Xiang Li
Ruihui Pu
Hong Liao- 1School of Foreign Languages and Cultures, Panzhihua University, Panzhihua, China
- 2Faculty of Economics, Srinakharinwirot University, Bangkok, Thailand
Introduction: As the world is consistently driven by the infusion of new-generation information technology and the knowledge economy, college students are placed under mounting pressure in developing occupation-related competencies. Their employability has been receiving growing concerns from stakeholders such as higher education institutions, governments, employers, parents, and even student groups themselves as it plays a decisive role in occupational success, social stability, and economic prosperity. Under the theoretical guidance of social cognitive theory, this study set out to investigate the cognitive and psychological mechanisms through which innovation capability, social adaptability, and self-efficacy influence the employability of college students. It also attempts to analyze the mediating role of self-efficacy in the relations between innovation capability, social adaptability, and employability which has been rarely studied in academia.
Methods: A quantitative approach was employed in this study. Data was collected from 726 undergraduates from 9 higher education institutions in the mainland of China by questionnaire survey method. The research model showed a good fit (χ2/df=4.46, RMSEA=0.069, SRMR=0.049, GFI=0.934, CFI=0.965, NFI=0.955, TLI=0.955). Structural equation modeling (SEM) was applied to this study for data analysis.
Results: The findings showed that innovation capability, social adaptability, and self-efficacy significantly and positively correlates with undergraduates’ employability. University students with stronger innovation capability, social adaptability, and self-efficacy tend to be more employable in the job market. Model 4 of SPSS PROCESS Macro revealed that self-efficacy played a mediating role in the correlation between innovation capability, social adaptability, and employability.
Discussion: Undergraduates with higher levels of innovation capability and social adaptability are more confident in their abilities to take specific actions and achieve expected goals, which in turn intensifies their employability. The study suggests the possibility of improving undergraduates’ employability through positive interference of innovation capability, social adaptability, and self-efficacy in the era of information technology and knowledge-based economy.
Introduction
The unemployment of college graduates has become a growing issue raising concerns with governments, universities, and society in general (Green and Henseke, 2016; Minocha et al., 2017; Mok et al., 2021). Only through employment can today’s graduates from higher education institutions earn an income, learn work values, and find personal development that will lead to success and prosperity. From a macro perspective, employment also helps maintain social stability (Crowley, 2016; Roy and Das, 2019) and boost economic growth (Seyfried, 2011; Ren et al., 2022). In many countries, the cultivation of students’ occupation-related competencies and attributes to improve employment prospects is regarded as a key strategy for the development and transformation of higher education (Sin et al., 2019; Rees, 2021; Healy et al., 2022). However, employers are facing mounting pressure in offering sufficient jobs to graduates. In particular, since the outbreak of the COVID-19 pandemic in 2019, many enterprises have been placed in a terrible predicament due to economic decline (Flögel and Gärtner, 2020), market disruption (Wang et al., 2021) and decreasing sales (Kim D., 2021), and the labor market has been devastated by the reduced demand of employees from industries and businesses and increased supply of talents from higher education institutions, which in turn has made an increasingly severe problem of the employment of graduating college students and those who have recently graduated during this pandemic. Taking China as an example, on November 19, 2021, the Ministry of Education and the Ministry of Human Resources and Social Security pointed out that the number of Chinese college graduates would surge to 10.76 million in 2022, which increased by 1.67 million over the same period last year. Although the majority of colleges and universities have included the cultivation of students’ employability in their pedagogical programs, practitioners in businesses and industries still indicate that graduates turn out to be not work-ready and lack some fundamental skills required by the real job positions (Pauw et al., 2008; White et al., 2021). Related academic studies have also pointed out that graduates have insufficient skills valued in modern work circumstances (Sarkar et al., 2020; Mgaiwa, 2021). The main crux of the current employment difficulties of college graduates can be attributed to the lack of employability (Cumming, 2010) because such ability enables them to be more employable in the labor market and increase the possibility of finding a job.
Employability refers to the combination of personal characteristics such as ability, personality, desire, and social resources to secure employment, including the knowledge and skills possessed by individuals in the process of developing their careers, as well as a series of comprehensive adaptations to the work contexts (Schreuder and Coetzee, 2006; Yorke, 2006; Zhang et al., 2022). It is the embodiment of comprehensive competencies to drive career development based on learning ability. In the interconnected and ever-changing working environment, employability is a critical factor for both organizations that want to gain competitive advantage and individuals who are pursuing career success (Fugate et al., 2004). Organizations need to ensure that there are enough employable talents who have the ability, motivation, and quality to maintain the survival and development of the organization. Graduates expect to acquire employable qualities to serve the changing contemporary workplaces and meet the requirements of internal transformation in higher education (Wickramasinghe and Perera, 2010). Employability is the comprehensive demand for college students’ career success, enterprise efficiency, and economic development. Bridging the cultivation of applied talents in tertiary education institutions and the demand of the real economy, great attention has been paid to both theoretical and practical viewpoints of major stakeholders including government, employers, colleges, and the students themselves.
Today’s world is experiencing an unprecedented fundamental shift because the mode of economic development has changed from factor-driven and investment-driven to innovation-driven (Xu et al., 2022). Innovation is currently recognized as a key driver of industrial upgrading, economic growth, competitive advantage, and sustainable development (Lewin et al., 2016; Mazzucato, 2018; Chen et al., 2020). Countries all over the world are formulating policies to promote innovation-driven development to sustain and enhance the national core competitiveness and comprehensive strength, such as reindustrialization in the United States, Industry 4.0 in Germany, and Made in China 2025 (Wang and Dong, 2022). Cultivating innovative talents turned into a common goal of higher education institutions because the development of students’ innovative capability can further enhance the strategic advantages and survivability of organizations and countries (Jingyu and Su, 2021). Enterprises that are transforming from a labor-intensive growth model to an innovation-driven growth model are in urgent need of innovative talents (Irfan Sabir and Moazzam Sabir, 2010). Despite the fact that innovation capability plays such a critical role in the cultivation of college students, research has mostly been done from the perspectives: (1) the effect of innovation and entrepreneurship education in enhancing undergraduates’ employability (Li, 2017); (2) the pedagogical innovation in improving the employability skills (Martínez-Cerdá et al., 2020); (3) supporting employability by a skills assessment innovative online tool (Gabor and Matis, 2019). However, few studies have been conducted pertaining to how innovation capability of college students impacts their employability.
Social adaptability refers to the practices of adjusting to social institutions and coordinating behavior to accommodate the social environment (Zhang and Xia, 2021). Previous research on the employability of college undergraduates confirmed that adaptability is an influential factor for students to attain a sustainable competitive edge in knowledge and competence (Chung and Chae, 2016). It is noteworthy that most of the related academic efforts have been made in general adaptability (van Dam, 2013; Helens-Hart, 2019; Collie et al., 2020) and career adaptability (Atitsogbe et al., 2019; Al-Jubari et al., 2021; Matijaš and Seršić, 2021; Stead et al., 2022). For example, a cross-sectional study of 405 final-year nursing college students found that career adaptability significantly predicted employability (Ma et al., 2021). Social adaptability, one of the key influencing factors of competitiveness in the job market for college students (Zhang and Xia, 2021), has not been paid due attention by the academic community.
Both innovation capability and social adaptability are highly sought-after abilities placed on the shoulder of college students by modern society. The advancement of science and technologies in various fields such as information, transportation, energy, materials, engineering, sports etc. requires today’s talents to be innovative to follow the pace and lead the development of these new technologies (Tang et al., 2022; Zhang and Liu, 2022). Society expects colleges and universities to develop qualified graduates who have the adaptability and innovation capabilities to be successfully employed (Borg et al., 2019). On the other hand, the constantly changing society poses numerous challenges for college students to be well-adapted for their personal well-being and career success. An ever-changing environment requires them to be adaptable to identify and take advantage of career opportunities (Fugate et al., 2004; González-Romá et al., 2018). Launching social practices and strengthening the social adaptability of college students can improve their employability and help alleviate the current pressure of difficult employment for college students (Qi, 2014). In view of this, the current study investigates the impact of innovation capability and social adaptability on undergraduates’ employability in the same research context.
Under the theoretical guidance of social cognitive theory that elucidates how humans regulate and tune their own behavior (Owusu-Agyeman and Fourie-Malherbe, 2021), the current research sets out to investigate the cognitive and psychological mechanisms (Zhang X. et al., 2021) through which innovation capability, social adaptability, and self-efficacy may influence the employability of college students. According to social cognitive theory (Bandura, 1977, 1986, 1997), although behavior is jointly determined by the external environment and internal cognition, cognition plays a leading role in determining the final action. Cognitive skills contribute to the cultivation of knowledge and intelligence skills (Anderson and Krathwohl, 2001) and are the key elements highlighted in various employability studies (Coetzee and Beukes, 2010; Rees, 2021; Bennett and Ananthram, 2022). The core component of the cognition factor is self-efficacy developed through the interaction between internal personal factors and environmental events, and its formation is influenced by a variety of factors (Myyry et al., 2022). Self-efficacy was found to have a significantly and positively direct influence on undergraduates’ employability (Chow et al., 2019; Sultana and Malik, 2020; Tentama and Nur, 2021) and play a mediating role in the relationship between the transformational leadership of teachers and the employability of students (Wang et al., 2020), between identification with commitment and perceived employability skills (Chukwuedo et al., 2022) and between teacher knowledge transfer and student employability (Zhao et al., 2021). Nevertheless, the mediation role of self-efficacy on the relations between innovation capability and employability and between social adaptability and employability among college students has hardly been studied.
