The Impact of Trust on the Willingness of Co-Tenancy Behavior: Evidence from China

References

• Doling J, Ronald R. Home ownership and asset-based welfare. J Housing Built Environ. 2010;25(2):165–173. doi:10.1007/s10901-009-9177-6
   Web of Science ®Google Scholar
• Kawata N (2007) Single people in context of Japan’s housing system. European network of housing research conference.Rotterdam, the Netherlands
   Google Scholar
• Heath S, Davies K, Edwards G, Scicluna R. Shared Housing, Shared Lives: Everyday Experiences Across the Lifecourse. Routledge; 2017.
   Google Scholar
• Kenyon E, Heath S. Choosing this life: narratives of choice amongst houses sharers. Housing Stud. 2001;16(5):619–638. doi:10.1080/02673030120080080
   Web of Science ®Google Scholar
• Kenyon E, Heath S. Choosing this life: narratives of choice amongst houses sharers. Housing Stud. 2001;16(5):619–635. doi:10.1080/02673030120080080
   Web of Science ®Google Scholar
• Goudge J, Gilson L. How can trust be investigated? Drawing lessons from past experience. Soc Sci Med. 2005;61(7):1439–1451. doi:10.1016/j.socscimed.2004.11.071
   PubMed Web of Science ®Google Scholar
• Larzelere RE, Huston TL. The dyadic trust scale: toward understanding interpersonal trust in close relationships. J Marriage Fam. 1980;42(3):595–604. doi:10.2307/351903
   Web of Science ®Google Scholar
• Cummings LL, Bromiley P. The organizational trust inventory (OTI): development and validation. In: Kramer RM, Tyler TR, editors. Trust in Organizations: Frontiers of Theory and Research. London: Sage Publications; 1996.
   Google Scholar
• Balliet D, Van Lange PA. Trust, conflict, and cooperation: a meta-analysis. Psychol Bull. 2013;139(5):1090–1112. doi:10.1037/a0030939
   PubMed Web of Science ®Google Scholar
• Li T, Liu X, Pan J, Zhou G. The interactive effect of facial appearance and behavior statement on trust belief and trust behavior. Pers Individ Dif. 2017;117:60–65. doi:10.1016/j.paid.2017.05.038
   Web of Science ®Google Scholar
• Agneessens F, Wittek R. Social capital and employee well-being: disentangling intrapersonal and interpersonal selection and influence mechanisms. Revue Française de Sociologie. 2008;49(3):613–637. doi:10.3917/rfs.493.0613
   Web of Science ®Google Scholar
• Rotenberg KJ. The conceptualization of interpersonal trust: a basis, domain, and target framework. In: Rotenberg KJ, editor. Interpersonal Trust During Childhood and Adolescence. Cambridge, MA: Cambridge University Press; 2010, pp. 8–27.
   Google Scholar
• McAllister DH. Affect and cognition-base trust as foundations for interpersonal cooperation in organizations. Acad Manage J. 1995;(23):24–59.
   Web of Science ®Google Scholar
• Mechanic D, Meyer S. Concepts of trust among patients with serious illness. Soc Sci Med. 2000;51(5):657–668. doi:10.1016/S0277-9536(00)00014-9
   PubMed Web of Science ®Google Scholar
• Thom DH, Campbell B. Patient-physician trust: an exploratory study. J Fam Pract. 1997;44(2):169–176.
   PubMed Web of Science ®Google Scholar
• Thorne SE, Robinson CA. Guarded alliance: health care relationships in chronic illness. J Nurs Scholarship. 1989;21(3):153–157. doi:10.1111/j.1547-5069.1989.tb00122.x
   Google Scholar
• Richins ML. Word of Mouth Communication as Negative Information. ACR North American Advances; 1984.
