Abstract
With the proliferation of business process reforms in organizations, the need for process-centric performance measurement systems is discussed in several studies. However, although there is considerable research on Performance Measurement Systems (PMSs) in general business contexts, research on performance measurement in process-centric contexts (e.g. within the BPM field) is scarce, and the characteristics of such process performance measurement systems (PPMSs) still remain poorly conceptualized, hindering their design and implementation. PPMSs are different from traditional performance measurement systems as the data gathered, and the information generated and disseminated are focused on processes, rather than on functions. This paper presents a PPMS characteristics framework, resulting from a multi-staged study design. Initially 38 PPMS characteristics were identified through a structured literature review which were then re-specified and confirmed with two in-depth case studies. The study findings resulted in an empirically supported PPMS characteristics framework, consisting of 30 PPMS characteristics grouped within 7 core themes, namely; (1) Quality characteristics; (2) Measurement Scope; (3) Contextual features considered in designing PPMS; (4) Relationship to organizational systems and structures; (5) Efficiency of information gathering and use; (6) Feedback and reporting; and (7) Potential uses of feedback generated. This is the first evidence-based synthesis of PPMSs characteristics and it provides a clear conceptualization and an understanding of what aspects a PPMS should comprise. The resulting framework will assist practitioners in designing and redesigning measurement systems in process centric contexts, which could in turn better support processes such as identifying improvement needs, measuring improved processes, benchmarking and controlling the processes, process maturity assessments, and benefits realization. The findings will also facilitate future research on PPMSs.
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References
Bai, C., Sarkis, J.: A grey-based DEMATEL model for evaluating business process management critical success factors. Int. J. Prod. Econ. 146(1), 281–292 (2013)
Alibabaei, A., Bandara, W., Aghdasi, M.: Means of achieving business process management success factors. In: Proceedings of the 4th Mediterranean conference on information systems. Department of Management Science & Technology, Athens University of Economics and Business (2009)
Trkman, P.: The critical success factors of business process management. Int. J. Inf. Manag. 30(2), 125–134 (2010)
Vuksic, V.B., Glavan, L.M., Susa, D.: The role of process performance measurement in BPM adoption outcomes in Croatia. Econ. Bus. Rev. Central South - Eastern Europe 17(1), 117–150 (2015)
Kueng, P.: Process performance measurement system: a tool to support process-based organizations. Total Qual. Manag. 11(1), 67–85 (2000)
Tregear, R.: Putting Process at the Center of Business Management. BPTrends September 2013, pp. 1–13 (2013)
Minonne, C., Turner, G.: Business process management - are you ready for the future? Knowl. Process Manag. 19(3), 111–120 (2012)
Abeygunasekera, A.W.J.C., Bandara, W., Wynn, M., Yigitbasioglu, O.: Nexus between Business Process Management (BPM) and accounting: a literature review and future research directions. Bus. Process Manag. J. 24(3), 745–770 (2018)
Choong, K.K.: Are PMS meeting the measurement needs of BPM? A literature review. Bus. Process Manag. J. 19(3), 535–574 (2013)
vom Brocke, J., Sonnenberg C.: Process Management and Accounting-An Overdue Take on Measuring the Economic Value of Business Processes. Class Notes: BPM and Education and Research (2014)
Hernaus, T., Bach, M.P., Vuksic, V.B.: Influence of strategic approach to BPM on financial and non-financial performance. Baltic J. Manag. 7(4), 376–396 (2012)
