Dealing with Service Failures and Complaints on Social Media: The Role of Online Social Support in China

References

• Abid, G., Arya, B., Arshad, A., Ahmed, S., & Farooqi, S. (2021). Positive personality traits and self-leadership in sustainable organizations: Mediating influence of thriving and moderating role of proactive personality. Sustainable Production and Consumption, 25, 299–311. https://doi.org/10.1016/j.spc.2020.09.005
   Web of Science ®Google Scholar
• Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
   Google Scholar
• Ajzen, I., & Kruglanski, A. W. (2019). Reasoned action in the service of goal pursuit. Psychological Review, 126(5), 774–786. https://doi.org/10.1037/rev0000155
   PubMed Web of Science ®Google Scholar
• Akgunduz, Y., Adan Gök, Ö., & Alkan, C. (2020). The effects of rewards and proactive personality on turnover intentions and meaning of work in hotel businesses. Tourism and Hospitality Research, 20(2), 170–183. https://doi.org/10.1177/1467358419841097
   Web of Science ®Google Scholar
• Alikaj, A., Ning, W., & Wu, B. (2021). Proactive personality and creative behavior: Examining the role of thriving at work and high-involvement HR practices. Journal of Business and Psychology, 36(5), 857–869. https://doi.org/10.1007/s10869-020-09704-5
   Web of Science ®Google Scholar
• Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79–95. https://doi.org/10.1007/s11747-019-00695-1
   Web of Science ®Google Scholar
• Arrigo, E., Di Vaio, A., Hassan, R., & Palladino, R. (2022). Followership behavior and corporate social responsibility disclosure: Analysis and implications for sustainability research. Journal of Cleaner Production, 360, 132151. https://doi.org/10.1016/j.jclepro.2022.132151
   Web of Science ®Google Scholar
• Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037//0022-3514.51.6.1173
   PubMed Web of Science ®Google Scholar
• Bateman, T. S., & Crant, J. M. (1993). The proactive component of organizational behavior: A measure and correlates. Journal of Organizational Behavior, 14(2), 103–118. https://doi.org/10.1002/job.4030140202
   Web of Science ®Google Scholar
• Bateson, J. E. (1985). Self-service consumer: An exploratory study. Journal of Retailing, 61(3), 49–76. https://doi.org/10.1108/09604521211218945
   Web of Science ®Google Scholar
• Béal, M., & Grégoire, Y. (2022). How do observers react to companies’ humorous responses to online public complaints? Journal of Service Research, 25(2), 242–259. https://doi.org/10.1177/1094670521989448
   Web of Science ®Google Scholar
• Belanche, D., Flavian, M., & Perez-Rueda, A. (2020). Mobile apps use and WOM in the food delivery sector: The role of planned behavior, perceived security and customer lifestyle compatibility. Sustainability, 12(10), 4275. https://doi.org/10.3390/su12104275
   Web of Science ®Google Scholar
• Brailovskaia, J., & Margraf, J. (2021). The relationship between burden caused by coronavirus (Covid-19), addictive social media use, sense of control and anxiety. Computers in Human Behavior, 119, 106720. https://doi.org/10.1016/j.chb.2021.106720
   PubMed Web of Science ®Google Scholar
• Brothers, K. B., Rivera, S. M., Cadigan, R. J., Sharp, R. R., & Goldenberg, A. J. (2019). A Belmont reboot: Building a normative foundation for human research in the 21st century. The Journal of Law, Medicine & Ethics, 47(1), 165–172. https://doi.org/10.1177/1073110519840497
   PubMed Web of Science ®Google Scholar
• Burger, J. M. (1989). Negative reactions to increases in perceived personal control. Journal of Personality and Social Psychology, 56(2), 246–256. https://doi.org/10.1037/0022-3514.56.2.246
   Web of Science ®Google Scholar
• Campbell, R., Goodman-Williams, R., & Javorka, M. (2019). A trauma-informed approach to sexual violence research ethics and open science. Journal of Interpersonal Violence, 34(23–24), 4765–4793. https://doi.org/10.1177/0886260519871530
   PubMed Web of Science ®Google Scholar
• Caniëls, M. C., Semeijn, J. H., & Renders, I. H. (2018). Mind the mindset! The interaction of proactive personality, transformational leadership and growth mindset for engagement at work. Career Development International, 23(1), 48–66. https://doi.org/10.1108/CDI-11-2016-0194
   Web of Science ®Google Scholar
