2,490
Views
0
CrossRef citations to date
0
Altmetric
MANAGEMENT

Explaining consumers’ channel-switching behavior in the post-COVID-19 pandemic era

, , ORCID Icon & ORCID Icon
Article: 2198068 | Received 27 Dec 2022, Accepted 29 Mar 2023, Published online: 08 Apr 2023

References

  • Ahuja, M., Gupta, B., & Raman, P. (2003). An empirical investigation of online consumer purchasing behavior. Communications of the ACM, 46(12), 145–16. https://doi.org/10.1145/953460.953494
  • Andreti, J., Zhafira, N. H., Akmal, S. S., & Kumar, S. (2013). The analysis of the product, price, place, promotion and service quality on customers’ buying decision of convenience store: A survey of a young adult in Bekasi, West Java, Indonesia. International Journal of Advances in Management and Econ, 2(6), 72–78.
  • Avery, S. (1996). The interactive marketplace: Business-to-business strategies for delivering just-in-time, mass-customized products. Harvard Business Press.
  • Bandura, A., & Walters, R. H. (1977). Social learning theory (Vol. 1). Englewood cliffs.
  • Brown, J. J., Reingen, P. H., & Ganesan, S. (2001). Does type of product involvement matter? The role of consumer-level variables in predicting responses to brand extensions. Journal of the Academy of Marketing Science, 29(2), 149–164.
  • Burke, R. R. (2002). Technology and the customer interface: What consumers want in the physical and virtual store. Journal of the Academy of Marketing Science, 30(4), 411–432.
  • Cheung, M. & Liao, Z. (2003). Supply-side hurdles in internet B2C e-commerce: an empirical investigation. IEEE Trans. Eng. Manage., 50(4), 458–469. https://doi.org/10.1109/TEM.2003.819649
  • Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535.
  • Chung, S. Y., Kim, G. H., Yang, S. B., Oh, S. H., Hwang, D. Y., Kim, Y. C., & Lee, S. W. (2012). A study of consumer attitude and purchasing behavior toward agricultural products using social network service. The Korean Journal of Food and Nutrition, 25(3), 650–655. https://doi.org/10.9799/ksfan.2012.25.3.650
  • Dabholkar, P. A., & Bagozzi, R. P. (2002). An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184–201.
  • Dai, H., Milkman, K. L., & Riis, J. (2014). The fresh start effect: Temporal landmarks motivate aspirational behavior. Management Science, 60(10), 2563–2582. https://doi.org/10.1287/mnsc.2014.1901
  • Davis F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487. https://doi.org/10.1006/imms.1993.1022
  • Deepak, K. A., & Velaudham, C. (2019). Marital differences towards consumer buying behaviour. Ajanta, 8(2), 36–45.
  • Duarte, P., E Silva, S. C., & Ferreira, M. B. (2018). How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing and Consumer Services, 44, 161–169. https://doi.org/10.1016/j.jretconser.2018.06.007
  • Eastin, M. S., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-Mediated Communication, 6(1), JCMC617.
  • Eastlick, M. A., & Lotz, S. L. (1999). Profiling potential adopters of an interactive shopping service: The early years make a difference. Journal of Retailing, 75(3), 303–329.
  • Elliot, S., & Fowell, S. (2000). Expectations versus reality: A snapshot of consumers' experiences with online grocery shopping. Journal of Interactive Marketing, 14(1), 55–62.
  • Goldsmith, R. E., & Goldsmith, E. B. (2002). Buying apparel over the Internet. Journal of Product & Brand Management, 11(2), 89–102. https://doi.org/10.1108/10610420210423464
  • Grewal, D., Monroe, K. B., & Krishnan, R. (2002). The effects of price-comparison advertising on buyers' perceptions of acquisition value, transaction value, and behavioral intentions. Journal of Marketing, 66(2), 46–59.
