Design of Value-Performance Measurement System (V-PMS) for Work from Home (WFH) Performance
Keywords:
Performance Measurement System (PMS), work from home (WFH), value, value-added, stakeholderAbstract
This study aims to create a PMS that can be used by companies running WFH. The COVID-19 pandemic has forced people to change their work patterns. The experience of a new work pattern, namely work from home (WFH) experienced by employees and entrepreneurs during the Covid-19 pandemic, will lead to several advantages and disadvantages. The things that become advantages will be maintained by the company because they provide good benefits, while the things that are less are minimized. Companies that run WFH need a performance measurement system (PMS) so that the company's performance remains good and even increases. For this reason, a breakthrough is needed in the manufacture of this new PMS. The research methodology combines case studies with grounded theory. The company/organization was established to provide added value to all stakeholders to obtain satisfaction. However, some of these stakeholders are often forgotten and only prioritize shareholders or investors. So, this problem often arises, and the company does not last long.
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References
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Thurstone, L., A law of comparative judgment. Psychol Rev., 34(4), pp. 273–286, 1927.
Saaty, T.L., Modeling unstructured decision problems-the theory of analytical hierarchies. Math Comput Simulat, 20, pp. 147–158, 1978.
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Saaty, T.L., The Analytic Network Process. Iran J., Oper Res 1(1), pp. 1–27, 2008.
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Hayes-Roth, Frederick; Waterman, Donald; Lenat, Douglas (1983). Building Expert Systems. Addison-Wesley. ISBN 978-0-201-10686-2.
Campbell, D.T. & Stanley, J.C., Experimental and quasi-experimental designs for research. Boston: Houghton Mifflin
Ferguson, L. (2004). External validity, generalizability, and knowledge utilization. Journal of Nursing Scholarship, 36(1), pp. 16-22, 1963. doi: http://dx.doi.org/10.1111/j.1547-5069.2004.04006.x
Waterman, AS., The humanistic psychology-positive psychology divide: Contrasts in philosophical foundations. Am Psychol., 68, pp. 124–33, 2013.
Finfgeld & Connett D., Generalizability and transferability of metasynthesis research findings. J Adv Nurs., 66, pp. 246–54, 2010.
Golafshani, N., Understanding reliability and validity in qualitative research. The Qualitative Report, 8(4), pp. 597-607, 2003. Retrieved from https://nsuworks.nova.edu/tqr/vol8/iss4/6
Hair Jr. & Joseph. F., Multivariate Data Analysis Seventh Edition. Pearson Education Limited: Edinburgh, England, 2014.
Heale, R & Twycross, A., Validity and reliability in quantitative studies `Evidence-Based Nursing, 18, pp. 66-67, 2015.
Behn, R.D., Why Measure Performance? Different Purposes Require Different Measures. Public Administration Review, 63(5), pp. 586–606, 2003. https://doi.org/10.1111/1540-6210.00322
Moullin, M., Performance measurement definitions: Linking performance measurement and organisational excellence. International Journal of Health Care Quality Assurance, 20(3), pp. 181–183, 2007. https://doi.org/10.1108/09526860710743327.
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 & Production Management, 20(10), pp. 1119–1145, 2000. https://doi.org/10.1108/01443570010343708.
Mahmudi. 2010. Manajemen Kinerja Sektor Publik. Yogyakarta: UPP STIMYKPN.
Kaplan, R. S. & Norton, D. P., The Balanced Scorecard--measures that drive performance. Harvard Business Review., 1992.
Kaplan, Robert S., & Norton, D.P., Linking the Balanced Scorecard to Strategy. California Management Review, 39(1), pp. 53–79, 1996. https://doi.org/10.2307/41165876
Bititci, U. S., Carrie, A. S. & McDevitt, L., Integrated performance measurement systems: A development guide. International Journal of Operations and Production Management, 17(5), pp. 522–534, 1997. https://doi.org/10.1108/01443579710167230
Neely, A.D., Adams, C. & Kennerley, M., The Performance Prism: The Scorecard for Measuring and Managing Stakeholder Relationships, Financial Times/Prentice Hall, London., 2002.
Wibisono, D., A knowledge-based approach in the design of performance measurement systems in the manufacturing environment. PhD Dissertation. University of Bradford, the United Kingdom., 2003.
Khurshid Khan, M. & Wibisono, D., A hybrid knowledge-based performance measurement system. Business Process Management Journal, 14(2), pp. 129–146, 2008. https://doi.org/10.1108/14637150810864899.
Wibisono, D. & Khan, M. K., The conceptual framework of a knowledge-based performance managemet system. Gadjah Mada International Journal of Business, 2010. https://doi.org/10.22146/gamaijb.5506.
Möller, A. & Schaltegger, S., The Sustainability Balanced Scorecard as a framework for eco-efficiency analysis. Journal of Industrial Ecology, 9(4), pp. 73–83, 2005. https://doi.org/10.1162/108819805775247927
Butler, J., Henderson, S. C. & Raiborn, C., Sustainability and The Balanced Scorecard: Integrating Green Measures into Business Reporting. Management Accounting Quarterly, 2011.
Alewine, H. C., & Stone, D. N., How does environmental accounting information influence attention and investment, International Journal of Accounting and Information Management, 21(1), pp. 22–52, 2013. https://doi.org/10.1108/18347641311299731
Barbara, G., Paradigms and Sandcastles. Ann Arbor, MI: University of Michigan Press. pp. 117, 2003. doi:10.3998/mpub.11910. ISBN 978-0-472-09835-4
Eisenhardt, Kathleen M., Better Stories and Better Constructs: The Case for Rigor and Comparative Logic. The Academy of Management Review. 16(3), pp. 620–627, 1991. doi:10.5465/amr.1991.4279496. JSTOR 258921.
