Intelligent technologies and applications in Smart Tourism—A systematic review

Chi Fai Si-Tou

Article ID: 2643
Vol 5, Issue 1, 2024
DOI: https://doi.org/10.54517/st.v5i1.2643
VIEWS - 145 (Abstract)

Abstract

Smart tourism has used information technology with the infrastructure environments built for all kinds of tourism services that provide advantages for tourists, service providers, technology companies or the city itself. Due to the popularity of mobile technologies and applications, smart tourism undoubtedly changes consumers’ and providers’ behavior. The purpose of this study is to provide a systematic literature review of academic research related to information technology, computer science, mobile technologies and applications in smart tourism published between 2017 and 2019. Published articles are gathered from online search engines “Google Scholar”, “ScienceDirect” and “EBSCOHOST”. According to a keyword-driven search and content analysis, 142 articles have been chosen for examination in this research. Selected publications are collected and analyzed according to the proposed research questions, methodology, topics, technology focus, sub-themes and future trends that are thematically classified into three main categories: consumer perspective, technological perspective and provider perspective. The findings provide to an overall understanding of the most recent research into information technology, computer science, mobile technologies and applications in smart tourism by demonstrating the main results, methods, future trends and other insights of relevant publications. This study provides a systematic review of the most current published academic research from 2017 to 2019 on information technology, computer science, mobile technologies and applications in smart tourism. The results of this study construct an agenda for future research in tourism and hospitality industry by identifying major future trends and developments in smart tourism.


Keywords

technology; smart tourism; consumers, mobile technologies; mobile applications; providers

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References

1. Kim HH, Law R. Smartphones in Tourism and Hospitality Marketing: A Literature Review. Journal of Travel & Tourism Marketing. 2015; 32(6): 692-711. doi: 10.1080/10548408.2014.943458

2. Gretzel U, Reino S, Kopera S, et al. Smart tourism challenges. Journal of Tourism. 2015;.16(1): 41-47.

3. Goeldner CR, Ritchie JB. Tourism: Principles, Practices, Philosophies, 12th Edition. John Wiley & Sons. 2012.

4. Stienmetz JL, Levy SE, Boo S. Factors Influencing the Usability of Mobile Destination Management Organization Websites. Journal of Travel Research. 2012; 52(4): 453-464. doi: 10.1177/0047287512467698

5. Storey MA, Singer L, Cleary B, et al. The (R) Evolution of social media in software engineering. Future of Software Engineering Proceedings. Published online May 31, 2014. doi: 10.1145/2593882.2593887

6. Niroshinie, M. A. C., Suzuki, T., & Sasaki, J. (2013). Numerical modeling of bed profile evolution using large eddy simulation. Journal of Coastal Research, (65), 350-355.

7. Erevelles S, Fukawa N, Swayne L. Big Data consumer analytics and the transformation of marketing. Journal of Business Research. 2016; 69(2): 897-904. doi: 10.1016/j.jbusres.2015.07.001

8. Gretzel U, Koo C, Sigala M, et al. Special issue on smart tourism: convergence of information technologies, experiences, and theories. Electronic Markets. 2015; 25(3): 175-177. doi: 10.1007/s12525-015-0194-x

9. Liang S, Schuckert M, Law R, et al. The relevance of mobile tourism and information technology: an analysis of recent trends and future research directions. Journal of Travel & Tourism Marketing. 2016; 34(6): 732-748. doi: 10.1080/10548408.2016.1218403

10. Dorcic J, Komsic J, Markovic S. Mobile technologies and applications towards smart tourism – state of the art. Tourism Review. 2019; 74(1): 82-103. doi: 10.1108/tr-07-2017-0121

11. Bustard JRT, Bolan P, Devine A, et al. The emerging smart event experience: an interpretative phenomenological analysis. Tourism Review. 2019; 74(1): 116-128. doi: 10.1108/tr-10-2017-0156

12. Femenia-Serra F, Neuhofer B, Ivars-Baidal JA. Towards a conceptualisation of smart tourists and their role within the smart destination scenario. The Service Industries Journal. 2018; 39(2): 109-133. doi: 10.1080/02642069.2018.1508458

13. Garcia A, Linaza MT, Gutierrez A, et al. Gamified mobile experiences: smart technologies for tourism destinations. Tourism Review. 2019; 74(1): 30-49. doi: 10.1108/tr-08-2017-0131

14. Kim K, Park O, Barr J, et al. Tourists’ shifting perceptions of UNESCO heritage sites: lessons from Jeju Island-South Korea. Tourism Review. 2019; 74(1): 20-29. doi: 10.1108/tr-09-2017-0140

15. Lamest M, Brady M. Data-focused managerial challenges within the hotel sector. Tourism Review. 2019; 74(1): 104-115. doi: 10.1108/tr-03-2017-0064

