ABCD technology integration in the hospitality industry of Bangladesh: An analysis of web content
Main Article Content
Abstract
The hospitality sector is undergoing a vital transformation as digital technologies take center stage, with data-driven applications playing a key role in shaping its future. This global sector is witnessing a remarkable evolution, driven by technological advancements, where cutting-edge services are now a necessity for sophisticated travellers. This study explores how data-driven technologies like artificial intelligence, blockchain, cloud computing, and data analytics are being used in the hospitality industry, which relies heavily on information. Additionally, Bangladesh, known for its natural beauty and tourism potential, is falling behind in adopting these digital tools for several reasons. While some tourism organizations are starting to use digital solutions, progress is still limited. This exploratory research from Bangladesh seeks to shed light on the existing landscape and motivate industry professionals to improve their online visibility and offerings. To achieve this goal, the study utilizes web content analysis through the ABCD technology model and investigates the trends of digital adaptation within the Bangladeshi hotel sector.
Metrics
Downloads
Article Details
Section

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
License Agreement for Bangladesh Journal of MIS (BJMIS)
Based on Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0)
All articles published in the Bangladesh Journal of MIS (BJMIS) are licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Key Features of the License
1. Attribution:
- Users must provide appropriate credit to the original author(s) and the Bangladesh Journal of MIS.
- A link to the license must be included, along with an indication of any changes made to the content.
- Attribution must be provided in a reasonable manner but must not imply endorsement by the author(s) or the journal.
2. NonCommercial Use Only:
- Content can be shared (copied and redistributed in any medium or format) and adapted (remixed, transformed, and built upon) for non-commercial purposes only.
3. No Additional Restrictions:
- The license prohibits imposing legal or technological restrictions that limit others from exercising the rights granted under CC BY-NC 4.0.
Author Rights
- Authors retain copyright over their work.
- By submitting their work to BJMIS, authors grant the journal the right to publish the article under the terms of the CC BY-NC 4.0 license.
- Authors are encouraged to share their work through institutional repositories, personal websites, or other platforms, ensuring proper attribution to BJMIS.
Limitations of the License
- The license applies only to the articles published by BJMIS.
- It does not cover third-party content (e.g., images, tables, datasets) included in the articles unless explicitly stated.
- Users must comply with all applicable laws and ensure their use does not infringe upon the rights of others.
How to Attribute
When using content from BJMIS, please include the following attribution:
Author(s), “Article Title,” Bangladesh Journal of MIS, [Volume, Issue, Year], DOI/URL, licensed under CC BY-NC 4.0.
Further Information
For detailed information about the CC BY-NC 4.0 license, visit the Creative Commons website at https://creativecommons.org/licenses/by-nc/4.0/.
How to Cite
Plaudit
References
Akehurst, G. (2008). User generated content: the use of blogs for tourism organisations and tourism consumers. Service Business, 3(1), 51–61.
Akter, S. and Wamba, S.F. (2016). Big data analytics in E-commerce: a systematic review and agenda for future research. Electronic Markets, 26(2), pp.173-194.
Akter, S.; et al. (2020) ‘Transforming Business Using Digital Innovations: The Application of AI, Transforming Business Using Digital Innovations: The Application of AI, Blockchain, Cloud and Data Analytics Blockchain, Cloud and Data Analytics’, 2020, pp. 1–33.
Ali, F., Yasar, B., Ali, L. and Dogan, S. (2023), “Antecedents and consequences of travelers’ trust towards personalized travel recommendations offered by ChatGPT”, International Journal of Hospitality Management, Vol. 114, 103588,doi:10.1016/j.ijhm.2023.103588.
Ali, M.B., Tuhin, R., Alim, M.A., Rokonuzzaman, M., Rahman, S.M. and Nuruzzaman, M. (2024), "Acceptance and use of ICT in tourism: the modified UTAUT model", Journal of Tourism Futures, Vol. 10 No. 2,pp.334-349. doi.org/10.1108/JTF-06-2021-0137
Ali Köseoglu,M., Ross, G., & Okumus, F. (2016). Competitive intelligence practices in hotels, International Journal of Hospitality Management, 53, 161–172.
Almorsy, M., Grundy, J., & Müller, I. 9(2016). An analysis of the cloud computing security problem. preprint arXiv:1609.01107.
