Effect of e-Service Quality on Customer Engagement Behaviors: Insight from the hotels in Malaysia

Authors

  • Nur Amira Mohd Ridzuan Faculty of Hotel and Tourism Management, Universiti Teknologi MARA, Puncak Alam, Malaysia
  • Rasidah Hamid Faculty of Hotel and Tourism Management, Universiti Teknologi MARA, Puncak Alam, Malaysia
  • Mohd Hanafi Azman Ong Department of Statistics and Decision Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Johor (Kampus, Segamat), 85000 Segamat, Johor, Malaysia
  • Ilma Indriasri Pratiwi Faculty of Social Science Education, Universitas Pendidikan Indonesia, 40154 West Java, Indonesia

DOI:

https://doi.org/10.21834/aje-bs.v7i23.410

Keywords:

website, e-Service Quality, Customer Engagement, Hotel Industry, Website

Abstract

The reopening process has begun Covid-19, especially in the hotel operation. Therefore, the hotel industry must understand the need to influence customers' choices through advanced of information technology (IT). This study is intended to explore the effect of t e-service quality on customer engagement behaviors in Malaysian hotels. This study was analyzed via PLS-SEM with 247 respondents. The findings indicate that system availability significantly influences customer engagement behaviors, followed by efficiency, system availability, privacy/security, and fulfillment. Based on what this study found, Malaysian hotel service providers will be able to improve the quality of their e-services to get customers more involved.

References

Abdullah, D., Jayaraman, K., & Kamal, S. B. M. (2016). model of interaction hotel website: The role of perceived website interactivity and customer perceived value toward website revisit intention. Procedia Economics and Finance, 37, 170-175. DOI: https://doi.org/10.1016/S2212-5671(16)30109-5

Ayob, M.F., Lan, Y.C., & Sheringham, C. (2021). Impact on e-commerce towards hotel management in Malaysia. Paper presented at International Academic Multidiciplines Research Conference, Lucerne, Switzerland.

Beatty, S.D., Morgan, R.M., & Vivek, S.D. (2012). Customer engagement: Exploring customer relationships beyond purchase. The Journal of Marketing Theory and Practice, 20(2), 122–146. DOI: https://doi.org/10.2753/MTP1069-6679200201

Chen, S. C., & Dhillon, G. S. (2003). Interpreting dimensions of consumer trust in E-commerce. Information Technology and Management, 4(2), 303–318. DOI: https://doi.org/10.1023/A:1022962631249

Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: Sage.

Fong, L.H.N., Lam, L.W., & Law, R. (2017). How locus of control shapes intention to reuse mobile apps for making hotel reservations: evidence from Chinese consumers. Tourism Management, 61, 331-342. DOI: https://doi.org/10.1016/j.tourman.2017.03.002

Gounaris S., Dimitriadis S., & Stathakopoulos, V. (2010). An examination of the effects of service quality and satisfaction on customers’ behavioral intentions in e-shopping. Journal of Service Marketing, 24(2/3), 142–156. DOI: https://doi.org/10.1108/08876041011031118

Hahn, S. E.,Sparks, B., Wilkins, H., & Jin, X. (2017). E-service Quality Management of a Hotel Website: A Scale and Implications for Management. Journal of Hospitality Marketing & Management, 7(1), 149-286. DOI: https://doi.org/10.1080/19368623.2017.1309612

Hair, J. F., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management and Data Systems, 117(3), 442–458. DOI: https://doi.org/10.1108/IMDS-04-2016-0130

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1): 115-135. DOI: https://doi.org/10.1007/s11747-014-0403-8

Hossain, M.Y. & Hossain, M. (2011). E-service quality and consumer loyalty: A study on consumer electronic retail industry. (Unpublished master’s thesis). Umeå School of Business, Umeå, Sweden.

Husain, S. (2017). The determinants of loyalty in online commerce - an exploratory study in India. Journal of Information Management System, 81, 1–17. DOI: https://doi.org/10.1002/j.1681-4835.2017.tb00599.x

Gursoy, D. & Chi, G.C. (2020). Effects of COVID-19 pandemic on hospitality industry: review of the current situations and a research agenda. Journal of Hospitality Marketing & Management, 29(5), 527-529 DOI: https://doi.org/10.1080/19368623.2020.1788231

Jiang, Y. & Wen, J. (2020). Effects of COVID-19 on hotel marketing and management: A perspective article. International Journal of Hospitality Management, 32(8), 2563-2573. DOI: https://doi.org/10.1108/IJCHM-03-2020-0237

Lacalle, E. (2021, April 2). How does an online hotel reservation system work? Industry. Retrieved June 13, 2022 from http://www.mews.com/en/blog/hotel-reservation-system

Li, L., Peng, M., Jiang, N., & Law, R. (2017). An empirical study on the influence of economy hotel website quality on online booking intentions. International Journal of Hospitality Management, 63, 1–10. DOI: https://doi.org/10.1016/j.ijhm.2017.01.001

Khoo, N. (2019). This is how hotels get their 5-star ratings in Malaysia. Retrieved July 9, 2019, from https://firstclasse.com.my/5-star-hotel-ratings-malaysia/

Krejcie, R.V., & Morgan, D.W., (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607-610. DOI: https://doi.org/10.1177/001316447003000308

Leedy, Paul, D. & Ormrod, J.E. (2013). Practical research: Planning and Design. (10thed.), Boston, MA: Pearson.

Mauguin, M. (2021). What Is Next For Hotel Online Bookings? A look at the state of hotel digital distribution post-Covid. Retrieved October 25, 2021, from https://www.hospitalitynet.org/opinion/4104231.html

Natnaporn & Aeknarajindawata (2019). The factors influencing tourists’ online hotel reservations in Thailand: an empirical study. International Journal of Innovation, Creativity and Change, 10(1), 121-140.

Parasuraman, A. (2000). Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Services Research, 2(4), 307-20. DOI: https://doi.org/10.1177/109467050024001

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), 213-33. DOI: https://doi.org/10.1177/1094670504271156

Rowley, J. (2006). An Analysis of the e-service literature: Towards a research agenda. Internet Research, 16 (3), 339-359. DOI: https://doi.org/10.1108/10662240610673736

Roy, S.K., Shekhar,V., & Lassar, W,M. (2018). Customer engagement behaviors: The role of service convenience, fairness, and quality. Journal of Retailing and Consumer Services, 44(12), 293-304. DOI: https://doi.org/10.1016/j.jretconser.2018.07.018

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.

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Published

2022-12-30

How to Cite

[1]
Mohd Ridzuan, N.A. et al. 2022. Effect of e-Service Quality on Customer Engagement Behaviors: Insight from the hotels in Malaysia. Asian Journal of Environment-Behaviour Studies. 7, 23 (Dec. 2022), 1–14. DOI:https://doi.org/10.21834/aje-bs.v7i23.410.

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