The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Sales force use of technology: antecedents to technology acceptance
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
An updated paradigm for scale development incorporating unidimensionality and its assessment
Gerbing, D. W., & Anderson, J. C. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500207 · Cited by 6,293
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
Agarwal, R., & Prasad, J. (1998) · Information Systems Research · doi:10.1287/isre.9.2.204 · Cited by 3,575
Examining the technology acceptance model using physician acceptance of telemedicine technology
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518247 · Cited by 1,951
AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE
MORRIS, M. G., & VENKATESH, V. (2000) · Personnel Psychology · doi:10.1111/j.1744-6570.2000.tb00206.x · Cited by 1,723
Innovativeness: The Concept and Its Measurement
Midgley, D. F., & Dowling, G. R. (1978) · Journal of Consumer Research · doi:10.1086/208701 · Cited by 1,550
Research works printed but not linked: 23
- Adams, 1992, Perceived usefulness, ease of use, and usage of information, MIS Q., 16, 227, 10.2307/249577 · DOI · Paper page
- Agarwal, 1999, Are individual differences germane to the acceptance of new information technologies?, Decis. Sci., 30, 361, 10.1111/j.1540-5915.1999.tb01614.x · DOI · Paper page
- Alavi, 1992, Revisiting DSS implementation research: a meta-analysis of the literature and suggestions for researchers, MIS Q., 16, 95, 10.2307/249703 · DOI · Paper page
- Anderson, 1988, Structural equation modeling in practice: a review and recommended two-step approach, Psychol. Bull., 103, 411, 10.1037/0033-2909.103.3.411 · DOI · Paper page
- Baronas, 1988, Restoring a sense of control during implementation: how user involvement leads to system acceptance, MIS Q., 12, 111, 10.2307/248811 · DOI · Paper page
- Chin, 1995, On the use, usefulness, and ease of use of structural equation modelling in MIS research: a note of caution, MIS Q., 19, 237, 10.2307/249690 · DOI · Paper page
- Conner, 1991, Software piracy: an analysis of protection strategies, Manage. Sci., 37, 125, 10.1287/mnsc.37.2.125 · DOI · Paper page
- Cron, 1986, The influence of career stages on salespeople's job attitudes, work perceptions, and performance, J. Mark. Res., 23, 119, 10.2307/3151659 · doi:10.2307/3151659
- Cron, 1986, Career-stages approach to managing the sales force, J. Bus. Ind. Mark., 1, 51, 10.1108/eb006013 · doi:10.1108/eb006013
- Cronbach, 1951, Coefficient alpha and the internal structure of tests, Psychometrika, 16, 297, 10.1007/BF02310555 · DOI · Paper page
- Davis, 1989, User acceptance of computer technology: a comparison of two theoretical models, Manage. Sci., 35, 982, 10.1287/mnsc.35.8.982 · DOI · Paper page
- Flynn, 1993, A validation of the Goldsmith and Hofacker innovativeness scale, Educ. Psychol. Meas., 53, 1105, 10.1177/0013164493053004023 · DOI · Paper page
- Green, Gina G. Examining the impacts of developer involvement and IT diffusion environment on the diffusion of software development techniques. Tampa, FL: University of South Florida, College of Business Administration, doctoral dissertation; 1998.
- Keillor, 1997, Sales force automation issues prior to implementation: the relationship between attitudes toward technology experience and productivity, J. Bus. Ind. Mark., 12, 209, 10.1108/08858629710188045 · DOI
- Marshall, 1999, The current state of sales force activities, Ind. Mark. Manage., 28, 87, 10.1016/S0019-8501(98)00025-X · DOI · Paper page
- Morgan, 2001, Technology and the sales force, Ind. Mark. Manage., 30, 463, 10.1016/S0019-8501(99)00115-7 · DOI
- Nelson, 1990, Individual adjustment to information driven technologies: a critical review, MIS Q., 14, 79, 10.2307/249311 · DOI · Paper page
- Parthasarathy, 1997, Sales force automation and the adoption of technological innovations by salespeople: theory and implications, J. Bus. Ind. Mark., 12, 196, 10.1108/08858629710188036 · DOI
- Rivers, 1999, The acquisition and use of sales force automation by mid-sized manufacturers, J. Pers. Sell. Sales Manage., 19, 59
- Slocum, 1985, Job attitudes and performance through three career stages, J. Vocat. Behav., 26, 126, 10.1016/0001-8791(85)90013-2 · DOI · Paper page
- Sujan, 1986, Smarter versus harder: an exploratory attributional analysis of salespeople's motivation, J. Mark. Res., 23, 41, 10.2307/3151775 · doi:10.2307/3151775
- Sujan, 1988, Increasing sales productivity by getting salespeople to work smarter, J. Pers. Sell. Sales Manage., 8, 9
- Zmud, 1979, Individual differences and MIS success: a review of the empirical literature, Manage. Sci., 25, 966, 10.1287/mnsc.25.10.966 · DOI · Paper page
Cited by
The acceptance and use of a virtual learning environment in China
van Raaij, E. M., & Schepers, J. J. L. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.09.001 · Cited by 940
Technology Acceptance among Physicians: A New Take on TAM
Yarbrough, A. K., & Smith, T. B. (2007) · Medical Care Research and Review · doi:10.1177/1077558707305942 · Cited by 482
Huang, T.-L., & Liao, S. (2015) · Electronic Commerce Research · doi:10.1007/s10660-014-9163-2 · Cited by 476
Marketing AI recruitment: The next phase in job application and selection
van Esch, P., Black, J. S., & Ferolie, J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.09.009 · Cited by 391
An Analysis of Factors Affecting on Online Shopping Behavior of Consumers
Moshrefjavadi, M. H., Rezaie Dolatabadi, H., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. (2012) · International Journal of Marketing Studies · doi:10.5539/ijms.v4n5p81 · Cited by 383
Metadata
- Authors
- Robinson, L., Marshall, G. W., & Stamps, M. B.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2005-12
- Volume
- 58
- Issue
- 12
- Pages
- 1623-1631
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2039574106
- Cited by
- 203
- References
- 8
- FWCI
- 16.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
About these checks
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Sales force use of technology: antecedents to technology acceptance. https://app.cochat.ai/papers/10.1016/j.jbusres.2004.07.010
- The paper
- Robinson, L., Marshall, G. W., & Stamps, M. B. (2005). Sales force use of technology: antecedents to technology acceptance. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2004.07.010
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.