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Concluding Remarks

  • Carlo Caserio
  • Sara Trucco
Chapter
Part of the Contributions to Management Science book series (MANAGEMENT SC.)

Abstract

This chapter discusses the results of the theoretical and empirical analysis presented in the previous chapters of the manuscript. The limitations and further developments of the research were also presented. In general, our results show that information overload is less perceived than information underload in all the comparisons performed in the research. The empirical results of our research concerning the relationship between ERP systems and information overload/underload show that ERP systems do not affect the perception of information overload/underload. However, the empirical results show that respondents who adopt ERP perceive higher data accuracy, system reliability and, in general, a higher information processing capacity than do respondents who do not adopt an ERP. Furthermore, our results show that respondents who adopt BI systems do not perceive a different level of information overload/underload compared with respondents who do not adopt. However, a more detailed analysis shows that managers of companies adopting BI systems perceive a higher data accuracy, a higher level of information processing capacity, and a more regular reporting system, based on more systematic frequency. Empirical evidence on the effects of the simultaneous adoption of ERP and BI on information overload/underload and on the features of information flow show that respondents adopting both an ERP and a BI system do not perceive higher or lower information overload or information underload than do the other respondents. Finally, our results confirm prior studies on information processing capacity and information quality and suggest that reporting is one of the drivers of information quality.

Notes

Acknowledgements

The authors gratefully acknowledge the anonymous reviewers for the insightful suggestions provided to enhance the quality of this manuscript.

The authors also acknowledge the assistant editor of this book series, Maria Cristina Acocella, along with the editorial staff of Springer for their professional and proficient involvement in the production of this book.

The authors also gratefully acknowledge the Università degli Studi Internazionali di Roma (UNINT), which has made this study possible by providing financial support.

This study is part of a larger project on accounting information systems.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Faculty of EconomicsUniversità degli Studi eCampusNovedrate (CO)Italy
  2. 2.Faculty of EconomicsUniversità degli Studi Internazionali di RomaRomeItaly

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