Importance and Performance Analysis of ICT Service Qualities Using Revised IPA Approach: A Case Study of Faculty of Engineering, Mahidol University During The COVID-19 Pandemic

Main Article Content

Maliwan Phuttara

Abstract

            During the Coronavirus disease (COVID-19) pandemic, most organizations need to adapt their ICT services to accommodate such abnormal situation. Therefore, understanding the importance and performance of ICT service quality from the perspective of users is very crucial for organizations to improve service quality in accordance with the needs of users. The purpose of this research is to analyze the importance and performance of the ICT service quality during COVID-19 pandemic based on the “SERVQUAL Model” framework. This study conducts survey research using purposive sampling from 133 employees (lecturer, support staff) of Faculty of Engineering, Mahidol university as a case study. Data gathered from questionnaires survey analyzed the importance and performance of ICT service quality using “Revised Importance-Performance Analysis” (Revised IPA) approach. The research results can be summarized as follows. Fifteen characteristics of ICT service quality are identified based on "SERVQUAL Model". The top three most important service quality from customers’ point of view are "quick service response", "service politeness”, and “service willingness”, respectively. Revised IPA technique is deployed to divide the service characteristics into four groups. The first group, “Keep up the good work”, consists of six service characteristics including (1) knowledge and skills to solve problems, (2) quick service response, (3) service willingness, (4) convenience in requesting service, (5) trust in service, and (6) service politeness. The second group, “Concentrate Here”, has only one service characteristic which is “availability and quality of basic hardware”. The third group, "Low Priority", includes four service characteristics as (1) availability and quality of basic software, (2) simplify service requests, (3) clear service request procedure, and (4) helpdesk system efficiency. Finally, the fourth group, “Possible Overkill” consists of four service characteristics including (1) service accuracy, (2) on-time service, (3) service flexibility, and (4) service attentiveness. The findings from this research can be used to improve the ICT service quality during COVID-19 pandemic of the case study organization.

Article Details

Section
Articles

References

Asiamah, N., Frimpong Opuni, F., Aggrey, M., & Adu-Gyamfi, K. (2021). ADAPTED SERVQUAL: A Health Service Quality Scale Incorporating Indicators of Sanitation and Hygiene. Quality Management in Health Care. 10.1097/QMH.0000000000000269.

Farooq, M. S., Salam, M., Fayolle, A., Jaafar, N., & Ayupp, K. (2018). Impact of service quality on customer satisfaction in Malaysia airlines: A PLS-SEM approach. Journal of Air Transport Management, 67, 169–180. https://doi.org/10.1016/J.JAIRTRAMAN.2017.12.008

Hsu, S.W., Qing, F., Wang, C.C., & Hsieh, H.L. (2018). Evaluation of service quality in Facebook-based group-buying. Electronic Commerce Research and Applications, 28, 30–36.

Kang, D., Jang, W., & Park, Y. (2016). Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on E-S-QUAL. Applied Soft Computing Journal, 42, 53–65. https://doi.org/10.1016/j.asoc.2016.01.017

Kano, N., Seraku, N., akahashi, F., & Tsuji, S. (1984). Attractive quality and must-be quality, transition from “Hinshitsu” quality. Journal of The Japanese Society for Quality Control, 14 (2).

Martilla, J.A., & James, J.C. (1977). Importance-performance analysis. Journal of Marketing Theory and Practice, 41 (1),77–79.

Mathong, P., Sureeyatanapas, P., Arunyanart, S., & Niyamosoth, T. (2020). The assessment of service quality for third-party logistics providers in the beverage industry. Cogent Engineering, 7 (1),1-17. 1785214. https://doi.org/10.1080/23311916.2020.1785214

Mejia, J., Mankad, S., & Gopal, A. (2021). Service quality using text mining: Measurement and consequences. Manufacturing & Service Operations Management, 23 (6), 1354–1372.

Mohammad, A., Kayvan, A., Javad, E., & Chris, D.G. (2022). Importance – Performance Analysis (IPA) of metro Service Attributes during the COVID-19 pandemic. Case Studies on Transport Policy, 10, 1661-1672, doi.org/10.1016/j.cstp.2022.06.005.

Parasuraman, A., Zeithaml, V.A., & Malhotra, A. (2005). E-S-Qual: A Multiple-Item scale for assessing electronic service quality. Journal of Service Research, 7 (3), 213–233.

Rotar, L., & Kozar, M. (2017). The use of the Kano model to enhance customer satisfaction. Organizacija 50 (4).

Sever, I. (2015). Importance-performance analysis: A valid management tool? Tourism Management, 48, 43–53.

Suh, Y., Woo, C., Koh, J., & Jeon, J.(2019). Analyzing the satisfaction of university–industry cooperation efforts based on the Kano Model: a Korean case. Technology Forecast and Social Change, 148, https://doi.org/10.1016/j.techfore.2019.119740.

Suria, H., Ahmad, F. M., & Siti, N. S. (2019). Bus service indicator: The different sight of performance index development. Journal of Physics: Conference Series, 1349(1). https://doi.org/10.1088/1742-6596/1349/1/012049

Yamane, T. (1973). Statistics: An Introductory Analysis. 3rd Edition, Harper and Row, New York.

Zhang, J., Lu, X., & Liu, D. (2021). Deriving customer preferences for hotels based on aspect-level sentiment analysis of online reviews. Electronic Commerce Research and Application, 49, https://doi.org/10.1016/j.elerap.2021.101094.