Azhar Mohd Harif, M.A., Nawaz, M. and Hameed, W.U. (2022) ‘The role of open innovation, hotel service quality and marketing strategy in hotel business performance’, Heliyon, 8(9), p. e10441. doi:10.1016/j.heliyon.2022.e10441.
Aziz, A.A. et al. (2012) ‘Information and communication technology application’s usage in hotel industry’, Journal of Tourism, Hospitality & Culinary Arts (JTHCA), 4(2), pp. 34–48.
Bader, E. E. (2005). Sustainable hotel business practices. Journal of Retail & Leisure Property, 5(1), 70–77.
Barwise, P.; Farley, J.U. (2005) The State of Interactive Marketing in Seven Countries: Interactive Marketing Comes of Age. J. Int. Mark. 19, 67–80.
Battisti, E., Shams, S. R., Sakka, G., & Miglietta, N. J. B. P. M. J. (2019). Big data and risk management in business processes: implications for corporate real estate.
Bayo-Moriones, A.; Billón, M.; Lera-López, F. (2013). Perceived performance effects of ICT in manufacturing SMEs. Ind. Manag. Data Syst., 113, 117–135.
Bell A, Hollander D (2018) Blockchain and distributed ledger technology at travelport, pp 1–12 [A travel port white paper]. Retrieved from https://www.travelport.com/ sites/default/files/ travelport-blockchain-whitepaper.pdf
Bo, K. S. (2018). Cloud Computing for Business. International Journal of Advances in Scientific Research and Engineering, 4 (7), p.156-160
Bodkhe, U. et al. (2019) ‘BloHosT: Blockchain enabled smart tourism and hospitality management’, CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems [Preprint]. doi:10.1109/CITS.2019.8862001.
BTRC. (July 2009). National ICT Policy 2009. Retrieved August 03, 2019 http://www.btrc.gov.bd/ict-policy
Buhalis, D. (2020). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: A perspective article. Tourism Review, 75(1), 267–272.
Buhalis, D., & Foerste, M. (2015). SoCoMo marketing for travel and tourism: Empowering co-creation of value, Journal of Destination Marketing & Management, 4(3), 151–161.
Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., & Hofacker, C. (2019). Technological disruptions in services: Lessons from tourism and hospitality. Journal of Service Management, 30(4), 484–506.
Camilleri, M. A. J. C., MA . (2019). The Use of Data-Driven Technologies for Customer-Centric Marketing, International Journal of Big Data Management. Forthcoming.
Carr, N.G. (2008). The big switch: Rewiring the world, from Edison to Google. WW Norton & Company.
Cecowski, M., Becker, S., Lehrig, S. (2017). Cloud Computing Applications. Springer International Publishing, Cham, pp. 47–60.
Chavan, Pravin & Havale, Dhanashri & Khang, Alex. (2024). Artificial Intelligence and Tourism: A Bibliometric Analysis of Trends and Gaps. 10.4324/9781032688305-24.
Chen, C. and Wei, Z. (2024), “Role of Artificial Intelligence in travel decision making and tourism product selling”, Asia Pacific Journal of Tourism Research, Vol. 29 No. 3, pp. 1-15, doi: 10.1080/ 10941665.2024.2317390.
Chen, H., Chiang, R. H. L. & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact, MIS quarterly 36(4), 1165-1188.
Chen, J., Wang, Y., & Wang, X. (2012). On-Demand Security Architecture for Cloud Computing. Computer, 45(7), 73–78.
Chowdhury, S. R., Guha, S., & Sanju, N. L. (2024). Artificial Intelligence Enabled Human Resource Management: A Review and Future Research Avenues . Archives of Business Research, 12(6), 94–111. https://doi.org/10.14738/abr.126.17050
Cobanoglu, C., Berezina, K., Kasavana, M. L., & Erdem, M. (2011). The Impact of Technology Amenities on Hotel Guest Overall Satisfaction, Journal of Quality Assurance in Hospitality & Tourism, 12(4), 272–288.
Davenport, T. H. (2014). Big Data at Work, Boston, MA: Harvard Business School Publishing
Del Vecchio, P. D., Mele, G., Ndou, V., & Secundo, G. (2018). Creating value from Social Big Data: Implications for Smart Tourism Destinations. Information Processing & Management, 54(5), 847–860.
