Journal ArticleDOI
Job demand stressors and employees’ creativity: a within-person approach to dealing with hindrance and challenge stressors at the airport environment
Collins Opoku Antwi,Chong-jun Fan,Michael Osei Aboagye,Patrick Brobbey,Yasin Jababu,Emmanuel Affum-Osei,Philip Avornyo +6 more
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In this paper, a thorough investigation into employees' creativistic creativity is conducted to evaluate the competitiveness of twenty-first-century airport landscape, catalyzed by airports' evolution toward multi-service, and market-driven firms.Abstract:
Given the competitiveness of twenty-first-century airport landscape, catalyzed by airports’ evolution toward multi-service, and market-driven firms, a thorough investigation into employees’ creativ...read more
Citations
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Using Multivariate Statistics
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
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Creativity in Context: Update to "The Social Psychology of Creativity"
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The link between environmental uncertainty, organizational agility, and organizational creativity in the hotel industry
TL;DR: In this article, the authors investigated the relationship between environmental uncertainty, organizational creativity, and organizational agility in the hospitality industry and found that organizational agility moderates the negative impacts of competitive and technological uncertainty on organizational creativity.
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Knowledge-sharing efforts and employee creative behavior: the invigorating roles of passion for work, time sufficiency and procedural justice
Dirk De Clercq,Renato Pereira +1 more
TL;DR: By detailing the interactive routes by which knowledge-sharing efforts and distinct resources promote employee creative behavior, this study pinpoints the circumstances in which intra-organizational knowledge exchange can generate the greatest value, in terms of enhancing creativity.
References
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The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.
Reuben M. Baron,David A. Kenny +1 more
TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Journal ArticleDOI
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.
Book
Stress, appraisal, and coping
Richard S. Lazarus,Susan Folkman +1 more
TL;DR: In this paper, the authors present a detailed theory of psychological stress, building on the concepts of cognitive appraisal and coping, which have become major themes of theory and investigation in psychology.
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Structural equation modeling in practice: a review and recommended two-step approach
TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
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