Determining the affecting factors of service quality to logistics operation by Structural Equation Modelling (SEM) under RCEP Implementation, a case study of Beibu Gulf
Vol 8, Issue 8, 2024
VIEWS - 205 (Abstract) 89 (PDF)
Abstract
The service quality of a logistics operation is a key research factor. According to Parasuraman in 1988, there are 5 dimensions about the service quality. In this paper will detective the affecting factors by collecting data from 1560 customers who experienced the service of Beibu Gulf Port Group, Guangxi, China. We used structural equation modeling (SEM) to test whether the service quality factors would affect the logistics operation or not from tangible, responsiveness, reliable and empathy to assurance. Moreover, with the Regional Comprehensive Economic Partnership (RCEP) has been signed, whether this free trade agreement’s effect would affect this Group’s service quality or not would be a consideration of this research. And the traditional service quality factors will affect the RCEP implementation or not will be tested, too. The results in the paper show the significance positive in co-relationship and supporting evidences for the Group’s future development.
Keywords
Full Text:
PDFReferences
Al-Momani, M. M. (2015). Gap Analysis between Perceptions and Expectations of Medical-Surgical Patients in a Public Hospital in Saudi Arabia. Medical Principles and Practice, 25(1), 79–84. Portico. https://doi.org/10.1159/000441000
Bollen, K. A. (1989). Structural Equations with Latent Variables. https://doi.org/10.1002/9781118619179
Browne, M.W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In: Bollen, K. A., Long, J. S. (editors). Testing structural equation models. Newbury Park, CA: Sage. pp. 136-162.
Choudhury, K. (2014). Service quality and word of mouth: a study of the banking sector. International Journal of Bank Marketing, 32(7), 612–627. https://doi.org/10.1108/ijbm-12-2012-0122
Gajewska, T., & Grigoroudis, E. (2015). Importance of logistics services attributes influencing customer satisfaction. In: The 4th IEEE International Conference on Advanced logistics and Transport; 20-22 May 2015; Valenciennes, France.
Ghimire, P., Bista, N., & Collao, M. R. (2022). Evaluation Of Patients’ Satisfaction Using the SERVQUAL Questionnaire Model. Journal of Chitwan Medical College, 12(4), 68–72. https://doi.org/10.54530/jcmc.650
Hsu, W. K. (2013). Improving the service operations of container terminals. The International Journal of Logistics Management, 24(1), 101–116. https://doi.org/10.1108/ijlm-05-2013-0057
Kilibarda, M., Nikolicic, S., & Andrejic, M. (2016). Measurement of logistics service quality in freight forwarding companies. The International Journal of Logistics Management, 27(3), 770–794. https://doi.org/10.1108/ijlm-04-2014-0063
Le, D. N., Nguyen, H. T., & Hoang Truong, P. (2020). Port logistics service quality and customer satisfaction: Empirical evidence from Vietnam. The Asian Journal of Shipping and Logistics, 36(2), 89–103. https://doi.org/10.1016/j.ajsl.2019.10.003
Li, M., Lowrie, D. B., Huang, C.-Y., et al. (2015). Evaluating patients’ perception of service quality at hospitals in nine Chinese cities by use of the ServQual scale. Asian Pacific Journal of Tropical Biomedicine, 5(6), 497–504. https://doi.org/10.1016/j.apjtb.2015.02.003
Lupo, T. (2013). A fuzzy ServQual based method for reliable measurements of education quality in Italian higher education area. Expert Systems with Applications, 40(17), 7096–7110. https://doi.org/10.1016/j.eswa.2013.06.045
Pakurár, M., Haddad, H., Nagy, J., et al. (2019). The Service Quality Dimensions that Affect Customer Satisfaction in the Jordanian Banking Sector. Sustainability, 11(4), 1113. https://doi.org/10.3390/su11041113
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41–50. https://doi.org/10.1177/002224298504900403
Rodríguez, R. M., Labella, Á., & Martínez, L. (2016). An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making. International Journal of Computational Intelligence Systems, 9(Supplement 1), 81. https://doi.org/10.1080/18756891.2016.1180821
Schreiber, J. B., Nora, A., Stage, F. K., et al. (2006). Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review. The Journal of Educational Research, 99(6), 323–338. https://doi.org/10.3200/joer.99.6.323-338
Schumacker, R. E., & Lomax, R. G. (2004). A Beginner’s Guide to Structural Equation Modeling. Psychology Press. https://doi.org/10.4324/9781410610904
Silva, J. T. M., Teixeira, L. A. A., Cruz, K. de C. T. S., et al. (2014). Logistics service quality measurement of a beverage distributor company in the state of Minas Gerais - Brazil. International Journal of Logistics Systems and Management, 19(3), 372. https://doi.org/10.1504/ijlsm.2014.065497
Teas, R. K. (1994). Expectations as a Comparison Standard in Measuring Service Quality: An Assessment of a Reassessment. Journal of Marketing, 58(1), 132–139. https://doi.org/10.1177/002224299405800111
The Statistics of Beibu Gulf Cities Export Amount from January to June of year 2021. (2021). Available online: http://bbwb.gxzf.gov.cn/sjfb/jjqlsjckze/t9684475.shtml (accessed on 15 January 2024).
Zameer, H., Tara, A., Kausar, U., et al. (2015). Impact of service quality, corporate image and customer satisfaction towards customers’ perceived value in the banking sector in Pakistan. International Journal of Bank Marketing, 33(4), 442–456. https://doi.org/10.1108/ijbm-01-2014-0015
DOI: https://doi.org/10.24294/jipd.v8i8.5346
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Ximeng Jiang, Boonsub Panichakarn, Ponnapa Musikapun
License URL: https://creativecommons.org/licenses/by/4.0/
This site is licensed under a Creative Commons Attribution 4.0 International License.