• Cao, Y., Li, J., Qin, X., & Hu, B. (2020). Examining the effect of overload on the mHealth application resistance behavior of elderly users: An SOR perspective. International Journal of Environmental Research and Public Health, 17(18), 6658. https://doi.org/10.3390/ijerph17186658
   PubMed Web of Science ®Google Scholar
• Chien, S. Y., Yang, A. J. F., & Huang, Y. C. (2021). Hotel frontline service employees’ creativity and customer-oriented boundary-spanning behaviors: The effects of role stress and proactive personality. Journal of Hospitality and Tourism Management, 47, 422–430. https://doi.org/10.1016/j.jhtm.2021.08.018
   Web of Science ®Google Scholar
• Choi, L., & Hwang, J. (2019). The role of prosocial and proactive personality in customer citizenship behaviors. Journal of Consumer Marketing, 36(2), 288–305. https://doi.org/10.1057/s41264-022-00150-3
   Web of Science ®Google Scholar
• Costello, J. P., & Malkoc, S. A. (2022). Why are donors more generous with time than money? The role of perceived control over donations on charitable giving. Journal of Consumer Research, 49(4), 678–696. https://doi.org/10.1093/jcr/ucac011
   Web of Science ®Google Scholar
• Cushing, P., & Douglas-Tate, M. (1985). The effect of people/product relationships on advertising processing. Psychological Processes and Advertising Effects, 241–259.
   Google Scholar
• De Campos Ribeiro, G., Butori, R., & Le Nagard, E. (2018). The determinants of approval of online consumer revenge. Journal of Business Research, 88, 212–221. https://doi.org/10.1016/j.jbusres.2018.03.024
   Web of Science ®Google Scholar
• De Kimpe, L., Ponnet, K., Walrave, M., Snaphaan, T., Pauwels, L., & Hardyns, W. (2020). Help, I need somebody: Examining the antecedents of social support seeking among cybercrime victims. Computers in Human Behavior, 108, 106310. https://doi.org/10.1016/j.chb.2020.106310
   Web of Science ®Google Scholar
• De Ridder, D., & Gillebaart, M. (2017). Lessons learned from trait self-control in well-being: Making the case for routines and initiation as important components of trait self-control. Health Psychology Review, 11(1), 89–99. https://doi.org/10.1080/17437199.2016.1266275
   PubMed Web of Science ®Google Scholar
• De Souza, R. R., Toebe, M., Mello, A. C., & Bittencourt, K. C. (2023). Sample size and Shapiro–Wilk test: An analysis for soybean grain yield. European Journal of Agronomy, 142, 126666. https://doi.org/10.1016/j.eja.2022.126666
   Web of Science ®Google Scholar
• Dolan, R., Seo, Y., & Kemper, J. (2019). Complaining practices on social media in tourism: A value co-creation and co-destruction perspective. Tourism Management, 73, 35–45. https://doi.org/10.1016/j.tourman.2019.01.017
   Web of Science ®Google Scholar
• Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168
   Web of Science ®Google Scholar
• Eastwood, J. D., Frischen, A., Fenske, M. J., & Smilek, D. (2012). The unengaged mind: Defining boredom in terms of attention. Perspectives on Psychological Science, 7(5), 482–495. https://doi.org/10.1177/1745691612456044
   Web of Science ®Google Scholar
• Grant, R. (2013). 85% of consumers will retaliate against a company with bad customer service. VB News. https://doi.org/10.1016/j.bushor.2014.11.001
   Google Scholar
• Grégoire, Y., & Mattila, A. S. (2021). Service failure and recovery at the crossroads: Recommendations to revitalize the field and its influence. Journal of Service Research, 24(3), 323–328. https://doi.org/10.1177/1094670520958073
   Web of Science ®Google Scholar
• Grégoire, Y., Ghadami, F., Laporte, S., Sénécal, S., & Larocque, D. (2018). How can firms stop customer revenge? The effects of direct and indirect revenge on post-complaint responses. Journal of the Academy of Marketing Science, 46(6), 1052–1071. https://doi.org/10.1007/s11747-018-0597-2
   Web of Science ®Google Scholar
• Gunarathne, P., Rui, H., & Seidmann, A. (2018). When social media delivers customer service: Differential customer treatment in the airline industry. MIS Quarterly, 42(2), 489–520. https://doi.org/10.25300/MISQ/2018/14290
   Web of Science ®Google Scholar
• Han, S., Harold, C. M., & Cheong, M. (2019). Examining why employee proactive personality influences empowering leadership: The roles of cognition-and affect-based trust. Journal of Occupational and Organizational Psychology, 92(2), 352–383. https://doi.org/10.1108/IJCHM-03-2019-0244
