Pinglei Xu1,2
Ying Jiang2*- 1School of Management, Shanghai University, Shanghai, China
- 2School of Management, Guilin University of Aerospace Technology, Guilin, China
Despite the growing trend of Information and communication technology (ICT), little is known about its impact on job satisfaction and the mechanisms through which ICT operates. This study aimed to investigate new generation teachers’ ICT use on efficacy and job satisfaction. We conducted a cross-sectional survey on 234 new generation teachers in China. The Results revealed that ICT use had a positive direct impact on job satisfaction of new generation teachers. Teachers’ efficacy plays a partial mediating role and error aversion culture moderates the relationship between ICT use and teachers’ efficacy. This study complements our attempt to understanding the effect, mechanism and boundary condition of ICT use on new generation teachers’ work outcomes. It also provides a new direction for studying ICT use on employees belonging to other generations.
Introduction
Job satisfaction is a positive emotional experience toward employee job estimation (Locke, 1976; Spagnoli et al., 2012). Previous studies found that employee characteristics and working conditions influence job satisfaction (Judge et al., 2002; Tsai and Huang, 2008). As a new feature of current jobs, Information and Communication Technology (ICT) has greatly changed the way employees work (Kellogg et al., 2020). ICT refers to a technology which can access information by multiple communication means including the Internet, wireless networks, mobile phones as well as other communication media (Berg-Beckhoff et al., 2017). With the growing use of ICT in the workplace, employees have to struggle with new working conditions. Some scholars argued that ICT use may increase excessive workload pressure and anxiety about technology replacing human labor (Tarafdar et al., 2010, 2014; Srivastava et al., 2015), thus causing negative emotions. From the job characteristics perspective, ICT use reduces job satisfaction and job performance (Venkatesh et al., 2010).
However, these studies ignore employee characteristics. Employees belonging to different age-groups may have different views on job satisfaction and experience different emotions due to the changing work way. For example, some may consider working at home through ICT as it may improve work-family balance (Cousins and Robey, 2015). The Person-job fit theory posits that employee job satisfaction depends on the correspondence of individual and environmental attributes (Yu, 2009; Wang et al., 2020). When work demand matches individual’s abilities or individual needs fit work supply, individuals perceive more meaning in their work which increases work engagement (Tims et al., 2016; Van Vianen, 2018). New generation teachers may experience more job satisfaction while using ICT in work. Because they are born and grown up in the era of internet, they can easily adapt to ICT work demands. ICT use may fulfill their need for exploring new things, breaking rules and other psychological needs (Gursoy et al., 2008). Therefore, the ICT use of new generation teachers will promote their job satisfaction according to the person-job fit theory.
Meanwhile, the mechanism of ICT use on job satisfaction may have an effect through teachers’ efficacy. Efficacy refers to a teacher’s judgment on his or her personal ability to make students engaged in learning and achieve desired results, even for students who lack motivation and have difficulties in learning (Tschannen-Moran and Hoy, 2001). Peng and Mao (2015) found efficacy mediated person-job fit to job satisfaction. ICT use causes less stress and burnout, making new generation teachers more confident to acquire teaching resources through ICT. Teachers’ efficacy may promote teachers’ teaching engagement, goal setting and ambition level (Klassen and Chiu, 2010). ICT use may increase new generation teachers’ efficacy, increasing their sense of achievement, thereby increasing their job satisfaction.
In addition, organization culture may influence ICT use in teaching. Error Aversion culture means organization does not accept mistakes, and members in the organization need to cover up mistakes and bear pressure and negative personal image after making mistakes (van Dyck et al., 2005). As errors are inevitable in the application of ICT, new generation teachers may benefit form error communication and analysis. But an error aversion culture may create tension of ICT use, accordingly decreasing the efficacy of new generation teachers in ICT use. Based on the above considerations, the research explored the effect and mechanism between ICT and job satisfaction among new generation teachers from the perspective of personal-job fit, and further investigated error aversion culture’s influence on the above process.
In comparison with former studies, the current research has made contributions in the following aspects. First, it can enrich ICT use research by introducing personal-job fit theory explain ICT use on job satisfaction. Further, it reveals the mechanism by investigating the mediated role of teachers’ efficacy. Second, it expends the boundary conditions of ICT use by examining school culture and explaining how error aversion culture moderates the relationship between ICT use and teachers’ efficacy.
