Evaluating the Impact of Integrated Digital Marketing on Homestay Success in India : A Study of Uttarakhand

Authors

DOI:

https://doi.org/10.17010/ijom/2025/v55/i11/175821

Keywords:

homestay, digital marketing, homestay success, social media, smart-PLS.
Publication Chronology: Paper Submission Date : September 25, 2024 ; Paper sent back for Revision : May 8, 2025 ; Paper Acceptance Date : June 20, 2025 ; Paper Published Online : November 15, 2025

Abstract

Purpose : With the growing prevalence of digital literacy, most businesses are increasingly utilizing digital marketing. Moreover, homestays have become an integral part of the community-based tourism industry. This study aimed to investigate the impact of various digital marketing tools on the success of homestays in Uttarakhand, India, and to test a theoretical model for predicting the success of homestays.

Methodology : The study proposed an integrated research model of “Homestay Success” in which “email,” “travel booking website,” “social media,” and “electronic word of mouth” were identified as independent latent variables. A total of 309 responses were collected from various homestay owners in Dehradun, Haridwar, Nainital, Tehri-Garhwal, and Uttarkashi districts of Uttarakhand, using a structured questionnaire, and analyzed using Smart-PLS.

Findings : We found that all four independent variables significantly influenced the success of the “Homestay.” In addition to validating the theoretical model, the study contributed to the existing literature on community-based tourism (CBT).

Practical Implications : The study recommended that stakeholders in CBT, including government agencies, local communities, policymakers, and homestay hosts, should compare their current business models with the model proposed in this study to identify areas for improvement and adopt more effective strategies for necessary enhancements. According to the Importance Performance Map Analysis (IPMA), “electronic word of mouth” was crucial for the success of the homestays ; it had been underperforming and needed managerial attention to improve. Homestay owners should focus on enhancing “electronic word of mouth” by participating in workshops and implementing strategies to boost its effectiveness.

Originality : Unlike previous studies on the factors influencing Homestay Success (HS), the present research developed a model to explore the role of integrated digital marketing in enhancing HS.

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Published

2025-11-15

How to Cite

Dutta, D., & Amir, M. (2025). Evaluating the Impact of Integrated Digital Marketing on Homestay Success in India : A Study of Uttarakhand. Indian Journal of Marketing, 55(11), 49–68. https://doi.org/10.17010/ijom/2025/v55/i11/175821

References

1) Ali, M. B., Tuhin, R., Alim, M. A., Rokonuzzaman, M., Rahman, S. M., & Nuruzzaman, M. (2024). Acceptance and use of ICT in tourism: The modified UTAUT model. Journal of Tourism Futures, 10(2), 334–349. https://doi.org/10.1108/JTF-06-2021-0137

2) Alnoor, A., Tiberius, V., Atiyah, A. G., Khaw, K. W., Yin, T. S., Chew, X., & Abbas, S. (2024). How do positive and negative electronic word of mouth (eWOM) affect customers' intention to use social commerce? A dual-stage multi-group-SEM and ANN analysis. International Journal of Human-Computer Interaction, 40(3), 808–837. https://doi.org/10.1080/10447318.2022.2125610

3) Amir, M., & Dhyani, A. (2018). Sustainable green marketing practices enhance competitive advantage in Indian FMCG sector. International Journal of Management, Technology and Engineering, 8(11), 2003–2015. https://www.researchgate.net/publication/361386990

4) Amir, M., & Dhyani, A. (2019a). Measuring the influence of green-marketing practices on firms' competitive advantage: A study of selected food and beverage companies. NICE Journal of Business, 13(1), 41–56. https://www.researchgate.net/publication/361387053

5) Amir, M., & Dhyani, A. (2019b). Measuring consumers' perception and determinants of green purchase. International Journal of Advanced Science and Technology, 28(7), 250–269. https://www.researchgate.net/publication/361387039

6) Anuj, Upadhyay, R. K., Kargeti, H., & Sharma, A. (2023). Adoption of digital marketing in the tourism industry of Uttarakhand in India. International Journal of Business Excellence, 29(1), 80–97. https://doi.org/10.1504/IJBEX.2023.128260

7) Araújo, C. R., Pires, P. B., Delgado, C., & Santos, J. D. (2023). Persuasive determinants in the hotel industry's newsletter opening rates. Sustainability, 15(4), 3358. https://doi.org/10.3390/su15043358

