Drivers and barriers to business intelligence adoption: a case of Pakistan

This research project deals with the Drivers and Barriers to Business Intelligence Adoption. The Drivers and Barrier Methodology (DBM) is a useful tool for measuring how a particular technology such as Business Intelligence (BI) brings tangible benefits to a business enterprise such as a Consumer Bank or Telecommunications Company. This research helps us determine the key factors which force a company to adopt a certain technology and at the same time points out likely impediments and road blocks on the path to successful project completion. A previous body of work both on DBM and on the vast amount of research done in the domain of Business Intelligence and Data warehousing is used as foundation for this research project. A case of Pakistan is used apply the aforementioned methodolgy. The research concludes that depending on a secific user type such as a Power user, IT User or Business user a ’peculiar preference’ in drivers and unique aversion to barriers exist. The challenges and problems faced at each step of the adoption cycle are also highlighted.The findings provide valuable recommendations to application designers, IT Vendors, business analysts, marketers and solution providers.

[1]  Graham Pervan,et al.  Eight key issues for the decision support systems discipline , 2008, Decis. Support Syst..

[2]  Mun Y. Yi,et al.  Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model , 2003, Int. J. Hum. Comput. Stud..

[3]  M. Kuhn,et al.  An empirical investigation of self-attitudes. , 1954 .

[4]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[5]  I. M. Crawford.  Marketing Research and Information Systems , 1997 .

[6]  Naresh K. Malhotra,et al.  Marketing Research: An Applied Orientation , 1993 .

[7]  A. F. Salam,et al.  An extension of the technology acceptance model in an ERP implementation environment , 2004, Inf. Manag..

[8]  Dave Chaffey,et al.  E-Business and E-Commerce Management (3rd Edition) , 2007 .

[9]  Donald R. Cooper,et al.  Business Research Methods , 1980 .

[10]  Cindi Howson,et al.  Successful Business Intelligence: Secrets to Making BI a Killer App , 2007 .

[11]  Yujong Hwang,et al.  Investigating enterprise systems adoption: uncertainty avoidance, intrinsic motivation, and the technology acceptance model , 2005, Eur. J. Inf. Syst..

[12]  Des Gordon.  Message from the CEO , 2005 .

[13]  Robert G. Fichman,et al.  International Conference on Information Systems ( ICIS ) 1992 INFORMATION TECHNOLOGY DIFFUSION : A REVIEW OF EMPIRICAL RESEARCH , 2017 .

[14]  J. D. Eveland,et al.  Issues in using the concept of “adoption of innovations” , 1979 .

[15]  David Gefen,et al.  What Makes an ERP Implementation Relationship Worthwhile: Linking Trust Mechanisms and ERP Usefulness , 2004, J. Manag. Inf. Syst..