The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.
Drivers of sales performance: a contemporary meta-analysis. Have salespeople become knowledge brokers?
Open accessAbstract
It has been 25 years since the publication of a comprehensive review of the full spectrum of sales-performance drivers. This study takes stock of the contemporary field and synthesizes empirical evidence from the period 1982–2008. The authors revise the classification scheme for sales performance determinants devised by Walker et al. ( 1977 ) and estimate both the predictive validity of its sub-categories and the impact of a range of moderators on determinant-sales performance relationships. Based on multivariate causal model analysis, the results make two major observations: (1) Five sub-categories demonstrate significant relationships with sales performance: selling-related knowledge (β = .28), degree of adaptiveness (β = .27), role ambiguity (β = −.25), cognitive aptitude (β = .23) and work engagement (β = .23). (2) These sub-categories are moderated by measurement method, research context, and sales-type variables. The authors identify managerial implications of the results and offer suggestions for further research, including the conjecture that as the world is moving toward a knowledge-intensive economy, salespeople could be functioning as knowledge-brokers. The results seem to back this supposition and indicate how it might inspire future research in the field of personal selling.
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
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
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
A conceptual model of service quality and its implications for future research
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985) · Journal of Marketing · doi:10.1177/002224298504900403 · Cited by 21,645
Increasing returns and long-run growth
Romer, P. M. (1986) · Journal of Political Economy · doi:10.1086/261420 · Cited by 20,149
(1993) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(93)91697-o · Cited by 18,154
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Evolving to a New Dominant Logic for Marketing
Vargo, S. L., & Lusch, R. F. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.1.24036 · Cited by 14,779
Agency Theory: An Assessment and Review
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.5465/amr.1989.4279003 · Cited by 13,338
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.397 · Cited by 12,852
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
Cited by
Syam, N., & Sharma, A. (2018) · Industrial Marketing Management · doi:10.1016/j.indmarman.2017.12.019 · Cited by 852
Buyers’ perceived switching costs and switching: a meta-analytic assessment of their antecedents
Pick, D., & Eisend, M. (2014) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-013-0349-2 · Cited by 173
Moriuchi, E. (2020) · Psychology & Marketing · doi:10.1002/mar.21301 · Cited by 32
Finch, D., Hillenbrand, C., O’Reilly, N., & Varella, P. (2015) · Journal of Marketing Management · doi:10.1080/0267257x.2015.1076496 · Cited by 15
Metadata
- Authors
- Verbeke, W., Dietz, B., & Verwaal, E.
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2010-08-12
- Volume
- 39
- Issue
- 3
- Pages
- 407-428
- ISSN
- 0092-0703 (ISSN-L)
- 1552-7824
- OpenAlex
- W2139898527
- Cited by
- 630
- References
- 119
- FWCI
- 16.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Drivers of sales performance: a contemporary meta-analysis. Have salespeople become knowledge brokers? https://app.cochat.ai/papers/10.1007/s11747-010-0211-8
- The paper
- Verbeke, W., Dietz, B., & Verwaal, E. (2011). Drivers of sales performance: a contemporary meta-analysis. Have salespeople become knowledge brokers? Journal of the Academy of Marketing Science. https://doi.org/10.1007/s11747-010-0211-8
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.