Critical success factors for implementation of quality improvement initiative
Subject Areas : Design of ExperimentMohamad Ikbar Abdul Wahab 1 , Faris Hakim Mazlan 2 , Mohd Amran Mohd Daril 3 , Khairanum Subari 4 , Mazlan Awang 5 , Khairul Anuar Mohd Ali 6 , Nohman Khan 7
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Keywords: CSF, Critical Success Factors, Improvement Initiative, Organizational Readiness,
Abstract :
As time evolves, the demand of the markets becomes much more dynamic and for meeting client’s expectations and have the edge over others, changes in existent processes are compulsory. Thus, Improvement Initiative (IMI) provides guidelines in achieving organizational goals which is to optimize profit and enhance the productivity. However, several cases have been reported with low rate of success of the IMI’s practice in which they have failed to achieve the intended improvement result and one of the factors is lack of awareness of the IMI’s Critical Success Factors (CSF). The process to identify the CSFs of an IMI is significant as it allows organizations to focus their effort to make sure they are ready and qualified when implementing the respective IMI and prevent improvement failures in the future. In addition, lack of reference regarding the reference model of comprehensive CSFs for an IMI from existing literatures allow a new study to bridge this research gap. Therefore, this paper sets out the findings of reviewing and gathering latest critical success factors and thus developing a reference model that incorporate lists of CSFs for each IMI with their attributes. This study incorporated Positivism as the research perspective and adopted quantitative research method to meet the objectives. Via extensive systematic literature review (SLR) procedures, a total of 72 publications were used to extract information needed which later enable the conceptual model development for IMI selection of comprehensive critical success factors as a reference support for decision makers. To ensure generalization of the model, the quantitative research method was adopted with a total of 137 respondents’ feedback of survey were gathered from various organizations. The reflective-formative hierarchical model was then developed and analyzed using structural equation modelling (SEM) via Smart PLS software to test the model of CSFs for IMI. As the final result, six out of nine CSFs with 39 attributes were considered as critical factors when choosing the most suitable IMI to be adopted in an organization. As a conclusion, this research provides organizational readiness when starting to deploy IMI by providing comprehensive critical success factors as a reference point to aid and prepare practitioners that will lead to the failure of improvement in their business.
Abdul Wahab, M. I. (2020). Development of Rational Selection Model for Improvement Initiatives. International Journal of Advanced Trends in Computer Science and Engineering.
Basir, S. A., & Davies, J. (2016). ISO 9000 maintenance measures: the case of a Malaysian local authority. Total Quality Management & Business Excellence, 29(1–2), 185–201.
Bhasin, S. (2012). An appropriate change strategy for Lean success. Management Decision, 50(3), 439–458
Candido, C. J. F., & Santos, S. P. (2011). Is TQM more difficult to implement than other transformational strategies? Total Quality Management and Business Excellence, 22(12), 1139–1164
Daniel, D. R. (1961). Management Information Crisis. Harvard Business Review. September – October 1961, p .111.
El Safty, S.B (2012). Critical success factors of lean manufacturing implementation in automotive industry in China. No. 2012-01-0516. SAE Technical Papers.
Farrington, T., Antony, J., & O’Gorman, K. D. (2018). Continuous improvement methodologies and practices in hospitality and tourism. International Journal of Contemporary Hospitality Management, 30(1), 581–600.
Field, A. (2017). Discovering statistics using IBM SPSS statistics: North American edition. Sage.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Geisser, S. (1975). The predictive sample reuse method with applications. Journal of the American Statistical Association, 70, 350, 320-328.
Habib, M. N. (2013). Understanding critical success and failure factors of business process reengineering. International Review of Management and Business Research, 2(1), 1-10.
Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M., (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage, Thousand Oaks.
Kirkham, L., Garza-Reyes, J. A., Kumar, V., & Antony, J. (2014). Prioritization of operations improvement projects in the European manufacturing industry. International Journal of Production Research, 52(18), 5323–5345.
Kupiainen, E., Mäntylä, M. V., & Itkonen, J. (2015). Using metrics in Agile and Lean software development - A systematic literature review of industrial studies. Information and Software Technology, 62(1), 143–163.
Moosa, K., & Sajid, A. (2010). Critical analysis of Six Sigma implementation. Total Quality Management & Business Excellence, 21(7), 745–759
Netland, T. H. (2016). Critical success factors for implementing lean production: the effect of contingencies. International Journal of Production Research, 54(8), 2433-2448.
Oakland, J. S. & Tanner, S. (2007). Successful Change Management. Total Quality Management and Business Excellence, 18(1-2):1-19
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
Ringle, C. M., & Sarstedt, M., Hair, J. F. (2011). PLS-SEM: Indeed, a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Selvaraju, M., Bhatti, M. A., Sundram, V. P. K., & Azmir, S. (2019). The Influence of Critical Success Factors of Lean Six Sigma towards Supply Chain Performance in Telecommunication Industry, Malaysia. International Journal of Supply Chain Management, 8(6), 1062.
Shiau, W. L., Sarstedt, M., & Hair, J. F. (2019). Internet research using partial least squares structural equation modeling (PLS-SEM). Internet Research.
Sony, M., Antony, J., & Naik, S. (2020). How do organizations implement an effective LSS initiative? A qualitative study. Benchmarking: An International Journal, 27(5), 1657–1681.
Stone, M. (1974). Cross validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36, 2, 111-147
Talib, A., & Nizam, A. (2011). Quantitative research method. Malaysian Academic Library Institutional Repository.
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14(3), 207–222.
Yadav, N., Shankar, R., Singh, S. P. (2021). Hierarchy of Critical Success Factors (CSF) for Lean Six Sigma (LSS) in Quality 4.0. International Journal of Global Business and Competitiveness, 16, pg. 1–14