Effects of privacy concern, risk, and information control in a smart tourism destination

References

• Abubakar, A. M., & Ilkan, M. (2016). Impact of online WOM on destination trust and intention to travel: A medical tourism perspective. Journal of Destination Marketing & Management, 5(3), 192–201. https://doi.org/https://doi.org/10.1016/j.jdmm.2015.12.005
   Web of Science ®Google Scholar
• Afolabi, O. O., Adeshola, I., Ozturen, A., & Ilkan, M. (2020). The influence of context on privacy concern in smart tourism destinations. PEOPLE: International Journal of Social Sciences, 6(1), 282–293. https://doi.org/https://doi.org/10.20319/pijss.2020.61.282293
   Google Scholar
• Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions. Sage.
   Google Scholar
• Artigas, E. M., Yrigoyen, C. C., Moraga, E. T., & Villalón, C. B. (2017). Determinants of trust towards tourist destinations. Journal of Destination Marketing & Management, 6(4), 327–334. https://doi.org/https://doi.org/10.1016/j.jdmm.2017.03.003
   Web of Science ®Google Scholar
• Bandura, A. (1989). Human agency in social cognitive theory. The American Psychologist, 44(9), 1175–1184. https://doi.org/https://doi.org/10.1037/0003-066x.44.9.1175
   PubMed Web of Science ®Google Scholar
• Bansal, G., Zahedi, F. M., & Gefen, D. (2015). The role of privacy assurance mechanisms in building trust and the moderating role of privacy concern. European Journal of Information Systems, 24(6), 624–644. https://doi.org/https://doi.org/10.1057/ejis.2014.41
   Web of Science ®Google Scholar
• Boateng, H., Adam, D. R., Okoe, A. F., & Anning-Dorson, T. (2016). Assessing the determinants of internet banking adoption intentions: A social cognitive theory perspective. Computers in Human Behavior, 65, 468–478. https://doi.org/https://doi.org/10.1016/j.chb.2016.09.017
   Web of Science ®Google Scholar
• Buhalis, D., & Amaranggana, A. (2015). Smart tourism destinations enhancing tourism experience through personalization of services. In Information and communication technologies in tourism 2015 (pp. 377–389). Cham: Springer.
   Google Scholar
• 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. https://doi.org/https://doi.org/10.1016/j.jdmm.2015.04.001
   Web of Science ®Google Scholar
• Buonincontri, P., & Micera, R. (2016). The experience co-creation in smart tourism destinations: A multiple case analysis of European destinations. Information Technology & Tourism, 16(3), 285–315. https://doi.org/https://doi.org/10.1007/s40558-016-0060-5
   Web of Science ®Google Scholar
• Chang, C. C. (2015). Exploring mobile application customer loyalty: The moderating effect of use contexts. Telecommunications Policy, 39(8), 678–690. https://doi.org/https://doi.org/10.1016/j.telpol.2015.07.008
   Web of Science ®Google Scholar
• Chang, S. E., & Shen, W. C. (2018). Exploring smartphone social networking services for mobile tourism. International Journal of Mobile Communications, 16(1), 63–81. https://doi.org/https://doi.org/10.1504/IJMC.2018.088273
   Web of Science ®Google Scholar
• Chih, C., & Lin, C. P. (2019). The impact of employees' perceptions of HR practices on identification with the company and citizenship behaviour. Employee Relations: The International Journal, 42(6), 1238–1255. https://doi.org/https://doi.org/10.1108/ER-08-2018-0217
   Google Scholar
• Choe, Y., & Fesenmaier, D. R. (2017). The quantified traveler: Implications for smart tourism development. In Analytics in smart tourism design (pp. 65–77). Cham: Springer.
