Enterprise resource planning and business intelligence systems for information quality : an empirical analysis in the Italian setting / Carlo Caserio, Sara Trucco.
2018
HD38.7 .C37 2018
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Details
Title
Enterprise resource planning and business intelligence systems for information quality : an empirical analysis in the Italian setting / Carlo Caserio, Sara Trucco.
Author
Caserio, Carlo, author.
ISBN
9783319776798 (electronic book)
3319776797 (electronic book)
9783319776804
3319776800
9783030085117
3030085112
9783319776781
3319776789
3319776797 (electronic book)
9783319776804
3319776800
9783030085117
3030085112
9783319776781
3319776789
Published
Cham, Switzerland : Springer, [2018]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-319-77679-8 doi
Call Number
HD38.7 .C37 2018
Dewey Decimal Classification
658.4/72
Summary
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.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from digital title page (viewed on June 13, 2018).
Added Author
Trucco, Sara, author.
Series
Contributions to management science.
Available in Other Form
Enterprise resource planning and business intelligence systems for information quality.
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