Factor Influencing the Net Benefits Obtained from Pick to Light System Usage of Warehouse and Distribution Centers Employees : A Case Study of ABC Company Limited in Eastern Region, Thailand
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Abstract
The objective of this study is (1) to investigate the influences of system quality and safety on usage, (2) to analyze the influences of system quality, safety, and system usage toward user satisfaction, and (3) to analyze the influences of usage and satisfaction on net benefits of pick to light system usage of the employees at warehouse and distribution centers. The researcher employed empirical research. The samples were 380 employees of warehouse and distribution centers in the East Region. The data received were analyzed by descriptive statistics and multiple regression analysis. The findings were as follows: the factors of reliability, and safety affected the pick to light system usage. Moreover, the factors of response time, accuracy, safety, and system usage affected the user satisfaction. In addition, the factors of system usage and user satisfaction affected the net benefits. The results of this study can provide a useful reference to researchers, firms, and individuals working in related organizations.
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References
Akbar, D. I., Hariadi, B., & Ghofar, A. (2019). The Effect Between The Success of Implementation Monitoring Systems and Evaluation Development (SMEP) Through The Modification Approach For Delone & Mclean Models (Empirical Study in The Government of Malang Regency). International Journal of Business, Economic and Law, 19(5), 118-130.
Al-Fraihat, D., Joy, M., & Sincl air, J. (2020). Evaluating E-learning systems success : An empirical study. Computers in Human Behavior, 102(January 2020), 67-86. https://doi.org/10.1016/j.chb.2019.08.004
Alzahrani, A. I., Mahmud, I., Ramayah, T., Alfarraj, O., & Alalwan, N. (2019). Modelling digital library success using the DeLone and McLean information system success model. Journal of Librarianship and Information Science, 51(2), 291-306.
Anggreni, N., Ariyanto, D., Suprasto, H., & Dwirandra, A. (2020). Successful adoption of the village's financial system. Accounting, 6(6), 1129-1138.
Baroudi, J. J., Olson, M. H., & Ives, B. (1986). An empirical study of the impact of user involvement on system usage and information satisfaction. Communications of the ACM, 29(3), 232-238.
Bonn, M. A., Kim, W. G., Kang, S., & Cho, M. (2016). Purchasing Wine Online : The Effects of Social Influence, Perceived Usefulness, Perceived Ease of Use, and Wine Involvement. Journal of Hospitality Marketing & Management, 25(7), 841-869. doi:10.1080/19368623.2016.1115382
Boroufar, A., Sadeghy, S., & Shokohyar, S. (2020). Assessment of Success of Saman Insurance E-education System Using the Delone-Mclean Modified Model. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 6(3), 70-84.
Burton-Jones, A., & Straub, D. W. (2006). Reconceptualizing System Usage : An Approach and Empirical Test. Information systems research, 17(3), 228-246. doi:10.1287/isre.1060.0096
Cho, Y., Kim, M., & Choi, M. (2021). Factors associated with nurses' user resistance to change of electronic health record systems. BMC Medical Informatics and Decision Making, 21(1), 218. doi:10.1186/s12911-021-01581-z
Chotipun, N., & Sopa, S. (2020). Legal measures occupational safety, healthy Thailand environment of industry. Journal of Suvarnabhumi Institute of Technology (Humanities and Social Sciences), 6(1), 550-573.
Dalle, J., Hastuti, D., Mahmud, M., Prasetia, I., & Baharuddin, B. (2020). DeLone and McLean model evaluation of information system success : A case study of master program of civil engineering Universitas Lambung Mangkurat. International Journal of Advanced Science and Technology, 29(4), 1909-1919.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS quarterly, 13(3), 319-340. doi:10.2307/249008
Davis, F. D. (1993). User acceptance of information technology : system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology : a comparison of two theoretical models. Management science, 35(8), 982-1003.
DeLone, W. H., & McLean, E. R. (1992). Information systems success : The quest for the dependent variable. Information systems research, 3(1), 60-95.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success : A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30. doi:10.1080/07421222.2003.11045748
DeLone, W. H., & McLean, E. R. (2016). Information Systems Success Measurement. Foundations and Trends® in Information Systems, 2(1), 1-116. doi:10.1561/2900000005
Department of Health. (2021). Guidelines for the prevention of the spread of the Coronavirus Disease 2019 (COVID-19). Nonthaburi : Ministry of Public Health.
DeVellis, R. F. (2017). Scale development : Theory and applications. Thousand Oaks, CA : Sage.