   Google Scholar
• Choi, M., Law, R., & Heo, C. Y. (2016). Shopping destinations and trust–tourist attitudes: Scale development and validation. Tourism Management, 54, 490–501. https://doi.org/https://doi.org/10.1016/j.tourman.2016.01.005
   Web of Science ®Google Scholar
• Culnan, M. J. (1995). Consumer awareness of name removal procedures: Implications for direct marketing. Journal of Direct Marketing, 9(2), 10–19. https://doi.org/https://doi.org/10.1002/dir.4000090204
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• De Reuver, M., Ongena, G., & Bouwman, H. (2013). Should mobile Internet be an extension to the fixed web? Fixed-mobile reinforcement as mediator between context of use and future use. Telematics and Informatics, 30(2), 111–120. https://doi.org/https://doi.org/10.1016/j.tele.2012.02.002
   Web of Science ®Google Scholar
• Del Chiappa, G., & Baggio, R. (2015). Knowledge transfer in smart tourism destinations: Analyzing the effects of a network structure. Journal of Destination Marketing & Management, 4(3), 145–150. https://doi.org/https://doi.org/10.1016/j.jdmm.2015.02.001
   Web of Science ®Google Scholar
• Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer–seller relationships. Journal of Marketing, 61(2), 35–51.
   Web of Science ®Google Scholar
• Efthymiopoulos, M. P. (2016). Cyber-security in smart cities: The case of Dubai. Journal of Innovation and Entrepreneurship, 5(1), 11. https://doi.org/https://doi.org/10.1186/s13731-016-0036-x
   Google Scholar
• Femenia-Serra, F. (2018). Smart tourism destinations and higher tourism education in Spain. Are we ready for this new management approach? In Information and communication technologies in tourism 2018 (pp. 437–449). Cham: Springer.
   Google Scholar
• Femenia-Serra, F., Neuhofer, B., & Ivars-Baidal, J. A. (2019). Towards a conceptualization of smart tourists and their role within the smart destination scenario. The Service Industries Journal, 39(2), 109–133. https://doi.org/https://doi.org/10.1080/02642069.2018.1508458
   Web of Science ®Google Scholar
• Font, X., Garay, L., & Jones, S. (2016). A social cognitive theory of sustainability empathy. Annals of Tourism Research, 58, 65–80. https://doi.org/https://doi.org/10.1016/j.annals.2016.02.004
   Web of Science ®Google Scholar
• Garcia, A., Linaza, M. T., Gutierrez, A., & Garcia, E. (2019). Gamified mobile experiences: Smart technologies for tourism destinations. Tourism Review, 74(1), 30–49. https://doi.org/https://doi.org/10.1108/TR-08-2017-0131
   Web of Science ®Google Scholar
• Gambino, A., Kim, J., Sundar, S. S., Ge, J., & Rosson, M. B. (2016, May). User disbelief in privacy paradox: Heuristics that determine disclosure [Paper presentation]. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, San Jose, CA, USA (pp. 2837–2843). ACM. https://doi.org/https://doi.org/10.1145/2851581.2892413
   Google Scholar
• Hajli, N., & Lin, X. (2016). Exploring the security of information sharing on social networking sites: The role of perceived control of information. Journal of Business Ethics, 133(1), 111–123. https://doi.org/https://doi.org/10.1007/s10551-014-2346-x
   Web of Science ®Google Scholar
• Hoffmann, C. P., Lutz, C., & Meckel, M. (2015). Content creation on the Internet: A social cognitive perspective on the participation divide. Information, Communication and Society, 18(6), 696–716. https://doi.org/https://doi.org/10.1080/1369118X.2014.991343
   Web of Science ®Google Scholar
• Huete Alcocer, N., & López Ruiz, V. R. (2019). The role of destination image in tourist satisfaction: The case of a heritage site. Economic Research-Ekonomska Istraživanja, 33, 1–18.
   Google Scholar
• Kaur, M. J., & Maheshwari, P. (2016, March). Building smart cities applications using IoT and cloud-based architectures [Paper presentation]. 2016 International Conference on Industrial Informatics and Computer Systems (CIICS), Sharjah, United Arab Emirates (pp. 1–5). IEEE. https://doi.org/https://doi.org/10.1109/ICCSII.2016.7462433
   Google Scholar
• Khan, M., Woo, M., Nam, K., & Chathoth, P. (2017). Smart city and smart tourism: A case of Dubai. Sustainability, 9(12), 2279. https://doi.org/https://doi.org/10.3390/su9122279
   Web of Science ®Google Scholar
• Kim, J., Chang, Y., Chong, A. Y. L., & Park, M. C. (2019). Do perceived use contexts influence usage behaviour? An instrument development of perceived use context. Information and Management, 56(7), 103155.