  • Han, H., & Ryu, K. (2012). The theory of repurchase decision-making (TRD): Identifying the critical factors in the post-purchase decision-making process. International Journal of Hospitality Management, 31(3), 786–797. https://doi.org/10.1016/j.ijhm.2011.09.015
  • Iezadi, S., Khosravi, A., & Hassani, M. (2020). COVID-19 pandemic: Impacts, roles, and strategies for sustainable development. Environmental Science and Pollution Research, 27(32), 40603–40608.
  • Irawan, I. A. (2018). Effect of trust, convinience, security and quality of service on online purchase decision (consumer case study in tangerang selatan area). Jurnal Ekonomi, 23(1), 114–122. https://doi.org/10.24912/je.v23i1.337
  • Jung, H. J., Kim, H., & Oh, K. W. (2016). Green leather for ethical consumers in China and Korea: Facilitating ethical consumption with value–belief–attitude logic. Journal of Business Ethics, 135(3), 483–502. https://doi.org/10.1007/s10551-014-2475-2
  • Jusoh, Z. M., & Ling, G. H. (2012). Factors influencing consumers’ attitude towards e-commerce purchases through online shopping. International Journal of Humanities and Social Science, 2(4), 223–230.
  • Kaufman-Scarborough, C., & Lindquist, J. D. (2002). Dimensions of internet anxiety: An empirical examination of their effects on consumer behavior. Journal of Public Policy & Marketing, 21(3), 312–324.
  • Khalifa, M., & Liu, V. (2007). Online consumer retention: Contingent effects of online shopping habit and online shopping experience. European Journal of Information Systems, 16(6), 780–792. https://doi.org/10.1057/palgrave.ejis.3000711
  • Kim, Y. M. (2011). Consumers’ knowledge: The missing element in online purchasing expenditures. Journal of Information & Knowledge Management, 10(02), 159–168. https://doi.org/10.1142/S0219649211002900
  • Kim, M. J., Chung, N., & Lee, C. K. (2011). The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea. Tourism Management, 32(2), 256–265. https://doi.org/10.1016/j.tourman.2010.01.011
  • Kim, H. B., Kim, T. T., & Shin, S. W. (2009). Modeling roles of subjective norms and eTrust in customers’ acceptance of airline B2C eCommerce websites. Tourism Management, 30(2), 266–277. https://doi.org/10.1016/j.tourman.2008.07.001
  • Kiran, R., Sharma, A., & Mittal, K. C. (2008). Attitudes, preferences and profile of online buyers in India: Changing trends. South Asian Journal of Management, 15(3), 55–73.
  • Lee, M. K., & Turban, E. (2001). A trust model for consumer Internet shopping. International Journal of Electronic Commerce, 6(1), 75–91.
  • Lenth, R., & Dobler, C. (2005). Regression Models for Categorical Dependent Variables Using Stata (rev.). The American Statistician.
  • Li, H. S., & Houston, J. E. (2001). Factors affecting consumer preferences for major food markets in Taiwan. Journal of Food Distribution Research, 32(856–2016–57730), 97–109.
  • Ling, K. C., Daud, D. B., Piew, T. H., Keoy, K. H., & Hassan, P. (2011). Perceived risk, perceived technology, online trust for the online purchase intention in Malaysia. International Journal of Business and Management, 6(6), 167. https://doi.org/10.5539/ijbm.v6n6p167
  • Lin, C. L., Jin, Y. Q., Zhao, Q., Yu, S. W., & Su, Y. S. (2021). Factors influence students’ switching behavior to online learning under COVID-19 pandemic: A push–pull–mooring model perspective. The Asia-Pacific Education Researcher, 30(3), 229–245. https://doi.org/10.1007/s40299-021-00570-0
  • Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of Retailing, 77(1), 39–56.
