Buch, Englisch, 274 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g
Reihe: Routledge Studies in Central and Eastern European Business and Economics
Strategies for Digital Transformation, Adoption and Organisational Change
Buch, Englisch, 274 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g
Reihe: Routledge Studies in Central and Eastern European Business and Economics
ISBN: 978-1-032-79189-0
Verlag: Taylor & Francis
How did managers in manufacturing firms see the organisational role of cloud computing before, during and after the COVID-19 pandemic? Drawing on three independent surveys of manufacturing enterprises conducted in 2019, 2020 and 2022, this book documents a selective and asymmetric shift in how that role was perceived. Between the pre-pandemic and pandemic waves, the view of cloud as a source of knowledge and manufacturing capability rose significantly, while its role as infrastructure modernisation did not share in the rise, a pattern that a uniform story of accelerated adoption does not readily accommodate. To account for it, the book proposes the Pandemic Transformation Model, drawing on the Knowledge-Based View and dynamic capability theory.
The book introduces Cloud-Enabled Digital Capability, an exploratory composite construct that reveals a governance gap: after the pandemic, cloud adopters lead non-adopters in every capability domain, yet their governance and cybersecurity remain well behind their technology and human capital. Methodologically, it offers a fuzzy harmonisation framework for comparing survey waves whose instruments changed over time, and triangulates its findings through exploratory factor analysis, bootstrap inference, fuzzy association rules, hierarchical clustering and weighted regression. Throughout, it separates what the data show from what is theoretically proposed, making it a worked example of careful inference from repeated cross-sectional data.
The book will be of interest to researchers, academics and postgraduate students in information systems, innovation and technology management, operations and manufacturing management, and research methods, as well as to CIOs, digital transformation leaders and policy-makers concerned with the digitalisation of manufacturing.
Zielgruppe
Postgraduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie
Weitere Infos & Material
Part I - The Pandemic Transformation Model: Theory and Evidence 1. Theoretical Foundations and Research Framework 2. Why a Hybrid Methodological Strategy? 3. Empirical Findings Part II - Complementary Structural Analyses 4. The Network Structure of Cloud-Computing Perceptions: A Complementary Fuzzy Association Rule Analysis 5. Hierarchical Similarity Clustering of Benefit Perception Items 6. Firm Characteristics and Benefit Perception: A Weighted Least Squares Analysis Part III - Theory Development, Evaluation, and Conclusions 7. Discussion and Theory Development 8. Evaluating the Pandemic Transformation Model 9. The Logic of Inference: Separating Observation, Statistical Conclusion, and Theoretical Interpretation 10. Beyond Cloud Computing: Generalisation and Fuzzy Association Rules 11. The Internal Logic of Cloud-Enabled Digital Capability 12. Conclusions
