Consumers’ acceptance of social commerce during COVID-19 lockdown
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초록
The COVID-19 pandemic changed everything, especially marketing, leading to increased digital usage. Social media allows faster connectivity among people and gives marketers new pathways to engage with consumers. The lockdown dramatically reduced economic activity by numbers that are worth understanding. This study examines the numerous aspects contributing to the consumer’s favorable opinions toward their social commerce intents and behavior during the COVID-19 pandemic. Using SEM, the data examination of 297 respondents established that applying the social support theory and the unified theory of acceptance and use of technology (UTAUT) model to the proposed theoretical framework is significantly associated with social commerce intentions. The results state that all the direct hypotheses have been supported, confirming that social support, performance expectancy, effort expectancy, offline subjective norms, and online subjective norms are significantly associated with social commerce intentions. The results also indicated that Information Technology Infrastructure (ITI) moderated social support, performance expectancy, effort expectancy, and online subjective norms.
Abstract
The COVID-19 pandemic changed everything, especially marketing, leading to increased digital usage. Social media allows faster connectivity among people and gives marketers new pathways to engage with consumers. The lockdown dramatically reduced economic activity by numbers that are worth understanding. This study examines the numerous aspects contributing to the consumer’s favorable opinions toward their social commerce intents and behavior during the COVID-19 pandemic. Using SEM, the data examination of 297 respondents established that applying the social support theory and the unified theory of acceptance and use of technology (UTAUT) model to the proposed theoretical framework is significantly associated with social commerce intentions. The results state that all the direct hypotheses have been supported, confirming that social support, performance expectancy, effort expectancy, offline subjective norms, and online subjective norms are significantly associated with social commerce intentions. The results also indicated that Information Technology Infrastructure (ITI) moderated social support, performance expectancy, effort expectancy, and online subjective norms.
참고문헌 (76)
- Adjei, M. T., "The influence of C2C communications in online brand communities on customer purchase behavior", Journal of the Academy of Marketing Science, 38(5), pp.634~653 (2010)[DOI]
- Agnihotri, R., "Bringing"Social"into Sales : The Impact of Salespeople’S Social Media Use on Service Behaviors and Value Creation", Journal of Personal Selling & Sales Management, 32(3), pp.333~348 (2012)[DOI]
- Ajzen, I., "Understanding attitudes and predicting social behaviour" (1980)
- Andrews, L., "Consumer internet purchasing behavior in Chile", Journal of Business Research, 66(10), pp.1791~1799 (2013)[DOI]
- Chen, Y., "Third-party product review and firm marketing strategy", Marketing Science, 24(2), pp.218~240 (2005)[DOI]
- Choi, J., "A cross-cultural investigation of consumer e-shopping adoption", Journal of Economic Psychology, 25(6), pp.821~838 (2004)[DOI]
- Clemes, M. D., "An empirical analysis of online shopping adoption in Beijing, China", Journal of Retailing and Consumer Services, 21(3), pp.364~375 (2014)[DOI]
- Coulson, N. S., "Receiving social support online : An analysis of a computer-mediated support group for individuals living with irritable bowel syndrome", CyberPsychology & Behavior, 8(6), pp.580~584 (2005)[DOI]
- Crocker, J., "Creating and undermining social support in communal relationships : The role of compassionate and self-image goals", Journal of Personality and Social Psychology, 95(3), pp.555~ (2008)[DOI]
- Curtis, L., "Adoption of social media for public relations by nonprofit organizations", Public Relations Review, 36(1), pp.90~92 (2010)[DOI]
- Duncan, N. B., "Capturing flexibility of information technology infrastructure : A study of resource characteristics and their measure", Journal of Management Information Systems, 12(2), pp.37~57 (1995)[DOI]
- Escobar-Rodríguez, T., "Online drivers of consumer purchase of website airline tickets", Journal of Air Transport Management, 32, pp.58~64 (2013)[DOI]
- Escobar-Rodríguez, T., "Online purchasing tickets for low cost carriers : An application of the unified theory of acceptance and use of technology(UTAUT)model", Tourism Management, 43, pp.70~88 (2014)[DOI]
- Fishbein, M., "Belief, attitude, intention and behavior: An introduction to theory and research" (1975)
- Fitzgerald, L., "The influence of social communication networks on intentions to purchase on the web", International Journal of Internet Marketing and Advertising, 1(2), pp.137~154 (2004)[DOI]
- Fornell, C., "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, 18(1), pp.39~50 (1981)[DOI]
- Gong, W., "National culture and global diffusion of business-to-consumer e-commerce", Cross Cultural Management : An International Journal, 16(1), pp.83~101 (2009)[DOI]
