The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Understanding the intention to use mobile shopping applications and its influence on price sensitivity
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Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
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
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc-rcessc.v1i1.25 · Cited by 38,891
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Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Sources of method bias in social science research and recommendations on how to control it
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Cited by
Understanding the attitude and intention to use smartphone chatbots for shopping
Kasilingam, D. L. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101280 · Cited by 636
Self-citationMarriott, H. R., & Williams, M. D. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.01.017 · Cited by 270
Terblanche, N., & Kidd, M. (2022) · Sage Open · doi:10.1177/21582440221096136 · Cited by 120
PLS–SEM in business promotion strategies. A multigroup analysis of mobile coupon users using MICOM
Carranza, R., Díaz, E., Martín-Consuegra, D., & Fernández-Ferrín, P. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-12-2019-0726 · Cited by 72
Rise of the Machines? The Evolving Role of AI Technologies in High-Stakes Assessment
Richardson, M., & Clesham, R. (2021) · London Review of Education · doi:10.14324/lre.19.1.09 · Cited by 48
Metadata
- Authors
- Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L.
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 37
- Pages
- 8-22
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W2594641613
- Cited by
- 396
- References
- 94
- FWCI
- 48.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Understanding the intention to use mobile shopping applications and its influence on price sensitivity. https://app.cochat.ai/papers/10.1016/j.jretconser.2017.02.010
- The paper
- Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its influence on price sensitivity. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2017.02.010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.