Dettoni, J. (2020). Bangladesh targets ICT industry as future growth engine. Retrieved from: https://www.fdiintelligence.com/article/77130.
Díaz, E.; Martín-Consuegra, D.; Esteban, Á. (2015). Is ICT good for employees? An analysis of its effects on sales agents’ perceptions of service cannibalization. Comput. Hum. Behav, 51, 263–271.
Dogru T, Mody M, Leonardi C (2018, Winter) Blockchain technology & its implications for the hospitality industry. Boston Hospitality Review. Retrieved from https://www.bu.edu/bhr/2018/ 02/13/blockchain-technology-its-implications-for-the-hospitality-industry
El Kadiri, S.; Grabot, B.; Thoben, K.D.; Hribernik, K.; Emmanouilidis, C.; Von Cieminski, G.; Kiritsis, D. (2016), Current trends on ICT technologies for enterprise information systems. Comput. Ind., 79, 14–33.
Epiknetworks, (2018). How artificial intelligence is transforming the hotel industry.
Evans G., & Peacock M. (2000). Small is Beautiful? ICT and Tourism SMEs: a Comparative European Survey. In D. R. Fesenmaier, S. Klein, & D. Buhalis (Eds.), Information and Communication Technologies in Tourism 2000. Vienna: Springer.
Fatima, J. K., Ghandforoush, P., Khan, M., & Mascio, R. D. (2019). Mobile learning adoption for tourism education in a developing country. Current Issues in Tourism, 22(4), 420–427.
Filimonau, V. and Naumova, E. (2020) ‘The blockchain technology and the scope of its application in hospitality operations’, International Journal of Hospitality Management, 87(September 2019), p. 102383.doi:10.1016/j.ijhm.2019.102383.
Francis, F. (2019). Robotics in hospitality: how will it impact guest experience?
Fuchs, M., Scholochov, C., & Höpken, W. (2009). E-Business Adoption, Use, and Value Creation: An Austrian Hotel Study. Information Technology & Tourism, 11(4), 267–284.
Gangwar, H., Date, H., Ramaswamy, R., (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. J. Enterprise Inf. Manage. 28, 107–130.
Gobble, M. M. (2013). Big data: The next big thing in innovation. Research-technology management, 56(1), 64-67.
Goudarzi H, Martin JI (2018) Blockchain in aviation. Retrieved from International Air Transport Association website: https://www.iata.org/contentassets/2d997082f3c84c7cba001f506edd2c2e/ blockchain-in-aviation-white-paper.pdf
Guttentag, D. A. (2010). Virtual reality: Applications and implications for tourism. Tourism Management, 31(5), 637–651.
Haaser, C., Massa I., Beillevaire, S., Lissorgues, A., and Atallah, M. (2018) Artificial intelligence: A game changer in the hospital industry.
Hjalager, A. M. (2010). A review of innovation research in tourism. Tourism Management, 31(1)1-12.
Ho, C. I., Lin, M. H., & Chen, H. M. (2012). Web users’ behavioural patterns of tourism information search: From online to offine. Tourism Management, 33(6), 1468–1482.
Hopkins, G., (2011). Why the Cloud is Right for Hospitality
HTNG (2018) Blockchain for hospitality. Retrieved from Hospitality Technology Next Generation website: https://www.hospitalitynet.org/file/152008497.pdf
Huang, D., Jin, X., Huang, J. and Kong, S. (2023), “Tourist acceptance of robot chefs in gastronomy experiences: a behavioural reasoning perspective”, Tourism Management Perspectives, Vol. 48, 101172, doi: 10.1016 /j.tmp.2023.101172.
Irvin C, Sullivan J (2018) Using blockchain to streamline airline finance, pp 1–6.
Irvine, W., and Anderson A. R. (2008). ICT (information communication technology) , peripherally and smaller hospitality businesses in Scotland. International Journal of Entrepreneurial Behavior & Research, 14(4), 200-218.
Jaremen, D. E, Jędrasiak, M., & Rapacz, A. (2016). The concept of smart hotels as an innovation on the hospitality industry market-case study of PURO hotel in Wrocław, Zeszyty Naukowe Uniwersytetu Szczecińskiego. Ekonomiczne Problemy Turystyki, 36(4), 65-75.
Jaremen, D. E. (2016). Advantages from ICTs usage in hotel industry. Czech Journal of Social Sciences, Business and Economics, 5, 6-17.
