Open Access
Subscription Access
Open Access
Subscription Access
Moderating Effects of Generation Y’s Online-to-Offline E-Commerce (O2O E-Commerce) Shopping Experience
Subscribe/Renew Journal
This research aimed to study the moderating effects of Generation Y’s online-to-offline e-commerce (O2O e-commerce) shopping experience. The data were collected utilizing an online questionnaire. The sample included 349 customers aged between 18 – 38 years. Descriptive statistics were used to present the percentage, mean, and standard deviation. Inferential statistics were applied by structural equation modeling (SEM) to test the moderating effects of the O2O e-commerce shopping experience as a categorical variable. Also, to compare the chi-square differences, multi-group analysis was applied. The research results revealed that online and offline data integration variables positively influenced perceived usefulness and easy-to-use. Perceived usefulness and perceived easy-to-use positively influenced customers’ attitudes towards the use of O2O e-commerce. Moreover, Generation Y’s O2O e-commerce shopping experience influenced the relationship between online and offline data integration and perceived usefulness. Furthermore, perceived easy-to-use influenced the relationship between perceived usefulness, perceived easy-to-use, and attitudes towards the use of O2O e-commerce. The results of this research can be used as a guideline for various educational institutions in helping local communities generate sustainable income, which is a very important foundation for country development. The educational institutions can act as intermediaries in purchasing products produced by local communities and distributing them through the O2O e-commerce platform created to reach the right customers, such as Generation Y.
Keywords
Moderating effects, generation Y, e-commerce, online-to-offline, O2O e-commerce, shopping experience, business administration, business economics, marketing and advertising
Paper Submission Date : June 30, 2021; Paper sent back for Revision : March 16, 2022 ; Paper Acceptance Date : April 25, 2022 ; Paper Published Online : August 16, 2022
User
Subscription
Login to verify subscription
Font Size
Information
- An, K.-H., Lee, S. B., Lee, S. B., & Suh, Y. H. (2018). An effect of O2O service users' motivation on loyalty through expectation-confirmation and satisfaction. Journal of Korean Society for Quality Management, 46(4), 923 – 938. https://doi.org/10.7469/JKSQM.2018.46.4.923
- Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
- Anderson, N. H. (1981). Foundations of information integration theory. Academic Press.
- Awang, Z. (2012). Research methodology and data analysis (2nd ed.). Penerbit Universiti Teknologi MARA Press.
- Barbu, C. M. (2011). Cultural adaptation of products. Management & Marketing, 9(1), 105 – 110.
- Bruner, G. C., & Kumar, A. (2000). Web commercials and advertising hierarchy-of-effects. Journal of Advertising Research, 40(1–2), 35 – 42. https://doi.org/10.2501/JAR-40-1-2-35-42
- Bulsara, H. P., & Vaghela, P. S. (2022). Millennials' online purchase intention towards consumer electronics: Empirical evidence from India. Indian Journal of Marketing, 52(2), 53–70. https://doi.org/10.17010/ijom/2022/v52/i2/168154
- Castañeda, J. A., Muñoz-Leiva, F., & Luque, T. (2007). Web acceptance model (WAM): Moderating effects of user experience. Information & Management, 44(4), 384–396. https://doi.org/10.1016/j.im.2007.02.003
- Chi, Y.-S., Kang, M.-Y., Han, K.-S., & Choi, J.-I. (2016). A study on the discontinuance intention on O2O commerce: With a focus on the mediating effects of perceived risk and user resistance. International Journal of u- and e- Service, Science and Technology, 9(2), 207–218. http://dx.doi.org/10.14257/ijunesst.2016.9.2.21
- Chung, J. B., & Nam, S. J. (2020). A study on the user acceptance of O2O services: Mediating effect of customer attitude. East Asian Journal of Business Economics (EAJBE), 8(3), 15–24. https://doi.org/10.20498/eajbe.2020.8.3.15
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319 – 340. https://doi.org/10.2307/249008
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982 – 1003. https://doi.org/10.1287/mnsc.35.8.982
- Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intentions and behaviour: An introduction to theory and research. Addison-Wesley.
