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Using the Technology Acceptance Model to Analyze the Likely Impact of Microsoft’s Reporting Services Product

Using the Technology Acceptance Model to Analyze the Likely Impact of Microsoft’s Reporting Services Product

Original Research ArticleNov 12, 2018Vol. 5 No. 1 (2005)

Abstract

The introduction, by Microsoft, of their Reporting Service product is likely to have a major impact on the Business Intelligence industry. By bundling the two technologies with it’s SQL Server product, Microsoft will leverage the large user base of this database management tool to grow market share for its Business Intelligence products. In this study, a modification of the Technology Acceptance Model is used to better understand existing and potential users’ decision on whether or not to adopt Reporting Services product. The idea of ‘critical mass’ is tested and found to be not particularly important to individual adoption choices.

Keywords: Technology Acceptance Model, Microsoft Reporting Services, Business Intelligence, Critical Mass, Social Influence, Technology Adoption

Corresponding author: E-mail: Peter.odonnell@infotech.monash.edu

 

How to Cite

Nantiyakul, R. ., Donnell, P. O. ., & Meredith, R. . (2018). Using the Technology Acceptance Model to Analyze the Likely Impact of Microsoft’s Reporting Services Product. CURRENT APPLIED SCIENCE AND TECHNOLOGY, 86-96.

References

  • Water, R. 2003 Fighting with grants for the business intelligence market. Financial Times, 23.
  • Davis, F.D., Bagozzi, R., & Warshaw, P.R. 1989 User acceptance of computer technology: a comparison of two theoretical models, Management Science, 35(8), 982-1003.
  • Devlin, B.A. & Murphy, P.T. 1988 An architecture for a nosiness and information system IBM Systems Journal 27:1 (January) pp 60-80.
  • Kimball, R. 1996. The Data Warehouse Toolkit, Wiley.
  • Zawada, L.H., & O’Kelly, P. 2003 Tracking the Business Intelligence Market. Windows Server System Magazine.

Author Information

Rattanan Nantiyakul

Decision Support Systems Laboratory, Monash University, Australia

Peter O’ Donnell

Decision Support Systems Laboratory, Monash University, Australia

Rob Meredith

Decision Support Systems Laboratory, Monash University, Australia

About this Article

Journal

Vol. 5 No. 1 (2005)

Type of Manuscript

Original Research Article

Keywords

Technology Acceptance Model, Microsoft Reporting Services, Business Intelligence, Critical Mass, Social Influence, Technology Adoption

Published

12 November 2018