Theory and Hypotheses
Information and Communication Technology Use and Job Satisfaction Literature Review
The use of ICT in the workplace has become a daily routine, especially during the COVID-19 outbreak. ICT significantly affects employees’ working way and outcomes. Most researchers have focused on factors that influence the acceptance of technology, including knowledge, experience and beliefs (Pelgrum, 2001; Paraskeva et al., 2008; So et al., 2012). However, with few exceptions (e.g., Venkatesh et al., 2010; Wang et al., 2020), less attention has been paid to how employee’s ICT use influence their job satisfaction.
There are two perspectives toward the effect of ICT use, technostress and job characteristic model. From the technostress perspective, ICT user causes employees’ negative reactions such as stress, burnout and anxiety (Tarafdar et al., 2010, 2014). Torres (2021) found that use of ICT leads to psychological exhaustion and negative affect which further reduces their job satisfaction. Based on the job characteristics model, the effect of ICT use on employee job satisfaction depends on employees perceiving ICT use as a resource or a demand. If ICT use is perceived as a resource, it represents technological diversity, which may improve employee’s work efficiency or work motivation (Golden, 2006, 2007; Venkatesh et al., 2010). For example, the plagiarism detection system eases teachers’ reading of students’ work (Zaher et al., 2020). ICT use also increases individuals’ flexibility for managing their work and home roles, leading to less burnout and improved job satisfaction (Ninaus et al., 2021). Cousins and Robey (2015) found that mobile workers who use smartphones, laptops and other technologies in their work have taken advantage of technological affordances to manage their work-life boundaries. Otherwise, ICT as a job demand require continuous efforts of employees, resulting in stress and negative mood, which reduces job satisfaction. But these studies only emphasized on technology or work feature, ignoring that job satisfaction may be the result of matching job demand and employee characteristics.
Application of Person-Job Theory
The Person-job fit theory suggest that good fit between individuals and job leads to positive working outcomes such as job satisfaction, organization commitment (Kim et al., 2009; Wang et al., 2020). Person-job fit includes two aspects, the first is demands and ability fit which means the knowledge, skills and ability of employees adapt to the demands of the job; the second is need and supply fit which means employee needs, desires and preferences can be met by the supply of job (Edwards and Cooper, 1990; Jansen and Kristof-Brown, 2006; Kim et al., 2009). Kristof-Brown et al. (2005) using the meta-analysis method showed that person-job matching has a positive correlation with job satisfaction and organizational commitment.
New generation teachers whose aged between 22 and 43 years (Kehrli and Sopp, 2006; Borges et al., 2010) are the main participants of information technology application projects in primary and secondary schools of China. Unlike the previous generations, new generation teachers who grew up with the Internet, have a high acceptance and adaptability to new technology use in the work field. Instead of accepting a standard answer, they want to explore the underlining reasons by themselves and challenge manager’s authority (Kehrli and Sopp, 2006; Gursoy et al., 2008). They prefer autonomy to accomplish their jobs, and feel more satisfied when they participate in job decision making (García et al., 2019).
Based on the person-job fit theory, this manuscript argues that ICT use of new-generation teachers can positively affect their job satisfaction. The information-based teaching environment requires teachers to have the initiative and adaptability of ICT. Teachers should use general software and network teaching platforms to acquire, process, and make digital education resources. New generation teachers generally have a high level of computer knowledge (Kehrli and Sopp, 2006). They can easily apply new technology to acquire educational resources and feel less stress and burnout toward the ICT requirements of school. In addition, new generation teachers who like to explore new things have a strong creative and innovative spirit (Gursoy et al., 2008). ICT use offers them the opportunity to improve traditional teaching methods and experiment with innovative teaching ideas. Verkijika (2020) emphasized that mobile apps with simplicity characteristics meet user’s expectation and enhance user satisfaction. Their psychological needs are met in the teaching environment of ICT use. Shim and Kim (2020) found that dialog support of App Siri can increase users’ positive effect and satisfaction. Through ICT use, new generation teachers may achieve personal-job fit by matching demand and capabilities as well as need and supply, which may increase job satisfaction. Thus, Hypothesis 1 is proposed.
H1: New-generation teachers’ ICT use positively affects their job satisfaction.
Teachers’ Efficacy as a Mediator
We propose that ICT use can promote teacher efficacy of new generation teachers. According to the personal-job fit theory, when the characteristics of individuals and jobs match, individuals experience less burnout (Edwards and Billsberry, 2010) more engagement in work. Research shows the negative correlation between burnout and self-efficacy, because burnout caused by ICT use makes employees feel incapable of completing their work (Maslach et al., 2001). For the new generation teachers, the matching of ICT use and personal characteristics will reduce burnout. Correspondingly the match will promote new generation teachers’ ICT use to improve students’ learning interest and increase their sense of efficacy.
