A Gender-Based Comparative Evaluation of O2O Food Delivery Characteristics : A Requirements Prioritization Approach
DOI:
https://doi.org/10.17010/ijom/2023/v53/i1/172593Keywords:
Online Food Delivery
, Requirements Prioritization, Food e-Commerce, Gender, Consumer Preferences.Paper Submission Date
, May 15, 2022, Paper sent back for Revision, October 20, Paper Acceptance Date, November 30, Paper Published Online, January 15, 2023Abstract
This article intended to assess enablers and deterrents to online-to-offline (O2O) food delivery (OFD) use from users’ and non-users’ perspectives at the sub-dimension level. The study aimed to parallelly evaluate these sub-dimensions for both genders and provide a self-comparison of preferences. An online survey was conducted to obtain users’ preferences. Two hundred valid responses were analyzed using the simple ranking method of the requirements prioritization approach for ordinal data analysis. The findings revealed that females required comprehensive product details, ease of interface use, convenience in transactions, and overall hygiene at all stages. Privacy violation was reported as the most significant risk perceived by females. Male OFD users asked for safe food packaging and a good delivery experience but perceived the product performance failure as a severe risk. The inability to access food quality online was the top reason to avoid OFD use. The findings will help OFD operators and food-tech start-ups improve their operations by addressing specific issues. The article is unique as it followed an approach different from just establishing linear relations by analyzing ordinal data using the requirements prioritization technique.Downloads
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Agarwal, V., & Sahu, R. (2021). Predicting repeat usage intention towards O2O food delivery: Extending UTAUT2 with user gratifications and bandwagoning. Journal of Foodservice Business Research, 25(4), 434-474. https://doi.org/10.1080/15378020.2021.1951074
Akram, U., Ansari, A. R., Fu, G., & Junaid, M. (2020). Feeling hungry? let's order through mobile! examining the fast food mobile commerce in China. Journal of Retailing and Consumer Services, 56, 102142. https://doi.org/10.1016/j.jretconser.2020.102142
Al Amin, M., Arefin, M. S., Alam, M. R., Ahammad, T., & Hoque, M. R. (2021). Using mobile food delivery applications during COVID-19 pandemic: An extended model of planned behavior. Journal of Food Products Marketing, 27(2), 105-126. https://doi.org/10.1080/10454446.2021.1906817
Berander, P., & Andrews, A. (2005). Requirements prioritization. In, A. Aurum, & C. Wohlin (eds.), Engineering and managing software requirements (pp. 69-94). Springer. https://doi.org/10.1007/3-540-28244-0_4
Berander, P., & Svahnberg, M. (2009). Evaluating two ways of calculating priorities in requirements hierarchies - An experiment on hierarchical cumulative voting. Journal of Systems and Software, 82(5), 836-850. https://doi.org/10.1016/J.JSS.2008.11.841
Borah, P. M. (2021, May 26). Dabbawalas in Mumbai now set to deliver food from restaurants. The Hindu. https://www.thehindu.com/life-and-style/food/food-delivery-dabbawalas-in-mumbai-direct-order-method-national-restaurant-association-india/article34648529.ece
Chincholkar, S., & Sonwaney, V. (2022). How demographic factors impact consumers' product choice during online shopping : An empirical study of tier-III markets. Indian Journal of Marketing, 52(2), 34-52. https://doi.org/10.17010/IJOM/2022/V52/I2/168153
Dhote, T., & Zahoor, D. (2017). Framework for sustainability in e-commerce business models : A perspective based approach. Indian Journal of Marketing, 47(4), 35-50. https://doi.org/10.17010/IJOM/2017/V47/I4/112681
Duda-Chodak, A., Lukasiewicz, M., Zięć, G., Florkiewicz, A., & Filipiak-Florkiewicz, A. (2020). Covid-19 pandemic and food: Present knowledge, risks, consumers fears and safety. Trends in Food Science & Technology, 105, 145-160. https://doi.org/10.1016/J.TIFS.2020.08.020
