top of page
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Economics and Business

Quarterly Reviews

ISSN 2775-9237 (Online)

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
crossref
doi
open access

Published: 09 October 2020

Intention to Implement 5S Management Among Students in Higher Education Institutions

Nashirah Abu Bakar, Kiyotaka Uzaki, Asmadi Mohamed Naim, Nor Aziah Abd Manaf

Universiti Utara Malaysia (Malaysia), Oita University (Japan)

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, management journal

Download Full-Text Pdf

doi

10.31014/aior.1992.03.04.281

Pages: 1290-1303

Keywords: Technology Acceptance Model, 5S Quality Management, Structural Equation Modelling, Confirmatory Factor Analysis

Abstract

The aim of this research paper is to analyze intention for implementing 5S management among students in higher education institutions. The quality management method using 5S approach is function to standardized process to properly implemented creates and maintains an organized, safe, clean and efficient workplace. In this study. The 5S method was implemented to create conducive and efficient place for student activities related to academic. This study implemented quantitative method using survey development with application Technology Acceptance Model, in analyzing student intention of implementing quality management for study workspace and living space. The sampling procedure using stratified random sampling method for students that have intention and experience in implementing quality management in their daily life. The number of respondents is 120 students that studying in higher education institutions. This study developed confirmatory factor analysis for measurement model. The absolute fit index, incremental fit index and parsimonious fit index is meet the requirement level to prove measurement model is robust, reliable and represented the actual data. The structural model in this study analyzed using maximum likelihood estimator. This study indicates all of the exogenous variable have significant and positive effect to the endogenous latent construct. The Perceived Usefulness (PU) has positive and significant direct effect on the Intention (I) to implement 5S quality management. The beta value is positive 0.507 with probability value is less than 0.001. Next, the Perceived Ease of Use (PE) has positive and significant direct effect on the Intention (I) to implement 5S quality management. The beta value is positive 0.433 with probability value is less than 0. 001. Then, the Religiosity (R) has positive and significant direct effect on the Intention (I) to implement 5S quality management. The beta value is positive 0.348 with probability value is less than 0.001. The finding of this study contributes to the body of knowledge in 5S quality management and it helps policy makers in university to develop conducive environment for students.

References

  1. Abdullah, N. and Abd-Majid, M.S. (2003). The Influence of Religiosity, Income and Consumption On Saving Behaviour: The Case of International Islamic University Malaysia. IQTISAD Journal of Islamic Economics, 4 (1), 37-55.

  2. Abu Bakar, N., Rosbi, S., Abu Bakar, A., Che Arshad, N., Abd Aziz, N. and Uzaki, K. (2019). Framework of 5S Quality Management for University Ecosystem to Achieve Green Campus. International Journal of Scientific Research and Management, 7(12), 1441-1448.

  3. Adams, D.A., Nelson, R.R. and Todd, P.A. (1992). Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly,16 (2), 227‐47.

  4. Amin, H., Abdul-Rahman, A.R., Ramayah, T., Supinah, R. and Mohd-Aris, M. (2014). Determinants of Online Waqf Acceptance: An Empirical Investigation. The Electronic Journal on Information Systems in Developing Countries, 60(8), 1-18.

  5. Ben Mansour, K. (2016). An analysis of business’ acceptance of internet banking: an integration of e-trust to the TAM.  Journal of Business & Industrial Marketing, 31(8), 982-994.

  6. Bukhari, S.F.H., Woodside, F.M., Hassan, R., Shaikh, A.L., Hussain, S. and Mazhar, W. (2019). Is religiosity an important consideration in Muslim consumer behavior: Exploratory study in the context of western imported food in Pakistan. Journal of Islamic Marketing, 10(4), 1288-1307.

  7. Chau, P.Y.K. (1996). An empirical assessment of a modified technology acceptance model. Journal of Management Information Systems, 13(2), 185‐204.

  8. Davis, Fred D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.

  9. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theoretical models, Management Science, 35(8), 982‐1003.

  10. Gamal Aboelmaged, M. (2010). Predicting e‐procurement adoption in a developing country: An empirical integration of technology acceptance model and theory of planned behaviour. Industrial Management & Data Systems, 110(3), 392-414.

