Viser: Big Data in Small Business
Big Data in Small Business
Data-Driven Growth in Small and Medium Sized Enterprises
Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter og Torsten Ringberg
(2021)
Sprog: Engelsk
Edward Elgar Publishing, Incorporated
1.999,00 kr.
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Big Data in Small Business Vital Source e-bog
Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter og Torsten Ringberg
(2021)
Edward Elgar Publishing
376,00 kr.
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Detaljer om varen
- Hardback: 272 sider
- Udgiver: Edward Elgar Publishing, Incorporated (September 2021)
- Forfattere: Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter og Torsten Ringberg
- ISBN: 9781839100154
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 Businesswill 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.
Contents:Introduction 1Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter and Torsten Ringberg
PART I FOUNDATIONS: GETTING THE BASICS RIGHT1 Building small business utopia: how artificial intelligence and Big Datacan increase small business success 11Karen G. Mills and Annie V. Dang 2 GDPR compliant processing of big data in small business 27Jan Trzaskowski 3 Big Data and SMEs 40Vania Sena and Sena Ozdemir
PART II CAPABILITIES: GETTING DIGITIZATION RIGHT4 Value-creation for Industry
4.0 and SMEs' data-driven growth:strategies and resource alignment 64Bieke Struyf, Wouter Van Bockhaven and Paul Matthyssens 5 Analyzing and developing digitization capabilities for data-drivenprojects in SMEs 104Carsten Lund Pedersen and Thomas Ritter 6 How a glass-processing SME developed its big data competence 117Joel Mero, Heikki Karjaluoto and Tanja Tammisalo 7 Big data in and for small business: data excellence in SMEs throughengagement in university partnerships 129Shirley Y. Coleman
PART III FUNCTIONS: GETTING ALL BUSINESS AREAS INTO BIGDATA MODE8 Capitalizing on human capital analytics in small and medium-sized enterprises 146Frederikke Amalie La Cour Nygaard and Dana Minbaeva 9 How experimental data can optimize e-learning 164Camilla Nellemann and Torben Pedersen 10 How do big data impact business market relationships? 174Poul Houman Andersen 11 Revenue blueprinting: identifying growth potential using customer dataand customer insights 193Henrik Andersen and Thomas Ritter
PART IV TRANSFORMATIONS: GETTING THERE THE RIGHT WAY12 Transforming small and medium-sized enterprises (SMEs) to digitallyenabled landscapes 211Bård Tronvoll, Christian Kowalkowski and David Sörhammar 13 Facilitating big data transformation in Danish SMEs: insights for managers 228Pernille Rydén and Helle RootzénIndex
PART I FOUNDATIONS: GETTING THE BASICS RIGHT1 Building small business utopia: how artificial intelligence and Big Datacan increase small business success 11Karen G. Mills and Annie V. Dang 2 GDPR compliant processing of big data in small business 27Jan Trzaskowski 3 Big Data and SMEs 40Vania Sena and Sena Ozdemir
PART II CAPABILITIES: GETTING DIGITIZATION RIGHT4 Value-creation for Industry
4.0 and SMEs' data-driven growth:strategies and resource alignment 64Bieke Struyf, Wouter Van Bockhaven and Paul Matthyssens 5 Analyzing and developing digitization capabilities for data-drivenprojects in SMEs 104Carsten Lund Pedersen and Thomas Ritter 6 How a glass-processing SME developed its big data competence 117Joel Mero, Heikki Karjaluoto and Tanja Tammisalo 7 Big data in and for small business: data excellence in SMEs throughengagement in university partnerships 129Shirley Y. Coleman
PART III FUNCTIONS: GETTING ALL BUSINESS AREAS INTO BIGDATA MODE8 Capitalizing on human capital analytics in small and medium-sized enterprises 146Frederikke Amalie La Cour Nygaard and Dana Minbaeva 9 How experimental data can optimize e-learning 164Camilla Nellemann and Torben Pedersen 10 How do big data impact business market relationships? 174Poul Houman Andersen 11 Revenue blueprinting: identifying growth potential using customer dataand customer insights 193Henrik Andersen and Thomas Ritter
PART IV TRANSFORMATIONS: GETTING THERE THE RIGHT WAY12 Transforming small and medium-sized enterprises (SMEs) to digitallyenabled landscapes 211Bård Tronvoll, Christian Kowalkowski and David Sörhammar 13 Facilitating big data transformation in Danish SMEs: insights for managers 228Pernille Rydén and Helle RootzénIndex
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Edward Elgar Publishing (Januar 2021)
- Forfattere: Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter og Torsten Ringberg
- ISBN: 9781839100161
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.
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Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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