8) Balasundaram, A., Sreedharan, N. V., Babu, D. D., & Gopinath, P. P. (2024). Social media use and impact on voters and candidates in Kerala. Journal of Creative Communications. https://doi.org/10.1177/09732586231223841

9) Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588

10) Budac, C. (2016). Theoretical approaches to successful email marketing campaigns. Ovidius University Annals: Economic Sciences Series, 16(2), 306–311. https://stec.univ-ovidius.ro/html/anale/ENG/

11) Cantallops, A. S., & Salvi, F. (2014). New consumer behavior: A review of research on eWOM and hotels. International Journal of Hospitality Management, 36, 41–51. https://doi.org/10.1016/j.ijhm.2013.08.007

12) Cheuk, S., Atang, A., Lo, M.-C., & Ramayah, T. (2017). Community perceptions on the usage of digital marketing for homestays: The case of Ba'kelalan, Malaysia. International Journal of Business and Society, 18(S4), 775–782. https://www.ijbs.unimas.my/images/repository/pdf/Vol18-s4-paper15.pdf

13) Chu, S.-C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47–75. https://doi.org/10.2501/IJA-30-1-047-075

14) Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge. https://doi.org/10.4324/9780203771587

15) David, A., Sudhahar, J. C., & Linijah, M. P. (2019). An empirical investigation on digital strategies adopted by homestays in Ernakulam District, Kerala. International Journal of Mechanical Engineering and Technology, 10(2), 890–898. https://iaeme.com/Home/article_id/IJMET_10_02_093

16) Dawayan, C. R., & Annuar, S. N. (2021). Empowering the homestay operators to use social media marketing to solve over-tourism issues. In A. Hassan & A. Sharma (eds.) Overtourism, technology solutions and decimated destinations (pp. 259–274). Springer. https://doi.org/10.1007/978-981-16-2474-2_17

17) Di Pietro, L., Di Virgilio, F., & Pantano, E. (2012). Social network for the choice of tourist destination: Attitude and behavioural intention. Journal of Hospitality and Tourism Technology, 3(1), 60–76. https://doi.org/10.1108/17579881211206543

18) Dijkstra, T. K., & Henseler, J. (2015). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics & Data Analysis, 81, 10–23. https://doi.org/10.1016/j.csda.2014.07.008

19) Fili, M., & Križaj, D. (2016). Electronic word of mouth and its credibility in tourism: The case of TripAdvisor. Academica Turistica–Tourism and Innovation Journal, 9(2). https://academica.turistica.si/index.php/AT-TIJ/article/view/64

20) Gan, S. W., Inversini, A., & Rega, I. (2018). Tourism, development, and digital technologies: Insights from Malaysian homestays. In B. Stangl & J. Pesonen (eds.), Information and communication technologies in tourism 2018 (pp. 52–63). Springer. https://doi.org/10.1007/978-3-319-72923-7_5

21) Garbani-Nerini, E., Marchiori, E., Reale, R., & Cantoni, L. (2022). Understanding preferences in tourism email marketing. In J. L. Stienmetz, B. Ferrer-Rosell & D. Massimo (eds.), Information and communication technologies in tourism 2022 (pp. 382–394). Springer. https://doi.org/10.1007/978-3-030-94751-4_34

22) Gawade, M. S. (2019). Fostering innovation, integration, and inclusion through interdisciplinary practices in management. International Journal of Trend in Scientific Research and Development (IJTSRD), 91–94. https://doi.org/10.31142/ijtsrd23072

23) Gupta, A., & Savita, U. (2024). Do eWOM and brand image drive purchase intention of online travel shoppers: A case study of Delhi-NCR. Indian Journal of Marketing, 54(3), 44–60. https://doi.org/10.17010/ijom/2024/v54/i3/173567

24) Gupta, V. P. (2024). Leveraging digital transformation in the marketing of homestay businesses to promote tourism in the hospitality industry. In Technology and luxury hospitality (1st ed.). Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9781003488248-8/

25) Hair, J. F., Hult, G. T., Ringle, C. M., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications, Inc. https://www.amazon.in/Partial-Squares-Structural-Equation-Modeling/dp/148337744X

26) 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

27) Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis (7th ed.). Pearson. https://www.amazon.in/Multivariate-Data-Analysis-Joseph-Hair/dp/0138132631

28) Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119–132. https://doi.org/10.1016/j.ijin.2022.08.005

