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The Behavioral Response to Location Based Services: An Examination of the Influence of Social and Environmental Benefits, and Privacy

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  • Pedro R. Palos-Sanchez

    (Department of Business Management and Sociology, Faculty of Business, Finances and Tourism, University of Extremadura, 10003 Caceres, Spain)

  • José M. Hernandez-Mogollon

    (Department of Business Management and Sociology, Faculty of Business, Finances and Tourism, University of Extremadura, 10003 Caceres, Spain)

  • Ana M. Campon-Cerro

    (Department of Business Management and Sociology, Faculty of Business, Finances and Tourism, University of Extremadura, 10003 Caceres, Spain)

Abstract

Given the importance tourism has in many economies, this research was designed to study how the social and environmental benefits of Location Based Services (LBS) in the tourism sector influence user behavior and thus contribute to sustainable development. The objective has been to study LBS as a solution that makes the deployment of tourism activities easier, more useful and improves attitudes towards it, but in a context where trust in privacy and benefits-based sustainable social and environmental development are key. To achieve this, this research identifies what could be the influence factors in the adoption of mobile applications with Location Based Services from the point of view of the tourism sector, especially if the social and environmental benefits of LBS can help improve usage behavior. We investigated the technological acceptance of LBS in tourism, using Technology Acceptance Model (TAM) as a solid model to explain its adoption. Nine hypotheses were investigated by carrying out a survey of travelers ( n = 277) during their visit to Seville (Spain). To test the conceptual model’s hypotheses, the Partial Least Squares (PLS) technique was applied to estimate variance-based structural equations models (SEM).The results of this study indicated that tourists are willing to accept these LBS services within a particular adoption model, where trust in privacy and social and environmental benefits are paramount.

Suggested Citation

  • Pedro R. Palos-Sanchez & José M. Hernandez-Mogollon & Ana M. Campon-Cerro, 2017. "The Behavioral Response to Location Based Services: An Examination of the Influence of Social and Environmental Benefits, and Privacy," Sustainability, MDPI, vol. 9(11), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:1988-:d:117040
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    1. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    2. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    3. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    4. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    5. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    6. Alexander Dahlsrud, 2008. "How corporate social responsibility is defined: an analysis of 37 definitions," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 15(1), pages 1-13, January.
    7. Tsiros, Michael & Mittal, Vikas, 2000. "Regret: A Model of Its Antecedents and Consequences in Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(4), pages 401-417, March.
    8. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    9. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    10. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    11. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    12. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    13. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    14. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
    15. Sanghoon Lee & Eunil Park & Sang Jib Kwon & Angel P. Del Pobil, 2015. "Antecedents of Behavioral Intention to Use Mobile Telecommunication Services: Effects of Corporate Social Responsibility and Technology Acceptance," Sustainability, MDPI, vol. 7(8), pages 1-15, August.
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    Cited by:

    1. Sung Hee Jang & Chang Won Lee, 2018. "The Impact of Location-Based Service Factors on Usage Intentions for Technology Acceptance: The Moderating Effect of Innovativeness," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    2. Nguyen, Minh-Hoang, 2021. "The Mindsponge-based conceptualization for the technological acceptance mechanism," OSF Preprints z3xgy, Center for Open Science.
    3. Antunes, Nuno & Ramos, Célia & Sousa, Carlos, 2018. "Who Are The Tourists Sharing Content On Social Media? Behaviour And Characteristics," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 6(3), pages 237-257.

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