16. Leung R. Smart hospitality: Taiwan hotel stakeholder perspectives. Tourism Review. 2019; 74(1): 50-62. doi: 10.1108/tr-09-2017-0149

17. Yuan Y, Tseng YH, Ho CI. Tourism information technology research trends: 1990-2016. Tourism Review. 2019; 74(1): 5-19. doi: 10.1108/tr-08-2017-0128

18. Staples M, Niazi M. Experiences using systematic review guidelines. Journal of Systems and Software. 2007; 80(9): 1425-1437. doi: 10.1016/j.jss.2006.09.046

19. Buhalis D, Law R. Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research. Tourism Management. 2008; 29(4): 609-623. doi: 10.1016/j.tourman.2008.01.005

20. Law R, Buhalis D, Cobanoglu C. Progress on information and communication technologies in hospitality and tourism. International Journal of Contemporary Hospitality Management. 2014; 26(5): 727-750. doi: 10.1108/ijchm-08-2013-0367

21. Sotiriadis MD. Sharing tourism experiences in social media. International Journal of Contemporary Hospitality Management. 2017; 29(1): 179-225. doi: 10.1108/ijchm-05-2016-0300

22. Jeon S, Qi J, Wang J. Do local consumers behave differently from visitors? An exploratory study in online group buying. Electronic Commerce Research and Applications. 2017; 25: 95-104. doi: 10.1016/j.elerap.2017.08.004

23. Rashidi TH, Abbasi A, Maghrebi M, et al. Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges. Transportation Research Part C: Emerging Technologies. 2017; 75: 197-211. doi: 10.1016/j.trc.2016.12.008

24. Maruyama T, Sato Y, Nohara K, et al. Increasing Smartphone-based Travel Survey Participants. Transportation Research Procedia. 2015; 11: 280-288. doi: 10.1016/j.trpro.2015.12.024

25. Bellini P, Cenni D, Nesi P, et al. Wi-Fi based city users’ behaviour analysis for smart city. Journal of Visual Languages & Computing. 2017; 42: 31-45. doi: 10.1016/j.jvlc.2017.08.005

26. Kim YL. Seoul's Wi-Fi hotspots: Wi-Fi access points as an indicator of urban vitality. Computers, Environment and Urban Systems. 2018; 72: 13-24.

27. Tan GWH, Lee VH, Lin B, et al. Mobile applications in tourism: the future of the tourism industry? Industrial Management & Data Systems. 2017; 117(3): 560-581. doi: 10.1108/imds-12-2015-0490

28. Kim SE, Lee KY, Shin SI, et al. Effects of tourism information quality in social media on destination image formation: The case of Sina Weibo. Information & Management. 2017; 54(6): 687-702. doi: 10.1016/j.im.2017.02.009

29. Julsrud TE, Denstadli JM. Smartphones, travel time-use, and attitudes to public transport services. Insights from an explorative study of urban dwellers in two Norwegian cities. International Journal of Sustainable Transportation. 2017; 11(8): 602-610. doi: 10.1080/15568318.2017.1292373

30. Chung N, Lee H, Kim JY, et al. The Role of Augmented Reality for Experience-Influenced Environments: The Case of Cultural Heritage Tourism in Korea. Journal of Travel Research. 2017; 57(5): 627-643. doi: 10.1177/0047287517708255

31. González-Reverté F, Díaz-Luque P, Gomis-López J, et al. Tourists’ Risk Perception and the Use of Mobile Devices in Beach Tourism Destinations. Sustainability. 2018; 10(2): 413. doi: 10.3390/su10020413

32. Yoo CW, Goo J, Huang CD, et al. Improving travel decision support satisfaction with smart tourism technologies: A framework of tourist elaboration likelihood and self-efficacy. Technological Forecasting and Social Change. 2017; 123: 330-341. doi: 10.1016/j.techfore.2016.10.071

33. Díaz-Meneses G. A multiphase trip, diversified digital and varied background approach to analysing and segmenting holidaymakers and their use of social media. Journal of Destination Marketing & Management. 2019; 11: 166-182. doi: 10.1016/j.jdmm.2017.07.005

34. Psomadaki OI, Dimoulas CA, Kalliris GM, et al. Digital storytelling and audience engagement in cultural heritage management: A collaborative model based on the Digital City of Thessaloniki. Journal of Cultural Heritage. 2019; 36: 12-22. doi: 10.1016/j.culher.2018.07.016

35. Li T, Chen Y. Will virtual reality be a double-edged sword? Exploring the moderation effects of the expected enjoyment of a destination on travel intention. Journal of Destination Marketing & Management. 2019; 12: 15-26. doi: 10.1016/j.jdmm.2019.02.003

36. Femenia-Serra F, Perles-Ribes JF, Ivars-Baidal JA. Smart destinations and tech-savvy millennial tourists: hype versus reality. Tourism Review. 2019; 74(1): 63-81. doi: 10.1108/tr-02-2018-0018