- Gruzd, A., "Imagining twitter as an imagined community", The American Behavioral Scientist, 55(10), pp.1294~1318 (2011)[DOI]
- Guthrie, C., "Online consumer resilience during a pandemic : An exploratory study of e-commerce behavior before, during and after a COVID-19 lockdown", Journal of Retailing and Consumer Services, 61, pp.102570~ (2021)[DOI]
- Hair, J. F., "multivariate data analysis" (1998), Prentice Hall
- Hajli, M., "An integrated model for E-commerce adoption at the customer level with the impact of social commerce", International Journal of Information Science and Management (2012)[DOI]
- Hajli, M. N., "The role of social support on relationship quality and social commerce", Technological Forecasting and Social Change, 87, pp.17~27 (2014)[DOI]
- Hajli, N., "A study on the continuance participation in online communities with social commerce perspective", Technological Forecasting and Social Change, 96, pp.232~241 (2015)[DOI]
- Hajli, N., "Social commerce : The transfer of power from sellers to buyers", Technological Forecasting and Social Change, 94(0), pp.350~358 (2015)[DOI]
- Hajli, N., "A social commerce investigation of the role of trust in a social networking site on purchase intentions", Journal of Business Research, 71, pp.133~141 (2017)[DOI]
- Hassanein, K., "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of Human-Computer Studies, 65(8), pp.689~708 (2007)[DOI]
- Henseler, J., "New challenges to international marketing 20", pp.277~319 (2009), Emerald Group Publishing Limited
- Hollebeek, L., "Service innovativeness and tourism customer outcomes", International Journal of Contemporary Hospitality Management, 31(11), pp.4227~4246 (2019)[DOI]
- Huang, J., "Reconceptualizing rhetorical practices in organizations : The impact of social media on internal communications", Information & Management, 50(2), pp.112~124 (2013)[DOI]
- Huang, Z., "From e-commerce to social commerce : A close look at design features", Electronic Commerce Research and Applications, 12(4), pp.246~259 (2013)[DOI]
- Huang, Z., "User preferences of social features on social commerce websites : An empirical study", Technological Forecasting and Social Change, 95, pp.57~72 (2015)[DOI]
- Im, I., "An international comparison of technology adoption : Testing the UTAUT model", Information & Management, 48(1), pp.1~8 (2011)[DOI]
- Islam, T., "The impact of self-congruity (symbolic and functional) on the brand hate: A study based on self-congruity theory", British Food Journal (2018)[DOI]
- Islam Tahir, "Does CSR influence sustained competitive advantage and behavioral outcomes? An empirical study in the hospitality sector", Journal of Global Scholars of Marketing Science(마케팅과학연구), 33(1), pp.107~132 (2023), 한국마케팅과학회[DOI]
- Islam, T., "Determinants of compulsive buying behavior among young adults: The mediating role of materialism", Journal of Adolescence, 61(Supplement C), pp.117~130 (2017)[DOI]
- Khan, I. U., "Understanding online banking adoption in a developing country : UTAUT2 with cultural moderators", Journal of Global Information Management(JGIM), 25(1), pp.43~65 (2017)[DOI]
- Khan, I. U., "Exploring the effects of culture on acceptance of online banking : A comparative study of Pakistan and turkey by using the extended UTAUT model", Journal of Internet Commerce, 21(2), pp.183~216 (2022)[DOI]
- Lakey, B., "Social Support Measurement and Intervention: A Guide for Health and Social Scientists", pp.29~52 (2000)
- Lee, M. K. O., "Consumer’s decision to shop online : The moderating role of positive informational social influence", Information & Management, 48(6), pp.185~191 (2011)[DOI]
- Liang, T. -P., "What drives social commerce : The role of social support and relationship quality", International Journal of Electronic Commerce, 16(2), pp.69~90 (2011)[DOI]
- Liang, T. -P., "Introduction to the special issue social commerce : A research framework for social commerce", International Journal of Electronic Commerce, 16(2), pp.5~14 (2011)[DOI]
- Lian, J. -W., "Online shopping drivers and barriers for older adults : Age and gender differences", Computers in Human Behavior, 37, pp.133~143 (2014)[DOI]
- Liu, H., "Enhancing the flow experience of consumers in China through interpersonal interaction in social commerce", Computers in Human Behavior, 58, pp.306~314 (2016)[DOI]
- Lu, H. -P., "The influence of extro", introversion on the intention to pay for social networking sites, 2010, pp.47(3), 150~157
- Luo, Y., "Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic", International Journal of Hospitality Management, 94, pp.102849~ (2021)[DOI]
- Madjar, N., "Emotional and informational support from different sources and employee creativity", Journal of Occupational and Organizational Psychology, 81(1), pp.83~100 (2008)[DOI]
- Muratore, I., "Teenagers, blogs and socialization : A case study of young French bloggers", Young Consumers, 9(2), pp.131~142 (2008)[DOI]
- Naylor, R. W., "Beyond the"like"button : The impact of mere virtual presence on brand evaluations and purchase intentions in social media settings", Journal of Marketing, 76(6), pp.105~120 (2012)[DOI]
