Customer Perspective on Food Delivery Service

Authors

  • Noor Zulaikah Mat Zin UCYP University, Malaysia
  • Auni Syafiqah Abdul Rahman UCYP University, Malaysia

DOI:

https://doi.org/10.35307/csrij.v3i1.53

Keywords:

Perspective, Food, Service

Abstract

 The purpose of this study was to investigate the customer perspective on food delivery service in Kuantan. Therefore, this study applied a quantitative approach and used a cross-sectional survey for data collection. The descriptive analysis study design was implemented to determine the perception of Kuantan residents towards the use of food delivery services. The instrument used in this study was a questionnaire, and data were collected from Kuantan residents (N = 58) around Kuantan. The collected data were then computerised and tabulated using descriptive statistics (frequency and percentage). From the analysis, the results show that most residents agree with the use of food delivery services around Kuantan. It is always on their minds and gives a positive perception, considering that the use of the service facilitates movement and saves time for Kuantan residents. In addition, most respondents agreed that this food delivery service can influence them to buy the products offered. Therefore, food delivery services have a positive effect on the online and business environment in Kuantan because it is one of the most influential and practical means of good marketing skills.

References

Alreck, P. L., & Settle, R. B. (2002). The hurried consumer: Time-saving perceptions of Internet and catalogue shopping, Journal of Database Marketing & Customer Strategy Management, 10(1), 25-35.

Alreck, P. L., DiBartolo, G. R., Diriker, M., Dover, H. F., Passyn, K. A., & Settle, R. B. (2009). Time pressure, time saving and online shopping: exploring a contradiction. Journal of Applied Business Research, 25(5), 85.

Bashir, R., Mehboob, I., & Bhatti, W. K. (2015). Effects of online shopping trends on consumer-buying Behavior: an empirical study of Pakistan, Journal of Management and Research, 2(2), 1-25.

Belanger, F., Hiller, J. S., & Smith, W. J. (2002). Trustworthiness in electronic commerce: the role of privacy, security, and site attributes, The Journal of Strategic Information Systems, 11(3-4), 245-270.

Botchway, I., Akenteng, B. W., & Atefoe, E. A. (2015). Health consciousness and eating habits among non–medical students in Ghana: A cross-sectional study, Journal of Advocacy, Research and Education, 2(1), 31-35.

Brown, S. and Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle, MIS Quarterly, 29(3), 399-426.

Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour, Industrial Management & Data Systems, 107(1), 21-36.

Chiu, C. M., & Wang, E. T. G. (2008). Understanding Web-based learning continuance intention: The role of subjective task value, Information & Management, 45(3), 194-201.

Cho, Y. C., & Sagynov, E. (2015). Exploring factors that affect usefulness, ease of use, trust, and purchase intention in the online environment, International Journal of Management & Information Systems (IJMIS), 19(1), 21-35.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 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.

Flavián, C., & Guinalíu, M. (2006). Consumer trust, perceived security and privacy policy: three basic elements of loyalty to a web site, Industrial Management & Data Systems, 106(5), 601-620.

Ganapathi, R. (2015). A study on factors affecting online shopping behavior of consumers in Chennai, Journal of Management Research and Analysis, 2(2), 123-126.

Jahangir, N., & Begum, N. (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking, African Journal of Business Management, 2(1), 32-40.

Kalakota, R., & Winston, AB. (1997). Electronic Commerce: A Manager's Guide, Pearson: USA.

Katawetawaraks, C., & Wang, C. L. (2011). Online shopper behavior: influences of online shopping decision, Asian Journal of Business Research, 1(2), 66-74.

Khalil, N. (2014). Factors affecting the consumer’s attitudes on online shopping in Saudi Arabia, International Journal of Scientific and Research Publications, 4(11), 1-8.

Kimes, S. E. (2011). Customer perceptions of electronic food ordering, Cornell Hospitality Report, 11(10), 6-15.

Lichtenstein, S., & Williamson, K. (2006). Understanding consumer adoption of internet banking: an interpretive study in the Australian banking context, Journal of Electronic Commerce Research, 7(2), 50-66.

Miyazaki, A. D., & Fernandez, A. (2000). Internet privacy and security: an examination of online retailer disclosures, Journal of Public Policy & Marketing, 19(1), 54-61.

Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies, Journal of Business Research, 56(11), 899-906.

Olorunniwo, F., Hsu, M. K., & Udo, G. J. (2006). Service quality, customer satisfaction, and behavioural intentions in the service factory, Journal of Services Marketing, 20(1), 59-72.

Ramayah, T., & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online, ICFAI Journal of Systems Management (IJSM), 3(3), 36-51.

Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457-465.

Rogers, E. M. (1962). Diffusion of Innovations (1st ed.): Free Press, New York, NY.

Seiders, K., Voss, G. B., Grewal, D., & Godfrey, A. L. (2005). Do satisfied customers buy more? Examining moderating influences in a retailing context, Journal of marketing, 69(4), 26-43.

Settle, R. B. & P. L. Alreck (1991). F-A-S-T: a Standardized Measure of Time Traits. Special Conference on Time and Consumer Behavior, Val-Morin, QC, Canada.

Sultan, M. U., & Uddin, M. (2011). Consumers’ Attitude towards Online Shopping: Factors influencing Gotland consumers to shop online. Unpublished Master’s Thesis, Gotland University.

Venkatesh, V. & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies, Management Science, 46(2), 186-204.

Yeo, V. C. S., Goh, S. K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services, Journal of Retailing and Consumer Services, 35, 150-162.

Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: a critical review of extant knowledge, Journal of the Academy of Marketing Science, 30(4), 362-375.

Zendehdel, M., Paim, L. H., & Osman, S. B. (2015). Students’ online purchasing behavior in Malaysia: understanding online shopping attitude, Cogent Business & Management, 2(1), 1-13.

Zulkarnain, K., Ismail, Y., Haque, A. A., & Ahmed, S. (2015). Key success factors of online food ordering services: an empirical study, Malaysian Management Review, 50(2), 19-36.

v3n123

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Published

2023-12-30

How to Cite

Zin, N. Z. M., & Rahman, A. S. A. (2023). Customer Perspective on Food Delivery Service. CSR International Journal, 3(1), 1–15. https://doi.org/10.35307/csrij.v3i1.53

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