Enterprise resource planning and business intelligence systems for information quality :
[Book]
an empirical analysis in the Italian setting /
Carlo Caserio, Sara Trucco.
Cham, Switzerland :
Springer,
[2018]
1 online resource
Contributions to management science
Intro; Preface; Contents; 1 Introduction; Abstract; 1.1 A Brief Overview of the Book; 1.2 Theoretical Contributions of the Present Work; 1.3 Managerial Implications of the Present Work; 1.4 Structure of the Book; References; 2 Enterprise Resource Planning Systems; Abstract; 2.1 Introduction; 2.2 The Evolution of ERP Systems; 2.3 Information Quality and ERP; 2.3.1 Information Quality; 2.3.2 ERP System for Information Quality; 2.4 Critical Success Factor for ERP Implementation; 2.5 Critical Success Factors for ERP Post-implementation; 2.6 Advantages and Disadvantages of ERPs.
2.6.1 Potential Benefits of ERP Adoption2.6.2 A Framework for Classifying the Benefits of ERP Systems; 2.6.3 Potential Disadvantages of ERP Adoption; 2.7 ERP as a Driver of Alignment Between Management Accounting Information and Financial Accounting Information; 2.8 The Managerial Role of the Chief Information Officer; References; 3 Business Intelligence Systems; Abstract; 3.1 Introduction; 3.2 Business Intelligence and Companies Needs; 3.3 BI for Management Information Systems Needs; 3.3.1 Alignment to Group Logics; 3.3.2 Coordination and Technical-Organizational Integration.
3.3.3 Improvement of Data Management and Decision Support Information3.3.4 Improvement in Communications; 3.4 BI for Strategic Planning Needs; 3.4.1 Monitoring of Environmental Signals; 3.4.2 Planning and Control Requirements; 3.4.3 Innovative BI Tools for the Adaptation to Environmental Conditions; 3.5 BI for Marketing Needs; 3.6 BI for Regulations and Fraud Detection Needs; 3.7 Critical Success Factors of BI Implementation and Adoption; 3.8 BI Maturity Models and Lifecycle; References; 4 ERP and BI as Tools to Improve Information Quality in the Italian Setting: The Research Design; Abstract.
4.1 Introduction4.2 Literature Review Supporting the Research Design; 4.2.1 Literature Review on Information Overload and Information Underload; 4.2.2 Links Between Information Overload/Underload and ERP Systems; 4.2.3 Links Between Features of Information Flow and ERP Systems; 4.2.4 Links Between Information Overload/Underload and Business Intelligence Systems; 4.2.5 Links Between Features of Information Flow and Business Intelligence Systems; 4.2.6 The Combined Use of ERP and Business Intelligence: Information Overload/Underload and Features of Information Flow.
4.2.7 Literature Review on Information Quality4.2.8 Links between Features of Information Flow and Information Quality; 4.3 Sample Selection and Data Collection; 4.4 Variable Measurement; 4.4.1 Research Variable Measurement; 4.4.2 Variable Measurement: Control Variables; 4.5 Factor Analysis; References; 5 ERP and BI as Tools to Improve Information Quality in the Italian Setting: Empirical Analysis; Abstract; 5.1 Introduction; 5.2 Descriptive Statistics and Correlation Analysis; 5.3 Research Models; 5.3.1 T-Test; 5.3.2 Regression Analysis for Research Variables; 5.4 Empirical Results.
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This book analyses the role of Enterprise Resource Planning (ERP) and Business Intelligence (BI) systems in improving information quality through an empirical analysis carried out in Italy. The study begins with a detailed examination of ERP features that highlights the advantages and disadvantages of ERP adoption. Critical success factors for ERP implementation and post-implementation are then discussed, along with the capabilities of ERP in driving the alignment between management accounting and financial accounting information. The study goes on to illustrate the features of BI systems and to summarize companies' needs for BI. Critical success factors for BI implementation are then presented, along with the BI maturity model and lifecycle. The focus of the research entails a detailed empirical analysis in the Italian setting designed to investigate the role played by ERP and BI systems in reducing information overload/underload and improving information quality by influencing the features of information flow. The practical and theoretical implications of the study are discussed and future avenues of research are suggested. This book will be of value for all those who have an interest in the capacities of ERP and BI systems to enhance business information quality.
Springer Nature
com.springer.onix.9783319776798
Enterprise resource planning and business intelligence systems for information quality.