Efficacy of new generation teachers has a positive impact on job satisfaction. Studies showed that teachers with a high sense of efficacy are able to better plan and organize their classroom (Tschannen-Moran and Hoy, 2001). At the same time, teachers with a high sense of efficacy and willingness to embrace novel thoughts and methods can better satisfy students’ needs (Guskey, 1988; Tschannen-Moran and Hoy, 2001), because new generation teachers who have a higher efficacy can enhance students’ interest in learning and clear students’ doubts. Thus, their job satisfaction may increase from students’ progress. Alegre et al. (2016) found that efficacy enhances job satisfaction by reducing classroom management stress.
Combined with H1, this manuscript argues that new generation teachers’ ICT use promotes job satisfaction through teacher efficacy. Therefore, we propose our second hypothesis as follows:
H2: Teacher efficacy plays a mediating role in the impact of new generation teachers’ ICT use on job satisfaction.
Error Aversion Culture as Moderator
Culture is an important factor that influences the relationship between person and job (Chuang et al., 2015). This study focuses on school culture and analysis its influence on new generation teachers’ psychological needs and ICT behavior. Teachers exploring ICT in teaching may make errors. Some scholars argue that organizations have an error aversion culture; members perceived error experience as a negative event to be avoided. This will hinder communication, analysis, and learning from errors (van Dyck et al., 2005; Guchait et al., 2016).
We believe that error aversion culture may weaken the positive influence of ICT use and efficacy among new generation teachers. There are two reasons: first, when the error aversion culture is high, new generation teachers will reduce the exploration of ICT in teaching due to the fear of making mistakes. In addition, some new generation teachers who experiment with ICT find it difficult to learn from mistakes. Because in error aversion culture, they are reluctant to share their failing experiences and communicate the reasons for mistakes. New generation teachers who have unsuccessful experiences may dampen their confidence in improving student learning. Second, when error aversion culture is high, the new generation teachers need to hide mistakes or blame others in order to restore their personal image. New generation teachers seldom communicate with each other and are reluctant to share problems in ICT use so as to avoid being exposed or criticized by others. Interpersonal relationship between colleagues becomes relatively tensed. In strained interpersonal relationships, new generation teachers are distracted (Oldham, 1976) and are unable to fully participate in the classroom teaching plan and organization, which may decrease of their efficacy. On the contrary, when error aversion culture is low, new generation teachers can explore and learn independently without worrying about the risk of personal image damage caused by mistakes. New generation teachers can ICT to explore different teaching methods, which increases their possibility of providing personalized learning content. Correspondingly this may increase their sense of efficacy. When error aversion culture is low, new generation teachers may take the initiative to share their experiences of mistakes with colleagues and discuss the causes of mistakes and improvement methods so as to improve the teaching ability and effect, and enhance new generation teachers’ sense of efficacy. Therefore, we propose our third hypothesis as follows:
H3: Error aversion culture negatively moderates the relationship between ICT use and new generation teachers’ efficacy. Higher the organizational error aversion culture, weaker the positive impact of ICT use on efficacy in new generation teachers.
The theoretical model, along with all research hypotheses labeled, is presented in Figure 1.
Figure 1. The proposed model of ICT use and job satisfaction.
Materials and Methods
Sample
We collected data from new generation teachers in China. The literature considers teachers to belong to the new generation if they are born between 1981 and 1999 or after 1978 (Kehrli and Sopp, 2006; Borges et al., 2010). We used as a proxy the teachers aged between 22 and 43 as belonging to the new generation. To maintain the validity of the empirical data set, we included a qualification question in our online questionnaire to ensure only new generation teachers were included in the sample. To ensure the quality of the survey, we promised the participants that the data collected would only be used for academic research purposes and assured them that the questionnaire was without identity information.
We used a survey instrument to collect empirical data from primary and secondary schools of China, where teacher must participate the information technology application ability enhance project. Data were collected between May and June 2021. An online questionnaire was designed to collect data through the survey website www.credamo.com. The online surveys were based on a wide number of primary and secondary school teachers so that a sufficient number of samples can be obtained to ensure the accuracy and universality of the research. As authors were more familiar with educational information of Guangxi province, we limited our survey to this geographical area. Incomplete questionnaires were disqualified from the sample. In the end, 250 teachers received the survey invitation, and 234 completed the survey. The response rate was 83.6%, lending high confidence to the validity of finding in this research.