Yin, Robert K., Case Study Research: Design and Methods (6th ed.). Thousand Oaks, CA: SAGE Publications. ISBN 978-1-5063-3616-9.
Stake, Robert E., The Art of Case Study Research. Thousand Oaks, CA: SAGE Publications. pp. 99–102, 1995. ISBN 978-0-8039-5767-1.
Burawoy, Michael, The Extended Case Method: Four Countries, Four Decades, Four Great Transformations, and One Theoretical Tradition. Berkeley: University of California Press., 2009. ISBN 978-0-520-94338-4.
Seawright, Jason; Gerring, John, Case Selection Techniques in Case Study Research: A Menu of Qualitative and Quantitative Options, Political Research Quarterly, 2014. doi:10.4135/9781473915480.n31, ISBN 978-1-4462-7448-4
Martin, P.Y. & Turner, B.A., Grounded Theory and Organizational Research, The Journal of Applied Behavioral Science, 22(2), pp. 141, 1986.
Strauss, A. & Corbin, J., Grounded Theory Methodology: An Overview. In N. Denzin & Y. Lincoln Handbook of Qualitative Research. 1st ed., pp. 273–284, 1994.
Faggiolani, C., Perceived Identity: Applying Grounded Theory in Libraries. JLIS.it. University of Florence. 2(1), 2011. doi:10.4403/jlis.it4592. Retrieved 29 June 2013.
Allan, G., A Critique of Using Grounded Theory as a Research Method, Electronic Journal of Business Research Methods, 2(1), pp. 1-10, 2003.
Nandonde, Felix Adamu, A PESTLE analysis of international retailing in the East African Community". Global Business and Organizational Excellence., 38(4), pp. 54–61, 2019. doi: 10.1002/JOE.21935. ISSN 1932-205
Porter, Michael E., How Competitive Forces Shape Strategy, Harvard Business Review, 57(2), pp. 137–145, 1979.
Thurstone, L., A law of comparative judgment. Psychol Rev., 34(4), pp. 273–286, 1927.
Saaty, T.L., Modeling unstructured decision problems-the theory of analytical hierarchies. Math Comput Simulat, 20, pp. 147–158, 1978.
Saaty, T.L., Applications of analytical hierarchies. Math Comput Simulat, 21, pp. 1–20, 1979.
Saaty, T.L., The analytical hierarchy process. McGraw-Hill, New York, 1980.
Saaty, T.L., How to make a decision: the analytic hierarchy process. Eur J Oper Res., 48(1), pp. 9–26, 1990.
Saaty, T.L., Some mathematical concepts of the analytic hierarchy process. Behaviormetrika, 29, pp. 1–9, 1991.
Saaty, T.L., How to make a decision: the analytic hierarchy process. Interfaces, 24, pp. 19–43, 1994.
Saaty, T.L., Decision making with dependence and feedback: the analytic network process. RWS Publications, Pittsburgh. 1998. ISBN 0-9620317-9-8.
Saaty, T.L., Decision making with the analytic network process (ANP) and its “super decisions” software: the national missile defense (NMD) example. In: ISAHP 2001 proceedings, Bern, Switzerland, 2–4 Aug 2001.
Saaty, T.L., (2001b) Deriving the AHP 1–9 scale from first principles. In: ISAHP 2001 proceedings, Bern, Switzerland.
Saaty, T.L., (2005) Theory and applications of the analytic network process: decision making with benefits, opportunities, costs and risks. RWS Publications, Pittsburgh. ISBN 1-888603-06-2.
Saaty, T.L., The Analytic Network Process. Iran J., Oper Res 1(1), pp. 1–27, 2008.
Smith, Reid (2013) (May 8, 1985). "Knowledge-Based Systems Concepts, Techniques, Examples" (PDF). Reid G. Smith. Retrieved 9 November 2013.
Hayes-Roth, Frederick; Waterman, Donald; Lenat, Douglas (1983). Building Expert Systems. Addison-Wesley. ISBN 978-0-201-10686-2.
Campbell, D.T. & Stanley, J.C., Experimental and quasi-experimental designs for research. Boston: Houghton Mifflin
Ferguson, L. (2004). External validity, generalizability, and knowledge utilization. Journal of Nursing Scholarship, 36(1), pp. 16-22, 1963. doi: http://dx.doi.org/10.1111/j.1547-5069.2004.04006.x
Waterman, AS., The humanistic psychology-positive psychology divide: Contrasts in philosophical foundations. Am Psychol., 68, pp. 124–33, 2013.
Finfgeld & Connett D., Generalizability and transferability of metasynthesis research findings. J Adv Nurs., 66, pp. 246–54, 2010.
Golafshani, N., Understanding reliability and validity in qualitative research. The Qualitative Report, 8(4), pp. 597-607, 2003. Retrieved from https://nsuworks.nova.edu/tqr/vol8/iss4/6
Hair Jr. & Joseph. F., Multivariate Data Analysis Seventh Edition. Pearson Education Limited: Edinburgh, England, 2014.
Heale, R & Twycross, A., Validity and reliability in quantitative studies `Evidence-Based Nursing, 18, pp. 66-67, 2015.
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Published
2022-10-13
How to Cite
Kuswanto, A., Wibisono, D., & Wandebori, H. (2022). Design of Value-Performance Measurement System (V-PMS) for Work from Home (WFH) Performance. ITB Graduate School Conference, 1(1), 285–299. Retrieved from https://gcs.itb.ac.id/proceeding-igsc/index.php/igsc/article/view/27
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