37. Ribeiro FR, Silva A, Barbosa F, et al. Mobile applications for accessible tourism: overview, challenges and a proposed platform. Information Technology & Tourism. 2018; 19(1-4): 29-59. doi: 10.1007/s40558-018-0110-2

38. Douglas A. Mobile business travel application usage. Journal of Hospitality and Tourism Technology. 2019; 10(3): 269-285. doi: 10.1108/jhtt-01-2018-0002

39. Wang W. The influence of perceived technological congruence of smartphone application and air travel experience on consumers’ attitudes toward price change and adoption. Journal of Hospitality and Tourism Technology. 2019; 10(2): 122-135. doi: 10.1108/jhtt-01-2018-0004

40. Esfahani SS, Bulent Ozturk A. The influence of individual differences on NFC-based mobile payment adoption in the restaurant industry. Journal of Hospitality and Tourism Technology. 2019; 10(2): 219-232. doi: 10.1108/jhtt-01-2018-0009

41. Rodriguez-Sanchez MC, Martinez-Romo J. GAWA – Manager for accessibility Wayfinding apps. International Journal of Information Management. 2017; 37(6): 505-519. doi: 10.1016/j.ijinfomgt.2017.05.011

42. Fotiadis AK, Stylos N. The effects of online social networking on retail consumer dynamics in the attractions industry: The case of ‘E-da’ theme park, Taiwan. Technological Forecasting and Social Change. 2017; 124: 283-294. doi: 10.1016/j.techfore.2016.06.033

43. Pronello C, Camusso C. Mobility styles and accessibility in northern italy: a focus on the city of torino. In: Proceedings of the 13th World Conference on Transportation Research. World Conference on Transport Research Society. 2013. pp. 10332-10356.

44. Fang J, Zhao Z, Wen C, et al. Design and performance attributes driving mobile travel application engagement. International Journal of Information Management. 2017; 37(4): 269-283. doi: 10.1016/j.ijinfomgt.2017.03.003

45. Dacko SG. Enabling smart retail settings via mobile augmented reality shopping apps. Technological Forecasting and Social Change. 2017; 124: 243-256. doi: 10.1016/j.techfore.2016.09.032

46. Vallespín M, Molinillo S, Muñoz-Leiva F. Segmentation and explanation of smartphone use for travel planning based on socio-demographic and behavioral variables. Industrial Management & Data Systems. 2017; 117(3): 605-619. doi: 10.1108/imds-03-2016-0089

47. Dickinson JE, Hibbert JF, Filimonau V, et al. Implementing smartphone enabled collaborative travel: Routes to success in the tourism domain. Journal of Transport Geography. 2017; 59: 100-110. doi: 10.1016/j.jtrangeo.2017.01.011

48. Jittrapirom P, Marchau V, van der Heijden R, et al. Future implementation of mobility as a service (MaaS): Results of an international Delphi study. Travel Behaviour and Society. 2020; 21: 281-294. doi: 10.1016/j.tbs.2018.12.004

49. Law R, Chan ICC, Wang L. A comprehensive review of mobile technology use in hospitality and tourism. Journal of Hospitality Marketing & Management. 2018; 27(6): 626-648. doi: 10.1080/19368623.2018.1423251

50. Huang CD, Goo J, Nam K, Yoo CW. Smart tourism technologies in travel planning: The role of exploration and exploitation. Information & Management. 2017; 54(6): 757-770.

51. Jeon HM, Ali F, Lee SW. Determinants of consumers’ intentions to use smartphones apps for flight ticket bookings. The Service Industries Journal. 2018; 39(5-6): 385-402. doi: 10.1080/02642069.2018.1437908

52. Hew JJ, Leong LY, Tan GWH, et al. Mobile social tourism shopping: A dual-stage analysis of a multi-mediation model. Tourism Management. 2018; 66: 121-139. doi: 10.1016/j.tourman.2017.10.005

53. Baabdullah AM, Alalwan AA, Rana NP, et al. Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management. 2019; 44: 38-52. doi: 10.1016/j.ijinfomgt.2018.09.002

54. Gough HA, Gough KV. Disrupted becomings: The role of smartphones in Syrian refugees’ physical and existential journeys. Geoforum. 2019; 105: 89-98. doi: 10.1016/j.geoforum.2019.05.012

55. Yi J, Du Y, Liang F, et al. Mapping human’s digital footprints on the Tibetan Plateau from multi-source geospatial big data. Science of The Total Environment. 2020; 711: 134540. doi: 10.1016/j.scitotenv.2019.134540

56. Zong W, Zhang J. Use of smartphone applications and its impacts on urban life: A survey and random forest analysis in Japan. Sustainable Cities and Society. 2019; 49: 101589. doi: 10.1016/j.scs.2019.101589

57. Im J, Hancer M. What Fosters Favorable Attitudes Toward Using Travel Mobile Applications? Journal of Hospitality Marketing & Management. 2016; 26(4): 361-377. doi: 10.1080/19368623.2017.1248805

58. Jovicic DZ. From the traditional understanding of tourism destination to the smart tourism destination. Current Issues in Tourism. 2019; 22(3): 276-282.

