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商品詳細
Data-Centric Business and Applications: Data-Driven Management - How Digital Transformation Shapes New Organizational Paradigms and Brings Challenges and Opportunities for the Modern Era.
・ISBN 978-3-032-24047-7 paper EUR 229.99
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| 著者・編者 | Madzik, Peter / Copus, Lukas / Carnogursky, Karol (eds.), |
|---|---|
| シリーズ | (Lecture Notes on Data Engineering and Communications Technologies) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 547 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-63051＞ |
解説
Digital transformation is reshaping how organizations create value, manage resources, and respond to an increasingly complex global environment. Data-Centric Business and Applications: Data-Driven Management - How Digital Transformation Shapes New Organizational Paradigms and Brings Challenges and Opportunities for the Modern Era brings together peer-reviewed research presented at the Poprad Economic and Management Forum (PEMF2025), offering a comprehensive view of how data-driven technologies are redefining management theory and practice.
The volume explores the strategic and operational implications of emerging digital technologies, including artificial intelligence, big data analytics, the Internet of Things, and blockchain. Through interdisciplinary perspectives, the chapters examine how organizations can use these technologies to strengthen decision-making, enhance operational efficiency, and build resilient, human-centric management systems capable of adapting to disruptive change.
Structured around three thematic pillars, the book addresses key areas of contemporary management research. The first section focuses on Industry 4.0 and supply-chain digitalization, analysing how connected technologies improve transparency, coordination, and resilience across global value networks. The second section examines human resource management in the digital era, highlighting how organizations can integrate digital tools with organizational culture to support employee engagement, competence development, and sustainable workforce management. The final section revisits management and economic concepts for digital leadership, discussing how traditional management frameworks evolve in response to data-driven decision environments and digital ecosystems.
Combining theoretical insights with empirical research and practical perspectives, the volume provides valuable knowledge for researchers, postgraduate students, and practitioners interested in the future of digital management. By linking technological innovation with organizational transformation, the book contributes to ongoing debates on how data-centric approaches can support sustainable and resilient organizational development in the digital era.