Tregear, R.: Practical Process: Measuring Processes. BPTrends November 2012, pp. 1–9 (2012)
Vuksic, V.B., Bach, M.P., Popovic, A.: Supporting performance management with business process management and business intelligence: a case analysis of integration and orchestration. Int. J. Inf. Manag. 33(4), 613–619 (2013)
Edson, P.D.L., Gouvea da Costa, S.E., Angelis, J.J., Munik, J.: Performance measurement systems: a consensual analysis of their roles. Int. J. Prod. Econ. 146(2), 524–542 (2013)
Lacerda, R.T.D.O., Ensslin, L., Ensslin, S.R., Knoff, L., Martins, D.J.C.: Research opportunities in business process management and performance measurement from a constructivist view. Knowl. Process Manag. 23(1), 18–30 (2016)
Kuwaiti, M.E., Kay, J.M.: The role of performance measurement in business process re-engineering. Int. J. Oper. Prod. Manag. 20(12), 1411–1426 (2000)
Sonnenberg, C., vom Brocke, J.: The missing link between BPM and accounting. Bus. Process Manag. J. 20(2), 213–246 (2014)
Bititci, U.S., Carrie, A.S., McDevitt, L.: Integrated performance measurement systems: a development guide. Int. J. Oper. Prod. Manag. 17(5), 522–534 (1997)
Tung, A., Baird, K., Schoch, H.P.: Factors influencing the effectiveness of performance measurement systems. Int. J. Oper. Prod. Manag. 31(12), 1287–1310 (2011)
Amaratunga, D., Baldry, D., Sarshar, M.: Process improvement through performance measurement: the balanced scorecard methodology. Work Study 50(5), 179–188 (2001)
Franco-Santos, M., et al.: Towards a definition of a business performance measurement system. Int. J. Oper. Prod. Manag. 27(8), 784–801 (2007)
Keathley, H., Du, R., Olliges, K.: Review of performance measurement practices in military and government sectors. In: Industrial and Systems Engineering Research Conference, Nashville, Tenn, pp. 1087–1096 (2015)
Beckley, G.B.: Metrics for continuous improvement: tapping the potential of legacy systems. J. Syst. Manag. 45(12), 20–21 (1994)
Kueng, P., Krahn, A.J.W.: Building a process performance measurement system: some early experiences. J. Sci. Ind. Res. 58(3), 149–159 (1999)
Housel, T.J., Morris, C.J., Westland, C.: Business process reengineering at Pacific Bell. Plan. Rev. 21(3), 28–33 (1993)
vom Brocke, J., Recker, J., Mendling, J.: Value-oriented process modeling: integrating financial perspectives into business process re-design. Bus. Process Manag. J. 16(2), 333–356 (2010)
Kohlbacher, M., Gruenwald, S.: Process orientation: conceptualization and measurement. Bus. Process Manag. J. 17(2), 267–283 (2011)
Dawson, R., O’Neill, B.: Simple metrics for improving software process performance and capability: a case study. Softw. Qual. J. 11(3), 243–258 (2003)
Nenadál, J.: Process performance measurement in manufacturing organizations. Int. J. Prod. Perform. Manag. 57(6), 460–467 (2008)
Rohloff, M.: Case study and maturity model for business process management implementation. In: Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds.) BPM 2009. LNCS, vol. 5701, pp. 128–142. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-03848-8_10
Rosemann, M., De Bruin T.: Application of a holistic model for determining BPM maturity. BPTrends February 2005, pp. 1–21 (2005)
Kohlbacher, M., Gruenwald, S.: Process ownership, process performance measurement and firm performance. Int. J. Prod. Perform. Manag. 60(7), 709–720 (2011)
del-Río-Ortega, A., Resinas, M., Cabanillas, C., Ruiz-Cortés, A.: On the definition and design-time analysis of process performance indicators. Inf. Syst. 38(4), 470–490 (2013)
Glavan, L.M.: Understanding process performance measurement systems. Bus. Syst. Res. 2(2), 25–38 (2011)
Van Looy, A., Shafagatova, A.: Business process performance measurement: a structured literature review of indicators, measures and metrics. SpringerPlus 5(1), 1797 (2016)
Wieland, U., Fischer, M., Pfitzner, M., Hilbert, A.: Process performance measurement system – towards a customer-oriented solution. Bus. Process Manag. J. 21(2), 312–331 (2015)