In summary, most of the previous academic efforts have been made in detecting the components of undergraduates’ employability (McQuaid and Lindsay, 2005; Fugate and Kinicki, 2008; Clarke, 2018; Zhang et al., 2022) and exploring the influencing factors such as career adaptability (Udayar et al., 2018; Atitsogbe et al., 2019), self-efficacy (Berntson et al., 2008; Dacre Pool and Qualter, 2013), soft skills (Finch et al., 2013), emotional intelligence (Potgieter and Coetzee, 2013), career satisfaction (Nauta et al., 2009; Dacre Pool and Qualter, 2013), academic performance (Pinto and Ramalheira, 2017), and work-integrated learning (Jackson, 2015), but little research has been done pertaining to how and to which extent the innovation capability and social adaptability of undergraduates affect their employability. In the meanwhile, no previous research has simultaneously taken innovation capability, social adaptability, self-efficacy, and undergraduates’ employability into consideration. The present work attempts to systematically investigate the correlation between these factors and the employability of college undergraduates. Additionally, the research explored the mediating function of self-efficacy on the correlation between innovation capability, social adaptability, and employability. By exploring the correlations and interactions between these constructs, the current study can offer practical implications for governments, tertiary education institutions, and college students as to how to bring about positive interference in improving undergraduates’ employability.
Literature review and hypothesis development
Employability
Employability is a multi-dimensional and multi-level construct (Bennett and Ananthram, 2022; Hu et al., 2022; Zhang et al., 2022). However, some definitions have been widely accepted, retested, and updated by researchers in the past two decades. Employability is defined as an integration of capabilities, knowledge, and personal traits that make it easier for individuals to obtain jobs and attain achievements in their selected careers, thus benefiting themselves, the labor market, the economy, and society (Yorke, 2006). It refers to individuals’ abilities such as knowledge, logical thinking, learning quality, self-administration, and interpersonal skills (Honig et al., 2017) to address the needs of employers to the greatest extent and complete the assignments delivered by the employers (Boh et al., 2016). It means continuously completing or obtaining work by making the best utilization of both one’s employment-related abilities and meta-competencies (Heijde and Van Der Heijden, 2006; Schreuder and Coetzee, 2006). By constantly applying and developing a series of supporting capabilities and attributes through dynamic and evolving stages, it increases the opportunities for individuals to obtain and maintain job opportunities (Jackson and Oliver, 2018; Spencer, 2021). Related research on employability has been conducted from different perspectives (individual, organizational, and industrial) by scholars across various academic disciplines such as educational science (Pinto and Ramalheira, 2017; Atitsogbe et al., 2019), business and management studies (Hogan et al., 2013), sociology (Liu et al., 2020), psychology (Vanhercke et al., 2014; Sultana and Malik, 2020) etc. in terms of definition (Fugate et al., 2004; Tomlinson, 2012), model (Knight and Yorke, 2002; Pool, 2017), factors (Nauta et al., 2009; Finch et al., 2013; Udayar et al., 2018) and evaluation (Palmer et al., 2018; Cotronei-Baird, 2020).
For the present study, college students’ employability is a comprehensive professional ability obtained through acquiring knowledge and developing qualities during their studies in colleges and universities, which can realize their values and meet the needs of society by finding jobs after graduation. The employability of college students is not a static concept but a dynamic organism that integrates competencies, knowledge, and psychological attributes acquired in higher education to help them adapt to the ever-changing internal and external work circumstances of the future (Vermeulen et al., 2018). It helps students become work-prepared according to occupational demands and assist employers in providing job applicants with the best chance of sustainable employment (Singh et al., 2017). Involving both employment and career development, it is regarded as a key factor affecting students’ future employment prospects (Thijssen et al., 2008).
Innovation capability
Innovation refers to the generation and implementation of novel ideas beneficial to the corresponding context (Baumol, 2010) and the execution of notably ameliorated ideas, products, processes, methods, practices, or relations (OECD, 2005). It is a comprehensive ability to fulfill innovative processes and generate innovative results by putting knowledge and skills into use (Hao, 2021). For the most part, innovation and creativity are used as synonyms in academic literature. Innovation is regarded as the realization of creativity by fundamentally reconstructing and re-imagining existing objects and integrating novel ideas and thoughts (Heap, 1989). Innovative ability has turned into one of the most critical employability attributes of college students that help them better prepare for future workplaces (Acar and Tuncdogan, 2019). Innovative college students are characterized by curiosity, associative thinking, bravery, and creative self-efficacy (Hulme et al., 2014). Students’ innovation capability refers to a set of self-perceived abilities and expertise that students can learn and utilize through college curriculum and training courses to better generate innovation results (Shane, 2007; Mars and Hoskinson, 2013). It is regarded as a key higher education outcome that is prioritized as an institutional strategy by educators (Selznick and Mayhew, 2018, 2019). They are driven to formulate strategies to encourage students and teachers to think creatively and identify opportunities through teaching, learning, and research (Binks, 2014). They are also striving to enhance students’ employability by improving their skills, expertise, attitude as well as innovation capability, so as to address the increasingly fierce international challenges (Nanjundeswaraswamy and Swamy, 2022). Innovation education is conducive to cultivating college students’ innovative spirit and ability, which is of great significance to improve their employability (Li, 2017). Students see the ability to innovate as critical to their employability and preparing them for future jobs (Edziwa and Blignaut, 2022). Innovative college graduates find jobs faster than their classmates (Pilav-Velic et al., 2020). Developing students’ innovative spirit and practical competence is an important approach to increasing the employment of graduates and an effective measure to relieve the employment pressure. Developing college students into innovative professionals helps them adapt to the dynamic landscape of the workplace and secures sustainable employment (Chang, 2014). Based on these arguments, Hypothesis 1 was proposed:
H1: Innovation capability of college students has a direct and positive effect on their employability.
Social adaptability
As the world is constantly changing, college students should not merely have solid theoretical knowledge and professional skills, but also be equipped with strong social adaptability. Adaptability refers to all the strategies adopted by a person in order to cope with conflicts in natural and social environments (Sadock et al., 2007), as well as the process of adapting to social systems and adjust their actions to suit the social context (Zhang and Xia, 2021). It is what individuals must acquire in their life to integrate into the external environment and culture and achieve their own physical and mental growth. The process of social adaptability is substantially the process of consecutive socialization of human beings (Helens-Hart, 2019). In addition, it reflects one’s capacity to handle daily affairs and independently assume social responsibilities, as well as whether he/she has acquired the ability to meet sociocultural expectations (Wang et al., 2012). Social adaptability is one of the essential qualifications that college students need in order to participate in social life and the labor market. Developing strong social adaptability can facilitate their smooth entry into society, sound interpersonal relationships, and career success in the end. Based on an extensive meta-analysis of 202 studies, adaptability steadily demonstrated the strongest association with perceived employability among students (Harari et al., 2021). Only with strong social adaptability can college students overcome all kinds of hindrances at work and keep moving forward in the difficulties they may encounter in the future (Kovess-Masfety et al., 2016). Graduates in social education who have stronger adaptability to new situations perform better in terms of employability (Ricci Caballo et al., 2022). Students who opted for internships scored significantly higher than other students in adaptability and enhanced their resilience, which in turn improved their employability (Goodenough et al., 2020). Social adaptability may have little to do with specific jobs, but it is the basic work skills and thinking ability of college students, which can help them secure a job position, deal with various situations in the workplace and stand out from their work. Therefore, Hypothesis 2 was proposed:
H2: College students’ social adaptability has a positive effect on their employability.
Self-efficacy
Self-efficacy refers to the judgment and perceived capability of individuals to adopt certain behaviors, complete necessary work and achieve goals under certain circumstances, which can affect the selection of tasks, the quality of task implementation, the degree of endeavor to complete selected tasks, and the perseverance in task execution (Bandura, 1997). It reflects people’s beliefs in their capabilities to learn or perform actions at a particular level, and their hope that those actions could lead to specific goals with expected results (Feltz et al., 2008). The construct has been widely applied in various research fields as it has shown high levels of correlation with learning strategies (Wang and Wu, 2008), academic performance (Choi, 2005), career success (Rigotti et al., 2020), and perseverance (Harahsheh, 2017). Self-efficacy was also identified to be positively linked to job search behavior (Moynihan et al., 2003) and acted as a significant player in graduates’ employment (Pinquart et al., 2003; Tentama and Nur, 2021). For example, the analysis of 651 college students from six provinces in China revealed that self-efficacy had a positive prediction on employability (Wang D. et al., 2022). Based on the previous studies, those with higher levels of self-efficacy would rise to the challenges in the process of acquiring knowledge and skills (Ayllón et al., 2019), have greater confidence in hunting for jobs upon graduation (Lian et al., 2021), and become more employable in the labor market (Wang D. et al., 2022). Therefore, Hypothesis 3 was put forward:
H3: College students’ self-efficacy positively predicts their employability.
In the face of adversity, innovators tend to demonstrate perseverance and confidence to tackle challenges and are more motivated to find ways to solve problems, which accordingly enhanced their self-efficacy (Luthans et al., 2007). Innovation passion was found to have a significant impact on employees’ abilities to free themselves from pre-defined roles to complete incorporated missions and also on employees’ self-perceived competencies fostered in long-run internal and external exchanges (Jia et al., 2021). A cross-sectional investigation of 848 nurses from eight tertiary hospitals and four secondary hospitals in Tianjin, China found that innovative behavior had a positive impact on self-efficacy (Dan et al., 2018). The SEM analysis of 339 employees and 89 supervisors of Taiwan international tourist hotels showed that creative personality had a significantly positive effect on self-efficacy in the ability to generate creative results (Teng et al., 2020).
Innovation capability was also proved to have a positive impact on self-efficacy among students. When handling new tasks, innovative students demonstrate a stronger willingness to assume risks and higher levels of self-efficacy (Pilav-Velic et al., 2020). A quantitative survey of 211 students at a large-scale public higher education institution in Southeastern America found that there was a positive association between personal innovative ability in information technology and self-efficacy in using computers in different environments (Thatcher and Perrewe, 2002). Further evidence also showed that innovation was positively related to students’ self-efficacy in programming (Liu et al., 2022) and the professional self-efficacy of undergraduate nursing students (Shen et al., 2021).
On the basis of these prior studies, the stronger innovation capability college students have, the higher self-efficacy they will be equipped with. As argued in the development of hypothesis 3, higher self-efficacy further leads to higher employability. It indicates that self-efficacy may play a mediating role in the correlation between innovation capability and employability. To test that prediction, Hypothesis 3a was formulated:
H3a: Self-efficacy plays a significant mediating role in the association between college students’ innovation capability and employability.
