The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
The Hidden Minefields in the Adoption of Sales Force Automation Technologies
Abstract
Sales force automation technologies are increasingly used to support customer relationship management strategies; however, commentary in the practitioner press suggests high failure rates. The authors use identity theory as a lens to better understand salesperson perceptions associated with technology rejection. They collected survey data from 454 salespeople across two firms that had implemented sales force automation tools. The results indicate that immediately after training, salespeople had positive perceptions of the technology. However, six months after implementation, the technology had been widely rejected, and salesperson absenteeism and voluntary turnover had significantly increased. There were also significant decreases in perceptions of organizational commitment, job satisfaction, person–organization fit, and person–job fit across both firms. Finally, salespeople with stronger professional commitment indicated more negative job-related perceptions as experience with the technology increased.
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
Research in Organizational Behavior.
Grimes, A. J., Cummings, L. L., & Staw, B. M. (1986) · Administrative Science Quarterly · doi:10.2307/2392975 · Cited by 10,899
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Self-citationBraverman, H. (1974) · Monthly Review · doi:10.14452/mr-026-03-1974-07_1 · Cited by 5,505
Identity Theory and Social Identity Theory
Stets, J. E., & Burke, P. J. (2000) · Social Psychology Quarterly · doi:10.2307/2695870 · Cited by 4,464
O’Reilly, C. A., & Chatman, J. A. (1986) · Journal of Applied Psychology · doi:10.1037//0021-9010.71.3.492 · Cited by 4,072
Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory
DeSanctis, G., & Poole, M. S. (1994) · Organization Science · doi:10.1287/orsc.5.2.121 · Cited by 3,879
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The Role of Relational Information Processes and Technology Use in Customer Relationship Management
Jayachandran, S., Sharma, S., Kaufman, P., & Raman, P. (2005) · Journal of Marketing · doi:10.1509/jmkg.2005.69.4.177 · Cited by 966
Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research.
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Self-citationTechnostress: negative effect on performance and possible mitigations
Tarafdar, M., Pullins, E. B., & Ragu‐Nathan, T. S. (2015) · Information Systems Journal · doi:10.1111/isj.12042 · Cited by 791
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Metadata
- Authors
- Speier, C., & Venkatesh, V.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2002-07
- Volume
- 66
- Issue
- 3
- Pages
- 98-111
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2087151252
- Cited by
- 485
- References
- 65
- FWCI
- 45.85
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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