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Cited by 60Customer Service Quality and LoyaltySharing Economy and PlatformsDiverse Aspects of Tourism Research

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How self-gratification and social values shape revisit intention and customer loyalty of Airbnb customers

Tajeddini, Kayhan, Gamage, Thilini Chathurika, Hameed, Waseem Ul, Qumsieh-Mussalam, Gretel, Chaijani, Milad Hooshmand, Rasoolimanesh, S. Mostafa, Kallmuenzer, Andreas·2022·International Journal of Hospitality Management
DOI 10.1016/j.ijhm.2021.103093
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  1. Aguirre-Urreta, 2018, Statistical inference with PLSc using bootstrap confidence intervals, MIS Q., 42, 1001, 10.25300/MISQ/2018/13587 · DOI
  2. Ahn, 2020, Green hotel brands in Malaysia: perceived value, cost, anticipated emotion, and revisit intention, Curr. Issues Tour., 23, 1559, 10.1080/13683500.2019.1646715 · DOI
  3. Airbnb, 2021. Fast Facts. 〈https://press.airbnb.com/fast-facts/〉. (Accessed 29 June 2021).
  4. Al-Debei, 2015, Consumer attitudes towards online shopping: the effects of trust, perceived benefits, and perceived web quality, Internet Res., 25, 707, 10.1108/IntR-05-2014-0146 · DOI
  5. Ali, 2018, An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research, Int. J. Contemp. Hosp. Manag., 30, 514, 10.1108/IJCHM-10-2016-0568 · DOI
  6. Amaro, 2019, Millenials’ intentions to book on Airbnb, Curr. Issues Tour., 22, 2284, 10.1080/13683500.2018.1448368 · DOI
  7. An, 2019, Examining structural relationships among service quality, perceived value, satisfaction and revisit intention for airbnb guests, Int. J. Tour. Sci., 19, 1
  8. Andreu, 2020, Airbnb research: an analysis in tourism and hospitality journals, Int. J. Cult. Tour. Hosp. Res., 14, 2, 10.1108/IJCTHR-06-2019-0113 · DOI
  9. Anisimova, 2007, The effects of corporate brand attributes on attitudinal and behavioural consumer loyalty, J. Consum. Mark., 24, 395, 10.1108/07363760710834816 · DOI
  10. Arbelo, 2020, Heterogeneity of resources and performancein the hotel industry, J. Hosp. Tour. Res., 45, 68, 10.1177/1096348020944450 · DOI
  11. Armstrong, 1977, Estimating nonresponse bias in mail surveys, J. Mark. Res., 14, 396, 10.1177/002224377701400320 · DOI · Paper page
  12. Aruan, 2019, Factors influencing travelers’ behavioral intentions to use P2P accommodation based on trading activity: Airbnb vs Couchsurfing, Int. J. Cult. Tour. Hosp. Res., 13, 487, 10.1108/IJCTHR-03-2019-0047 · DOI
  13. Assaker, 2013, Moderating effects of tourists’ novelty-seeking tendencies on destination image, visitor satisfaction, and short-and long-term revisit intentions, J. Travel Res., 52, 600, 10.1177/0047287513478497 · DOI
  14. Auh, 2005, Balancing exploration and ex-ploitation: the moderating role of competitive intensity, J. Bus. Res., 58, 1652, 10.1016/j.jbusres.2004.11.007 · DOI
  15. Aulia, 2016, A review: customer perceived value and it dimensions, Asian J. Soc. Sci. Manag. Stud., 3, 150
  16. Babin, 1994, Work and/or fun: measuring hedonic and utilitarian shopping value, J. Consum. Res., 20, 644, 10.1086/209376 · DOI · Paper page
  17. Benoit, 2017, A triadic framework for collaborative consumption (CC): motives, activities and resources & capabilities of actors, J. Bus. Res., 79, 219, 10.1016/j.jbusres.2017.05.004 · DOI · Paper page
  18. Boguszewicz-Kreft, 2020, The theory of planned behaviour in medical tourism: international comparison in the young consumer segment, Int. J. Environ. Res. Public Health, 17, 1626, 10.3390/ijerph17051626 · DOI
  19. Bonfanti, 2021, The impact of the Covid-19 pandemic on customer experience design: the hotel managers’ perspective, Int. J. Hosp. Manag., 94, 10.1016/j.ijhm.2021.102871 · DOI
