Sustainable Tourism Policy and Digital Service Quality: Antecedents of Tourist Satisfaction and Revisit Intention in Pakistan

Authors

  • Mahnoor Iftikhar Xi'an University of Science and Technology, China
  • Dr. Rehmat Karim Associate Professor, Karakoram International University, Gilgit-Baltistan, Pakistan
  • Dr. Normah Abdul Latip Associate Professor, Faculty of Hospitality, Tourism and Wellness, Universiti Malaysia Kelantan Malaysia

DOI:

https://doi.org/10.63544/jbii.v5i9.213

Keywords:

Sustainable Tourism Policy, Digital Service Quality, Tourist Satisfaction, Revisit Intention, PLS-SEM, Pakistan

Abstract

This study focused on the relationships between sustainable tourism policy, quality of digital services, tourist satisfaction and revisit intention for the big tourist destinations in Pakistan. A cross-sectional research approach with descriptive design was used and data was collected from 185 domestic and international tourists who have visited Murree, Hunza, Skardu, Swat, Naran-Kaghan, and Islamabad by purposive sampling. The respondents were people who had first-hand experience on the services of tourism and digital platforms such as online booking systems, tourism websites, mobile applications, digital payment facilities, or online customer-support services. A semi-structured questionnaire consisting of previously validated items on a Likert scale was employed and the data collected were analysed by SPSS and SmartPLS using partial least squares, structural equation modelling (PLS-SEM). The measurement model showed satisfactory reliability and validity as all constructs achieved good levels of Cronbach's alpha, composite reliability and average variance extracted. The results of the structural model showed that sustainable tourism policy had a significant and positive influence on tourist satisfaction (β = 0.312, p < .001) and digital service quality had a significant and positive effect on tourist satisfaction (β = 0.398, p < .001), while sustainable tourism policy and digital service quality had a significant and positive effect on revisit intention (β = 0.457, p < .001). The results of the bootstrapping with 5,000 resampling confirmed that the relationship between both sustainable tourism policy and digital service quality with revisit intention was partially mediated by tourist satisfaction. Model's predictive relevance (Q² > 0) was acceptable for both tourist satisfaction (48.7%) and revisit intention (51.2%). The results highlight the combined significance of environmental responsibility in destination management and excellent digital service provision in creating tourist experience and fostering loyalty for Pakistan's tourist destinations. Theoretical and managerial implications of the findings for destination management organizations (DMOs) and policy makers are explored, as are limitations and research directions.

References

Al-Dweeri, R. M., Moreno, A. R., Montes, F. J. L., Obeidat, Z. M., & Al-dwairi, K. M. (2019). The effect of e-service quality on Jordanian students' e-loyalty: An empirical study in online retailing. Industrial Management & Data Systems, 119(4), 902–923. https://doi.org/10.1108/IMDS-12-2017-0583

Alnaim, A. F., Sobaih, A. E. E., & Elshaer, I. A. (2023). Measuring the mediating roles of e-trust and e-satisfaction in the relationship between e-service quality and e-loyalty: A structural modeling approach. African Journal of Hospitality, Tourism and Leisure, 12(2), 555–573. https://doi.org/10.46222/ajhtl.19770720.385

Chi, C. G. Q., & Qu, H. (2008). Examining the structural relationships of destination image, tourist satisfaction and destination loyalty: An integrated approach. Tourism Management, 29(4), 624–636. https://doi.org/10.1016/j.tourman.2007.06.007

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.

Choi, H. C., & Sirakaya, E. (2006). Sustainability indicators for managing community tourism. Tourism Management, 27(6), 1274–1289. https://doi.org/10.1016/j.tourman.2005.05.018

Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American Customer Satisfaction Index: Nature, purpose, and findings. Journal of Marketing, 60(4), 7–18. https://doi.org/10.1177/002224299606000403

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hamid, R., Ong, M. H. A., & Pratiwi, I. A. (2022). Exploring the influence of e-service quality toward customer engagement behavior via PLS-SEM: Findings from a hotel's customer perspective. Environment-Behaviour Proceedings Journal, 7(SI9), 45–51. https://doi.org/10.21834/e-bpj.v7iSI9.4115

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. https://doi.org/10.1007/s11747-014-0403-8

Hossain, M. S., Mostafa, M. G., & Hossain, M. A. (2021). Modeling tourists' satisfaction in the nature-based tourist destination using structural equation modeling technique. GeoJournal of Tourism and Geosites, 37(3), 814–822. https://doi.org/10.30892/gtg.37311-713

Karim, R., & Goh, G. G. (2025). To be digital is to be sustainable—Tourist perceptions and tourism development foster environmental sustainability. Sustainability, 17(3), Article 1053. https://doi.org/10.3390/su17031053

Majeed, S., Zhou, Z., Lu, C., & Ramkissoon, H. (2020). Online tourism information and tourist behavior: A structural equation modeling analysis based on a self-administered survey. Frontiers in Psychology, 11, Article 599. https://doi.org/10.3389/fpsyg.2020.00599

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.1177/002224378001700405

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. https://doi.org/10.1177/1094670504271156

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879

Saneha, J., Shahrin, S., & Salimon, M. G. (2024). The relationship between service quality and tourist satisfaction and its moderating effect on gastronomy tourism in Southern Thailand: A PLS-SEM-based analysis. International Journal of Sustainable Development and Planning, 19(9), 1–10. https://doi.org/10.18280/ijsdp.190903

Zhou, M., Liu, X., & Tang, G. (2018). Effect of urban tourist satisfaction on urban macroeconomics in China: A spatial panel econometric analysis with a spatial Durbin model. PLOS ONE, 13(10), Article e0206342. https://doi.org/10.1371/journal.pone.0206342

Author Biographies

Mahnoor Iftikhar, Xi'an University of Science and Technology, China

Dr. Rehmat Karim, Associate Professor, Karakoram International University, Gilgit-Baltistan, Pakistan

Dr. Normah Abdul Latip, Associate Professor, Faculty of Hospitality, Tourism and Wellness, Universiti Malaysia Kelantan Malaysia

Downloads

Published

2026-09-15

How to Cite

Iftikhar, M., Karim, D. R., & Latip, D. N. A. (2026). Sustainable Tourism Policy and Digital Service Quality: Antecedents of Tourist Satisfaction and Revisit Intention in Pakistan. Journal of Business Insight and Innovation, 5(9), 215–222. https://doi.org/10.63544/jbii.v5i9.213

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.