Matsunaga

Employee Uncertainty Over Digital Transformation

Mechanisms and Solutions

Springer

ISBN 9789819984084

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90,94 €

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auch verfügbar als eBook (PDF) für 64,19 €

Bibliografische Daten

Fachbuch

Buch. Hardcover

2024

20 s/w-Abbildungen.

In englischer Sprache

Umfang: xix, 208 S.

Format (B x L): 15,5 x 23,5 cm

Gewicht: 512

Verlag: Springer

ISBN: 9789819984084

Produktbeschreibung

This book delves into the psychological and behavioral impact of the advent of digital transformation (DX) on white-collar employees in the modern organizational context. It uncovers how DX-driven uncertainty affects these workers' professional identity, self-efficacy, and job performance from a communication-centered perfective. While effective leadership can serve as a buffer, the intricate dynamics of these relationships await further exploration.
To unravel these complex issues, the book employs an array of theoretical frameworks that have been tested against large, time-separated, dyadic datasets collected in Japan. In so doing, the studies introduced in this book illuminate how employees make sense of and communicate the uncertainties they face. Furthermore, it highlights a vision-driven leadership style and scrutinizes its unique attributes and limitations for addressing team members' uncertainty.
This book is indispensablefor executives and managers; it is a roadmap to steering digital transformation efforts without igniting resistance or conflict among frontline staff. For researchers, it's an invaluable resource for analyzing the mechanism of uncertainty management in today's fast-paced, tech-centric environments. Moreover, the book bridges the gap between interpersonal communication studies and other pivotal disciplines, such as leadership, management, organizational behavior, and social psychology in the context of stress and coping with uncertainty.

Autorinnen und Autoren

Kundeninformationen

Draws on a novel, communication-centered theoretical framework, applied in modern, organizational context Utilizes large, time-separated data collected from employee–supervisor dyads working at companies adopting DX Explores the underlying mechanisms of employees’ appraisal of the uncertainty over DX and related outcomes

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