A Model for Measuring the Service Supply Chain of Hospitals in Bangkok
DOI:
https://doi.org/10.53848/jlscc.v9i2.262332Keywords:
Service Supply Chain, Exploratory factor analysis, Confirmatory Factor AnalysisAbstract
The objective of this research was to develop a model for measuring the components of the service supply chain confirmation of hospitals in Bangkok. The sample group used for the study was 446 medical personnel with at least 1 year of working experience towards the service of hospitals in Bangkok by using a 5-level Likert scale questionnaire, exploratory factor analysis and confirmatory factor analysis. The results showed that the observational data were consistent with values χ2=266.483, df=155, p<0.001, χ2/df=1.719, RMSEA=0.040, CFI=0.970. , TLI=0.964, SRMR=0.044 meets the good conformity criteria. The service supply chain measurement model of Bangkok hospitals has 6 components: 1) Capacity and Resource Management 2) Order Process Management 3) Demand Management 4) Customer Relationship Management 5) Supplier Relationship Management and 6) Service Performance Management. The results of this study can be used as a guideline to improve service differentiation and meet customer needs to increase competitiveness in the healthcare business.
References
Bahadori, M., Hosseini, S. M., Teymourzadeh, E., Ravangard, R., Raadabadi, M., & Alimohammadzadeh, K. (2020). A supplier selection model for hospitals using a combination of artificial neural network and fuzzy VIKOR. International Journal of Healthcare Management, 13(4), 286-294. https://doi.org/10.1080/20479700.2017.1404730.
Baltacioglu, T., Ada, E., Kaplan, M. D., Yurt And, O., & Cem Kaplan, Y. (2007). A New Framework for Service Supply Chains. The Service Industries Journal, 27(2), 105-124. https://doi.org/10.1080/02642060601122629.
Browne, M. W., & Cudeck, R. (1992). Alternative Ways of Assessing Model Fit. Sociological Methods & Research, 21(2), 230-258. https://doi.org/10.1177/0049124192021002005.
Cheunkamon, E., Jomnonkwao, S., & Ratanavaraha, V. (2022). Measurement model of service quality of tourism supply chains in Thailand. Anatolia, 1-14. https://doi.org/10.1080/13032917.2021.2005646.
Cho, D. W., Lee, Y. H., Ahn, S. H., & Hwang, M. K. (2012). A framework for measuring the performance of service supply chain management. Computers & Industrial Engineering, 62(3), 801-818. https://doi.org/https://doi.org/10.1016/j.cie.2011.11.014.
Endeshaw, B. (2021). Healthcare service quality-measurement models: a review. Journal of Health Research, 35(2), 106-117. https://doi.org/10.1108/JHR-07-2019-0152.
Ertz, M., Karakas, F., & Sarigollu, E. (2016). Exploring pro-environmental behaviors of consumers: An analysis of contextual factors, attitude, and behaviors. Journal of Business Research, 60, 3971-3980. https://doi.org/10.1016/j.jbusres.2016.06.010.
Estampe, D., Lamouri, S., Paris, J.-L., & Brahim-Djelloul, S. (2013). A framework for analysing supply chain performance evaluation models. International Journal of Production Economics, 142(2), 247-258. https://doi.org/https://doi.org/10.1016/j.ijpe.2010.11.024.
Gomes, C. F., Yasin, M. M., & Lisboa, J. V. (2007). The effectiveness of hospitality service operations: measurement and implementation concerns. International Journal of Contemporary Hospitality Management, 19(7), 560-573. https://doi.org/10.1108/09596110710818301.
Hair, J. F., Black , W. C., Babin, B. J., & Anderson, R. (2014). Multivariate Data Analysis: Pearson New International Edition. Pearson. UK.
Harper, P. R., & Shahani, A. K. (2002). Modelling for the planning and management of bed capacities in hospitals. Journal of the Operational Research Society, 53(1), 11-18. https://doi.org/10.1057/palgrave.jors.2601278.
Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118.
Hult, G. T. M., Ketchen, D. J., & Arrfelt, M. (2007). Strategic supply chain management: Improving performance through a culture of competitiveness and knowledge development. Strategic Management Journal, 28(10), 1035-1052. https://doi.org/ https://doi.org/10.1002/smj.627.
