IS/IT Resources and Business Value: Operationalization of an Information Oriented Framework

  • Alexander Borek
  • Markus Helfert
  • Mouzhi Ge
  • Ajith Kumar Parlikad
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 102)

Abstract

Several studies have highlighted the importance of information and information quality in organisations and thus information is regarded as key determinant for the success and organisational performance. In this paper, we review selected contributions and introduce a model that shows how IS/IT resources and capabilities could be interlinked with IS/IT utilization, organizational performance and business value. Complementing other models and frameworks, we explicitly consider information from a management maturity, quality and risk perspective and show how the new framework can be operationalized with existing assessment approaches by using empirical data from four industrial case studies.

Keywords

IS/IT business value IS/IT resources IS/IT impact Information management maturity Information quality Information risk 

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References

  1. 1.
    Eastwood, G.: The Technology Investment and Outsourcing Outlook - Spend forecasts by vertical market. Business Insights Ltd. (2008)Google Scholar
  2. 2.
    Melville, N., Kraemer, K., Gurbaxani, V.: Review: Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 283–322 (2004)Google Scholar
  3. 3.
    Brynjolfsson, E.: The productivity paradox of information technology. Communications of the ACM 36, 77 (1993)CrossRefGoogle Scholar
  4. 4.
    Brynjolfsson, E., Yang, S.: Information Technology and Productivity: A Review of the Literature. Advances in Computers 43, 179–214 (1996)CrossRefGoogle Scholar
  5. 5.
    Brynjolfsson, E., Hitt, L.M., Yang, S.: Intangible assets: Computers and organizational capital. Brookings Papers on Economic Activity, 137–181 (2002)Google Scholar
  6. 6.
    Cooper, B.L., Watson, H.J., Wixom, B.H., Goodhue, D.L.: Data warehousing supports corporate strategy at First American Corporation. Mis Quarterly 24, 547–567 (2000)CrossRefGoogle Scholar
  7. 7.
    Dewan, S., Kraemer, K.L.: Information technology and productivity: evidence from country-level data. Management Science, 548–562 (2000)Google Scholar
  8. 8.
    Redman, T.C.: The impact of poor data quality on the typical enterprise. Communications of the ACM 41, 79–82 (1998)CrossRefGoogle Scholar
  9. 9.
    Slone, J.P.: Information quality strategy: An empirical investigation of the relationship between information quality improvements and organizational outcomes (2006)Google Scholar
  10. 10.
    Nevo, S., Wade, M.R.: The Formation and Value of IT-Enabled Resources: Antecedents and Consequences of Synergistic Relationships. MIS Quarterly 34, 163–183 (2010)Google Scholar
  11. 11.
    Delone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems 19, 9–30 (2003)Google Scholar
  12. 12.
    Irani, Z.: Information systems evaluation: navigating through the problem domain. Information & Management 40, 11–24 (2002)CrossRefGoogle Scholar
  13. 13.
    DeLone, W.H., McLean, E.R.: Information systems success: the quest for the dependent variable. Information Systems Research 3, 60–95 (1992)CrossRefGoogle Scholar
  14. 14.
    Eaton, J., Smithers, J., Curran, S.: This is IT: A Manager’s Guide to Information Technology. Philip Allan (1988)Google Scholar
  15. 15.
    Wang, R.Y., Strong, D.M.: Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems 12, 33 (1996)Google Scholar
  16. 16.
    Ge, M., Helfert, M.: Effects of information quality on inventory management. International Journal of Information Quality 2, 177–191 (2008)CrossRefGoogle Scholar
  17. 17.
    English, L.P.: Improving data warehouse and business information quality: methods for reducing costs and increasing profits. John Wiley & Sons (1999)Google Scholar
  18. 18.
    Gustafsson, P., Franke, U., Höök, D., Johnson, P.: Quantifying IT impacts on organizational structure and business value with Extended Influence Diagrams. The Practice of Enterprise Modeling, 138–152 (2009)Google Scholar
  19. 19.
    Ravichandran, T., Lertwongsatien, C.: Effect of information systems resources and capabilities on firm performance: A resource-based perspective. Journal of Management Information Systems 21, 237–276 (2005)Google Scholar
  20. 20.
    Bharadwaj, A.S.: A resource-based perspective on information technology capability and firm performance: an empirical investigation. Mis Quarterly 24, 169–196 (2000)CrossRefGoogle Scholar
  21. 21.
    Goodhue, D.L., Thompson, R.L.: Task-technology fit and individual performance. Mis Quarterly 19, 213–236 (1995)CrossRefGoogle Scholar
  22. 22.
    Goodhue, D.L.: Understanding user evaluations of information systems. Management Science, 1827–1844 (1995)Google Scholar
  23. 23.
    Davenport, T.H.: Process innovation: reengineering work through information technology. Harvard Business Press (1993)Google Scholar
  24. 24.
    Porter, M.E., Millar, V.: How information gives you competitive advantage. Harvard Business Review 63, 149–160 (1985)Google Scholar
  25. 25.
    Mooney, J.G., Gurbaxani, V., Kraemer, K.L.: A process oriented framework for assessing the business value of information technology. ACM SIGMIS Database 27, 68–81 (1996)CrossRefGoogle Scholar