59. Komninos A, Besharat J, Ferreira D, et al. Where’s everybody? Comparing the use of heatmaps to uncover cities’ tacit social context in smartphones and pervasive displays. Information Technology & Tourism. 2017; 17(4): 399-427. doi: 10.1007/s40558-017-0092-5

60. Pradhan MK, Oh J, Lee H. Understanding travelers’ behavior for sustainable smart tourism: A technology readiness perspective. Sustainability. 2018; 10(11): 4259.

61. Liu J, Cho S, Putra ED. The moderating effect of self-efficacy and gender on work engagement for restaurant employees in the United States. International Journal of Contemporary Hospitality Management. 2017; 29(1): 624-642.

62. Huang CD, Goo J, Nam K, et al. Smart tourism technologies in travel planning: The role of exploration and exploitation. Information & Management. 2017; 54(6): 757-770. doi: 10.1016/j.im.2016.11.010

63. Tussyadiah IP, Wang D, Jung TH, et al. Virtual reality, presence, and attitude change: Empirical evidence from tourism. Tourism Management. 2018; 66: 140-154. doi: 10.1016/j.tourman.2017.12.003

64. Lalicic L, Weismayer C. Being passionate about the mobile while travelling. Current Issues in Tourism. 2016; 21(8): 950-963. doi: 10.1080/13683500.2016.1141179

65. Ayeh JK. Distracted gaze: Problematic use of mobile technologies in vacation contexts. Tourism Management Perspectives. 2018; 26: 31-38. doi: 10.1016/j.tmp.2018.01.002

66. Tussyadiah IP, Jung TH, tom Dieck MC. Embodiment of Wearable Augmented Reality Technology in Tourism Experiences. Journal of Travel Research. 2017; 57(5): 597-611. doi: 10.1177/0047287517709090

67. Quinlan Cutler S, Doherty S, Carmichael B. The experience sampling method: examining its use and potential in tourist experience research. Current Issues in Tourism. 2016; 21(9): 1052-1074. doi: 10.1080/13683500.2015.1131670

68. Lee H, Lee J, Chung N, et al. Tourists’ happiness: are there smart tourism technology effects? Asia Pacific Journal of Tourism Research. 2018; 23(5): 486-501. doi: 10.1080/10941665.2018.1468344

69. Yu X, Anaya GJ, Miao L, et al. The Impact of Smartphones on the Family Vacation Experience. Journal of Travel Research. 2017; 57(5): 579-596. doi: 10.1177/0047287517706263

70. Fan DXF, Buhalis D, Lin B. A tourist typology of online and face-to-face social contact: Destination immersion and tourism encapsulation/decapsulation. Annals of Tourism Research. 2019; 78: 102757. doi: 10.1016/j.annals.2019.102757

71. Adam I. Digital leisure engagement and concerns among inbound tourists in Ghana. Journal of Outdoor Recreation and Tourism. 2019; 26: 13–22. doi: 10.1016/j.jort.2019.03.001

72. Anthopoulos L. Smart utopia VS smart reality: Learning by experience from 10 smart city cases. Cities. 2017; 63: 128-148.

73. Flavián C, Ibáñez-Sánchez S, Orús C. The impact of virtual, augmented and mixed reality technologies on the customer experience. Journal of Business Research. 2019; 100: 547-560. doi: 10.1016/j.jbusres.2018.10.050

74. Soltani A, Allan A, Anh Nguyen H, et al. Bikesharing experience in the city of Adelaide: Insight from a preliminary study. Case Studies on Transport Policy. 2019; 7(2): 250-260. doi: 10.1016/j.cstp.2019.01.001

75. Sassi IB, Mellouli S, Yahia SB. Context-aware recommender systems in mobile environment: On the road of future research. Information Systems. 2017; 72: 27-61.

76. Stinson J. Re-creating Wilderness 2.0: Or getting back to work in a virtual nature. Geoforum. 2017; 79: 174-187. doi: 10.1016/j.geoforum.2016.09.002

77. Ivanov SH, Webster C, Berezina K. Adoption of robots and service automation by Tourism and Hospitality Companies. 2017; 27/28: 1501-1517.

