George Lăzăroiu
Octav Neguriţă2
Iulia Grecu- 1Faculty of Social and Human Sciences, Spiru Haret University, Bucharest, Romania
- 2Department of Economic Sciences, Spiru Haret University, Bucharest, Romania
This study enhances the existing literature on the role of trust and online perceived risk in shaping consumer purchase decision-making in social commerce. The aim of this article is to investigate consumers’ purchase decision-making process, the determinant components of social commerce purchase intentions and attitudes, the effect of perceived risk on intention to go shopping in online settings, and consumer trust and buying behavior on online retailing platforms. The insights obtained from our research extend current knowledge as regards determinants of consumer attitudes and intentions toward online purchases, consumers’ perceived shopping risk and repurchase behavior when buying products online, and perceived consumer online trust and purchase decisions. Limited research has considered consumers’ decision-making processes on social commerce platforms by investigating how their perceptual attitudes, behavioral intentions, and immediate gratifications affect the purchase of products and services online. Our study addresses this gap and extends prior research by focusing on the relationship between online consumer purchase intention, social commerce adoption behavior, and consumers’ trust together with risk factors affecting online buying decisions, in light of the characteristics of source credibility. Our findings point toward important avenues of research on psychological determinants of consumer engagement in social media, decision mechanisms lying behind evaluation of prices, the types of perceived risk incurred, and online repurchasing behavior and intention on social commerce platforms. Subsequent directions should clarify whether adoption of mobile payment services may shape online consumers’ impulsive buying behavior and decision-making, especially under the influence of online product reviews.
Introduction
Our study cumulates evidence that consumers’ decision-making process is a dynamic performance (Hollowell et al., 2019; Popescu and Ciurlău, 2019; Westbrook et al., 2019), but that the determinants of social commerce intention and online consumer choice behavior (Kovacova et al., 2019; Tuyls and Pera, 2019) can be clarified. We focus on how the antecedents of trust in social commerce can be predicted, developing on the role of social experience and information accuracy on consumer purchase decision.
Using exclusively empirical sources published recently (2017–2019) in Web of Science- and Scopus-indexed journals, our paper fills the gap in the literature by elucidating consumers’ evaluation, commitment, and choice throughout online decision-making, insisting on their cognitive processing behaviors and on how expectations shape their pre-purchase and post-purchase satisfaction.
The Trust Building Mechanisms in Social Commerce
Guo et al. (2018) explain that the trust and perceived risk of retailing participants are pivotal grounds for the ascendancy of social commerce. Hall et al. (2017) hold that social media can be employed to integrate consistent views of consumers into the decision-making process. Abed (2018) insists that social influence and trust represent relevant components altering behavioral intention toward social commerce. Jeon et al. (2017) emphasize that utilitarian value and online trust thoroughly further the connection between perceived website interactivity and repurchase intention. Hansen et al. (2018) say that perceived risk and trust are decisive antecedents in end user decision-making, while risk-taking propensity influences behavioral intention directly. Moody et al. (2017) stress that trust and lack of confidence act on online relationships entailing electronic dealings. Ozturk et al. (2017) indicate that trust and perceived risk are related to loyalty. Fu et al. (2018) put it that both external and internal similarity considerably shapes consumers’ perceived usefulness, satisfaction, and trust transfer, which subsequently affect their shopping behaviors. Xu-Priour et al. (2017) report that trust and social interaction are favorably associated with online purchase intention. Pratono (2018) claims that trust in social commerce enables Internet retailers to achieve pricing and selling capabilities, which generates positive consequences on their performance. The adoption of social media in the management process does not influence the intensifying firm performance, unless the companies have confidence in social networks.
Pantano and Gandini (2017) argue that the retail environment is typified by a growing adoption of cutting-edge and interactive technologies contingent on advanced connectivity and pervasive and contactless systems that improve and reinforce consumer shopping practices. Digitally mediated in-store operation chiefly provides feedback on a demand for guidance and trust, and the types of sociality brought into play around it are intrinsically impermanent, low-intensity and publicity-led ways of joint action. Oliveira et al. (2017) remark that with the purpose of maximizing the entire trust of the end users in their business, Internet retailers should comprehend the way consumers perceive integrity, competence, and kindness. Perceived integrity happens when the end user comes to the conclusion that the Internet retailer is morally correct and behaves in good faith, without overcharging throughout sales transactions and sticks to his/her responsibilities, and is authentic. Perceived competence is attained when the end user thinks that the Internet retailer can manage sales transactions, being an expert in trade processes. Perceived kindness is when the end user regards as true that the Internet retailer proceeds in consumers’ best interest, and, if required, would endeavor to assist exemplarily. Kim and Peterson (2017) report that online trust is instrumental in consolidating confidence-related outcomes in social commerce. Ability, honesty, kindness, dependability, and predictability constitute important components of online trust. Molinillo et al. (2017) reveal that the affective and cognitive shopping practices favorably impact the level of contentment, the former also having a positive effect on trust. Consumer contentment with Internet retailers may be raised by both the hedonic and utilitarian values of social commerce. Mou et al. (2017) claim that perceived usefulness and trust are relevant at both the preliminary and subsequent phases in the end-user adoption of online services. Consumers’ concrete usage practices alter perceptions of convenience and shape the validation of their initial requirements.