   Google Scholar
• Zhu N, Lu HJ, Chang L. Trust as social investment: a life-history model of environmental effects on ingroup and outgroup trust. Pers Individ Dif. 2021;168:110303. doi:10.1016/j.paid.2020.110303
   Web of Science ®Google Scholar
• Gilson L. Trust and the development of health care as a social institution. Soc Sci Med. 2003;56:1453–1468. doi:10.1016/S0277-9536(02)00142-9
   PubMed Web of Science ®Google Scholar
• Davis. FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 1989;13(3):319–340. doi:10.2307/249008
   Web of Science ®Google Scholar
• Breckler. SJ. Empirical validation of affect, Behavior, and cognition as distinct components of attitude. J Personality Soc Psychol. 1984;47(06):1191–1205. doi:10.1037/0022-3514.47.6.1191
   PubMed Web of Science ®Google Scholar
• Biswas B, Sengupta P, Chatterjee D. Examining the determinants of the count of customer reviews in peer-to-peer home-sharing platforms using clustering and count regression techniques. Decis Support Syst. 2020;135:113324. doi:10.1016/j.dss.2020.113324
   Web of Science ®Google Scholar
• Bansal HS, Voyer PA. Word-of-mouth processes within a services purchase decision context. J Serv Res. 2000;3(2):166–177. doi:10.1177/109467050032005
   Google Scholar
• Smith DN. Trust Me, Would I Steer You Wrong? The Influence of Peer Recommendations Within Virtual Communities. University of Illinois at Chicago; 2002.
   Google Scholar
• Wang T, Li Y. The influence of recommender characteristics on recommendation effect in virtual community. J Business Econ. 2007;(11):50–55+80.
   Google Scholar
• Lin X. An empirical study on the factors influencing the credibility of online word of mouth. Finance Trade Res. 2007;28:5.
   Google Scholar
• Jidong B. Research on the Influence of Negative Internet Word of Mouth on Consumers’ Behavior Intention. Shandong University; 2010.
   Google Scholar
• Xiufang C. Research on the Influence of Online Word-Of-Mouth in Virtual Community on Consumers’ Decision-Making Behavior. China university of mining and technology; 2011.
   Google Scholar
• Shiota MN, Campos B, Keltner D, Hertenstein MJ. Positive emotion and the regulation of interpersonal relationships. Reg Emotion. 2004:68.
   Google Scholar
• Dunn JR, Schweitzer ME. Feeling and believing: the influence of emotion on trust. J Pers Soc Psychol. 2005;88(5):736–748. doi:10.1037/0022-3514.88.5.736
   PubMed Web of Science ®Google Scholar
• Qiu L, Zheng X, Wang Y. Revision of PANAS. Appl Psychol. 2008;14(03):249–254+268.
   Google Scholar
• Watson D, Wiese D, Vaidya J, et al. The two general activation systems of affect: structural findings, evolutionary considerations, and psychobiological evidence. J Personality Soc Psychol. 1999;76(5):820–838. doi:10.1037/0022-3514.76.5.820
   Web of Science ®Google Scholar
• Drążkowski D, Kaczmarek LD, Kashdan TB. Gratitude pays: a weekly gratitude intervention influences monetary decisions, physiological responses, and emotional experiences during a trust-related social interaction. Pers Individ Dif. 2017;110:148–153. doi:10.1016/j.paid.2017.01.043
   Web of Science ®Google Scholar
• Wang Y, Xie G. The relationship between emotional intelligence, self-leadership and stress coping style of college students: the mediating effect of positive emotion and self-efficacy. Chin J Clin Psychol. 2016;24(03):558–560+565.
   Google Scholar
• Zhanjun X. Research on the relationship between residents’ income and happiness in China. Sociol Res. 2011;25(01):196–219+245-246.
   Google Scholar
• Hao Y. Residents’ income and happiness: an empirical analysis based on housing adjustment effect. New Econ. 2020;(11):86–94.
   Google Scholar
• Chao L, Zan Z. Research on the development path of “sharing economy” in China: taking online short rent as an example. Modern Manage Sci. 2014;(10):36–38.
   Google Scholar
• Wang J. Research on development status, problems and countermeasures of long-term rental apartment industry. Housing Real Estate. 2016;33:237+240.
   Google Scholar
• Wu S, Zhu J. The influence mechanism of online shopping experience quality on consumers’ Behavior intention-the construction of conceptual model and hypothesis. Jianghuai Forum. 2015;03:48–53.
