How Emotional Interaction Affects Purchase Intention in Social Commerce: The Role of Perceived Usefulness and Product Type

References

• Alalwan AA, Algharabat RS, Baabd Lee AM, et al. Examining the impact of social commerce dimensions on customers’ value cocreation: the mediating effect of social trust. J Consum Behav. 2019;18:431–446. doi:10.1002/cb.1782
   Web of Science ®Google Scholar
• Gruzd A, Wellman B, Takhteyev Y. Imagining Twitter as an imagined community. Am Behav Sci. 2011;55(10):1294–1318. doi:10.1177/0002764211409378
   Web of Science ®Google Scholar
• Liang TP, Turban E. Introduction to the special issue social commerce: a research framework for social commerce. Int J Electron Commer. 2011;16(2):5–13. doi:10.2753/JEC1086-4415160201
   Web of Science ®Google Scholar
• Tang J, Zhang B. User willingness to purchase applications on mobile intelligent devices: evidence from app store. Asia Pac J Market Logist. 2019;6:411–432. doi:10.1108/APJML-06-2019-0411
   Web of Science ®Google Scholar
• Wang YC, Yu CH. Social interaction-based consumer decision-making model in social commerce: the role of word of mouth and observational learning. Int J Inf Manage. 2017;37(3):179–189. doi:10.1016/j.ijinfomgt.2015.11.005
   Web of Science ®Google Scholar
• Jin C. The perspective of a revised TRAM on social capital building: the case of Facebook usage. Inf Manage. 2013;50(4):162–168. doi:10.1016/j.im.2013.03.002
   Web of Science ®Google Scholar
• Shen YC, Huang CY, Chu CH, Liao HC. Virtual community loyalty: an interpersonal interaction perspective. Int J Electron Commer. 2010;15(1):49–74. doi:10.2753/JEC1086-4415150102
   Web of Science ®Google Scholar
• Ng CSP. Intention to purchase on social commerce websites across cultures: a cross-regional study. Inf Manage. 2013;50(8):609–620. doi:10.1016/j.im.2013.08.002
   Web of Science ®Google Scholar
• Lee Y, Kwon O. Intimacy, familiarity and continuance intention: an extended expectation–confirmation model in web-based services. Electron Commer Res Appl. 2011;10(3):342–357. doi:10.1016/j.elerap.2010.11.00
   Web of Science ®Google Scholar
• Curty RG, Zhang P. Social commerce: looking back and forward. Proceed Am Soc Inf Sci Technol. 2012;48(1):1–10.
   Google Scholar
• Anderson M, Sims J, Price J, et al. Turning Like to Buy Social Media Emerges as a Commerce Channel. Chicago: Booz & Company Incorporated; 2011.
   Google Scholar
• Wan LY, Zhang JW Research on the influence of friend circle advertisement on consumers’ purchase intention-based on technology acceptance model theory. 2019 International Conference on Modern Education and Economic Management 2019.
   Google Scholar
• Xu J, Schwarz N. Do we really need a reason to indulge? J Mark Res. 2009;46(1):25–36. doi:10.1509/jmkr.46.1.25
   Web of Science ®Google Scholar
• Hsu CL, Yu LC, Chang KC. Exploring the effects of online customer reviews, regulatory focus, and product type on purchase intention: perceived justice as a moderator. Comput Hum Behav. 2017;69:335–346. doi:10.1016/j.chb.2016.12.056
   Web of Science ®Google Scholar
• Danny W, Scott DS, Varun G. Can online product reviews be more helpful? Examining characteristics of information content by product type. Decis Support Syst. 2015;79:12–23. doi:10.1016/j.dss.2015.07.009
   Web of Science ®Google Scholar
• Lee EJ, Shin SY. When do consumers buy online product reviews: effects of review quality, product type, and reviewer’s photo. Comput Hum Behav. 2014;31:356–366. doi:10.1016/j.chb.2013.10.050
   Web of Science ®Google Scholar
• Xin L, Song YX. Research on the influence of social business platform on the value co-creation behavior of users. J Commer Econ. 2019;24:59–63.
   Google Scholar
• Liu HF, Chu HL, Huang Q, Chen XY. Enhancing the flow experience of consumers in China through interpersonal interaction in social commerce. Comput Hum Behav. 2016;58:306–314. doi:10.1016/j.chb.2016.01.012CO
   Web of Science ®Google Scholar
• Huang Z, Benyoucef M. From e-commerce to social commerce: a close look at design features. Electronic Commer Res Appli. 2013;12(3):246–259. doi:10.1016/j.elerap.2012.12.003
   Web of Science ®Google Scholar
• Rad A, Benyoucef M. A model for understanding social commerce. J Inf Syst Appl Res. 2011;4(2):63–73.
