ISSN: 2222-6990
Open access
This study aimed to examine the determinants of consumer purchasing behavior towards online food delivery services in Peninsular Malaysia. There were 384 respondents involved in this study from states that are Selangor, Johor, Pulau Pinang, and Terengganu through multi-stage cluster sampling and convenience sampling. The data were collected through a questionnaire. This study uses descriptive analysis and Multiple Linear Regression analysis. Multiple Linear Regression analysis found three significant factors: perceived usefulness, attitude, and behavioral intention. These demonstrate as much as 59.2% of the variance in consumer purchasing behavior towards online food delivery services in Peninsular Malaysia is obtained from the influence of attitude, perceived usefulness, and behavioral intention studied, and the attitude factor is the most influence factor influencing consumer’s purchasing behavior towards online food delivery services (?=0.367, p?0.001). In conclusion, attitude, perceived usefulness, and behavioral intention are the determinants of consumer purchasing behavior towards online food delivery services. Therefore, in line with the study's findings, governments and stakeholders need to play important roles in increasing perceived usefulness, attitude, and purchasing intention. Further studies can be expanded to other states in Malaysia to form a larger sample size representing the whole of Malaysia for bias avoidance.
Tausif, A. S. (2020). Factors affecting online food delivery service in Bangladesh: an empirical study. British Food Journal, 123(2), 535-550. DOI:10.1108/BFJ-05-2020-0449.
Ajzen, I. (1991). The theory of planned behavior. Organ. Behav. Hum. Decis. Processes, 50, 179–211.
Albarq, A. N. (2006). Intention to shop online among university students in Jordan. University Utara Malaysia.
Alagoz, S. M., & Hekimoglu, H. (2012). A study on TAM: Analysis of customer attitudes in online food ordering system. Procedia Social and Behavioral Science. 62,1138-1143.
Alalwan, A., Dwivedi, Y., & Williams, M. (2014). Examining Factors Affecting Customer Intention and Adoption of Internet Banking in Jordan. UK Academy for Information Systems Conference Proceedings 2014. Paper 3.
Anastasiei, B., & Dospinescu, N. (2019). Electronic word-of-mouth for online retailers: Predictors of volume and valence. Sustainability, 11, 814.
Blumtritt, C. (2018). eServices Report 2018 - Online Food Delivery, Hamburg.
Chen, L. D., Gillenson, M. L., & Sherell, D. L. (2002). Enticing online consumers: An extended technology acceptance perspective. Information of Management, (8), 705-719.
Chen, Y. H., Hsu, I. C., & Lin, C. C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63, 1007–1014.
Chen, H. S., Liang, C. H., Liao, S. Y., & Kuo, H. Y. (2020). Consumer attitudes and purchase intentions toward food delivery platform services. Sustainability, 12, 1-18.
Dang, A. K., Tran, B. X., Nguyen, C. T., Le, H. T., Do, H. T., & Nguyen, H. D. (2018). Consumer preference and attitude regarding online food products in Hanoi, Vietnam. International Journal of Environment Research and Public Health, 15(5), 981.
Das, J. (2017). Consumer perception towards online food ordering and delivery services: An empirical study. Journal of Management, 5(5), 155-163.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Manag. Sci., 35, 982–1003.
Durianto, D. C., & Liana, A. (2004). Analysis of the effectiveness of softener and fresh television advertising in Jakarta and surrounding areas using the Customer Decision Model. Journal of Corporate Economics, 1(2), 40-54.
Elango, D., Dowpiset, K., & Chantawaranurak, J. (2018). A Study on Factors Impacting Consumers' Intention to Use On-demand Food Delivery Applications in Bangkok, Thailand.
Fishbein, M. (1963). An investigation of the relationships between beliefs about an object and the attitude toward that object. Hum. Relat., 16, 233–239.
Fishbein, M. (1979). A Theory of Reasoned Action: Some Applications and Implications. University of Nebraska Press, 27, 65-116.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res., 18, 39–50.
Gera, M., Nawander, N., Tharwani, N., & Bhatia, P. (2018). Operations research in food delivery. International Journal of Advance Research and Development, 3(10), 73-78.
Griffith, D. A., Krampf, R. F., & Palmer, J. W. (2001). The role of interface in electronic commerce: Consumer involvement with print versus online catalogs. International Journal of Electronic Commerce, 5(4), 135-53.
Guo, Q., Johnson, C. A., Unger, J. B., Lee, L., Xie, B., & Chou, C. P. (2007). Utility of the theory of reasoned action and theory of planned behavior for predicting Chinese adolescent smoking. Addiction Behavior, 32(5), 066-1081.
Hair, J. J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis with Readings (7th ed.). Englewood Cliffs, New Jersey: Prentice Hall.
Harsono, L. D., & Suryana, L. A. (2014). Factor Affecting the User Behavior of Social Media Using UTAUT2 Model. In Proceedings of the First Asia-Pacific Conference on Global Business Economics, Finance and Social Sciences, Singapore.
Henseler, J., Hubona, G. S., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Ind. Manag. Data Syst., 116, 2–20.
Hong, C., Choi, H., Choi, E., & Joung, H. (2021). Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic. J. Hosp. Tour. Manag. 48, 509–518.
Hong, L., Li, Y., & Wang, S. (2016). Improvement of online food delivery service based on consumers' negative comments. Canadian Social Science, 12(5), 84–88.
Ingham, J., Cadieux, J., & Berrada, A. M. (2015). e-Shopping acceptance: A qualitative and meta-analytic review. Inf. Manag. 52, 44–60.