   Web of Science ®Google Scholar
• Hao, S., & Han, P. (2022). The moderating roles of trust and felt trust on the relationship between proactive personality and voice behaviour. Management Decision, 60(8), 2224–2237. https://doi.org/10.1016/j.leaqua.2011.05.015
   Web of Science ®Google Scholar
• Hauser, F., Hautz, J., Hutter, K., & Füller, J. (2017). Firestorms: Modeling conflict diffusion and management strategies in online communities. The Journal of Strategic Information Systems, 26(4), 285–321. https://doi.org/10.1016/j.jsis.2017.01.002
   Web of Science ®Google Scholar
• Heaperman, A., & Andrews, F. (2020). Promoting the health of mothers of young children in Australia: A review of face-to-face and online support. Health Promotion Journal of Australia, 31(3), 402–410. https://doi.org/10.1002/hpja.334
   PubMed Web of Science ®Google Scholar
• Hewei, T., & Youngsook, L. (2022). Factors affecting continuous purchase intention of fashion products on social E-commerce: SOR model and the mediating effect. Entertainment Computing, 41, 100474. https://doi.org/10.1016/j.entcom.2021.100474
   Web of Science ®Google Scholar
• Hossain, M. A., & Kim, M. (2020). A comprehensive study on social commerce in social networking sites. SAGE Open, 10(2), 215824402093622. https://doi.org/10.1177/2158244020936225
   Web of Science ®Google Scholar
• Huang, H. Y., Li, H., & Hsu, Y. C. (2022). Coping, COVID knowledge, communication, and HBCU student’s emotional well-being: Mediating role of perceived control and social connectedness. Journal of Community Psychology, 50(6), 2703–2725. https://doi.org/10.1002/jcop.22824
   PubMed Web of Science ®Google Scholar
• Huang, K. Y., & Chengalur-Smith, S. (2019). Received support, perceived support, and social support observation and provision in virtual communities.
   Google Scholar
• Huang, R., & Ha, S. (2022). How do consumer-to-consumer interactions affect bystanders on corporate social media (CSM)? (In)civility in advocates’ responses and complainant-bystander psychological distance. The Service Industries Journal, 1–24. https://doi.org/10.1080/02642069.2022.2057475
   Web of Science ®Google Scholar
• Ibrahim, B., & Aljarah, A. (2023). The era of Instagram expansion: Matching social media marketing activities and brand loyalty through customer relationship quality. Journal of Marketing Communications, 29(1), 1–25. https://doi.org/10.1080/13527266.2021.1984279
   Google Scholar
• Igarashi, R. (2019). Hindering and challenging aspects of sales control systems: A granular approach to the burnout process in Japan [Doctoral dissertation]. University of Leeds.
   Google Scholar
• Im, H., Kim, N. L., & Lee, H. K. (2022). Why did (some) consumers buy toilet papers? A cross-cultural examination of panic buying as a maladaptive coping response to COVID-19. Journal of Consumer Affairs, 56(1), 391–413. https://doi.org/10.1111/joca.12426
   Web of Science ®Google Scholar
• Khamitov, M., Grégoire, Y., & Suri, A. (2020). A systematic review of brand transgression, service failure recovery and product-harm crisis: Integration and guiding insights. Journal of the Academy of Marketing Science, 48(3), 519–542. https://doi.org/10.1007/s11747-019-00679-1
   Web of Science ®Google Scholar
• Khan, F., Ahmed, W., & Najmi, A. (2019). Understanding consumers’ behavior intentions towards dealing with the plastic waste: Perspective of a developing country. Resources, Conservation and Recycling, 142, 49–58. https://doi.org/10.1016/j.resconrec.2018.11.020
   Web of Science ®Google Scholar
• Kim, K., & Baker, M. A. (2022). Do I deserve to spend? Online social support and spending pleasure. Cornell Hospitality Quarterly, 63(2), 152–168. https://doi.org/10.1177/1938965520973576
   Web of Science ®Google Scholar
• Kim, S., & Kim, S. (2020). Searching for general model of conspiracy theories and its implication for public health policy: Analysis of the impacts of political, psychological, structural factors on conspiracy beliefs about the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(1), 266. https://doi.org/10.3390/ijerph18010266
   PubMed Web of Science ®Google Scholar
