Unraveling the Influential Mechanisms of Social Commerce Overloads on User Disengagement: The Buffer Effect of Guanxi

References

• Maier C, Laumer S, Weinert C, Weitzel T. The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use. Inform Syst J. 2015;25(3):275–308. doi:10.1111/isj.12068
   Web of Science ®Google Scholar
• Youn S, Kim S. Understanding ad avoidance on Facebook: antecedents and outcomes of psychological reactance. Comput Hum Behav. 2019;98:232–244. doi:10.1016/j.chb.2019.04.025
   Web of Science ®Google Scholar
• Maier C, Laumer S, Eckhardt A, Weitzel T. Giving too much social support: social overload on social networking sites. Eur J Inf Syst. 2015;24(5):447–464. doi:10.1057/ejis.2014.3
   Web of Science ®Google Scholar
• Pang H, Ruan Y. Determining influences of information irrelevance, information overload and communication overload on wechat discontinuance intention: the moderating role of exhaustion. J Retail Consum Serv. 2023;72:103289. doi:10.1016/j.jretconser.2023.103289
   Web of Science ®Google Scholar
• Outbrain. Research findings: people will reduce the use of social media, but making good use of native advertising will win the trust of consumers. Available from: https://www.52by.com/article/86983. Accessed May 25, 2022.
   Google Scholar
• iiMedia Research. 2019 China mobile social industry special report. Available from: https://www.iimedia.cn/c1020/66341.html. Accessed October 14, 2019.
   Google Scholar
• Mou Y, Ji F. The effect of wechat business pushing information behavior on consumers’ willingness to accept. Econ Manag. 2017;31(6):62–69.
   Google Scholar
• Lin J, Lin S, Guo J. The double-edged effects of social media overload on discontinuous usage intention. Chinese J Manag. 2019;16(4):587–594.
   Google Scholar
• Yu L, Cao X, Liu Z, Wang J. Excessive social media use at work: exploring the effects of social media overload on job performance. Inform Technol Peopl. 2018;31(6):1091–1112. doi:10.1108/ITP-10-2016-0237
   Web of Science ®Google Scholar
• Bright LF, Kleiser SB, Grau SL. Too much Facebook? An exploratory examination of social media fatigue. Comput Hum Behav. 2015;44:148–155. doi:10.1016/j.chb.2014.11.048
   Web of Science ®Google Scholar
• Zhang S, Zhao L, Lu Y, Yang J. Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Inform Manage Amster. 2016;53(7):904–914. doi:10.1016/j.im.2016.03.006
   Web of Science ®Google Scholar
• Dhir A, Yossatorn Y, Kaur P, Chen S. Online social media fatigue and psychological wellbeing—a study of compulsive use, fear of missing out, fatigue, anxiety and depression. Int J Inform Manage. 2018;40:141–152. doi:10.1016/j.ijinfomgt.2018.01.012
   Web of Science ®Google Scholar
• Cao X, Sun J. Exploring the effect of overload on the discontinuous intention of social media users: an sor perspective. Comput Hum Behav. 2018;81:10–18. doi:10.1016/j.chb.2017.11.035
   Web of Science ®Google Scholar
• Lin S, Lin J, Luo X, Liu S. Juxtaposed effect of social media overload on discontinuous usage intention: the perspective of stress coping strategies. Inform Process Manag. 2021;58(1):102419. doi:10.1016/j.ipm.2020.102419
   Web of Science ®Google Scholar
• Pang H, Ruan Y. Can information and communication overload influence smartphone app users’ social network exhaustion, privacy invasion and discontinuance intention? A cognition-affect-conation approach. J Retail Consum Serv. 2023;73:103378. doi:10.1016/j.jretconser.2023.103378
   Web of Science ®Google Scholar
• Vatavwala S, Kumar B, Sharma A, Billore A, Sadh A. Customer disengagement in business-to-business markets: a framework for analysis. Ind Market Manag. 2022;105:114–130. doi:10.1016/j.indmarman.2022.05.018
   Web of Science ®Google Scholar