Wongkitrungrueng and Assarut (2018) explain that symbolic value has a direct and indirect impact through trust in Internet retailers on consumer engagement. Utilitarian and hedonic values shape consumer engagement indirectly through end-user trust in products and in Internet retailers successively. Cui et al. (2018) hold that significant perceived security reinforces the assessment of website image and trust, end users having a relevant degree of creativity are likely to have confidence in websites, website image has a facilitating impact on perceived security and trust, while the latter is a link between website image and online loyalty. Yahia et al. (2018) stress that reputation and price advantage determine trust, but their implications are moderated by habits. Social dealings with the social commerce retailer and product differentiation diminish trust. Perceived ease of adoption of the platform, expediting conditions, hedonic reasons, and habits consolidate social commerce intent. Mou and Shin (2018) clarify that end users’ trust and perceived product quality and value affects social popularity. Time scarcity is decisive for perceived product quality and value, determining online consumers’ fixation attention. Lien et al. (2017) suggest that Internet retailers’ anxious attachment is adversely related to their trust in social commerce platforms. Relational embeddedness favorably impacts trust of Internet retailers in social commerce platforms.
Choi and Lee (2017) emphasize that user-generated content impacts consumers’ cognitive trust more than does marketer-generated content, and the implication of online product reviews in closed social network services on consumers’ cognitive and emotional trust is more significant than the implication in open social network services. The synergy between content generator types and social network service types influences consumers’ emotional trust. López-Miguens and Vázquez (2017) maintain that in social commerce, contentment, trust, and switching boundaries impact loyalty directly. Trust generates loyalty with contentment as a go-between. Website quality leads to loyalty facilitated by contentment and/or trust. As Cherrett et al. (2017) put it, online purchase behavior is facilitated in diverse regards by the lack of direct contact, displaying several important transaction issues associated with trust, responsibility for and cost of delivery, and swiftness. Fazal-e-Hasan et al. (2018) observe that objective attainment positively facilitates the link between expectation, end user contentment and trust, without influencing the impact of expectation on consumer affective commitment. Wu W. Y. et al. (2017) state that aesthetic appeal, personalization, functionality, and financial security shape consumer attitudes and trust in relation to a website. Increasing the top-of-mind awareness for online vendors’ brands may improve trust in their website. On Rubio et al. (2017)’s account, end users’ loyalty and trust constitute paramount characteristics for online vendors, as social commerce boosts competition and diminishes cost of change for consumers, making hard to retain the latter. Contentment with price levels, commitment to the store brands, and the perceived representation of the assortment constitute critical features of retail commitment and trust. Liu et al. (2018) note that end user-to-end user trust and end user -to-marketer trust favorably determine consumer engagement, which in turn has an impact on brand trust. The device usage facilitates the effect of consumer engagement on brand trust.
Consumer Purchase Intention in Social Commerce
Mou et al. (2017) posit that end-user trust beliefs constitute a significant driver of e-service adoption. Chong et al. (2018) stress that consumers’ perceived effectiveness of institutional mechanisms detrimentally moderates online trust in retailers and repurchase intentions. Rahman et al. (2018) affirm that more than hedonic values, confidence, and privacy issues, utilitarian values favorably impacts buyers’ attitudes to online shopping. Yang et al. (2017) put it that mobility, trust in the service supplier, and security/privacy risk have an effect on the embracement of social commerce. Walsh et al. (2017) emphasize that an online vendor’s positive reputation may diminish end user’s risk and bring about trust, which subsequently fosters consumer commitment. Zhang et al. (2018) explain that consumers’ empowerment determines their perceived trust and contentment as regards their shopping practices, and their buying intention. Bahbouhi and Moussa (2017) insist that online exchanges frequently take place between unknown people who cannot count on previous behavior or the eventuality of subsequent interactions to lay the foundations of mutual trust. Hajli et al. (2017a) remark that consumers’ loyalty with regard to a brand improves as trust, commitment, and contentment level increase.
