An Information Oriented Framework for Relating IS/IT Resources and Business Value

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. At the same time, there are numerous studies, frameworks and case studies examining the impact of information technology and systems to business value. Recently, several studies have proposed maturity models for information management capabilities in the literature, which claim that a higher maturity results in a higher organizational performance. Although these studies provide valuable information about the underlying relations, most are limited in specifying the relationship in more detail. Furthermore, most prominent approaches do not or at least not explicitly consider information as important influencing factor for organisational performance. In this paper, we aim to review selected contributions and introduce a model that shows how IS/IT resources and capabilties 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. Moreover, the paper discusses how each part of the model can be assessed in order to validate the model in future studies.

[1]  Erik Brynjolfsson,et al.  Intangible Assets: Computers and Organizational Capital , 2002 .

[2]  Jae Hong Park,et al.  A Data Quality Management Maturity Model , 2006 .

[3]  Linda C. Angell,et al.  Performance implications of investments in continuous quality improvement , 2001 .

[4]  K. Kraemer,et al.  : Evidence from , 2022 .

[5]  G. Stalk,et al.  Competing on capabilities: the new rules of corporate strategy. , 1992, Harvard business review.

[6]  J. Eaton,et al.  This Is It: A Manager's Guide to Information Technology , 1982 .

[7]  Erik Brynjolfsson,et al.  Information Technology and Productivity: A Review of the Literature , 1996, Adv. Comput..

[8]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[9]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[10]  Kevin Lane Keller,et al.  Effects of Quality and Quantity of Information on Decision Effectiveness , 1987 .

[11]  Dale Goodhue,et al.  Understanding user evaluations of information systems , 1995 .

[12]  Saggi Nevo,et al.  The Formation and Value of IT-Enabled Resources: Antecedents and Consequences of Synergistic Relationships , 2010, MIS Q..

[13]  Kenneth L. Kraemer,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..

[14]  Robert W. Blanning,et al.  Synthesis and Decomposition of Processes in Organizations , 2003, Inf. Syst. Res..

[15]  Andy Koronios,et al.  IQM-CMM: A Framework For Assessing Organizational Information Quality Management Capability Maturity , 2007, ICIQ.

[16]  R. Kaplan,et al.  The balanced scorecard--measures that drive performance. , 2015, Harvard business review.

[17]  Jim Browne,et al.  A review of performance measurement: Towards performance management , 2005, Comput. Ind..

[18]  Vijay Gurbaxani,et al.  A process oriented framework for assessing the business value of information technology , 1995, DATB.

[19]  Lorne Olfman,et al.  An Experimental Study of the Effects of Representational Data Quality on Decision Performance , 2005, AMCIS.

[20]  Ebrahim Afshar,et al.  Added value of information and information systems: a conceptual approach , 2006 .

[21]  M. Porter,et al.  How Information Gives You Competitive Advantage , 1985 .

[22]  T. Bresnahan.  Measuring the Spillovers from Technical Advance: Mainframe Computers inFinancial Services , 1986 .

[23]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[24]  Watts S. Humphrey,et al.  Characterizing the software process: a maturity framework , 1988, IEEE Software.

[25]  Danette McGilvray,et al.  Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information TM , 2008 .

[26]  Erik Brynjolfsson,et al.  The productivity paradox of information technology , 1993, CACM.

[27]  Martin Bichler,et al.  Design science in information systems research , 2006, Wirtschaftsinf..

[28]  Thomas H. Davenport,et al.  Process Innovation: Reengineering Work Through Information Technology , 1992 .

[29]  Lorin M. Hitt,et al.  Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value , 1996, MIS Q..

[30]  Carlo Batini,et al.  Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications) , 2006 .

[31]  Robert J. Kauffman,et al.  50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science , 2004, Manag. Sci..

[32]  Thomas Redman,et al.  The impact of poor data quality on the typical enterprise , 1998, CACM.

[33]  Richard Y. Wang,et al.  Modeling Information Manufacturing Systems to Determine Information Product Quality Management Scien , 1998 .

[34]  David Loshin.  Enterprise knowledge management: the data quality approach , 2000 .

[35]  R. Johnston,et al.  Performance Measurement in Service Businesses , 1992 .

[36]  Mouzhi Ge,et al.  Effects of information quality on inventory management , 2008, Int. J. Inf. Qual..

[37]  John Mills,et al.  Competence and resource architectures , 2003 .

[38]  John P. Slone.  INFORMATION QUALITY STRATEGY: AN EMPIRICAL INVESTIGATION OF THE RELATIONSHIP BETWEEN INFORMATION QUALITY IMPROVEMENTS AND ORGANIZATIONAL OUTCOMES , 2006 .

[39]  Thiagarajan Ravichandran,et al.  Effect of Information Systems Resources and Capabilities on Firm Performance: A Resource-Based Perspective , 2005, J. Manag. Inf. Syst..

[40]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[41]  Derek Steeple,et al.  A FRAMEWORK FOR AUDITING AND ENHANCING PERFORMANCE MEASUREMENT SYSTEMS , 2000 .

[42]  Andy Neely,et al.  Performance measurement system design: developing and testing a process‐based approach , 2000 .

[43]  Barbara Wixom,et al.  Data Warehousing Supports Corporate Strategy At First American Corporation , 2000, MIS Q..

[44]  Larry P. English.  Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits , 1999 .

[45]  R. de Hoog,et al.  Measuring the economic value of information systems , 1996 .

[46]  Elfriede Krauth,et al.  Performance Measurement and Control in Logistics Service Providing , 2005, ICEIS.

[47]  Detmar W. Straub,et al.  Research Commentary: Transformational Issues in Researching IS and Net-Enabled Organizations , 2001, Inf. Syst. Res..

[48]  Ulrik Franke,et al.  Quantifying IT Impacts on Organizational Structure and Business Value with Extended Influence Diagrams , 2008, PoEM.

[49]  Sunil K. Sheoran,et al.  A review and analysis of supply chain operations reference (SCOR) model , 2004 .

[50]  Sasa Baskarada.  Information Quality Management Capability Maturity Model , 2009 .

[51]  Carlo Batini,et al.  Data Quality: Concepts, Methodologies and Techniques , 2006, Data-Centric Systems and Applications.

[52]  Mario Piattini,et al.  IQM3: Information Quality Management Maturity Model , 2008, J. Univers. Comput. Sci..

[53]  B. Wernerfelt,et al.  A Resource-Based View of the Firm , 1984 .

[54]  Zahir Irani,et al.  Information systems evaluation: navigating through the problem domain , 2002, Inf. Manag..