The Intention to Reuse Online Shopping Sites Among Female Shoppers in Saudi Arabia: Applying TAM Model
DOI:
https://doi.org/10.14738/assrj.910.13286Keywords:
Reuse online shopping sites, Perceived usefulness, Perceived ease of use, Female shoppers’ attitude, TAM, Saudi ArabiaAbstract
E-retailers have challenging facing their competitors online according to the huge increase in e-stores and, increase in online shoppers' awareness toward using online shopping sites. Using the TAM model, this study aimed to measure the effect of perceived ease of use and usefulness, as well as an attitude toward online shopping on women's intention to reuse online shopping in Saudi Arabia. The quantitative approach was applied in this study with causal and descriptive research. A judgment sampling technique was used in this research, 367 questionnaires have distributed, and only 320 questionnaires were valid to conduct the analysis by using the Structural Equation Model (SEM) in Smart-PLS Software version 3.0. The findings of the study have indicated that perceived ease of use related to usefulness and female shoppers' attitude toward online shopping positively and have a significant effect on them. On the other hand, perceived usefulness has no significant influence on female shoppers' attitudes toward online shopping. Finally, female shoppers' attitude toward online shopping has a positive and significant influence on intention to reuse online shopping sites.
References
Yilmaz, Z. (2022). Ranking online shopping websites by considering the criteria weights. Journal of Business Research, 144, 497-512. doi:https://doi.org/10.1016/j.jbusres.2022.02.018
Al-Somali, S.A., R. Gholami, and B. Clegg. (2015). A stage-oriented model (SOM) for e-commerce adoption: a study of Saudi Arabian organisations. Journal of Manufacturing Technology Management, 26(1), 2-35. doi:https://doi.org/10.1108/JMTM-03-2013-0019
Zamberi Ahmad, S. (2012). Micro, small and medium‐sized enterprises development in the Kingdom of Saudi Arabia. World Journal of Entrepreneurship, Management and Sustainable Development, 8(4), 217-232. doi:https://doi.org/10.1108/20425961211276606
World Internet Users and Population Stats. 2002 [cited 2020 30]; Available from: http://www.Internetworldstats.com/stats.htm.
Ling, L.P. and R. Yazdanifard. (2014). Does gender play a role in online consumer behavior. Global Journal of Management Business Research: E Marketing, 14(7), 61-68.
Pascual-Miguel, F.J., Á.F. Agudo-Peregrina, and J. Chaparro-Peláez. (2015). Influences of gender and product type on online purchasing. Journal of Business Research, 68(7), 1550-1556. doi:https://doi.org/10.1016/j.jbusres.2015.01.050
Stafford, T.F., A. Turan, and M.S. Raisinghani. (2004). International and Cross-Cultural Influences on Online Shopping Behavior. Journal of Global Information Technology Management, 7(2), 70-87. doi:https://doi.org/10.1080/1097198X.2004.10856373
Burke, R.R. (1997). Do You See What I See? The Future of Virtual Shopping. 25(4), 352-360. doi:https://doi.org/10.1177/0092070397254007
Djamasbi, S., A. Fruhling, and E. Loiacono. (2009). The influence of affect, attitude and usefulness in the acceptance of telemedicine systems. Journal of Information Technology Theory Application (JITTA), 10(1), 5.
Tong, X. (2010). A cross‐national investigation of an extended technology acceptance model in the online shopping context. International Journal of Retail & Distribution Management, 38(10), 742-759. doi:https://doi.org/10.1108/09590551011076524
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370. doi:https://doi.org/10.2307/3250921
Gefen, D., E. Karahanna, and D.W. Straub. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51-90. doi:https://doi.org/10.2307/30036519
Lee, G.G. and H.F. Lin. (2005). Customer perceptions of e‐service quality in online shopping. International Journal of Retail & Distribution Management, 33(2), 161-176. doi:https://doi.org/10.1108/09590550510581485
Almousa, M. and D. Brosdahl. (2014). Online apparel purchasing: a cultural comparison of Saudi Arabian and US consumers. Journal of International Business Cultural Studies, 8, 1.
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. doi:https://doi.org/10.1006/imms.1993.1022
Chen, Y.-Y. (2012). Why Do Consumers Go Internet Shopping Again? Understanding the Antecedents of Repurchase Intention. Journal of Organizational Computing and Electronic Commerce, 22(1), 38-63. doi:https://doi.org/10.1080/10919392.2012.642234
Qureshi, I.A., H. Raza, and M. Whitty. (2014). Facebook as e-learning tool for higher education institutes. Knowledge Management E-Learning: An International Journal, 6(4), 440-448.