High adaptation led to a more positive self-efficacy belief and resulted in lower levels of anxiety among college students in China during the COVID-19 pandemic (Wang C. et al., 2022). A study on two samples (Sample 1 = 340, Sample 2 = 547) of college students from Thailand (Tolentino et al., 2019), a convenient sample of 358 participants from tertiary education institutions in Malaysia (Al-Jubari et al., 2021), and an online cross-sectional survey on 667 graduates in Croatia (Matijaš and Seršić, 2021) showed that adaptability had a positive relationship with self-efficacy in searching jobs. Adaptability to different contexts also had a positive prediction effect on self-efficacy in career decision-making (Ting and Datu, 2020; Kim H., 2021). Research on 14,182 science teachers and 57,131 students from 2,189 high schools across eight nations revealed that the greater teacher adaptability was, the greater teacher self-efficacy and student self-efficacy would be (Collie et al., 2020). A meta-analysis of 18 samples with a total population of 6,339 participants found that adaptability in a career context was moderately positively correlated with self-efficacy (Stead et al., 2022).
In summary, the stronger social adaptability college students have, the more self-efficacious they will be. The existing studies discussed in the development of hypothesis 3 show that higher self-efficacy resultantly relates to stronger employability. It suggests that self-efficacy may function as a mediator in the association between social adaptability and employability. Hence, Hypothesis 3b was proposed:
H3b: Self-efficacy plays a role in mediating the relation between social adaptability and undergraduates’ employability.
The conceptual framework of the current research is shown in Figure 1. It proposes that innovation capability has a positive influence on employability. Social adaptability positively predicts employability. Self-efficacy mediates the relationship between innovation capability and employability. It also severs as a mediator in the relationship between social adaptability and employability.
Figure 1. Proposed conceptual framework of the research.
Methodology
Pilot test
The pilot test for this study took place at Panzhihua University, a public university in Sichuan province, China. We distributed the digital version of the questionnaire to four schools, namely, School of Foreign Languages and Cultures, School of Chinese Language and Literature, School of Civil Engineering and Architecture, and School of Medicine. A total of 292 valid questionnaires were collected. We asked some respondents if there were any ambiguities or difficulties in understanding the statements or descriptions after they returned the questionnaire. To make the questionnaire more understandable, some Chinese words were revised based on suggestions from the respondents. A reliability test was performed using Cronbach’s alpha value, and exploratory and confirmatory factor analysis were conducted with SPSS 25.0 and AMOS 24. As a result, the items in the preliminary scale were reduced from 25 to 17 after the pilot test.
Participants and sampling
A total of 729 final-year students were recruited in this study from 9 Chinese universities by convenience sampling method. A systematic review of the existing literature on developing employability skills among higher education institutions pointed out that 11 of the 13 studies adopted a convenience sampling method to collect data (Jackson and Oliver, 2018). Among the 729 participants, 124 were from Henan province (17.0%), 116 were from Guangdong province (15.9%), 91 from Shandong province (12.5%), 86 from Sichuan Province (11.8%), 79 from Hebei Province (10.8%), 64 from Hubei Province (8.8%), 60 from Anhui Province (8.2%), 50 from Jiangxi Province (6.9%), 33 from Shaanxi Province (4.5%), 20 from Hunan Province (2.7%), 4 from Tianjin municipality directly under the central government (0.5%), 1 from Fujian Province (0.1%), and 1 from Jiangsu Province (0.1%). As shown in Table 1, 422 (57.9%) were female and 307 were male (42.1%). They were all enrolled in bachelor programs in 33 disciplines such as English Language and Literature (N = 120), Health Service and Management (N = 118), Chinese Language and Literature (N = 114), Civil Engineering (N = 105), etc. The disciplines with more than 10 participants were listed in Table 1.
Table 1. Basic report of the sample.
The current study specifically focuses on the employability of final-year college students whose ages have no significant difference in China and are also of no importance to the research objectives. Thus, we did not collect information about the participants’ ages in the questionnaire survey. Previous studies on the employability of college students adopted similar data collection strategies. For example, Zhang et al. (2022) examined how university factors increase undergraduates’ employability and they did not survey the ages of the participants.
Measures
The items used in the questionnaire in this research were all adapted from existing scales validated in the previous literature. The current questionnaire was rated on a 5-point Likert scoring system starting from 1, strongly disagree, to 5, strongly agree.
Undergraduates’ innovation capability was tested by the Scale of Influencing Factors of College Students’ Innovation Capability designed by Yang (2013) with items like “I think challenging and novel activities are very important.” The scale was tested among 1,083 students enrolled in 68 bachelor’s programs in humanities and social sciences from 11 colleges and universities and showed excellent reliability and validity. Four items were adopted in the present study after the pilot test with Cronbach’s alpha value of 0.930.
Self-efficacy was measured by The Morgan-Jinks Student Efficacy Scale (Jinks and Morgan, 1999) with items like “When the teacher asks a question, I usually know the answer even if the other students do not.” Two dimensions with 4 items were used in the current study: effort and context after the pilot test. The Cronbach’s alpha value was 0.853.
Contemporary University Students’ Social Adaptation Scale (Fang, 2008) was utilized to test social adaptability with items like “I am very concerned about the development trend of society, so as to avoid falling behind.” The scale was tested with good reliability and validity among 483 students from 7 universities in China after a small-scale pilot test. Four items were used in the current study after the pilot test. It had a Cronbach’s alpha value of 0.873.
College Students’ Employability Scale developed by He (2019) was adapted to test the construct of employability with items like “I am willing to share my information and experience with the rest of the team.” Four items were employed after the pilot test. The Cronbach’s alpha value was 0.910.
Procedure
First, the researchers contacted teachers in the universities that participated in this study. After getting their permission, the hyperlink to the questionnaire (Praveen et al., 2019) was sent to them via QQ and WeChat, the most widely used network communication tools in China (Cheng et al., 2021). With their help, the questionnaire was distributed to the final-year undergraduates in the corresponding universities. Next, the students voluntarily finished the questionnaire on the online platform “Wenjuanxin” (known as China’s Qualtrics; Zhang et al., 2022) during the time span from 7 November 2021 to 25 January 2022. All participants were fully informed of the scope and objectives of the survey and the confidentiality and anonymity of their responses before filling out the measurement instrument to ensure the ethical consideration of the research. Finally, SPSS version 25.0 was used to prepare the collected data for further analysis and conduct frequency and descriptive analysis to give a basic description of the sample. SPSS Amos 24.0 was utilized to test the reliability and validity of the data as well as conduct a confirmatory factor analysis and structural equation modeling. PROCESS version 3.5 was adopted to check the mediation effect of self-efficacy.
Results
Reliability and validity
Cronbach’s α was applied to assess the internal consistency reliability. The rule of Cronbach’s alpha value is generally deemed: α ≥ 0.9 excellent; 0.8 ≤ α < 0.9 good; 0.7 ≤ α < 0.8 acceptable; 0.6 ≤ α < 0.7 questionable; 0.5 ≤ α < 0.6 poor; α < 0.5 unacceptable (Peterson, 1994). The entire questionnaire had excellent reliability (α = 0.939). As shown in Table 2, the construct of innovation capability (α = 0.930) and employability (α = 0.910) had excellent reliability and social adaptability (α = 0.873) and self-efficacy (α = 0.853) had good reliability. The data was suitable for factor analysis after being verified by The Kaise–Meryer–Olkin test (KMO = 0.924, Bartlett’s test of sphericity < 0.001). The items had a strong association with the corresponding construct since the factor loading of each observable variable is > 0.5 (Liao et al., 2006).
Table 2. Reliability and validity measures of the scale.
Construct validity was examined by convergent and discriminant validity. Average variance extracted (AVE) should be at least greater than 0.5 (Rafati et al., 2021) and the composite reliability (CR) must be greater than 0.7 (Fornell and Larcker, 1981) to indicate acceptable convergent validity. As shown in Table 2, the scale had a good convergent validity with the AVE of innovation capability, social adaptability, self-efficacy, and employability are 0.778, 0.632, 0.581, and 0.691, respectively, and the CR of each variable is 0.933, 0.873, 0.846, and 0.899. For good discriminate validity, the AVE square roots of the construct should be greater than the correlation coefficients between it and other constructs (Fornell and Larcker, 1981). Table 3 shows that the square roots of social adaptability, self-efficacy employability and employability are 0.795, 0.762, 0.831 and 0.882, respectively. The scale in this research achieved good discriminate validity since the AVE square roots of each construct exceeded the correlation coefficients with other constructs.
Table 3. Discriminate validity of the scale.
Model estimates and hypothesis testing
Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were constructed by IBM SPSS AMOS 24.0. χ2/df < 5.00 was considered acceptable (Hu and Bentler, 1999; Schumacker and Lomax, 2016). RMSEA ≤ 0.05 is considered “good,” 0.05 ≤ RMSEA ≤0.08 “fair,” 0.08 ≤ RMSEA ≤ 0.10 “mediocre,” RMSEA > 0.10 “poor” (MacCallum et al., 1996). The values of GFI, CFI, NFI, TLI above 0.95 suggest excellent model fit, between 0.90 and 0.95 good (Łakuta, 2018). SRMR < 0.08 is deemed as a good fit (Hu and Bentler, 1999). Table 4 displays the results obtained from the analysis and identified that the proposed model had a good fit (χ2/df = 4.46, RMSEA = 0.069, SRMR = 0.049, GFI = 0.934, CFI = 0.965, NFI = 0.955, TLI = 0.955).
Table 4. Model fix index.
The correlations among the latent variables were tested by SEM via IBM SPSS AMOS 24.0. The results are presented in Figure 2 and Table 5. The path coefficient of IC to students’ Emp was 0.344 (p < 0.001), thus Hypothesis 1 was supported. College students’ innovation capability positively and significantly influences their employability. When they are equipped with stronger innovation capability, they will be more employable in the job market. The path coefficient of SA to undergraduates’ Emp was 0.510 (p < 0.001), thus Hypothesis 2 was supported. Social adaptability of college students has a significantly positive relation to their employability. If they are more socially adaptable, they will have a better chance to find a job after graduation. The path coefficient of SE to students’ Emp was 0.099 (p < 0.01), thus Hypothesis 3 was supported. Self-efficacy has a positive prediction on Emp. It indicates that if college students have greater self-efficacy in their academic engagement, they will be equipped with stronger employability.