• O’Brien HL, Roll I, Kampen A, Davoudi N. Rethinking (dis)engagement in human-computer interaction. Comput Hum Behav. 2022;128:107109. doi:10.1016/j.chb.2021.107109
   Web of Science ®Google Scholar
• Matthes J, Karsay K, Hirsch M, Stevic A, Schmuck D. Reflective smartphone disengagement: conceptualization, measurement, and validation. Comput Hum Behav. 2022;128:107078. doi:10.1016/j.chb.2021.107078
   Web of Science ®Google Scholar
• Tripathi S, Jain V, Pandey J, Merchant A, Ambika A. When consumers tune out advertising messages: development and validation of a scale to measure advertising disengagement. J Advert Res. 2022;62(1):3–17. doi:10.2501/JAR-2021-020
   Web of Science ®Google Scholar
• Qaisar S, Chu J, Shah Z, Hassan Z. Effects of social networking site overloads on discontinuous intentions of users: a moderated mediation analysis. Behav Inform Technol. 2022;41(16):3530–3551. doi:10.1080/0144929X.2021.2002411
   Web of Science ®Google Scholar
• Katz SJ, Byrne S, Kent AI. Mitigating the perception of threat to freedom through abstraction and distance. Commun Res. 2017;44(7):1046–1069. doi:10.1177/0093650216647534
   Web of Science ®Google Scholar
• Quick BL, Kam JA, Morgan SE, Montero Liberona CA, Smith RA. Prospect theory, discrete emotions, and freedom threats: an extension of psychological reactance theory. J Commun. 2015;65(1):40–61. doi:10.1111/jcom.12134
   Web of Science ®Google Scholar
• Zhou Y, Yu Y, Chen X, Zhou X. Guanxi or justice? An empirical study of wechat voting. J Bus Ethics. 2018;153:1–25. doi:10.1007/s10551-016-3346-9
   Google Scholar
• Davis TR, Luthans F. A social learning approach to organizational behavior. Acad Manag Rev. 1980;5(2):281–290. doi:10.2307/257438
   Google Scholar
• Stanko TL, Beckman CM. Watching you watching me: boundary control and capturing attention in the context of ubiquitous technology use. Acad Manag J. 2015;58(3):712–738. doi:10.5465/amj.2012.0911
   Web of Science ®Google Scholar
• Wang W, Chen RR, Ou CX, Ren J. Media or message, which is the king in social commerce?: an empirical study of participants’ intention to repost marketing messages on social media. Comput Hum Behav. 2019;93:176–191. doi:10.1016/j.chb.2018.12.007
   Web of Science ®Google Scholar
• Edwards JR, Cooper CL. The person‐environment fit approach to stress: recurring problems and some suggested solutions. J Organ Behav. 1990;11(4):293–307. doi:10.1002/job.4030110405
   Web of Science ®Google Scholar
• Karr-Wisniewski P, Lu Y. When more is too much: operationalizing technology overload and exploring its impact on knowledge worker productivity. Comput Hum Behav. 2010;26(5):1061–1072. doi:10.1016/j.chb.2010.03.008
   Web of Science ®Google Scholar
• Hung W-H, Chen K, Lin C-P. Does the proactive personality mitigate the adverse effect of technostress on productivity in the mobile environment? Telemat Inform. 2015;32(1):143–157. doi:10.1016/j.tele.2014.06.002
   Web of Science ®Google Scholar
• H-f H, Krishen AS. When is enough, enough? Investigating product reviews and information overload from a consumer empowerment perspective. J Bus Res. 2019;100:27–37. doi:10.1016/j.jbusres.2019.03.011
   Web of Science ®Google Scholar
• Farhoomand AF, Drury DH. Managerial information overload. Commun ACM. 2002;45(10):127–131.
   Web of Science ®Google Scholar
• Lee AR, Son S-M, Kim KK. Information and communication technology overload and social networking service fatigue: a stress perspective. Comput Hum Behav. 2016;55:51–61. doi:10.1016/j.chb.2015.08.011
   Web of Science ®Google Scholar
• Clee MA, Wicklund RA. Consumer behavior and psychological reactance. J Consum Res. 1980;6(4):389–405. doi:10.1086/208782
   Web of Science ®Google Scholar
• Brehm SS, Brehm JW. Psychological Reactance: A Theory of Freedom and Control New. York: Academic Press; 1981.
