Transforming payment processing through lean and kaizen management : A Malaysian public service perspective
DOI:
https://doi.org/10.32890/gbmr2025.17.1.4Keywords:
Kaizen, Lean Management, Lead time, SLA Performance, Value Stream MappingAbstract
Lean management has emerged as a transformative methodology for optimizing operational efficiency and reducing waste in various sectors. However, its application within public office environments, particularly in payment processing services, remains underexplored. This study investigates the implementation of Lean and Kaizen methodologies in a Malaysian Government-Linked Company (GLC) responsible for payment processing. Lean management focuses on eliminating waste and optimizing processes, while Kaizen is a continuous improvement strategy that enhances operational efficiency through incremental changes. The study highlights significant inefficiencies in service delivery, with Service Level Agreement (SLA) performance scores fluctuating between 54.68% and 95.16% from January to July 2020, indicating an urgent need for process optimization.Using Value Stream Mapping (VSM), Kaizen burst events, and structured problem-solving techniques, the study identifies key bottlenecks in file movement, verification, and approval processes. VSM is a Lean tool that visualizes and analyzes workflows to detect inefficiencies and streamline operations. Through targeted Lean interventions, the organization successfully achieved a minimum SLA performance threshold of 82%, demonstrating improved workflow efficiency, reduced lead times, and enhanced employee engagement. The findings emphasize the potential of Lean and Kaizen in optimizing administrative processes in the public sector, advocating for wider adoption and further empirical research in this domain.
Downloads
References
Abdullah, J., Zanudin, K., & Marzukhi, M. A. (2022). Twelfth Malaysia Plan: Prospective impacts on urban and regional development. Planning Malaysia, 20(23), 1–15. https://doi.org/10.21837/pm.v20i23.1170
Abideen, A. Z., & Mohamad, F. (2020). Improving the performance of a Malaysian pharmaceutical warehouse supply chain by integrating value stream mapping and discrete event simulation. Journal of Modelling in Management, 15(3), 250–270. https://doi.org/10.1108/jm2-07-2019-0159
Akram, A., Sahraoui, B. B., & Kadri, S. R. (2024). The analysis of the level of adoption of lean practices in the construction companies in Algeria. International Journal of Innovative Technologies in Economy, 10(2), 35–50. https://doi.org/10.31435/rsglobal_ijite/30062024/8169
Ariffin, Z. Z., Sulaiman, A. J., Bidin, Z., & Muhammad Jamil, C. Z. (2023). Green tax policy model: Towards green growth environment. Comp.by.PaperAsia, 39(6), 47–60. https://doi.org/10.59953/cpa.v39i6(b).47
Aripin, N. M., Nawanir, G., & Hussain, S. (2023). Lean culture for a successful lean manufacturing implementation: An empirical evidence from Malaysian manufacturing industry. International Journal of Industrial Management, 17(2), 90–112. https://doi.org/10.15282/ijim.17.2.2023.9037
Aripin, N. M., Nawanir, G., Hussain, S., Mahmud, F., & Lee, K. L. (2024). Sustenance strategies for lean manufacturing implementation in Malaysian manufacturing industries. International Journal of Automotive and Mechanical Engineering, 21(1), 85–100. https://doi.org/10.15282/ijame.21.1.2024.06.0852
Astiena, A. K., Hadiguna, R. A., Iswanto, A. H., & Hardisman, H. (2022). Digitalization of outpatient services based on lean management to reduce waiting time in government hospital. International Journal on Advanced Science Engineering and Information Technology, 12(6), 17212–17230. https://doi.org/10.18517/ijaseit.12.6.17212 Global Business Management Review: Vol. 17 Number 1 June 2025
Brian, B., McDermott, O., & Noonan, J. T. (2021). Applying lean six sigma methodology to a pharmaceutical manufacturing facility: A case study. Processes, 9(3), 550–570. https://doi.org/10.3390/pr9030550
Buer, S.-V., Semini, M., Strandhagen, J. O., & Sgarbossa, F. (2020). The complementary effect of lean manufacturing and digitalisation on operational performance. International Journal of Production Research, 58(24), 230–245. https://doi.org/10.1080/00207543.2020.1790684
Chang, T.-W., & Kumar, D. (2021). Overview of environmental management practice for construction in Malaysia. Civil and Sustainable Urban Engineering, 1(1), 33–45. https://doi.org/10.53623/csue.v1i1.33
Chang, Y. W., & Ng, D. (2022). A pre- and post-MCCG 2012 evaluation on the impacts of corporate governance and intellectual capital with firm performance. Environment-Behaviour Proceedings Journal, 7(SI8), 3909–3922. https://doi.org/10.21834/ebpj.v7isi8.3909
Ciano, M. P., Dallasega, P., Orzes, G., & Rossi, T. (2020). One-to-one relationships between Industry 4.0 technologies and lean production techniques: A multiple case study. International Journal of Production Research, 58(20), 172–185. https://doi.org/10.1080/00207543.2020.1821119
Elhaj, M., Ahmed, A., & Wong, L. (2020). The strategies of lean planning at selected construction sites in Klang Valley, Malaysia: A structural equation modeling approach. Jordan Journal of Civil Engineering, 14(3), 120–138.