- Global Entrepreneurship Research Association. (2020). Global entrepreneurship Thailand monitor report 2019/20. https://www.gemconsortium.org/report/gem-thailand-report-201920
- Government Savings Bank encourages 60 thousand community retail stores to sell online. (2018, October 22). Matichon Online. https://www.matichon.co.th/news-monitor/news_1190839
- Goyat, S. (2011). The basis of market segmentation: A critical review of literature. European Journal of Business and Management, 3(9), 45–54.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall.
- Hu, J., & Chen, X. (2018). Study on the satisfaction of consumers with online ordering services and its influencing factors in O2O mode: A microcosmic perspective on the provision of takeout services. Revista de Cercetare Și Intervenție Socială, 63, 230 – 253.
- Janssens, W., Vanden Brande, P., Hardeman, E., De Langhe, E., Philps, T., Troosters, T., & Decramer, M. (2008). Inspiratory flow rates at different levels of resistance in elderly COPD patients. European Respiratory Journal, 31(1), 78–83. https://doi.org/10.1183/09031936.00024807
- Jayaraman, K., Ng, C. H., Stocker, K., & Kiumarsi, S. (2016). Environmental concerns motivate intention to utilize free bus services: An empirical study in Malaysia. Indian Journal of Marketing, 46(1), 8–23. https://doi.org/10.17010/ijom/2016/v46/i1/85740
- Jeon, M. M., & Jeong, M. (2017). Customers' perceived website service quality and its effects on e-loyalty. International Journal of Contemporary Hospitality Management, 29(1), 438–457. https://doi.org/10.1108/IJCHM-02-2015-0054
- Jeong, Y. J., & Song, Y. U. (2016). A study on the factors affecting the intention to use O2O Services. Journal of Information Technology Services, 15(4), 125–151. https://doi.org/10.9716/KITS.2016.15.4.125
- Jose, H., & Koshy, M. P. (2018). Factors influencing young consumers of organic food products to lead a healthy lifestyle. Indian Journal of Marketing, 48(10), 7–19. https://doi.org/10.17010/ijom/2018/v48/i10/132323
- Joshi, D., & Achuthan, S. (2016). A study of trends in B2C online buying in India. Indian Journal of Marketing, 46(2), 22–35. https://doi.org/10.17010/ijom/2016/v46/i2/87248
- Kang, J.-W., & Namkung, Y. (2019). The information quality and source credibility matter in customers' evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189–198. https://doi.org/10.1016/j.ijhm.2018.10.011
- Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
- Ko, T., Yeom, S., & Lee, M. (2017). The effects of using O2O fashion mobile commerce on consumers' attitudes and intentions-focused on the characteristics of consumers and O2O mobile commerce. Journal of Fashion Business, 21(3), 67–79. https://doi.org/10.12940/JFB.2017.21.3.67
- Kotler, P., & Keller, K. L. (2012). Marketing management (14th ed.). Pearson Education.
