Factors Affecting SMEs' Intention to Adopt a Mobile Travel Application based on the Unified Theory of Acceptance and Use of Technology (UTAUT-2)

Kritcha Yawised, Darlin Apasrawirote, Maneerut Chatrangsan, Paisarn Muneesawang


This study is part of a government research project which aims to synthesise the current evidence on the factors affecting the intention of mobile application adoption called ‘Tripper Notifier Application’ (TNA) for the hospitality and tourism industrial sector in Thailand. The focus is on small and medium enterprises (SMEs), which emphasize restaurants, hotels, and attraction sites. The present article examines various factors influencing the intention to use such applications by employing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) as the theoretical underpinning of this research paradigm. Using 84 selected research papers in Scopus published between 2020 and 2022, A thematic analysis incorporating a grounded theory approach to systematically generate themes was conducted, and the findings found three main themes, including business transformation capabilities (BTC), digital transformation capabilities (DTC), and personal innovativeness (PI), as an extension of UTAUT-2 as mediator and moderator variables. To this end, the study fills the research gaps and extends the UTAUT-2 framework by including an initiative of twelve inside attributes-based lines, including performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit behavior, behavioral intention, and use behavior, together with three moderators: age, gender, and experience. Finally, the context dimensions of the UTAUT-2 extensions were mapped to highlight all the constructs of the TNA adoption framework for future research directions. The novel contribution of this study is to fill the gap with both theoretical and practical knowledge. On the theoretical level, this study constitutes constructs based on UTAUT-2 theory as a research-based setting to fill a gap in research. On the practical level, it provides insights and information about new capabilities that SME owners, managers, and practitioners should consider in order to differentiate their own capabilities.


Doi: 10.28991/esj-2021-SP1-014

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Travel Mobile Application; COVID-19; Business Transformation Capabilities; Digital Transformation Capabilities; DTC; BTC; Service Sector; UTAUT-2; SMEs.


MacSween, S., & Canziani, B. (2021). Travel booking intentions and information searching during COVID-19. International Hospitality Review, 35(2), 208–224. doi:10.1108/ihr-08-2020-0046.

Yang, H., Song, H., Cheung, C., & Guan, J. (2021). How to enhance hotel guests’ acceptance and experience of smart hotel technology: An examination of visiting intentions. International Journal of Hospitality Management, 97(97), 103000. doi:10.1016/j.ijhm.2021.103000.

Ciftci, O., Choi, E. K. (Cindy), & Berezina, K. (2021). Let’s face it: Are customers ready for facial recognition technology at quick-service restaurants? International Journal of Hospitality Management, 95(95), 102941. doi:10.1016/j.ijhm.2021.102941.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. doi:10.2307/41410412.

Park, S., Xu, Y., Jiang, L., Chen, Z., & Huang, S. (2020). Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data. Annals of Tourism Research, 84(84), 102973. doi:10.1016/j.annals.2020.102973.

Scuttari, A. (2021). Tourism experiences in motion. Mobile, visual and psychophysiological methods to capture tourists “on the move.” Tourism Management Perspectives, 38(38), 100825. doi:10.1016/j.tmp.2021.100825.

Kemp, S. (2021). Digital 2021 Global Digital Overview, Datareportal. Available online: https://datareportal.com/reports/digital-2021-thailand (accessed on December 2020).

Canhoto, A. I., Quinton, S., Pera, R., Molinillo, S., & Simkin, L. (2021). Digital strategy aligning in SMEs: A dynamic capabilities perspective. Journal of Strategic Information Systems, 30(3), 101682. doi:10.1016/j.jsis.2021.101682.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. doi:10.2307/30036540.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. doi:10.2307/249008.

Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In J. Kuhl & J. Beckmann (Eds.), Action Control (pp. 11–39). Springer. doi:10.1007/978-3-642-69746-3_2.

Kalinić, Z., Marinković, V., Kalinić, L., & Liébana-Cabanillas, F. (2021). Neural network modeling of consumer satisfaction in mobile commerce: An empirical analysis. Expert Systems with Applications, 175(175), 114803. doi:10.1016/j.eswa.2021.114803.

Khanra, S., Dhir, A., Kaur, P., & Joseph, R. P. (2021). Factors influencing the adoption postponement of mobile payment services in the hospitality sector during a pandemic. Journal of Hospitality and Tourism Management, 46(46), 26–39. doi:10.1016/j.jhtm.2020.11.004.

Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2021). A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture. Journal of Business Research, 132(132), 354–372. doi:10.1016/j.jbusres.2021.04.052.

Arfi, W. Ben, Nasr, I. Ben, Kondrateva, G., & Hikkerova, L. (2021). The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context. Technological Forecasting and Social Change, 167(167), 120688. doi:10.1016/j.techfore.2021.120688.

Al Aufa, B., Renindra, I. S., Putri, J. S., & Nurmansyah, M. I. (2020). An application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model for understanding patient perceptions on using hospital mobile application. Enfermeria Clinica, 30(30), 110–113. doi:10.1016/j.enfcli.2020.06.025.

Zhao, Y., & Bacao, F. (2020). What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? International Journal of Hospitality Management, 91(91), 102683. doi:10.1016/j.ijhm.2020.102683.

Sun, S., Lee, P. C., Law, R., & Zhong, L. (2020). The impact of cultural values on the acceptance of hotel technology adoption from the perspective of hotel employees. Journal of Hospitality and Tourism Management, 44(44), 61–69. doi:10.1016/j.jhtm.2020.04.012.

Loureiro, S. M. C., Guerreiro, J., & Ali, F. (2020). 20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach. Tourism Management, 77(77), 104028. doi:10.1016/j.tourman.2019.104028.

Xie, G., Qian, Y., & Wang, S. (2021). Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach. Tourism Management, 82(82), 104208. doi:10.1016/j.tourman.2020.104208.

Tussyadiah, I. P., Wang, D., Jung, T. H., & tom Dieck, M. C. (2018). Virtual reality, presence, and attitude change: Empirical evidence from tourism. Tourism Management, 66(66), 140–154. doi:10.1016/j.tourman.2017.12.003.

Cabrera-Sánchez, J. P., Villarejo-Ramos, Á. F., Liébana-Cabanillas, F., & Shaikh, A. A. (2021). Identifying relevant segments of AI applications adopters – Expanding the UTAUT2’s variables. Telematics and Informatics, 58(58), 101529. doi:10.1016/j.tele.2020.101529.

Barnes, S. J., & Kirshner, S. N. (2021). Understanding the impact of host facial characteristics on Airbnb pricing: Integrating facial image analytics into tourism research. Tourism Management, 83(83), 104235. doi:10.1016/j.tourman.2020.104235.

Kontogianni, A., Alepis, E., & Patsakis, C. (2022). Promoting smart tourism personalised services via a combination of deep learning techniques. Expert Systems with Applications, 187(187), 115964. doi:10.1016/j.eswa.2021.115964.

Bi, J. W., Li, H., & Fan, Z. P. (2021). Tourism demand forecasting with time series imaging: A deep learning model. Annals of Tourism Research, 90(90), 103255. doi:10.1016/j.annals.2021.103255.

Pappas, N., Caputo, A., Pellegrini, M. M., Marzi, G., & Michopoulou, E. (2021). The complexity of decision-making processes and IoT adoption in accommodation SMEs. Journal of Business Research, 131(131), 573–583. doi:10.1016/j.jbusres.2021.01.010.

Leroux, E., & Pupion, P. C. (2022). Smart territories and IoT adoption by local authorities: A question of trust, efficiency, and relationship with the citizen-user-taxpayer. Technological Forecasting and Social Change, 174(174), 121195. doi:10.1016/j.techfore.2021.121195.

Leite, E. (2022). Innovation networks for social impact: An empirical study on multi-actor collaboration in projects for smart cities. Journal of Business Research, 139(139), 325–337. doi:10.1016/j.jbusres.2021.09.072.

Dwivedi, S. K., Amin, R., Vollala, S., & Chaudhry, R. (2020). Blockchain-based secured event-information sharing protocol in internet of vehicles for smart cities. Computers and Electrical Engineering, 86(86), 106719. doi:10.1016/j.compeleceng.2020.106719.

Aghaei, H., Naderibeni, N., & Karimi, A. (2021). Designing a tourism business model on block chain platform. Tourism Management Perspectives, 39(39), 100845. doi:10.1016/j.tmp.2021.100845.

Rashideh, W. (2020). Blockchain technology framework: Current and future perspectives for the tourism industry. Tourism Management, 80(80), 104125. doi:10.1016/j.tourman.2020.104125.

Zhu, W., & Shang, F. (2021). Rural smart tourism under the background of internet plus. Ecological Informatics, 65(65), 101424. doi:10.1016/j.ecoinf.2021.101424.