Xu-Priour et al. (2017) claim that polychronic orientation of consumers is likely to be positively associated with trust, social teamwork, browsing practice, and external locus of control, and incidentally to intention to purchase online via such consumer features. Oliveira et al. (2017) assert that the sources of consumer trust determine aspects such as expertise, integrity and kindness of the Internet retailer, that all determine the entire trust of an end user, inevitably affecting their online buying intention. Bashir et al. (2018) say that perceived financial risk of end users determines their online trust in web retailers and purchase intention. Consumers’ online purchase intention is affected by their degree of trust in Internet retailers. The consumers’ degree of trust ultimately determines their intent level in relation to searching and purchasing products from online stores, while speaking favorably of them to other end users. Mou and Cohen (2017) affirm that trust in the Internet retailer’s website acts on confidence in the online service supplier at both preliminary and subsequent phases. Interpretations of system and information quality are determined by trust, that, together with contentment, is relevant to continued usage intentions. Cao et al. (2018) notice that the trust transfer process favorably impacts the continuance intention of social commerce through contentment. Confidence in and perceived entitativity between online and mobile payments, together with perceived comparability, may positively shape trust in social commerce.
Zhang and Curley (2018) observe that explanation mode and availability, in addition to perceived personalization, impact consumers’ trust beliefs considerably in an online recommender agent and commitment to embrace its suggestions. Consequences of both the availability and mode of explanations on end users’ trust beliefs are facilitated by their perceived personalization of the online recommender agent that subsequently mediates the implications on use intention. Escobar-Rodríguez and Bonsón-Fernández (2017) put it that perceived value, trust, and creativity represent the essential components shaping online purchase intention, whereas time saving and perceived security constitute the chief antecedents determining perceived value and trust. Qin (2017) states that, as regards consumers’ intention to adopt social commerce, trust represents a construct of aspects of expertise, integrity, and kindness. Awareness and shared value constitute antecedents to trust aspects affecting them considerably. Culture significantly impacts consumers’ values, whereas trust is determined by cultural features. Liu and Guo (2017) find that universal access and awareness are unsuccessful in shaping trust directly but can impact purchase intention through social benefit. Reputation can have an effect on trust and social benefit immediately in social commerce markets. Bianchi et al. (2017) show that trust may generate positive attitudes in relation to social commerce as regards contentment, which subsequently can shape the intention to participate in online purchase behavior.
Vohra and Bhardwaj (2019) point out that trust to a certain extent enables the link between dynamic involvement and engagement. Shareef et al. (2018) posit that operational performance and trust may influence consumers’ purchase intention when shopping online. Sisson (2017) highlights that positivity and networking approaches have important relationships with features of trust, being useful in reestablishing integrity. On Bebber et al. (2017)’s reasoning, the constructs of data quality, lack of confidence, and perceived risk are antecedents of online purchase intention. As Robinson (2017) puts it, marketers may determine consumers’ decision making process on the perpetual shopping, by providing upsides, improving trust, and decreasing the perceived risks. Gibreel et al. (2018) write that familiarity and trust are a factor in facilitating exchange between vendors and end users and its favorable consequences in purchasers’ perceived convenience of social commerce platforms. Pappas (2018) reasons that trust in relation to online retailers, privacy, emotional states, and experience fuse to predict shoppers’ purchase intentions. On Pee et al. (2018)’s view, website usability functions as a lasting effect signal, determining the initial buying and repurchase intention. Malhotra et al. (2017) contend that perceived structural assurance operates as a trust-building mechanism for diminishing the adverse outcomes of psychological contract violation among online consumers.
Effects of Perceived Risk on Purchase Intention in Social Commerce
On Wu J. et al. (2017)’s reading, trust is the essential component of consumer purchase intention when buying things on peer-to-peer temporary rental platforms where both hosts and renters do not know each other. Xie et al. (2017) state that trust has a beneficial impact on social norms, but that perceived risk adversely affects perceived behavior control. Li (2019) reveals that social presence, closeness, and informational reinforcement (but not emotional support or familiarity) exert intention over trust in product testimonials. On Sharma et al. (2019)’s account, online trust in companies seriously affects consumers’ trust and essentially their intention to participate in social commerce. Izogo and Jayawardhena (2018) show that moral correctness, dependability, and excellent reputation strengthen online shopping trust. Chen et al. (2017) point out that retailers can establish relational capital with purchasers by improving mutual trust, cooperation, and appreciation with them. Bleier et al. (2019) find that a manufactured item’s type and brand reliability influence the effect of each experience aspect on end users’ purchase decisions. Sullivan and Kim (2018) indicate that perceived value affects the experiences of online trust among purchasers and their commitment to buy again from the same website.
