The growth of communication technology, modern
technology, and the internet, electronic commerce (e-commerce) has brushed up through all walks of
the world with an irrevocable trend. This has promoted the market in a great
range of services or products, either digital or physical. However, information
asymmetry and trust has played a significant role in customers’ tenacity in
carrying out transactions with online firms. This study assessed the
determinants of e-commerce in the fashion wear, cosmetics markets, then
determined the consumer behavior and preferences about the online and offline
channels using questionnaire to elicit information from the respondents. Data
obtained were analyzed using descriptive, inferential statistics, and Logistic
regression analysis. The results of the analysis showed that majority of the
respondents (43.3%) surveyed would not purchase makeup/perfume, fashion wears,
and skin and body care products online because of Information Asymmetry and as
a result of inability to smell, touch or test. These factors contributed to the
level of adoption of e-commerce for makeup/perfume, fashion wears,
and skin and body care products in Nigeria. Finally, it was recommended that a
third-party insurance policy should be enacted that protect the customer’s
right against Information Asymmetry by the e-commerce vendors.
References
[1]
Adeyeye, P. O., Fapetu, O., Aluko, O. A., & Migiro, S. O. (2015). Does Supply-Leading Hypothesis Hold in a Developing Economy? A Nigerian Focus. Procedia Economics and Finance, 30, 30-37. https://doi.org/10.1016/S2212-5671(15)01252-6
[2]
Adeyonu, A. G., Adams, S. O., Kehinde, M. O., Akerele, D., & Otekunrin, O. A. (2022). Spatial Profiles and Determinants of Multidimensional Energy Poverty in Rural Nigeria. International Journal of Energy Economics and Policy, 12, 373-384. https://doi.org/10.32479/ijeep.13163
[3]
Al-Debei, M. M., Akroush, M. N., & Ashouri, M. I. (2015). Consumer Attitudes towards Online Shopping: The Effects of Trust, Perceived Benefits, and Perceived Web Quality. Internet Research, 25, 707-733. https://doi.org/10.1108/IntR-05-2014-0146
[4]
Almquist, Y. B., Ashir, S., & Brannstrom, L. (2014). A Guide to Quantitative Methods. Chess.
[5]
Bandana, R. (2018). Sentiment Analysis of Movie Reviews Using Heterogeneous Features. In 2018 2nd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (pp. 1-4). IEEE. https://doi.org/10.1109/IEMENTECH.2018.8465346
[6]
Beatty, P., Reay, I., Dick, S., & Miller, J. (2011). Consumer Trust in E-Commerce Web Sites: A Meta-Study. ACM Computing Surveys (CSUR), 43, 1-46. https://doi.org/10.1145/1922649.1922651
[7]
Castro, D., Atkinson, R. D., & Ezell, S. J. (2010). Embracing the Self-Service Economy. SSRN. https://doi.org/10.2139/ssrn.1590982
[8]
Cespedes-Dominguez, C., Fernandez-Robin, C., & McCoy, S. (2021). The Effects of Celebrity Characteristics on Purchase Intentions: A Focus on Consumer Concern of Environmental Issues. Sustainability, 13, Article No. 4083. https://doi.org/10.3390/su13084083
[9]
Collins-Thompson, K. (2014). Computational Assessment of Text Readability: A Survey of Current and Future Research. ITL-International Journal of Applied Linguistics, 165, 97-135. https://doi.org/10.1075/itl.165.2.01col
[10]
Cox, D. R., & Snell, E. J. (2018). Analysis of Binary Data. Routledge.
[11]
Decker, R. A., D’Erasmo, P. N., & Moscoso Boedo, H. (2016). Market Exposure and Endogenous Firm Volatility over the Business Cycle. American Economic Journal: Macroeconomics, 8, 148-198. https://doi.org/10.1257/mac.20130011
[12]
Frost, R., & Strauss, J. (2016). E-Marketing. Routledge.
[13]
Gibbs, J. L., & Kraemer, K. L. (2004). A Cross-Country Investigation of the Determinants of Scope of E-Commerce Use: An Institutional Approach. Electronic Markets, 14, 124-137. https://doi.org/10.1080/10196780410001675077
[14]
Goolsbee, A. D., & Klenow, P. J. (2018). Internet Rising, Prices Falling: Measuring Inflation in a World of E-Commerce. In AEA Papers and Proceedings (Vol. 108, pp. 488-492). American Economic Association. https://doi.org/10.1257/pandp.20181038
[15]
Ismail, M. A., & Safa, N. S. (2014). Trust, Satisfaction, and Loyalty Formation in Electronic Commerce. Journal of Industrial and Intelligent Information, 2, 228-232. https://doi.org/10.12720/jiii.2.3.228-232
[16]
Mouakket, S. (2020). Investigating the Role of Mobile Payment Quality Characteristics in the United Arab Emirates: Implications for Emerging Economies. International Journal of Bank Marketing, 38, 1465-1490. https://doi.org/10.1108/IJBM-03-2020-0139
[17]
Nagelkerke, N. J. (1991). A Note on a General Definition of the Coefficient of Determination. Biometrika, 78, 691-692. https://doi.org/10.1093/biomet/78.3.691
[18]
Nduji, R., & Chris, O. (2020). Effect of E-Commerce on Performance of Commercial Banks in Nigeria (A Case Study of First Bank Plc, Bwari Area Council, Abuja). Journal of African Studies and Sustainable Development, 3, 1-30.
[19]
Newman, N. (2018). Journalism, Media and Technology Trends and Predictions 2018. Reuters Institute for the Study of Journalism.
[20]
Niranjanamurthy, M., & Chahar, D. (2013). The Study of E-Commerce Security Issues and Solutions. International Journal of Advanced Research in Computer and Communication Engineering, 2, 2885-2895.
[21]
Ren, J., Dubois, D. J., Choffnes, D., Mandalari, A. M., Kolcun, R., & Haddadi, H. (2019, October). Information Exposure from Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach. In Proceedings of the Internet Measurement Conference (pp. 267-279). Association for Computing Machinery. https://doi.org/10.1145/3355369.3355577
[22]
Rosenfeld, L., & Morville, P. (2002). Information Architecture for the World Wide Web. O’Reilly Media, Inc.
[23]
Santoso, A. S., & Erdaka, A. (2015). Customer Loyalty in Collaborative Consumption Model: Empirical Study of CRM for Product-Service System-Based E-Commerce in Indonesia. Procedia Computer Science, 72, 543-551. https://doi.org/10.1016/j.procs.2015.12.162
[24]
Sturiale, L., & Scuderi, A. (2016). The Digital Economy: New E-Business Strategies for Food Italian System. International Journal of Electronic Marketing and Retailing, 7, 287-310. https://doi.org/10.1504/IJEMR.2016.080806
[25]
Tajpour, A., Ibrahim, S., & Zamani, M. (2013). E-Commerce and Identity Theft Issues. International Journal of Advancements in Computing Technology, 5, 105-111.
[26]
Turban, E., Outland, J., King, D., Lee, J. K., Liang, T. P., & Turban, D. C. (2018). Electronic Commerce Payment Systems. In Electronic Commerce 2018 (pp. 457-499). Springer. https://doi.org/10.1007/978-3-319-58715-8_12
[27]
Yamane, T. (1967). Statistics an Introductory Analysis (2nd ed.). Harper and Row.