Description of sample is shown in Table 1. Among the respondents, 41.9% were males, 62% respondents were aged 22–30 years, while 34.6% teachers were aged 30–40 years, and 3.4% were aged 40–43 years. 73.1% of the respondents had a bachelor’s degrees, and most respondents had a more than 3 years teaching tenure.
Table 1. Sample characteristics and distribution (N = 234).
Measures
The scale used in this study are based on the literature. For most items we used existing scales with minimal adaptation. To ensure accuracy and validity of the questionnaire, we conducted a pre-survey with 10 new generation teachers and three experts in the field. New generation teacher gave some suggestions regarding the content of the questionnaire, and assured that the respondents would properly understand the questions. The experts helped to modify the questions to fit the purpose of the survey. Thus, the final form of the questionnaire was developed.
Information and Communication Technology Use
New generation teacher differences in ICT use were assessed by administering the scale for measuring computer use developed by Van Braak (2001). The scale has been adopted by former researcher (Sang et al., 2011). The subjects responded to the question “I will use information technology to complete classroom teaching, and also let students use computers to report homework.” New generation teachers responded to 8 items on the seven-point scale with (1) indicating “strongly disagree” and (7) indicating “strongly agree.” The scale has high levels of internal reliability, α = 0.779.
Job Satisfaction
We measured job satisfaction using the Tsui et al. (1992) six-item scale for employee job satisfaction. The agreement degree of new-generation teachers for these items on a seven-point scale ranges from “strongly disagree” (1) to “strongly agree” (7) (α = 0.827).
Teacher Efficacy
The twelve item scale of Tschannen-Moran and Hoy (2001) were adopted for efficacy measurement. New generation teachers’ responses were rated with this seven-point scale, in which (1) indicated “strongly disagree” and (7) indicated “strongly agree” (α = 0.876).
Error Aversion Culture
New generation teachers completed a shortened version of the Survey of Error Aversion Culture (EVC; van Dyck et al., 2005). This scale has been adapted in the Chinese context (Du et al., 2015); we used the adapted scale. New generation teachers expressed their agreement degree with the items through this seven-point scale with (1) indicating “strongly disagree” and (7) indicating “strongly agree” (α = 0.906).
Control Variables
We controlled several variables which may influence new generation teachers’ job satisfaction. Gender (1, “male”; 0, “female”), teaching tenure (5 grade, ranging from below 3 to more than 15 years), education level (3 grade, ranging from junior college to master) and new generation employee work value (Hou et al., 2014).
Scale Validation
We used the Harman single factor test common method bias. Under the condition of no rotation, the variation explained by the first factor was 27.528%, below the critical value of 40%, meaning the absence of severe common method bias in the current research. In order to investigate the discriminating effects of ICT use, job satisfaction, teacher efficacy and error aversion culture in this manuscript, we performed confirmatory factor analysis. As shown in Table 2, the four-factor model was obviously superior to other alternative models, χ2/DF = 1.622, CIF = 0.904, TFI = 0.897, RMSEA = 0.052, indicating that these four constructs have good discriminative validity.
Table 2. Comparison of the goodness-of-fit indices of alternative models.
Results
Means, SD, and Correlations Among Study Variables
The mean, standard deviation and correlation coefficient of variables is shown in Table 3. ICT use (r = 0.538, P < 0.001), teachers’ efficacy (r = 0.673, P < 0.001) are positively correlated with job satisfaction, error aversion culture is in a negative correlation with job satisfaction (r = −0.210, P < 0.01) and ICT use (r = −0.190, P < 0.01). The above results are consistent with the assumptions.
Table 3. Mean, standard deviation, and correlation coefficient of all variables.