78. Chen Y, Yang L, Zhang M, et al. Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets. International Journal of Medical Informatics. 2018; 116: 33-45. doi: 10.1016/j.ijmedinf.2018.04.008

79. Bonnel P, Munizaga MA. Transport survey methods - in the era of big data facing new and old challenges. Transportation Research Procedia. 2018; 32: 1-15. doi: 10.1016/j.trpro.2018.10.001

80. Kumar H, Singh MK, Gupta MP, et al. Moving towards smart cities: solutions that lead to the smart city transformation framework. Technological forecasting and social change. 2018; 153(C).

81. Makino H, Tamada K, Sakai K, Kamijo S. Solutions for urban traffic issues by ITS technologies. IATSS research, 2018; 42(2): 49-60.

82. Mohamed N, Al-Jaroodi J, Jawhar I, et al. Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change. 2018; 153. doi: 10.1016/j.techfore.2018.05.004

83. Caiati V, Rasouli S, Timmermans H. Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment. Transportation Research Part A: Policy and Practice. 2020; 131: 123-148. doi: 10.1016/j.tra.2019.09.029

84. Abbate T, Cesaroni F, Cinici MC, et al. Business models for developing smart cities. A fuzzy set qualitative comparative analysis of an IoT platform. Technological Forecasting and Social Change. 2019; 142: 183–193. doi: 10.1016/j.techfore.2018.07.031

85. Stankov U, Filimonau V, Slivar I. Calm ICT design in hotels: A critical review of applications and implications. International Journal of Hospitality Management. 2019; 82: 298-307. doi: 10.1016/j.ijhm.2018.10.012

86. Bubalo M, van Zanten BT, Verburg PH. Crowdsourcing geo-information on landscape perceptions and preferences: A review. Landscape and Urban Planning. 2019; 184: 101-111. doi: 10.1016/j.landurbplan.2019.01.001

87. Chang SKJ, Chen HY, Chen HC. Mobility as a service policy planning, deployments and trials in Taiwan. IATSS Research. 2019; 43(4): 210-218. doi: 10.1016/j.iatssr.2019.11.007

88. Bwambale A, Choudhury CF, Hess S. Modelling departure time choice using mobile phone data. Transportation research part A: policy and practice. 2019; 130: 424-439.

89. Liébana-Cabanillas F, Molinillo S, Ruiz-Montañez M. To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation. Technological Forecasting and Social Change. 2019; 139: 266-276. doi: 10.1016/j.techfore.2018.11.012

90. Pantano E, Vannucci V. Who is innovating? An exploratory research of digital technologies diffusion in retail industry. Journal of Retailing and Consumer Services. 2019; 49: 297-304.

91. Tao M, Nawaz MZ, Nawaz S, et al. Users’ acceptance of innovative mobile hotel booking trends: UK vs. PRC. Information Technology & Tourism. 2018; 20(1-4): 9-36. doi: 10.1007/s40558-018-0123-x

92. Sarmah B, Kamboj S, Rahman Z. Co-creation in hotel service innovation using smart phone apps: an empirical study. International Journal of Contemporary Hospitality Management. 2017; 29(10): 2647-2667. doi: 10.1108/ijchm-12-2015-0681

93. Koukopoulos Z, Koukopoulos D. Smart dissemination and exploitation mobile services for carnival events. Procedia Computer Science. 2017; 110: 24-31. doi: 10.1016/j.procs.2017.06.109

94. Bogicevic V, Bujisic M, Bilgihan A, et al. The impact of traveler-focused airport technology on traveler satisfaction. Technological Forecasting and Social Change. 2017; 123: 351-361. doi: 10.1016/j.techfore.2017.03.038

95. Kim MJ, Lee CK, Bonn M. Obtaining a better understanding about travel-related purchase intentions among senior users of mobile social network sites. International Journal of Information Management. 2017; 37(5): 484-496. doi: 10.1016/j.ijinfomgt.2017.04.006

96. Park S, Huang Y. Motivators and inhibitors in booking a hotel via smartphones. International Journal of Contemporary Hospitality Management. 2017; 29(1): 161-178. doi: 10.1108/ijchm-03-2015-0103

97. Yau HK, Tang HYH. Analyzing customer satisfaction in self-service technology adopted in airports. Journal of Marketing Analytics. 2018; 6: 6-18.

98. Wu HC, Cheng CC. What Drives Experiential Loyalty Toward Smart Restaurants? The Case Study of KFC in Beijing. Journal of Hospitality Marketing & Management. 2017; 27(2): 151-177. doi: 10.1080/19368623.2017.1344952

99. Witanto JN, Lim H, Atiquzzaman M. Smart government framework with geo-crowdsourcing and social media analysis. Future Generation Computer Systems. 2018; 89: 1-9. doi: 10.1016/j.future.2018.06.019

100. Del Vecchio P, Mele G, Ndou V, Secundo G. Creating value from social big data: Implications for smart tourism destinations. Information Processing & Management. 2018; 54(5): 847-860.