   Google Scholar
• Junfeng C. Empirical Study on Influencing Factors of Household Satisfaction of Commercial Housing —— Taking Nanjing Urban Area as an Example [D]. Nanjing: Nanjing Forestry University; 2010.
   Google Scholar
• Guiwen L, Yunsheng Z, Pengpeng X. Comprehensive evaluation of household satisfaction of public rental housing. Architectural Econ. 2013;(09):79–83.
   Google Scholar
• Gefen (2002):The Relative Importance of Perceived Ease of Use in IS Adoption: AStudy of E-commerce Adoption
   Google Scholar
• Lee MK, Turban E. A trust model for consumer internet shopping. Int J Electronic Commerce. 2001;6(1):75–91. doi:10.1080/10864415.2001.11044227
   Web of Science ®Google Scholar
• Brown TJ, Barry TE, Dacin PA, Gunst RF. Spreading the word: investigating antecedents of consumers’ positive word-of-mouth intentions and behaviors in a retailing context. J Acad Marketing Sci. 2005;33(2):123–138. doi:10.1177/0092070304268417
   Web of Science ®Google Scholar
• Sun T, Youn S, Wu G, Kuntaraporn M. Online word-of-mouth (or mouse): an exploration of its antecedents and consequences. J Comp Med Commun. 2006;11(4):1104–1127. doi:10.1111/j.1083-6101.2006.00310.x
   Web of Science ®Google Scholar
• Taylor S, Todd P. Assessing IT usage: the role of prior experience. MIS Quarterly. 1995;19(4):561–570. doi:10.2307/249633
   Web of Science ®Google Scholar
• Liping C, Ziqiang X, Liping C. The relationship between happiness and social support. J Psychol. 2001;05:442–447.
   Google Scholar
• Diener E, Emmons RA, Larsen RJ, Griffin S. The satisfaction with life scale. J Pers Assess. 1985;49(1):71–75. doi:10.1207/s15327752jpa4901_13
   PubMed Web of Science ®Google Scholar
• Frenzen JK, David HL. Purchasing behavior in embedded markets. J Consumer Res. 1990;17(1):1~12. doi:10.1086/208532
   Web of Science ®Google Scholar
• Gilly MC, Graham JL, Wolfinbarger MF, Yale LJ. A dyadic study of interpersonal information search. J Acad Marketing Sci. 1998;26(2):83–100. doi:10.1177/0092070398262001
   Web of Science ®Google Scholar
• Hair JF, Ringle CM, Sarstedt M. PLS‐SEM: indeed a silver bullet. J Marketing Theory Pract. 2011;19(2):139–152. doi:10.2753/MTP1069-6679190202
   Google Scholar
• Kock N, Hadaya P. Minimum sample size estimation in PLS‐SEM: the inverse square root and gamma‐exponential methods. Inf Syst J. 2018;28(1):227–261. doi:10.1111/isj.12131
   Web of Science ®Google Scholar
• Yang C. Introduction to Research Methods of Mass Communication. 2nd ed. Beijing: Renmin University of China Press; 2015:91.
   Google Scholar
• Zhang X, Yu X. The impact of perceived risk on consumers’ cross-platform buying behavior. Front Psychol. 2020;11:2835. doi:10.3389/fpsyg.2020.592246
   Web of Science ®Google Scholar
• Li R. Empirical Research on the Influence of Cross-Border E-Commerce Credit Evaluation on Consumers’ Online Purchase Decision. Beijing University of Posts and Telecommunications; 2018:26.
   Google Scholar
• Preacher KJ, Hayes AF. Contemporary approaches to assessing mediation in communication research. In: Hayes AF, Slater MD, Synder LB, editors. The Sage Sourcebook of Advanced Data Analysis Methods for Communication Research. Thousand Oaks, CA: Sage; 2008:13–54.