Langley, D. J., van Doorn, J., Ng, I. C. L., Stieglitz, S., Lazovik, A., & Boonstra, A. (2021). The Internet of Everything: Smart things and their impact on business models. Journal of Business Research, 122(122), 853–863. doi:10.1016/j.jbusres.2019.12.035.

De Vries, H. E. R. B., & Shields, M. I. C. H. E. L. L. E. (2006). Towards a theory of entrepreneurial resilience: A case study analysis of New Zealand SME owner operators. New Zealand Journal of Applied Business Research, 5(1), 33-43.

Župerkienė, E., Šimanskienė, L., Labanauskaitė, D., Melnikova, J., & Davidavičienė, V. (2021). The COVID-19 Pandemic and Resilience of SME’s in Lithuania. Entrepreneurship and Sustainability Issues, 8(3), 53–65. doi:10.9770/jesi.2021.8.3(4).

Bandura, A. (1997). The anatomy of stages of change. In American journal of health promotion : AJHP (Vol. 12, Issue 1, pp. 8–10). W.H. Freeman. doi:10.4278/0890-1171-12.1.8.

Saad, M. H., Hagelaar, G., van der Velde, G., & Omta, S. W. F. (2021). Conceptualization of SMEs’ business resilience: A systematic literature review. Cogent Business and Management, 8(1), 1938347. doi:10.1080/23311975.2021.1938347.

Southwick, F. S., Martini, B. L., Charney, D. S., & Southwick, S. M. (2017). Leadership and Resilience. In J. Marques & S. Dhiman (Eds.), Leadership Today: Practices for Personal and Professional Performance (pp. 315–333). Springer International Publishing. doi:10.1007/978-3-319-31036-7_18.

Franken, J. R. V., Pennings, J. M. E., & Garcia, P. (2014). Measuring the effect of risk attitude on marketing behavior. Agricultural Economics (United Kingdom), 45(5), 525–535. doi:10.1111/agec.12104.

Corbin, J. M., & Strauss, A. (1990). Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology, 13(1), 3–21. doi:10.1007/BF00988593.

Boyatzis, R. E. (1998). Transforming Qualitative Information: Thematic Analysis and Code Development. Prefix Transforming Qualitative Information: Thematic Analysis and Code Development. CA: Sage: Thousand Oaks.

Stylos, N., Fotiadis, A. K., Shin, D. (Don), & Huan, T. C. T. (2021). Beyond smart systems adoption: Enabling diffusion and assimilation of smartness in hospitality. International Journal of Hospitality Management, 98(98), 103042. doi:10.1016/j.ijhm.2021.103042.

Dirsehan, T., & Cankat, E. (2021). Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period. Journal of Retailing and Consumer Services, 62(62), 102608. doi:10.1016/j.jretconser.2021.102608.

Min, J., Kim, J., & Yang, K. (2021). How generations differ in coping with a pandemic: The case of restaurant industry. Journal of Hospitality and Tourism Management, 48(48), 280–288. doi:10.1016/j.jhtm.2021.06.017.

Han, S. H., Lee, J., Edvardsson, B., & Verma, R. (2021). Mobile technology adoption among hotels: Managerial issues and opportunities. Tourism Management Perspectives, 38(38), 100811. doi:10.1016/j.tmp.2021.100811.

Sharma, A., Sharma, S., & Chaudhary, M. (2020). Are small travel agencies ready for digital marketing? Views of travel agency managers. Tourism Management, 79(79), 104078. doi:10.1016/j.tourman.2020.104078.

Cranmer, E. E., tom Dieck, M. C., & Fountoulaki, P. (2020). Exploring the value of augmented reality for tourism. Tourism Management Perspectives, 35(35), 100672. doi:10.1016/j.tmp.2020.100672.

Ma, L., & Sun, B. (2020). Machine learning and AI in marketing – Connecting computing power to human insights. International Journal of Research in Marketing, 37(3), 481–504. doi:10.1016/j.ijresmar.2020.04.005.

Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70(70), 308–317. doi:10.1016/j.jbusres.2016.08.004.

Krishen, A. S., Dwivedi, Y. K., Bindu, N., & Kumar, K. S. (2021). A broad overview of interactive digital marketing: A bibliometric network analysis. Journal of Business Research, 131(131), 183–195. doi:10.1016/j.jbusres.2021.03.061.

Di Vaio, A., Hassan, R., & Alavoine, C. (2022). Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness. Technological Forecasting and Social Change, 174(174), 121201. doi:10.1016/j.techfore.2021.121201.