- Lee, Y.-H., & Jeon, I.-O. (2017). The effect of characteristics of ICT-based O2O service on user satisfaction - focusing on the mediating effect of use safety. Journal of Digital Convergence, 15(4), 157–169. https://doi.org/10.14400/JDC.2017.15.4.157
- Lopes, S. D., Boubeta, A. R., & Mallou, J. V. (2009). Post hoc tourist segmentation with conjoint and cluster analysis. PASOS Revista de Turismo y Patrimonio Cultural, 7(3), 491–501. https://www.redalyc.org/articulo.oa?id=88111636012
- Nandi, S., & Singh, S. (2021). Young adults' engagement with Facebook advertisements: An exploratory study using theory of planned behaviour. Indian Journal of Marketing, 51(2), 9–28. https://doi.org/10.17010/ijom/2021/v51/i2/157548
- Oh, L-B., Teo, H-H., & Sambamurthy, V. (2012). The effects of retail channel integration through the use of information technologies on firm performance. Journal of Operations Management, 30(5), 368–381. https://doi.org/10.1016/j.jom.2012.03.001
- Only O2O marketing is vital in this era. (2018, September 3). Smart SME. https://www.smartsme.co.th/content/97169
- Palmer, M. W. (1993). Putting things together in even better order: The advantages of canonical correspondence analysis. Ecology, 74, 2215–2230. https://doi.org/10.2307/1939575
- Prakash, G., & Pathak, P. (2014). Understanding rural buying behaviour: A study with special reference to FMCG products. Indian Journal of Marketing, 44(8), 43–55. https://doi.org/10.17010/ijom/2014/v44/i8/80132
- Ramírez-Correa, P. E., Rondán-Cataluña, F. J., & Arenas-Gaitán, J. (2020). A posteriori segmentation of personal profiles of online video games' players. Games and Culture, 15(3), 227–247. https://doi.org/10.1177/1555412018766786
- Riantini, R. E. (2018, August). Adoption of e-commerce online to offline with technology acceptance model (TAM) approach. In, Proceedings of the 2018 4th International Conference on Computer and Information Sciences (ICCOINS) (pp. 1–6). IEEE. https://doi.org/10.1109/ICCOINS.2018.8510613
- Saribut, S., & Assarut, N. (2018, June). Segmentation of elderly travelers based on new-age value orientation. In, Proceedings of the 8th Advances in Hospitality and Tourism Marketing and Management (AHTMM) Conference (pp. 144–151). http://www.ahtmm.com/wp-content/uploads/2018 8th_AHTMM_proceedings_2018_1.pdf
- Saributr, S., Hirankitti, P., Nilapornkul, N., Chaturongakul, D., Jathuwarodom, A., & Poolmuangrat, P. (2021). Factors affecting the intention to use O2O e-commerce in communities' products purchasing of generation Y customer. RMUTT Global Business and Economics Review, 16(2), 65–87. https://so03.tci-thaijo.org/index.php/RMUTT-Gber/article/view/252040
- Suprawan, L. (2017). The effect of technology acceptance model on behavioral intention to use Facebook live: The mediating role of attitude. Veridian E-Journal, Silpakorn University (Humanities, Social Sciences and Arts), 10(4), 31– 43.
- Thomas, M. R., & Mathew, J. (2021). Attitude of generations: Does it matter online? Indian Journal of Marketing, 51(4), 44 – 57. https://doi.org/10.17010/ijom/2021/v51/i4/158470
- Thorbjørnsen, H., Supphellen, M., Nysveen, H., & Pedersen, P. E. (2002). Building brand relationships online: A comparison of two interactive applications. Journal of Interactive Marketing, 16(3), 17–34. https://doi.org/10.1002/dir.10034
- Tomar, V. S., Tomar, R. S., & Khattri, V. (2020). Moderating role of brand trust on offline vs online shoppers and its impact on cognitive dissonance. Indian Journal of Marketing, 50 (8–9), 66–79. https://doi.org/10.17010/ijom/2020/v50/i8-9/154692
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
- Yang, Y., Gong, Y., Land, L. P., & Chesney, T. (2020). Understanding the effects of physical experience and information integration on consumer use of online to offline commerce. International Journal of Information Management, 51, Article 102046. https://doi.org/10.1016/j.ijinfomgt.2019.102046
- Yim, D. - S., & Han, S.-S. (2016). Omnichannel's perception effect on omnichannel use and customer-brand relationship. Journal of Distribution Science, 14(7), 83–90. https://doi.org/10.15722/JDS.14.7.201607.83
- Zhang, J., Liu, F., Tang, J., & Li, Y. (2019). The online integrated order picking and delivery considering Pickers' learning effects for an O2O community supermarket. Transportation Research Part E: Logistics and Transportation Review, 123, 180–199. https://doi.org/10.1016/j.tre.2019.01.013
Abstract Views: 213
PDF Views: 1