Sullivan and Kim (2018) demonstrate that trust, social commerce adoption, and product evaluation factors are essential in shaping repurchase intention: perceived quality is determined by the grasps of competitive price and website reputation, which subsequently have an effect on perceived value, that, together with website reputation and perceived risk, shape online trust, which acts upon repurchase intention. The impact of perceived convenience on repurchase intention is not relevant. Perceived value and online trust represent the main drivers of repurchase intention. Bashir et al. (2018) write that a mediating function of online trust operates in web retailers in the link between perceived financial risk and purchase intention. The perceived financial risk of online end users determines their trust in Internet retailers. Consumers’ intention to go shopping online is affected by their confidence in the web retailer. Trust in the Internet retailer represents confidence of a consumer in an Internet retailer’s ability, product-related knowledge, performance, marketing sufficiency, integrity, and payment procedures. On Choi et al. (2018)’s view, handling shopping risk constitutes a necessary condition to establishing business success in shopping destinations, because risk tends to shape perceived value and the selection of subsequent shopping destinations. Improving trust is important in preventing or decreasing perceived purchasing risk. Increased trust is likely to diminish shopping risk and eventually advance the view of a shopping destination as well-founded. On Martin (2018)’s reading, as information misuse represents a distinctly noticeable type of risk online, complying with privacy is frequently firmly associated with trust in end-user surveys. Breaches in privacy expectations cut down consumers’ trust in an Internet retailer, making difficult for the latter to rebuild confidence in its services and products. Han and Kim (2017) indicate that product and social/psychological risks are adversely related to end users’ trust and purchase intention, notwithstanding their level of product involvement, while financial risk is positively associated with trust and purchase intention.
Oliveira et al. (2017) show that trust is instrumental in influencing consumer purchase intentions: the entire trust that an end user has on an Internet retailer is determined by the reliability of the vendors, i.e., whether they are dependable and consumers have confidence in them, this relevantly impacting their online purchase intention. Consumers having notable overall trust display a considerable intention to go shopping online. Hajli et al. (2017b) posit that trust constitutes a critical concern in online shopping settings and in social commerce platforms because of the prominent function of peer-generated contents. Trust, awareness, social presence, and online shopping information seeking determine behavioral attitudes on social commerce platforms. Trust in an Internet retailer reinforces information seeking which subsequently boosts awareness of the platform and the perception of social presence, while awareness and social presence optimize buying intentions. Liu et al. (2017) contend that trust in social commerce websites consolidates purchase intention directly and strengthens the positive link between website appeal and purchase intention, simultaneously decreasing the positive link between product appeal and purchase intention. Akman and Mishra (2017) affirm that consumer intention is considerably and positively associated with perceived trust, social pressure, contentment, and cognizance in social commerce adoption. Hsu et al. (2018) point out due to the development of social media applications, online shopping is increasing noticeably in social commerce. Supplying outstanding quality website experience is essential to assist online consumers. The perceived system and service quality constitute relevant antecedents of consumer contentment that appreciably regulates trust, commitment, and purchase intention. Trust considerably influences commitment and both of them to a limited extent facilitate the link between contentment and purchase intention in social commerce setting.
Conclusion
The empirical evidence we reviewed supports the belief that social platform users’ purchase intentions can be constituted taking into account the relationship between online trust and perceived risk. Limited research has considered consumers’ decision-making processes on social commerce platforms by investigating how their perceptual attitudes, behavioral intentions, and immediate gratifications affect the purchase of products and services online.
Our study addresses this gap and extends prior research by focusing on the relationship between online consumer purchase intention, social commerce adoption behavior, and consumers’ trust together with risk factors affecting online buying decisions, in light of the characteristics of source credibility. As limitations in the present article, our findings point toward important avenues of research on psychological determinants of consumer engagement in social media, decision mechanisms lying behind evaluation of prices, the types of perceived risk incurred, and online repurchasing behavior and intention on social commerce platforms. Subsequent directions should clarify whether adoption of mobile payment services may shape online consumers’ impulsive buying behavior and decision-making, especially under the influence of online product reviews.
Author Contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
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.