   Google Scholar
• Wang Y, Cheng Y. An analysis of online consumers’ psychology reactance and acceptance intention to proactive recommendation services: the influences of reference groups and time pressure. Manag Rev. 2013;25(2):70–78.
   Google Scholar
• Verlegh PWJ, Fransen ML, Kirmani A. Persuasion in advertising: when does it work, and when does it not? Int J Advert. 2015;34(1):3–5. doi:10.1080/02650487.2014.994732
   Web of Science ®Google Scholar
• Campbell MC. When attention-getting advertising tactics elicit consumer inferences of manipulative intent: the importance of balancing benefits and investments. J Consum Psychol. 1995;4(3):225–254. doi:10.1207/s15327663jcp0403_02
   Google Scholar
• Friestad M, Wright P. The persuasion knowledge model: how people cope with persuasion attempts. J Consum Res. 1994;21(1):1–31. doi:10.1086/209380
   Web of Science ®Google Scholar
• Kirmani A, Zhu R. Vigilant against manipulation: the effect of regulatory focus on the use of persuasion knowledge. J Market Res. 2007;44(4):688–701. doi:10.1509/jmkr.44.4.688
   Web of Science ®Google Scholar
• Trainor KJ, Andzulis JM, Rapp A, Agnihotri R. Social media technology usage and customer relationship performance: a capabilities-based examination of social CRM. J Bus Res. 2014;67(6):1201–1208. doi:10.1016/j.jbusres.2013.05.002
   Web of Science ®Google Scholar
• Quick BL, Kam JA, Morgan SE, Montero Liberona CA, Smith RA. Prospect theory, discrete emotions, and freedom threats: an extension of psychological reactance theory. J Commun. 2014;65(1):40–61.
   Web of Science ®Google Scholar
• Edwards SM, Li H, Lee JH. Forced exposure and psychological reactance: antecedents and consequences of the perceived intrusiveness of pop-up ads. J Advertising. 2002;31(3):83–95. doi:10.1080/00913367.2002.10673678
   Web of Science ®Google Scholar
• Font X, Hindley A. Understanding tourists’ reactance to the threat of a loss of freedom to travel due to climate change: a new alternative approach to encouraging nuanced behavioural change. J Sustain Tour. 2017;25(1):26–42. doi:10.1080/09669582.2016.1165235
   Web of Science ®Google Scholar
• Kavvouris C, Chrysochou P, Thøgersen J. “Be careful what you say”: the role of psychological reactance on the impact of pro-environmental normative appeals. J Bus Res. 2020;113:257–265. doi:10.1016/j.jbusres.2019.10.018
   Web of Science ®Google Scholar
• Lu F, Sun Y. Covid-19 vaccine hesitancy: the effects of combining direct and indirect online opinion cues on psychological reactance to health campaigns. Comput Hum Behav. 2022;127:107057. doi:10.1016/j.chb.2021.107057
   PubMed Web of Science ®Google Scholar
• Jones MA, Taylor VA, Reynolds KE. The effect of requests for positive evaluations on customer satisfaction ratings. Psychol Marketi. 2014;31(3):161–170. doi:10.1002/mar.20684
   Web of Science ®Google Scholar
• Campbell MC, Kirmani A. Consumers’ use of persuasion knowledge: the effects of accessibility and cognitive capacity on perceptions of an influence agent. J Consum Res. 2000;27(1):69–83. doi:10.1086/314309
   Web of Science ®Google Scholar
• Ham CD, Nelson MR. The role of persuasion knowledge, assessment of benefit and harm, and third-person perception in coping with online behavioral advertising. Comput Hum Behav. 2016;62:689–702. doi:10.1016/j.chb.2016.03.076
   Web of Science ®Google Scholar
• Brehm JW. A Theory of Psychological Reactance. New York, NY: Academic Press; 1966.