   Google Scholar
• Zhang H, Lu Y, Gupta S, Zhao L. What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences. Inf Manage. 2014;51(8):1017–1030. doi:10.1016/j.im.2014.07.005
   Web of Science ®Google Scholar
• Busalim AH, Hussin ARC. Understanding social commerce: a systematic literature review and directions for further research. Int J Inf Manage. 2016;36(6):1075–1088. doi:10.1016/j.ijinfomgt.2016.06.005
   Web of Science ®Google Scholar
• Hajli MN. Social commerce for innovation. Int J Innov Manage. 2014;18(4):1–24. doi:10.1142/S1363919614500248
   Google Scholar
• Fu SH, Xu Y, Yan Q. Enhancing the parasocial interaction relationship between consumers throughs similarity effects in the context of social commerce evidence from social commerce platforms in China. J Strategic Market. 2019;27(2):100–118. doi:10.1080/0965254X.2017.1384045
   Web of Science ®Google Scholar
• Esmaeili L, Golpayegani AH. Conformance checking of the activity network with the social relationships structure in the context of social commerce. J Theor Appl Electron Commer Res. 2019;11:93–121. doi:10.4067/S0718-18762020000200107
   Web of Science ®Google Scholar
• Wang HW, Meng Y, Wang W. The role of perceived interactivity in virtual communities: building trust and increasing stickiness. Connect Sci. 2013;19(6):1261–1271. doi:10.4067/S0718-18762020000200107
   Web of Science ®Google Scholar
• Hoffman DL, Novak TP. Marketing in hypermedia mediated environments: conceptual foundations. J Mark. 1997;60(3):50–68. doi:10.1177/002224299606000304
   Web of Science ®Google Scholar
• Brito PQ, Torres S, Fernandes J. What kind of emotions do emoticons communicate? Asia Pac J Market Logist. 2019;3:28–59.
   Google Scholar
• Ren XM. Research on the relationship between user interaction, emotional attachment and user stickiness-analysis based on attachment decision theory and emotional mechanism [in Chinese]. J Yanshan Univ. 2018;19(3):88–96.
   Google Scholar
• Gefen D. E-commerce: the role of familiarity and trust. Omega-Int J Manage Sci. 2000;28(6):725–737. doi:10.1016/S0305-0483(00)00021-9
   Web of Science ®Google Scholar
• Komiak XS, Benbasat I. The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Q. 2006;30(4):941–960. doi:10.2307/25148760
   Web of Science ®Google Scholar
• Hinds PJ, Carley KM, Krackhardt D, Wholey D. Choosing work group members: balancing similarity, competence, and familiarity. Organ Behav Hum Decis Process. 2000;81(2):226–251. doi:10.1006/obhd.1999.2875
   PubMed Web of Science ®Google Scholar
• Colombo RA, Morrison DG. A brand switching model with implications for marketing strategies. Mark Sci. 1989;8:89–99. doi:10.1287/mksc.8.1.89
   Web of Science ®Google Scholar
• Raj SP. Striking a balance between brand ‘popularity’ and brand loyalty. J Mark. 1985;49:53–59.
