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Jeffrey B. Arthur

Researcher at Virginia Tech

Publications -  21
Citations -  5125

Jeffrey B. Arthur is an academic researcher from Virginia Tech. The author has contributed to research in topics: Organizational performance & Organizational learning. The author has an hindex of 12, co-authored 20 publications receiving 4877 citations. Previous affiliations of Jeffrey B. Arthur include Fairfield University & Pamplin College of Business.

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Effects of human resource systems on manufacturing performance and turnover

TL;DR: In this paper, the authors used an empirical taxonomy identifying two types of human resource systems, "control" and "commitment", to test the strategic human resource proposition that specific combinations of policies and practices are useful in predicting differences in performance and turnover across steel minimills.
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The Link between Business Strategy and Industrial Relations Systems in American Steel Minimills

TL;DR: In this paper, the authors test the "strategic choice" proposition that variation in workplace industrial relations policies and practices is related to differences in business strategy and find that it is the case.
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Validating the human resource system structure: A levels-based strategic HRM approach

TL;DR: In this paper, the authors draw on previous strategic HRM literature and insights from organizational levels of analysis literature to explicate a levels-based HR systems approach for validating the HR systems structure.
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Ramping up the Organizational Learning Curve: Assessing the Impact of Deliberate Learning on Organizational Performance Under Gainsharing

TL;DR: In this paper, the authors examined how suggestion-based employee knowledge generated through a gainsharing productivity improvement program affected organizational performance, and they proposed that in addition to an o...
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Gainsharing and Organizational Learning: An Analysis of Employee Suggestions Over Time

TL;DR: In this article, the authors propose a model of gainsharing as an organizational learning system and analyze employee suggestions submitted over the first four years of a gain sharing plan at one plant.