IDEAS home Printed from https://ideas.repec.org/a/ags/ijofsd/346003.html

Changing Paradigms of Indian Foodtech Landscape - Impact of Online Food Delivery Aggregators

Author

Listed:
  • Senthil, M.
  • Gayathri, N.
  • Chandrasekar, K.S.

Abstract

The purpose of this study is to depict the perception of consumers on the discount factor, future of food tech applications, tampering of family values, dine-out culture, technological anxiety and their impact on satisfaction behaviour. Millennials are the precedence audience for the online food aggregators. Generation X is different from other generations in perceiving discount factors. Future of food applications rely on the Discounts. Restaurant operators can focus on giving their customers an increased level of convenience and more discounts since these tend to be the reason for them to choose ordering food online. Optimisation is vital as increase in Technological anxiety increases the perceived future of food application and decreases the satisfaction behaviour.

Suggested Citation

  • Senthil, M. & Gayathri, N. & Chandrasekar, K.S., 2020. "Changing Paradigms of Indian Foodtech Landscape - Impact of Online Food Delivery Aggregators," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 11(02), February.
  • Handle: RePEc:ags:ijofsd:346003
    DOI: 10.22004/ag.econ.346003
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/346003/files/CHANGING%20PARADIGMS%20OF%20INDIAN%20FOODTECH.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.346003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Geert M.J. Termeer, 2019. "Is There A Future For Manufacturing-Led Development?," Economics and Management, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 16(2), pages 11-24.
    2. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amily Fikry & Azreen Joanna Abdul & Ameena Sibghatullah & Nur Shahrulliza Muhammad & Zatul Fahany Harun, 2024. "From Click to Cuisine: Navigating the Landscape of Customer Satisfaction in Online Food Delivery Apps," Information Management and Business Review, AMH International, vol. 16(3), pages 579-588.
    2. Vandana & Kumar, Sachin & Kumar, Vinod & Goyal, Praveen, 2023. "Investigating the Impact of Online Service Convenience on Customer Engagement, Attitude and Intention to Use Food Delivery Apps," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 14(03), September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Filimonau, Viachaslau & Högström, Michaela, 2017. "The attitudes of UK tourists to the use of biofuels in civil aviation: An exploratory study," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 84-94.
    2. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    3. Ostermeier, Manuel & Heimfarth, Andreas & Hübner, Alexander, 2023. "The multi-vehicle truck-and-robot routing problem for last-mile delivery," European Journal of Operational Research, Elsevier, vol. 310(2), pages 680-697.
    4. Lee, Hyun-Joo & Yang, Kiseol, 2013. "Interpersonal service quality, self-service technology (SST) service quality, and retail patronage," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 51-57.
    5. Chen, Chia-Chen & Chang, Chin-Hsuan & Hsiao, Kuo-Lun, 2022. "Exploring the factors of using mobile ticketing applications: Perspectives from innovation resistance theory," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    6. Park, JungKun & Ahn, Jiseon & Thavisay, Toulany & Ren, Tianbao, 2019. "Examining the role of anxiety and social influence in multi-benefits of mobile payment service," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 140-149.
    7. Chang, Hsin-Li & Yang, Cheng-Hua, 2008. "Explore airlines’ brand niches through measuring passengers’ repurchase motivation—an application of Rasch measurement," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 105-112.
    8. Turel, Ofir & Connelly, Catherine E., 2013. "Too busy to help: Antecedents and outcomes of interactional justice in web-based service encounters," International Journal of Information Management, Elsevier, vol. 33(4), pages 674-683.
    9. Chidera C. Ugwuanyi & Chukwunonso Oraedu & Chuka U. Ifediora & Ernest E. Izogo & Simplice A. Asongu & Ikechukwu J. Attamah, 2022. "Understanding drivers of self-service technologies (SSTs) satisfaction and marketing bottom lines: Evidence from Nigeria," Working Papers 22/025, European Xtramile Centre of African Studies (EXCAS).
    10. Kupeli, Birgul & Salman, Gulberk Gultekin & Karaosmanoglu, Elif & Daim, Tugrul, 2024. "Exploring self-service technology adoption: Case of airline check in," Technology in Society, Elsevier, vol. 77(C).
    11. Sheehan, Ben & Jin, Hyun Seung & Gottlieb, Udo, 2020. "Customer service chatbots: Anthropomorphism and adoption," Journal of Business Research, Elsevier, vol. 115(C), pages 14-24.
    12. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    13. Lionel Nicod & Sylvie Llosa, 2018. "How should customers be trained in their role as coproducers? The influence of training and its characteristics on the benefits of coproduction," Post-Print hal-03513344, HAL.
    14. Yonggang Liu & Hapini Awang & Nur Suhaili Mansor, 2025. "Exploring the Potential Barrier Factors of AI Chatbot Usage Among Teacher Trainees: From the Perspective of Innovation Resistance Theory," Sustainability, MDPI, vol. 17(9), pages 1-15, April.
    15. Tseng, Shu-Mei, 2015. "Exploring the intention to continue using web-based self-service," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 85-93.
    16. San-Martín, Sonia & Jiménez, Nadia & Liébana-Cabanillas, Francisco, 2020. "Tourism value VS barriers to booking trips online," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    17. Homayounfard, Amir & Zaefarian, Ghasem, 2022. "Key challenges and opportunities of service innovation processes in technology supplier-service provider partnerships," Journal of Business Research, Elsevier, vol. 139(C), pages 1284-1302.
    18. Nur Adelayati Mat Lias & Nur Reen Nuwairah Radzli & Mohd Hasrul Yushairi Johari, 2025. "The Influence of User Perceptions on Adopting and Using AI Chatbots for Halal Travel Information among Muslim Travellers," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(8), pages 3812-3839, August.
    19. Tianyang Huang, 2023. "Using SOR framework to explore the driving factors of older adults smartphone use behavior," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    20. Dhiman, Neeraj & Jamwal, Mohit & Kumar, Ajay, 2023. "Enhancing value in customer journey by considering the (ad)option of artificial intelligence tools," Journal of Business Research, Elsevier, vol. 167(C).

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ijofsd:346003. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/centmde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.