   Google Scholar
• Zhou L. Internationalization and the performance of born-global SMEs: the mediating role of social networks. j Int Bus Stud. 2007;38(4):673–690. doi:10.1057/palgrave.jibs.8400282
   Web of Science ®Google Scholar
• Luo Y. Guanxi: principles, philosophies, and implications. Hum Syst Manag. 1997;16:43–52. doi:10.3233/HSM-1997-16106
   Google Scholar
• Yang FX, Lau MC. Does workplace guanxi matter to hotel career success? Int J Hosp Manag. 2015;47:43–53. doi:10.1016/j.ijhm.2015.03.004
   Web of Science ®Google Scholar
• Ou CX, Pavlou PA, Davison R. Swift guanxi in online marketplaces: the role of computer-mediated communication technologies. MIS Quart. 2014;38(1):209–230. doi:10.25300/MISQ/2014/38.1.10
   Web of Science ®Google Scholar
• Fu W, Diez JR, Schiller D. Interactive learning, informal networks and innovation: evidence from electronics firm survey in the pearl river delta, China. Res Policy. 2013;42(3):635–646. doi:10.1016/j.respol.2012.09.006
   Web of Science ®Google Scholar
• Zhang M, Hartley JL. Guanxi, it systems, and innovation capability: the moderating role of proactiveness. J Bus Res. 2018;90:75–86. doi:10.1016/j.jbusres.2018.04.036
   Web of Science ®Google Scholar
• Schwartz HS. Individualism-collectivism: critique and proposed refinements. J Cross-Cult Psychol. 1990;21(2):139–157. doi:10.1177/0022022190212001
   Web of Science ®Google Scholar
• Yen DA, Barnes BR. Analyzing stage and duration of anglo-Chinese business-to-business relationships. Ind Market Manag. 2011;40(3):346–357. doi:10.1016/j.indmarman.2010.08.003
   Web of Science ®Google Scholar
• Yen AW, Abosag I. Localization in China: how guanxi moderates sino–us business relationships. J Bus Res. 2016;69(12):5724–5734. doi:10.1016/j.jbusres.2016.05.002
   Web of Science ®Google Scholar
• Yen DA, Barnes BR, Cheng LW. The measurement of guanxi: introducing the grx scale. Ind Market Manag. 2011;40(1):97–108. doi:10.1016/j.indmarman.2010.09.014
   Web of Science ®Google Scholar
• Luo Y. Guanxi and performance of foreign-invested enterprises in China: an empirical inquiry. Manag Int Rev. 1997;37(1):51–70.
   Google Scholar
• Shaalan AS, Reast J, Johnson D, Tourky ME. East meets west: toward a theoretical model linking guanxi and relationship marketing. J Bus Res. 2013;66(12):2515–2521. doi:10.1016/j.jbusres.2013.05.043
   Web of Science ®Google Scholar
• Lin J, Li L, Yan Y, Turel O. Understanding Chinese consumer engagement in social commerce: the roles of social support and swift guanxi. Internet Res. 2018;28(1):2–22. doi:10.1108/IntR-11-2016-0349
   Web of Science ®Google Scholar
• Lee DJ, Pae JH, Wong YH. A model of close business relationships in China (guanxi). Eur J Marketing. 2001;35(1/2):51–69. doi:10.1108/03090560110363346
   Google Scholar
• Butcher K, Sparks B, O’Callaghan F. Evaluative and relational influences on service loyalty. Int J Serv Ind Manag. 2001;12(4):310–327. doi:10.1108/09564230110405253
   Google Scholar
• Dwyer FR, Schurr PH, Oh S. Developing buyer-seller relationships. J Market. 1987;51(2):11–27. doi:10.1177/002224298705100202
   Web of Science ®Google Scholar
• Khac D, Do X, Rahman K, Robinson LJ. Determinants of negative customer engagement behaviours. J Serv Market. 2020;34(2):117–135.
