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Big Data and Analytics : Strategic and Organizational Impacts

By: Morabito, Vincenzo.
Material type: TextTextSeries: eBooks on Demand.Publisher: Cham : Springer International Publishing, 2015Description: 1 online resource (202 p.).ISBN: 9783319106656.Subject(s): Big data | Business intelligence | Data mining | Database management | Decision making -- Data processing | Management -- Data processing | Management -- Statistical methodsGenre/Form: Electronic books.Additional physical formats: Print version:: Big Data and Analytics : Strategic and Organizational ImpactsDDC classification: 650 LOC classification: HD30.215 -- .M67 2015ebOnline resources: Click here to view this ebook.
Contents:
Foreword; Preface; Acknowledgments; Contents; Acronyms; Part IStrategy; 1 Big Data and Analytics for Competitive Advantage; Abstract; 1.1 Introduction; 1.2 Competitive Advantage Definition: Old and New Notions; 1.2.1 From Sustainable to Dynamic; 1.2.2 From Company Effects to Network Success; 1.3 The Role of Big Data on Gaining Dynamic Competitive Advantage; 1.3.1 Big Data Driven Target Marketing; 1.3.2 Design-Driven Innovation; 1.3.3 Crowd Innovation; 1.4 Big Data Driven Business Models; 1.5 Organizational Challenges; 1.5.1 Skill Set Shortages; 1.5.2 Cultural Barriers
1.5.3 Processes and Structures1.5.4 Technology Maturity Levels; 1.5.5 Organizational Advantages and Opportunities; 1.6 Case Studies; 1.7 Recommendations for Organizations; 1.7.1 Ask the Right Questions; 1.7.2 Look Out for Complementary Game Changing Innovations; 1.7.3 Develop Sound Scenarios; 1.7.4 Prepare Your Culture; 1.7.5 Prepare to Change Processes and Structure; 1.8 Summary; References; 2 Big Data and Analytics for Government Innovation; Abstract; 2.1 Introduction; 2.1.1 New Notions of Public Service: Towards a Prosumer Era?; 2.1.2 Online Direct Democracy
2.1.3 Megacities' Global Competition2.2 Public Service Advantages and Opportunities; 2.2.1 New Sources of Information: Crowdsourcing; 2.2.2 New Sources of Information: Internet of Things (IoTs); 2.2.3 Public Talent in Use; 2.2.4 Private--Public Partnerships; 2.2.5 Government Cloud Data; 2.2.6 Value for Money in Public Service Delivery; 2.3 Governmental Challenges; 2.3.1 Data Ownership; 2.3.2 Data Quality; 2.3.3 Privacy, Civil Liberties and Equality; 2.3.4 Talent Recruitment Issues; 2.4 Case Studies; 2.5 Recommendations for Organizations; 2.5.1 Smart City Readiness; 2.5.2 Learn to Collaborate
2.5.3 Civic Education and Online Democracy2.5.4 Legal Framework Development; 2.6 Summary; References; 3 Big Data and Education: Massive Digital Education Systems; Abstract; 3.1 Introduction; 3.1.1 From Institutionalized Education to MOOCs; 3.2 MOOC Educational Model Clusters; 3.2.1 University-Led MOOCs; 3.2.2 Peer-to-Peer MOOCs; 3.3 The Role of Big Data and Analytics; 3.4 Institutional Advantages and Opportunities from MOOCs; 3.5 Institutional Challenges from MOOCs; 3.6 Case Studies; 3.7 Recommendations for Institutions; 3.8 Summary; References; 4 Big Data Driven Business Models; Abstract
4.1 Introduction4.2 Implications of Big Data for Customer Segmentation; 4.3 Implications of Big Data as a Value Proposition; 4.4 Implications of Big Data for Channels; 4.5 The Impact of Big Data on Customer Relationships; 4.6 The Impact of Big Data on Revenue Stream; 4.7 The Impact of Big Data on Key Resources and Key Activities; 4.8 The Impact of Big Data on Key Partnerships; 4.9 The Impact of Big Data on Cost Structures; 4.10 Organizational Advantages and Opportunities; 4.11 Organizational Challenges and Threats; 4.11.1 Creativity and Innovation Capability Deficit
4.11.2 Interrogating Big Data
Summary: This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and educ
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
HD30.215 -- .M67 2015eb (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=1969300 Available EBL1969300

