Technology at the dinner table: Ordering food online through mobile apps
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Indian consumers habituated to online shopping experience through digital apps and e-commerce websites with maximum convenience and transparency would expect the same when it comes to online food ordering.
“Indian consumers habituated to online shopping experience through digital apps and e-commerce websites with maximum convenience and transparency would expect the same when it comes to the matter of online food ordering as well (Kapoor and Vij, 2018).”
From Digital Food Delivery Apps Revolutionizing Food Products Marketing in India (2019) · cites this paper as Kapoor and Vij, 2018
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
The Analysis of Covariance Structures: Goodness-of-Fit Indices
HOELTER, J. W. (1983) · Sociological Methods & Research · doi:10.1177/0049124183011003003 · Cited by 1,624 · see citing works
Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics
Devaraj, S., Fan, M., & Kohli, R. (2002) · Information Systems Research · doi:10.1287/isre.13.3.316.77 · Cited by 1,205 · see citing works
On the Go: how mobile shopping affects customer purchase behavior.
Wang, R. J.-H., Malthouse, E. C., & Krishnamurthi, L. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.01.002 · Cited by 559 · see citing works
Measuring Mobile Phone Use: Self-Report Versus Log Data
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From concerns to benefits: A comprehensive study of ChatGPT usage in education
Jo, H. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00471-4 · Cited by 146 · see citing works
Following you wherever you go: Mobile shopping ‘cart-checkout’ abandonment
Kapoor, A. P., & Vij, M. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102553 · Cited by 54 · see citing works
Self-citationDigital Food Delivery Apps Revolutionizing Food Products Marketing in India
(2019) · International Journal of Recent Technology and Engineering · doi:10.35940/ijrte.b1126.0782s619 · Cited by 43 · see citing works
“Indian consumers habituated to online shopping experience through digital apps and e-commerce websites with maximum convenience and transparency would expect the same when it comes to the matter of online food ordering as well (Kapoor and Vij, 2018).”
BackgroundExploring Features and Products in E-Commerce on Consumers Behavior Using Cognitive Affective
Pahrudin, P., Caraka, R. E., Liu, L.-W., Ugiana Gio, P., Anita Yunikawati, N., & Pardamean, B. (2025) · IEEE Access · doi:10.1109/access.2025.3553192 · Cited by 11 · see citing works
- Authors
- Kapoor, A. P., & Vij, M.
- Affiliations
- University of Delhi (IN)
- Corresponding author
- Kapoor, Anuj Pal
- ORCID
- Kapoor, Anuj Pal
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 43
- Pages
- 342-351
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W2803512669
- Cited by
- 347
- References
- 7
- Citations by year
- 2026: 21 · 2025: 52 · 2024: 44 · 2023: 72 · 2022: 57 · 2021: 62 · 2020: 26 · 2019: 12 · 2018: 1
- FWCI
- 35.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Retailing and Consumer Services (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- mobile application, purchase decision, conversion, mobile application design, visual design, information design, collaboration design, consumer choice, restaurant food delivery, India
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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