Hypotheses Test
Hierarchical regression analyses were used to verify all hypotheses, and Baron and Kenny’s three-step method was adopted for testing the mediating effect of teachers’ efficacy. Table 4 presents the results. First, the effect of ICT use on job satisfaction was tested (H1). By controlling for the effect of gender, teaching tenure, education level and work values, ICT use was included in the regression equation (see Table 4 model 2), and the variance interpretation is significantly increased (ΔR2 = 0.08). ICT use was positively related to job satisfaction (β = 0.338, t = 5.481, P < 0.001); H1 was validated. The mediating effect of teachers’ efficacy was also investigated (H2). Second, it examined the relationship between ICT use and teachers’ efficacy. It can be seen from Model 5 in Table 4 that ICT use has a positive impact on teachers’ efficacy (β = 0.211, t = 5.219, P < 0.001). Third, teacher efficacy was incorporated into the regression equation (model 3). The results showed that teachers’ efficacy was in a significantly positive correlation with job satisfaction (β = 0.619, t = 6.676, P < 0.001). The regression coefficient of ICT use and job satisfaction decreased from 0.338 to 0.208 (t = 3.473, P < 0.01), indicating that teacher efficacy partially mediated the positive correlation between ICT use and job satisfaction; H2 was validated. Additionally, variance inflation factor (VIF) was adopted for further testing the multicollinearity of variables. VIF values for all variables in the regression equation were less than 5, indicating that there was no multicollinearity between the variables.
Table 4. Results of regression analysis.
Moderating Effect Test
In Model 6 of Table 4, teachers’ efficacy was taken as the dependent variable, and control variables, error aversion culture, ICT use and their interaction terms were added. The interaction coefficient was significant (β = −0.062, P < 0.05), meaning that the improvement of error aversion culture can decrease the positive effect of ICT use on teachers’ efficacy. Figure 2 constructs the relationship between ICT use and teacher efficacy under different levels of error aversion culture. According to the results of simple slope analysis, ICT use generated more positive effect on teachers’ efficacy in the case of low error aversion culture compare to high error aversion culture.
Figure 2. Moderating effect of error aversion culture.
Discussion
Research Conclusion
The objective of this study was to understand the effect, mechanism and boundary condition of ICT use on new generation teacher work outcomes. Drawn upon the person-job fit theory, we proposed an ICT use framework to examine the interrelationship between new generation teachers, technology, school, and explore the influence of ICT use on efficacy and job satisfaction. Further, we investigated the moderating effect of error aversion culture on ICT use and efficacy. Through a cross-section survey study with 234 new generation teachers in China we found that ICT use had a positive effect on job satisfaction. Teacher efficacy is the mediator between ICT use and job satisfaction, and error aversion culture decreased the positive relationship between ICT use on teacher efficacy.
Theoretical Contribution
This study found that job satisfaction is one of the desired outcomes of ICT utilization and new generation teachers’ fit. By exploring the mechanism and boundary conditions of how ICT use influence work outcome, this study makes several contributions to the literature on ICT effect.
Our research complements extant research focusing on the association between ICT use and job satisfaction by introducing person-job fit theory. Our findings facilitate an understanding of the complex mechanism underlying the relationship between ICT use and job satisfaction. The mediating effects of teacher efficacy were empirically examined. Previous studies have investigated the mediating effects of burnout. However, based on the person-job fit theory, individual characteristics and its fit with job have been greatly ignored. Unlike prior studies considering the perspective of technostress and job characteristics (Tarafdar et al., 2010, 2014; Venkatesh et al., 2010; Srivastava et al., 2015; Ninaus et al., 2021), the person-job fit theory incorporated the interaction between ICT and new generation teachers. Findings of this study indicating that ICT use increase new generation teachers’ job satisfaction, Venkatesh et al. (2010) claimed that employees have difficulties in adapting to ICT use and therefore, their job satisfaction decreases. Teacher efficacy plays a partial mediating role in ICT use and job satisfaction, this result is consistent with previous researches that person-job fit increases individual self-efficacy, thereby enhancing job satisfaction.
Further, this study extends existing ICT use literature by focusing on organizational culture context. Prior studies have argued that culture influences person-environment fit (Chuang et al., 2015). Few studies have explored how organizational culture influences the fit of individuals and ICT on individual outcomes; and the underline mechanism remains unclear. Our study proposes that ICT use by new generation teachers is a trial and error process. Different from extant studies which mainly focused on the school infrastructure and leadership (Andersen, 2016; Gil-Flores et al., 2017); we empirically examined the roles of error averse culture in changing teachers ICT use efficacy. In doing so, this study complements the understanding of mechanisms about organizational culture on ICT use.
Limitations and Future Research Prospects
This study has some limitations. First, although we conducted analyses to check for common method bias, longitudinal research design or multiple responder data collection could eliminate possible bias. Second, we collected data from the new generation teachers of primary and second schools in Guangxi province of China. The sampling is based on the principle of convenience, which could reduce the generalizability of our findings. In future studies, data should be collected from diverse regions to investigate the effect of ICT use by new generation teachers. Future studies could focus on other generation teachers’ ICT use as well. Third, although psychological emotions play a potential role in ICT use, we did not examine the relationship between ICT use and psychological emotions. Future studies could investigate the effect of ICT use on teachers’ psychological emotions to enrich ICT use research.