Figure 2. Result of the path analysis. IC, innovation capability; SA, social adaptability; SE, self-efficacy; Emp, employability.
Table 5. Path coefficient estimates of the proposed SEM.
The mediation effect was analyzed by using PROCESS version 3.5, an SPSS Macro (Hayes, 2018). Model 4 with Bootstrap samples of 5,000 was performed to assess indirect, direct, and total effects of the association between self-efficacy, innovation capability, social adaptability, and employability to detect the mediation effect of self-efficacy in the relations between innovation capability and employability, and between social adaptability and employability. Bootstrap CI method was set at Bias Corrected and Confidence level 95%. BootLLCI and BootULCI need to have a range that excludes 0 to establish a significant mediating effect (Flores-Barrantes et al., 2020).
Table 6 shows that the total effect of innovation capability on employability was 0.570 (p < 0.001) and the direct effect was 0.486 (p < 0.001). The indirect effect of self-efficacy on the relation between innovation capability and employability was 0.084. The range between BootLLCI (0.042) to BootULCI (0.134) excluded 0. Hence, H3a was supported. Self-efficacy plays a mediator of the effect of innovation capability on employability. Innovative college students tend to be more confident in their abilities and behaviors, which in turn increases their employability in the labor market. Self-efficacy intensifies the effect of innovation capability on employability among college students.
Table 6. Mediating effect of innovation capability on employability.
As shown in Table 7, the total effect of social adaptability on employability was 0.579 (p < 0.001) and the direct effect was 0.495 (p < 0.001). The indirect effect of self-efficacy on the association between social adaptability and employability was 0.083. The interval of BootLLCI and BootULCI was between 0.038 and 0.133, which did not include 0. Therefore, H3b was supported. Self-efficacy played an intermediary role in the correlation between social adaptability and employability. It is more likely for the college students with higher social adaptability to have stronger beliefs in their capabilities to take action and attain expected goals, which accordingly make them more employable when seeking jobs. Self-efficacy strengthens social adaptability’s positive impact on undergraduates’ employability.
Table 7. Mediating effect of social adaptability on employability.
Discussion
The current research confirmed that innovation capability has a significant play in college students’ employability, which echoes the findings of the scarce previous studies (Okafor et al., 2020; Rees, 2021). The world is entering into an era of knowledge economy that prioritizes intellectual property, creativity, and competitive advantage. In the same manner, employers place more emphasis on building a talent pool with strong innovative spirit and ability to help them survive and prosper in the increasingly fierce market competition. As future innovators, college students are bound to intensify their innovative capabilities to get ready for the job market, maintain sustainable employment, and make contributions to economic growth and social progress. Innovation capability can turn the future workforce into problem solvers, critical thinkers, effective decision-makers, initiating managers, and constructive leaders. Previous research has revealed that innovation abilities should and can be developed in the process of engaging in higher learning (Boyles, 2012; Mayhew et al., 2016). As a result, tertiary education institutions should step up their efforts in offering integrated innovation training and education to cultivate talents that meet the needs of the stakeholders. They should strive to raise the awareness of innovation among undergraduates through related contests and entrepreneurship lectures (Zhang B. et al., 2021).
The study found a positive correlation between social adaptability and the employability of undergraduates. Social adaptability can be viewed as one of the most critical abilities for college students to step into the real world and integrate into society. They must adjust to their social surroundings, interact with other people, follow social rules, maintain social relationships, and overcome various obstacles to become social beings (Ashraf et al., 2016). At the same time, socio-cultural contexts are also significant factors that influence students’ academic achievements and work performance (Lee and Ciftci, 2014). Weak ability in socio-cultural adaptation would impede undergraduates from acquiring potential social support, lower their confidence in doing the job well and hinder their adjustment to the new environment. Although the major task of college students is to acquire the knowledge and skills required by future jobs, the ability to adjust to the changing and challenging work and social contexts and maintain good interpersonal relationships are essential guarantees for a successful career. They must learn how to reach a consensus with others while leaving aside differences and establishing favorable cooperation in the process of competition. Therefore, students need to take active participation in extra-curricular activities, join student unions or associations and take part-time jobs to develop their social skills as a necessary supplement to their employability. As for the colleges and universities, they are encouraged to integrate the cultivation of social adaptability into their teaching plans and organize more on-campus and off-campus activities to make their graduates more employable in the future labor market.
The analysis also showed that there was a significant positive association between self-efficacy and undergraduates’ employability and revealed that self-efficacy mediated the effect of innovation capability and social adaptability on employability. As previous studies have confirmed that self-efficacy has a significant and positive impact on innovative behaviors (Michael et al., 2011; Tierney and Farmer, 2011), college students should be greatly motivated to improve their self-efficacy to enhance their innovation capability and produce more innovative outcomes in the future job positions. In addition, self-efficacy was identified to be an effective mediator of the effect on students’ motivation, achievement, and performance (Zimmerman, 2000). The findings of this study were consistent with the previous research and further highlighted the critical position of self-efficacy for the development and cultivation of undergraduates as self-efficacy relates to students’ confidence in their abilities to mobilize cognitive resources for the successful completion of tasks (Bandura, 1982). If they believe that their efforts can lead to expected outcomes, they could be more engaged in academic undertakings, innovative training, and social activities. Self-efficacy encourages students to perform various actions to achieve academic and career goals and develop skills to overcome adversities in the modern job market. It would in turn help them become more confident in searching for job opportunities and pursuing excellence in workplaces. As self-efficacy has consistently been determined to have a significant impact on personal perceptions of competencies, confidence, and expectations (Michael et al., 2011), a deep comprehension of the correlation between innovation capability, social adaptability, self-efficacy, and employability can significantly improve the employment situations of college students. Therefore, tertiary education providers should intensify their efforts in reinforcing undergraduates’ self-beliefs about their abilities to innovate, adapt and achieve in interconnected and changing contexts.
In terms of employability itself, the academic community is seeing the inconsistent and evolving nature of the construct’s definition. From 1 January 2000 to 31 December 2021, there were 3,091 academic references listed in the Web of Science Core Collection database (SEI-expanded, SSCI, and A&HCI) with the retrieving strategy: Topic = employability, Languages = English, Document Types = Articles or Review Articles. As shown in Figure 3, the publications on employability increased significantly in the past two decades. The total amount of published academic papers in 2021 was 18.8 times more than that in 2000, and 5.5 times more than that in 2010. Particularly, the yearly publications remained over 400 in the past 3 years, doubling the average annual amount in the period between 2016 and 2018. The consistent growing trend indicates that employability is a hot research topic in the academic community. The flourishing studies have been enriching the definition and dimension of employability. For example, the USEM model of employability developed by Knight and Yorke (2002) divided employability into four dimensions: subject understanding, skills (subject-specific and generic), personal qualities (including self-theories and efficacy beliefs), and metacognition (including reflection). Fugate et al. (2004) first proposed that employability was composed of three dimensions: career identity, personal adaptability, and social and human capital, and later examined five crucial dimensions: “openness to changes at work, work and career resilience, work and career proactivity, career motivation, and work identity” (Fugate and Kinicki, 2008). Clarke (2018) proposed an employability structure with six critical dimensions: “human capital, social capital, individual attributes, individual behaviors, perceived employability, and labor market factors.” Zhang et al. (2022) suggested that employability consists of “professional knowledge and skills, learning ability, adaptability, practical ability, communication ability, teamwork ability, information acquisition ability, and career planning ability.” Different researchers interpreted the components of employability from varying perspectives and for different research objectives, which leads to the reality that there is no consensus on the definition of employability in academia. The present study focused on the dimensions of teamwork, communication and coordination, and self-learning skill that are deemed of paramount importance to college students’ employability (He, 2019). Teamwork is the core to ensure the effective operation of the organization and all departments within the organization (Watson et al., 2022) and is a highly sought-after competence by employers (Parratt et al., 2016). A qualitative study on job developers revealed that soft skills such as communication and coordination were more desirable than job-related technical skills (Scheef et al., 2019). Self-learning skill can keep individuals updated both in knowledge and competence to maintain competitiveness in the workplace and secure sustainable employment in the contemporary lifelong learning society (Wang, 2017).
Figure 3. Publications of academic papers on employability between 2000 and 2021.
Implications
Governments, tertiary education institutions, and employers are intensifying their contact since industries are troubled by the fact that graduates from universities and colleges are not ready for work (Edziwa and Blignaut, 2022). The results of the current study provide both theoretical and managerial implications for the possible solutions to the current employment difficulties of college graduates and suggest feasible measures for the relevant stakeholders to enhance undergraduates’ employability through a systematic reinforcement of their innovation capability, social adaptability, and self-efficacy.
Theoretical implications
The present study examined the relations between innovation ability, social adaptability, self-efficacy, and employability and self-efficacy’s mediation in the relations between innovation capability and employability, and between social adaptability and employability of college students. By using quantitative methods including questionnaires, structural equation modeling, and mediation analysis, college students’ employability was confirmed to be significantly impacted by their innovation capability, social adaptability, and self-efficacy. Self-efficacy intensified the positive effect of innovation capability and social adaptability on undergraduates’ employability. The findings enriched the existing literature on undergraduates’ employability by revealing the psychological mechanism through which the two prominent and sought-after abilities, innovation capability and social adaptability, affect employability. The study could be of theoretical value to future researchers interested in this field to develop a more comprehensive and integrated framework to systematically investigate the factors that affect college students’ employability.