   Google Scholar
• Anderson CL, Agarwal R. The digitization of healthcare: boundary risks, emotion, and consumer willingness to disclose personal health information. Inf Syst Res. 2011;22(3):469–490. doi:10.1287/isre.1100.0335
   Web of Science ®Google Scholar
• Bonanno GA, Keltner D, Noll JG, et al. When the face reveals what words do not: facial expressions of emotion, smiling, and the willingness to disclose childhood sexual abuse. J Personality Soc Psychol. 2002;83(1):94. doi:10.1037/0022-3514.83.1.94
   PubMed Web of Science ®Google Scholar
• Burns KC, Isbell LM, Tyler JM. Suppressing emotions toward stereotyped targets: the impact on willingness to engage in contact. Soc Cogn. 2008;26(3):276–287. doi:10.1521/soco.2008.26.3.276
   Web of Science ®Google Scholar
• Graham SM, Huang JY, Clark MS, Helgeson VS. The positives of negative emotions: willingness to express negative emotions promotes relationships. Pers Soc Psychol Bull. 2008;34(3):394–406. doi:10.1177/0146167207311281
   PubMed Web of Science ®Google Scholar
• Von Culin KR, Hirsch JL, Clark MS. Willingness to express emotion depends upon perceiving partner care. Cogn Emot. 2018;32(3):641–650. doi:10.1080/02699931.2017.1331906
   PubMed Web of Science ®Google Scholar
• Clark MS, Finkel EJ. Willingness to express emotion: the impact of relationship type, communal orientation, and their interaction. Pers Relatsh. 2005;12(2):169–180. doi:10.1111/j.1350-4126.2005.00109.x
   Web of Science ®Google Scholar
• Wiese J, Kelley PG, Cranor LF, Dabbish L, Hong JI, Zimmerman J (2011). Are you close with me? Are you nearby? Investigating social groups, closeness, and willingness to share. In Proceedings of the 13th international conference on Ubiquitous computing (pp. 197–206).
   Google Scholar
• Setterstrom AJ, Pearson JM. Social influence and willingness to pay for massively multiplayer online games: an empirical examination of social identity theory. Commun Assoc Inf Syst. 2019;44(1):2. doi:10.17705/1CAIS.04402
   Web of Science ®Google Scholar
• Aboulnasr K, Tran GA. Is love really blind? The effect of emotional brand attachment on the perceived risk of really new products. J Prod Brand Manage. 2019;29(1):81–96. doi:10.1108/JPBM-09-2018-2005
   Web of Science ®Google Scholar
• Evans MM, Frissen I, Choo CW. The strength of trust over ties: investigating the relationships between trustworthiness and tie-strength in effective knowledge sharing. Electronic J Knowledge Manage. 2019;17:1.
   Google Scholar
• Matsui T, Yamada S. Designing trustworthy product recommendation virtual agents operating positive emotion and having copious amount of knowledge. Front Psychol. 2019;10:675. doi:10.3389/fpsyg.2019.00675
   PubMed Web of Science ®Google Scholar
• Mangus SM, Bock DE, Jones E, Folse JAG. Examining the effects of mutual information sharing and relationship empathy: a social penetration theory perspective. J Bus Res. 2020;109:375–384. doi:10.1016/j.jbusres.2019.12.019
   Web of Science ®Google Scholar
• Song H, Wang J, Han H. Effect of image, satisfaction, trust, love, and respect on loyalty formation for name-brand coffee shops. Int J Hosp Manage. 2019;79:50–59. doi:10.1016/j.ijhm.2018.12.011
   Web of Science ®Google Scholar
• Druta O, Ronald R. Living alone together in Tokyo share houses. Soc Cultural Geography. 2020;1–18. doi:10.1080/14649365.2020.1744704
   Web of Science ®Google Scholar
• Biswas B, Mukhopadhyay A. G-RAM framework for software risk assessment and mitigation strategies in organisations. J Enterprise Inf Manage. 2018;31(2):276–299. doi:10.1108/JEIM-05-2017-0069
   Web of Science ®Google Scholar
• Kumar S, Biswas B, Bhatia MS, Dora M. Antecedents for enhanced level of cyber-security in organisations. J Enterprise Inf Manage. 2020. doi:10.1108/JEIM-06-2020-0240
   Web of Science ®Google Scholar