References
Abed, S. (2018). An empirical examination of Instagram as an s-commerce channel. J. Adv. Manag. Res. 15, 146–160. doi: 10.1108/JAMR-05-2017-0057
Akman, I., and Mishra, A. (2017). Factors influencing consumer intention in social commerce adoption. Inform. Technol. People 30, 356–370. doi: 10.1108/ITP-01-2016-0006
Bahbouhi, J. E., and Moussa, N. (2017). Prisoner’s dilemma game model for e-commerce. Appl. Math. Comput. 292, 128–144. doi: 10.1016/j.amc.2016.07.018
Bashir, S., Anwar, S., Awan, Z., Qureshi, T. W., and Memon, A. B. (2018). A holistic understanding of the prospects of financial loss to enhance shopper’s trust to search, recommend, speak positive and frequently visit an online shop. J. Retail. Consumer Serv. 42, 169–174. doi: 10.1016/j.jretconser.2018.02.004
Bebber, S., Milan, G. S., Toni, D. D., Eberle, L., and Slongo, L. A. (2017). Antecedents of purchase intention in the online context. J. Relationsh. Mark. 16, 82–98. doi: 10.1080/15332667.2016.1242396
Bianchi, C., Andrews, L., Wiese, M., and Fazal-E-Hasan, S. (2017). Consumer intentions to engage in s-commerce: a cross-national study. J. Relationsh. Mark. 33, 464–494. doi: 10.1080/0267257X.2017.1319406
Bleier, A., Harmeling, C. M., and Palmatier, R. W. (2019). Creating effective online customer experiences. J. Relationsh. Mark. 83, 98–119. doi: 10.1177/0022242918809930
Cao, X., Yu, L., Liu, Z., Gong, M., and Adeel, L. (2018). Understanding mobile payment users’ continuance intention: a trust transfer perspective. Internet Res. 28, 456–476. doi: 10.1108/IntR-11-2016-0359
Chen, X., Huang, Q., and Davison, R. M. (2017). Economic and social satisfaction of buyers on consumer-to-consumer platforms: the role of relational capital. Intern. J. Electron. Commerce 21, 219–248. doi: 10.1080/10864415.2016.1234285
Cherrett, T., Dickinson, J., McLeod, F., Sit, J., Bailey, G., and Whittle, G. (2017). Logistics impacts of student online shopping – evaluating delivery consolidation to halls of residence. Transport. Res. Part C Emerg. Technol. 78, 111–118. doi: 10.1016/j.trc.2017.02.021
Choi, B., and Lee, I. (2017). Trust in open versus closed social media: the relative influence of user- and marketer-generated content in social network services on customer trust. Telem. Inform. 34, 550–559. doi: 10.1016/j.tele.2016.11.005
Choi, M., Law, R., and Heo, C. Y. (2018). An investigation of the perceived value of shopping tourism. J. Travel Res. 57, 962–980. doi: 10.1177/0047287517726170
Chong, A. Y. L., Lacka, E., Boying, L., and Chan, H. K. (2018). The role of social media in enhancing guanxi and perceived effectiveness of e-commerce institutional mechanisms in online marketplace. Inform. Manag. 55, 621–632. doi: 10.1016/j.im.2018.01.003
Cui, F., Lin, D., and Qu, H. (2018). The impact of perceived security and consumer innovativeness on e-loyalty in online travel shopping. J. Travel Tour. Mark. 35, 819–834. doi: 10.1080/10548408.2017.1422452
Escobar-Rodríguez, T., and Bonsón-Fernández, R. (2017). Analysing online purchase intention in Spain: fashion e-commerce. Inform. Syst. Bus. Manag. 15, 599–622. doi: 10.1007/s10257-016-0319-6
Fazal-e-Hasan, S. M., Ahmadi, H., Mortimer, G., Grimmer, M., and Kelly, L. (2018). Examining the role of consumer hope in explaining the impact of perceived brand value on customer–brand relationship outcomes in an online retailing environment. J. Retail. Consumer Serv. 41, 101–111. doi: 10.1016/j.jretconser.2017.12.004
Fu, S., Yan, Q., and Feng, G. C. (2018). Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context. Intern. J. Inform. Manag. 40, 88–102. doi: 10.1016/j.ijinfomgt.2018.01.013
Gibreel, O., AlOtaibi, D. A., and Altmann, J. (2018). Social commerce development in emerging markets. Electron. Commerce Res. Appl. 27, 152–162. doi: 10.1016/j.elerap.2017.12.008
Guo, Y., Bao, Y., Stuart, B. J., and Le-Nguyen, K. (2018). To sell or not to sell: exploring sellers’ trust and risk of chargeback fraud in cross-border electronic commerce. Info. Syst. J. 28, 359–383. doi: 10.1111/isj.12144