101. Koukoulis K, Koukopoulos D, Tzortzi K. Connecting the museum to the city environment from the visitor’s perspective. Applied Computing and Informatics. 2019; 18(3/4): 221-234.

102. Tussyadiah I, Miller G. Nudged by a robot: Responses to agency and feedback. Annals of Tourism Research. 2019; 78: 102752. doi: 10.1016/j.annals.2019.102752

103. Mounce R, Nelson JD. On the potential for one-way electric vehicle car-sharing in future mobility systems. Transportation Research Part A: Policy and Practice. 2019; 120: 17-30. doi: 10.1016/j.tra.2018.12.003

104. Zhang S. Public participation in the Geoweb era: Defining a typology for geo-participation in local governments. Cities. 2019; 85: 38-50. doi: 10.1016/j.cities.2018.12.004

105. Solanki AS, Patel C, Doshi N. Smart cities-A case study of Porto and Ahmedabad. Procedia Computer Science. 2019; 160: 718-722. doi: 10.1016/j.procs.2019.11.021

106. Williams RB, Slak-Valek N. Pokémon GO is serious leisure that increases the touristic engagement, physical activity and sense of happiness of players. Information Technology & Tourism. 2019; 21(4): 515-533. doi: 10.1007/s40558-019-00153-2

107. Lin S. Identifying the Critical Success Factors and an Optimal Solution for Mobile Technology Adoption in Travel Agencies. International Journal of Tourism Research. 2016; 19(2): 127-144. doi: 10.1002/jtr.2092

108. Sudhagar DP. IoT in restaurants: an exploratory understanding of customer perception and preferences of IoT in the Indian context. International Journal of Business Forecasting and Marketing Intelligence. 2019; 5(4): 401-411.

109. Karim A, Siddiqa A, Safdar Z, et al. Big data management in participatory sensing: Issues, trends and future directions. Future Generation Computer Systems. 2020; 107: 942-955. doi: 10.1016/j.future.2017.10.007

110. Meiliana, Irmanti D, Hidayat MR, et al. Mobile Smart Travelling Application For Indonesia Tourism. Procedia Computer Science. 2017; 116: 556-563. doi: 10.1016/j.procs.2017.10.059

111. Pramanik MI, Lau RYK, Demirkan H, et al. Smart health: Big data enabled health paradigm within smart cities. Expert Systems with Applications. 2017; 87: 370-383. doi: 10.1016/j.eswa.2017.06.027

112. Van Berkel N, Goncalves J, Hosio S, Kostakos V. Gamification of mobile experience sampling improves data quality and quantity. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2017; 1(3): 1-21.

113. Rehman MH ur, Liew CS, Wah TY, et al. Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions. Journal of Network and Computer Applications. 2017; 79: 1-24. doi: 10.1016/j.jnca.2016.11.031

114. Pantano E, Priporas CV, Stylos N. ‘You will like it!’ using open data to predict tourists’ response to a tourist attraction. Tourism Management. 2017; 60: 430-438. doi: 10.1016/j.tourman.2016.12.020

115. Ukpabi DC, Karjaluoto H. Consumers’ acceptance of information and communications technology in tourism: A review. Telematics and Informatics. 2017; 34(5): 618-644. doi: 10.1016/j.tele.2016.12.002

116. Li SCH, Robinson P, Oriade A. Destination marketing: The use of technology since the millennium. Journal of Destination Marketing & Management. 2017; 6(2): 95-102. doi: 10.1016/j.jdmm.2017.04.008

117. Yoo C, Kwon S, Na H, et al. Factors Affecting the Adoption of Gamified Smart Tourism Applications: An Integrative Approach. Sustainability. 2017; 9(12): 2162. doi: 10.3390/su9122162

118. Hew JJ, Tan GWH, Lin B, et al. Generating travel-related contents through mobile social tourism: Does privacy paradox persist? Telematics and Informatics. 2017; 34(7): 914-935. doi: 10.1016/j.tele.2017.04.001

119. Wang K, Yin H, Quan W, Min G. Enabling collaborative edge computing for software defined vehicular networks. IEEE network. 2018; 32(5): 112-117.

120. Aluri A. Mobile augmented reality (MAR) game as a travel guide: insights from Pokémon GO. Journal of Hospitality and Tourism Technology. 2017; 8(1): 55-72. doi: 10.1108/jhtt-12-2016-0087

121. Yung R, Khoo-Lattimore C. New realities: a systematic literature review on virtual reality and augmented reality in tourism research. Current Issues in Tourism. 2017; 22(17): 2056-2081. doi: 10.1080/13683500.2017.1417359

122. Al-Omari AH, Al-Marghirani, A. Smart Tourism Architectural Model. International Journal of Advanced Computer Science and Applications. 2017; 8(10): 76-81.

