Big data in small business : data-driven growth in small and medium-sized enterprises / edited by Carsten Lund Pedersen [and three others].

Format:

Book

Contributor:

Edward Elgar Publishing, publisher.

Pedersen, Carsten Lund, editor.

Language:

English

Subjects (All):

Small business--Data processing.

Small business.

Big data--Economic aspects.

Big data.

Physical Description:

1 online resource (xvi, 253 pages) : illustrations (some color)

Place of Publication:

Northampton, England : Edward Elgar Publishing, [2021]

Summary:

"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."-- Provided by publisher.

Contents:

Introduction to "Big data in small business / Carsten Lund Pedersen, Adam Lindgreen, Thomas Ritter and Torsten Ringberg.

Part I: Foundations : getting the basics right. Building small business utopia : how artificial intelligence and big data can increase small business success / Karen G. Mills and Annie V. Dang

GDPR compliant processing of big data in small business / Jan Trzaskowski

Big data and SMEs / Vania Sena and Sena Ozdemir.

Part II. Capabilities : getting digitization right. Value-creation for Industry 4.0 and SMEs' data-driven growth : strategies and resource alignment / Bieke Struyf, Wouter Van Bockhaven and Paul Matthyssens

Analyzing and developing digitization capabilities for data-driven projects in SMEs / Carsten Lund Pedersen and Thomas Ritter

How a glass-processing SME developed its big data competence / Joel Mero, Heikki Karjaluoto and Tanja Tammisalo

Big data in and for small business : data excellence in SMEs through engagement in university partnerships / Shirley Y. Coleman.

Part III. Functions : getting all business areas into big data mode. Capitalizing on human capital analytics in small and medium-sized enterprises / Frederikke Amalie la Cour Nygaard and Dana Minbaeva

How experimental data can optimize e-learning / Camilla Nellemann and Torben Pedersen

How do big data impact business market relationships? / Poul Houman Andersen

Revenue blueprinting : identifying growth potential using customer data and customer insights / Henrik Andersen and Thomas Ritter.

Part IV. Transformations : getting there the right way. Transforming small and medium-sized enterprises (SMEs) to digitally enabled landscapes / Bård Tronvoll, Christian Kowalkowski and David Sörhammar

Facilitating big data transformation in Danish SMEs : insights for managers / Pernille Rydén and Helle Rootzén.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Other Format:

Print version:

ISBN:

1-83910-016-8