Data Availability Statement
The original contributions presented in this study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Author Contributions
PX designed the study, performed the research, analyzed data, and wrote the initial draft of the manuscript. YJ contributed to refining the ideas, carrying out additional analyses, and finalizing the manuscript. Both authors contributed to the article and approved the submitted version.
Funding
This research was supported by Basic Ability Improvement Project of Young and middle-aged Teachers in Guangxi Zhuang Autonomous Region, No. 2021KY0780.
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
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References
Alegre, I., Mas-Machuca, M., and Berbegal-Mirabent, J. (2016). Antecedents of employee job satisfaction: do they matter? J. Bus. Res. 69, 1390–1395. doi: 10.1016/j.jbusres.2015.10.113
Andersen, T. K. (2016). Beyond acceptance and resistance: a socio-technical approach to the exploration of intergroup differences in ICT use and non-use at work. Syst. Pract. Action Res. 29, 183–213. doi: 10.1007/s11213-015-9360-5
Berg-Beckhoff, G., Nielsen, G., and Ladekjær Larsen, E. (2017). Use of information communication technology and stress, burnout, and mental health in older, middle-aged, and younger workers – results from a systematic review. Int. J. Occup. Environ. Health 23, 160–171. doi: 10.1080/10773525.2018.1436015
Borges, N. J., Manuel, R. S., Elam, C. L., and Jones, B. J. (2010). Differences in motives between millennial and generation x medical students. Med. Educ. 44, 570–576. doi: 10.1111/j.1365-2923.2010.03633.x
Chuang, A., Hsu, R. S., Wang, A., and Judge, T. A. (2015). Does west “fit” with east? In search of a Chinese model of person-environment fit. Acad. Manag. J. 58, 480–510. doi: 10.5465/amj.2012.1076
Cousins, K., and Robey, D. (2015). Managing work-life boundaries with mobile technologies. Inf. Technol. People 28, 34–71. doi: 10.1108/ITP-08-2013-0155
Du, P. C., Li, M., Ni, Q., and Wu, T. (2015). Investigating the effect of error aversion culture on employees’ innovative behavior. Chin. J. Manag. 12, 538–545.
Edwards, J., and Billsberry, J. (2010). Testing a multidimensional theory of person-environment fit. J. Manag. 4, 476–493.
Edwards, J. R., and Cooper, C. L. (1990). The person-environment fit approach to stress: recurring problems and some suggested solutions. J. Organ. Behav. 11, 293–307. doi: 10.1002/job.4030110405
García, G. A., Gonzales-Miranda, D. R., Gallo, O., and Roman-Calderon, J. P. (2019). Employee involvement and job satisfaction: a tale of the millennial generation. Empl. Relat. 41, 374–388. doi: 10.1108/ER-04-2018-0100
Gil-Flores, J., Rodríguez-Santero, J., and Torres-Gordillo, J. (2017). Factors that explain the use of ICT in secondary-education classrooms: the role of teacher characteristics and school infrastructure. Comput. Hum. Behav. 68, 441–449. doi: 10.1016/j.chb.2016.11.057
Golden, T. (2007). Co-workers who telework and the impact on those in the office: understanding the implications of virtual work for co-worker satisfaction and turnover intentions. Hum. Relat. 60, 1641–1667. doi: 10.1177/0018726707084303
Golden, T. D. (2006). Avoiding depletion in virtual work:telework and the intervening impact of work exhaustion on commitment and turnover intentions. J. Vocat. Behav. 69, 176–187. doi: 10.1016/j.jvb.2006.02.003
Guchait, P., Paşamehmetoğlu, A., and Madera, J. (2016). Error management culture: impact on cohesion, stress, and turnover intentions. Serv. Ind. J. 36, 124–141. doi: 10.1080/02642069.2016.1158253
Gursoy, D., Maier, T. A., and Chi, C. G. (2008). Generational differences: an examination of work values and generational gaps in the hospitality workforce. Int. J. Hosp. Manag. 27, 448–458. doi: 10.1016/j.ijhm.2007.11.002
Guskey, T. R. (1988). Teacher efficacy, self-concept, and attitudes toward the implementation of instructional innovation. Teach. Teach. Educ. 4, 63–69. doi: 10.1016/0742-051X(88)90025-X
Hou, X. F., Li, Y. P., and Tu, Y. D. (2014). Work values of Chinese millennial generation: structure, measurement and effects on employee performance. Acta Psychol. Sin. 06, 823–840.