Engel, R., Fernández, P., Ruiz–Cortés, A., Megahed, A., & Ojeda-Perez, J. S. (2022). SLA-aware operational efficiency in AI-enabled service chains: Challenges ahead. Information Systems and E-Business Management, 20(4), 551–570. https://doi.org/10.1007/s10257-022-00551-w
Girau, E. A., Bujang, I., Jidwin, A. P., & Said, J. (2021). Corporate governance challenges and opportunities in mitigating corporate fraud in Malaysia. Journal of Financial Crime, 28(3), 1–15. https://doi.org/10.1108/jfc-02-2021-0045
Hassan, N., Ramli, M. S., Halif, M. M., Aziz, R. A., & Zainal, N. Z. (2021). The predictors of employee mindset towards employee innovativeness: A comparative study between two government-linked companies in Malaysia. Revista Gestão Inovação E Tecnologias, 11(4), 2319–2335. https://doi.org/10.47059/revistageintec.v11i4.2319
Jiménez, M., Mar Escudero, M. del, Somonte, M. D., Romero, M., & Awad, T. (2021). Adaptation of the lean 6S methodology in an industrial environment under sustainability and Industry 4.0 criteria. Sustainability, 13(22), 12449–12462. https://doi.org/10.3390/su132212449
Khan, S. U., Nazir, B., Hanif, M., Ali, A., Alam, S., & Habib, U. (2022). Adaptive runtime monitoring of service level agreement violations in cloud computing. Computers Materials & Continua, 72(3), 20852–20868. https://doi.org/10.32604/cmc.2022.020852
Koonce, T., & Neutze, D. (2020). Improving patient care through workspace renovation and redesign: A lean approach. Family Medicine, 52(5), 243–250. https://doi.org/10.22454/fammed.2020.429243
Koç, Z., & Ecevit Alpar, Ş. (2023). Do lean practices increase nurses' organizational commitment and job satisfaction in Turkey? – A private hospital model. Journal of Human Sciences, 20(2), 129–142. https://doi.org/10.14687/jhs.v20i2.6293
Lim, Y. H., Lada, S., Ullah, R., & Adis, A.-A. A. (2020). Non-Muslim consumers' intention to purchase halal food products in Malaysia. Journal of Islamic Marketing, 12(2), 172–185. https://doi.org/10.1108/jima-06-2020-0172
Loang, O. K., Ahmad, Z., Subramaniam, G., Chong, K. M., & Gooi, L. M. (2022). Benchmarking Malaysian government-linked companies' corporate governance and sustainable development goals performance with public companies of developed countries. IPN Journal of Research and Global Business Management Review: Vol. 17 Number 1 June 2025 Practice in Public Sector Accounting and Management, 12(1), 171–202. https://doi.org/10.58458/ipnj.v12.01.08.0081
Marsilio, M., & Pisarra, M. (2021). Lean management in health care: A review of reviews of socio-technical components for effective impact. Journal of Health Organization and Management, 35(4), 423–450. https://doi.org/10.1108/jhom-06-2020-0241
Mawardi, A., Marlina, L., & Az Zahra, Q. S. (2022). Tabdzir (waste) reduction using lean manufacturing approach in Fadhila Aqiqah Tasikmalaya production process. Jurnal Ekonomi Syariah Akuntansi Dan Perbankan (Jeskape), 6(2), 932–950. https://doi.org/10.52490/jeskape.v6i2.932
Medjedović, E., Šehić-Kršlak, S., Stanojević, M., Zvizdić, Z., Begić, E., Nurković, J., Cerovac, A., Suljević, A., & Kulo, A. (2023). Analysis of improving business processes by implementing the lean concept at the level of tertiary healthcare. Rad Hrvatske Akademije Znanosti I Umjetnosti Medicinske Znanosti, 20(3), 315–335. https://doi.org/10.21857/9e31lh65vm
Mrabti, A., Bouajaja, S., Hachicha, H. K., & Nouri, K. (2023). Digital 5S: A case study of an automotive wiring industry. ITM Web of Conferences, 52(1), 1005–1015. https://doi.org/10.1051/itmconf/20235201005