  20. Bresciani, 2021, The seven lives of Airbnb. The role of accommodation types, Ann. Tour. Res., 88, 10.1016/j.annals.2021.103170 · DOI
  21. Busser, 2018, Co-created value: multidimensional scale and nomological network, Tour. Manag., 65, 69, 10.1016/j.tourman.2017.09.014 · DOI
  22. Chahal, 2010, Confirmatory study on brand equity and brand loyalty: a speciallook at the impact of attitudinal and behavioural loyalty, Vis. J. Bus. Perspect., 14, 1
  23. Chang, 2012, Reviewing and conceptualising customer-perceived value, Mark. Rev., 12, 253, 10.1362/146934712X13420906885395 · DOI
  24. Chatterjee, 2019, Airbnb in India: comparison with hotels, and factors affecting purchase intentions, Int. J. Cult. Tour. Hosp. Res., 13, 430, 10.1108/IJCTHR-05-2019-0085 · DOI
  25. Chen, 2019, Chinese educational migration: evidence from UK service industry, J. Enterp. Communities People Places Glob. Econ., 13, 196
  26. Chen, 2017, Consumer valuation of Airbnb listings: a hedonic pricing approach, Int. J. Contemp. Hosp. Manag., 29, 2405, 10.1108/IJCHM-10-2016-0606 · DOI
  27. Chen, 2003, A conceptual model of perceived customer value in e-commerce: a preliminary investigation, Psychol. Mark., 20, 323, 10.1002/mar.10076 · DOI
  28. Cheng, 2016, Sharing economy: a review and agenda for future research, Int. J. Hosp. Manag., 57, 60, 10.1016/j.ijhm.2016.06.003 · DOI · Paper page
  29. Cheng, 2020, An investigation into sharing economy enabled ride-sharing drivers’ trust: a qualitative study, Electron. Commer. Res. Appl., 40, 10.1016/j.elerap.2020.100956 · DOI
  30. Cheung, 2019, An extended model of value-attitude-behavior to explain Chinese consumers’ green purchase behavior, J. Retail. Consum. Serv., 50, 145, 10.1016/j.jretconser.2019.04.006 · DOI
  31. Chin, 1998, The partial least squares approach to structural equation modeling, Mod. Methods Bus. Res., 295, 295
  32. Chin, W.W., Marcolin, B.L., Newsted, P.R., 1996. A partial least squares latent variable modelling approach for measuring interaction effects: results from a Monte Carlo simulation study and voice mail emotion/adoption study. In: Proceedings of the Paper Presented at the 17th International Conference on Information Systems, Cleveland, OH.
  33. Chua, 2020, Factors influencing trust and behavioral intention to use Airbnb service innovation in three ASEAN countries, Asia Pac. J. Innov. Entrep., 14, 175
  34. Cronin, 2000, Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments, J. Retail., 76, 193, 10.1016/S0022-4359(00)00028-2 · DOI · Paper page
  35. Cui, 2019, Reducing discrimination with reviews in the sharing economy: evidence from field experiments on Airbnb, Manag. Sci., 66, 1071, 10.1287/mnsc.2018.3273 · DOI
  36. Davis, 1971, That’s interesting! Towards a phenomenology of sociology and a sociology of phenomenology, Philos. Soc. Sci., 1, 309, 10.1177/004839317100100211 · DOI · Paper page
  37. De Luca, 2018, Market knowledge dimensionsand cross-functional collaboration: examining the different routes toproduct innovation performance, J. Mark., 71, 95, 10.1509/jmkg.71.1.095 · DOI
  38. De Pelsmacker, 2018, Digital marketing strategies, online reviews and hotel performance, Int. J. Hosp. Manag., 72, 47, 10.1016/j.ijhm.2018.01.003 · DOI
  39. Ding, 2021, Exploring sources of satisfaction and dissatisfaction in airbnb accommodation using unsupervised and supervised topic modeling, Front. Psychol., 12, 10.3389/fpsyg.2021.659481 · DOI
  40. Dolnicar, 2020, COVID19 and Airbnb – disrupting the disruptor, Ann. Tour. Res., 83, 10.1016/j.annals.2020.102961 · DOI
  41. Donthu, 2020, Effects of COVID-19 on business and research, J. Bus. Res., 117, 284, 10.1016/j.jbusres.2020.06.008 · DOI · Paper page