Jorgenson, D.W.; Vu, K.M. (2016), The ICT revolution, world economic growth, and policy issues. Telecommun. Policy, 40, 383–397.
Kamble, S., Gunasekaran, A., Arha, H., (2018). Understanding the Blockchain technology adoption in supply chains-Indian context. Int. J. Prod. Res. 1–25.
Kamble, S.S., Gunasekaran, A., Kumar, V., Belhadi, A., Foropon, C., (2020). A machine learning based approach for predicting blockchain adoption in supply Chain. Technol. Forecast. Soc. Change.
Kant, K. (2020). Bangladesh's per capita GDP now higher than eastern and northeastern India. Business Standard. Retrieved from https://www.business-standard.com/article/economy-policy/bangladesh-sper-capita-gdp-now-higher-than-eastern-and-northeastern-india-120021201715
Kärle, E., & Fensel, A. (2015). Multi-platform mobile service creation. Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia - MoMM 2015.
Kazak, A.N., Chetyrbok, P. V. and Oleinikov, N.N. (2020) ‘Artificial intelligence in the tourism sphere’, IOP Conference Series: Earth and Environmental Science, 421(4).doi:10.1088/17551315/421/4/042020.
Kazandzhieva, V., & Santana, H. (2019). E-tourism: Definition, development and conceptual framework. Tourism: An International Interdisciplinary Journal, 67(4), 332-350.
Khan, O. F. (2020). Information and Communication Technology (ICT) Status, issues and future development plans of Bangladesh. Retrieved from: http://www.btrc.gov.bd.
Kuberkar, S., Singhal, T.K., 2020. Factors influencing adoption intention of ai powered chatbot for public transport services within a smart city. Int. J. Emerg. Technol.
Kwok, A. O. J., & Koh, S. G. M. (2018). Is blockchain technology a watershed for tourism development? Current Issues in Tourism. Retrieved from https://www.tandfonline.com/doi/abs/ 10.1080/13683500.2018.1513460
Larchet V (2017) Blockchain: solution for the black market threat to the tourism industry, pp 1–14.
Lasek, M., & Jessa, S. (2013). Chatbots for customer service on hotels' websites. Information Systems in Management, 2(2), 146-158.
Law, R. and Hsu, C.H.C. (2005) ‘Customers’ perceptions on the importance of hotel web site dimensions and attributes’, International Journal of Contemporary Hospitality Management, 17(6), pp. 493–503. doi:10.1108/09596110510612130.
Law, R.; Leung, D.; Chan, I.C.C. (2019), Progression and development of information and communication technology research in hospitality and tourism. Int. J. Contemp. Hosp. Manag.
LE, N.N.K. and Bui, B.T.T. (2022) ‘Factors Affecting Online Hotel Selection Behavior of Domestic Tourists: An Empirical Study from Vietnam’, The Journal of Asian Finance, Economics and Business, 9(5), pp. 187–199. doi:10.13106/jafeb.2022.vol9.no5.0187.
Lemley, J., Bazrafkan, S., Corcoran, P. (2017). Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, and computer vision. IEEE Consumer Electronics Magazine 6, 48-56.
Leung, R., & Law, R. (2012). Evaluation of Hotel Information Technologies and EDI Adoption. Cornell Hospitality Quarterly, 54(1), 25–37.
Li, F. (2018). The digital transformation of business models in the creative industries: A holistic framework and emerging trends. Technovation.
Lin, H., Chi, O.H. and Gursoy, D. (2020) ‘Antecedents of customers’ acceptance of artificially intelligent robotic device use in hospitality services’, Journal of Hospitality Marketing and Management, 29(5), pp. 530–549. doi:10.1080/19368623.2020.1685053.
Liu, J.N.K. and Zhang, E.Y. (2014) ‘An investigation of factors affecting customer selection of online hotel booking channels’, International Journal of Hospitality Management, 39, pp. 71–83. doi:10.1016/j.ijhm.2014.01.011.
Manyika, J., Chui, M., Lund, S. and Ramaswamy, S. (2017). What’s now and next in analytics, AI, and automation. McKinsey Global Institute, pp.1-12.
Mathayomchan, B., & Sripanidkulchai, K. (2019). Utilizing Google translated Reviews from Google maps in sentiment analysis for Phuket tourist attractions. In 2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE). Chonburi: IEEE, the 10th-12th July, pp. 260–265.