Eze, S. C., Chinedu-Eze, V. C. A., Okike, C. K., & Bello, A. O. (2020). Critical factors influencing the adoption of digital marketing devices by service-oriented micro-businesses in Nigeria: A thematic analysis approach. Humanities and Social Sciences Communications, 7(1), 1–14. doi:10.1057/s41599-020-00580-1.

Mulier, L., Slabbinck, H., & Vermeir, I. (2021). This Way Up: The Effectiveness of Mobile Vertical Video Marketing. Journal of Interactive Marketing, 55(55), 1–15. doi:10.1016/j.intmar.2020.12.002.

Rodríguez, I., Williams, A. M., & Hall, C. M. (2014). Tourism innovation policy: Implementation and outcomes. Annals of Tourism Research, 49(49), 76–93. doi:10.1016/j.annals.2014.08.004.

Moyle, C. lee, Moyle, B., & Burgers, H. (2020). Entrepreneurial strategies and tourism industry growth. Tourism Management Perspectives, 35(35), 100708. doi:10.1016/j.tmp.2020.100708.

Student, J., Kramer, M. R., & Steinmann, P. (2020). Simulating emerging coastal tourism vulnerabilities: an agent-based modelling approach. Annals of Tourism Research, 85(85), 103034. doi:10.1016/j.annals.2020.103034.

García-Villaverde, P. M., Ruiz-Ortega, M. J., Hurtado-Palomino, A., De La Gala-Velásquez, B., & Zirena-Bejarano, P. P. (2021). Social capital and innovativeness in firms in cultural tourism destinations: Divergent contingent factors. Journal of Destination Marketing and Management, 19(19), 100529. doi:10.1016/j.jdmm.2020.100529.

Hussain, Z. (2021). Paradigm of technological convergence and digital transformation: The challenges of CH sectors in the global COVID-19 pandemic and commencing resilience-based structure for the post-COVID-19 era. Digital Applications in Archaeology and Cultural Heritage, 21(21), 182. doi:10.1016/j.daach.2021.e00182.

Puriwat, W., & Tripopsakul, S. (2021). Exploring factors influencing open innovation adoption in smes: The evidence from emerging markets. Emerging Science Journal, 5(4), 533–544. doi:10.28991/esj-2021-01295.

Sharma, G. D., Thomas, A., & Paul, J. (2021). Reviving tourism industry post-COVID-19: A resilience-based framework. Tourism Management Perspectives, 37(37), 100786. doi:10.1016/j.tmp.2020.100786.

Suno Wu, J., Barbrook-Johnson, P., & Font, X. (2021). Participatory complexity in tourism policy: Understanding sustainability programmes with participatory systems mapping. Annals of Tourism Research, 90(90), 103269. doi:10.1016/j.annals.2021.103269.

Elvekrok, I., Veflen, N., Scholderer, J., & Sørensen, B. T. (2022). Effects of network relations on destination development and business results. Tourism Management, 88(88), 104402. doi:10.1016/j.tourman.2021.104402.

Perelygina, M., Kucukusta, D., & Law, R. (2022). Digital business model configurations in the travel industry. Tourism Management, 88(88), 104408. doi:10.1016/j.tourman.2021.104408.

Tse, S., & Tung, V. W. S. (2022). Understanding residents’ attitudes towards tourists: Connecting stereotypes, emotions and behaviours. Tourism Management, 89(89), 104435. doi:10.1016/j.tourman.2021.104435.

Mandić, A., & Kennell, J. (2021). Smart governance for heritage tourism destinations: Contextual factors and destination management organization perspectives. Tourism Management Perspectives, 39(39), 100862. doi:10.1016/j.tmp.2021.100862.

Fuentes-Moraleda, L., Díaz-Pérez, P., Orea-Giner, A., Muñoz- Mazón, A., & Villacé-Molinero, T. (2020). Interaction between hotel service robots and humans: A hotel-specific Service Robot Acceptance Model (sRAM). Tourism Management Perspectives, 36(36), 100751. doi:10.1016/j.tmp.2020.100751.

Tavitiyaman, P., Qu, H., Tsang, W. sze L., & Lam, C. wah R. (2021). The influence of smart tourism applications on perceived destination image and behavioral intention: The moderating role of information search behavior. Journal of Hospitality and Tourism Management, 46(46), 476–487. doi:10.1016/j.jhtm.2021.02.003.

