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Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India

Author

Listed:
  • Sunil Tiwari

    (University Institute of Tourism and Hotel Management (U.I.T.H.M.), Chandigarh University, Mohali 140413, India)

  • Joanna Rosak-Szyrocka

    (Faculty of Management, Czestochowa University of Technology, 42-200 Czestochowa, Poland)

  • Justyna Żywiołek

    (Faculty of Management, Czestochowa University of Technology, 42-200 Czestochowa, Poland)

Abstract

The development of tourist destinations has been determined by sustainable energy management and the advancement of traditional methods. The rate of development must adapt to technological innovations while also considering future generations. The present study aims to determine to what extent tourism personnel are aware of the skills, knowledge, and methods for sustainable energy management, and also to analyze the Internet of Things as a technological solution for sustainable energy management at tourism destinations in India with the help of the Servqual method. It is important to implement modern technologies such as internal things and develop a sustainable attitude toward tourism. Findings suggested that over each attribute of Servqual model, reliability, assurance, tangibles, empathy and responsiveness of IoT as sustainable energy management solutions at tourism destinations in India, tourism stakeholders have higher level of expectations (23.41, 19.86, 18.45, 23.60 and 24.73) and perceptions (18.34, 16.50, 14.97, 18.17 and 19.20) followed by tourists expectations (22.10, 17.36, 16.01, 22.62 and 21.87) and perceptions (19.32, 11.75, 09.46, 15.06 and 17.43) and local residents expectations (20.17, 14.61, 14.87, 19.46 and 18.81) and perceptions (13.48, 08.85, 07.73, 13.54 and 12.94), respectively. Results also showed that older generations and traditional tourism destinations are unable to cope with the modern advanced terminology, tools, and management strategies, which makes the present study the most significant about changing the traditional way of energy management and developing tourism destinations as sustainable and responsible.

Suggested Citation

  • Sunil Tiwari & Joanna Rosak-Szyrocka & Justyna Żywiołek, 2022. "Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India," Energies, MDPI, vol. 15(7), pages 1-20, March.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2433-:d:779848
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    References listed on IDEAS

    as
    1. Bernd W. Wirtz, 2021. "Internet of Things," Springer Texts in Business and Economics, in: Digital Business and Electronic Commerce, edition 1, chapter 6, pages 189-215, Springer.
    2. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    3. Sunil Tiwari & Natalia Tomczewska-Popowycz & Shiv Kumar Gupta & Magdalena Petronella Swart, 2021. "Local Community Satisfaction toward Tourism Development in Pushkar Region of Rajasthan, India," Sustainability, MDPI, vol. 13(23), pages 1-20, December.
    4. Ahn, Sang-Jin, 2020. "Three characteristics of technology competition by IoT-driven digitization," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    5. Justyna Żywiołek & Joanna Rosak-Szyrocka & Maciej Mrowiec, 2021. "Knowledge Management in Households about Energy Saving as Part of the Awareness of Sustainable Development," Energies, MDPI, vol. 14(24), pages 1-14, December.
    6. Macharis, Cathy & De Witte, Astrid & Turcksin, Laurence, 2010. "The Multi-Actor Multi-Criteria Analysis (MAMCA) application in the Flemish long-term decision making process on mobility and logistics," Transport Policy, Elsevier, vol. 17(5), pages 303-311, September.
    7. Sonja Lehmann & Peter Buxmann, 2009. "Pricing Strategies of Software Vendors," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(6), pages 452-462, December.
    8. Gabriel Bitran & René Caldentey, 2003. "An Overview of Pricing Models for Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 203-229, August.
    9. Justyna Żywiołek & Francesco Schiavone, 2021. "Perception of the Quality of Smart City Solutions as a Sense of Residents’ Safety," Energies, MDPI, vol. 14(17), pages 1-16, September.
    10. Bernd W. Wirtz, 2021. "Digital Business and Electronic Commerce," Springer Texts in Business and Economics, Springer, edition 1, number 978-3-030-63482-7, August.
    11. Saeedi, Hamid & Wiegmans, Bart & Behdani, Behzad & Zuidwijk, Rob, 2017. "European intermodal freight transport network: Market structure analysis," Journal of Transport Geography, Elsevier, vol. 60(C), pages 141-154.
    12. Brew-Hammond, Abeeku, 2010. "Energy access in Africa: Challenges ahead," Energy Policy, Elsevier, vol. 38(5), pages 2291-2301, May.
    13. Lim, Ming K. & Bahr, Witold & Leung, Stephen C.H., 2013. "RFID in the warehouse: A literature analysis (1995–2010) of its applications, benefits, challenges and future trends," International Journal of Production Economics, Elsevier, vol. 145(1), pages 409-430.
    14. Sasan Maleki & Talal Rahwan & Siddhartha Ghosh & Areej Malibari & Daniyal Alghazzawi & Alex Rogers & Hamid Beigy & Nicholas R Jennings, 2020. "The Shapley value for a fair division of group discounts for coordinating cooling loads," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-28, January.
    15. Kim, Soo-Il & Haab, Timothy C., 2009. "Temporal insensitivity of willingness to pay and implied discount rates," Resource and Energy Economics, Elsevier, vol. 31(2), pages 89-102, May.
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