29) 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, 115–135. https://doi.org/10.1007/s11747-014-0403-8

30) Hu, L.-T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424

31) Hvass, K. A., & Munar, A. M. (2012). The takeoff of social media in tourism. Journal of Vacation Marketing, 18(2), 93–103. https://doi.org/10.1177/1356766711435978

32) Jhantasana, C. (2023). Should a rule of thumb be used to calculate the PLS-SEM sample size? Asia Social Issues, 16(5), Article ID e254658. https://www.researchgate.net/profile/Chanta-Jhantasana/publication/370155544

33) Kapri, S. S., & Sharma, A. (2024). Digital marketing impact on rural homestay booking and role of destination image. Anatolia, 35(4), 764–776. https://doi.org/10.1080/13032917.2024.2319075

34) Kim, W. G., Lim, H., & Brymer, R. A. (2015). The effectiveness of managing social media on hotel performance. International Journal of Hospitality Management, 44, 165–171. https://doi.org/10.1016/j.ijhm.2014.10.014

35) Ladhari, R. (2007). The effect of consumption emotions on satisfaction and word‐of‐mouth communications. Psychology & Marketing, 24(12), 1085–1108. https://doi.org/10.1002/mar.20195

36) Leung, X. Y., Bai, B., & Stahura, K. A. (2013). The marketing effectiveness of social media in the hotel industry: A comparison of Facebook and Twitter. Journal of Hospitality & Tourism Research, 39(2), 147–169. https://doi.org/10.1177/1096348012471381

37) Lim, W. M., Ahmed, P. K., & Ali, M. Y. (2022). Giving an electronic word of mouth (eWOM) as a pre-purchase behavior: The case of online group buying. Journal of Business Research, 146, 582–604. https://doi.org/10.1016/j.jbusres.2022.03.093

38) Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458–468. https://doi.org/10.1016/j.tourman.2007.05.011

39) Liu, L., Lee, M. K., Liu, R., & Chen, J. (2018). Trust transfer in social media brand communities: The role of consumer engagement. International Journal of Information Management, 41, 1–13. https://doi.org/10.1016/j.ijinfomgt.2018.02.006

40) Lu, F., Hu, M., Zhou, W., & Wang, K. Y. (2022). Based on “Computer Internet +” rural homestay tourism product marketing. Wireless Communications and Mobile Computing. https://doi.org/10.1155/2022/2809541

41) Mahadevan, K., & Joshi, S. (2021). Trends in electronic word of mouth research: A bibliometric review and analysis. Indian Journal of Marketing, 51(4), 8–26. https://doi.org/10.17010/ijom/2021/v51/i4/158468

42) Mahmoud, A. B., Grigoriou, N., Fuxman, L., Hack-Polay, D., Mahmoud, F. B., Yafi, E., & Tehseen, S. (2019). Email is evil!: Behavioural responses towards permission-based direct email marketing and gender difference. Journal of Research in Interactive Marketing, 13(2), 227–248. https://doi.org/10.1108/JRIM-09-2018-0112

43) Mamgain, R. P., & Reddy, D. N. (2017). Out-migration from the hill region of Uttarakhand: Magnitude, challenges, and policy options. In D. N. Reddy & K. Sarap (eds.), Rural labour mobility in times of structural transformation: Dynamics and perspectives from Asian economies (pp. 209–235). Palgrave Macmillan. https://doi.org/10.1007/978-981-10-5628-4_10

44) Manes, E., & Tchetchik, A. (2018). The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking. Journal of Business Research, 85, 185–196. https://doi.org/10.1016/j.jbusres.2017.12.019

45) Martínez-Román, J. A., Tamayo, J. A., Gamero, J., & Romero, J. E. (2015). Innovativeness and business performance in tourism SMEs. Annals of Tourism Research, 54, 118–135. https://doi.org/10.1016/j.annals.2015.07.004

46) Mishra, A., & Ojha, N. K. (2015). Need of marketing of India as a tourist destination: Evaluation of India's performance in tourism. Prabandhan: Indian Journal of Management, 7(8), 45–54. https://doi.org/10.17010/pijom/2014/v7i8/59360

47) Mishra, R., Sharma, M. P., Seth, K., & Singh, V. (2023). A study on consumers' travel purchase intention through travel apps. Prabandhan: Indian Journal of Management, 16(7), 25–42. https://doi.org/10.17010/pijom/2023/v16i7/172926