123. Xu F, Buhalis D, Weber J. Serious games and the gamification of tourism. Tourism Management. 2017; 60: 244-256. doi: 10.1016/j.tourman.2016.11.020

124. Korpilo S, Virtanen T, Lehvävirta S. Smartphone GPS tracking—Inexpensive and efficient data collection on recreational movement. Landscape and Urban Planning. 2017; 157: 608-617. doi: 10.1016/j.landurbplan.2016.08.005

125. Li Y, Hu C, Huang C, et al. The concept of smart tourism in the context of tourism information services. Tourism Management. 2017; 58: 293-300. doi: 10.1016/j.tourman.2016.03.014

126. Leung D, Law R, Van Hoof H, Buhalis D. Social media in tourism and hospitality: A literature review. Journal of travel & tourism marketing. 2013; 30(1-2): 3-22.

127. Shang D, Wu W. Understanding mobile shopping consumers’ continuance intention. Industrial Management & Data Systems. 2017; 117(1): 213-227. doi: 10.1108/imds-02-2016-0052

128. Logesh R, Subramaniyaswamy V, Vijayakumar V, et al. A hybrid quantum-induced swarm intelligence clustering for the urban trip recommendation in smart city. Future Generation Computer Systems. 2018; 83: 653-673. doi: 10.1016/j.future.2017.08.060

129. Sochor J, Arby H, Karlsson ICM, et al. A topological approach to Mobility as a Service: A proposed tool for understanding requirements and effects, and for aiding the integration of societal goals. Research in Transportation Business & Management. 2018; 27: 3-14. doi: 10.1016/j.rtbm.2018.12.003

130. Farshid M, Paschen J, Eriksson T, Kietzmann J. Go boldly!: Explore augmented reality (AR), virtual reality (VR), and mixed reality (MR) for business. Business horizons. 2018; 61(5): 657-663.

131. Alavi AH, Jiao P, Buttlar WG, et al. Internet of Things-enabled smart cities: State-of-the-art and future trends. Measurement. 2018; 129: 589-606. doi: 10.1016/j.measurement.2018.07.067

132. Boulaalam O, Aghoutane B, Ouadghiri DE, et al. Proposal of a Big data System Based on the Recommendation and Profiling Techniques for an Intelligent Management of Moroccan Tourism. Procedia Computer Science. 2018; 134: 346-351. doi: 10.1016/j.procs.2018.07.200

133. Jun SP, Yoo HS, Choi S. Ten years of research change using Google Trends: From the perspective of big data utilizations and applications. Technological Forecasting and Social Change. 2018; 130: 69-87. doi: 10.1016/j.techfore.2017.11.009

134. Litvin SW, Goldsmith RE, Pan B. A retrospective view of electronic word-of-mouth in hospitality and tourism management. International Journal of Contemporary Hospitality Management. 2018; 30(1): 313-325. doi: 10.1108/ijchm-08-2016-0461

135. tom Dieck MC, Jung TH, Rauschnabel PA. Determining visitor engagement through augmented reality at science festivals: An experience economy perspective. Computers in Human Behavior. 2018; 82: 44-53. doi: 10.1016/j.chb.2017.12.043

136. Tan GWH, Ooi KB. Gender and age: Do they really moderate mobile tourism shopping behavior? Telematics and Informatics. 2018; 35(6): 1617-1642. doi: 10.1016/j.tele.2018.04.009

137. Chopdar PKr, Korfiatis N, Sivakumar VJ, et al. Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology. Computers in Human Behavior. 2018; 86: 109-128. doi: 10.1016/j.chb.2018.04.017

138. Gadziński J. Perspectives of the use of smartphones in travel behaviour studies: Findings from a literature review and a pilot study. Transportation Research Part C: Emerging Technologies. 2018; 88: 74-86. doi: 10.1016/j.trc.2018.01.011

139. Nayyar A, Mahapatra B, Nhuong Le D, et al. Virtual Reality (VR) & Augmented Reality (AR) technologies for tourism and hospitality industry. International Journal of Engineering & Technology. 2018; 7(2.21): 156. doi: 10.14419/ijet.v7i2.21.11858

140. Gupta A, Dogra N, George B. What determines tourist adoption of smartphone apps? Journal of Hospitality and Tourism Technology. 2018; 9(1): 50-64. doi: 10.1108/jhtt-02-2017-0013

141. Habibzadeh H, Nussbaum BH, Anjomshoa F, et al. A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities. Sustainable Cities and Society. 2019; 50: 101660. doi: 10.1016/j.scs.2019.101660

142. Alic AS, Almeida J, Aloisio G, et al. BIGSEA: A Big Data analytics platform for public transportation information. Future Generation Computer Systems. 2019; 96: 243-269. doi: 10.1016/j.future.2019.02.011

143. McGhin T, Choo KKR, Liu CZ, et al. Blockchain in healthcare applications: Research challenges and opportunities. Journal of Network and Computer Applications. 2019; 135: 62-75. doi: 10.1016/j.jnca.2019.02.027

