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The role of competitive strategy in the performance impact of exploitation and exploration quality management practices

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TLDR
In this article, the impact of exploitative and explorative QM practices on performance is investigated in a sample of German pharmaceutical firms and the results show that the impact is dependent on the competitive strategy pursued.
Abstract
This study aims to advance understanding about quality management (QM) practices by clarifying how competitive strategy conditions the impacts of exploitative and explorative QM practices on performance.,The authors apply partial least squares structural equation modeling to data from a sample of German pharmaceutical firms.,The results show that the impact of exploitative and explorative QM practices on firm performance is contingent on the competitive strategy pursued. Explorative QM practices are significantly more relevant for firms following a differentiation strategy, whereas exploitative QM practices are significantly more relevant for cost leaders. Furthermore, for strategically ambidextrous firms that follow simultaneously a cost and a differentiation focus, the interplay of the two QM practices matters.,This paper contributes to understanding which kind of management practices, exploitative and/or explorative, have greater performance impacts under certain competitive strategy conditions.

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References
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Common method biases in behavioral research: a critical review of the literature and recommended remedies.

TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
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Exploration and Exploitation in Organizational Learning

TL;DR: In this paper, the authors consider the relation between the exploration of new possibilities and the exploitation of old certainties in organizational learning and examine some complications in allocating resources between the two, particularly those introduced by the distribution of costs and benefits across time and space.
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Self-Reports in Organizational Research: Problems and Prospects

TL;DR: In this paper, the authors identify six categories of self-reports and discuss such problems as common method variance, the consistency motif, and social desirability, as well as statistical and post hoc remedies and some procedural methods for dealing with artifactual bias.
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How Many Interviews Are Enough?: An Experiment with Data Saturation and Variability

TL;DR: The authors operationalize saturation and make evidence-based recommendations regarding nonprobabilistic sample sizes for interviews and found that saturation occurred within the first twelve interviews, although basic elements for metathemes were present as early as six interviews.
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A new criterion for assessing discriminant validity in variance-based structural equation modeling

TL;DR: In this paper, the heterotrait-monotrait ratio of correlations is used to assess discriminant validity in variance-based structural equation modeling. But it does not reliably detect the lack of validity in common research situations.
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