Jansen, K. J., and Kristof-Brown, A. (2006). Toward a multidimensional theory of person-environment fit. J. Manag. 2, 193–212.
Judge, T. A., Heller, D., and Mount, M. K. (2002). Five-factor model of personality and job satisfaction: a meta-analysis. J. Appl. Psychol. 87, 530–541. doi: 10.1037/0021-9010.87.3.530
Kehrli, S., and Sopp, T. (2006). Managing generation Y: stop resisting and start embracing the challenges generation Y brings to the workplace. HR Mag. 51, 113–119.
Kellogg, K. C., Valentine, M. A., and Christin, A. (2020). Algorithms at work: the new contested terrain of control. Acad. Manag. Ann. 14, 366–410. doi: 10.5465/annals.2018.0174
Kim, H., Knight, D. K., and Crutsinger, C. (2009). Generation Y employees’ retail work experience: the mediating effect of job characteristics. J. Bus. Res. 62, 548–556. doi: 10.1016/j.jbusres.2008.06.014
Klassen, R. M., and Chiu, M. M. (2010). Effects on teachers’ self-efficacy and job satisfaction: teacher gender, years of experience, and job stress. J. Educ. Psychol. 102, 741–756. doi: 10.1037/a0019237
Kristof-Brown, A. L., Zimmerman, R. D., and Johnson, E. C. (2005). Consequences of Individuals’ fit at work: a meta-analysis of person-job, person-organization, person-group, and person-supervisor fit. Pers. Psychol. 58, 281–342. doi: 10.1111/j.1744-6570.2005.00672.x
Locke, E. (1976). “The nature and causes of job satisfaction,” in Handbook of Industrial and Organizational Psychology, ed. M. D. Dunette (Chicago: Rand McNally), 1297–1349.
Maslach, C., Schaufeli, W. B., and Leiter, M. P. (2001). Job burnout. Annu. Rev. Psychol. 52, 397–422. doi: 10.1146/annurev.psych.52.1.397
Ninaus, K., Diehl, S., and Terlutter, R. (2021). Employee perceptions of information and communication technologies in work life, perceived burnout, job satisfaction and the role of work-family balance. J. Bus. Res. 136, 652–666. doi: 10.1016/j.jbusres.2021.08.007
Oldham, G. R. (1976). Job characteristics and internal motivation: the moderating effect of interpersonal and individual variables. Hum. Relat. 29, 559–569. doi: 10.1177/001872677602900605
Paraskeva, F., Bouta, H., and Papagianni, A. (2008). Individual characteristics and computer self-efficacy in secondary education teachers to integrate technology in educational practice. Comput. Educ. 50, 1084–1091. doi: 10.1016/j.compedu.2006.10.006
Pelgrum, W. J. (2001). Obstacles to the integration of ICT in education: results from a worldwide educational assessment. Comput. Educ. 37, 163–178. doi: 10.1016/S0360-1315(01)00045-8
Peng, Y., and Mao, C. (2015). The impact of person-job fit on job satisfaction: the mediator role of self efficacy. Soc. Indic. Res. 121, 805–813. doi: 10.1007/s11205-014-0659-x
Sang, G., Valcke, M., Van Braak, J., Tondeur, J., and Zhu, C. (2011). Predicting ICT integration into classroom teaching in Chinese primary schools: exploring the complex interplay of teacher-related variables. J. Comput. Assist. Learn. 27, 160–172. doi: 10.1111/j.1365-2729.2010.00383.x
Shim, H. R., and Kim, B. G. (2020). The effect of customer value on user satisfaction with dialogue characteristics of Apple’s intelligent agent Siri. J. Organ. End User Comput. 32, 62–74. doi: 10.4018/JOEUC.2020010104
So, H., Choi, H., Lim, W. Y., and Xiong, Y. (2012). Little experience with ICT: are they really the net generation student-teachers? Comput. Educ. 59, 1234–1245. doi: 10.1016/j.compedu.2012.05.008
Spagnoli, P., Caetano, A., and Santos, S. C. (2012). Satisfaction with job aspects: do patterns change over time? J. Bus. Res. 65, 609–616. doi: 10.1016/j.jbusres.2011.02.048
Srivastava, S. C., Chandra, S., and Shirish, A. (2015). Technostress creators and job outcomes: theorising the moderating influence of personality traits. Inf. Syst. J. 25, 355–401. doi: 10.1111/isj.12067