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191. https://doi.org/10.3758/BF03193146
Firesmith, D. (2004). Prioritizing requirements. Journal of Object Technology, 3(8), 35-47. https://doi.org/10.5381/JOT.2004.3.8.C4
Hatton, S. (2007). Early prioritisation of goals. In, J. L. Hainaut et al. (eds.), Advances in conceptual modeling Foundations and applications. ER 2007. Lecture Notes in Computer Science (Vol. 4802, pp. 235-244). Springer. https://doi.org/10.1007/978-3-540-76292-8_29
Hossain, A., Uddin, M. H., & Islam, I. (2021). Drivers for online buying behaviour in Bangladesh. Abhigyan, 39(1), 22-31. https://www.proquest.com/openview/3830137f3a76418dfb018b6240701a50/1?pq-origsite=gscholar&cbl=5403485
Jayanthi, B. V., & Hari Prasad Reddy, Y. (2017). Consumer socialization process and adolescent junk food consumption in Chennai and Hyderabad. Indian Journal of Marketing, 47(3), 43-61. https://doi.org/10.17010/IJOM/2017/V47/I3/111422
Jiang, L. (A), Yang, Z., & Jun, M. (2013). Measuring consumer perceptions of online shopping convenience. Journal of Service Management, 24(2), 191-214. https://doi.org/10.1108/09564231311323962
Jose, H., & Koshy, M. P. (2018). Factors influencing young consumers of organic food products to lead a healthy lifestyle. Indian Journal of Marketing, 48(10), 7-19. https://doi.org/10.17010/IJOM/2018/V48/I10/132323
Kang, J.-W., & Namkung, Y. (2019). The information quality and source credibility matter in customers' evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189-198. https://doi.org/10.1016/j.ijhm.2018.10.011
Kapoor, A. P., & Vij, M. (2018). Technology at the dinner table: Ordering food online through mobile apps. Journal of Retailing and Consumer Services, 43, 342-351. https://doi.org/10.1016/j.jretconser.2018.04.001
Karlsson, J., Wohlin, C., & Regnell, B. (1998). An evaluation of methods for prioritizing software requirements. Information and Software Technology, 39(14-15), 939-947. https://doi.org/10.1016/S0950-5849(97)00053-0
Kim, J. J., Kim, I., & Hwang, J. (2021). A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19. International Journal of Hospitality Management, 93, 102758. https://doi.org/10.1016/j.ijhm.2020.102758
Kurup, A. J., & Jain, P. (2018). Effect of e-loyalty cues on repurchase behavioural intentions among online shoppers. Indian Journal of Marketing, 48(11), 7-22. https://doi.org/10.17010/IJOM/2018/V48/I11/137982
Lee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of continuous intention on food delivery apps: Extending UTAUT2 with information quality. Sustainability, 11(11), 31-41. https://doi.org/10.3390/su11113141
Macintosh, G., & Gentry, J. W. (1999). Decision making in personal selling: Testing the "K.I.S.S. principle". Psychology & Marketing, 16(5), 393-408. https://doi.org/10.1002/(SICI)1520-6793(199908)16:5<393::AID-MAR2>3.0.CO;2-N
Malati, N., Tiwari, P., & Jain, S. (2012). An empirical study of faculty satisfaction and its impact on retention. Abhigyan, 30(3), 45-56. https://www.proquest.com/openview/f26da4f6e90049b7f3af652391d1a984/1?pq-origsite=gscholar&cbl=5403485
Munshi, A., & Singla, A. R. (2022). Exploring key growth drivers and strategies for enhancing performance of Indian food tech startups. Indian Journal of Marketing, 52(1), 42-57. https://doi.org/10.17010/IJOM/2022/V52/I1/159847
Park, S., & Tussyadiah, I. P. (2017). Multidimensional facets of perceived risk in mobile travel booking. Journal of Travel Research, 56(7), 854-867. https://doi.org/10.1177/0047287516675062
Parmod, & Arora, U. (2021). Effect of gender, age, and marital status of grocery consumers on their perceived retail store image : A study of organized grocery market in India. Indian Journal of Marketing, 51(4), 58-71. https://doi.org/10.17010/IJOM/2021/V51/I4/158471
Parray, Z. A., & Bhat, S. A. (2019). Turnover intention's relationship to organizational culture and job satisfaction in the health care industry. Abhigyan, 37(2), 48-56.