   Web of Science ®Google Scholar
• Kokolakis, S. (2017). Privacy attitudes and privacy behaviour: A review of current research on the privacy paradox phenomenon. Computers & Security, 64, 122–134. https://doi.org/https://doi.org/10.1016/j.cose.2015.07.002
   Web of Science ®Google Scholar
• Kontogianni, A., & Alepis, E. (2020). Smart tourism: State of the art and literature review for the last six years. Array, 6, 100020. https://doi.org/https://doi.org/10.1016/j.array.2020.100020
   Google Scholar
• Lin, T. T., Paragas, F., & Bautista, J. R. (2016). Determinants of mobile consumers' perceived value of location-based advertising and user responses. International Journal of Mobile Communications, 14(2), 99–117.
   Google Scholar
• Liu, C., Marchewka, J. T., Lu, J., & Yu, C. S. (2005). Beyond concern—A privacy-trust-behavioural intention model of electronic commerce. Information & Management, 42(2), 289–304. https://doi.org/https://doi.org/10.1016/j.im.2004.01.003
   Web of Science ®Google Scholar
• Mallat, N., Rossi, M., Tuunainen, V. K., & Öörni, A. (2009). The impact of use context on mobile services acceptance: The case of mobile ticketing. Information & Management, 46(3), 190–195. https://doi.org/https://doi.org/10.1016/j.im.2008.11.008
   Web of Science ®Google Scholar
• Moorman, C., Deshpande, R., & Zaltman, G. (1993). Factors affecting trust in market research relationships. Journal of Marketing, 57(1), 81–101. https://doi.org/https://doi.org/10.1177/002224299305700106
   Web of Science ®Google Scholar
• Morgan-Thomas, A., & Veloutsou, C. (2013). Beyond technology acceptance: Brand relationships and online brand experience. Journal of Business Research, 66(1), 21–27. https://doi.org/https://doi.org/10.1016/j.jbusres.2011.07.019
   Web of Science ®Google Scholar
• Mosteller, J., & Poddar, A. (2017). To share and protect: Using regulatory focus theory to examine the privacy paradox of consumers' social media engagement and online privacy protection behaviours. Journal of Interactive Marketing, 39, 27–38. https://doi.org/https://doi.org/10.1016/j.intmar.2017.02.003
   Web of Science ®Google Scholar
• Neuhofer, B., Buhalis, D., & Ladkin, A. (2015). Smart technologies for personalized experiences: A case study in the hospitality domain. Electronic Markets, 25(3), 243–254. https://doi.org/https://doi.org/10.1007/s12525-015-0182-1
   Web of Science ®Google Scholar
• Ngelambong, A., Nor, N. M., Abdullah, D., & Kamal, S. B. M. (2018). Perceived privacy concern, affective relationship trust and relationship risk in airlines brand online community: The moderating role of perceived benefit and risk-taking behaviour. International Journal of Academic Research in Business and Social Sciences, 8(15), 68–81.
   Google Scholar
• Okazaki, S., Navarro-Bailón, M. Á., & Molina-Castillo, F. J. (2012). Privacy concerns in quick response code mobile promotion: The role of social anxiety and situational involvement. International Journal of Electronic Commerce, 16(4), 91–120. https://doi.org/https://doi.org/10.2753/JEC1086-4415160404
   Web of Science ®Google Scholar
• Ooi, K. B., Hew, J. J., & Lin, B. (2018). Unfolding the privacy paradox among mobile social commerce users: A multi-mediation approach. Behaviour & Information Technology, 37(6), 575–595. https://doi.org/https://doi.org/10.1080/0144929X.2018.1465997
   Web of Science ®Google Scholar
• Ozturk, A. B. (2016). Customer acceptance of cashless payment systems in the hospitality industry. International Journal of Contemporary Hospitality Management, 28(4), 801–817. https://doi.org/https://doi.org/10.1108/IJCHM-02-2015-0073
   Web of Science ®Google Scholar
• Ozturk, A. B., Nusair, K., Okumus, F., & Singh, D. (2017). Understanding mobile hotel booking loyalty: An integration of privacy calculus theory and trust-risk framework. Information Systems Frontiers, 19(4), 753–767. https://doi.org/https://doi.org/10.1007/s10796-017-9736-4
   Web of Science ®Google Scholar
• Pavlou, P. A., & Gefen, D. (2004). Building effective online marketplaces with institution-based trust. Information systems research, 15(1), 37–59.
