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Customer Satisfaction Towards Food Service Apps in Indian Metro Cities

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  • Debarun Chakraborty

Abstract

The appearance of the internet, together with the development of related advancements, has made a noteworthy effect on the lives of individuals around the world. For advertisers, a standout among the various effects has been the rise of virtual stores that sell items and administrations online. Consumers are now be able to buy products and ventures for all intents and purposes anywhere, 24 hours daily, 7 days and without land and fleeting limits. While numerous advertisers recognize the significance of utilizing the internet in their promoting blends, little research has exactly tried the basic factors that impact a person’s choice when purchasing items or administrations on the web. This investigation looks at the determinants of the client-requesting knowledge, which incorporates information quality of the app, payment system and design of the app, customer services, customer satisfaction and the quality of food. The levels of determinants are indicated site quality and administration quality. Study information of 369 online sustenance-requesting clients was used to test the examination display, utilizing multiple regression analysis. Results uncover that not exclusively is there a huge positive relationship between customer services and satisfaction, yet additionally a huge positive relationship between quality of food and consumer satisfaction. Moreover, huge positive connections are additionally found not just between the app and consumer satisfaction but in addition between services and satisfaction also. There is a negative and insignificant connection between design of the app and satisfaction. By and large, the examination gives important bits of knowledge for working on web sustenance-requesting administrations effectively.

Suggested Citation

  • Debarun Chakraborty, 2019. "Customer Satisfaction Towards Food Service Apps in Indian Metro Cities," FIIB Business Review, , vol. 8(3), pages 245-255, September.
  • Handle: RePEc:sae:fbbsrw:v:8:y:2019:i:3:p:245-255
    DOI: 10.1177/2319714519844651
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    References listed on IDEAS

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    1. Richa Misra, 2013. "Linking Cellular Subscriber Satisfaction and Service Quality: An Empirical Study on Delhi-NCR Cellular," FIIB Business Review, , vol. 2(2), pages 46-53, April.
    2. repec:dau:papers:123456789/4623 is not listed on IDEAS
    3. S. Rolland & Ina Freeman, 2010. "A new measure of e-service quality in France," Post-Print hal-00576616, HAL.
    4. Vicki McKinney & Kanghyun Yoon & Fatemeh “Mariam” Zahedi, 2002. "The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach," Information Systems Research, INFORMS, vol. 13(3), pages 296-315, September.
    5. Ye Diana Wang & Henry H. Emurian, 2005. "Trust in E-Commerce: Consideration of Interface Design Factors," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 3(4), pages 42-60, October.
    6. Nidhi Singh & Neena Sinha, 2016. "A Study on Mobile Banking and its Impact on Customer's Banking Transactions: A Comparative Analysis of Public and Private Sector Banks in India," FIIB Business Review, , vol. 5(2), pages 57-70, April.
    7. Dickinger, Astrid & Stangl, Brigitte, 2013. "Website performance and behavioral consequences: A formative measurement approach," Journal of Business Research, Elsevier, vol. 66(6), pages 771-777.
    Full references (including those not matched with items on IDEAS)

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