Osman, A. A., Othman, A. A., & Abdul Rahim, M. K. I. (2020). Lean manufacturing adoption in Malaysia: A systematic literature review. International Journal of Supply Chain, Operation Management and Logistics, 1(1), 1–35. https://doi.org/10.35631/ijscol.11001
Raji, I. O., Shevtshenko, E., Rossi, T., & Strozzi, F. (2021). Industry 4.0 technologies as enablers of lean and agile supply chain strategies: An exploratory investigation. The International Journal of Logistics Management, 32(4), 1150–1189. https://doi.org/10.1108/ijlm-04-2020-0157
Ridzuan, M. R., Razali, J. R., Ju, S. Y., & Syazwani Rahman, N. A. (2022). An analysis of Malaysian public policy in disaster risk reduction: An endeavour of mitigating the impacts of flood in Malaysia. International Journal of Academic Research in Business and Social Sciences, 12(7), 14247–14265. https://doi.org/10.6007/ijarbss/v12-i7/14247
Rochman, Y. A., Sudiarso, A., & Herliansyah, M. K. (2024). Development of lean implementation framework for Indonesian batik small and medium-sized enterprises. International Journal of Engineering, 37(11B), 345–360. https://doi.org/10.5829/ije.2024.37.11b.09
Roey, T., Hung, D. Y., Rundall, T. G., Fournier, P., Zhong, A., & Shortell, S. M. (2023). Lean performance indicators and facilitators of outcomes in U.S. public hospitals. Journal of Healthcare Management, 68(2), 145–165. https://doi.org/10.1097/jhm-d-22-00107
Schoeman, Y., Oberholster, P. J., & Somerset, V. (2020). Value stream mapping as a supporting management tool to identify the flow of industrial waste: A case study. Sustainability, 13(1), 91–110. https://doi.org/10.3390/su13010091
Shahar, N. A., Nawawi, A., & Azlin Salin, A. S. (2020). Corporate governance disclosure of Malaysian IFIs. Journal of Islamic Accounting and Business Research, 11(5), 1103–1121. https://doi.org/10.1108/jiabr-05-2016-0057
Shahrun, N. S. B., Ramasamy, S., & Yen, Y. Y. (2023). The effect of environmental, social and governance criteria on the corporate value of listed companies in Malaysia. Asian Economic and Financial Review, 13(5), 4782–4800. https://doi.org/10.55493/5002.v13i5.4782
Singh, J. (2020). Applying lean methodology to curriculum revision and internship placement process – A case study. Journal of Research in Innovative Teaching & Learning, 13(2), 210–225. https://doi.org/10.1108/jrit-05-2019-0055
Sonali, S., Amanjot, S., Khurana, H. P., & Kaur, H. (2022). Forecasting the impact of lean tools and practices on the service quality in a tertiary care hospital. International Journal of Health Sciences, 6(3), 8325–8340. https://doi.org/10.53730/ijhs.v6ns3.8325 Global Business Management Review: Vol. 17 Number 1 June 2025
Staifi, N., & Belguidoum, M. (2021). Adapted smart home services based on smart contracts and service level agreements. Concurrency and Computation: Practice and Experience, 33(9), 6208–6225. https://doi.org/10.1002/cpe.6208
Subramaniam, G., Gooi, L. M., Chong, K. M., Loang, O. K., & Ahmad, Z. (2023). Social impact of sustainable development goals and corporate governance on Malaysian government-linked companies – The Malaysian perspective. IPN Journal of Research and Practice in Public Sector Accounting and Management, 13(1), 129–147. https://doi.org/10.58458/ipnj.v13.01.07.0091
Surya, A. K., Kumar, R., & Trehan, R. (2024). Application of lean manufacturing using Kaizen analysis: A case study. Journal of Graphic Era University, 15(2), 45–60. https://doi.org/10.13052/jgeu0975-1416.1218
Tee, C. M., Teoh, T.-T. M., & Hooy, C. (2022). Political connection types and corporate tax avoidance: Evidence from Malaysia. Malaysian Journal of Economic Studies, 59(2), 210–225. https://doi.org/10.22452/mjes.vol59no2.2