Managerial implications
Education administration studies have become increasingly diverse and numerous over the past few years (Hallinger and Kovačević, 2019). Institutions of higher learning are faced with growing pressure to redesign their organizations to accommodate changing funding sources and social demands (Song, 2021). Universities are striving to enhance the employability of their students by fostering their innovation capability to tackle challenges at a global level (Nanjundeswaraswamy and Swamy, 2022). They are making increasing efforts to improve their teaching quality by formulating innovative practices because their students must be equipped with ample knowledge, skills, and competencies to succeed and excel in today’s ever-changing world (Asiyai, 2022). Based on the findings of the current study, higher education administrators can upgrade their employability enhancement initiatives through curriculum reform that integrates the development of innovation capability, social adaptability, and self-efficacy (Campbell et al., 2019). It accelerates the transformation of higher education management, enriches the content related to employability training, and enhances the effectiveness of human resource development. By doing so, college graduates equipped with these traits will be able to respond more quickly to the demands of industries and the challenges of the job market. They can also help organizations and governments maintain competitive advantages in the era featuring knowledge economy and innovation-driven development, which also plays an essential part in guaranteeing the sustainability of higher education.
Conclusion
This study investigated the correlation between innovation capability, social adaptability, self-efficacy, and the employability of college students and the mediation effect of self-efficacy on the relations between innovation capability and employability and between social adaptability and employability. By adopting a quantitative approach with a questionnaire survey and conducting path analysis with structural equation modeling and mediation analysis with SPSS PROCESS Macro, we found that innovation capability, social adaptability, and self-efficacy significantly positively correlated with employability. In the meanwhile, self-efficacy functioned as a mediator in the association between innovation capability, social adaptability, and employability of undergraduates. The findings provided insight into the salient factors that impact the employability of college students, revealed the psychological mechanism through which these factors interact with employability, and proposed positive interference in students’ innovation capability, social adaptability and self-efficacy to develop their employability.
Limitations and future research directions
The current study has made noteworthy contributions to the existing literature on undergraduates’ employability. However, it has a few limitations that can trigger future research. First, the conclusions drawn in this study revealed several valuable insights for the development of tertiary education and college students, but more research is encouraged to extend the sample size to further test the generalization of the results. Second, the study has investigated the employability of college students with the sub-factors of teamwork, communication, coordination, and self-learning skill. Future research is recommended to explore the effect of innovation capability and social adaptability on other attributes of undergraduates’ employability to grasp a more comprehensive understanding and evaluation. Third, the findings are obtained through quantitative research with a questionnaire survey as its principal research method. A qualitative approach such as interviewing the stakeholders (college students, employers) is beneficial to gain a more comprehensive understanding of the correlation between innovation capability, social adaptability, self-efficacy, and employability.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent from the patients/participants or patients/participants legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.
Author contributions
RP: conceptualization. XL and HL: data curation. XL and RP: investigation, methodology. RP and HL: supervision and writing—review and editing. XL: writing–original draft. All authors contributed to the article and approved the submitted version.
Funding
This research was funded by the Soft Science Project of the Science and Technology Department of Sichuan Province (grant no.: 22RKX0624).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Acar, O. A., and Tuncdogan, A. (2019). Using the inquiry-based learning approach to enhance student innovativeness: a conceptual model. Teach. High. Educ. 24, 895–909. doi: 10.1080/13562517.2018.1516636
Al-Jubari, I., Shamsol Anuar, S. N. B., Ahmad Suhaimi, A. A. B., and Mosbah, A. (2021). The impact of career adaptability and social support on job search self-efficacy: a case study in Malaysia. J. Asian Fin. Econ. Bus. 8, 515–524. doi: 10.13106/JAFEB.2021.VOL8.NO6.0515
Anderson, L. W., and Krathwohl, D. R. (Eds.) (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives: complete edition. New York: Longman.
Ashraf, M. A., Osman, A. Z. R., and Ratan, S. R. A. (2016). Determinants of quality education in private universities from student perspectives: a case study in Bangladesh. Qual. Assur. Educ. 24, 123–138. doi: 10.1108/QAE-09-2013-0040
Asiyai, R. I. (2022). Best practices for quality assurance in higher education: implications for educational administration. Int. J. Leadersh. Educ. 25, 843–854. doi: 10.1080/13603124.2019.1710569
Atitsogbe, K. A., Mama, N. P., Sovet, L., Pari, P., and Rossier, J. (2019). Perceived employability and entrepreneurial intentions across university students and job seekers in Togo: the effect of career adaptability and self-efficacy. Front. Psychol. 10:180. doi: 10.3389/fpsyg.2019.00180
Ayllón, S., Alsina, Á., and Colomer, J. (2019). Teachers’ involvement and students’ self-efficacy: keys to achievement in higher education. PLoS One 14:e0216865. doi: 10.1371/journal.pone.0216865
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 84, 191–215. doi: 10.1037/0033-295X.84.2.191
Bandura, A. (1982). Self-efficacy mechanism in human agency. Am. Psychol. 37, 122–147. doi: 10.1037/0003-066X.37.2.122
Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. J. Soc. Clin. Psychol. 4, 359–373. doi: 10.1521/jscp.1986.4.3.359
Baumol, W. J. (2010). The microtheory of innovative entrepreneurship. Princeton: Princeton University Press.
Bennett, D., and Ananthram, S. (2022). Development, validation and deployment of the employ ABILITY scale. Stud. High. Educ. 47, 1311–1325. doi: 10.1080/03075079.2021.1888079
Berntson, E., Näswall, K., and Sverke, M. (2008). Investigating the relationship between employability and self-efficacy: a cross-lagged analysis. Eur. J. Work Organ. Psy. 17, 413–425. doi: 10.1080/13594320801969699
Binks, M. (2014). “The crucial role of universities in promoting radical innovation,” in The business growth benefits of higher education. eds. D. Greenaway and C. D. Rudd (London: Palgrave Macmillan UK), 91–108.
Boh, W. F., De-Haan, U., and Strom, R. (2016). University technology transfer through entrepreneurship: faculty and students in spinoffs. J. Technol. Transf. 41, 661–669. doi: 10.1007/s10961-015-9399-6
Borg, J., Scott-Young, C. M., and Turner, M. (2019). “Smarter education: leveraging stakeholder inputs to develop work ready curricula,” in Smart education and e-learning 2019. eds. V. L. Uskov, R. J. Howlett, and L. C. Jain, Vol. 144 (Singapore: Springer), 51–61.
Boyles, T. (2012). 21st century knowledge, skills, and abilities and entrepreneurial competencies: a model for undergraduate entrepreneurship education. J. Entrepreneursh. Educ. 15, 41–56.
Campbell, M., Cooper, B., Rueckert, C., and Smith, J. (2019). Reimagining student employability: a case study of policy and practice transformation. J. High. Educ. Policy Manag. 41, 500–517. doi: 10.1080/1360080X.2019.1646379
Chang, C.-C. (2014). An instructional cycle for enhancing innovation-embedded employability. Educ. Train. 56, 870–883. doi: 10.1108/ET-03-2014-0021
Chen, J., Yin, X., and Li, J. (2020). Firm innovation system: paths for enhancing corporate indigenous innovation capability. Front. Engineer. Manage. 7, 404–412. doi: 10.1007/s42524-020-0116-2
Cheng, Y., Chen, Y., Xue, B., and Zhang, J. (2021). Regional differentiation and influencing factor analysis of residents’ psychological status during the early stage of the COVID-19 pandemic in South China. Int. J. Environ. Res. Public Health 18:11995. doi: 10.3390/ijerph182211995
Choi, N. (2005). Self-efficacy and self-concept as predictors of college students’ academic performance. Psychol. Sch. 42, 197–205. doi: 10.1002/pits.20048
Chow, H. J., Wong, S. C., and Lim, C. S. (2019). Examining mediating role of self-efficacy on undergraduates’ perceived employability. Int. J. Acad. Res. Bus. Soc. Sci. 9, 135–154. doi: 10.6007/IJARBSS/v9-i6/5929
Chukwuedo, S. O., Onwusuru, I. M., and Agbo, N. M. (2022). Practitioners’ vocational guidance with direct learning model: influencing career commitment and employability in electrical/electronic technology education. Int. J. Educ. Vocat. Guid. 22, 23–48. doi: 10.1007/s10775-021-09471-6
Chung, D.-Y., and Chae, Y.-H. (2016). The effect of employability on the entrepreneurial intention: focus on double mediation role of self-leadership and self-efficacy. Korean Acad. Assoc. Bus. Admin. 29, 467–488. doi: 10.18032/kaaba.2016.29.3.467
Clarke, M. (2018). Rethinking graduate employability: the role of capital, individual attributes and context. Stud. High. Educ. 43, 1923–1937. doi: 10.1080/03075079.2017.1294152
Coetzee, M., and Beukes, C. J. (2010). Employability, emotional intelligence and career preparation support satisfaction among adolescents in the school-to-work transition phase. J. Psychol. Afr. 20, 439–446. doi: 10.1080/14330237.2010.10820396
Collie, R. J., Granziera, H., Martin, A. J., Burns, E. C., and Holliman, A. J. (2020). Adaptability among science teachers in schools: a multi-nation examination of its role in school outcomes. Teach. Teach. Educ. 95:103148. doi: 10.1016/j.tate.2020.103148
Cotronei-Baird, V. S. (2020). Academic hindrances in the integration of employability skills development in teaching and assessment practice. High. Educ. 79, 203–223. doi: 10.1007/s10734-019-00405-4
Crowley, S. (2016). Monotowns and the political economy of industrial restructuring in Russia. Post Soviet Affairs 32, 397–422. doi: 10.1080/1060586X.2015.1054103
Cumming, J. (2010). Contextualised performance: reframing the skills debate in research education. Stud. High. Educ. 35, 405–419. doi: 10.1080/03075070903082342
Dacre Pool, L., and Qualter, P. (2013). Emotional self-efficacy, graduate employability, and career satisfaction: testing the associations. Aust. J. Psychol. 65, 214–223. doi: 10.1111/ajpy.12023
Dan, X., Xu, S., Liu, J., Hou, R., Liu, Y., and Ma, H. (2018). Innovative behaviour and career success: mediating roles of self-efficacy and colleague solidarity of nurses. Int. J. Nurs. Sci. 5, 275–280. doi: 10.1016/j.ijnss.2018.07.003
Edziwa, X., and Blignaut, S. (2022). Graduate employability skills: the voice of agricultural technical vocational education and training (ATVET) students in Zimbabwe. South Afr. J. High. Educ. 36, 99–114. doi: 10.20853/36-2-4501
Fang, C. (2008). The survey of contemporary university students’ social adaptation, Chongqing: Southwest University.