McGettigan, Timothy, (2016). Artificial Intelligence: Is Watson the Real Thing?
Mihalič, T., & Buhalis, D. (2013). ICT as a new competitive advantage factor – Case of small transitional hotel sector. Economic and Business Review, 15(1), 33-56.
Morrison, A.M., Taylor, S., Morrison, A.J. and Morrison, A.D. (1999), “Marketing small hotels on the world wide web”, Information Technology & Tourism, Vol. 2 No. 2, pp. 97-113.
Mowla, M. M. (2019). E-tourism: An innovative and sustainable approach to appreciate the economic growth in Bangladesh. International Journal of Advances in Management and Economics, 8(2), 1–10.
Murphy, J., Hofaker, C., & and& Gretzel U. (2017). Dawning of the age of robots in hospitality and tourism: Challenges for teaching and research. European Journal of Tourism Research, 15, 104–111.
Najafi pour, A. A., Fallah, Y. A., Foroozanfar, M. H., & Ziaee Adib, S. M. (2019). Developing a model for tourism smart card and evaluating its eff ect on tourism services. Tourism: An International Interdisciplinary Journal, 67(2), 147-158.
Nam K, Dutt CS, Chathoth P, Khan MS (2019) Blockchain technology for smart city and smart tourism: Latest trends and challenges. Asia Pac J Tour Res 1–15.
Nam, K. et al. (2021) ‘The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges’, Electronic Markets, 31(3), pp. 553–574. doi:10.1007/s12525-020-00442-3.
Nyabuti, R. (2018). The Impact of Business Intelligence on Corporate Performance Management: A Study of Equity Ban.
Ohlan, R. (2018). Role of Information Technology in Hotel Industry. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 3(2), 277-281.
Ollo-Lopez, A.; Aramendia-Muneta, M.E. (2012). ICT impact on competitiveness, innovation and environment. Telematics Inform., 29, 204–210.
Önder I, Treiblmaier H (2018) Blockchain and tourism: three research propositions. Ann Tour Res 72(C):180–182.
Orfi la-Sintes, F., Crespi-Cladera, R., & Martinez-Ros, E. (2005). Innovation Activity in the Hotel Industry: Evidence from the Balearic Islands, Tourism Management, 26(6), 851-865.
Ozturk, A. B., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-effi cacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36(6), 1350–1359.
Pejic, A., Pletl, S., & Pejic, B. (2009). An expert system for tourists using Google Maps API. In 2009 7th International symposium on intelligent systems and informatics. Beijing: IEEE, the 28th-30th August, pp. 317–322.
Pérez-López, R.J.; OlguínTiznado, J.E.; MojarroMagaña, M.; Camargo Wilson, C.; López Barreras, J.A.; García-Alcaraz, J.L. (2019). Information sharing with ICT in production systems and operational performance. Sustainability, 11, 3640.
Pilkington M (2017) Can blockchain technology help promote new tourism destinations? The example of medical tourism in Moldova. SSRN Scholarly Paper No. ID 2984479.
Pivčević, S., & Garbin Praničević, D. (2012). Innovation Activity in the Hotel Sector - The Case of Croatia. Ekonomska Istrazivanja - Economic Research, 25(1), 337-363.
Praničevic, D.G. and Mandic, A. (2020) ‘ICTs in the hospitality industry: An importance-performance analysis among small family-owned hotels’, Tourism, 68(2), pp. 221–234. doi:10.37741/T.68.2.9.
Priyadarsini, R., Xuchao, W., & Eang, L. S. (2009). A study on energy performance of hotel buildings in Singapore. Energy and Buildings, 41(12), 1319–1324.
Radde, B. (2017). Digital Guest Experience: Tools to help hotels to manage and optimize the digital guest experience. Hamburg, Germany: Tredition,GmbH.
Rahman, M.K. and Hassan, A. (2021) ‘Tourist Experience and Technology Application in Bangladesh’, Technology Application in the Tourism and Hospitality Industry of Bangladesh, pp. 319–332. doi:10.1007/978-981-16-2434-6_19.
Roblek , V., Meško Štok, Z., & Meško, M. (2016). Complexity of a sharing economy for Tourism and hospitality, Tourism & Hospitality Industry 2016, Congress Proceedings, 374-387.