  42. Eid, 2015, The role of Islamic religiosity on the relationship between perceived value and tourist satisfaction, Tour. Manag., 46, 477, 10.1016/j.tourman.2014.08.003 · DOI
  43. El-Adly, 2019, Modelling the relationship between hotel perceived value, customer satisfaction, and customer loyalty, J. Retail. Consum. Serv., 50, 322, 10.1016/j.jretconser.2018.07.007 · DOI · Paper page
  44. Faul, 2009, Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses, Behav. Res. Methods, 41, 1149, 10.3758/BRM.41.4.1149 · DOI · Paper page
  45. Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, J. Mark. Res., 18, 39, 10.1177/002224378101800104 · DOI · Paper page
  46. Frenken, 2019, Putting the sharing economy into perspective, Environ. Innov. Soc. Transit., 23, 3, 10.1016/j.eist.2017.01.003 · DOI · Paper page
  47. Gamage, 2021, Understanding social customer relationship management adoption: qualitative insights, J. Strateg. Mark., 1
  48. Gamage, 2021, Why Chinese travelers use WeChat to make hotel choice decisions: a uses and gratifications theory perspective, J. Glob. Sch. Mark. Sci., 1
  49. Giorgi, 1994, A phenomenological perspective on certain qualitative research methods, J. Phenomenol. Psychol., 25, 190, 10.1163/156916294X00034 · DOI
  50. Graham, 2020, Open kitchens: customers’ influence on chefs’ working practices, J. Hosp. Tour. Manag., 45, 27, 10.1016/j.jhtm.2020.07.011 · DOI
  51. Gürol, 2006, Entrepreneurial characteristics amongst university students: some insights for entrepreneurship education and training in Turkey, Educ. Train., 48, 25, 10.1108/00400910610645716 · DOI
  52. Guttentag, 2015, Airbnb: disruptive innovation and the rise of an informal tourism accommodation sector, Curr. Issues Tour., 18, 1192, 10.1080/13683500.2013.827159 · DOI
  53. Guttentag, 2017, Why tourists choose airbnb: a motivation-based segmentation study, J. Travel Res., 1
  54. Guttentag, 2017, Assessing Airbnb as a disruptive innovation relative to hotels: substitution and comparative performance expectations, Int. J. Hosp. Manag., 64, 1, 10.1016/j.ijhm.2017.02.003 · DOI
  55. Ha, 2004, Factors influencing consumer perceptions of brand trust online, J. Prod. Brand Manag., 13, 329, 10.1108/10610420410554412 · DOI
  56. Haenlein, 2004, A beginner’s guide to partialleast squares analysis, Underst. Stat., 3, 283, 10.1207/s15328031us0304_4 · DOI
  57. Hair, 2013, Partial least squares structural equation modeling: rigorous applications, better results and higher acceptance, Long Range Plan., 46, 1, 10.1016/j.lrp.2013.01.001 · DOI · Paper page
  58. Hair, 2014, Partial least squares structural equation modeling (PLS-SEM): an emerging tool in business research, Eur. Bus. Rev., 26, 106, 10.1108/EBR-10-2013-0128 · DOI · Paper page
  59. Hair, 2016, Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I–method, Eur. Bus. Rev., 28, 63, 10.1108/EBR-09-2015-0094 · DOI
  60. Hair, 2019, Rethinking some of the rethinking of partial least squares, Eur. J. Mark., 53, 566, 10.1108/EJM-10-2018-0665 · DOI · Paper page
  61. Hamari, 2015, The sharing economy: why people participate in collaborative consumption, J. Assoc. Inf. Sci. Technol., 67, 2047, 10.1002/asi.23552 · DOI · Paper page
  62. Han, 2019, Word-of-mouth, buying, and sacrifice intentions for eco-cruises: exploring the function of norm activation and value-attitude-behavior, Tour. Manag., 70, 430, 10.1016/j.tourman.2018.09.006 · DOI
  63. Hasan, 2020, Determining factors of tourists’ loyalty to beach tourism destinations: a structural model, Asia Pac. J. Mark. Logist., 32, 169, 10.1108/APJML-08-2018-0334 · DOI
  64. Hawkins, 2013, Attitudinal loyalty, behavioural loyalty and social media: an introspection, Mark. Rev., 13, 125, 10.1362/146934713X13699019904605 · DOI