Thakur, V., Alcoreza, N., Táquez Delgado, M. A., Joddar, B., & Chattopadhyay, M. (2021). Cardioprotective effect of glycyrrhizin on myocardial remodeling in diabetic rats. Biomolecules, 11(4), 569–582. https://doi.org/10.3390/biom11040569
Thawornsujaritkul, T., & Boonnual, C. (2024). The impact of lean management on sustainable performance: The moderating role of employee performance in the steel industry. Journal of Ecohumanism, 3(8), 4891–4910. https://doi.org/10.62754/joe.v3i8.4891
Thoumy, M., Jobin, M., Baroud, J., & Nakhel Khalil, C. E. (2022). Impact of lean principles on operational performance in high uncertainty. International Journal of Productivity and Performance Management, 71(4), 145–165. https://doi.org/10.1108/ijppm-10-2021-0614
Tlapa, D., Zepeda-Lugo, C., Tortorella, G. L., Báez-López, Y., Limón-Romero, J., Alvarado‐Iniesta, A., & Rodríguez Borbón, M. I. (2020). Effects of lean healthcare on patient flow: A systematic review. Value in Health, 24(3), 210–230. https://doi.org/10.1016/j.jval.2019.11.002
Trakulsunti, Y., & Trakoonsanti, L. (2021). The use of lean tools to reduce inpatient waiting time in a Thai public hospital: An action research study. Leadership in Health Services, 34(4), 190–210. https://doi.org/10.1108/lhs-10-2020-0080
Valente, C. M., Sousa, P. S. A., & Moreira, M. R. A. (2019). Assessment of the lean effect on business performance: The case of manufacturing SMEs. Journal of Manufacturing Technology Management, 31(3), 501–523. https://doi.org/10.1108/jmtm-04-2019-0137
Zulkeflee, Z., Nawanir, G., Ghani, A. A., & Aripin, N. (2022). The importance of lean knowledge management for a successful lean management implementation in the Malaysian public sector. International Journal of Industrial Management, 16(1), 9005–9020. https://doi.org/10.15282/ijim.16.1.2022.9005 Global Business Management Review: Vol. 17 Number 1 June 2025 11.0 APPENDIX A Waste Identification NO. LOCATION PROCESS PROBLEM WASTE TYPE 1. Processing Print Approval Letter Long lead time to print approval W, I, E Team letter in Processing Team 2. Processing Perform File Movement Entry Delay in performing file movement W, I Team in the system to Payment entry in the system to Payment processing processing team team 3. Payment Distribute File to Preparer Long time taken to distribute W, I processing Critical files to Preparer team 4. Payment Data Entry in the system Long lead time for Preparer lever W, I, T processing team 5. Payment Verify Voucher High waiting time at Verifier level W, I, T processing team 6. Payment Approve Voucher Long lead time to approver level W, I, T processing team Notes: W Waiting time I Inventory E Extra processing T Transportation Global Business Management Review: Vol. 17 Number 1 June 2025 12.0 APPENDIX B Kaizen Burst Root Cause Analysis (a) KAIZEN BURST 1 – ROOT CAUSE ANALYSIS: LONG LEAD TIME TO PRINT APPROVAL LETTER IN PROCESSING TEAM NO ROOT CAUSE COUNTERMEASURES 1. Low handover frequency • Receive list of approved Critical files/cases only • Print approval letter for postage only (physical 2. High volume per batch & file is directly submitted to Payment processing bottleneck - result in high waiting team without physical approval letter) time 3. Highly dependent on one staff 4. No differentiation in the type of cases because the staff only focus on finishing the task without prioritizing cases (b) KAIZEN BURST 2 – ROOT CAUSE ANALYSIS: DELAY IN PERFORMING FILE MOVEMENT ENTRY IN THE SYSTEM TO PAYMENT PROCESSING TEAM NO ROOT CAUSE COUNTERMEASURES 1. Low handover frequency The preparer will send the physical Critical files to the payment processing team as soon as possible. 