Hajli, N., Shanmugam, M., Papagiannidis, S., Zahay, D., and Richard, M. O. (2017a). Branding co-creation with members of online brand communities. J. Bus. Res. 70, 136–144. doi: 10.1016/j.jbusres.2016.08.026
Hajli, N., Sims, J., Zadeh, A. H., and Richard, M. O. (2017b). A social commerce investigation of the role of trust in a social networking site on purchase intentions. J. Bus. Res. 71, 133–141. doi: 10.1016/j.jbusres.2016.10.004
Hall, A., Towers, N., and Shaw, D. R. (2017). Understanding how Millennial shoppers decide what to buy: digitally connected unseen journeys. Intern. J. Retail Distribut. Manag. 45, 498–517. doi: 10.1108/IJRDM-11-2016-0206
Han, M. C., and Kim, Y. (2017). Why consumers hesitate to shop online: perceived risk and product involvement on Taobao.com. J. Promot. Manag. 23, 24–44. doi: 10.1080/10496491.2016.1251530
Hansen, J. M., Saridakis, G., and Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Comput. Hum. Behav. 80, 197–206. doi: 10.1016/j.chb.2017.11.010
Hollowell, J. C., Rowland, Z., Kliestik, T., Kliestikova, J., and Dengov, V. V. (2019). Customer loyalty in the sharing economy platforms: how digital personal reputation and feedback systems facilitate interaction and trust between strangers. J. Self Govern. Manag. Econ. 7, 13–18.
Hsu, C. L., Chen, M.-C., and Kumar, V. (2018). How social shopping retains customers? Capturing the essence of website quality and relationship quality. Total Q. Manag. Bus. Excell. 29, 161–184. doi: 10.1080/14783363.2016.1171706
Izogo, E. E., and Jayawardhena, C. (2018). Online shopping experience in an emerging e-retailing market: towards a conceptual model. J. Consumer Behav. 17, 379–392. doi: 10.1002/cb.1715
Jeon, H., Jang, J., and Barrett, E. B. (2017). Linking website interactivity to consumer behavioral intention in an online travel community: the mediating role of utilitarian value and online trust. J. Q. Assurance Hosp. Tour. 18, 125–148. doi: 10.1080/1528008X.2016.1169473
Kim, Y., and Peterson, R. A. (2017). A meta-analysis of online trust relationships in e-commerce. J. Interact. Mark. 38, 44–54. doi: 10.1016/j.intmar.2017.01.001
Kovacova, M., Kliestik, T., Pera, A., Grecu, I., and Grecu, G. (2019). Big data governance of automated algorithmic Decision-making processes. Rev. Contemp. Philos. 18, 126–132. doi: 10.22381/RCP1820196
Li, C. Y. (2019). How social commerce constructs influence customers’ social shopping intention? An empirical study of a social commerce website. Technol. Forecast. Soc. Change 144, 282–294. doi: 10.1016/j.techfore.2017.11.026
Lien, C. H., Wu, J. J., Chien, S. H., and Lee, C. Y. (2017). Anxious attachment, relational embeddedness, trust, co-production, and performance: an empirical study in online business-to-business relationships. Telemat. Inform. 34, 1514–1523. doi: 10.1016/j.tele.2017.06.016
Liu, A. F., Xiao, B. S., Lim, E. T. K., and Tan, C. W. (2017). The art of appeal in electronic commerce: understanding the impact of product and website quality on online purchases. Internet Res. 27, 752–771. doi: 10.1108/IntR-09-2016-0280
Liu, D., and Guo, X. (2017). Can trust and social benefit really help? Empirical examination of purchase intentions for wearable devices. Inform. Dev. 33, 43–56. doi: 10.1177/0266666916635724
Liu, L., Lee, M. K. O., Liu, R., and Chen, J. (2018). Trust transfer in social media brand communities: the role of consumer engagement. Intern. J. Inform. Manag. 41, 1–13. doi: 10.1016/j.ijinfomgt.2018.02.006
López-Miguens, M. J., and Vázquez, E. G. (2017). An integral model of e-loyalty from the consumer’s perspective. Comput. Hum. Behav. 72, 397–411. doi: 10.1016/j.chb.2017.02.003
Malhotra, N., Sahadev, S., and Purani, K. (2017). Psychological contract violation and customer intention to reuse online retailers: exploring mediating and moderating mechanisms. J. Bus. Res. 75, 17–28. doi: 10.1016/j.jbusres.2017.01.013
