A New Normal - Purchasing Seafood Online: An Investigation of Consumers’ Purchase Intention
DOI:
https://doi.org/10.7187/GJATSI022022-9Keywords:
Purchase Intention, Seafood, Online, Technology Acceptance Model, MalaysiaAbstract
Grocery nowadays offers fresh and frozen seafood to people in Malaysia on the internet platform. The phenomenon is driven by the growing seafood industry market with 17.4 percent compound annual growth (CAGR). Besides, the phenomenon also helped the rising trend statistics for online retailing as well as the growing market of online grocery. The purpose of this article is to study the direct relationship between the determinants (Attitudes, Freshness, Product Variety, Perceived Risk, Perceived Novelty, and Trust) and online purchase intention towards purchasing fresh seafood. This study also intends to examine the mediating effect of attitudes between the determinants (Perceived Usefulness and Perceived Ease of Use) and online purchase intention towards seafood. Data from 202 samples are collected and analysed using the partial least square methodology via an online survey. The findings showed that attitudes were significantly affected by perceived ease of use and perceived usefulness. Furthermore, Attitudes and Perceived Novelty, freshness, and Trust have a significant effect on online purchase intention of seafood, whereas Product Variety has insignificant effect on purchasing seafood by ordering online. It is also proposed that attitudes have significantly mediated the effects of perceived usefulness and Perceived Ease of use on online purchase intention of seafood. The findings have significant implications for Seafood Company to provide an efficient and effective online grocery website based on the need of online customers.
References
Amaro, S., & Duarte, P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, 46, 64-79.
Bengal, S., Gretton, J., & Wegener, D. (2018). Attitudes. In: Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience Vol. 4: Development and Social Psychology, pp. 357-394). New York: Wiley.
Bonsón Ponte, E., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47, 286–302.
Botta, J. R. (1995). Evaluation of seafood freshness quality. John Wiley & Sons.
Chen, Y. M., Hsu, T. H., & Lu, Y. J. (2018). Impact of flow on mobile shopping intention. Journal of Retailing and Consumer Services, 41(April), 281–287.
Chin, S.-L., & Goh, Y.-N. (2017). Consumer Purchase Intention Toward Online Grocery Shopping : View from Malaysia. Global Business and Management Research: An International Journal, 9(4 Special Issue), 221–239.
Consumer Price Index Malaysia September 2019. (2019). Retrieved from Department of Statistics Malaysia, Official Portal.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340
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.
Driediger, F., & Bhatiasevi, V. (2019). Online grocery shopping in Thailand: Consumer acceptance and usage behavior. Journal of Retailing and Consumer Services,48, 224-237.
Ha, H.-Y., & Janda, S. (2014). The effect of customized information on online purchase intentions. Internet Research, 24(4), pp. 496-519.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial lease squares structural equations modeling (PLS-SEM) (2nd ed.). Los Angeles: SAGE.
Hasbullah, N. A., Osman, A., Abdullah, S., Salahuddin, S. N., Ramlee, N. F., & Soha, H. M. (2016). The Relationship of Attitude, Subjective Norm and Website Usability on Consumer Intention to Purchase Online: An Evidence of Malaysian Youth. Procedia Economics and Finance, 35(October 2015), 493–502.
Hashem, S., Migliore, G., Schifani, G., Schimmenti, E., & Padel, S. (2018). Motives for buying local, organic food through English box schemes. British Food Journal,120(7), 1600-1614.
Heng, Y., Gao, Z., Jiang, Y., & Chen, X. (2018). Exploring hidden factors behind online food shopping from Amazon reviews: A topic mining approach. Journal of Retailing and Consumer Services,42, 161-168.
Hsiao, K. L., & Chen, C. C. (2018). What drives smartwatch purchase intention? Perspectives from hardware, software, design, and value. Telematics and Informatics, 35(1), 103–113.
Kang, C. (2016). Three Essays of Grocery Consumers’ Channel Selection Behavior (Doctoral Dissertation). Retrieved from http://s-space.snu.ac.kr/bitstream/10371/126154/1/ 000000136074.pdf.
Khoo, D., Goh, Y. N., & Ting, M. S. (2020). Investigation on Buyers’ Purchase Intention of High-Rise Properties in Malaysia in the Era of 4.0. In First ASEAN Business, Environment, and Technology Symposium (ABEATS 2019) (pp. 1-5). Atlantis Press.
