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Information quality and banking success: a theoretical model with empirical validation

Published Online:pp 251-272https://doi.org/10.1504/IJIQ.2014.064061

Technology plays a key role in today’s business environment and is becoming increasingly necessary for all businesses to incorporate information technology solutions to operate successfully. The importance of information quality in the present business scenario has been drawing the attention of practitioners and academicians. This paper aims at broadening the understanding about information quality as a critical factor by which information technology spread its influences on banking success. In the context of Indian banking, this study examines how banking technology has benefited through information quality. A research framework and associated hypotheses are proposed based on process-based IS success model and instruments are developed to measure and validate information quality and banking success in IT investments. An empirical survey was conducted, and questionnaires were distributed to 600 bankers. A total of 499 valid observations was collected and analysed using structural equation modelling (SEM). The results suggest that information quality has a positive and significant effect on banking success from an internal user perspective.

Keywords

IS success, information quality, user satisfaction, net benefits, structural equation modelling, SEM, banking

References

  • 1. D.L. Amoroso, P.H. Cheney, '‘Testing a causal model of end-user application effectiveness’' Journal of Management (1991) Google Scholar
  • 2. J.E. Bailey, S.W. Pearson, '‘Development of a tool for measuring and analyzing computer user satisfaction’' Management Science (1983) Google Scholar
  • 3. D.P. Ballou, S. Belardo, B. Klein, '‘Implication of data quality for spreadsheet analysis’' DataBase (1987) Google Scholar
  • 4. R.D. Banker, R.J. Kauffman, R.C. Morey, '‘Measuring gains in operational efficiency from information technology: a study of position deployment in Hardee’s Inc.’' Journal of Management Information Systems (1990) Google Scholar
  • 5. D. Barone, F. Stella, C. Batini, '‘Dependency discovery in data quality’' in Advanced Information Systems Engineering (2010) Google Scholar
  • 6. S. Baskarada, Information Quality Management Capability Maturity Model (2010) Google Scholar
  • 7. C. Batini, C. Cappiello, C. Francalanci, A. Maurino, '‘Methodologies for data quality assessment and improvement’' ACM Computing Surveys (2009) Google Scholar
  • 8. K.A. Bollen, Structural Equations with Latent Variables (1989) Google Scholar
  • 9. A. Borek, P. Woodall, A.K. Parlikad, '‘A risk management approach to improving information quality for operational and strategic management’' (2011) Google Scholar
  • 10. R.V. Bradley, J.L. Pridmore, T.A. Byrd, '‘Information systems success in the context of different corporate cultural types: an empirical investigation’' Journal of Management Information Systems (2006) Google Scholar
  • 11. B.M. Byrne, Structural Equation Modeling with LISREL, PRELIS and SIMPLIS: Basic Concepts. Applications and Programming (1998) Google Scholar
  • 12. R.J. Caballero, A. Krishnamurthy, '‘Collective risk management in a flight to quality episode’' Journal of Finance (2008) Google Scholar
  • 13. D.N. Chin, M.E. Crosby, '‘Introduction to the special issue on empirical evaluation of user models and user modeling systems’' User Modeling and User Adapted Interaction (2002) Google Scholar
  • 14. T.H. Davenport, J. Linder, '‘Information management infrastructure: the new competitive weapon’' in Proceedings of the Twenty-seventh Hawaii International Conference on System Sciences (1994) Google Scholar
  • 15. F.D. Davis, '‘Perceived usefulness, perceived ease of use and user acceptance of information technology’' Management Information Systems (1989) Google Scholar
  • 16. W.H. DeLone, E.R. McLean, '‘Information systems success: the quest for the dependent variable’' Information Systems Research (1992) Google Scholar
  • 17. W.H. DeLone, E.R. McLean, '‘The DeLone and McLean model of information systems success: a ten-year update’' Journal of Management Information Systems (2003) Google Scholar
  • 18. M. Ge, Information Quality Assessment and Effects in Inventory Decision-making (2009) Google Scholar
  • 19. J.F. Hair, R.E. erson, R.L. Tatham, W. Black, Multivariate Data Analysis with Readings (1998) Google Scholar
  • 20. L. Harold, M. Thenmozhi, S. Reddy Ed., V.N. Posa Ed., '‘Evaluation of banking technology effectiveness using banking technology balanced scorecard model’' Balanced Scorecard: Multi Sector Perspectives (2007) Google Scholar
  • 21. P. Herbig, A. Genestre, '‘An examination of the cross-cultural differences in service quality: the example of Mexico and the USA’' Journal of Consumer Marketing (1996) Google Scholar
  • 22. M.I. Hwang, J.C. Windsor, A. Pryor, '‘Building a knowledge base for MIS research: a meta-analysis of a systems success model’' Information Resources Management Journal (2000) Google Scholar
