Consumer Behavior Intentions to Purchase Daily Needs through Online Store Channel

https://doi.org/10.22146/agritech.49232

Moh. Wahyudin(1*), Henry Yuliando(2), Amalia Savitri(3)

(1) Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta 55281
(2) Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta 55281
(3) Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta 55281
(*) Corresponding Author

Abstract


The inception of the 4.0 industrial era led to the evolution of internet information technology, which significantly changed the business sector’s marketing, transaction, and payment systems into online stores.  This new marketplace is an important business infrastructure used to develop marketing strategies in this technological era. Therefore, it enables companies or enterprises, including those in the retail sector, to remotely sell daily products, such as cooking needs, foods, snacks, beverages, toiletries, and laundries through various online platforms. Furthermore, these companies need to creatively and anticipatively participate in the various trading competition by having an online shopping channel. This study aims to measure consumer behavior intention in using the online store channel to purchase daily needs products in order to determine the influence of convenience and risk transactions on behavioral intentions. Data were obtained from respondents that consistently make use of online stores channel. The result showed that consumers’ ease and convenience during transactions, especially in terms of payment and delivery service, have a positive and significant effect on their attitude and behavioral intention to use online store channel to purchase daily needs products.

Keywords


Consumer behavior; daily needs; online store; apps store; marketplace

Full Text:

PDF


References

Adi, Rifqi Nugroho, and Widiyanto, Ibnu (2013). Analisis faktor-faktor yang memengaruhi keputusan pembelian dengan sistem pre order secara online (Studi kasus pada online shop Chopper Jersey). Downloaded on August 09, 2018 from http://eprints.undip.ac.id/40079/ 1/ADI.pdf.

Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behaviour. Eaglewood Cliffs, NJ: Prentice-Hall.

Beck, S. & Kenning, P. 2015. The Influence of Retailers' Family Firm Image on New Product Acceptance: An Empirical Investigation In The German FMCG Market. International Journal Retail Distribution Management. Vol. 43. No.12. 1126–1143.

Breckler, S. J. (1984). Empirical validation of affect, behavior, and cognition as distinct components of attitude. Journal of Personality and Social Psychology, 47 (6), 191–205.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(2), 318–340.

Hair, J. F., Black, W. J., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis, a global perspective. New Jersey: Pearson Prentice Hall.

Li, N., & Zhang, P. (2006). What makes customers shop online? The technology of electronic
customer relationship management. India: Pearson.

Lichtenthal, J. D. & Eliaz, S. (2003). Internet integration in business marketing tactics. Industrial Marketing Management, 32(1), 3–13.

Ministry of Communication and Information. (2016). Gerakan nasional 1000 starup digital. Retrieved on December 18th, 2018. http://aptika.kominfo.go.id/index.php/artikel/145-gerakannasional-1000-startup-digital

Nunally J.C, Bernstein, IH. (1994). Psysikometric theory (3 rd.ed). NEW YORT, Mc, Graw-Hill.

Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Research, 14(30), 224–235.

Prasad, C. & Aryasri, A. (2009). Determinants of shopper behavior in e-tailing: An empirical analysis. Paradigm, 13 (1), 73–83.

Rong, J., Vu, H. Q., Law, R., & Li, G. (2011). A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining. Tourism Management.

Roy, Sanjit Kumar, M.S. Balaji, Ali Quazi & Mohammed Quaddus. 2018. Predictors of Customer Acceptance and Resistance to Smart Technologies In The Retail Sector. Journal of Retailing and Consumer Services, 147-160.

Shen, Y., Li, S., & Demoss, M. (2012). The effect of quantitative electronic word of mouth on consumer perceived product quality. International Journal of Management and Marketing Research. 5, 19–30.

Shim, J. P., Shin, Y. B., & Nottingham, L. (2002). Retailer web site influence on customer shopping: An exploratory study on key factors of customer satisfaction. Journal of the Association for Information Systems, 3, 53–76.

The Tetra Pak Index Report Online. 2018. Insight and Opportunity: Online Grocery. Tetra Pak Group. USA

Turban, E., King, D., Lee, J., & Viehland, D. (2004). Electronic commerce: A managerial perspective. New Jersey: Pearson Prentice Hall.

Wahyudin, M & Azali, F Nahar. (2020). Consumer shopping behavior through online store for food and beverages. IOP Conf. Ser.: Earth Environ. Sci. 425 012026

Williams, M. 2012. Relating word-of-mouth to corporate reputation. Public Communication Review, 2, 3–16.

Yu, T. & Wu, G. (2007). Determinants of internet shopping behavior: an application of reasoned behavior theory. International Journal of Management, 24(4), 744–762.

Zabkar, V., Brencic, M. M., & Dmitrovic, T. (2010). Modelling perceived quality, visitor satisfaction and behavioral intentions at the destination level. Tourism Management, 31(4), 537-546.

Zeithaml, V. A. (1988). Consumer perceptions of price, quality and value: a means-end model and synthesis of evidence. Journal of Marketing, 52 (3), 2-22.



DOI: https://doi.org/10.22146/agritech.49232

Article Metrics

Abstract views : 12198 | views : 7511

Refbacks

  • There are currently no refbacks.




Copyright (c) 2021 Moh. Wahyudin, Henry Yuliando, Amalia Savitri

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

agriTECH has been Indexed by:


agriTECH (print ISSN 0216-0455; online ISSN 2527-3825) is published by Faculty of Agricultural Technology, Universitas Gadjah Mada in colaboration with Indonesian Association of Food Technologies.


website statisticsView My Stats