Kline, R. B. (2015). Principles and practice of structural equation modelling. New York, NY: Guilford Publications.
Liu, R., & Grunert, K. G. (2020). Satisfaction with food-related life and beliefs about food health, safety, freshness and taste among the elderly in China: A segmentation analysis. Food Quality and Preference, 79(April 2019), 103775.
Madjid, I., J. Ma’ruf, J., Ibrahim, M., & Havizatun, M. (2018). Factors Affecting Online Shopping Attitudes and the Role of Trust as Mediating. International Journal of Management and Economics Invention, 4, 1929-1935.
Mohd Suki, N. (2016). Green product purchase intention: impact of green brands, attitude, and knowledge. British Food Journal, 118(12), 2893-2910.
Moslehpour, M., Pham, V. K., Wong, W. K., & Bilgiçli, İ. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234.
Nielsen (2018). Global Online Grocery Purchasing Is Up 15% in Last Two Years, Leading to an Estimated US$70B in Additional Sales in Online FMCG. (2018, November 19). Retrieved from https://www.nielsen.com/my/en/press-room/2018/global-online-grocery-purchasing-is-up-15-percent-in-last-two-years.html.
Shoup, E. (2019, March 20). Online grocery race narrows: It’s ‘anyone’s game to win,’ says Nielsen. Retrieved from https://www.foodnavigator-usa.com/Article/2019/03/20/Online-grocery-is-anyone-s-game-to-win-says-Nielsen
Sillani, S., & Nassivera, F. (2015). Consumer behavior in choice of minimally processed vegetables and implications for marketing strategies. Trends in Food Science and Technology, 46(2), 339–345.
Singh, D. P. (2014). Motivations Based Segmentation of Indian Online Consumers. Journal of General Management Research, 1(2), 14–28.
Singh, S., & Srivastava, S. (2018). Moderating effect of product type on online shopping behaviour and purchase intention: An Indian perspective. Cogent Arts & Humanities, 5: 1495043.
Simmering, M. J., Fuller, C. M., Richardson, H. a., Ocal, Y., & Atinc, G. M. (2015). Marker Variable Choice, Reporting, and Interpretation in the Detection of Common Method Variance: A Review and Demonstration. Organizational Research Methods, 18(3), 473–511.
Sreeram, A., Kesharwani, A., & Desai, S. (2017). Factors affecting satisfaction and loyalty in online grocery shopping: an integrated model. Journal of Indian Business Research, 9(2), 107–132.
Tan, A. K. G., Yen, S. T., & Hasan, A. R. (2015). At Home Consumption of Fish Products in Malaysia: An Analysis of Household Expenditure Survey Data. Marine Resource Economics, 30(4), 417–433.
The Star. (2014, Jun 19). Malaysians eat more fish than Japanese, reveals study. Retrieved from https://www.thestar.com.my/news/nation/2014/06/19/malaysians-eat-more-fish-than japanese-reveals-study#:~:text=Mackerel%20is%20the%20most%20popular,preferred% 20species%2C%20followed%20by%20grouper.
Tarhini, A., Alalwan, A. A., Al-Qirim, N., Algharabat, R., & Masa’deh, R. (2018). An Analysis of the Factors Influencing the Adoption of Online Shopping. International Journal of Technology Diffusion, 9(3), 68–87.
Ting, M. S., Goh, Y. N., & Isa, S. M. (2016). Determining consumer purchase intentions toward counterfeit luxury goods in Malaysia. Asia Pacific Management Review, 21(4), 219–230.
Wu, Y., & Wu, J. (2016). The Impact of User Review Volume on Consumers’ Willingness-to-Pay: A Consumer Uncertainty Perspective. Journal of Interactive Marketing, 33, 43-56,
Xiao, A., Yang, S., & Iqbal, Q. (2018). Factors Affecting Purchase Intentions in Generation Y: An Empirical Evidence from Fast Food Industry in Malaysia. Administrative Sciences, 9(1), 4.
Zhang, T., Tao, D., Qu, X., Zhang, X., Lin, R., & Zhang, W. (2019). The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transportation Research Part C: Emerging Technologies, 98, 207–220.
Zhu, Q., & Semeijn, J. (2014). Antecedents of Customer Behavioral Intentions for Online Grocery Shopping in Western Europe. European Retail Research,1-19.
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