Impact Analysis of Webqual, Price And E-Wom on Return Stay Intention of Hotel Guests

Authors

  • Fendry Palijama Universitas Kristen Indonesia Maluku

DOI:

https://doi.org/10.64530/ijbams.v2i2.56

Keywords:

e-WOM, Price, Repurchase Intention, Website Quality

Abstract

For decades, information technology has played a crucial role in transforming and developing the hospitality and tourism industries. The emergence of e-commerce websites has created new, potentially powerful communication and distribution channels for hotels, narrowing the gap between hotels and consumers. While the internet and the hospitality industry are widely recognized, hotels need to understand the importance of website quality in shaping customer behavior. In the hospitality context, repurchase intention refers to a guest's intention to stay at the same hotel again in the future. Repurchase intention is crucial for hotels, and is shaped by website quality, price, and e-WOM.

The purpose of this study is to analyze the influence of WebQual, price, and e-WOM on repurchase intentions. This study is a survey, a quantitative study using structured or systematic questions to respondents. All answers are then recorded, processed, and analyzed. Respondents in this study were 200 guests of star-rated hotels who had stayed at at least one of the star-rated hotels in Batu City, Malang.

The results showed that WebQual, price, and e-WOM significantly influenced repurchase intention. WebQual was the most influential factor in repurchase intention. Practical recommendations include improving website quality, adopting competitive pricing policies, managing eWOM reviews and government support to support the hospitality industry in enhancing the tourist appeal of the area.

References

Aggarwal, A.G., & Aakash, A. (2018). Multi-Criteria-Based Prioritization Of B@C E-Commerce Websites. Int J Soc Syst Sci 10(3):201-222.Https://Doi.Org/10.1504/IJSSS.2018.093940

Armstrong., & Kotler. (2015), "Marketing An Introduction. Pretiece Hall Twelfth Edition", England: Pearson Education, Inc

Cheung, C. M., & Thadani, D. R. (2012). The Impact Of Electronic Word Of Mouth Communication; A Literature Analysis And Integrative Model, Decis Support Syst 54(1):461-470

Dellacoras, C., Zhang, X. M., & Awad, N. F. (2007). Exploring The Value Of Online Product Reviews In Forecasting Sales: The Case Of Motion Pictures.Journal Of Interactive Marketing21(4):23 - 45

Fan, Q., Lee, J. Y., & Kim, J. I. (2013). The Impact Of Website Quality On Flow-Related Online Shopping Behaviors In C2C E-Marketplaces (A Cross-National Study). Managing Service Quality. Vol. 23 No. 5. 364-387

Goyette. (2010). E-Wom: Word Of Mouth Measurement Scale For E-Service Context. Journal Of Administrative Sciences. Volume 27: 5-23

Henry., & Assael. (2005). Consumer Behavior And Marketing Third Edition, Boston, Massachusetts: Wadsworth Inc

Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert Scale: Explored And Explained. British Journal Of Applied Science & Technology, 7(4), 396–403.

Hellier, P. K., Geursen, G., Carr, R., & Rickard, J. A. (2003). Customer Repurchase Intention: A General Structural Equation Model. European Vjournal Of Marketing, Volume 9. Issue 4 P. 1762–1800. Doi:10.1108/03090560310495456.

Leyminna., & Faundra, B. (2017). Effectiveness Of Regional Development Planning In Batu City.Indonesia Onesearch.

Litvin, S. W., Goldsmith, R. E., & Pan B. (2008). Electronic Word Of Mouth In Hospita Lity And Tourism Management. Tourism Management. Vol.3. Issue 2, 458–468.

Liu, Y. (2006). Word-Of-Mouth For Movies: Its Dynamics And Impact On Box Office Revenue, Journal Of Marketing, 70(3), 74-89.

Lovelock, C., & Wright, LK (2007). Services Marketing Management, PT. Indeks, Indonesia

Lwin, M. O., & Williams, J. D. (2006). Promises, Promises: How Consumers Respond To Warranties In Internet Retailing. Journal Of Consumer Affairs, 40(2), 236–260.

Mowen, C., & Minor, M. (2002). Consumer Behavior. Jakarta: Erlangga.

Muhammad., & Iqbal. 2019. “The Influence Of Motivation, Behavior, And Understanding On Community Decisions In Choosing Sharia Banks In Aceh Tamiang.” Journal Of Islamic Investment 6(2):153–65.

Parasuraman, A., Zeithaml, V.A., & Malhotra. (2005). E-SQUAL: A Multiple-Item Scale For Assessing Electronic Service Quality. Journal Of Service Research. 7(3), Pp. 292-310

Reichheld, F.F. & Sasser, W.E., Jr. (1990). Zero Defections : Quality Comes To Services, Harvard Business Review, Vol 3(2), 105-111.

Schiffman, LG, & Kanuk, LL (2007) Consumer Behavior. 9th Edition, Prantice-Hall.

Seiders, K., Voss, GB, Grewal, D., Godfrey, AL, 2005. Do Satisfied Customers Buy More? Examining Moderating Influences In A Retailing Context. J Mark. 69(4), 26–43.

Sheth, J. N., & Parvatiyar, A. (1995). The Evolution Of Relationship Marketing. International Business Review, 4(3), 397-418.

Shrestha, S. (2016). Influencing Factors On Consumer Buying Behavior Of Smart Phones—A Research On The Buying Behavior Of Young Consumers In Kathmandu, Nepal. Art And Design Review. Vol. 8(3). 159-169

Wang, D., Wang, J., & Xiang, Z. (2021). Imbrications Of IT And Hospitality Organizations. Annals Of Tourism Research Empirical Insights. Vol 2, Issue 2. 1-11.

Zhu, F., & Zhang, X. (2010). Impact Of Online Consumer Reviews On Sales: The Moderating Role Of Product And Consumer Characteristics. Journal Of Marketing, 74, 133-148.

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Published

2026-08-15

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