  65. Hellström, 2002, The innovating self: exploring self among a group of technological innovators, J. Manag. Psychol., 17, 267, 10.1108/02683940210428083 · DOI
  66. Henseler, 2015, A new criterion for assessing discriminant validity in variance-based structural equation modeling, J. Acad. Mark. Sci., 43, 115, 10.1007/s11747-014-0403-8 · DOI · Paper page
  67. Homer, 1988, A structural equation test of the value-attitude behavior hierarchy, J. Personal. Soc. Psychol., 54, 638, 10.1037/0022-3514.54.4.638 · DOI
  68. Huang, 2020, Understanding the drivers of Airbnb discontinuance, Ann. Tour. Res., 80, 10.1016/j.annals.2019.102798 · DOI
  69. Jacobs, 2018, Green thinking but thoughtless buying? An empirical extension of the value-attitude-behaviour hierarchy in sustainable clothing, J. Clean. Prod., 203, 1155, 10.1016/j.jclepro.2018.07.320 · DOI · Paper page
  70. James, 1984, Estimating within-group inter-rater reliability with and without response bias, J. Appl. Psychol., 69, 85, 10.1037/0021-9010.69.1.85 · DOI · Paper page
  71. Ju, 2019, Exploring Airbnb service quality attributes and their asymmetric effects on customer satisfaction, Int. J. Hosp. Manag., 77, 342, 10.1016/j.ijhm.2018.07.014 · DOI
  72. Kallmuenzer, A, Tajeddini, K, Gamage, T.C., Lorenzo, D., Rojas, A., & Schallner, M.J.A. (2021). Family firm succession in tourism and hospitality: An ethnographic case study approach. Journal of Family Business Management, ahead-of-print(ahead-of-print). doi: 10.1108/JFBM-07-2021-0072. · DOI
  73. Kauv, 2020, Brand loyalty, brand trust, peer ınfluence and price sensitivity as ınfluencers in student computer purchase, J. Bus. Behav. Sci., 32, 131
  74. Keshavarz, 2019, A comparative study of outcome quality, perceived value, and loyalty in four-star and five-star hotels, Int. J. Tour. Cities, 5, 270, 10.1108/IJTC-07-2018-0048 · DOI
  75. Khattak, 2011, Travel by university students in Virginia: is this travel different from travel by the general population, Transp. Res. Rec. J. Transp. Res. Board, 2255, 137, 10.3141/2255-15 · DOI
  76. Khodabandeh, 2020, The importance of brands, commitment, and influencers on purchase intent in the context of online relationships, Australas. Mark. J. (AMJ)
  77. Khoo-Lattimore, 2019, The time has come: a systematic literature review of mixed methods research in tourism, Curr. Issues Tour., 22, 1531, 10.1080/13683500.2017.1406900 · DOI
  78. Kiatkawsin, 2017, An alternative interpretation of attitude and extension of the value–attitude–behavior hierarchy: the destination attributes of Chiang Mai, Thailand, Asia Pac. J. Tour. Res., 22, 481, 10.1080/10941665.2016.1276466 · DOI
  79. Kim, 2020, Attracted to or locked in? Explaining consumer loyalty toward Airbnb, Sustainability, 12, 2814, 10.3390/su12072814 · DOI
  80. Kim, 2019, Understanding key antecedents of consumer loyalty toward sharing-economy platforms: the case of Airbnb, Sustainability, 11, 5195, 10.3390/su11195195 · DOI
  81. Kock, 2012, Lateral collinearity in SEM, J. Assoc. Inf. Syst., 13, 546
  82. Kwok, 2020, The 7 Ps marketing mix of home-sharing services: miningtravelers’ online reviews on Airbnb, Int. J. Hosp. Manag., 90, 10.1016/j.ijhm.2020.102616 · DOI
  83. Lalicic, 2018, A model of tourists’ loyalty: The case of airbnb, Journal of Hospitality and Tourism Technology, 9, 80, 10.1108/JHTT-02-2017-0020 · DOI
  84. Lee, 2019, Does consumption of organic foods contribute to Korean consumers’subjective well-being?, Sustainability, 11, 5496, 10.3390/su11195496 · DOI
  85. Lee, 2018, The effect of hedonic and utilitarian values on satisfaction and loyalty of Airbnb users, Int. J. Contemp. Hosp. Manag., 30, 1332, 10.1108/IJCHM-09-2016-0504 · DOI
  86. Lee, 2021, Consumers’ perceptions of risks associated with the use of Airbnb before and during the COVID-19 pandemic, Int. Hosp. Rev.
