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William L. Cron

Researcher at Texas Christian University

Publications -  51
Citations -  5813

William L. Cron is an academic researcher from Texas Christian University. The author has contributed to research in topics: Sales management & Job performance. The author has an hindex of 27, co-authored 50 publications receiving 5510 citations. Previous affiliations of William L. Cron include Ruhr University Bochum & Southern Methodist University.

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The role of goal orientation following performance feedback.

TL;DR: Data analysis indicated that the relationships between the 3 goal orientation dimensions and the performance event were differentially mediated by goal setting, self-efficacy, and effort.
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The Influence of Goal Orientation and Self-Regulation Tactics on Sales Performance: A Longitudinal Field Test

TL;DR: This paper investigated the influence of goal orientation on sales performance in a longitudinal field study with salespeople and found that a learning goal orientation had a positive relationship with sales performance and that this relationship was mediated by three self-regulation tactics: goal setting, effort, and planning.
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A Maximum Likelihood Methodology for Clusterwise Linear Regression

TL;DR: This paper presented a conditional mixture, maximum likelihood methodology for clusterwise linear regression, which simultaneously estimates separate regression functions and membership in K clusters or groups, and performed a Monte Carlo analysis via a fractional factorial design.
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Effects of Trait Competitiveness and Perceived Intraorganizational Competition on Salesperson Goal Setting and Performance

TL;DR: In this article, the authors assess the effects of trait competitiveness and competitive psychological climate on self-set goal levels and sales performance and find that there is an interaction between trait compet...
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The relationship between computerization and performance: A strategy for maximizing the economic benefits of computerization

TL;DR: Results indicate that computerization is related to overall performance, and users versus non-users of computers, three levels of usage, and class of computer usage indicate that non- users tend to be small firms with about average overall performance.