Reif, J., & Schmücker, D. (2020). Exploring new ways of visitor tracking using big data sources: Opportunities and limits of passive mobile data for tourism. Journal of Destination Marketing and Management, 18(18), 100481. doi:10.1016/j.jdmm.2020.100481.

Burggräf, P., Dannapfel, M., Adlon, T., & Kasalo, M. (2020). Adaptivity and adaptability as design parameters of cognitive worker assistance for enabling agile assembly systems. Procedia CIRP, 97(97), 224–229. doi:10.1016/j.procir.2020.05.229.

Aheleroff, S., Mostashiri, N., Xu, X., & Zhong, R. Y. (2021). Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study. Advanced Engineering Informatics, 50(50), 101438. doi:10.1016/j.aei.2021.101438.

Yawised, K., Ellis, L., & Wong, M. C. (2018). the Role and Nature of Scrm in Australian Private Sector: an Exploratory Study. Asia Pacific Journal of Contemporary Education and Communication Technology, 4(1), 139–150. doi:10.25275/apjcectv4i1edu16.

Ruiz-Palomino, P., Yáñez-Araque, B., Jiménez-Estévez, P., & Gutiérrez-Broncano, S. (2022). Can servant leadership prevent hotel employee depression during the COVID-19 pandemic? A mediating and multigroup analysis. Technological Forecasting and Social Change, 174(174), 121192. doi:10.1016/j.techfore.2021.121192.

Li, B., Zhong, Y. Y., Zhang, T., & Hua, N. (2021). Transcending the COVID-19 crisis: Business resilience and innovation of the restaurant industry in China. Journal of Hospitality and Tourism Management, 49(49), 44–53. doi:10.1016/j.jhtm.2021.08.024.

Wulf, J., & Blohm, I. (2020). Fostering Value Creation with Digital Platforms: A Unified Theory of the Application Programming Interface Design. Journal of Management Information Systems, 37(1), 251–281. doi:10.1080/07421222.2019.1705514.

Wang, W. Y. C., & Wang, Y. (2020). Analytics in the era of big data: The digital transformations and value creation in industrial marketing. Industrial Marketing Management, 86(86), 12–15. doi:10.1016/j.indmarman.2020.01.005.

Schneckenberg, D., Benitez, J., Klos, C., Velamuri, V. K., & Spieth, P. (2021). Value creation and appropriation of software vendors: A digital innovation model for cloud computing. Information and Management, 58(4), 103463. doi:10.1016/j.im.2021.103463.

Palos-Sanchez, P., Saura, J. R., Velicia-Martin, F., & Cepeda-Carrion, G. (2021). A business model adoption based on tourism innovation: Applying a gratification theory to mobile applications. European Research on Management and Business Economics, 27(2), 100149. doi:10.1016/j.iedeen.2021.100149.

Arabadzhyan, A., Figini, P., & Zirulia, L. (2021). Hotels, prices and risk premium in exceptional times: The case of Milan hotels during the first COVID-19 outbreak. Annals of Tourism Research Empirical Insights, 2(2), 100023. doi:10.1016/j.annale.2021.100023.

Xie, K., Heo, C. Y., & Mao, Z. E. (2021). Do professional hosts matter? Evidence from multi-listing and full-time hosts in Airbnb. Journal of Hospitality and Tourism Management, 47(47), 413–421. doi:10.1016/j.jhtm.2021.04.016.

Leung, X. Y., & Cai, R. (2021). How pandemic severity moderates digital food ordering risks during COVID-19: An application of prospect theory and risk perception framework. Journal of Hospitality and Tourism Management, 47(47), 497–505. doi:10.1016/j.jhtm.2021.05.002.

Lee, Y., Lee, S., & Kim, D. Y. (2021). Exploring hotel guests’ perceptions of using robot assistants. Tourism Management Perspectives, 37(37), 100781. doi:10.1016/j.tmp.2020.100781.

Do, H. N., Shih, W., & Ha, Q. A. (2020). Effects of mobile augmented reality apps on impulse buying behavior: An investigation in the tourism field. Heliyon, 6(8), 4667. doi:10.1016/j.heliyon.2020.e04667.

Hietschold, N., Reinhardt, R., & Gurtner, S. (2020). Who put the “NO” in Innovation? Innovation resistance leaders’ behaviors and self-identities. Technological Forecasting and Social Change, 158(158), 120177. doi:10.1016/j.techfore.2020.120177.

