Project practitioner experience in risk ranking analysis – an empirical study in Malaysia and Singapore

• Authors: PANG Der-Jiun , SHAVAREBI Kamran , NG Sokchoo
• Languages of publication: EN

Abstracts

EN

Despite the Information Technology (IT) sector’s continuing growth driving massive demand for IT project practitioners, the high failure rate of IT projects has caused enormous losses for many organizations. Establishing effective and proactive practice for project risk management (PRM) is imperative. Risk exposure scoring is becoming a critical risk classifier in prioritizing items in descending order, developing plans to address the most significant factors, and leaving the rest on a “watch list”. This study analyzes responses from targeted project managers (PM) in Malaysia-Singapore to a survey. The author ranked the intrinsic risk of projects and investigated the effect of a project practitioner’s level of experience in risk assessment. The results indicated that a project practitioner’s assessments of risk depend on the number of years of experience acquired.

Keywords

EN

ranking project risk; project management techniques assessment tool; project management success; practitioner; experience

• Publisher: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
• Journal: Operations Research and Decisions
• Year: 2022
• Volume: 32
• Issue: 2
• Pages: 125-136

Contributors

author

PANG Der-Jiun

• Department Faculty of Arts and Science, International University of Malaya-Wales (IUMW), Malaysia

author

SHAVAREBI Kamran

• Faculty of Engineering and Quantity Surveying, INTI International University, Malaysia

author

NG Sokchoo

• Department Faculty of Arts and Science, International University of Malaya-Wales (IUMW), Malaysia

References

• Almaiah, M. A., Jalil, M. M. A., and Man, M. Empirical investigation to explore factors that achieve high quality of mobile learning system based on students’ perspectives. Engineering Science and Technology, an International Journal 19, 3 (2016), 1314–1320.
• Barki, H., Rivard, S., and Talbot, J. An integrative contingency model of software project risk management. Journal of Management Information Systems 17, 4 (2001), 37–69.
• Cowie, G. The importance of people skills for project managers. Industrial and Commercial Training 35, 6 (2003), 256–258.
• Diise, A. I., Zakaria, H., and Abujaja, A. M. Challenges of teaching and learning of agricultural practical skills: The case of deploying project method of teaching among students of Awe Senior High School in the Upper East Region, Ghana. International Journal of Agricultural Education and Extension 4, 2 (2018), 167–179.
• Efe, P., and Demirors, O. A change management model and its application in software development projects. Computer Standards and Interfaces 66, 103353 (2019), 1–12.
• El-Sayegh, S. M. Risk assessment and allocation in the UAE construction industry. International Journal of Project Management 26, 4 (2008), 431–438.
• Etikan, I., Alkasim, R., and Abubakar, S. Comparision of snowball sampling and sequential sampling technique. Biometrics and Biostatistics International Journal 3, 1 (2016), 6–7.
• George, D., and Mallery, P. IBM SPSS Statistics 26 Step By Step: A Simple Guide And Reference. Routledge, 2019.
• Guo, S., Zhong, S., and Zhang, A. Privacy-preserving Kruskal-Wallis test. Computer Methods and Programs in Biomedicine 112, 1 (2013), 135–145.
• He, Q., Wang, T., Chan, A. P. C., Li, H., and Chen, Y. Identifying the gaps in project success research: A mixed bibliographic and bibliometric analysis. Engineering, Construction and Architectural Management 26, 8 (2019), 1553–1573.
• Hughes, D. L., Rana, N. P., and Simintiras, A. C. The changing landscape of IS project failure: an examination of the key factors. Journal of Enterprise Information Management 30, 1 (2017), 142–165.
• Jørgensen, M. Relationships between project size, agile practices, and successful software development: Results and analysis. IEEE Software 36, 2 (2019), 39–43.
• Kadam, P., and Bhalerao, S. Sample size calculation. International Journal of Ayurveda Research 1, 1 (2010), 55–57.
• Lamprou, A., and Vagiona, D. Success criteria and critical success factors in project success : a literature review. International Journal of Real Estate and Land Planning 1, 1 (2018), 276 – 284.
• Lappi, T. M., Aaltonen, K., and Kujala, J. Project governance and portfolio management in government digitalization. Transforming Government: People, Process and Policy 13, 2 (2019), 159–196.
• Legendre, P. Species associations: the Kendall coefficient of concordance revisited. Journal of Agricultural, Biological, and Environmental Statistics 10, 2 (2005), 226–245.
• Liu, T., Wang, Y., and Wilkinson, S. Identifying critical factors affecting the effectiveness and efficiency of tendering processes in Public-Private Partnerships (PPPs): A comparative analysis of Australia and China. International Journal of Project Management 34, 4 (2016), 701–716.
• Ong, C. H., and Bahar, T. Factors influencing project management effectiveness in the Malaysian local councils. International Journal of Managing Projects in Business 12, 4 (2019), 1146–1164.
• Pace, M. A correlational study on project management methodology and project success. Journal of Engineering, Project, and Production Management 9, 2 (2019), 56–65.
• Pang, D.-J. Survey Questions, 2021.
• Rafele, C., , Hillson, D. A., and Grimaldi, S. Understanding project risk exposure using the two-dimensional risk breakdown matrix. In 2005 PMI Global Congress Proceedings – Edinburgh, Scotland (2005).
• Rahman, M. M., and Kumaraswamy, M. M. Assembling integrated project teams for joint risk management. Construction Management and Economics 23, 4 (2005), 365–375.
• Sharad, D. Management by projects: an ideological breakthrough. Project Management Journal 17, 1 (1986), 61–63.
• Shenhar, A. J., Dvir, D., Levy, O., and Maltz, A. C. Project success: A multidimensional strategic concept. Long Range Planning 34, 6 (2001), 699–725.
• The Standish Group. The chaos report 2015. Standish Group - Chaos Report 49 (2015), 1–8.
• Volden, G. H., and Andersen, B. The hierarchy of public project governance frameworks: An empirical study of principles and practices in Norwegian ministries and agencies. International Journal of Managing Projects in Business 11, 1 (2018), 174–197.
• Won, J., and Seo, Y.-S. Software test effort estimation based on source code change history and defect information. In Advances in Computer Science and Ubiquitous Computing (Singapore, 2020), J. J. Park, D.-S. Park, Y.-S. Jeong, and Y. Pan, Eds., Springer Singapore, pp. 219–227.

Identifiers

DOI

10.37190/ord220208