2. High volume per batch The senior preparer will prioritize the Critical files and promptly initiate the file movement in the system to the payment processing team. 3. No differentiation in type of cases The Critical files are tagged with red paper. (c) KAIZEN BURST 3 – ROOT CAUSE ANALYSIS: LONG TIME TAKEN TO DISTRIBUTE Critical files TO PREPARERS Global Business Management Review: Vol. 17 Number 1 June 2025 NO ROOT CAUSE COUNTERMEASURES 1. No differentiation to facilitate Implementation of "Red Tag" for Critical files (visual identification management) 2. Low handover frequency Implementation of Last In First Out (LIFO) with top priority level 3. High volume per batch Movement of Critical files on a "per file" basis 4. Lack of monitoring on status of l End-of-day queue checking as per the system MDP case l Weekly monitoring of performance for all sub-SLAs (d) KAIZEN BURST 4 – ROOT CAUSE ANALYSIS: LONG LEAD TIME FOR PREPARER LEVEL NO. ROOT CAUSE COUNTERMEASURES 1. No differentiation to facilitate Implementation of "Red Tag" for Critical files (visual identification management) 2. Low handover frequency Implementation of Last In First Out (LIFO) with top priority level 3. High volume per batch Movement of Critical files on a "per file" basis 4. Lack of monitoring on status of l End-of-day queue checking as per the system MDP case l Weekly monitoring of performance for all sub-SLAs (e) KAIZEN BURST 5 – ROOT CAUSE ANALYSIS: LONG LEAD TIME FOR VERIFIER LEVEL NO. ROOT CAUSE COUNTERMEASURES 1. No differentiation to facilitate Implementation of "Red Tag" for Critical files (visual identification management) Global Business Management Review: Vol. 17 Number 1 June 2025 2. Low handover frequency Implementation of Last In First Out (LIFO) with top priority level 3. High volume per batch Movement of Critical files on a "per file" basis 4. Lack of monitoring on status of l End-of-day queue checking as per the system MDP case l Weekly monitoring of performance for all sub-SLAs (f) KAIZEN BURST 6 – ROOT CAUSE ANALYSIS: LONG LEAD FOR APPROVAL OF MDP CASE NO. ROOT CAUSE COUNTERMEASURES 1. No differentiation to facilitate Implementation of "Red Tag" for Critical files (visual identification management) 2. Low handover frequency Implementation of Last In First Out (LIFO) with top priority level 3. High volume per batch Movement of Critical files on a "per file" basis 4. Lack of monitoring on status of l End-of-day queue checking as per the system MDP case l Weekly monitoring of performance for all sub-SLAs Global Business Management Review: Vol. 17 Number 1 June 2025 13.0 APPENDIX C Spaghetti Diagram – Kaizen Burst 4, 5 And 6 Global Business Management Review: Vol. 17 Number 1 June 2025 14.0 APPENDIX D Proposed kaizen solution No Process Problem Causes Proposed Kaizen Solution 1. Step reduction (from 6 1. Low handover to 4) frequency 2. Received list of 2. High volume per approved Critical batch files/cases 3. Delay in submission 3. Print approval letter for to payment processing postage purposes team Long lead time to PRINT APPROVAL print approval 1 4. Submit the physical file LETTER letter in 4. Inefficient working directly to the payment processing team method processing team without an approval letter 5. Lack of knowledge in utilizing technology 5. Stack and staple the letter 6. Submit the printed letter to staff handling postage 1. Senior clerk will PERFORM FILE 1. Low handover prioritize red-tagged Delay in MOVEMENT frequency Critical files first and will performing file ENTRY IN THE perform file movement in movement entry 2 SYSTEM TO the system to the payment in the system to PAYMENT 2. High volume per processing team as soon as payment PROCESSING processing team batch possible. TEAM Global Business Management Review: Vol. 17 Number 1 June 2025 3. No differentiation in 2. Clerk will send physical type of cases Critical files with red tags as soon as possible to the payment processing team. 1. Low handover frequency 2. High volume per batch 1. Critical files will be tagged in red color. 