Tarafdar, M., Bolman Pullins, E., and Ragu-Nathan, T. S. (2014). Examining impacts of technostress on the professional salesperson’s behavioural performance. J. Pers. Sell Sales Manag. 34, 51–69. doi: 10.1080/08853134.2013.870184
Tarafdar, M., Tu, Q., and Ragu-Nathan, T. S. (2010). Impact of technostress on end-user satisfaction and performance. J. Manag. Inform. Syst. 27, 303–334. doi: 10.2753/MIS0742-1222270311
Tims, M., Derks, D., and Bakker, A. B. (2016). Job crafting and its relationships with person-job fit and meaningfulness: a three-wave study. J. Vocat. Behav. 92, 44–53. doi: 10.1016/j.jvb.2015.11.007
Torres, C. C. (2021). Adaptation and validation of technostress creators and technostress inhibitors inventories in a Spanish-speaking Latin American country. Technol. Soc. 66:101660. doi: 10.1016/j.techsoc.2021.101660
Tsai, M., and Huang, C. (2008). The relationship among ethical climate types, facets of job satisfaction, and the three components of organizational commitment: a study of nurses in Taiwan. J. Bus. Ethics. 80, 565–581. doi: 10.1007/s10551-007-9455-8
Tschannen-Moran, M., and Hoy, A. W. (2001). Teacher efficacy: capturing an elusive construct. Teach. Teach. Educ. 17, 783–805. doi: 10.1016/S0742-051X(01)00036-1
Tsui, A. S., Egan, T. D., and Iii, C. A. O. (1992). Being different: relational demography and organizational attachment. Admin. Sci. Q. 37, 549–579. doi: 10.2307/2393472
Van Braak, J. (2001). Individual characteristics influencing teachers’ class use of computers. J. Educ. Comput. Res. 25, 141–157. doi: 10.2190/81YV-CGMU-5HPM-04EG
van Dyck, C., Frese, M., Baer, M., and Sonnentag, S. (2005). Organizational error management culture and its impact on performance: a two-study replication. J. Appl. Psychol. 90, 1228–1240. doi: 10.1037/0021-9010.90.6.1228
Van Vianen, A. E. M. (2018). Person-environment fit: a review of its basic tenets. Annu. Rev. Organ. Psychol. Organ. Behav. 5, 75–101. doi: 10.1146/annurev-orgpsych-032117-104702
Venkatesh, V., Bala, H., and Sykes, T. A. (2010). Impacts of information and communication technology implementations on employees’ jobs in service organizations in India: a multi-method longitudinal field study. Prod. Oper. Manag. 19, 591–613. doi: 10.1111/j.1937-5956.2010.01148.x
Verkijika, S. F. (2020). Assessing the role of simplicity in the continuous use of mobile apps. J. Organ. End User Comput. 32, 26–42. doi: 10.4018/JOEUC.2020100102
Wang, W., Wang, Y., Zhang, Y., and Ma, J. (2020). Spillover of workplace IT satisfaction onto job satisfaction: the roles of job fit and professional fit. Int. J. Inf. Manag. 50, 341–352. doi: 10.1016/j.ijinfomgt.2019.08.011
Yu, K. Y. (2009). Affective influences in person-environment fit theory: exploring the role of affect as both cause and outcome of P-E fit. J. Appl. Psychol. 94, 1210–1226. doi: 10.1037/a0016403
Keywords: new generation teachers, job satisfaction and psychological emotion, information and communication technology, efficacy, error aversion culture
Citation: Xu P and Jiang Y (2022) Information and Communication Technology Use on New Generation Teachers’ Job Satisfaction and Psychological Emotion. Front. Psychol. 13:941218. doi: 10.3389/fpsyg.2022.941218
Received: 11 May 2022; Accepted: 01 June 2022;
Published: 21 June 2022.
Edited by:
Sang-Bing Tsai, Wuyi University, ChinaReviewed by:
Lei Li, Guilin University of Technology, ChinaEdison Estigoy, Xi’an University of Technology, China
Haokai Chen, Changsha University of Science and Technology, China
Copyright © 2022 Xu and Jiang. 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: Ying Jiang, 2002020@guat.edu.cn