   Web of Science ®Google Scholar
• Chesney T, Coyne I, Logan B, Madden N. Griefing in virtual worlds: causes, casualties and coping strategies. Inform Syst J. 2009;19(6):525–548. doi:10.1111/j.1365-2575.2009.00330.x
   Web of Science ®Google Scholar
• Goode S. Engagement and disengagement in online service failure: contrasting problem and emotional coping effects. J Internet Comm. 2012;11(3):226–253. doi:10.1080/15332861.2012.729464
   Google Scholar
• Bowden JLH, Gabbott M, Naumann K. Service relationships and the customer disengagement – engagement conundrum. J Market Manag. 2015;31(7–8):774–806. doi:10.1080/0267257X.2014.983143
   Web of Science ®Google Scholar
• Baxter LA. Accomplishing Relationship Disengagement. Beverly Hills, CA: Sage Publications, Inc; 1985:243–265.
   Google Scholar
• Vakratsas D, Ambler T. How advertising works: what do we really know? J Market. 1999;63(1):26–43. doi:10.1177/002224299906300103
   Web of Science ®Google Scholar
• Narang U, Yadav MS, Rindfleisch A. The “idea advantage”: how content sharing strategies impact engagement in online learning platforms. J Market Res. 2022;59(1):61–78. doi:10.1177/00222437211017828
   Web of Science ®Google Scholar
• Shi X, Evans R, Shan W. Solver engagement in online crowdsourcing communities: the roles of perceived interactivity, relationship quality and psychological ownership. Technol Forecast Soc. 2022;175:121389. doi:10.1016/j.techfore.2021.121389
   Web of Science ®Google Scholar
• Yan S, Miller KM, Skiera B. How does the adoption of ad blockers affect news consumption? J Market Res. 2022;00222437221076160.
   Web of Science ®Google Scholar
• Chellasamy A, Almeida SM, Prakasha G, Nagarathinam A, Rangasamy S. Social media disengagement among gen y and gen z: a quantitative investigation. Med Literacy Acad Res. 2022;5(5):230–252.
   Google Scholar
• Forbes-Riley K, Litman D, Friedberg H. Annotating Disengagement for Spoken Dialogue Computer Tutoring. In New Perspectives on Affect and Learning Technologies. New York, NY: Springer; 2011:169–181.
   Google Scholar
• Molden D, Lucas G, Gardner W, Dean K, Knowles M. Motivations for prevention or promotion following social exclusion: being rejected versus being ignored. J Pers Soc Psychol. 2009;96(2):415–431. doi:10.1037/a0012958
   PubMed Web of Science ®Google Scholar
• Ragu-Nathan T, Tarafdar M, Ragu-Nathan BS, Tu Q. The consequences of technostress for end users in organizations: conceptual development and empirical validation. Inform Syst Res. 2008;19(4):417–433. doi:10.1287/isre.1070.0165
   Web of Science ®Google Scholar
• La Rose R, Connolly R, Lee H, Kang L, Hales K. Connection overload? A cross cultural study of the consequences of social media connection. J Inf Syst Manage. 2014;31(1):59–73. doi:10.1080/10580530.2014.854097
   Web of Science ®Google Scholar
• Jacobson RP, Mortensen CR, Cialdini RB. Bodies obliged and unbound: differentiated response tendencies for injunctive and descriptive social norms. J Pers Soc Psychol. 2011;100(3):433–448. doi:10.1037/a0021470
   PubMed Web of Science ®Google Scholar
• Cohen S. Aftereffects of stress on human performance and social behavior: a review of research and theory. Psychol Bull. 1980;88(1):82–108. doi:10.1037/0033-2909.88.1.82
   PubMed Web of Science ®Google Scholar
• Cho J, Ramgolam DI, Schaefer KM, Sandlin AN. The rate and delay in overload: an investigation of communication overload and channel synchronicity on identification and job satisfaction. J Appl Commun Res. 2011;39(1):38–54. doi:10.1080/00909882.2010.536847
   Web of Science ®Google Scholar
• Davison RM. Interactive or interruptive? Instant messaging at work. Decis Support Syst. 2011;52(1):61–72. doi:10.1016/j.dss.2011.05.004
   Web of Science ®Google Scholar
• Kim S-Y, Levine TR, Allen M. The intertwined model of reactance for resistance and persuasive boomerang. Commun Res. 2017;44(7):931–951. doi:10.1177/0093650214548575
   Web of Science ®Google Scholar
• Bleier A, Eisenbeiss M. The importance of trust for personalized online advertising. J Retailing. 2015;91(3):390–409. doi:10.1016/j.jretai.2015.04.001