3. Critical files are homogeneous Long time taken 2. Red-tagged Critical files DISTRIBUTE FILE to distribute 3 will be given priority for TO PREPARER Critical files to 4. Lack of monitoring immediate processing. Preparers 5. No differentiation in 3. Distribution of red-type of cases tagged Critical files will be done on the same day they are received from the processing team. 6. Transport Critical files 1. High volume per 1. Red-tagged Critical files batch will be prioritized and Long lead time distributed to the DATA ENTRY IN 4 for preparer preparer. THE SYSTEM level 2. Last in, first out for file retrieval Global Business Management Review: Vol. 17 Number 1 June 2025 2. The preparer will process red-tagged Critical 3. Low handover files first. frequency at the preparer level 3. Payment processing team’s Admin Unit will 4. Bottleneck at walk through the certain processes preparer's table every hour to collect red-tagged Critical files and distribute 5. Lack of monitoring them to the verifier. 6. No differentiation in type of cases 7. Issues with SLA calculation 1. Low handover 1. Critical files will be frequency tagged with red color for identification. 2. High volume per batch 2. Red-tagged Critical files will be prioritized for processing. 3. Bottleneck at Long lead time 5 VERIFY VOUCHER certain processes for verifier level 3. Payment processing team’s administrator will 4. Critical files are monitor the movement of homogeneous Critical files, giving each process one hour to complete. 5. Lack of monitoring 4. End-of-day monitoring to ensure Critical files are Global Business Management Review: Vol. 17 Number 1 June 2025 6. No differentiation in verified and approved on type of cases the same day. 1. Low handover frequency 1. Critical files will be red-tagged for easy identification. 2. High volume per batch 2. Batch size will be reduced—Critical files will Long lead time 3. Lack of monitoring be distributed to the APPROVE 6 for approver Approver as soon as the VOUCHER level Reviewer completes their 4. No differentiation in review. type of cases for easy identification 3. Supervisor will perform end-of-day queue checking via the system to identify outstanding Critical files.
Published
Issue
Section
License
Copyright (c) 2025 Global Business Management Review (GBMR)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Disclaimer
Global Business Management Review (GBMR) has taken all reasonable measures to ensure that material contained in this website is the original work of the author(s). However, the Journal gives no warranty and accepts no responsibility for the accuracy or the completeness of the material; no reliance should be made by any user on the material. The user should check with the authors for confirmation.
Articles published in the Global Business Management Review (GBMR) do not represent the views held by the editors and members of the editorial board. Authors are responsible for all aspects of their articles except the editorial screen design.
Submission of an article is done with the understanding that the article has not been published before (except in the form of an abstract or as part of a published lecture, or thesis) that it is not under consideration for publication somewhere else; that if and when the article is accepted for publication, the author's consent to automatic transfer of the copyright to the publisher.