Doll, W. J., & Torkzadeh, G. (1998). Developing a multidimensional measure of system-use in an organizational context. Information & Management, 33(4), 171-185. doi:https://doi.org/10.1016/S0378-7206(98)00028-7
Gelderman, M. (1998). The relation between user satisfaction, usage of information systems and performance. Information & Management, 34(1), 11-18. doi:https://doi.org/10.1016/S0378-7206(98)00044-5
Griffin, M. A., & Neal, A. (2000). Perceptions of Safety at Work: A Framework for Linking Safety Climate to Safety Performance, Knowledge, and Motivation. Journal of occupational health psychology, 5(3), 347-358. doi:10.1037/1076-8998.5.3.347
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis : Pearson New International Edition (7 ed.). Upper Saddle River, NJ : Prentice Hall.
Inaloo, E. A., & Beigi, F. M. (2018). Assessing the Different Dimensions of the Portal Quality of Provinces of Public Libraries Based on the Delone and McLean Intelligence Success Model. (August 24,2021) Retrieved from https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=5040&context=libphilprac
Jaafreh, A. B. (2017). Evaluation information system success: applied DeLone and McLean information system success model in context banking system in KSA. International Review of Management and Business Research, 6(2), 829-845.
Kim, N. K., Rahim, N. F. A., Iranmanesh, M., & Foroughi, B. (2019). The role of the safety climate in the successful implementation of safety management systems. Safety science, 118(2), 48-56. doi:https://doi.org/10.1016/j.ssci.2019.05.008
Kucukaltan, B., Saatcioglu, O. Y., Irani, Z., & Tuna, O. (2020). Gaining strategic insights into Logistics 4.0 : expectations and impacts. Production Planning & Control, 32(15),1-17.
Lee, E.-Y., & Jeon, Y. J. J. (2020). The Difference of user satisfaction and net benefit of a mobile learning management system according to self-directed learning : An investigation of cyber university students in hospitality. Sustainability, 12(7), 2672.
McKnight, D. H., Lankton, N. K., Nicolaou, A., & Price, J. (2017). Distinguishing the effects of B2B information quality, system quality, and service outcome quality on trust and distrust. The Journal of Strategic Information Systems, 26(2), 118-141. doi:https://doi.org/10.1016/j.jsis.2017.01.001
Mlimbila, J., & Mbamba, U. O. (2018). The role of information systems usage in enhancing port logistics performance : evidence from the Dar Es Salaam port, Tanzania. Journal of Shipping and Trade, 3(1), 10.
Nguyen, T., Nguyen, Q., & Vu, L. (2021). The effects of accounting benefit, ERP system quality and management commitment on accountants’ satisfaction. Accounting, 7(1), 127-136.
Nunnally, J. C. (1978). Psychometric Theory 2d Ed. New York : McGraw-Hill.
Ojo, A. I. (2017). Validation of the DeLone and McLean Information Systems Success Model. hir, 23(1), 60-66. doi:10.4258/hir.2017.23.1.60
Paksoy, T., Kochan, C. G., & Ali, S. S. (2020). Logistics 4.0 : Digital Transformation of Supply Chain Management. Boca Raton : CRC Press.
Petter, S., DeLone, W. H., & McLean, E. R. (2008). Measuring information systems success : models, dimensions, measures, and interrelationships. European journal of information systems, 17(3), 236-263.
Pusapukdeepob, J. (2015). ISO 1800 : Occupational Health and Safety Management System. The Journal of Burapha University, 4(1), 32-37.
Richards, G. (2018). Warehouse Management : A complete guide to improving efficiency and minimizing costs in the modern warehouse (3 ed.). London : Kogan Page Limited.
Robertsen, Ø., Siebler, F., Eisemann, M., Hegseth, M. N., Føreland, S., & Vangberg, H.-C. B. (2018). Predictors of Respiratory Protective Equipment Use in the Norwegian Smelter Industry : The Role of the Theory of Planned Behavior, Safety Climate, and Work Experience in Understanding Protective Behavior. (August 24, 2021) Retrieved from
https://www.frontiersin.org/articles/10.3389/fpsyg.2018.01366/full.
Singh, S., Kumar, R., Panchal, R., & Tiwari, M. K. (2021). Impact of COVID-19 on logistics systems and disruptions in food supply chain. International Journal of Production Research, 59(7), 1993-2008.
Straub, D., Limayem, M., & Karahanna-Evaristo, E. (1995). Measuring System Usage : Implications for IS Theory Testing. Management science, 41(8), 1328-1342. doi:10.1287/mnsc.41.8.1328
Sullivan, M., & Kern, J. (2021). The digital transformation of logistics : demystifying impacts of the fourth industrial revolution. Hoboken, New Jersey : John Wiley & Sons, Inc.
Torkzadeh, G., & Doll, W. J. (1999). The development of a tool for measuring the perceived impact of information technology on work. Omega, 27(3), 327-339.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology : Toward a Unified View. MIS quarterly, 27(3), 425-478.