  87. Leung, 2019, Framing the sharing economy: toward a sustainable ecosystem, Tour. Manag., 71, 44, 10.1016/j.tourman.2018.09.021 · DOI · Paper page
  88. Li, 2019, Competitive dynamics in the sharing economy: an analysis in the context of Airbnb and hotels, Manag. Sci., 38, 365
  89. Li, 2021, Hedonic consumption pathway vs. acquisition-transaction utility pathway: an empirical comparison of Airbnband hotels, Int. J. Hosp. Manag., 94, 10.1016/j.ijhm.2020.102844 · DOI
  90. Li, 2012, The effects of personal values on travel motivation and behavioral intention, J. Travel Res., 51, 473, 10.1177/0047287511418366 · DOI
  91. Liang, 2020, The snowball effect in online travel platforms: how does peer influence affect review posting decisions?, Ann. Tour. Res., 85, 10.1016/j.annals.2020.102876 · DOI
  92. Liang, 2018, IT-based entrepreneurship in sharing economy: the mediating role of value expectancy in micro-entrepreneur’s passion and persistence, Int. J. Inf. Syst. Chang. Manag., 10, 352
  93. Lin, 2019, Stakeholders’ views of travelers’ choice of Airbnb, J. Travel Tour. Mark., 36, 1037, 10.1080/10548408.2019.1687390 · DOI
  94. Lucas, 2005, Structured interviews, Perform. Improv., 44, 39, 10.1002/pfi.4140440810 · DOI
  95. MacKenzie, 1986, The role of attention in mediating the effect of advertising on attribute importance, J. Consum. Res., 13, 174, 10.1086/209059 · DOI
  96. Mao, 2017, Why travelers use Airbnb again? An integrative approach to understanding travelers’ repurchase intention, Int. J. Contemp. Hosp. Manag., 29, 2464, 10.1108/IJCHM-08-2016-0439 · DOI · Paper page
  97. Matzler, 2019, The effect of price on word of mouth: first time versus heavy repeat visitors, Tour. Manag., 70, 453, 10.1016/j.tourman.2018.09.013 · DOI
  98. Maxham, 2001, Service recovery’s influence on consumer satisfaction, positive word-of-mouth, and purchase intentions, J. Bus. Res., 54, 11, 10.1016/S0148-2963(00)00114-4 · DOI
  99. Meilatinova, 2021, Social commerce: factors affecting customer repurchase and word-of-mouth intentions, Int. J. Inf. Manag., 57
  100. Meng, 2020, The role of co-creation experience in forming tourists’revisit intention tohome-based accommodation: extending the theory of planned behavior, Tour. Manag., 33
  101. Merkel, 2021, Can the netflix business model actually work for commercial aviation in central europe? It is complicated!, J. Hosp. Tour. Cases, 9
  102. Milfont, 2016, Values stability and change in adulthood: a three-year longitudinal study of rank-order stability and mean-level differences, Personal. Soc. Psychol. Bull., 42, 572, 10.1177/0146167216639245 · DOI
  103. Mody, 2020, Consumption authenticity in the accommodations industry: the keys to brand love and brand loyalty for hotels and Airbnb, J. Travel Res., 59, 173, 10.1177/0047287519826233 · DOI · Paper page
  104. Moital, 2009, Determinants of intention to purchase over the internet, Anatolia, 20, 345, 10.1080/13032917.2009.10518913 · DOI
  105. Montabon, 2018, Setting standards for single respondent survey design, J. Supply Chain Manag., 54, 35, 10.1111/jscm.12158 · DOI
  106. Moon, 2018, Peer-to-peer interactions: perspectives of Airbnb guests and hosts, Int. J. Hosp. Manag., 77, 405, 10.1016/j.ijhm.2018.08.004 · DOI
  107. Mussalam, 2016, Tourism in Switzerland: how perceptions of place attributes for short and long holiday can influence destination choice, J. Hosp. Tour. Manag., 26, 18, 10.1016/j.jhtm.2015.09.003 · DOI