48) Pasanchay, K., & Schott, C. (2021). Community-based tourism homestays' capacity to advance the sustainable development goals: A holistic, sustainable livelihood perspective. Tourism Management Perspectives, 37, Article ID 100784. https://doi.org/10.1016/j.tmp.2020.100784

49) Patwal, A. S., Rana, V., & Chopra, G. (2024). Tourists' motivation to satisfaction with homestays in Uttarakhand, India: A SEM approach. Indian Journal of Marketing, 54(10), 45–62. https://doi.org/10.17010/ijom/2024/v54/i10/174604

50) Rai, S. S., Ansari, I. A., Ganguly, K., Giri, S., & Rai, S. (2021). Lean practices in homestay operations: A case study. Journal of Quality Assurance in Hospitality & Tourism, 22(4), 395–424. https://doi.org/10.1080/1528008X.2020.1802388

51) Ramayah, T., Yeap, J. A., Ahmad, N. H., Halim, H. A., & Rahman, S. A. (2017). Testing a confirmatory model of Facebook usage in SmartPLS using consistent PLS. International Journal of Business and Innovation, 3(2), 1–14.

52) Rawat, A., Joshi, S., & Rai, S. K. (2024). Evaluating the issue of sustainable tourism with a system dynamic approach: Evidence from Uttarakhand, India. Environment, Development and Sustainability, 26, 1–28. https://doi.org/10.1007/s10668-023-03711-1

53) Reyes-Menendez, A., Correia, M. B., Matos, N., & Adap, C. (2020). Understanding online consumer behavior and eWOM strategies for sustainable business management in the tourism industry. Sustainability, 12(21), 8972. https://doi.org/10.3390/su12218972

54) Rianthong, N., Dumrongsiri, A., & Kohda, Y. (2016). Improving the multidimensional sequencing of hotel rooms on an online travel agency website. Electronic Commerce Research and Applications, 17, 74–86. https://doi.org/10.1016/j.elerap.2016.03.002

55) Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865–1886. https://doi.org/10.1108/IMDS-10-2015-0449

56) Roscoe, J. T. (1975). Fundamental research statistics for the behavioural science (2nd ed.). Thomson Learning. https://www.amazon.in/Fundamental-Research-Statistics-Behavioural-Sciences/dp/0030919347

57) Sabbagh, F. (2018). Email marketing: The most important advantages and disadvantages. Global Journal of Management and Business Research: E Marketing, 18(6), 39–49.

58) Samsudin, P. Y., & Maliki, N. Z. (2015). Preserving cultural landscape in the homestay programme towards sustainable tourism: Brief critical review of the concept. Procedia - Social and Behavioral Sciences, 170, 433–441. https://doi.org/10.1016/j.sbspro.2015.01.004

59) Sánchez-Franco, M. J., & Rey-Tienda, S. (2024). The role of user-generated content in tourism decision-making: An exemplary study of Andalusia, Spain. Management Decision, 62(7), 2292–2328. https://doi.org/10.1108/MD-06-2023-0966

60) Sarstedt, M., Ringle, C. M., & Hair, J. F. (2022). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (eds.), Handbook of market research (pp. 587–632). Springer. https://doi.org/10.1007/978-3-319-57413-4_15

61) Sharma, A. K., & Sharma, R. (2022). Identification of the customers' preferred attributes while selecting an OTA (online travel agency) platform. Indian Journal of Marketing, 52(7), 43–55. https://doi.org/10.17010/ijom/2022/v52/i7/170538

62) Shekhar, Singh, P., & Shekhar, S. (2023). Sustainable tourism research in India : A review Study. Prabandhan: Indian Journal of Management, 16(4), 8–27. https://doi.org/10.17010/pijom/2023/v16i4/170747

63) Sia, P., Saidin, S. S., & Iskandar, Y. H. (2023). A systematic review of mobile travel apps and their smart features and challenges. Journal of Hospitality and Tourism Insights, 6(5), 2115–2138. https://doi.org/10.1108/JHTI-02-2022-0087

64) Siakalli, M., Masouras, A., & Papademetriou, C. (2017). E-marketing in the hotel industry: Marketing mix strategies. In A. Kavoura, D. P. Sakas & P. Tomaras (eds.), Strategic innovative marketing: 5th IC-SIM 2016 (pp. 123–129). Springer. https://doi.org/10.1007/978-3-319-33865-1_15

