Assessing the Performance of Online Food Delivery (OFD) in India

Amogh Bhaskara, Siddharth Menon, U. Dinesh Acharya, H. C. Shiva Prasad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this paper is to analyze the application quality of the online food delivery companies by using a qualitative and exploratory approach through the collection of primary data through a consumer survey and secondary data through a sample of 25 companies operating in the online food delivery sector in India. The analysis has been conducted through the parameters involving the aspects of Content, Usability, Functionality, Trust, Satisfaction and Brand Loyalty. The Data gathered has been analyzed using the SPSS followed by the Structural equation modelling (SEM). The conceptual model for the project has been achieved using the SmartPLS (v.2.3.8). The result shows better usability to the customer has a link to enhance application quality for business cycle and loyal customer trust the OFD system to allow efficiency building and look for profiteering space.

Original languageEnglish
Title of host publicationInformation Systems and Management Science - Conference Proceedings of 3rd International Conference on Information Systems and Management Science, ISMS 2020
EditorsLalit Garg, Nishtha Kesswani, Joseph G. Vella, Peter A. Xuereb, Man Fung Lo, Rowell Diaz, Sanjay Misra, Vipul Gupta, Princy Randhawa
PublisherSpringer Science and Business Media Deutschland GmbH
Pages33-45
Number of pages13
ISBN (Print)9783030862220
DOIs
Publication statusPublished - 2022
Event3rd International Conference on Information Systems and Management Science, ISMS 2020 - Msida, Malta
Duration: 15-12-202017-12-2020

Publication series

NameLecture Notes in Networks and Systems
Volume303 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference3rd International Conference on Information Systems and Management Science, ISMS 2020
Country/TerritoryMalta
CityMsida
Period15-12-2017-12-20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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