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Ambidextrous Organizations in the Big Data Era: The Role of Information Systems

Autor Riccardo Rialti, Giacomo Marzi
en Limba Engleză Paperback – 23 ian 2021
Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these systems can be used to enhance organizational agility and flexibility, generally considered to be two key determinants of organizational ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact of big data on ambidextrous organizations and how current organizational structures can be modified in order to improve big data analytics and implement big data-capable information systems.
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Specificații

ISBN-13: 9783030365868
ISBN-10: 3030365867
Pagini: 98
Ilustrații: XI, 98 p. 6 illus., 3 illus. in color.
Dimensiuni: 148 x 210 mm
Greutate: 0.15 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Palgrave Pivot
Locul publicării:Cham, Switzerland

Cuprins

Chapter 1: The Modern Organization, Data, and Better Performances.- Chapter 2: Setting the stage. BDA, Dynamic Capabilities and Ambidexterity, what we know so far?.- Chapter 3: From Big Data to Performance: The Importance of Ambidexterity, Agility and BDA Integration in Business Processes.  A Theory-Based Framework.- Chapter 4: Agility through BDA and Ambidexterity. Some Empirical Evidence from Managers’ Experiences.- Chapter 5: Conclusion.

Notă biografică

Riccardo Rialti, PhD, is a Research Fellow at the University of Florence, Italy, and an Adjunct Professor of Product Management at the Polimoda Fashion Institute. Riccardo has been a visiting student at several institutions including the University of Lincoln and Middlesex University London in the UK, Sophia University in Japan, and the ESCP Business School. He is currently researching the impact of big data and artificial intelligence on organizations and has published widely in several international journals, such as Technological Forecasting and Social Change, the Business Process Management Journal, and Management Decision.
Giacomo Marzi, PhD, is a Lecturer in Strategy and Enterprise at Lincoln International Business School, University of Lincoln, UK. His research interests revolve around innovation management and new product development. Within this domain, he focuses on the application of agile principles to new product development and other issues related to new product development and uncertainty. Giacomo has published several articles in leading business journals such as the Journal of Business Research, the International Journal of Production Research, and IEEE Transactions on Engineering Management. He is also a member of various scientific societies and an active speaker at several globally recognized conferences.

Textul de pe ultima copertă

Addressing the effect of big data analytics-capable information systems on organizational ambidexterity, this book investigates how these systems can be used to enhance organizational agility and flexibility, generally considered to be two key determinants of organizational ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact of big data on ambidextrous organizations and how current organizational structures can be modified in order to improve big data analytics and implement big data-capable information systems.
Riccardo Rialti, PhD, is a Research Fellow at the University of Florence, Italy, and an Adjunct Professor of Product Management at the Polimoda Fashion Institute. Riccardo has been a visiting student at several institutions including the University of Lincoln and Middlesex University London in the UK, Sophia University in Japan, and the ESCP Business School. He is currently researching the impact of big data and artificial intelligence on organizations and has published widely in several international journals, such as Technological Forecasting and Social Change, the Business Process Management Journal, and Management Decision. Giacomo Marzi, PhD, is a Lecturer in Strategy and Enterprise at Lincoln International Business School, University of Lincoln, UK. His research interests revolve around innovation management and new product development. Within this domain, he focuses on the application of agile principles to new product development and other issues related to new product development and uncertainty. Giacomo has published several articles in leading business journals such as the Journal of Business Research, the International Journal of Production Research, and IEEE Transactions on Engineering Management. He is also a member of various scientific societies and an active speaker at several globally recognized conferences.


Caracteristici

Investigates how big data analytics-capable information systems can be used to enhance organizational agility and flexibility Highlights the opportunities for businesses rather than the burden that big data can represent Discusses the impact of big data on ambidextrous organizations Explains how current organizational structures can be modified in in order to improve big data analytics and implement big data-capable information systems