Bosson, J.K. and K.S. Michniewicz. (2013). Gender dichotomization at the level of ingroup identity: what it is, and why men use it more than women. Journal of personality social psychology, 105(3), 425.
Kurnia, S. and J. Chien. The acceptance of online grocery shopping. in The 16th Bled Electronic Commerce Conference, Bled, Slovenia. 2003. Citeseer.
Shih, H.-P. (2004). Extended technology acceptance model of Internet utilization behavior. Information & Management, 41(6), 719-729. doi:https://doi.org/10.1016/j.im.2003.08.009
Hansen, T. (2005). Perspectives on consumer decision making: an integrated approach. Journal of Consumer Behaviour, 4(6), 420-437. doi:https://doi.org/10.1002/cb.33
Foxall, G.R., R.E. Goldsmith, and S. Brown, Consumer psychology for marketing. 2nd ed. Vol. 1. 1998: Cengage Learning EMEA.
Henkel, D., et al. (2006). The impact of emerging WLANs on incumbent cellular service providers.
Zendehdel, M., L.H. Paim, and N. Delafrooz. (2016). The moderating effect of culture on the construct factor of perceived risk towards online shopping behaviour. Cogent Business & Management, 3(1), 1223390. doi:https://doi.org/10.1080/23311975.2016.1223390
George, J.F. (2002). Influences on the intent to make Internet purchases. Internet Research, 12(2), 165-180. doi:https://doi.org/10.1108/10662240210422521
Yang, K.C.C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and Informatics, 22(3), 257-277. doi:https://doi.org/10.1016/j.tele.2004.11.003
Wu, S.I. (2003). The relationship between consumer characteristics and attitude toward online shopping. Marketing Intelligence & Planning, 21(1), 37-44. doi:https://doi.org/10.1108/02634500310458135
Jarvenpaa, S.L., N. Tractinsky, and M. Vitale. (2000). Consumer trust in an Internet store. Information Technology and Management, 1(1), 45-71. doi:https://doi.org/10.1023/A:1019104520776
Davis, F.D., R.P. Bagozzi, and P.R. Warshaw. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003. doi:https://doi.org/10.1287/mnsc.35.8.982
Tan, M. and T.S. Teo. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for information Systems, 1(1), 5. doi:https://doi.org/10.17705/1jais.00005
van der Heijden, H., T. Verhagen, and M. Creemers. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41-48. doi:https://doi.org/10.1057/palgrave.ejis.3000445
Hong, S. and H. Kim. An integrated GPU power and performance model. in Proceedings of the 37th annual international symposium on Computer architecture. 2010.
Peng, H., et al. (2008). First-principles study of the electronic structures and magnetic properties of 3d transition metal-doped anatase TiO. Journal of Physics: Condensed Matter, 20(12), 125207. doi:https://doi.org/10.1088/0953-8984/20/12/125207
Legris, P., J. Ingham, and P. Collerette. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204. doi:https://doi.org/10.1016/S0378-7206(01)00143-4
Jandab, A., et al. (2019). IT-Based Innovation and New Product Development Performance in Yemen: The Moderating Role of Intellectual Property. International Journal of Business Society, 3(11), 1-8. doi:https://doi.org/10.30566/ijo-bs-2019-11-1
Abdulsamad, A., et al. (2020). The Importance of Entrepreneurial Orientation's Dimensions in Influencing the Organizational Performance of Food and Beverage SMEs. Advances in Social Sciences Research Journal, 7, 81-99. doi:http://dx.doi.org/10.14738/assrj.712.9289
Jandab, A., et al. (2020). THE INFLUENCE OF IT CAPABILITY ON IT-BASED INNOVATION: THE MEDIATING ROLE OF ORGANIZATIONAL LEARNING CAPABILITY. 2020.
Abdulsamad, A., et al. (2021). The Impact of Market Orientation Components on Organizational Performance of SMEs. The single-industry approach "Food and Beverage Sector". Advances in Social Sciences Research Journal, 8, 504-516. doi:http://dx.doi.org/10.14738/assrj.85.10231
Nunnally, J.C., Psychometric Theory: 2nd Ed. 1978: McGraw-Hill.
Aghdaie, S.F.A., A. Piraman, and S. Fathi. (2011). An analysis of factors affecting the consumer's attitude of trust and their impact on internet purchasing behavior. International Journal of Business Social Science, 2(23).
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