Managing Knowledge and Learning for Process Improvement: A Software-Mediated Process Assessment Approach for IT Service Management
As business users increasingly rely upon services from their information technology (IT) service providers, the demand for process improvements in IT services will continue to grow. Although service outcome measures, such as customer satisfaction, may represent the desired end result of IT services, validated assessment of processes provides an important additional element to process improvement efforts, as they may determine actions that could be taken to improve IT services. In the fast-changing and dynamic business environment, IT service organisations must continue to improve their learning processes, create knowledge and implement best practices that allow them to be able to deliver innovative and adaptive value-adding services to their clients. In this chapter, we describe how we applied the software-mediated process assessment (SMPA) approach to assist IT service organisations to conduct process assessments in a transparent and cost-effective manner. In addition, we introduce a knowledge management (KM) process cycle that illustrates how KM and learning processes may be used concurrently to achieve process improvement within the SMPA approach for maximum impact in the IT service management (ITSM) sector. We introduce and discuss three innovative strategies using the SMPA approach to conduct process assessments in the ITSM sector. The practical strategies include (1) adopting the international standards for assessments; (2) facilitating assessments using a decision support system (DSS) tool; and (3) incorporating process assessments for managing knowledge and learning processes. A KM process cycle along with the SMPA approach is introduced. Key value propositions of the SMPA approach are highlighted.
KeywordsKnowledge management Learning process Process improvement Software-mediated process assessment approach IT service management
This work is supported by an Australian Research Council (ARC) Linkage grant. We thank Mr Paul Collins, CEO of Assessment Portal for his support in providing the platform for the DSS tool. Note. ITIL® is a Registered Trade Mark of AXELOS Limited.
- Aakhus, M. (2007). Conversations for reflection. In C. R. McInerney & R. E. Day (Eds.), Rethinking knowledge management: From knowledge objects to knowledge processes (pp. 1–20). Berlin, Heidelberg: Springer Berlin Heidelberg.Google Scholar
- Alter, S. L. (1980). Decision support systems: Current practice and continuing challenge. Reading: Addison-Wesley.Google Scholar
- Barafort, B., Betry, V., Cortina, S., Picard, M., St-Jean, M., Renault, A., & Valdès, O. (2009). ITSM process assessment supporting ITIL. Zaltbommel: Van Haren Publishing.Google Scholar
- Basili, V. R., Caldiera, G., Rombach, H. D., & van Solingen, R. (2002). Goal question metric (GQM) approach. J. Marciniak: Encyclopedia of Software Engineering, 1, 578–583.Google Scholar
- Becerra-Fernandez, I., & Sabherwal, R. (2015). Knowledge management: Systems and processes. New York: Routledge.Google Scholar
- Deloitte. (2017). Technology industry outlook 2017. created by Deloitte, https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/technology-industry-outlook.html.
- Garud, R. (1997). On the distinction between know-how, know-what, and know-why. In J. P. Walsh & A. S. Huff (Eds.), Advances in strategic management (Vol. 14, pp. 81–101). Greenwich: JAI Press Limited.Google Scholar
- Ireland, R. D., & Hitt, M. A. (1999). Achieving and maintaining strategic competitiveness in the 21st century: The role of strategic leadership. Academy of Management Executive, 13(1), 43–57.Google Scholar
- ISO/IEC. (2004). ISO/IEC 15504-2:2004 – Information technology – Process assessment – Part 2: Performing an assessment. Geneva: International Organisation for Standardisation.Google Scholar
- ISO/IEC. (2011a). ISO/IEC 20000-1:2011 – Information technology – Service management – Part 1: Service management system requirements. Geneva: International Organisation for Standardisation.Google Scholar
- ISO/IEC. (2011b). ISO/IEC 25010:2011 – Systems and software engineering – Systems and software quality requirements and evaluation (SQuaRE) – System and software quality models. Geneva: International Organisation for Standardisation.Google Scholar
- Juran, J. M., & Godfrey, A. B. (1999). Juran’s quality handbook (5th ed.). New York: McGraw-Hill.Google Scholar
- Kapeleris, J. (2010). “Applied” knowledge is power. Published on 29 November 2010, (Blog). http://johnkapeleris.com/blog/?p=502. Accessed 29 June 2017.
- Kaplan, R. S., & Norton, D. P. (1992). The Balanced scorecard – Measures that drive performance. Harvard Business Review, 70(1), 71–79.Google Scholar
- Pries-Heje, J, Baskerville, R, & Venable, J. R. (2008). Strategies for design science research evaluation. In 16th European conference on information systems. Galway.Google Scholar
- Quinn, J. B., Anderson, P., & Finkelstein, S. (1996). Managing professional intellect: Making the most of the best. Harvard Business Review, 74(2), 71–80.Google Scholar
- Rudd, C., & Sansbury, J. (2013). ITIL® maturity model and self-assessment service: User guide. Norwich: AXELOS Limited.Google Scholar
- Schimpf, H. (2015). Competitive intelligence and knowledge management: A study of enhancing the employees’ motivation to sharing their knowledge. Hamburg: Anchor Academic Publishing.Google Scholar
- Shrestha, A. (2015). Development and evaluation of a software-mediated process assessment approach in IT service management. Doctoral dissertation, University of Southern Queensland.Google Scholar
- TSO. (2011). The Official introduction to the ITIL service lifecycle. London: The Stationery Office.Google Scholar
- Wong, D. (2014). Here are the biggest IT challenges in financial services industry. Asian Banking & Finance, viewed 26 June 2017, http://asianbankingandfinance.net/blogs-opinion/commentary/here-are-biggest-it-challenges-in-financial-services-industry.