Rodríguez-Espíndola, O. et al. (2022) ‘Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing’, Technological Forecasting and Social Change, 178(February), p. 121562. doi:10.1016/j.techfore.2022.121562.
Sabi, H. M., Uzoka, F.-M. E., Langmia, K., & Njeh, F. N. (2016). Conceptualizing a model for adoption of cloud computing in education. International Journal of Information Management, 36(2), 183-191.
Sakib, M.N., Chowdhury, S.R., Younus, M. et al. (2024), How HR analytics evolved over time: a bibliometric analysis on Scopus database. Futur Bus J 10, 87. https://doi.org/10.1186/s43093-024-00375-9
Saleem, F.; Salim, N.; Altalhi, A.H.; Ullah, Z.; AL-Malaise AL-Ghamdi, A.; Mahmood Khan, Z. (2020), Assessing the effects of information and communication technologies on organizational development: Business values perspectives. Inform. Technol. Dev., 26, 54–88.
Sanju, N. L. (2024). Artificial intelligence in hospitality: a bibliometric review and research agenda. Social Science and Management.1(3):28-38 DOI: https://doi.org/10.61784/ssm3024.
Sanju, N. L. (2023). Trends of information systems in tourism: A review of literature. International Journal of Research and Review, 10(12), 229-241. https://doi.org/10.52403/ijrr.20231227
Sardar, S. (2019) ‘Sazu Sardar, D., Hossain, M. E., Kamruzzaman, M., & Ray, R. (2021). ICT APPLICATIONS IN TOURISM AND HOSPITALITY INDUSTRY OF BANGLADESH: A RESEARCH REVIEW.’
Sardar, S., Hossain, M. E., Hossain, M. I., & Islam, M. (2020). Factors affecting visitor’s satisfaction: an empirical study on the Paharpur Buddha Vihara, Naogaon, Rajshahi. Int. J. Manag. Account, 2(4), 61- 73.
Sarker, M. S. I., & Dash, S. C. (2024). ROLE OF INFORMATION TECHNOLOGY AND TOURISM PROMOTION IN BANGLADESH. International Journal of Marketing Research Innovation, 9(1), 1-11. doi.org/10.46281/ijmri.v9i1.2240
Sathi, A. (2012). Big Data Analytics: Disruptive Technologies for Changing the Game. Boise, USA. IBM Corporation., ID: MC press.
Seggitur & CICtourGUNE (2014). Improving Competitiveness in the Caribbean Tourism Sector through ICT-based Innovations. Inter-American Development Bank.
Senyo, P., Addae, E., & Boateng, R. (2018). Cloud Computing research: A review of research themes, frameworks, methods and future research directions. Journal of Enterprise Information Management, 39(1), 129–139.
Senyo, P., Effah, J., & Addae, E. (2016). Preliminary insight into cloud computing adoption in a developing country. Journal of Enterprise Information Management, 29(4), 505–524.
Shams, S. M. R., & Solima, L. (2019). Big data management: implications of dynamic capabilities and data incubator. Management Decision, 57(8), 2113-2123.
Sharma, H., Bansal, H., & Sharma, A. (2015). Cloud computing. on: http://www. edureka.co/blog/what-is-cloud-computing.
Sheppard, S. R., & Cizek, P. (2009). The ethics of Google Earth: Crossing thresholds from spatial data to landscape visualisation. Journal of Environmental Management, 90(6), 2102–2117.
Sirirak, S., Islam, N. and Khang, D.B. (2011) ‘Does ICT adoption enhance hotel performance?’, Journal of Hospitality and Tourism Technology, 2(1), pp. 34–49. doi:10.1108/17579881111112403
Steinfield, C.; LaRose, R.; Chew, H.E.; Tong, S.T. (2012), Small and medium-sized enterprises in rural business clusters: The relation between ICT adoption and benefits derived from cluster membership. Inform. Soc., 28, 110–120.
Tong-On, P., Siripipatthanakul, S. and Phayaphrom, B. (2021) ‘The implementation of business intelligence using data analytics and its effects towards performance in hotel industry in Thailand’, International Journal of Behavioral Analytics, 1(2), pp. 1–17. https://ssrn.com/abstract=3944077.
Tredinnick, L., (2017). Artificial intelligence and professional roles. Business Information Review 34, 37-41.