  11. Gapp, R., Fisher, R. and Kobayashi, K. (2008). Implementing 5S within a Japanese context: an integrated management system. Management Decision, 46(4), 565-579.

  12. Gupta, S. and Chandna, P. (2020). A case study concerning the 5S lean technique in a scientific equipment manufacturing company. Grey Systems: Theory and Application, 10(3), 339-357.

  13. Hirano, H. (1995). 5 Pillars of the Visual Workplace: The Sourcebook for 5’S Implementation. Tokyo, Japan: Productivity Press.

  14. Hitomi, K. (2004). Efficiency analysis of Japan’s industry and manufacturing. Technovation, 24(9), 741-748.

  15. Ho, S. (1999). 5‐S practice: the first step towards total quality management. Total Quality Management, 10(3), 345‐56.

  16. Hubert, M., Blut, M., Brock, C., Zhang, R.W., Koch, V. and Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073-1098.

  17. Kuciapski, M. (2017). A model of mobile technologies acceptance for knowledge transfer by employees. Journal of Knowledge Management, 21(5), 1053-1076.

  18. Liker, J. (2004). The Toyota Way,  New York, NY: Simon & Schuster Inc.

  19. Liker, J. and Hoseus, M. (2008). The Toyota Culture: The Heart and Soul of the Toyota Way, New York, NY: McGraw‐Hill.

  20. Lindsay, R., Jackson, T.W. and Cooke, L. (2011). Adapted technology acceptance model for mobile policing.  Journal of Systems and Information Technology, 13(4), 389-407.

  21. Lu, J., Yu, C., Liu, C. and Yao, J.E. (2003). Technology acceptance model for wireless Internet Internet Research, 13(3), 206-222

  22. Marakarkandy, B., Yajnik, N. and Dasgupta, C. (2017). Enabling internet banking adoption: An empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2), 263-294.

  23. Mokhlis, S. (2009). Relevancy and Measurement of Religiosity in Consumer Behaviour Research, International Business Research, 2(3), 75-84.

  24. Randhawa, J.S. and Ahuja, I.S. (2017a). 5S – a quality improvement tool for sustainable performance: literature review and directions. International Journal of Quality & Reliability Management, 34(3), 334-361.

  25. Randhawa, J.S. and Ahuja, I.S. (2017b). Evaluating impact of 5S implementation on business performance. International Journal of Productivity and Performance Management, 66(7), 948-978.

  26. Rauniar, R., Rawski, G., Yang, J. and Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30.

  27. Sheikhshoaei, F. and Oloumi, T. (2011). Applying the technology acceptance model to Iranian engineering faculty libraries. The Electronic Library, 29(3), 367-378.

  28. Singh, N., Fassott, G., Chao, M.C.H. and Hoffmann, J.A. (2006). Understanding international web site usage: A cross‐national study of German, Brazilian, and Taiwanese online consumers. International Marketing Review, 23(1), 83-97.

  29. Slatten, L.A.D. (2012). Something old and something new: Using the technology acceptance model to evaluate nonprofit certification. International Journal of Organization Theory & Behavior, 15(3), 423-449.

  30. Soumya R. Purohit and V. Shantha (2015). Implementation of 5S Methodology in a Manufacturing Industry, International Journal of Scientific & Engineering Research, 6(8), 225- 231.

  31. Srinivasan, S., Ikuma, L.H., Shakouri, M., Nahmens, I. and Harvey, C. (2016). 5S impact on safety climate of manufacturing workers. Journal of Manufacturing Technology Management, 27(3), 364-378.

  32. Suárez‐Barraza, M.F. and Ramis‐Pujol, J. (2012). An exploratory study of 5S: a multiple case study of multinational organizations in Mexico. Asian Journal on Quality, 13(1), 77-99.

  33. Teo, T., Faruk Ursavaş, Ö. and Bahçekapili, E. (2011). Efficiency of the technology acceptance model to explain pre‐service teachers' intention to use technology: A Turkish study. Campus-Wide Information Systems, 28(2), 93-101.

bottom of page