144. Kirova V, Vo Thanh T. Smartphone use during the leisure theme park visit experience: The role of contextual factors. Information & Management. 2019; 56(5): 742-753. doi: 10.1016/j.im.2018.11.008

145. Herz M, Rauschnabel PA. Understanding the diffusion of virtual reality glasses: The role of media, fashion and technology. Technological Forecasting and Social Change. 2019; 138: 228-242. doi: 10.1016/j.techfore.2018.09.008

146. Buhalis D, Leung R. Smart hospitality—Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management. 2018; 71: 41-50. doi: 10.1016/j.ijhm.2017.11.011

147. Jacobs L, Kabaseke C, Bwambale B, et al. The geo-observer network: A proof of concept on participatory sensing of disasters in a remote setting. Science of The Total Environment. 2019; 670: 245-261. doi: 10.1016/j.scitotenv.2019.03.177

148. Falcao RPQ, Ferreira JB, Carrazedo Marques da Costa Filho M. The influence of ubiquitous connectivity, trust, personality and generational effects on mobile tourism purchases. Information Technology & Tourism. 2019; 21(4): 483-514. doi: 10.1007/s40558-019-00154-1

149. Ivanov S, Gretzel U, Berezina K, et al. Progress on robotics in hospitality and tourism: a review of the literature. Journal of Hospitality and Tourism Technology. Published online May 13, 2019. doi: 10.1108/jhtt-08-2018-0087

150. Mehraliyev F, Choi Y, Köseoglu MA. Progress on smart tourism research. Journal of Hospitality and Tourism Technology. 2019; 10(4): 522-538. doi: 10.1108/jhtt-08-2018-0076

151. Wu SM, Chen TC, Wu YJ, Lytras M. Smart cities in Taiwan: A perspective on big data applications. Sustainability. 2018; 10(1): 106.

152. da Costa Liberato PM, Alén-González E, de Azevedo Liberato DFV. Digital Technology in a Smart Tourist Destination: The Case of Porto. Journal of Urban Technology. 2018; 25(1): 75-97. doi: 10.1080/10630732.2017.1413228

153. Jung TH, Lee H, Chung N, et al. Cross-cultural differences in adopting mobile augmented reality at cultural heritage tourism sites. International Journal of Contemporary Hospitality Management. 2018; 30(3): 1621-1645. doi: 10.1108/ijchm-02-2017-0084

154. Wang Z, He SY, Leung Y. Applying mobile phone data to travel behaviour research: A literature review. Travel Behaviour and Society. 2018; 11: 141-155. doi: 10.1016/j.tbs.2017.02.005

155. Wong SY, Ng KB, Soong MF. ID NO. UM 002 TOPIC: Transforming Co-Curricular Festival Activities with Augmented Reality (AR) Technology Mobile Application. University Carnival on E-Learning (IUCEL). 2018; 177.

156. Khan EA, Shambour MKY. An analytical study of mobile applications for Hajj and Umrah services. Applied Computing and Informatics. 2018; 14(1): 37-47. doi: 10.1016/j.aci.2017.05.004

157. Kosmopoulos D, Styliaras G. A survey on developing personalized content services in museums. Pervasive and Mobile Computing. 2018; 47: 54-77. doi: 10.1016/j.pmcj.2018.05.002

158. Lou L, Tian Z, Koh J. Tourist Satisfaction Enhancement Using Mobile QR Code Payment: An Empirical Investigation. Sustainability. 2017; 9(7): 1186. doi: 10.3390/su9071186

159. Khan M, Woo M, Nam K, et al. Smart City and Smart Tourism: A Case of Dubai. Sustainability. 2017; 9(12): 2279. doi: 10.3390/su9122279

160. Chen CC, Tsai JL. Determinants of behavioral intention to use the Personalized Location-based Mobile Tourism Application: An empirical study by integrating TAM with ISSM. Future Generation Computer Systems. 2019; 96: 628-638. doi: 10.1016/j.future.2017.02.028

161. Rauschnabel PA, Rossmann A, tom Dieck MC. An adoption framework for mobile augmented reality games: The case of Pokémon Go. Computers in Human Behavior. 2017; 76: 276-286. doi: 10.1016/j.chb.2017.07.030

162. Gao F, Ali MI, Curry E, et al. Automated discovery and integration of semantic urban data streams: The ACEIS middleware. Future Generation Computer Systems. 2017; 76: 561-581. doi: 10.1016/j.future.2017.03.002

163. Chen Y, Ardila-Gomez A, Frame G. Achieving energy savings by intelligent transportation systems investments in the context of smart cities. Transportation Research Part D: Transport and Environment. 2017; 54: 381-396. doi: 10.1016/j.trd.2017.06.008

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