65) Singh, R., Sajnani, M., & Gupta, P. (2020). Impact assessment of digital marketing tools application in rural homestays: A case study of Kullu District. In 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (pp. 929–933). IEEE. https://doi.org/10.1109/ICRITO48877.2020.9198031

66) Son, H., Ahn, J., Chung, A. D., & Drumwright, M. E. (2023). From the black box to the glass box: Using unsupervised and supervised learning processes to predict user engagement for the airline companies. International Journal of Information Management Data Insights, 3(2), Article ID 100181. https://doi.org/10.1016/j.jjimei.2023.100181

67) Sood, J. (2016). Homestays in Himachal State, India: A SWOT analysis. Journal of Tourism, 17(2), 69–81.

68) Streimikiene, D., Svagzdiene, B., Jasinskas, E., & Simanavicius, A. (2021). Sustainable tourism development and competitiveness: The systematic literature review. Sustainable Development, 29, 259–271. https://doi.org/10.1002/sd.2133

69) Sullivan, G. M., & Feinn, R. (2012). Using effect size—or why the p value is not enough. Journal of Graduate Medical Education, 4(3), 279–282. https://doi.org/10.4300/JGME-D-12-00156.1

70) Sutresna, I. B., Suyana, U. I., Saskara, I. A., & Wiwin, S. N. (2019). Community-based tourism as a sustainable tourism support. Russian Journal of Agricultural and Socio-Economic Sciences, 94(10), 70–78. https://doi.org/10.18551/rjoas.2019-10.09

71) Tajvidi, R., & Karami, A. (2021). The effect of social media on firm performance. Computers in Human Behavior, 115, Article ID 105174. https://doi.org/10.1016/j.chb.2017.09.026

72) Teeluckdharry, N. B., Teeroovengadum, V., & Seebaluck, A. K. (2024). A roadmap for the application of PLS-SEM and IPMA for effective service quality improvements. The TQM Journal, 36(5), 1300–1345. https://doi.org/10.1108/TQM-11-2021-0340

73) Verhun, A., Buntova, N., Boretska, N., Borysova, O., & Shevchuk, S. (2022). Digital tools for the development of the hospitality and tourism industry in the context of a digitized economy. Economic Affairs, 67(4s), 869–876. https://doi.org/10.46852/0424-2513.4s.2022.20

74) Verma, S., & Yadav, N. (2021). Past, present, and future of electronic word of mouth (eWOM). Journal of Interactive Marketing, 53(1), 111–128. https://doi.org/10.1016/j.intmar.2020.07.001

75) Wise, N. (2016). Outlining triple bottom line contexts in urban tourism regeneration. Cities, 53, 30–34. https://doi.org/10.1016/j.cities.2016.01.003

76) Yang, K., Min, J. H., & Garza-Baker, K. (2018). Post-stay email marketing implications for the hotel industry: Role of email features, attitude, revisit intention, and leisure involvement level. Journal of Vacation Marketing, 25(4), 405–417. https://doi.org/10.1177/1356766718814081

77) Yasami, M., Bin Awang, K. W., & Teoh, K. (2017). Homestay tourism: From the distant past up to the present. PEOPLE: International Journal of Social Sciences, 3(2), 1251–1268. https://doi.org/10.20319/pijss.2017.32.12511268

78) Ye, B. H., Fu, H., & Law, R. (2016). Use of impact-range performance and asymmetry analyses to improve OTA website quality. Journal of Hospitality and Tourism Management, 26, 9–17. https://doi.org/10.1016/j.jhtm.2015.09.001

79) Yen, C.-L., & Tang, C.-H. (2019). The effects of hotel attribute performance on electronic word-of-mouth (eWOM) behaviors. International Journal of Hospitality Management, 76(Part A), 9–18. https://doi.org/10.1016/j.ijhm.2018.03.006

80) Yu, W., Ramanathan, R., & Nath, P. (2014). The impacts of marketing and operations capabilities on financial performance in the UK retail sector: A resource-based perspective. Industrial Marketing Management, 43(1), 25–31. https://doi.org/10.1016/j.indmarman.2013.07.014

81) Zainal, N. T., Harun, A., & Lily, J. (2017). Examining the mediating effect of attitude towards electronic word-of-mouth (eWOM) on the relation between the trust in eWOM source and intention to follow eWOM among Malaysian travellers. Asia Pacific Management Review, 22(1), 35–44. https://doi.org/10.1016/j.apmrv.2016.10.004