Feltz, D. L., Short, S. E., and Sullivan, P. J. (2008). Self-efficacy in sport: Research and strategies for working with athletes, teams and coaches. Champaign: Human Kinetics.
Finch, D. J., Hamilton, L. K., Baldwin, R., and Zehner, M. (2013). An exploratory study of factors affecting undergraduate employability. Educ. Train. 55, 681–704. doi: 10.1108/ET-07-2012-0077
Flögel, F., and Gärtner, S. (2020). The covid-19 pandemic and relationship banking in Germany: will regional banks cushion an economic decline or is a banking crisis looming? Tijdschr. Econ. Soc. Geogr. 111, 416–433. doi: 10.1111/tesg.12440
Flores-Barrantes, P., Iguacel, I., Iglesia-Altaba, I., Moreno, L. A., and Rodríguez, G. (2020). Rapid weight gain, infant feeding practices, and subsequent body mass index trajectories: the CALINA study. Nutrients 12:3178. doi: 10.3390/nu12103178
Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Market. Res. 18, 39–50. doi: 10.1177/002224378101800104
Fugate, M., and Kinicki, A. J. (2008). A dispositional approach to employability: development of a measure and test of implications for employee reactions to organizational change. J. Occup. Organ. Psychol. 81, 503–527. doi: 10.1348/096317907X241579
Fugate, M., Kinicki, A. J., and Ashforth, B. E. (2004). Employability: a psycho-social construct, its dimensions, and applications. J. Vocat. Behav. 65, 14–38. doi: 10.1016/j.jvb.2003.10.005
Gabor, B., and Matis, J. (2019). Supporting employability by a skills assessment innovative tool—sustainable transnational insights from employers. Sustainability 11:3360. doi: 10.3390/su11123360
González-Romá, V., Gamboa, J. P., and Peiró, J. M. (2018). University graduates’ employability, employment status, and job quality. J. Career Dev. 45, 132–149. doi: 10.1177/0894845316671607
Goodenough, A. E., Roberts, H., Biggs, D. M., Derounian, J. G., Hart, A. G., and Lynch, K. (2020). A higher degree of resilience: using psychometric testing to reveal the benefits of university internship placements. Act. Learn. High. Educ. 21, 102–115. doi: 10.1177/1469787417747057
Green, F., and Henseke, G. (2016). Should governments of OECD countries worry about graduate underemployment? Oxf. Rev. Econ. Policy 32, 514–537. doi: 10.1093/oxrep/grw024
Hallinger, P., and Kovačević, J. (2019). A bibliometric review of research on educational administration: science mapping the literature, 1960 to 2018. Rev. Educ. Res. 89, 335–369. doi: 10.3102/0034654319830380
Hao, C. (2021). An exploratory research on constructing a model of innovation and entrepreneurship education for college students based on fuzzy neural network algorithm. Secur. Commun. Netw. 2021:1, –8. doi: 10.1155/2021/5533376
Harahsheh, A. H. (2017). Perceived self-efficacy and its relationship to achievement motivation among parallel program students at prince Sattam university. Int. J. Psychol. Stud. 9, 21–34. doi: 10.5539/ijps.v9n3p21
Harari, M. B., McCombs, K., and Wiernik, B. M. (2021). Movement capital, RAW model, or circumstances? A meta-analysis of perceived employability predictors. J. Vocat. Behav. 131:103657. doi: 10.1016/j.jvb.2021.103657
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. 2nd Edn. New York: Guilford Press.
He, J. (2019). Research on the impact of the integration of innovation entrepreneurship education with professional education on the employability of college students. Xiangtan: Xiangtan University.
Healy, M., Brown, J. L., and Ho, C. (2022). Graduate employability as a professional proto-jurisdiction in higher education. High. Educ. 83, 1125–1142. doi: 10.1007/s10734-021-00733-4
Heijde, C. M. V. D., and Van Der Heijden, B. I. J. M. (2006). A competence-based and multidimensional operationalization and measurement of employability. Hum. Resour. Manage. 45, 449–476. doi: 10.1002/hrm.20119
Helens-Hart, R. (2019). The employability self-assessment: identifying and appraising career identity, personal adaptability, and social and human capital. Manage. Teach. Rev. 4, 6–13. doi: 10.1177/2379298118775937
Hogan, R., Chamorro-Premuzic, T., and Kaiser, R. B. (2013). Employability and career success: bridging the gap between theory and reality. Ind. Organ. Psychol. 6, 3–16. doi: 10.1111/iops.12001
Honig, M. I., Venkateswaran, N., and McNeil, P. (2017). Research use as learning: the case of fundamental change in school district central offices. Am. Educ. Res. J. 54, 938–971. doi: 10.3102/0002831217712466
Hu, L., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. Multidiscip. J. 6, 1–55. doi: 10.1080/10705519909540118
Hu, S., Jiang, L., and Chen, L. (2022). Get a little help from your perceived employability: cross-lagged relations between multi-dimensional perceived employability, job insecurity, and work-related well-being. Eur. J. Work Organ. Psy. 1–14, 1–14. doi: 10.1080/1359432X.2022.2050219
Hulme, E., Thomas, B., and DeLaRosby, H. (2014). Developing creativity ecosystems: preparing college students for tomorrow’s innovation challenge. About Campus Enrich. Student Learn. Exp. 19, 14–23. doi: 10.1002/abc.21146
Irfan Sabir, R., and Moazzam Sabir, R. (2010). Managing technological innovation: China’s strategy and challenges. J. Technol. Manage. China 5, 213–226. doi: 10.1108/17468771011086238
Jackson, D. (2015). Employability skill development in work-integrated learning: barriers and best practice. Stud. High. Educ. 40, 350–367. doi: 10.1080/03075079.2013.842221
Jackson, T. P., and Oliver, S. (2018). Adaptive learning program for developing employability skills. J. Pedagog. Dev. 8, 17–31.
Jia, J., Liu, Z., and Zheng, Y. (2021). How does paradoxical leadership promote bootlegging: a TPB-based multiple mediation model. Chin. Manag. Stud. 15, 919–939. doi: 10.1108/CMS-09-2020-0418
Jingyu, Y., and Su, Y. (2021). Study on evaluating innovation ability of high-tech industry based on particle swarm synthesis optimization. Tehnicki Vjesnik-Technical Gazette 28, 616–623. doi: 10.17559/TV-20190430051659
Jinks, J., and Morgan, V. (1999). Children’s perceived academic self-efficacy: an inventory scale. Clear. House J. Educ. Strat. Iss. Ideas 72, 224–230. doi: 10.1080/00098659909599398
Kim, D. (2021). Visualizing the regional patterns of two crises: the COVID-19 outbreak and decreasing MSME sales during three different phases of 2020 in Korea. Environ. Planning A Econ. Space 53, 1591–1593. doi: 10.1177/0308518X211013033
Kim, H. (2021). The effect of career decision-marking self-efficacy on career adaptability and career preparation behavior of pre-service early childhood teachers. J. Human. Soc. Sci. 12, 2189–2200. doi: 10.22143/HSS21.12.5.154
Knight, P. T., and Yorke, M. (2002). Employability through the curriculum. Tert. Educ. Manag. 8, 261–276. doi: 10.1080/13583883.2002.9967084
Kovess-Masfety, V., Leray, E., Denis, L., Husky, M., Pitrou, I., and Bodeau-Livinec, F. (2016). Mental health of college students and their non-college-attending peers: results from a large French cross-sectional survey. BMC Psychol. 4:20. doi: 10.1186/s40359-016-0124-5
Łakuta, P. (2018). Social anxiety questionnaire (SAQ): development and preliminary validation. J. Affect. Disord. 238, 233–243. doi: 10.1016/j.jad.2018.05.036
Lee, J., and Ciftci, A. (2014). Asian international students’ socio-cultural adaptation: influence of multicultural personality, assertiveness, academic self-efficacy, and social support. Int. J. Intercult. Relat. 38, 97–105. doi: 10.1016/j.ijintrel.2013.08.009
Lewin, A. Y., Kenney, M., and Murmann, J. P. (Eds.) (2016). China’s innovation challenge: Overcoming the middle-income trap. Cambridge: Cambridge University Press.
Li, G. (2017). Role of innovation and entrepreneurship education in improving employability of medical university students. EURASIA 13, 8149–8154. doi: 10.12973/ejmste/80779
Lian, R., Cai, W., Chen, K., Shen, H., Gao, X., Xu, B., et al. (2021). Linking mentoring and job search behavior: a moderated mediation model. SAGE Open 11:215824402110672. doi: 10.1177/21582440211067235
Liao, S.-W., Lai, W.-L., Chen, J.-J., Sheu, J.-Y., and Lee, C.-G. (2006). Water quality during development and apportionment of pollution from rivers in Tapeng lagoon, Taiwan. Environ. Monit. Assess. 122, 81–100. doi: 10.1007/s10661-005-9166-5
Liu, X., Peng, M. Y.-P., Anser, M. K., Chong, W.-L., and Lin, B. (2020). Key teacher attitudes for sustainable development of student employability by social cognitive career theory: the mediating roles of self-efficacy and problem-based learning. Front. Psychol. 11:1945. doi: 10.3389/fpsyg.2020.01945
Liu, J., Sun, M., Dong, Y., Xu, F., Sun, X., and Zhou, Y. (2022). The mediating effect of creativity on the relationship between mathematic achievement and programming self-efficacy. Front. Psychol. 12:772093. doi: 10.3389/fpsyg.2021.772093
Luthans, F., Youssef, C. M., and Avolio, B. J. (2007). “Psychological capital: investing and developing positive organizational behavior,” in Positive organizational behavior. eds. I. D. Nelson and C. Cooper (London: SAGE Publications Ltd.), 9–24.