Kelloway, E. K. (1998). Using LISREL for structural equation modeling: A researcher’s guide.Washington, DC: Sage Publications, Inc.
Krungsri Research Industry. (2022). Business/Industry Outlook 2020-22: Private Hospital Business. Retrived 1 Jun 2022, From: https://www.krungsri.com/th/research/industry/industry-outlook/Services/Private-Hospitals/IO/io-Private-Hospitals.
Lyberg, L., Biemer, P., Collins, M., De Leeuw, E., Dippo, C., Schwarz, N., & Trewin, D. (1997). Survey measurement and process quality. New York: Wiley.
Maull, R., Geraldi, J., & Johnston, R. (2012). Service Supply Chains: A Customer Perspective. Journal of Supply Chain Management, 48(4), 72-86. https://doi.org/10.1111/j.1745-493X.2012.03284.x.
Okpala, P. (2018). Assessment of the influence of technology on the cost of healthcare service and patient’s satisfaction. International Journal of Healthcare Management, 11(4), 351-355. https://doi.org/10.1080/20479700.2017.1337623.
Palang, D., & Tippayawong, K. Y. (2019). Performance evaluation of tourism supply chain management: the case of Thailand. Business Process Management Journal, 25(6),1193-1207. https://doi.org/10.1108/BPMJ-05-2017-0124.
Pekkaya, M., Pulat İmamoğlu, Ö., & Koca, H. (2019). Evaluation of healthcare service quality via Servqual scale: An application on a hospital. International Journal of Healthcare Management, 12(4), 340-347. https://doi.org/10.1080/20479700.2017.1389474.
Ravaghi, H., Alidoost, S., Mannion, R., & Bélorgeot, V. D. (2020). Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review. BMC Health Services Research, 20(1), 186. https://doi.org/10.1186/ s12913-020-5023-z.
Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893-898. https://doi.org/https://doi.org/10.1016/j.paid.2006.09.017.
Tan, C. N.-L., Ojo, A. O., Cheah, J.-H., & Ramayah, T. (2019). Measuring the Influence of Service Quality on Patient Satisfaction in Malaysia. Quality Management Journal, 26(3),129-143. https://doi.org/10.1080/10686967.2019.1615852.
Trivedi, R., & Jagani, K. (2018). Perceived service quality, repeat use of healthcare services and inpatient satisfaction in emerging economy. International Journal of Pharmaceutical and Healthcare Marketing, 12(3), 288-306. https://doi.org/10.1108/IJPHM-11-2017-0065.
Truffer, C. J., Keehan, S., Smith, S., Cylus, J., Sisko, A., Poisal, J. A., Lizonitz, J., & Clemens, M. K. (2010). Health Spending Projections Through 2019: The Recession’s Impact Continues.Health Affairs, 29(3), 522-529. https://doi.org/10.1377/hlthaff.2009.1074.
Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using Partial Least Squares. Journal of Information Technology Theory andApplication, 11.
Verma, P., Kumar, S., & Sharma, S. K. (2021). Evaluating the total quality and its role in measuring consumer satisfaction with e-healthcare services using the 5Qs model:a structure equation modeling approach. Benchmarking: An International Journal. https://doi.org/10.1108/BIJ-09-2020-0467.
Wang, B., Shao, C., Li, J., Weng, J., & Ji, X. (2015). Holiday travel behavior analysis and empirical study under integrated multimodal travel information service. Transport Policy, 39,21-36. https://doi.org/https://doi.org/10.1016/j.tranpol.2014.12.005.
Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. F. (1977). Assessing reliability andstability in panel models. Sociological methodology, 8, 84-136.
Worthington, R. L., & Whittaker, T. A. (2006). Scale Development Research:A Content Analysis and Recommendations for Best Practices. The Counseling Psychologist, 34(6), 806-838.https://doi.org/10.1177/0011000006288127.
Zhang, M., Wang, L., Wang, R., & Xiong, J. (2020). Measuring hospital process service quality: emerging technologies’ challenge. International Journal of Quality and Service Sciences, 12(3), 319-336. https://doi.org/10.1108/IJQSS-02-2020-0018.