Martin, K. (2018). The penalty for privacy violations: how privacy violations impact trust online. J. Bus. Res. 82, 103–116. doi: 10.1016/j.jbusres.2017.08.034
Molinillo, S., Gómez-Ortiz, B., Pérez-Aranda, J., and Navarro-García, A. (2017). Building customer loyalty: the effect of experiential state, the value of shopping, and trust and perceived value of service on online clothes shopping. Cloth. Text. Res. J. 35, 156–171. doi: 10.1177/0887302X17694270
Moody, G. D., Lowry, P. B., and Galletta, D. F. (2017). It’s complicated: explaining the relationship between trust, distrust, and ambivalence in online transaction relationships using polynomial regression analysis and response surface analysis. Eur. J. Inform. Syst. 26, 379–413. doi: 10.1057/s41303-016-0027-9
Mou, J., and Cohen, J. F. (2017). Trust and online consumer health service success: a longitudinal study. Inform. Dev. 33, 169–189. doi: 10.1177/0266666916642507
Mou, J., and Shin, D. (2018). Effects of social popularity and time scarcity on online consumer behaviour regarding smart healthcare products: an eye-tracking approach. Comput. Hum. Behav. 78, 74–89. doi: 10.1016/j.chb.2017.08.049
Mou, J., Shin, D. H., and Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation. Behav. Inform. Technol. 36, 125–139. doi: 10.1080/0144929X.2016.1203024
Oliveira, T., Alhinho, M., Rita, P., and Dhillon, G. (2017). Modelling and testing consumer trust dimensions in e-commerce. Comput. Hum. Behav. 71, 153–164. doi: 10.1016/j.chb.2017.01.050
Ozturk, A. B., Nusair, K., Okumus, F., and Singh, D. (2017). Understanding mobile hotel booking loyalty: an integration of privacy calculus theory and trust-risk framework. Inform. Syst. Front. 19, 753–767. doi: 10.1007/s10796-017-9736-4
Pantano, E., and Gandini, A. (2017). Exploring the forms of sociality mediated by innovative technologies in retail settings. Comput. Hum. Behav. 77, 367–373. doi: 10.1016/j.chb.2017.02.036
Pappas, I. O. (2018). User experience in personalized online shopping: a fuzzy-set analysis. Eur. J. Mark. 52, 1679–1703. doi: 10.1108/EJM-10-2017-0707
Pee, L. G., Jiang, J., and Klein, G. (2018). Signaling effect of website usability on repurchase intention. Intern. J. Inform. Manag. 39, 228–241. doi: 10.1016/j.ijinfomgt.2017.12.010
Popescu, G. H., and Ciurlău, F. C. (2019). Making decisions in collaborative consumption: digital trust and reputation systems in the sharing economy. J. Self Govern. Manag. Econ. 7, 7–12. doi: 10.22381/JSME7120191
Pratono, A. H. (2018). From social network to firm performance: the mediating effect of trust, selling capability and pricing capability. Manag. Res. Rev. 41, 680–700. doi: 10.1108/MRR-03-2017-0080
Qin, L. (2017). A cross-cultural study of interpersonal trust in social commerce. J. Comput. Inform. Syst. 60, 26–33. doi: 10.1080/08874417.2017.1383865
Rahman, S., Khan, M. A., and Iqbal, N. (2018). Motivations and barriers to purchasing online: understanding consumer responses. South Asian J. Bus. Stud. 7, 111–128. doi: 10.1108/SAJBS-11-2016-0088
Robinson, C. (2017). Disclosure of personal data in ecommerce: a cross-national comparison of Estonia and the United States. Telemat. Inform. 34, 569–582. doi: 10.1016/j.tele.2016.09.006
Rubio, N., Villaseţor, N., and Jesús Yagüe, M. (2017). Creation of consumer loyalty and trust in the retailer through store brands: the moderating effect of choice of store brand name. J. Retail. Consum. Serv. 34, 358–368. doi: 10.1016/j.jretconser.2016.07.014
Shareef, M. A., Dwivedi, Y. K., Kumar, V., Davies, G., Rana, N., and Baabdullah, A. (2018). Purchase intention in an electronic commerce environment: a trade-off between controlling measures and operational performance. Inform. Technol. People 32, 1345–1375. doi: 10.1108/ITP-05-2018-0241
Sharma, S., Menard, P., and Mutchler, L. A. (2019). Who to trust? Applying trust to social commerce. J. Comput. Informat. Syst. 59, 32–42. doi: 10.1080/08874417.2017.1289356