   Web of Science ®Google Scholar
• Lunardo R, Mbengue A. When atmospherics lead to inferences of manipulative intent: its effects on trust and attitude. J Bus Res. 2013;66(7):823–830. doi:10.1016/j.jbusres.2011.06.007
   Web of Science ®Google Scholar
• Goot MJVD, Rozendaal E, Opree SJ, Ketelaar PE, Smit EG. Media generations and their advertising attitudes and avoidance: a six-country comparison. Int J Advert. 2018;37(2):289–308. doi:10.1080/02650487.2016.1240469
   Web of Science ®Google Scholar
• Lang A. Using the limited capacity model of motivated mediated message processing to design effective cancer communication messages. J Commun. 2006;56:S57–S80. doi:10.1111/j.1460-2466.2006.00283.x
   Web of Science ®Google Scholar
• Graupmann V, Jonas E, Meier E, Hawelka S, Aichhorn M. Reactance, the self, and its group: when threats to freedom come from the ingroup versus the outgroup. Eur J Soc Psychol. 2012;42(2):164–173. doi:10.1002/ejsp.857
   Web of Science ®Google Scholar
• Brehm S, Brehm J. Psychological reactance: a theory of freedom and control. Nurs Stand. 1981;2:27.
   Google Scholar
• Lin CA, Kim T. Predicting user response to sponsored advertising on social media via the technology acceptance model. Comput Hum Behav. 2016;64:710–718. doi:10.1016/j.chb.2016.07.027
   Web of Science ®Google Scholar
• Rains SA. The nature of psychological reactance revisited: a meta-analytic review. Hum Commun Res. 2013;39(1):47–73. doi:10.1111/j.1468-2958.2012.01443.x
   Web of Science ®Google Scholar
• Cho C-H, Cheon HJ. Why do people avoid advertising on the internet ? J Advertising. 2004;33(4):89–97. doi:10.1080/00913367.2004.10639175
   Web of Science ®Google Scholar
• Tucker CE. The economics of advertising and privacy. Int J Ind Organ. 2012;30(3):326–329. doi:10.1016/j.ijindorg.2011.11.004
   Web of Science ®Google Scholar
• Rains SA, Turner MM. Psychological reactance and persuasive health communication: a test and extension of the intertwined model. Hum Commun Res. 2007;33(2):241–269.
   Web of Science ®Google Scholar
• Ham C-D. Exploring how consumers cope with online behavioral advertising. Int J Advert. 2017;36(4):632–658. doi:10.1080/02650487.2016.1239878
   Web of Science ®Google Scholar
• Ahn RJ, Ham C-D. Exploring the effect of ad choice in online video-streaming platforms: moderated by ad involvement and mediated by psychological reactance. J Curr Iss Res Ad. 2022;1–17.
   Google Scholar
• Jacobs JB. A preliminary model of particularistic ties in Chinese political alliances: kan-ch’ing and kuan-hsi in a rural Taiwanese township. China Quart. 1979;78:237–273. doi:10.1017/S0305741000040467
   Google Scholar
• Su C, Sirgy MJ, Littlefield JE. Is guanxi orientation bad, ethically speaking? A study of Chinese enterprises. J Bus Ethics. 2003;44(4):303–312. doi:10.1023/A:1023696619286
   Web of Science ®Google Scholar
• Cotte J, Coulter RA, Moore M. Enhancing or disrupting guilt: the role of ad credibility and perceived manipulative intent. J Bus Res. 2005;58(3):361–368. doi:10.1016/S0148-2963(03)00102-4
   Web of Science ®Google Scholar
• Ringler C, Sirianni NJ, Gustafsson A, Peck J. Look but don’t touch! The impact of active interpersonal haptic blocking on compensatory touch and purchase behavior. J Retailing. 2019;95(4):186–203. doi:10.1016/j.jretai.2019.10.007
   Web of Science ®Google Scholar
• Shao Z, Pan Z. Building guanxi network in the mobile social platform: a social capital perspective. Int J Inform Manage. 2019;44:109–120. doi:10.1016/j.ijinfomgt.2018.10.002
   Web of Science ®Google Scholar
• Lin J, Lin S, Turel O, Xu F. The buffering effect of flow experience on the relationship between overload and social media users’ discontinuance intentions. Telemat Inform. 2020;49:101374. doi:10.1016/j.tele.2020.101374
   Web of Science ®Google Scholar
• iiMedia Research. 2019 h1 China mobile payment industry research report. Available from: https://report.iimedia.cn/repo8-0/38880.html. Accessed September 27, 2019.