  26. 26.
    Keller, K.L., Staelin, R.: Effects of Quality and Quantity of Information on Decision Effectiveness. The Journal of Consumer Research 14, 200–213 (1987)CrossRefGoogle Scholar
  27. 27.
    Jung, W., Olfman, L., Ryan, T., Park, Y.T.: An Experimental Study of the Effects of Representational Data Quality on Decision Performance. In: AMCIS 2005 Proceedings, p. 298 (2005)Google Scholar
  28. 28.
    Van Wegen, B., De Hoog, R.: Measuring the economic value of information systems. Journal of Information Technology 11, 247–260 (1996)CrossRefGoogle Scholar
  29. 29.
    Folan, P., Browne, J.: A review of performance measurement: Towards performance management. Computers in Industry 56, 663–680 (2005)CrossRefGoogle Scholar
  30. 30.
    Fitzgerald, L., Johnston, R., Brignall, S.: Performance measurement in service businesses (1991)Google Scholar
  31. 31.
    Angel, L.C., Chandra, M.J.: Performance implications of investments in continuous quality improvement. International Journal of Operations & Production Management 21, 108–125 (2001)CrossRefGoogle Scholar
  32. 32.
    Kaplan, R.S., Norton, D.P.: The balanced scorecard–measures that drive performance. Harvard Business Review 70, 71–79 (1992)Google Scholar
  33. 33.
    Neely, A., Mills, J., Platts, K., Richards, H., Gregory, M., Bourne, M., Kennerley, M.: Performance measurement system design: developing and testing a process-based approach. International Journal of Operations and Production Management 20, 1119–1145 (2000)CrossRefGoogle Scholar
  34. 34.
    Medori, D., Steeple, D.: A framework for auditing and enhancing performance measurement systems. International Journal of Operations & Production Management 20, 520–533 (2000)CrossRefGoogle Scholar
  35. 35.
    Huan, S.H., Sheoran, S.K., Wang, G.: A review and analysis of supply chain operations reference (SCOR) model. Supply Chain Management: An International Journal 9, 23–29 (2004)CrossRefGoogle Scholar
  36. 36.
    Fattahi, R., Afshar, E.: Added value of information and information systems: a conceptual approach. Library Review 55, 132–147 (2006)CrossRefGoogle Scholar
  37. 37.
    Ballou, D., Wang, R., Pazer, H., Kumar, G.: Modeling information manufacturing systems to determine information product quality. Management Science 44, 462–484 (1998)CrossRefGoogle Scholar
  38. 38.
    Wemerfelt, B.: A resource-based view of the firm. Strategic Management Journal 5, 171–180 (1984)CrossRefGoogle Scholar
  39. 39.
    Stalk, G., Evans, P., Shulman, L.E.: Competing on capabilities: The new rules of corporate strategy. Harvard Business Review, 57–69 (1992)Google Scholar
  40. 40.
    Mills, J., Platts, K., Bourne, M.: Competence and resource architectures. International Journal of Operations & Production Management 23, 977–994 (2003)CrossRefGoogle Scholar
  41. 41.
    Baskarada, S.: IQM-CMM: Information Quality Management Capability Maturity Model (2008)Google Scholar
  42. 42.
    Humphrey, W.S.: Characterizing the software process: a maturity framework. IEEE Software 5, 73–79 (1988)CrossRefGoogle Scholar
  43. 43.
    Crosby, P.B.: Quality is free. McGraw-Hill (1979)Google Scholar
  44. 44.
    Curley, M.: Introducing an IT Capability Maturity Framework. Enterprise Information Systems, 63–78 (2008)Google Scholar
  45. 45.
    Ryu, K.S., Park, J.S., Park, J.H.: A data quality management maturity model. ETRI Journal 28, 191–204 (2006)CrossRefGoogle Scholar
  46. 46.
    Pipino, L.L., Lee, Y.W., Wang, R.Y.: Data quality assessment. Communications of the ACM 45, 211–218 (2002)CrossRefGoogle Scholar
  47. 47.
    Savchenko, S.: Automating objective data quality assessment. In: Eppler, M., Helfert, M., Pipino, L., Segev, A. (eds.) Proceedings of the 8th International Conference on Information Quality. MIT, Cambridge (2003)Google Scholar
  48. 48.
    Wand, Y., Wang, R.Y.: Anchoring data quality dimensions in ontological foundations. Communications of the ACM 39, 95 (1996)CrossRefGoogle Scholar
  49. 49.
    Woodall, P., Parlikad, A.K.N.: A hybrid approach to assessing data quality. In: Proceedings of the 15th International Conference on Information Quality (ICIQ 2010), Little Rock, AR, USA (2010)Google Scholar
  50. 50.
    Loshin, D.: Enterprise knowledge management: The data quality approach. Morgan Kaufmann (2001)Google Scholar
  51. 51.
    McGilvray, D.: Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information. Morgan Kaufmann (2008)Google Scholar
  52. 52.
    Borek, A., Woodall, P., Parlikad, A.K.: A Risk Management Approach to Improving Information Quality for Operational and Strategic Management. In: Proceedings of the 18th EUROMA Conference: Exploring Interfaces, Cambridge, UK (2011)Google Scholar
  53. 53.
    Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Quarterly 28, 75–105 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Alexander Borek
    • 1
  • Markus Helfert
    • 2
  • Mouzhi Ge
    • 3
  • Ajith Kumar Parlikad
    • 1
  1. 1.Institute for Manufacturing, Department of EngineeringUniversity of CambridgeCambridgeU.K.
  2. 2.School of ComputingDublin City UniversityDublinIreland
  3. 3.Fakultät für InformatikTechnische Universität DortmundDortmundGermany

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