Sisson, D. C. (2017). Inauthentic communication, organization-public relationships, and trust: a content analysis of online astroturfing news coverage. Public Relat. Rev. 43, 788–795. doi: 10.1016/j.pubrev.2017.05.003
Sullivan, Y. W., and Kim, D. J. (2018). Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments. Intern. J. Inform. Manag. 39, 199–219. doi: 10.1016/j.ijinfomgt.2017.12.008
Tuyls, R., and Pera, A. (2019). Innovative data-driven smart urban ecosystems: environmental sustainability, governance networks, and the cognitive internet of things. Geopolit. Hist. Intern. Relat. 11, 116–121. doi: 10.22381/GHIR11120198
Vohra, A., and Bhardwaj, N. (2019). From active participation to engagement in online communities: analysing the mediating role of trust and commitment. J. Mark. Commun. 25, 89–114. doi: 10.1080/13527266.2017.1393768
Walsh, G., Schaarschmidt, M., and Ivens, S. (2017). Effects of customer-based corporate reputation on perceived risk and relational outcomes: empirical evidence from gender moderation in fashion retailing. J. Product Brand Manag. 26, 227–238. doi: 10.1108/JPBM-07-2016-1267
Westbrook, L., Pera, A., Negurită, O., Grecu, I., and Grecu, G. (2019). Real-time data-driven technologies: transparency and fairness of automated decision-making process governed by intricate algorithms. Contemp. Read. Law Soc. Justice 11, 45–50. doi: 10.22381/CRLSJ11120197
Wongkitrungrueng, A., and Assarut, N. (2018). The role of live streaming in building consumer trust and engagement with social commerce sellers. J. Bus. Res. doi: 10.1016/j.jbusres.2018.08.032 [Epub ahead of print].
Wu, W. Y., Quyen, P. T. P., and Rivas, A. A. A. (2017). How e-servicescapes affect customer online shopping intention: the moderating effects of gender and online purchasing experience. Inform. Syst. Bus. Manag. 15, 689–715. doi: 10.1007/s10257-016-0323-x
Wu, J., Ma, P., and Xie, K. L. (2017). In sharing economy we trust: the effects of host attributes on short-term rental purchases. Intern. J. Contemp. Hosp. Manag. 29, 2962–2976. doi: 10.1108/IJCHM-08-2016-0480
Xie, Q., Song, W., Peng, X., and Shabbir, M. (2017). Predictors for e-government adoption: integrating TAM, TPB, trust and perceived risk. Electron. Lib. 35, 2–20. doi: 10.1108/EL-08-2015-0141
Xu-Priour, D. L., Cliquet, G., and Palmer, A. (2017). The influence of buyers’ time orientation on online shopping behavior: a typology. Intern. J. Electron. Commerce 21, 299–333. doi: 10.1080/10864415.2016.1319206
Yahia, I. B., Al-Neama, N., and Kerbache, L. (2018). Investigating the drivers for social commerce in social media platforms: importance of trust, social support and the platform perceived usage. J. Retail. Consum. Serv. 41, 11–19. doi: 10.1016/j.jretconser.2017.10.021
Yang, H., Lee, H., and Zo, H. (2017). User acceptance of smart home services: an extension of the theory of planned behavior. Industr. Manag. Data Syst. 117, 68–89. doi: 10.1108/IMDS-01-2016-0017
Zhang, J., and Curley, S. P. (2018). Exploring explanation effects on consumers’ trust in online recommender agents. Intern. J. Hum. Comput. Interact. 34, 421–432. doi: 10.1080/10447318.2017.1357904
Keywords: consumer, decision-making process, social commerce platform, online trust, perceived risk, purchase intention
Citation: Lăzăroiu G, Neguriţă O, Grecu I, Grecu G and Mitran PC (2020) Consumers’ Decision-Making Process on Social Commerce Platforms: Online Trust, Perceived Risk, and Purchase Intentions. Front. Psychol. 11:890. doi: 10.3389/fpsyg.2020.00890
Received: 23 December 2019; Accepted: 09 April 2020;
Published: 15 May 2020.
Edited by:
Krishna P. Miyapuram, Indian Institute of Technology Gandhinagar, IndiaReviewed by:
Dan-Cristian Dabija, Babeş-Bolyai University, RomaniaAurel Pera, University of Craiova, Romania
Gheorghe Popescu, Bucharest Academy of Economic Studies, Romania
Maria Kovacova, University of Žilina, Slovakia
Copyright © 2020 Lăzăroiu, Neguriţă, Grecu, Grecu and Mitran. 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: George Lăzăroiu, cGhkX2xhemFyb2l1QHlhaG9vLmNvbQ==