• Kimiagari, S., & Malafe, N. S. A. (2021). The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior. Journal of Retailing and Consumer Services, 61, 102567. https://doi.org/10.1016/j.jretconser.2021.102567
   Web of Science ®Google Scholar
• Koay, K. Y., Cheah, C. W., & Goon, S. W. U. (2023). How do perceived social media marketing activities foster purchase intentions? A multiple sequential mediation model. Journal of Global Marketing, 36(3), 210–224. https://doi.org/10.1080/08911762.2023.2207072
   Google Scholar
• Ku, H. H., Shang, R. A., & Fu, Y. F. (2021). Social learning effects of complaint handling on social media: Self-construal as a moderator. Journal of Retailing and Consumer Services, 59, 102343. https://doi.org/10.1016/j.jretconser.2020.102343
   Web of Science ®Google Scholar
• Kübler, R. V., Colicev, A., & Pauwels, K. H. (2020). Social media’s impact on the consumer mindset: When to use which sentiment extraction tool? Journal of Interactive Marketing, 50(1), 136–155. https://doi.org/10.1016/j.intmar.2019.08.001
   Google Scholar
• Lei, X., Wu, H., Deng, Z., & Ye, Q. (2023). Self-disclosure, social support and postpartum depressive mood in online social networks: A social penetration theory perspective. Information Technology & People, 36(1), 433–453. https://doi.org/10.1007/s11469-022-00818-w
   Web of Science ®Google Scholar
• Leung, W. K., Chang, M. K., Cheung, M. L., & Shi, S. (2022). Swift trust development and prosocial behavior in time banking: A trust transfer and social support theory perspective. Computers in Human Behavior, 129, 107137. https://doi.org/10.1016/j.chb.2021.107137
   Web of Science ®Google Scholar
• Li, X., Xu, M., Zeng, W., Tse, Y. K., & Chan, H. K. (2023). Exploring customer concerns on service quality under the COVID-19 crisis: A social media analytics study from the retail industry. Journal of Retailing and Consumer Services, 70, 103157. https://doi.org/10.1016/j.jretconser.2022.103157
   Web of Science ®Google Scholar
• Lin, N., & Ensel, W. M. (1989). Life stress and health: Stressors and resources. American Sociological Review, 54(3), 382–399. https://doi.org/10.2307/2095612
   Web of Science ®Google Scholar
• Lin, N., & Roberts, K. R. (2020). Using the theory of planned behavior to predict food safety behavioral intention: A systematic review and meta-analysis. International Journal of Hospitality Management, 90, 102612. https://doi.org/10.1016/j.ijhm.2020.102612
   Web of Science ®Google Scholar
• Lin, X., & Zhang, H. (2022). A study on the relationship between online social support, reciprocity, and customer citizenship behavior: A case of online travel communities. Tourism Tribune, 37(12), 99–110. https://doi.org/10.3389/fpsyg.2022.842138
   Google Scholar
• Liu, X. Y., De Pater, I. E., & Ilies, R. (2021). Turning lemons into lemonade: The role of proactive personality and information exchange in limiting reciprocal negative affect transference in service encounters. Journal of Organizational Behavior, 42(9), 1282–1300. https://doi.org/10.1002/job.2542
   Web of Science ®Google Scholar
• Luqman, A., Cao, X., Ali, A., Masood, A., & Yu, L. (2017). Do you get exhausted from too much socializing? Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm. Computers in Human Behavior, 70, 544–555. https://doi.org/10.1016/j.chb.2017.01.020
   Web of Science ®Google Scholar
• Ma, R., & Wang, W. (2021). Smile or pity? Examine the impact of emoticon valence on customer satisfaction and purchase intention. Journal of Business Research, 134, 443–456. https://doi.org/10.1016/j.jbusres.2021.05.057
   Web of Science ®Google Scholar
• Maan, A. T., Abid, G., Butt, T. H., Ashfaq, F., & Ahmed, S. (2020). Perceived organizational support and job satisfaction: A moderated mediation model of proactive personality and psychological empowerment. Future Business Journal, 6(1), 12. https://doi.org/10.1186/s43093-020-00027-8
   Web of Science ®Google Scholar
• Maheswaran, D., & Meyers-Levy, J. (1990). The influence of message framing and issue involvement. Journal of Marketing Research, 27(3), 361–367. https://doi.org/10.1002/cb.247
   Web of Science ®Google Scholar
• Marsh, J. (2021). The influence of an individual’s disposition to value privacy in a non-contrived study [Doctoral dissertation]. Nova Southeastern University.