- Obst, P., "Online we are all able bodied : Online psychological sense of community and social support found through membership of disability-specific websites promotes well-being for people living with a physical disability", Journal of Community &Applied Social Psychology, 20(6), pp.525~531 (2010)[DOI]
- Offer, S., "Barriers to social support among low-income mothers", The International Journal of Sociology and Social Policy, 32(3, pp.4) (2012), 120~133
- Oliveira, T., "Extending the understanding of mobile banking adoption : When UTAUT meets TTF and ITM", International Journal of Information Management, 34(5), pp.689~703 (2014)[DOI]
- Park, N., "Being immersed in social networking environment : Facebook groups, uses and gratifications, and social outcomes", CyberPsychology & Behavior, 12(6), pp.729~733 (2009)[DOI]
- Podsakoff, P. M., "Common method biases in behavioral research : A critical review of the literature and recommended remedies", The Journal of Applied Psychology, 88(5), pp.879~ (2003)[DOI]
- Pongsakornrungsilp, S., "Understanding value co-creation in a co-consuming brand community", Marketing Theory, 11(3), pp.303~324 (2011)[DOI]
- Rasoolimanesh, S. M., "Investigating the mediating role of visitor satisfaction in the relationship between memorable tourism experiences and behavioral intentions in heritage tourism context", Tourism Review, 77(2), pp.687~709 (2022)[DOI]
- Rather, R. A., "Investigating the impact of customer brand identification on hospitality brand loyalty : A social identity perspective", Journal of Hospitality Marketing & Management, 27(5), pp.487~513 (2018)[DOI]
- Rather, R. A., "Monitoring the impacts of tourism-based social media, risk perception and fear on tourist’s attitude and revisiting behaviour in the wake of COVID-19 pandemic", Current Issues in Tourism, 24(23), pp.3275~3283 (2021)[DOI]
- Rather, R. A., "Exploring and validating social identification and social exchange-based drivers of hospitality customer loyalty", International Journal of Contemporary Hospitality Management, 31(3), pp.1432~1451 (2019)[DOI]
- Rather, R. A., "Customers’ service-related engagement, experience, and behavioral intent : Moderating role of age", Journal of Retailing and Consumer Services, 60, pp.102453~ (2021)[DOI]
- Riaz, M. U., "Consumers’purchase intention and decision-making process through social networking sites : A social commerce construct", Behaviour & Information Technology, 40(1), pp.99~115 (2021)[DOI]
- San Martín, H., "Influence of the user’s psychological factors on the online purchase intention in rural tourism : Integrating innovativeness to the UTAUT framework", Tourism Management, 33(2), pp.341~350 (2012)[DOI]
- Schaefer, C., "The health-related functions of social support", Journal of Behavioral Medicine, 4(4), pp.381~406 (1981)[DOI]
- Schaupp, L. C., "E-file adoption: A study of U.S. taxpayers’ intentions", Computers in Human Behavior, 26(4), pp.636~644 (2010)[DOI]
- Sheikh, Z., "Acceptance of social commerce framework in Saudi Arabia", Telematics and Informatics, 34(8), pp.1693~1708 (2017)[DOI]
- Sheikh, Z., "Impact of social commerce constructs and social support on social commerce intentions", Information Technology & People, 32(1), pp.68~93 (2019)[DOI]
- Shin, D. -H., "The effects of trust, security and privacy in social networking : A security-based approach to understand the pattern of adoption", Interacting with Computers, 22(5), pp.428~438 (2010)[DOI]
- Taylor, S. E., "Culture and social support : Who seeks it and why", Journal of Personality and Social Psychology, 87(3), pp.354~ (2004)[DOI]
- Terry Anthony Byrd, D. E. T., "Measuring the flexibility of information technology infrastructure : Exploratory analysis of a construct", Journal of Management Information Systems, 17(1), pp.167~208 (2000)
- Venkatesh, V., "User acceptance of information technology : Toward a unified view", MIS Quarterly, 27(3), pp.425~478 (2003)[DOI]
- Vijayasarathy, L. R., "Predicting consumer intentions to use online shopping : The case for an augmented technology acceptance model", Information & Management, 41(6), pp.747~762 (2004)[DOI]
- Wang, Y. -S., "Investigating the determinants and age and gender differences in the acceptance of mobile learning", British Journal of Educational Technology, 40(1), pp.92~118 (2009)[DOI]
- Wang, X., "Social media peer communication and impacts on purchase intentions : A consumer socialization framework", Journal of Interactive Marketing, 26(4), pp.198~208 (2012)[DOI]
- Wang, C., "The evolution of social commerce : The people, management, technology, and information dimensions", Communications of the Association for Information Systems, 31(5), pp.1~23 (2012)[DOI]
- Wymer, S. A., "Factors influencing e-commerce adoption and use by small and medium businesses", Electronic Markets, 15(4), pp.438~453 (2005)[DOI]
- Zhang, H., "qWhat motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences", Information & Management, 51(8), pp.1017~1030 (2014)[DOI]
- Zhou, T., "Integrating TTF and UTAUT to explain mobile banking useradoption", Computers in Human Behavior, 26(4), pp.760~767 (2010)[DOI]
