Skip to main content

ERP and BI as Tools to Improve Information Quality in the Italian Setting: Empirical Analysis

  • Chapter
  • First Online:
Enterprise Resource Planning and Business Intelligence Systems for Information Quality

Part of the book series: Contributions to Management Science ((MANAGEMENT SC.))

Abstract

This chapter presents the results of our survey. Empirical results from the entire datasets of respondents demonstrated that respondents adopting an ERP or a BI system—or both an ERP and a BI system—do not perceive higher or lower information overload or information underload. Furthermore, respondents who have implemented an ERP perceive a higher level of information processing capacity, a higher level of communication and reporting, and a higher level of frequency of meeting than do respondents who have not implemented an ERP. Respondents who have implemented a BI perceive a higher level of information processing capacity compared to respondents who have not implemented a BI. Respondents who have implemented both an ERP and a BI system perceive a higher level of information processing capacity than do respondents who have not implemented an ERP or a BI. Results from the regression analysis show that information processing capacity has a positive effect on the information quality perceived by managers; therefore, if the information processing capacity increases, the information quality perceived by respondents increases as well. Furthermore, results show that communication and reporting has a negative effect on the information quality perceived by respondents, so that if communication and reporting increases, the information quality decreases.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Beattie V, Pratt K (2003) Issues concerning web-based business reporting: an analysis of the views of interested parties. The British Accounting Review 35.2: 155–187

    Google Scholar 

  • Beattie V, Smith SJ (2012) Evaluating disclosure theory using the views of UK finance directors in the intellectual capital context. Accounting and Business Research 42.5: 471–494

    Google Scholar 

  • Bharadwaj AS (2000) A resource-based perspective on information technology capability and firm performance: an empirical investigation. MIS Q 169–196

    Article  Google Scholar 

  • Cohen J, Cohen P, West SG, Aiken LS (2013) Applied multiple regression/correlation analysis for the behavioral sciences. Routledge

    Google Scholar 

  • Corsi K, Trucco S (2016) The Role of the CIOs on the IT management and firms’ performance: evidence in the Italian context, in: strengthening information and control systems. Springer, pp 217–236

    Google Scholar 

  • Gottschalk P (1999) Strategic management of IS/IT functions: the role of the CIO in Norwegian organisations. Int J Inf Manag 19:389–399

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carlo Caserio .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Caserio, C., Trucco, S. (2018). ERP and BI as Tools to Improve Information Quality in the Italian Setting: Empirical Analysis. In: Enterprise Resource Planning and Business Intelligence Systems for Information Quality. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-319-77679-8_5

Download citation

Publish with us

Policies and ethics