Pricing and monetization · Empirical survey/model testing of motivation in forecasting
Motivating the industrial sales force in the sales forecasting process
Teresa M. McCarthy Byrne, Mark A. Moon, John T. Mentzer (2011). Motivating the industrial sales force in the sales forecasting process. Industrial Marketing Management. https://doi.org/10.1016/j.indmarman.2010.06.003.
Plain-English take
Analyzes motivational mechanisms affecting industrial sales-force participation in forecasting. For your marketing: Use the study to frame a pricing or packaging hypothesis and identify outcomes to measure; estimate effects with your own customer mix and willingness-to-pay evidence.
How much weight to give this
2.5/5 Evidence needs cautious interpretation
The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.
Empirical survey/model testing of motivation in forecasting
Industrial salespeople participating in sales forecasting
Judged from the publisher-described design and comparison; inspect the paper for complete analysis.
Publisher page and abstract were retrieved directly; full text was not assumed open.
Double-blind? Blinding was not established from the retrieved publisher record.
Research question
What the authors investigated
How can industrial salespeople be motivated to contribute to forecasting?
Design
Empirical survey/model testing of motivation in forecasting
Sample and setting
Industrial salespeople participating in sales forecasting
Reported result
What the study found
Analyzes motivational mechanisms affecting industrial sales-force participation in forecasting.
This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.
Scope and transfer
Limitations to keep in view
Forecasting and motivation measures are context-bound and observational; common-method and generalization risks remain.
Possible founder application
Use the study to frame a pricing or packaging hypothesis and identify outcomes to measure; estimate effects with your own customer mix and willingness-to-pay evidence.
Evidence access
Publisher record and abstract retrieved; consult the linked paper for full methods and tables.
Publisher DOI landing page identifies the exact title, authors, journal record and empirical-design sections/abstract: https://doi.org/10.1016/j.indmarman.2010.06.003 Direct publisher-page retrieval was recorded on 2026-10-09; this profile uses the publisher abstract/metadata and does not claim independent review of unavailable full text.
If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.