Foreword; Preface; Acknowledgments; Contents; Acronyms; Part IStrategy; 1 Big Data and Analytics for Competitive Advantage; Abstract; 1.1 Introduction; 1.2 Competitive Advantage Definition: Old and New Notions; 1.2.1 From Sustainable to Dynamic; 1.2.2 From Company Effects to Network Success; 1.3 The Role of Big Data on Gaining Dynamic Competitive Advantage; 1.3.1 Big Data Driven Target Marketing; 1.3.2 Design-Driven Innovation; 1.3.3 Crowd Innovation; 1.4 Big Data Driven Business Models; 1.5 Organizational Challenges; 1.5.1 Skill Set Shortages; 1.5.2 Cultural Barriers

1.5.3 Processes and Structures1.5.4 Technology Maturity Levels; 1.5.5 Organizational Advantages and Opportunities; 1.6 Case Studies; 1.7 Recommendations for Organizations; 1.7.1 Ask the Right Questions; 1.7.2 Look Out for Complementary Game Changing Innovations; 1.7.3 Develop Sound Scenarios; 1.7.4 Prepare Your Culture; 1.7.5 Prepare to Change Processes and Structure; 1.8 Summary; References; 2 Big Data and Analytics for Government Innovation; Abstract; 2.1 Introduction; 2.1.1 New Notions of Public Service: Towards a Prosumer Era?; 2.1.2 Online Direct Democracy

2.1.3 Megacities' Global Competition2.2 Public Service Advantages and Opportunities; 2.2.1 New Sources of Information: Crowdsourcing; 2.2.2 New Sources of Information: Internet of Things (IoTs); 2.2.3 Public Talent in Use; 2.2.4 Private--Public Partnerships; 2.2.5 Government Cloud Data; 2.2.6 Value for Money in Public Service Delivery; 2.3 Governmental Challenges; 2.3.1 Data Ownership; 2.3.2 Data Quality; 2.3.3 Privacy, Civil Liberties and Equality; 2.3.4 Talent Recruitment Issues; 2.4 Case Studies; 2.5 Recommendations for Organizations; 2.5.1 Smart City Readiness; 2.5.2 Learn to Collaborate

2.5.3 Civic Education and Online Democracy2.5.4 Legal Framework Development; 2.6 Summary; References; 3 Big Data and Education: Massive Digital Education Systems; Abstract; 3.1 Introduction; 3.1.1 From Institutionalized Education to MOOCs; 3.2 MOOC Educational Model Clusters; 3.2.1 University-Led MOOCs; 3.2.2 Peer-to-Peer MOOCs; 3.3 The Role of Big Data and Analytics; 3.4 Institutional Advantages and Opportunities from MOOCs; 3.5 Institutional Challenges from MOOCs; 3.6 Case Studies; 3.7 Recommendations for Institutions; 3.8 Summary; References; 4 Big Data Driven Business Models; Abstract

4.1 Introduction4.2 Implications of Big Data for Customer Segmentation; 4.3 Implications of Big Data as a Value Proposition; 4.4 Implications of Big Data for Channels; 4.5 The Impact of Big Data on Customer Relationships; 4.6 The Impact of Big Data on Revenue Stream; 4.7 The Impact of Big Data on Key Resources and Key Activities; 4.8 The Impact of Big Data on Key Partnerships; 4.9 The Impact of Big Data on Cost Structures; 4.10 Organizational Advantages and Opportunities; 4.11 Organizational Challenges and Threats; 4.11.1 Creativity and Innovation Capability Deficit

4.11.2 Interrogating Big Data

This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and educ

Description based upon print version of record.

Author notes provided by Syndetics

Vincenzo Morabito, PhD, is Associate Professor at the Management & Technology Department, Università Commerciale Luigi Bocconi (Bocconi University), Milan, Italy. He gained his doctorate from the Università Commerciale Luigi Bocconi and was a Research Scholar at both the Center for Information System Research, MIT Sloan School of Management (2006) and the Decision and Information Science Department, University of Florida (2005/2006). Vincenzo Morabito is in charge of the course on Business Organization, Management of Information Systems, and Information Management for the various degree programs of Bocconi University. He has participated in a variety of research projects, many financed by the Italian Ministry of University and Scientific Research (Ministero dell'Università e della Ricerca Scientifica e Tecnologica).

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