Crawford, K.M., Cox, J.F.: Designing performance measurement systems for just-in-time operations. Int. J. Prod. Res. 28(11), 2025–2036 (1990)
Lea, R., Parker, B.: The JIT spiral of continuous improvement. Ind. Manag. Data Syst. 89(4), 10–13 (1989)
Schalkwyk, J.C.: Total quality management and the performance measurement barrier. TQM Mag. 10(2), 124–131 (1998)
Kutucuoglu, K.Y., Hamali, J., Sharp, J.M., Irani, Z.: Enabling BPR in maintenance through a performance measurement system framework. Int. J. Flexible Manuf. Syst. 14(1), 33–52 (2002)
Bond, T.C.: The role of performance measurement in continuous improvement. Int. J. Oper. Prod. Manag. 19(12), 1318–1334 (1999)
Bandara, W., Furtmuller, E., Gorbacheva, E., Miskon, S., Beekhuyzen, J.: Achieving rigour in literature reviews: insights from qualitative data analysis and tool-support. Commun. Assoc. Inf. Syst. 37(1), 154–204 (2015)
Adams, R.J., Smart, P., Huff, A.S.: Shades of grey: guidelines for working with the grey literature in systematic reviews for management and organizational studies. Int. J. Manag. Rev. 19(4), 432–454 (2017)
Creswell, J.W.: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 3rd edn. Sage Publications, Thousand Oaks (2009)
Corbin, J.M., Strauss, A.L.: Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory, 3rd edn. SAGE Publications, Los Angeles (2008)
Wolfswinkel, J.F., Furtmueller, E., Wilderom, C.P.: Using grounded theory as a method for rigorously reviewing literature. Eur. J. Inf. Syst. 22(1), 45–55 (2013)
Benbasat, I., Goldstein, D., Mead, M.: The case research strategy in studies of information systems. MIS Q. 11(3), 369–386 (1987)
Yin, R.K.: Case Study Research: Design and Methods, 4th edn. Sage Publications, Thousand Oaks (2009)
vom Brocke, J., Zelt, S., Schmiedel, T.: Considering Context in Business Process Management: The BPM Context Framework. BPTrends December 2015, pp. 1–13 (2015)
Sousa, K., Mendonça, H., Lievyns, A., Vanderdonckt, J.: Getting users involved in aligning their needs with business processes models and systems. Bus. Process Manag. J. 17(5), 748–786 (2011)
Leyer, M., Heckl, D., Moormann, J.: Process performance measurement. In: vom Brocke, J., Rosemann, M. (eds.) Handbook on Business Process Management 2, 2nd edn. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-642-45103-4_9
Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Introduction to business process management. In: Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A. (eds.) Fundamentals of Business Process Management, pp. 1–31. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-33143-5_1
Albliwi, S., Antony, J., Abdul Halim Lim, S., van der Wiele, T.: Critical failure factors of Lean Six Sigma: a systematic literature review. Int. J. Qual. Reliab. Manag. 31(9), 1012–1030 (2014)
Chakrabarty, A., Kay Chuan, T.: An exploratory qualitative and quantitative analysis of Six Sigma in service organizations in Singapore. Manag. Res. News 32(7), 614–632 (2009)
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Appendices
Appendix A
PPMS characteristics extracted from the Structured Literature Review, available at; http://www.workflowpatterns.com/janitha/Appendix%20A.pdf
Appendix B
Case study evidence supporting the changes made to the a priori PPMS Characteristics, available at; http://www.workflowpatterns.com/janitha/Appendix%20B.pdf
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Abeygunasekera, A.W.J.C., Bandara, W., Wynn, M.T., Yigitbasioglu, O. (2019). Process Performance Measurement System Characteristics: An Empirically Validated Framework. In: Hildebrandt, T., van Dongen, B., Röglinger, M., Mendling, J. (eds) Business Process Management Forum. BPM 2019. Lecture Notes in Business Information Processing, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-030-26643-1_13
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