Rizou, M., Galanakis, I. M., Aldawoud, T. M., & Galanakis, C. M. (2020). Safety of foods, food supply chain and environment within the COVID-19 pandemic. Trends in Food Science & Technology, 102, 293-299. https://doi.org/10.1016/J.TIFS.2020.06.008
Roh, M., & Park, K. (2019). Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation. International Journal of Information Management, 47, 262-273. https://doi.org/10.1016/j.ijinfomgt.2018.09.017
Saad, A. T. (2021). Factors affecting online food delivery service in Bangladesh: An empirical study. British Food Journal, 123(2), 535-550. https://doi.org/10.1108/BFJ-05-2020-0449
Shah, A. M., Yan, X., Shah, S. A., & Ali, M. (2020). Customers' perceived value and dining choice through mobile apps in Indonesia. Asia Pacific Journal of Marketing and Logistics, 33(1), 1-28. https://doi.org/10.1108/APJML-03-2019-0167
Shashikala, R., & Suresh, A. M. (2017). Role of servicescape in shaping dining experience - An empirical study. Abhigyan, 35(3), 10-20. https://www.proquest.com/openview/ab87c3f31f62824693730eb3aea67a89/1?pq-origsite=gscholar&cbl=5403485
Singh, A., & Nanda, P. (2022). Comparing factors influencing loyal consumption behavior towards fast-food restaurants. Indian Journal of Marketing, 52(6), 41-58. https://doi.org/10.17010/IJOM/2022/V52/I6/169835
Sivathanu, B. (2017). Food marketing and its impact on adolescents' food choices. Indian Journal of Marketing, 47(8), 46-60. https://doi.org/10.17010/IJOM/2017/V47/I8/117432
Statista.com. (2021, October). Online food delivery - India. https://www.statista.com/outlook/dmo/eservices/online-food-delivery/india
Stillwell, W. G., Seaver, D. A., & Edwards, W. (1981). A comparison of weight approximation techniques in multiattribute utility decision making. Organizational Behavior and Human Performance, 28(1), 62-77. https://doi.org/10.1016/0030-5073(81)90015-5
Suhartanto, D., Kartikasari, A., Najib, M., & Leo, G. (2021). COVID-19: Pre-purchase trust and health risk impact on m-commerce experience Young customers experience on food purchasing. Journal of International Food & Agribusiness Marketing, 34(3), 269-288. https://doi.org/10.1080/08974438.2021.1880514
Sur, S. (2018). Theoretical review of growth of e-commerce in India and its relevance in future business sustainability. Abhigyan, 36(3), 41-50. https://www.proquest.com/openview/c84d45dc4c399c40876f179b8e056ce7/1?pq-origsite=gscholar&cbl=5403485
Swiggy, ANRA get approval to start drone trials for food delivery. (2021, June 16). The Economic Times. https://economictimes.indiatimes.com/tech/startups/swiggy-anra-get-approval-to-start-drone-trials-for-food-delivery/articleshow/83574991.cms
Tandon, U., Kiran, R., & Sah, A. N. (2018). The influence of website functionality, drivers and perceived risk on customer satisfaction in online shopping: An emerging economy case. Information Systems and E-Business Management, 16, 57-91. https://doi.org/10.1007/s10257-017-0341-3
Thakur, A., Shabnam, & Kaur, R. (2017). An empirical study on consumer trust in online shopping in Punjab. Indian Journal of Marketing, 47(2), 47-59. https://doi.org/10.17010/IJOM/2017/V47/I2/110027
Troise, C., O'Driscoll, A., Tani, M., & Prisco, A. (2021). Online food delivery services and behavioural intention A test of an integrated TAM and TPB framework. British Food Journal, 123(2), 664-683. https://doi.org/10.1108/BFJ-05-2020-0418
Verma, P. (2020). The effect of presentation, product availability and ease upon transaction reliability for online food delivery aggregator applications - Moderated mediated model. Journal of Foodservice Business Research, 23(4), 285-304. https://doi.org/10.1080/15378020.2020.1761586
Wang, Y.-S., Tseng, T. H., Wang, W.-T., Shih, Y.-W., & Chan, P.-Y. (2019). Developing and validating a mobile catering app success model. International Journal of Hospitality Management, 77, 19-30. https://doi.org/10.1016/j.ijhm.2018.06.002
Xu, X., & Huang, Y. (2019). Restaurant information cues, Diners' expectations, and need for cognition: Experimental studies of online-to-offline mobile food ordering. Journal of Retailing and Consumer Services, 51, 231-241. https://doi.org/10.1016/j.jretconser.2019.06.010
Zhao, Y., & Bacao, F. (2020). What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? International Journal of Hospitality Management, 91, 102683. https://doi.org/10.1016/j.ijhm.2020.102683