Treiblmaier H (2018), The impact of the blockchain on the supply chain: a theory-based research framework and a call for action. Supply Chain Manag Int J 23(6), 545–559.
Treiblmaier, H. (2020) ‘Handbook of e-Tourism’, Handbook of e-Tourism [Preprint], (August). doi:10.1007/978-3-030-05324-6.
Tung, V. W. S., & Law, R. (2017). The potential for tourism and hospitality experience research in human-robot interactions. International Journal of Contemporary Hospitality Management, 29(10), 2498–2513.
Umrani, W.A., (2016). Moderating Effect of Organizational Culture on the Relationship between Corporate Entrepreneurship and Business Performance in Pakistan's Banking Sector. Universiti Utara Malaysia.
Van Niekerk, M. (2016). Business, technology, and marketing trends influencing the financial performance of the hotel industry. The Journal of Hospitality Financial Management, 24(2), 153- 157.
Vella, Elaine, Yang, Longzhi, Anwar, Naveed and Jin, Nanlin (2018) Adoption of Cloud Computing in Hotel Industry as Emerging Services. In: Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science (10766). Springer, Cham, pp. 218- 228.
Verma, S., Bhattacharyya, S.S., Kumar, S., (2018). An extension of the technology acceptance model in the big data analytics system implementation environment. Inf. Process Manage. 54, 791–806.
Wamba, S.F., Akter, S., Edwards, A., Chopin, G. and Gnanzou, D. (2015). How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, pp.234-246.
Wang Z, Wang N, Su X, Ge S. (2020). An empirical study on business analytics affordances enhancing the management of cloud computing data security. International Journal of Information Management, 50, 387-94.
Weill, P., & Woerner, S. L. (2018). Is Your Company Ready for a Digital Future? MIT Sloan Management Review, 59(2), 21-25.
Wernerfelt, B., 1984. A resource-based view of the firm. Strategic Manage. J. 5, 171–180.
Willie P (2019) Can all sectors of the hospitality and tourism industry be influenced by the innovation of blockchain technology? Worldwide Hosp Tour Themes. https://doi.org/10.1108/ WHATT-11-2018-0077
WTM (2019). Artificial intelligence and automation to increase hotel revenues by 10% and cut costs by 15%. URL: https://news.wtm. com/artificial-intelligence-and-automation-to-increase-hotelrevenues-by-10-and-cut-costs-by-15-says-atm-report/. Jan 16. Retrieval: 20. 12. 2019.
WTTC. (2020a). BANGLADESH 2020 ANNUAL RESEARCH: KEY HIGHLIGHTS.
WTTC. (2020b). Economic Impact Reports. Retrieved from https://wttc.org/Research/Economic-Impact
Xia, T., Zhang, W., Chiu, W.S. and Jing, C. (2020). Using cloud computing integrated architecture to improve delivery committed rate in smart manufacturing. Enterprise Information Systems, pp.1-20.
Yang, L., Zohu, G., Sun, L. (2022). Application and exploration of ‘ABCD’ Technology in the field of Internet Customer Finance. International conference of big data, Information and Computer network, IEEE.
Ying W, Jia S, Du W (2018) Digital enablement of blockchain: evidence from HNA group. Int J Inf Manag 39:1–4.
Yurtlu, M. (2020) ‘Special Issue on Managing Tourism Across Continents Current Cloud-Based Software Services Used in Online Marketing of Hotels in Turkey Türkiye’de Otellerin Çevrimiçi Pazarlamasında Kullanılan Bulut Tabanlı Güncel Yazılım Hizmetleri’, (December).
Zalama, E., García-Bermejo, J. G., Marcos, S., Domínguez, S., Feliz, R., Pinillos, R., & López, J. (2014). Sacarino, a Service Robot in a Hotel Environment. Advances in Intelligent Systems and Computing, 3–14.
Zapalska, A. M., Brozik, D. i Zieser, N. (2015). Factors affecting success of small business enterprises in the Polish tourism industry. Tourism: An International Interdisciplinary Journal, 63(3),365-381.
Zikria, Y.B.; Kim, S.W.; Hahm, O.; Afzal, M.K.; Aalsalem, M.Y. (2019), Internet of Things (IoT) operating systems management: Opportunities, challenges, and solution. Sensors, 19, 1793.