ISBN:
9781839100161
Language:
English
Pages:
1 Online-Ressource (272 Seiten)
Parallel Title:
Erscheint auch als
Keywords:
Big Data
;
Künstliche Intelligenz
;
KMU
;
Small business
;
Technology
;
Electronic books
;
Aufsatzsammlung
Abstract:
Contents: Introduction / Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter and Torsten Ringberg -- Part I: Foundations: Getting the basics right -- 1. Building small business utopia: How artificial intelligence and big data can increase small business success / Karen G. Mills and Annie V. Dang -- 2. Gdpr compliant processing of big data in small business.
Abstract:
"This important book considers the ways in which small and medium-sized enterprises (SMEs) can thrive in the age of big data. To address this central issue from multiple viewpoints, the editors introduce a collection of experiences, insights, and guidelines from a variety of expert researchers, each of whom provides a piece to solve this puzzle. Contributions address the limitations faced by SMEs in their access to data and demonstrate that the key to overcoming this issue is to be aware of these limitations, to work within them, and to use them to think creatively about how to overcome obstacles in new ways. They discuss Artificial Intelligence, revenue blueprinting, GDPR compliance and other key topics related to the relationships between SMEs and data. Offering ideas to inspire big data-driven success by SMEs making smaller investments, the book argues that there must be a place for "ordinary" data-driven journeys that are available to firms of any size. Stimulating further thought and action, Big Data in Small Business will be of great interest to academics, researchers and practitioners in areas such as strategic management, organizational and innovation studies, marketing and sales. The ideas and information in this book will help fill knowledge gaps related to important aspects of capabilities, functions, and transformations of big data that drive business growth"--
Note:
Includes bibliographical references and index
DOI:
10.4337/9781839100161
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