   Google Scholar
• Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Market Res. 1981;18(1):39–50. doi:10.1177/002224378101800104
   Web of Science ®Google Scholar
• Kaur G, Mantok S. Effects of entrepreneurial orientation on business performance: a study of ssis in Ludhiana. J Serv Res. 2015;15(1):131–158.
   Google Scholar
• Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. 7th ed. Upper Saddle River, NJ: Pearson Prentice Hall; 2010.
   Google Scholar
• Petter S, Rai SA. Specifying formative constructs in information systems research. MIS Quart. 2007;31(4):623–656. doi:10.2307/25148814
   Web of Science ®Google Scholar
• Liang H, Saraf N, Hu Q, Xue Y. Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS Quart. 2007;31:59–87. doi:10.2307/25148781
   Web of Science ®Google Scholar
• Podsakoff PM, MacKenzie SB, Lee J-Y, Podsakoff NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol. 2003;88(5):879–903. doi:10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Baron RM, Kenny DA. The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51(6):1173–1182. doi:10.1037/0022-3514.51.6.1173
   PubMed Web of Science ®Google Scholar
• Lunardo R, Roux D, Chaney D. The evoking power of servicescapes: consumers’ inferences of manipulative intent following service environment-driven evocations. J Bus Res. 2016;69(12):6097–6105. doi:10.1016/j.jbusres.2016.06.017
   Web of Science ®Google Scholar
• Dillard JP, Shen L. On the nature of reactance and its role in persuasive health communication. Commun Monogr. 2005;72(2):144–168. doi:10.1080/03637750500111815
   Web of Science ®Google Scholar
• Turnley WH, Feldman DC. The impact of psychological contract violations on exit, voice, loyalty, and neglect. Hum Relat. 1999;52(7):895–922. doi:10.1177/001872679905200703
   Web of Science ®Google Scholar
• Farrell D. Exit, voice, loyalty, and neglect as responses to job dissatisfaction: a multidimensional scaling study. Acad Manag J. 1983;26(4):596–607. doi:10.2307/255909
   Web of Science ®Google Scholar
• Ding G, Liu H, Qian H, Gu J. Moderating effects of guanxi and face on the relationship between psychological motivation and knowledge-sharing in China. J Knowl Manag. 2017;21(5):98. doi:10.1108/JKM-10-2016-0439
   Web of Science ®Google Scholar
• Lin LH. Cultural and organizational antecedents of guanxi: the Chinese cases. J Bus Ethics. 2011;99(3):441–451. doi:10.1007/s10551-010-0662-3
   Web of Science ®Google Scholar
• Davison RM, Ou CX, Martinsons MG. Interpersonal knowledge exchange in China: the impact of guanxi and social media. Inform Manage Amster. 2018;55(2):224–234. doi:10.1016/j.im.2017.05.008
   Web of Science ®Google Scholar
• Chong AYL, Lacka E, Boying L, Chan HK. The role of social media in enhancing guanxi and perceived effectiveness of e-commerce institutional mechanisms in online marketplace. Inform Manage Amster. 2018;55(5):621–632. doi:10.1016/j.im.2018.01.003
   Web of Science ®Google Scholar
• Zhu YQ, Chang JH. The key role of relevance in personalized advertisement: examining its impact on perceptions of privacy invasion, self-awareness, and continuous use intentions. Comput Hum Behav. 2016;65:442–447. doi:10.1016/j.chb.2016.08.048
   Web of Science ®Google Scholar