Ma, Y., Yue, Y., and Hou, L. (2021). The impact of proactive personality and clinical learning environment on nursing college students’ perceived employability. Nurse Educ. Pract. 56:103213. doi: 10.1016/j.nepr.2021.103213
MacCallum, R. C., Browne, M. W., and Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychol. Methods 1, 130–149. doi: 10.1037/1082-989X.1.2.130
Mars, M. M., and Hoskinson, S. (Eds.) (2013). A cross-disciplinary primer on the meaning and principles of innovation. 1st Edn. Bingley: Emerald.
Martínez-Cerdá, J.-F., Torrent-Sellens, J., and González-González, I. (2020). Socio-technical e-learning innovation and ways of learning in the ICT-space-time continuum to improve the employability skills of adults. Comput. Hum. Behav. 107:105753. doi: 10.1016/j.chb.2018.10.019
Matijaš, M., and Seršić, D. M. (2021). The relationship between career adaptability and job-search self-efficacy of graduates: the bifactor approach. J. Career Assess. 29, 683–698. doi: 10.1177/10690727211002281
Mayhew, M. J., Rockenbach, A. B., Bowman, N. A., Seifert, T. A., and Wolniak, G. C. (2016). How college affects students: 21st century evidence that higher education works. San Francisco: Jossey-Bass.
Mazzucato, M. (2018). Mission-oriented innovation policies: challenges and opportunities. Ind. Corp. Chang. 27, 803–815. doi: 10.1093/icc/dty034
McQuaid, R. W., and Lindsay, C. (2005). The concept of employability. Urban Stud. 42, 197–219. doi: 10.1080/0042098042000316100
Mgaiwa, S. J. (2021). Fostering graduate employability: rethinking Tanzania’s university practices. SAGE Open 11:215824402110067. doi: 10.1177/21582440211006709
Michael, L. A. H., Hou, S.-T., and Fan, H.-L. (2011). Creative self-efficacy and innovative behavior in a service setting: optimism as a moderator. J. Creat. Behav. 45, 258–272. doi: 10.1002/j.2162-6057.2011.tb01430.x
Minocha, S., Hristov, D., and Reynolds, M. (2017). From graduate employability to employment: policy and practice in UK higher education. Int. J. Train. Dev. 21, 235–248. doi: 10.1111/ijtd.12105
Mok, K. H., Xiong, W., and Ye, H. (2021). COVID-19 crisis and challenges for graduate employment in Taiwan, mainland China and East Asia: a critical review of skills preparing students for uncertain futures. J. Educ. Work. 34, 247–261. doi: 10.1080/13639080.2021.1922620
Moynihan, L. M., Roehling, M. V., LePine, M. A., and Boswell, W. R. (2003). A longitudinal study of the relationships among job search self-efficacy, job interviews, and employment outcomes. J. Bus. Psychol. 18, 207–233. doi: 10.1023/A:1027349115277
Myyry, L., Karaharju-Suvanto, T., Virtala, A.-M. K. R., Raekallio, M., Salminen, O., Vesalainen, M., et al. (2022). How self-efficacy beliefs are related to assessment practices: a study of experienced university teachers. Assess. Eval. High. Educ. 47, 155–168. doi: 10.1080/02602938.2021.1887812
Nanjundeswaraswamy, T. S., and Swamy, D. R. (2022). Knowledge management processes and organizational culture in the higher educational technical institutions. J. Econ. Admin. Sci. 38, 270–286. doi: 10.1108/JEAS-07-2020-0134
Nauta, A., Vianen, A., Heijden, B., Dam, K., and Willemsen, M. (2009). Understanding the factors that promote employability orientation: the impact of employability culture, career satisfaction, and role breadth self-efficacy. J. Occup. Organ. Psychol. 82, 233–251. doi: 10.1348/096317908X320147
Okafor, I., Manafa, F., Adeniji, A., Olokooba, I., and Ayorinde, O. (2020). Innovation and employability of national youth service corps members for sustainable development in south-east, Nigeria. New Educ. Rev. 61, 144–155. doi: 10.15804/tner.20.61.3.11
Owusu-Agyeman, Y., and Fourie-Malherbe, M. (2021). Students as partners in the promotion of civic engagement in higher education. Stud. High. Educ. 46, 1241–1255. doi: 10.1080/03075079.2019.1666263
Palmer, S., Young, K., and Campbell, M. (2018). Developing an institutional evaluation of the impact of work-integrated learning on employability and employment. Int. J. Work Integr. Learn. 19, 371–383.
Parratt, J. A., Fahy, K. M., Hutchinson, M., Lohmann, G., Hastie, C. R., Chaseling, M., et al. (2016). Expert validation of a teamwork assessment rubric: a modified Delphi study. Nurse Educ. Today 36, 77–85. doi: 10.1016/j.nedt.2015.07.023
Pauw, K., Oosthuizen, M., and Van der Westhuizen, C. (2008). Graduate unemployment in the face of skills shortages: a labour market paradox. South Afr. J. Econ. 76, 45–57. doi: 10.1111/j.1813-6982.2008.00152.x
Peterson, R. A. (1994). A meta-analysis of Cronbach’s coefficient alpha. J. Consum. Res. 21, 381–391. doi: 10.1086/209405
Pilav-Velic, A., Selimovic, J., and Jahic, H. (2020). “Personal innovativeness and employability: how personal traits affect employer attractiveness,” in Eurasian Business Perspectives. eds. M. H. Bilgin, H. Danis, E. Demir, and U. Tony-Okeke, Vol. 15/2 (Cham: Springer International Publishing), 23–32.
Pinquart, M., Juang, L. P., and Silbereisen, R. K. (2003). Self-efficacy and successful school-to-work transition: a longitudinal study. J. Vocat. Behav. 63, 329–346. doi: 10.1016/S0001-8791(02)00031-3
Pinto, L. H., and Ramalheira, D. C. (2017). Perceived employability of business graduates: the effect of academic performance and extracurricular activities. J. Vocat. Behav. 99, 165–178. doi: 10.1016/j.jvb.2017.01.005
Pool, L. D. (2017). “Developing graduate employability: the career EDGE model and the importance of emotional intelligence,” in Graduate employability in context. eds. M. Tomlinson and L. Holmes (London: Palgrave Macmillan UK), 317–338.
Potgieter, I., and Coetzee, M. (2013). Emotional intelligence as a predictor of postgraduate students’ psychosocial employability attributes. J. Psychol. Afr. 23, 187–194. doi: 10.1080/14330237.2013.10820614
Praveen, K. M., Patil, A., Kakkar, A. K., and Singh, H. (2019). Decoding the roadmap for capacity building of pharmacology academicians in catering to drug information Center Services in a Developing Country. J. Pharm. Technol. 35, 146–154. doi: 10.1177/8755122519841364
Qi, Z. (2014). The ways to enhance the employment and business-starting capacity of university engineering students in a new situation. 2014 International Symposium-Reform and Innovation of Higher Engineering Education, 227–231.
Rafati, F., Sharif Nia, H., Khoshnood, Z., and Allen, K.-A. (2021). Development and psychometric testing of nursing students’ perceptions of clinical stressors scale: an instrument design study. BMC Psychiatry 21, 1–10. doi: 10.1186/s12888-020-02964-8
Rees, S. (2021). Re-imagining employability: an ontology of employability best practice in higher education institutions. Teach. High. Educ. 26, 663–678. doi: 10.1080/13562517.2019.1670637
Ren, Q., Gu, G., Zhou, Y., and Zhang, Z. (2022). Research on the economic effect of employment structure change in heterogeneous regions: evidence from resource-based cities in China. Econ. Res. Ekonomska Istraživanja 35, 6364–6384. doi: 10.1080/1331677X.2022.2048199
Ricci Caballo, B., Alonso Díaz, L., and Mendo Lázaro, S. (2022). Competencias sistémicas que predicen la empleabilidad en Educación Social. Educación XX1 25, 201–221. doi: 10.5944/educxx1.31538
Rigotti, T., Korek, S., and Otto, K. (2020). Career-related self-efficacy, its antecedents and relationship to subjective career success in a cross-lagged panel study. Int. J. Hum. Resour. Manag. 31, 2645–2672. doi: 10.1080/09585192.2018.1460858
Roy, S., and Das, A. K. (2019). “Employment and stability,” in Industry, innovation and infrastructure. eds. W. Leal Filho, A. M. Azul, L. Brandli, P. G. Özuyar, and T. Wall (Cham: Springer International Publishing), 1–12.
Sadock, B. J., Kaplan, H. I., and Sadock, V. A. (2007). Kaplan & Sadock’s synopsis of psychiatry: Behavioral sciences/clinical psychiatry. 10th Edn. Philadelphia: Wolter Kluwer/Lippincott Williams & Wilkins.
Sarkar, M., Overton, T., Thompson, C. D., and Rayner, G. (2020). Academics’ perspectives of the teaching and development of generic employability skills in science curricula. High. Educ. Res. Dev. 39, 346–361. doi: 10.1080/07294360.2019.1664998
Scheef, A. R., Walker, Z. M., and Barrio, B. L. (2019). Salient employability skills for youth with intellectual and developmental disabilities in Singapore: the perspectives of job developers. Int. J. Dev. Disabil. 65, 1–9. doi: 10.1080/20473869.2017.1335479
Schreuder, A. M. G., and Coetzee, M. (2006). Careers: An organisational perspective. 3rd Edn. Lansdowne: Juta Academic.
Schumacker, R. E., and Lomax, R. G. (2016). A beginner’s guide to structural equation modeling (fourth edition). New York: Routledge.
Selznick, B. S., and Mayhew, M. J. (2018). Measuring undergraduates’ innovation capacities. Res. High. Educ. 59, 744–764. doi: 10.1007/s11162-017-9486-7
Selznick, B. S., and Mayhew, M. J. (2019). Developing first-year students’ innovation capacities. Rev. High. Educ. 42, 1607–1634. doi: 10.1353/rhe.2019.0077
Seyfried, W. (2011). Examining the relationship between employment and economic growth in the ten largest states. Southwestern Econ. Rev. 32, 13–24.