Jun, K., Yoon, B., Lee, S., Lee, & D. S. (2022). Factors Influencing Customer Decisions to Use Online Food Delivery Service during the COVID-19 Pandemic. Foods, 11, 64. https://doi.org/10.3390/foods11010064
Jusoh, Z. M., Arif, A. M. M., Osman, S., Salleh, R. M., & Kadir, N. A. A. (2018). Factors that influence the behavior of household solid waste management towards zero waste. Malaysian Journal of Consumer and Family Economics, 21, 136-152.
Kimes, S. E. (2011). Customer perceptions of electronic food ordering. Cornell Hospitality Report, 11(10), 6-15.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607-610.
Kulviwat, S., Bruner, G. C., & Neelankavil, J. P. (2014). Self-e?cacy as an antecedent of cognition and a?ect in technology acceptance. Journal Consumer Marketing, 31(3), 190-199.
Lee, W. I., Cheng, S. Y., & Shih, Y. T. (2017). Effects among product attributes, involvement, word-of-mouth, and purchase intention in online shopping. Asia Pac. Manag. Rev., 22, 223–229.
Liu, Q., Yan, Z., & Zhou, J. (2017). Consumer choices and motives for eco-labeled products in China: An empirical analysis based on the choice experiment. Sustainability, 9(3), 331.
Maziahtusima, A., Hazlina, A., Sakinah, A., & Yuslina, M. (2018). Facing the Challenges of the Industrial Revolution 4.0 Era: The Relationship between Continuous Learning Practice and the Performance of the Role of Education Teachers as Agents of Community Change. Proceedings of the National Seminar of the Council of Deans of Public University Education, 730-738.
Moon, J. W., & Kim, Y. G. (2001). Extending the Technology Acceptance Model a world wide web context. Information and Management, 38(4), 217-230.
Monsuwe, T. P., Dellaert, B. G. C., & Ruyter, K. D. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102-121.
Ong, F. S., Kitchen, P. J., & Jama, A. T. (2008). Consumption patterns and silver marketing: an analysis of older consumers in Malaysia. Article in Marketing Intelligence and Planning, 26(7), 682-698.
Radam, A., Rusli, M. Y., Than, S. B., & Selamat, J. (2010). Consumers’ perceptions, attitudes and willingness to pay towards food products with “No Added Msg” labeling. International Journal of Marketing Studies, 2(1), 65-77.
Ray, A., Dhir, A., Bala, P. K., & Kaur, P. (2019). Why do people use food delivery apps (FDA)? A uses and gratification theory perspective. J. Retail. Consum. Serv., 51, 221–230.
Reyes-Mercado, P. (2018). Adoption of fitness wearables: Insights from Partial Least Squares
and Qualitative Comparative Analysis. Journal of Systems and Information Technology, 20(1), 103-127. https://doi.org/10.1108/JSIT-04-2017-0025
Ryan, R. M., & Deci, E. L. (2017). Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness, New York: Guilford.
Salunkhe, S., Petkar, S., & Udgir. (2018). Technology acceptance model in context with online food ordering and delivery services: An extended conceptual framework, 5(5), 73-79.
Schiffman, L., & Kanuk, L. (2015). Consumer Behavior; Pearson Global Edition: Harlow, England.
Schwartz, S. H. (1992). Universals in the Content and Structure of Values: Theoretical Advances and Empirical Tests in 20 Countries. Advances in experimental Social Psychology, 25,1-65. DOI:10.1016/S0065-2601(08)60281-6
Sethu, H. S., & Saini, B. (2016). Customer Perception and Satisfaction on Ordering Food Via Internet, a Case on Foodzoned.Com, in Manipal. Finance and Social Sciences, Kuala Lumpur, Malaysia, 15-17.
Shahkila, Z. M. Y., Fadzilah, M. Y., & Yusnidawati, M. Y. (2016). Determinants towards food delivery through e-commerce in Pasir Gudang Area. Journal of Modern Education Review, 6(9), 622- 631.
Surya, A. P., Sukresna, I. M., & Mardiyono, A. (2021). Factors affecting intention to use food order-delivery feature of ride-hailing applications: the UTAUT approach. International Journal of Business and Society, 22 (3), 1363-1383.
Van der Heijden, H. (2003). Factors influencing the usage of websites: The case of a generic portal in the Netherlands. Journal of Information and Management, 40(6), 541-549.
Wagner, G., Schramm, K. H., & Steinmann, S. (2016). E-shopping acceptance: qualitative and meta-analytic review. Journal of Business Research,1-15.
Wu, I. L. (2013). The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trust. International Journal Information Management, 33(1), 166–176.
Yeo, V. C. S., Goh, S. K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal Retailing Consumer Services, 35, 150–162.
Zhou, M., Zhao, L., Kong, N., Campy, K. S., Xu, G., Zhu, G., Cao, X., & Wang, S. (2020).
Understanding consumers’ behavior to adopt self-service parcel services for last-mile
delivery. Journal of Retailing and Consumer Services, 52, 101911.
https://doi.org/10.1016/j.jretconser.2019.101911
Zuroni, M. J., Syuhaily, O., Afida Mastura, M. M., & Roslina, M. S. (2020). Factors affecting household solid waste management behavior towards zero waste among Malaysian consumers. Malaysian Journal of Consumer and Family Economics, 25, 194-218.
Zuroni, M. J., Nurnazrentasah, R., & Wanani, S. N. S. (2021). Factors influencing consumer purchasing behavior towards online food delivery services. Malaysian Journal of Consumer and Family Economics, 27 (S1), 1-16.
In-Text Citation: (Jusoh et al., 2022)
To Cite this Article: Jusoh, Z. M., Saworo, S. N. W., Rahiman, N., & Zainudin, N. (2022). Determinants of Consumer’s Purchasing Behavior towards Online Food Delivery Services. International Journal of Academic Research in Business and Social Sciences, 12(12), 2094 – 2113.
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