  108. Nguyen, 2019, Organic food purchases in an emerging market: the influence of consumers’ personal factors and green marketing practices of food stores, Int. J. Environ. Res. Public Health, 16, 1037, 10.3390/ijerph16061037 · DOI
  109. Oriade, 2019, An examination of the role of service quality and perceived value invisitor attraction experience, J. Destin. Mark. Manag., 11, 1
  110. Pham, 2020, Technology readiness and purchase intention: role of perceived value and online satisfaction in the context of luxury hotels, Int. J. Manag. Decis. Mak., 19, 91
  111. Priporas, 2017, Unraveling the diverse nature of service quality in a sharing economy: a social exchange theory perspective of Airbnb accommodation, Int. J. Contemp. Hosp. Manag., 29, 2279, 10.1108/IJCHM-08-2016-0420 · DOI · Paper page
  112. Pugnetti, 2018, Customer preferences and implicit tradeoffs in accident scenarios for self-driving vehicle algorithms, J. Risk Financ. Manag., 11, 28, 10.3390/jrfm11020028 · DOI
  113. Rahman, 2019, The influence of values and attitudes on green consumer behavior: a conceptual model of green hotel patronage, Int. J. Hosp. Tour. Adm., 20, 47
  114. Ren, 2018, Investigating accommodation experience in budget hotels, Int. J. Contemp. Hosp. Manag., 30, 2662, 10.1108/IJCHM-11-2016-0625 · DOI
  115. Ruan, 2020, Perceived host-guest sociability similarity and participants’ satisfaction: perspectives of Airbnb guests and hosts, J. Hosp. Tour. Manag., 45, 419, 10.1016/j.jhtm.2020.09.009 · DOI
  116. Sainaghi, 2020, Substitution threat between Airbnb and hotels: myth or reality?”, Ann. Tour. Res., 83, 10.1016/j.annals.2020.102959 · DOI
  117. Sarstedt, 2016, Estimation issues with PLS and CBSEM: where the bias lies!, J. Bus. Res., 69, 3998, 10.1016/j.jbusres.2016.06.007 · DOI
  118. Schivinski, 2020, Social media brand engagement in the context of collaborative consumption: the case of AIRBNB, J. Brand Manag., 27, 645, 10.1057/s41262-020-00207-5 · DOI
  119. Schwartz, 1977, Normative influences on Altruism, 10, 221, 10.1016/S0065-2601(08)60358-5 · DOI · Paper page
  120. Shin, 2017, The effect of environmental values and attitudes 1183 on consumer willingness to pay more for organic menus: a value-attitude-behavior approach, J. Hosp. Tour. Manag., 33, 113, 10.1016/j.jhtm.2017.10.010 · DOI
  121. Shoemaker, 1999, Customer loyalty: the future of hospitality marketing, Int. J. Hosp. Manag., 18, 345, 10.1016/S0278-4319(99)00042-0 · DOI
  122. So, 2018, Motivations and constraints of Airbnb consumers: findings from a mixed-methods approach, Tour. Manag., 67, 224, 10.1016/j.tourman.2018.01.009 · DOI
  123. So, 2016, The role of customer engagement in building brand loyalty to tourism brands, Journal of Travel Research, 55, 64, 10.1177/0047287514541008 · DOI
  124. Sörbom, 1974, A general method for studying differences in factors means and factor structure between groups, Br. J. Math. Stat. Psychol., 27, 229, 10.1111/j.2044-8317.1974.tb00543.x · DOI
  125. Spiggle, 1994, Analysis and interpretation of qualitative data in consumer research, J. Consum. Res., 21, 491, 10.1086/209413 · DOI
  126. Steenkamp, 1998, Assessing measurement invariance in cross-national consumer research, J. Consum. Res., 25, 78, 10.1086/209528 · DOI
  127. Sthapit, 2019, Sources of value co-destruction: uber customer perspectives, Tour. Rev., 74, 780, 10.1108/TR-12-2018-0176 · DOI
  128. Stollery, 2017, The antecedents of perceived value in the Airbnb context, Asia Pac. J. Innov. Entrep., 11, 391