Shane, S. A. (2007). A general theory of entrepreneurship: The individual-opportunity nexus (Repr). Cheltenham: Elgar.
Shen, Y., Xie, W., Wang, X., Qu, J., Zhou, T., Li, Y., et al. (2021). Impact of innovative education on the professionalism of undergraduate nursing students in China. Nurse Educ. Today 98:104647. doi: 10.1016/j.nedt.2020.104647
Sin, C., Tavares, O., and Amaral, A. (2019). Accepting employability as a purpose of higher education? Academics’ perceptions and practices. Stud. High. Educ. 44, 920–931. doi: 10.1080/03075079.2017.1402174
Singh, R., Chawla, G., Agarwal, S., and Desai, A. (2017). Employability and innovation: development of a scale. Int. J. Innov. Sci. 9, 20–37. doi: 10.1108/IJIS-10-2016-0041
Song, S.-Y. (2021). Organizational responses to the marketization of higher education institutions: a comparative case study of South Korea and Hong Kong. Asia Pac. J. Educ. 41, 266–280. doi: 10.1080/02188791.2020.1775550
Spencer, S. M. (2021). A comprehensive, iterative, and integrated model for developing psychology workforce literacy. Can. Psychol. 62, 409–419. doi: 10.1037/cap0000309
Stead, G. B., LaVeck, L. M., and Hurtado Rúa, S. M. (2022). Career adaptability and career decision self-efficacy: meta-analysis. J. Career Dev. 49, 951–964. doi: 10.1177/08948453211012477
Sultana, R., and Malik, O. F. (2020). Protean career attitude, perceived internal employability and perceived external employability: does self-efficacy make a difference? Middle East J. Manage. 7, 343–364. doi: 10.1504/MEJM.2020.108076
Tang, Y., Zan, S., and Zhang, X. (2022). A comparative study on the competitiveness of knowledge-driven sports brands. Wirel. Commun. Mob. Comput. 2022, 1–11. doi: 10.1155/2022/2489568
Teng, C., Hu, C., and Chang, J. (2020). Triggering creative self-efficacy to increase employee innovation behavior in the hospitality workplace. J. Creat. Behav. 54, 912–925. doi: 10.1002/jocb.419
Tentama, F., and Nur, M. Z. (2021). The correlation between self-efficacy and peer interaction towards students’ employability in vocational high school. Int. J. Eval. Res. Educ. 10, 8–15. doi: 10.11591/ijere.v10i1.20573
Thatcher, J. B., and Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Q. 26, 381–396. doi: 10.2307/4132314
Thijssen, J. G. L., Van der Heijden, B. I. J. M., and Rocco, T. S. (2008). Toward the employability—link model: current employment transition to future employment perspectives. Hum. Resour. Dev. Rev. 7, 165–183. doi: 10.1177/1534484308314955
Tierney, P., and Farmer, S. M. (2011). Creative self-efficacy development and creative performance over time. J. Appl. Psychol. 96, 277–293. doi: 10.1037/a0020952
Ting, L. C., and Datu, J. A. D. (2020). Triarchic model of grit dimensions as predictors of career outcomes. Career Dev. Q. 68, 348–360. doi: 10.1002/cdq.12241
Tolentino, L. R., Sibunruang, H., and Garcia, P. R. J. M. (2019). The role of self-monitoring and academic effort in students’ career adaptability and job search self-efficacy. J. Career Assess. 27, 726–740. doi: 10.1177/1069072718816715
Tomlinson, M. (2012). Graduate employability: a review of conceptual and empirical themes. High Educ. Pol. 25, 407–431. doi: 10.1057/hep.2011.26
Udayar, S., Fiori, M., Thalmayer, A. G., and Rossier, J. (2018). Investigating the link between trait emotional intelligence, career indecision, and self-perceived employability: the role of career adaptability. Personal. Individ. Differ. 135, 7–12. doi: 10.1016/j.paid.2018.06.046
van Dam, K. (2013). On the move: on employees’ individual adaptability in dynamic work situations. Gedrag Organisatie 26, 311–328.
Vanhercke, D., De Cuyper, N., Peeters, E., and De Witte, H. (2014). Defining perceived employability: a psychological approach. Pers. Rev. 43, 592–605. doi: 10.1108/PR-07-2012-0110
Vermeulen, B., Kesselhut, J., Pyka, A., and Saviotti, P. (2018). The impact of automation on employment: just the usual structural change? Sustainability 10:1661. doi: 10.3390/su10051661
Wang, L. (2017). Sustainable development of college students’ autonomous learning ability from the perspective of diversified educational theory. Agro Food Ind Hi Tech 28, 1828–1832.
Wang, J., and Dong, W. (2022). Multiple effects of urban innovation activities on growth of key industries: case study in Hangzhou, China. J. Urban Plan. Dev. 148:05021054. doi: 10.1061/(ASCE)UP.1943-5444.0000782
Wang, B., Guo, Q., Liu, Q., Gao, J., and Wei, S. (2012). “Study the social adaptability of university students and the relationship with mental health and personality,” in Knowledge discovery and data mining. ed. H. Tan, Vol. 135 (Berlin Heidelberg: Springer), 467–472.
Wang, D., Guo, D., Song, C., Hao, L., and Qiao, Z. (2022). General self-efficacy and employability among financially underprivileged Chinese college students: the mediating role of achievement motivation and career aspirations. Front. Psychol. 12:719771. doi: 10.3389/fpsyg.2021.719771
Wang, S., Peng, M. Y.-P., Xu, Y., Simbi, V. T., Lin, K.-H., and Teng, T.-C. (2020). Teachers’ transformational leadership and students’ employability development: a social cognitive career perspective. Soc. Behav. Personal. Int. J. 48, 1–15. doi: 10.2224/sbp.8594
Wang, X., Si, C., Gu, J., Liu, G., Liu, W., Qiu, J., et al. (2021). Electricity-consumption data reveals the economic impact and industry recovery during the pandemic. Sci. Rep. 11:19960. doi: 10.1038/s41598-021-98259-3
Wang, C., Teng, M. F., and Liu, S. (2022). Psychosocial profiles of university students’ emotional adjustment, perceived social support, self-efficacy belief, and foreign language anxiety during COVID-19. Educ. Dev. Psychol. 1–12, 1–12. doi: 10.1080/20590776.2021.2012085
Wang, S., and Wu, P. (2008). The role of feedback and self-efficacy on web-based learning: the social cognitive perspective. Comput. Educ. 51, 1589–1598. doi: 10.1016/j.compedu.2008.03.004
Watson, H. R., Dolley, M., Perwaiz, M., Saxelby, J., Bertone, G., Burr, S., et al. (2022). ‘Everyone is trying to outcompete each other’: a qualitative study of medical student attitudes to a novel peer-assessed undergraduate teamwork module. FEBS Open Bio. 12, 900–912. doi: 10.1002/2211-5463.13395
White, M., Becker, J., and du Plessis, M. (2021). Unintended positive consequences of development centres in university graduates. Front. Psychol. 12:775377. doi: 10.3389/fpsyg.2021.775377
Wickramasinghe, V., and Perera, L. (2010). Graduates’, university lecturers’ and employers’ perceptions towards employability skills. Educ. Train. 52, 226–244. doi: 10.1108/00400911011037355
Xu, S., Yue, Q., and Lu, B. (2022). Grey correlation analysis on the synergistic development between innovation-driven strategy and marine industrial agglomeration: based on China’s coastal provinces. Grey Syst. Theory Appl. 12, 269–289. doi: 10.1108/GS-08-2020-0103
Yang, Q. (2013). Exploration on the structural and cultivating approach of university students’ innovation capabilities [master]. Wuhan: Hubei University.
Yorke, M. (2006). Employability in higher education: What it is-what it is not Higher Education Academy, York.
Zhang, X., Deng, H., Xia, Y., and Lan, Y. (2021). Employability paradox: the effect of development idiosyncratic deals on recipient employees’ turnover intention. Front. Psychol. 12:696309. doi: 10.3389/fpsyg.2021.696309
Zhang, B., Han, S., Xu, Q., and Jiao, L. (2021). Construction of innovation behavior of college-student entrepreneurs using entrepreneurship and innovation theory under educational psychology. Front. Psychol. 12:697924. doi: 10.3389/fpsyg.2021.697924
Zhang, W., and Liu, C. (2022). Research on the influence of talent ecosystem on firm innovation performance: based on the mediating role of collaborative innovation. Front. Environ. Sci. 10:982368. doi: 10.3389/fenvs.2022.982368
Zhang, D., and Xia, C. (2021). Ice and snow sports education based on 5G cloud computing to improve the social adaptability of southern university students. Sci. Prog. 2021, 1–12. doi: 10.1155/2021/3828624
Zhang, Y., Zhang, Y., Xiong, X., Liu, J.-B., and Zhai, R.-B. (2022). An empirical study on the improvement of college students’ employability based on university factors. Front. Psychol. 13:793492. doi: 10.3389/fpsyg.2022.793492
Zhao, W.-X., Peng, M. Y.-P., and Liu, F. (2021). Cross-cultural differences in adopting social cognitive career theory at student employability in PLS-SEM: the mediating roles of self-efficacy and deep approach to learning. Front. Psychol. 12:586839. doi: 10.3389/fpsyg.2021.586839
Keywords: innovation capability, social adaptability, self-efficacy, employability, undergraduates, higher education
Citation: Li X, Pu R and Liao H (2022) The impacts of innovation capability and social adaptability on undergraduates’ employability: The role of self-efficacy. Front. Psychol. 13:954828. doi: 10.3389/fpsyg.2022.954828
Edited by:
Sajjad Jasimuddin, Kedge Business School, FranceReviewed by:
Peng Qin, University of Shanghai for Science and Technology, ChinaMasduki Asbari, Universitas Pramita Indonesia, Indonesia
Augustina Asih Rumanti, Telkom University, Indonesia
Copyright © 2022 Li, Pu and Liao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ruihui Pu, cnVpaHVpQGcuc3d1LmFjLnRo