  • Menon, S., & Kahn, B. E. (2002). Cross-category effects of induced arousal and pleasure on the internet shopping experience. Journal of Retailing, 78(1), 31–40
  • Moeller, S., Fassnacht, M., & Ettinger, A. (2009). Retaining customers with shopping convenience. Journal of Relationship Marketing, 8(4), 313–329. https://doi.org/10.1080/15332660903344644
  • Mokhtarian, P. L., & Tang, W. L. (2013). Trivariate probit models of pre-purchase/purchase shopping channel choice: Clothing purchases in northern California. In Hess, S., & Daly, A. (Eds.), Choice Modelling (pp. 243–273). Edward Elgar Publishing.
  • Mummalaneni, V., Meng, J., & Elliott, K. M. (2016). Consumer technology readiness and e-service quality in e-tailing: What is the impact on predicting online purchasing? Journal of Internet Commerce, 15(4), 311–331. https://doi.org/10.1080/15332861.2016.1237232
  • Ngoh, C. L., & Groening, C. (2022). The effect of COVID-19 on consumers’ channel shopping behaviors: A segmentation study. Journal of Retailing and Consumer Services, 68, 103065. https://doi.org/10.1016/j.jretconser.2022.103065
  • Oliver, R. L. (1977). Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. Journal of applied psychology, 62(4), 480.
  • Prochaska, J. O., & DiClemente, C. C. (1983). Stages and processes of self-change of smoking: Toward an integrative model of change. Journal of Consulting and Clinical Psychology, 51(3), 390. https://doi.org/10.1037/0022-006X.51.3.390
  • Raman, P., & Pashupati, K. (2005). Online privacy: Consumer concerns and technological competence. In Krishnamurthy, S. (Ed.), Contemporary Research in E-Marketing (Vol. 1, pp. 200–225). IGI Global.
  • Rogers, E. M. (1995). Diffusion of innovation. Free Press.
  • Satit, R. P., Tat, H. H., Rasli, A., Chin, T. A., & Sukati, I. (2012). The relationship between marketing mix and customer decision-making over travel agents: An empirical study. International Journal of Academic Research in Business and Social Sciences, 2(6), 522 Omics, 2(6), 72–78.
  • Shim, S., Eastlick, M. A., Lotz, S. L., & Warrington, P. (2001). An online prepurchase intentions model: The role of intention to search. Journal of Retailing, 77(3), 397–416.
  • Somervuori, O., & Ravaja, N. (2013). Purchase behavior and psychophysiological responses to different price levels. Psychology & Marketing, 30(6), 479–489. https://doi.org/10.1002/mar.20621
  • Suwanvijit, W., & Promsa-Ad, S. (2009). The insight study of consumer life-styles and purchasing behaviors in Songkhla province, Thailand. International Journal of Marketing Studies, 1(2), 66. https://doi.org/10.5539/ijms.v1n2p66
  • Tian, D., Hao, S., Mu, W., Shi, J., & Feng, J. (2021). Chinese consumers’ selection of wine purchasing channels: Influence of demographic characteristics, perceived value factors, social factors and wine knowledge. British Food Journal, 124(11), 3522–3539. https://doi.org/10.1108/BFJ-07-2021-0789
  • Wolfinbarger, M., & Gilly, M. C. (2001). Shopping online for freedom, control, and fun. California Management Review, 43(2), 34–55.
  • Wolk, A., & Ebling, C. (2010). Multi-channel price differentiation: An empirical investigation of existence and causes. International Journal of Research in Marketing, 27(2), 142–150. https://doi.org/10.1016/j.ijresmar.2010.01.004
  • Yoon, C. (2002). The antecedents and consequences of trust in online-purchase decisions. Journal of Interactive Marketing, 16(2), 47–63.
  • Youn, S. Y., Lee, J. E., & Ha-Brookshire, J. (2021). Fashion consumers’ channel-switching behavior during the COVID-19: Protection motivation theory in the extended planned behavior framework. Clothing and Textiles Research Journal, 39(2), 139–156. https://doi.org/10.1177/0887302X20986521
  • Zeithaml, V. A., & Berry, L. L. (1990). Delivering quality service: Balancing customer perceptions and expectations. Free Press.