  • 23. Software Engineering – Software product Quality Requirements and valuation (SQuaRE) – Data Quality Model (2008) Google Scholar
  • 24. K. Jöreskog, D. Sörbom, LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language (1993) Google Scholar
  • 25. J.M. Juran, J.M. Juran Ed., A.B. Godfrey Ed., '‘How to think about quality’' Juran’s Quality Handbook (1998) Google Scholar
  • 26. Y.W. Lee, D.M. Strong, '‘Knowing-why about data processes and data quality’' Journal of Management Information Systems (2003) Google Scholar
  • 27. S. Lin, J. Gao, A. Koronios, V. Chanana, '‘Developing a data quality framework for asset management in engineering organizations’' International Journal of Information Quality (2007) Google Scholar
  • 28. M.A. Mahmood, J.N. Medewitz, '‘Impact of design methods on decision support systems success: an empirical assessment’' Information & Management (1985) Google Scholar
  • 29. M.A. Mahmood, J.M. Burn, L.A. Gemoets, C. Jacquez, '‘Variables affecting information technology end-user satisfaction: a meta-analysis of the empirical literature’' International Journal of Human-Computer Studies (2000) Google Scholar
  • 30. R.O. Mason, '‘Measuring information output: a communication systems approach’' Information & Management (1978) Google Scholar
  • 31. J.V. McGee, L. Prusak, Managing Information Strategically (1993) Google Scholar
  • 32. T. McGill, V. Hobbs, J. Klobas, '‘User developed applications and information systems success: a test of De Lone and McLean’s model’' Information Resources Management Journal (2003) Google Scholar
  • 33. J. Mingers, Realising Systems Thinking: Knowledge and Action in Management Science (2006) Google Scholar
  • 34. S. Petter, W. DeLone, E. McLean, '‘Measuring information systems success models, dimensions, measures and interrelationships’' European Journal of Information Systems (2008) Google Scholar
  • 35. L.L. Pipino, Y.W. Lee, R.Y. Wang, '‘Data quality assessment’' Communications of the ACM (2002) Google Scholar
  • 36. A. Rai, S.S. Lang, R.B. Welker, '‘Assessing the validity of IS success model: an empirical test and theoretical analysis’' Information systems research (2002) Google Scholar
  • 37. R.K. Rainer, H.J. Watson, '‘The keys to executive information system success’' Journal of Management Information Systems (1995) Google Scholar
  • 38. T.C. Redman, '‘The impact of poor data quality on the typical enterprise’' Communications of the ACM (1998) Google Scholar
  • 39. Reserve Bank of India (RBI), '‘Report on the trend and progress of banking in India’' (2009) Google Scholar
  • 40. P. Seddon, M.Y. Kiew, J.I. DeGross Ed., S.L. Huff Ed., M.C. Munro Ed., '‘A partial test and development of the De Lone and McLean model of IS success’' Proceedings of the International Conference on Information Systems, Association for Information Systems (1994) Google Scholar
  • 41. D. Sedera, G. Gable, L. Appelgate Ed., R. Galliers Ed., J.I. Degross Ed., '‘A factor and structural equation analysis of the enterprise systems success measurement model’' Information Systems Journal, Association for Information Systems (2004) Google Scholar
  • 42. C.E. Shannon Ed., W. Weaver Ed., The Mathematical Theory of Communication (1949) Google Scholar
  • 43. F. Sidi, P.H. Shariat Panahy, L.S. Affendey, M.A. Jabar, H. Ibrahim, A. Mustapha, '‘Data quality: a survey of data quality dimensions’' in Proceedings of the IEEE International Conference of Information Retrieval & Knowledge Management (CAMP) (2012) Google Scholar
  • 44. A. Srinivasan, '‘Alternative measures of system effectiveness: associations and implications’' MIS Quarterly (1985) Google Scholar
  • 45. B. Swanson, '‘Maintaining IS quality’' Information and Software Technology (1997) Google Scholar
  • 46. R.L. Thompson, C.A. Higgins, J.M. Howell, '‘Towards a conceptual model of utilization’' MIS Quarterly (1991) Google Scholar
  • 47. T.S. Teo, V.K. Lim, '‘The effects of perceived justice on satisfaction and behavioral intentions: the case of computer purchase’' International Journal of Retail & Distribution Management (2001) Google Scholar
  • 48. R.Y. Wang, '‘A product perspective on total data quality management’' Communication of ACM (1998) Google Scholar
  • 49. R.Y. Wang, D.M. Strong, '‘Beyond accuracy: what data quality means to data consumers’' Journal of Management of Information Systems (1996) Google Scholar
  • 50. Y. Wang, Y. Liao, '‘Assessing e-government systems success: a validation of the De Lone and McLean model of information systems success’' Government Information Quarterly (2008) Google Scholar
  • 51. P. Weill, M.H. Olson, '‘An assessment of the contingency theory of management information systems’' Journal of Management Information Systems (1989) Google Scholar
  • 52. C. Wilkin, B. Hewitt, M. Khozrowpour Ed., '‘Quality in a respecification of DeLone and McLean’s IS success model’' Proceedings of IRMA International Conference (1999) Google Scholar