   Web of Science ®Google Scholar
• Soerlund M. Customer familiarity and its effects on satisfaction and behavioral intentions. Psychol Mark. 2002;19(10):861–880. doi:10.1002/mar.10041
   Web of Science ®Google Scholar
• Grayson K, Ambler T. The dark side of long-term relationships in marketing services. J Mark Res. 1999;36(1):132–141. doi:10.2307/3151921
   Web of Science ®Google Scholar
• Brock JKU, Zhou JY. Customer intimacy. J Bus Ind Mark. 2012;27(5):370–383. doi:10.1108/08858621211236043
   Web of Science ®Google Scholar
• Lee KH, Ullah S. Customers’ attitude toward Islamic banking in Pakistan. Int J Islamic Middle Eastern Finance Manage. 2011;4(2):131–145. doi:10.1108/17538391111144524
   Google Scholar
• Verhoef PC, Francis PH, Hoekstra JC. The effect of relational constructs on customer referrals and number of services purchased from multiservice provider: does age of relationship matter? J Acad Mark Sci. 2002;30(3):202–212. doi:10.1177/0092070302303002
   Web of Science ®Google Scholar
• Horng SM, Wu CL. How behaviors on social network sites and online social capital influence social commerce intentions. Inf Manage. 2020;57(4):1–13. doi:10.1016/j.im.2019.103176
   Web of Science ®Google Scholar
• Park MS, Shin JK, Ju Y. The effect of online social network characteristics on consumer purchasing intention of social deals. Global Econ Rev. 2014;43(1):25–41. doi:10.1080/1226508X.2014.884047
   Web of Science ®Google Scholar
• Davis FD. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q. 1989;13:319–340. doi:10.2307/249008
   Web of Science ®Google Scholar
• Bhattacherjee A. Understanding information systems continuance: an expectation-confirmation model. MIS Q. 2001;25(3):351–370. doi:10.2307/3250921
   Web of Science ®Google Scholar
• Kirchhoff S. Green business and blue angels: a model of voluntary overcompliance with asymmetric information. Environ Resour Econo. 2000;15(4):403–420. doi:10.1023/A:1008303614250
   Web of Science ®Google Scholar
• Cohen M, Vandenbergh M. The potential role of carbon labeling in a green economy. Energy Econ. 2012;34(1):53–63. doi:10.1016/j.eneco.2012.08.032
   Web of Science ®Google Scholar
• Cho YC. Exploring factors that affect usefulness, ease of use, trust, and purchase intention in the online environment. Int J Manage Inf Syst. 2015;19(1):21–35.
   Google Scholar
• Jamal A, Sharifuddin J. Perceived value and perceived usefulness of halal labeling: the role of religion and culture. J Bus Res. 2015;68(5):933–941. doi:10.1016/j.jbusres.2014.09.020
   Web of Science ®Google Scholar
• Osburg VS, Yoganathan V, Brueckner S, Toporowski W. How detailed product information strengthens eco-friendly consumption. Manage Decis. 2020;58(6):108–1099. doi:10.1016/j.jbusres.2014.09.020
   Web of Science ®Google Scholar
• Shina J, Parkb Y, Lee D. Who will be smart home users? An analysis of adoption and diffusion of smart homes. Technol Forecast Soc Change. 2018;134:246–253. doi:10.1016/j.techfore.2018.06.029
   Web of Science ®Google Scholar
• Moslehpour M, Pham VK, Wong WK, Bilgiçli I. e-Purchase intention of Taiwanese consumers: sustainable mediation of perceived usefulness and perceived ease of use. Sustainability. 2018;10(1):234–255. doi:10.3390/su10010234
   Web of Science ®Google Scholar
• Zhang TT, Wang WC, Cao L, Wang Y. The role of virtual try-on technology in online purchase decision from consumers’ aspect. Internet Res. 2019;29(3):529–551. doi:10.1108/IntR-12-2017-0540
   Web of Science ®Google Scholar
• Abdulaziz E, Kevin L. Perceived derived attributes of online customer reviews. Comput Hum Behav. 2016;56:306–319. doi:10.1016/j.chb.2015.11.051
   Web of Science ®Google Scholar
• Alireza G, Majid S, Mahdieh R. The impact of social capital and social interaction on customers’ purchase intention, considering knowledge sharing in social commerce context. J Innov Knowl. 2019;10(8):231–237. doi:10.1016/j.jik.2019.08.004
   Web of Science ®Google Scholar
• Zhao Y. Measuring the social capital of laid-off Chinese workers. Curr Sociol. 2002;50(4):555–571. doi:10.1177/0011392102050004005
   Google Scholar
• Chang HH, Fu CS, Jain HT. Modifying UTAUT and innovation diffusion theory to reveal online shopping behavior: familiarity and perceived risk as mediators. Inf Dev. 2016;32(5):1757–1773. doi:10.1177/0266666915623317
   Web of Science ®Google Scholar
• Choi CJ. User familiarity and satisfaction with food delivery mobile apps. Sage Open. 2020;10(4):1–10. doi:10.1177/2158244020970563
   Web of Science ®Google Scholar
• Tolstedt BE, Stokes JP. Relation of verbal, affective, and physical intimacy to marital satisfaction. J Couns Psychol. 1983;30:573–580. doi:10.1037/0022-0167.30.4.573
   Web of Science ®Google Scholar
• Lowenthal MF, Haven C. Interaction and adaptation: intimacy as a critical variable. Am Sociol Rev. 1968;33:20–30. doi:10.2307/2092237
   PubMed Web of Science ®Google Scholar
• Liang TP, Ho YT, Li YW, Turban E. What drives social commerce: the role of social support and relationship quality. Int J Electron Commer. 2011;1616:69–90. doi:10.2753/JEC1086-4415160204
   Web of Science ®Google Scholar
• Bronner F, Hoog RD. Consumer-generated versus marketer-generated websites in consumer decision making. Int J Mark Res. 2010;52(2):231–248. doi:10.2501/S1470785309201193
   Web of Science ®Google Scholar
• Lichtenthal JD, Tellefsen T. Toward a theory of business buyer-seller similarity. J Pers Selling Sales Manage. 2001;21(1):1–14.
