Researching performance measurement systems

Purpose – This paper aims to clarify the notions that underlie performance measurement systems (PMS) and to propose an information systems (IS)‐based characterisation and definition of PMS, that is, as a performance management information system (PMIS).Design/methodology/approach – Research on PMS can be enhanced by a clear, precise and uniform characterisation of this research object in IS terms A classification scheme is developed and the contribution areas of an IS perspective to PMS research are presented and exemplified.Findings – The knowledge developed in IS research in the form of IS theories, models and methods can be applied in research on PMS, particularly in empirical studies that analyse the individual and organisational behaviours associated with the PMS phenomenon.Research limitations/implications – The conceptualisation and definition of PMS, as found in the literature, have not truly reflected their basic nature and characterisation as IS.Practical implications – The research benefits of ...

[1]  Mike Kennerley,et al.  Managing through measures: a study of impact on performance , 2005 .

[2]  Phillip Ein-Dor,et al.  A Classification of Information Systems: Analysis and Interpretation , 1993, Inf. Syst. Res..

[3]  Andy Neely,et al.  Designing, implementing and updating performance measurement systems , 2000 .

[4]  Steven L. Alter.  Work Systems and IT Artifacts - Does the Definition Matter? , 2006, Commun. Assoc. Inf. Syst..

[5]  Stefan Tangen,et al.  Performance measurement: from philosophy to practice , 2004 .

[6]  Richard Baskerville,et al.  Investigating Information Systems with Action Research , 1999, Commun. Assoc. Inf. Syst..

[7]  Louis Raymond,et al.  Characterising the financial situation of Canadian manufacturing SMEs: a confirmatory approach , 2007 .

[8]  Louis Raymond,et al.  Determinants of EIS use: Testing a behavioral model, , 1995, Decis. Support Syst..

[9]  Steve Smithson,et al.  Information systems evaluation in practice: a case study of organizational change , 2000, J. Inf. Technol..

[10]  Rudy Hirschheim,et al.  A Dynamic Framework for Classifying Information Systems Development Methodologies and Approaches , 2000, J. Manag. Inf. Syst..

[11]  A. Sharif.  Benchmarking performance management systems , 2002 .

[12]  Marc J. Epstein,et al.  Implementing corporate strategy:: From Tableaux de Bord to balanced scorecards , 1998 .

[13]  Andy Neely,et al.  Performance measurement system design , 1995 .

[14]  Blaize Horner Reich,et al.  IT alignment: what have we learned? , 2007, J. Inf. Technol..

[15]  E. Penrose.  The theory of the growth of the firm twenty-five years after , 1960 .

[16]  P. Garengo,et al.  Performance Measurement Systems in SMEs: A Review for a Research Agenda , 2005 .

[17]  R. Kaplan,et al.  Using the balanced scorecard as a strategic management system , 1996 .

[18]  J. C. Thomas,et al.  Developing a Municipal Performance‐Measurement System: Reflections on the Atlanta Dashboard , 2005 .

[19]  Umit Bititci,et al.  Towards a contingency approach to performance measurement: an empirical study in Scottish SMEs , 2007 .

[20]  Peter Kueng,et al.  Process performance measurement system: A tool to support process-based organizations , 2000 .

[21]  William K. McHenry,et al.  The Russian's federation's Y2K policy: too little, too late? , 1999 .

[22]  John Rohrbaugh,et al.  A Spatial Model of Effectiveness Criteria: Towards a Competing Values Approach to Organizational Analysis , 1983 .

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

[24]  David Sinclair,et al.  Performance measurement: a critical analysis of the literature with respect to total quality management , 2000 .

[25]  Themis Palpanas,et al.  Integrated model-driven dashboard development , 2007, Inf. Syst. Frontiers.

[26]  R. Kelly Rainer,et al.  Executive Information Systems: A Framework for Development and a Survey of Current Practices , 1991, MIS Q..

[27]  Steve Mason,et al.  Towards a definition of a business performance measurement system , 2007 .

[28]  Stefano Tonchia,et al.  Performance measurement systems - Models, characteristics and measures , 2001 .

[29]  A. Neely.  Does the balance scorecard work: an empirical investigation , 2008 .

[30]  D. Teece,et al.  DYNAMIC CAPABILITIES AND STRATEGIC MANAGEMENT , 1997 .

[31]  Kelvin F. Cross,et al.  Measure Up!: Yardsticks for Continuous Improvement , 1991 .

[32]  Wanda J. Orlikowski,et al.  Research Commentary: Desperately Seeking the "IT" in IT Research - A Call to Theorizing the IT Artifact , 2001, Inf. Syst. Res..

[33]  J. Barney.  Firm Resources and Sustained Competitive Advantage , 1991 .

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

[35]  Louis Raymond,et al.  Short‐term effects of benchmarking on the manufacturing practices and performance of SMEs , 2004 .

[36]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[37]  Louis Raymond,et al.  Evaluation of EIS from a managerial perspective 1 , 1992, Inf. Syst. J..

[38]  V. Ridgway.  Dysfunctional Consequences of Performance Measurements , 1956 .

[39]  Gianluca Spina,et al.  A comparison of practice‐performance models between small manufacturers and subcontractors , 2002 .

[40]  M. Porter.  Towards a dynamic theory of strategy , 1991 .

[41]  Andy Neely,et al.  The Performance Prism: The Scorecard for Measuring and Managing Business Success , 2002 .

[42]  Asbjørn Rolstadås,et al.  Enterprise performance measurement , 1998 .

[43]  Andreas Meier,et al.  Performance Measurement Systems Must Be Engineered , 2001, Commun. Assoc. Inf. Syst..

[44]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

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

[46]  Sylvain Delisle,et al.  An expert diagnosis system for the benchmarking of SMEs' performance , 2006 .

[47]  Umit Bititci,et al.  Integrated performance measurement systems: a development guide , 1997 .

[48]  Yoris A. Au.  Design Science I: The Role of Design Science in Electronic Commerce Research , 2001, Commun. Assoc. Inf. Syst..

[49]  E. Ziegel,et al.  The Balanced Scorecard , 1998 .

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

[51]  Kate Blackmon,et al.  Small firms under MICROSCOPE: international differences in production/operations management practices and performance , 2001 .

[52]  David J. Cooper,et al.  Performance Measures and the Rationalization of Organizations , 2003 .

[53]  Umit Bititci,et al.  Integrated performance measurement systems: an audit and development guide , 1997 .

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

[55]  Ron Weber,et al.  Still desperately seeking the IT artifact , 2003 .

[56]  R R Sokal,et al.  Classification: Purposes, Principles, Progress, Prospects , 1974, Science.

[57]  A. Neely.  The evolution of performance measurement research: Developments in the last decade and a research agenda for the next , 2005 .

[58]  Shih-Jen Kathy Ho,et al.  Performance Measurement and the Implementation of Balanced Scorecards in Municipal Governments , 2002 .