   Google Scholar
• Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press. https://doi.org/10.1016/S0167-4870(97)00021-4
   Google Scholar
• Molinillo, S., Anaya-Sánchez, R., & Liébana-Cabanillas, F. (2020). Analyzing the effect of social support and community factors on customer engagement and its impact on loyalty behaviors toward social commerce websites. Computers in Human Behavior, 108, 105980. https://doi.org/10.1016/j.chb.2019.04.004
   Web of Science ®Google Scholar
• Nadeem, W., Juntunen, M., Shirazi, F., & Hajli, N. (2020). Consumers’ value co-creation in sharing economy: The role of social support, consumers’ ethical perceptions and relationship quality. Technological Forecasting and Social Change, 151, 119786. https://doi.org/10.1016/j.techfore.2019.119786
   Web of Science ®Google Scholar
• Ngah, A. H., Anuar, M. M., Rozar, N. N., Ariza-Montes, A., Araya-Castillo, L., Kim, J. J., & Han, H. (2021). Online sellers’ reuse behaviour for third-party logistics services: An innovative model development and E-Commerce. Sustainability, 13(14), 7679. https://doi.org/10.3390/su13147679
   Web of Science ®Google Scholar
• Nguyen, L. T., Dang, M. H., Tat, T. D., & Tran, D. G. T. (2019). Revisiting customer complaints intention: A case study of mobile service users in Vietnam. The Journal of Asian Finance, Economics and Business, 6(1), 195–203. https://doi.org/10.13106/jafeb.2019.vol6.no1.195
   Google Scholar
• Nick, E. A., Cole, D. A., Cho, S.-J., Smith, D. K., Carter, T. G., & Zelkowitz, R. L. (2018). The Online Social Support Scale: Measure development and validation. Psychological Assessment, 30(9), 1127–1143. https://doi.org/10.1037/pas0000558
   PubMed Web of Science ®Google Scholar
• Özmete, E., & Pak, M. (2020). The relationship between anxiety levels and perceived social support during the pandemic of COVID-19 in Turkey. Social Work in Public Health, 35(7), 603–616. https://doi.org/10.1080/19371918.2020.1808144
   PubMed Web of Science ®Google Scholar
• Padhy, M., Ralte, L., Padiri, R. A., & Chelli, K. (2023). Well-being of police personnel: Role of perceived social support and perceived control of internal states. The Police Journal, 96(2), 318–330. https://doi.org/10.1177/0032258X221085689
   Google Scholar
• Panjaitan, R. (2022). Mediating role of customer engagement: Brand image enhancement from social-media marketing. Jurnal Maksipreneur, 12(1), 11–21. https://doi.org/10.30588/jmp.v12i1.971
   Google Scholar
• Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10(2), 135–146. https://doi.org/10.1086/208954
   Web of Science ®Google Scholar
• Pfeffer, J., Zorbach, T., & Carley, K. M. (2014). Understanding online firestorms: Negative word-of-mouth dynamics in social media networks. Journal of Marketing Communications, 20(1–2), 117–128. https://doi.org/10.1080/13527266.2013.797778
   Google Scholar
• Podsakoff, N. P., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Savari, M., & Khaleghi, B. (2023). Application of the extended theory of planned behavior in predicting the behavioral intentions of Iranian’s local communities toward forest conservation. Frontiers in Psychology, 14, 1121396. https://doi.org/10.3389/fpsyg.2023.1121396
   PubMed Web of Science ®Google Scholar
• Soelaeman, M., Daeng, A., & Ilham, M. (2022). The impact of brand social values and brand cognitive values to brand recommended intention with brand characteristic as mediating variable. International Journal of Entrepreneurship and Business Development, 5(1), 128–139. https://doi.org/10.29138/ijebd.v5i1.1618
   Google Scholar
• Sujarwoto, Saputri, R. A. M., & Yumarni, T. (2023). Social media addiction and mental health among university students during the COVID-19 pandemic in Indonesia. International Journal of Mental Health and Addiction, 21(1), 96–110. https://doi.org/10.1007/s11469-021-00582-3
   PubMed Web of Science ®Google Scholar
• Tajvidi, M., Wang, Y., Hajli, N., & Love, P. E. (2021). Brand value co-creation in social commerce: The role of interactivity, social support, and relationship quality. Computers in Human Behavior, 115, 105238. https://doi.org/10.1016/j.chb.2017.11.006
   Web of Science ®Google Scholar
• Tang, Z., Warkentin, M., & Wu, L. (2019). Understanding employees’ energy saving behavior from the perspective of stimulus-organism-responses. Resources, Conservation and Recycling, 140, 216–223. https://doi.org/10.1016/j.resconrec.2018.09.030
   Web of Science ®Google Scholar
• Ulker-Demirel, E., & Ciftci, G. (2020). A systematic literature review of the theory of planned behavior in tourism, leisure and hospitality management research. Journal of Hospitality and Tourism Management, 43, 209–219. https://doi.org/10.1016/j.jhtm.2020.04.003
   Web of Science ®Google Scholar
• Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in: Computer-mediated communication and relationships. Handbook of Interpersonal Communication, 3, 529–563.