   Google Scholar
• Nelson P. Information and consumer behavior. J Polit Econ. 1970;78(2):311–329. doi:10.1086/259630
   Web of Science ®Google Scholar
• Peterson RA, Balasubramanian S, Bronnenberg BJ. Exploring the implications of the internet for consumer marketing. J Acad Mark Sci. 1997;24(5):329–346. doi:10.1177/0092070397254005
   Web of Science ®Google Scholar
• Jimenez FR, Mendoza NA. Too popular to ignore: the influence of online reviews on purchase intentions of search and experience products. J Interact Mark. 2013;27(3):226–235. doi:10.1016/j.intmar.2013.04.004
   Web of Science ®Google Scholar
• Lu LC, Chang WP, Chang HH. Consumer attitudes toward blogger’s sponsored recommendations and purchase intention: the effect of sponsorship type, product type, and brand awareness. Comput Hum Behav. 2014;34:258–266. doi:10.1016/j.chb.2014.02.007
   Web of Science ®Google Scholar
• Huang P, Lurie NH, Mitra S. Searching for experience on the web: an empirical examination of consumer behavior for search and experience goods. J Mark. 2009;73(2):55–69. doi:10.1509/jmkg.73.2.55
   Web of Science ®Google Scholar
• Kim K, Lee S, Choi YK. Image proximity in advertising appeals: spatial distance and product types. J Bus Res. 2019;99:490–497. doi:10.1016/j.jbusres.2017.08.031
   Web of Science ®Google Scholar
• Mudambi SM, Schuff D. What makes a helpful online review? A study of customer reviews on Amazon. Commer MIS Q. 2010;34(1):185–200. doi:10.2307/20721420
   Web of Science ®Google Scholar
• Zafar AU, Qiu JN, Li Y, Wang JG, Shahzad M. The impact of social media celebrities’ posts and contextual interactions on impulse buying in social commerce. Comput Hum Behav. 2021. 115. doi:10.1016/j.chb.2019.106178
   Web of Science ®Google Scholar
• Xiang L, Zheng XB, Lee MKO, Zhao DT. Exploring consumers’ impulse buying behavior on social commerce platform: the role of parasocial interaction. Int J Inf Manage. 2016;3(36):333–347. doi:10.1016/j.ijinfomgt.2015.11.002
   Web of Science ®Google Scholar
• Cao YY, Li JJ, Qin XH, Hu BL. Examining the effect of overload on the mHealth application resistance behavior of elderly users: an SOR perspective. Int J Environ Res Public Health. 2020;18(17):. doi:10.3390/ijerph17186658
   PubMed Web of Science ®Google Scholar
• Zafar AU, Qiu JN, Shahzad M, Shen J, Bhutto TA, Irfan M. Impulse buying in social commerce: bundle offer, top reviews, and emotional intelligence. Asia Pac J Market Logist. 2020. doi:10.1108/APJML-08-2019-0495
   Web of Science ®Google Scholar
• Hajli N. Social commerce constructs and consumer’s intention to buy. Int J Inf Manage. 2015;2(35):183–191. doi:10.1016/j.ijinfomgt.2014.12.005
   Web of Science ®Google Scholar
• Kozinets RV. The field behind the screen: using the method of netnography to research market-oriented virtual communities. J Consum Res. 2000;1(39):61–72.
   Google Scholar
• Zhu B, Kowatthanakul S, Satanasavapak P. Generation Y consumer online repurchase intention in Bangkok based on stimulus-organism-response (SOR) model. Int J Retail Distribut Manage. 2019;1(48):53–69. doi:10.1108/IJRDM-04-2018-0071
   Web of Science ®Google Scholar
• Mehrabian A, Russell JA. An Approach to Environmental Psychology. Cambridge, MA: The MIT Press; 1974.