   Web of Science ®Google Scholar
• Phelps, J., Nowak, G., & Ferrell, E. (2000). Privacy concerns and consumer willingness to provide personal information. Journal of Public Policy & Marketing, 19(1), 27–41. https://doi.org/https://doi.org/10.1509/jppm.19.1.27.16941
   Web of Science ®Google Scholar
• Pradhan, M., Oh, J., & Lee, H. (2018). Understanding travelers' behaviour for sustainable smart tourism: A technology readiness perspective. Sustainability, 10(11), 4259. https://doi.org/https://doi.org/10.3390/su10114259
   Web of Science ®Google Scholar
• Rana, N. P., & Dwivedi, Y. K. (2015). Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT). Government Information Quarterly, 32(2), 172–181. https://doi.org/https://doi.org/10.1016/j.giq.2015.02.002
   Web of Science ®Google Scholar
• Sample Size Calculator. (2019). Retrieved October 1, 2019, from http://www.surveysystem.com/sscalc.htm
   Google Scholar
• Sedarati, P., & Baktash, A. (2017). Adoption of smart glasses in smart tourism destination: A system thinking approach. Travel and Tourism Research Association: Advancing Tourism Research Globally 2017 ttra International Conference.
   Google Scholar
• Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: Measuring individuals' concerns about organizational practices. MIS Quarterly, 20(2), 167–196. https://doi.org/https://doi.org/10.2307/249477
   Web of Science ®Google Scholar
• Son, J. Y., & Kim, S. S. (2008). Internet users' information privacy-protective responses: A taxonomy and a nomological model. MIS Quarterly, 32(3), 503–529. https://doi.org/https://doi.org/10.2307/25148854
   Web of Science ®Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2014). Using multivariate statistics (New international ed.). Pearson.
   Google Scholar
• Taylor, D. G., Davis, D. F., & Jillapalli, R. (2009). Privacy concern and online personalization: The moderating effects of information control and compensation. Electronic Commerce Research, 9(3), 203–223. https://doi.org/https://doi.org/10.1007/s10660-009-9036-2
   Web of Science ®Google Scholar
• Van de Wijngaert, L., & Bouwman, H. (2009). Would you share? Predicting the potential use of a new technology. Telematics and Informatics, 26(1), 85–102. https://doi.org/https://doi.org/10.1016/j.tele.2008.01.002
   Google Scholar
• Wang, D., Xiang, Z., & Fesenmaier, D. R. (2014). Adapting to the mobile world: A model of smartphone use. Annals of Tourism Research, 48, 11–26. https://doi.org/https://doi.org/10.1016/j.annals.2014.04.008
   Web of Science ®Google Scholar
• Wang, E. S. T., & Lin, R. L. (2017). Perceived quality factors of location-based apps on trust, perceived privacy risk, and continuous usage intention. Behaviour and Information Technology, 36(1), 2–10.
   Web of Science ®Google Scholar
• Wang, J., Xie, C., Huang, Q., & Morrison, A. M. (2020). Smart tourism destination experiences: The mediating impact of arousal levels. Tourism Management Perspectives, 35, 100707. https://doi.org/https://doi.org/10.1016/j.tmp.2020.100707
   Web of Science ®Google Scholar
• Xu, H., Luo, X. R., Carroll, J. M., & Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42–52. https://doi.org/https://doi.org/10.1016/j.dss.2010.11.017
   Web of Science ®Google Scholar
• Yang, J., He, J., & Gu, Y. (2012). The implicit measurement of destination image: The application of Implicit Association Tests. Tourism Management, 33(1), 50–52.
   Web of Science ®Google Scholar
• Zhou, T. (2012). Examining location-based services usage from the perspectives of unified theory of acceptance and use of technology and privacy risk. Journal of Electronic Commerce Research, 13(2), 135.
   Web of Science ®Google Scholar
• Zhou, T. (2016). Understanding location-based services continuance: An IS success model perspective. International Journal of Mobile Communications, 14(6), 553–567. https://doi.org/https://doi.org/10.1504/IJMC.2016.079300
   Web of Science ®Google Scholar
• Zhou, T., & Li, H. (2014). Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern. Computers in Human Behavior, 37, 283–289. https://doi.org/https://doi.org/10.1016/j.chb.2014.05.008
   Web of Science ®Google Scholar