IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v23y2021i57p360.html
   My bibliography  Save this article

Factors That Influence the Adoption of the Internet of Things in Tourism by Romanian Consumers

Author

Listed:
  • Vasile Dinu

    (Bucharest University of Economic Studies, Romania)

  • Sorin Paul Lazar

    (Babes-Bolyai University of Cluj-Napoca, Romania)

  • Iustin Atanasiu Pop

    (Babes-Bolyai University of Cluj-Napoca, Romania)

Abstract

The study examines the causal relationship between the level of IoT adoption in tourism services and trust in these systems, on the one hand, and individual internal consumer behaviours, on the other. Influencing factors are grouped into six categories: awareness, confidentiality and safety, cost, convenience, social influence, and habits. Each category is described by several items, and the correctness of their aggregation is tested with the Cronbach's alpha coefficient. The dependent variable is defined on an ordinal scale, to be able to progressively evaluate the degree of IoT adoption. The research methodology uses the ordered multinomial logit model, applied to a database of 431 tourists from Romania. The main results show the significant influence of behavioural variables related to awareness, convenience, habits, and cost. Among the socio-demographic factors, the role of age and education was highlighted. The conclusions of the study make policy recommendations necessary for the development of IoT systems in tourism industry.

Suggested Citation

  • Vasile Dinu & Sorin Paul Lazar & Iustin Atanasiu Pop, 2021. "Factors That Influence the Adoption of the Internet of Things in Tourism by Romanian Consumers," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(57), pages 360-360.
    • Handle: RePEc:aes:amfeco:v:23:y:2021:i:57:p:360
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3009.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Constanta-Nicoleta Bodea & Augustin Purnus, 2018. "Legal implications of adopting Building Information Modeling (BIM)," Juridical Tribune - Review of Comparative and International Law, Bucharest Academy of Economic Studies, vol. 8(1), pages 63-72, March.
    2. Davidson, Russell & MacKinnon, James G., 1984. "Convenient specification tests for logit and probit models," Journal of Econometrics, Elsevier, vol. 25(3), pages 241-262, July.
    3. Cristian Dragos, 2010. "ROC curve for discrete choice models an application to the Romanian car market," Applied Economics Letters, Taylor & Francis Journals, vol. 17(1), pages 75-79, January.
    4. Kateryna Nekit & Denis Kolodin & Valentyn Fedorov, 2020. "Personal data protection and liability for damage in the field of the internet of things," Juridical Tribune - Review of Comparative and International Law, Bucharest Academy of Economic Studies, vol. 10(1), pages 80-93, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Violeta Mihaela Dincă & Anca Bogdan & Cristinel Vasiliu & Francisca Zamfir, 2021. "The Influence of Romanian Mobile Commerce Companies on Developing Green Innovation," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    2. Dincă Violeta Mihaela & Moagăr-Poladian Simona, 2023. "Impact of Flexible Working Opportunities on Romanian Employees Work-Life Balance and Interest in Acquiring New Knowledge," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1203-1212, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Goergen, Marc & Renneboog, Luc & Correia da Silva, Luis, 2005. "When do German firms change their dividends?," Journal of Corporate Finance, Elsevier, vol. 11(1-2), pages 375-399, March.
    2. Kodila-Tedika, Oasis & Khalifa, Sherif, 2022. "State History and State Fragility in Sub-Saharan Africa," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(4), pages 39-53, December.
    3. Alexandra Ferreira‐Lopes & Pedro Linhares & Luís Filipe Martins & Tiago Neves Sequeira, 2022. "Quantitative easing and economic growth in Japan: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 235-268, February.
    4. Demirguc-Kunt, Ash & Diwan, Ishac & Spiegel, Mark M., 1997. "Heterogeneity in bank valuation of LDC debt: Evidence from the 1988 Brazilian debt-reduction program," Journal of Monetary Economics, Elsevier, vol. 39(3), pages 535-550, August.
    5. Hoetker, Glenn, 2004. "Confounded Coefficients: Accurately Comparing Logit and Probit Coefficients across Groups," Working Papers 03-0100, University of Illinois at Urbana-Champaign, College of Business.
    6. Davidson, Russell & MacKinnon, James G., 1989. "Testing for Consistency using Artificial Regressions," Econometric Theory, Cambridge University Press, vol. 5(3), pages 363-384, December.
    7. DeJong, D.V. & Blume, A. & Neumann, G., 1998. "Learning in Sender-Receiver Games," Other publications TiSEM 4a8b4f46-f30b-4ad2-bb0c-1, Tilburg University, School of Economics and Management.
    8. Ziegler, Andreas, 2002. "Simulated Classical Tests in the Multiperiod Multinomial Probit Model," ZEW Discussion Papers 02-38, ZEW - Leibniz Centre for European Economic Research.
    9. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    10. Diwan, Ishac & Demirguc-Kunt, Asli, 1990. "The menu approach to developing country external debt : an analysis of commercial banks'choice behavior," Policy Research Working Paper Series 530, The World Bank.
    11. Michael Lechner, 2000. "An Evaluation of Public-Sector-Sponsored Continuous Vocational Training Programs in East Germany," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 347-375.
    12. Isabel Proenca & Joao Santos Silva, 2005. "Parametric and semiparametric specification tests for binary choice models: a comparative simulation study," Econometrics 0508008, University Library of Munich, Germany.
    13. Brown, Jeff E. & Ethridge, Don E., 1995. "Functional Form Model Specification: An Application To Hedonic Pricing," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(2), pages 1-8, October.
    14. Yann Bramoullé & Kenan Huremovic, 2017. "Promotion through Connections: Favors or Information?," Working Papers halshs-01577251, HAL.
    15. Carlsson, Fredrik & Johansson-Stenman, Olof, 2006. "Should We Trust Hypothetical Referenda? Test and Identification Problems," Working Papers in Economics 189, University of Gothenburg, Department of Economics, revised 24 Jan 2006.
    16. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
    17. J. M. C. Santos Silva & Silvana Tenreyro, 2015. "Trading Partners and Trading Volumes: Implementing the Helpman–Melitz–Rubinstein Model Empirically," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 93-105, February.
    18. Ioana-Nicoleta Abrudan & Ciprian-Marcel Pop & Paul-Sorin Lazăr, 2020. "Using a General Ordered Logit Model to Explain the Influence of Hotel Facilities, General and Sustainability-Related, on Customer Ratings," Sustainability, MDPI, vol. 12(21), pages 1-22, November.
    19. Jeffery Gunther & Linda Hooks & Kenneth Robinson, 2000. "Adverse Selection and Competing Deposit Insurance Systems in Pre-Depression Texas," Journal of Financial Services Research, Springer;Western Finance Association, vol. 17(3), pages 237-258, September.
    20. J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.

    More about this item

    Keywords

    IoT; tourism; ordered logit model; TAM model;
    All these keywords.

    JEL classification:

    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development
    • Z33 - Other Special Topics - - Tourism Economics - - - Marketing and Finance
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aes:amfeco:v:23:y:2021:i:57:p:360. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.