   Google Scholar
• Sherman E, Mathur A, Smith RB. Store environment and consumer purchase behavior: mediating role of consumer emotions. Psychol Mark. 1997;4(14):361–378. doi:10.1002/(SICI)1520-6793(199707)14:4<361::AID-MAR4>3.0.CO;2-7
   Web of Science ®Google Scholar
• Podsakoff PM, MacKenzie SB, Lee JY, 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
• Rasch D. Statistics in Psychology Using R and SPSS. John Wiley & Sons Incorporation Press; 2011.
   Google Scholar
• Pei NN. Introduction to Educational Research Methods. Anhui Education Press; 1995.
   Google Scholar
• Frenzen J, Nakamoto K. Structure, cooperation, and the flow of market information. J Consum Res. 1993;20:360–375. doi:10.1086/209355
   Web of Science ®Google Scholar
• Gilly MC, Graham JL, Wolfinbarger MF, Yale LJ. A dyadic study of interpersonal information search. J Acad Mark Sci. 1998;26(2):83–100. doi:10.1177/0092070398262001
   Web of Science ®Google Scholar
• Park C, Lee TM. Antecedents of online reviews’ usage and purchase influence: an empirical comparison of US and Korean consumers. J Interact Mark. 2009;23(4):332–340. doi:10.1016/j.intmar.2009.07.001
   Web of Science ®Google Scholar
• Zhang Y. Responses to humorous advertising: the moderating effect of need for cognition. J Advert. 1996;25:15–32. doi:10.1080/00913367.1996.10673493
   Web of Science ®Google Scholar
• Lowry PB, Gaskin J. Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: when to choose it and how to use it. IEEE Trans Prof Commun. 2014;57(2):123–146. doi:10.1109/TPC.2014.2312452
   Web of Science ®Google Scholar
• Williams LJ, Edwards JR, Vandenberg RJ. Recent advances in causal modeling methods for organizational and management research. J Manage. 2003;29(6):903–936. doi:10.1016/S0149-2063(03)00084-9
   Web of Science ®Google Scholar
• Nunnally J. Psychometric Theory. New York, NY: McGraw-Hill; 1978.
   Google Scholar
• Hair JF, Hult GTM, Ringle CM, Sarstedt M. A primer on partial least squares structural equation modeling. In: Long Range Planning. 2nd ed. Sage Publication; 2017.
   Google Scholar
• Latan H. PLS path modeling in hospitality and tourism research: the golden age and days of future past. In: Ali F, Rasoolimanesh MS, Cobanoglu C, editors. Application of Partial Least Squares – Structural Equation Modeling (PLS-SEM) in Tourism and Hospitality Research. Bingley: Emerald; 2018.
   Google Scholar
• Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acad Mark Sci. 2015;43(1):115–135. doi:10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Kline RB. Principles and Practice of Structural Equation Modeling. 2nd ed. New York: Fuilford; 2005.
   Google Scholar
• Byrne BM. Structural Equation Modeling with AMOS (Multivariate Applications Series). Routledge; 2010.
   Google Scholar
• Bentler RA. Effectiveness of directional microphones and noise reduction schemes in hearing aids: a systematic review of the evidence. J Am Acad Audiol. 2005;16(7):473–484. doi:10.3766/jaaa.16.7.7
   PubMedGoogle Scholar
• Chan W, Yung YF, Bentler PM. Tests of independence for ordinal data using bootstrap. Educ Psychol Meas. 1998;58(2):221–240. doi:10.1177/0013164498058002006
   Web of Science ®Google Scholar
• West R, Stafford DA, Farrow A, Jacobs A. Occupational and environmental exposures and myelodysplasia: a case-control study. Leuk Res. 1995;19:127–139. doi:10.1016/0145-2126(94)00141-V
   PubMed Web of Science ®Google Scholar
• Enders CK. Applying the Bollen-Stine Bootstrap for goodness-of-fit measures to structural equation models with missing data. Multivariate Behav Res. 2002;37(3):359–377. doi:10.1207/S15327906MBR3703_3
   PubMed Web of Science ®Google Scholar
• Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Method. 2008;40(3):879–891. doi:10.3758/BRM.40.3.879
   PubMed Web of Science ®Google Scholar
• Wang CJ, Tsai HT, Tsai MT. Linking transformational leadership and employee creativity in the hospitality industry: the influences of creative role identity, creative self-efficacy, and job complexity. Tourism Manage. 2014;(40):79–89. doi:10.1016/j.tourman.2013.05.008
   Web of Science ®Google Scholar