   Google Scholar
• Wan, E. W., Chan, K. W., & Chen, R. P. (2016). Hurting or helping? The effect of service agents’ workplace ostracism on customer service perceptions. Journal of the Academy of Marketing Science, 44(6), 746–769. https://doi.org/10.1007/s11747-015-0466-1
   Web of Science ®Google Scholar
• Wang, H., & Lei, L. (2023). Proactive personality and job satisfaction: Social support and hope as mediators. Current Psychology, 42(1), 126–135. https://doi.org/10.1007/s12144-021-01379-2
   Web of Science ®Google Scholar
• Wolter, J. S., Bacile, T. J., & Xu, P. (2023). How online incivility affects consumer engagement behavior on brands’ social media. Journal of Service Research, 26(1), 103–119. https://doi.org/10.1016/j.jbusres.2022.08.049
   Web of Science ®Google Scholar
• Wu, C. H., Deng, H., & Li, Y. (2018). Enhancing a sense of competence at work by engaging in proactive behavior: The role of proactive personality. Journal of Happiness Studies, 19(3), 801–816. https://doi.org/10.1007/s10902-016-9827-9
   Web of Science ®Google Scholar
• Yang, H. L., & Lin, S. L. (2019). The reasons why elderly mobile users adopt ubiquitous mobile social service. Computers in Human Behavior, 93, 62–75. https://doi.org/10.1016/j.chb.2018.12.005
   Web of Science ®Google Scholar
• Yang, Q., Hayat, N., Al Mamun, A., Makhbul, Z. K. M., & Zainol, N. R. (2022). Sustainable customer retention through social media marketing activities using hybrid SEM-neural network approach. PLOS One, 17(3), e0264899. https://doi.org/10.1371/journal.pone.0264899
   PubMed Web of Science ®Google Scholar
• Yi-Feng Chen, N., Crant, J. M., Wang, N., Kou, Y., Qin, Y., Yu, J., & Sun, R. (2021). When there is a will there is a way: The role of proactive personality in combating COVID-19. The Journal of Applied Psychology, 106(2), 199–213. https://doi.org/10.1037/apl0000865
   PubMed Web of Science ®Google Scholar
• You, Z., Wang, M., & Shamu, Y. (2023). The impact of network social presence on live streaming viewers’ social support willingness: A moderated mediation model. Humanities and Social Sciences Communications, 10(1), 1–14. https://doi.org/10.1057/s41599-023-01892-8
   Google Scholar
• Zhang, C., Zhang, Z., Han, S., & Zhang, Y. (2020). A literature review of social media complaints and future prospects. Foreign Economics & Management, 42(12), 72–88. https://doi.org/10.1016/j.tourman.2016.10.001
   Google Scholar
• Zhao, W., Hu, F., Wang, J., Shu, T., & Xu, Y. (2022). A systematic literature review on social commerce: Assessing the past and guiding the future. Electronic Commerce Research and Applications, 57, 101219. https://doi.org/10.3390/jtaer18030065
   Web of Science ®Google Scholar
• Zhou, X., Wu, X., Wang, W., & Tian, Y. (2017). The relationship between social support and posttraumatic growth: The mediated role of state hope and positive reappraisal. Psychological Development and Education, 33(5), 587–594. https://doi.org/10.3389/fpsyg.2022.921362
   Google Scholar
• Zhu, D. H., Sun, H., & Chang, Y. P. (2016). Effect of social support on customer satisfaction and citizenship behavior in online brand communities: The moderating role of support source. Journal of Retailing and Consumer Services, 31, 287–293. https://doi.org/10.1016/j.jretconser.2016.04.013
   Web of Science ®Google Scholar