Lombardi, S., Pina e Cunha, M., & Giustiniano, L. (2021). Improvising resilience: The unfolding of resilient leadership in COVID-19 times. International Journal of Hospitality Management, 95(95), 102904. doi:10.1016/j.ijhm.2021.102904.

Tapanainen, T., Dao, T. K., & Nguyen, T. T. H. (2021). Impacts of online word-of-mouth and personalities on intention to choose a destination. Computers in Human Behavior, 116(116), 106656. doi:10.1016/j.chb.2020.106656.

Kim, M. J., Lee, C. K., & Preis, M. W. (2020). The impact of innovation and gratification on authentic experience, subjective well-being, and behavioral intention in tourism virtual reality: The moderating role of technology readiness. Telematics and Informatics, 49(49), 101349. doi:10.1016/j.tele.2020.101349.

Liu, X., Wang, D., & Gretzel, U. (2022). On-site decision-making in smartphone-mediated contexts. Tourism Management, 88(88), 104424. doi:10.1016/j.tourman.2021.104424.

Kim, E. J., & Pomirleanu, N. (2021). Effective redesign strategies for tourism management in a crisis context: A theory-in-use approach. Tourism Management, 87(87), 104359. doi:10.1016/j.tourman.2021.104359.

Im, J., Kim, J., & Choeh, J. Y. (2021). COVID-19, social distancing, and risk-averse actions of hospitality and tourism consumers: A case of South Korea. Journal of Destination Marketing and Management, 20(20), 100566. doi:10.1016/j.jdmm.2021.100566.

Richards, G. (2020). Designing creative places: The role of creative tourism. Annals of Tourism Research, 85(85), 102922. doi:10.1016/j.annals.2020.102922.

Sarantou, M., Kugapi, O., & Huhmarniemi, M. (2021). Context mapping for creative tourism. Annals of Tourism Research, 86(86), 103064. doi:10.1016/j.annals.2020.103064.

Goh, H. C. (2021). Strategies for post-Covid-19 prospects of Sabah’s tourist market – Reactions to shocks caused by pandemic or reflection for sustainable tourism? Research in Globalization, 3(3), 100056. doi:10.1016/j.resglo.2021.100056.

Kim, M. J., & Hall, C. M. (2020). What drives visitor economy crowdfunding? The effect of digital storytelling on unified theory of acceptance and use of technology. Tourism Management Perspectives, 34(34), 100638. doi:10.1016/j.tmp.2020.100638.

Abou-Shouk, M., & Soliman, M. (2021). The impact of gamification adoption intention on brand awareness and loyalty in tourism: The mediating effect of customer engagement. Journal of Destination Marketing and Management, 20(20), 100559. doi:10.1016/j.jdmm.2021.100559.

Begany, G. M., & Gil-Garcia, J. R. (2021). Understanding the actual use of open data: Levels of engagement and how they are related. Telematics and Informatics, 63(63), 101673. doi:10.1016/j.tele.2021.101673.

Faqih, K. M. S., & Jaradat, M. I. R. M. (2021). Integrating TTF and UTAUT2 theories to investigate the adoption of augmented reality technology in education: Perspective from a developing country. Technology in Society, 67(67), 101787. doi:10.1016/j.techsoc.2021.101787.

Qasem, Z. (2021). The effect of positive TRI traits on centennials adoption of try-on technology in the context of E-fashion retailing. International Journal of Information Management, 56(56), 102254. doi:10.1016/j.ijinfomgt.2020.102254.

Sánchez, M. R., Palos-Sánchez, P. R., & Velicia-Martin, F. (2021). Eco-friendly performance as a determining factor of the Adoption of Virtual Reality Applications in National Parks. Science of the Total Environment, 798(798), 148990. doi:10.1016/j.scitotenv.2021.148990.

Zanetta, L. D. A., Hakim, M. P., Gastaldi, G. B., Seabra, L. M. A. J., Rolim, P. M., Nascimento, L. G. P., Medeiros, C. O., & da Cunha, D. T. (2021). The use of food delivery apps during the COVID-19 pandemic in Brazil: The role of solidarity, perceived risk, and regional aspects. Food Research International, 149(149), 110671. doi:10.1016/j.foodres.2021.110671.

Rakshit, S., Islam, N., Mondal, S., & Paul, T. (2021). Mobile apps for SME business sustainability during COVID-19 and onwards. Journal of Business Research, 135(135), 28–39. doi:10.1016/j.jbusres.2021.06.005.

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DOI: 10.28991/esj-2021-SP1-014


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