The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Success Factors and Impacts of Mobile Business Applications: Results from a Mobile e-Procurement Study
Abstract
Based on the concept of task/technology fit, a research framework and exploratory case study are presented that assess success factors and impacts of mobile business applications. Preliminary empirical evidence for the applicabilit y of the framework was obtained for a mobile electronic procurement system implemented at a Fortune 100 company. For different user groups, the relationships between the characteristics of technology and tasks, usage, and organizational impacts were analyzed. The results indicate a need for simple but highly functional mobile applications that complement existing information systems. The study provides a basis for further research to improve the design and management of business applications based on emerging technologies.
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Cites
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
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006
Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings
Tornatzky, L. G., & Klein, K. J. (1982) · IEEE Transactions on Engineering Management · doi:10.1109/tem.1982.6447463 · Cited by 3,280
The New Science of Management Decision
Hershauer, J. C., & Simon, H. A. (1978) · The Academy of Management Review · doi:10.2307/257591 · Cited by 3,200
Information Technology Implementation Research: A Technological Diffusion Approach
Cooper, R. B., & Zmud, R. W. (1990) · Management Science · doi:10.1287/mnsc.36.2.123 · Cited by 2,765
Managerial Fads and Fashions: The Diffusion and Rejection of Innovations
Abrahamson, E. (1991) · The Academy of Management Review · doi:10.2307/258919 · Cited by 2,281
Planning and Control Systems: A Framework for Analysis
Anthony, R. N. (1965) · Medical Entomology and Zoology · Cited by 2,226
Extending the technology acceptance model with task–technology fit constructs
Dishaw, M. T., & Strong, D. M. (1999) · Information & Management · doi:10.1016/s0378-7206(98)00101-3 · Cited by 1,772
In the Age of the Smart Machine
Zuboff, S. (1988) · Cited by 1,516
Unifying the fragmented models of information systems implementation
Kwon, T.-H., & Zmud, R. W. (1987) · John Wiley & Sons, Inc. eBooks · Cited by 1,463
Cited by
WebQual: An Instrument for Consumer Evaluation of Web Sites
Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2007) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415110302 · Cited by 812
Mobile computing acceptance factors in the healthcare industry: a structural equation model
Wu, J.-H., Wang, S.-C., & Lin, L.-M. (2007) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.06.006 · Cited by 603
Successful use of e‐procurement in supply chains
Puschmann, T., & Alt, R. (2005) · Supply Chain Management: An International Journal · doi:10.1108/13598540510589197 · Cited by 267
Adoption of mobile technology in business: a fit‐viability model
Liang, T., Huang, C., Yeh, Y., & Lin, B. (2007) · Industrial Management & Data Systems · doi:10.1108/02635570710822796 · Cited by 265
Wang, L., Wang, Z., Wang, X., & Zhao, Y. (2021) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2021.101080 · Cited by 63
Metadata
- Authors
- Gebauer, J., & Shaw, M. J.
- Venue
- International Journal of Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2004-04
- Volume
- 8
- Issue
- 3
- Pages
- 19-41
- ISSN
- 1086-4415 (ISSN-L)
- 1557-9301
- OpenAlex
- W1581015299
- Cited by
- 296
- References
- 29
- FWCI
- 40.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gebauer, J., & Shaw, M. J. (2004). Success Factors and Impacts of Mobile Business Applications: Results from a Mobile e-Procurement Study. International Journal of Electronic Commerce. https://doi.org/10.1080/10864415.2004.11044304
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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.