  129. Stors, 2015, Motives for using Airbnb in metropolitan tourism – why do people sleep in the bed of a stranger?, Reg. Mag., 299, 17
  130. Tajeddini, 2017, Female tourism entrepreneurs in Bali, Indonesia, J. Hosp. Tour. Manag., 31, 52, 10.1016/j.jhtm.2016.10.004 · DOI
  131. Tajeddini, 2011, Market orientation and business performance: Evidence from the hotel industry in germany, International Journal of Leisure and Tourism Marketing, 2, 224, 10.1504/IJLTM.2011.042288 · DOI
  132. Tajeddini, 2021, Exploring the visitors’ decision-making process for Airbnb and hotel accommodations using value-attitude-behavior and theory of planned behavior, Int. J. Hosp. Manag., 96, 10.1016/j.ijhm.2021.102950 · DOI
  133. Tajeddini, 2015, Using the integration of disparate antecedents to drive world-class innovation performance: An empirical investigation of swiss watch manufacturing firms, Tékhne, 13, 34, 10.1016/j.tekhne.2015.09.001 · DOI
  134. Taylor, 1968, The development of interpersonal relationships: social penetration process, J. Soc. Psychol., 75, 75, 10.1080/00224545.1968.9712476 · DOI
  135. Taylor, 1995, Decomposition and crossovereffects in the theory of planned behavior: a study of consumer adoption intentions, Int. J. Res. Mark., 12, 137, 10.1016/0167-8116(94)00019-K · DOI
  136. Teng, 2018, Drivers of consumers’ behavioral intention toward green hotels, Int. J. Contemp. Hosp. Manag., 30, 1134, 10.1108/IJCHM-04-2017-0203 · DOI
  137. Tussyadiah, 2016, Impacts of peer-to-peer accommodation use on travel patterns, J. Travel Res., 55, 1022, 10.1177/0047287515608505 · DOI
  138. Tussyadiah, I.P., Zach, F., 2015. Hotels vs. peer-to-peer accommodation rentals: text analytics of consumer reviews in Portland, Oregon. In: Proceedings of the 2015 TTRA Conference, Portland, OR. · DOI
  139. Uslu, 2018, Touristic destinations’ perceived risk and perceived value as indicators of e-WOM and revisit intentions, Int. J. Contemp. Econ. Adm. Sci., 8, 37
  140. Varkaris, 2017, The influence of social media on the consumers’ hotel decision journey, J. Hosp. Tour. Technol., 8, 101
  141. Wang, 2017, Price determinants of sharing economy based accommodation rental: a study of listings from 33 cities on Airbnb.com, Int. J. Hosp. Manag., 62, 120, 10.1016/j.ijhm.2016.12.007 · DOI
  142. Wong, 2013, Partial least squares structural equation modeling (pls-sem) techniques using smartpls, Mark. Bull., 23, 1
  143. Woodruff, 1997, Customer value: the next source forcompetitive advantage, J. Acad. Mark. Sci., 25, 139, 10.1007/BF02894350 · DOI
  144. Wu, 2018, Social value and online social shopping intention: the moderating role of experience, Inf. Technol. People, 31, 688, 10.1108/ITP-10-2016-0236 · DOI · Paper page
  145. Xie, 2019, Are consumers loyal to home-sharing services? Impacts of host attributes and frequency of past stays, Int. J. Contemp. Hosp. Manag., 31, 1066, 10.1108/IJCHM-09-2017-0552 · DOI
  146. Xu, 2017, Business intelligence in online customer textual reviews: understanding consumer perceptions and influential factors, Int. J. Inf. Manag., 37, 673
  147. Xu, 2020, What drives consumer shopping behavior in live streaming commerce?, J. Electron. Commer. Res., 21, 144
  148. Yang, 2016, Impact of motivation for participation in the sharing economy and perceived security on attitude and loyalty toward Airbnb, Information, 19, 5745
  149. Yang, 2019, Antecedents and consequences of home-sharing stays: evidence from a nationwide household tourism survey, Tour. Manag., 70, 12, 10.1016/j.tourman.2018.06.004 · DOI
  150. Zeithaml, 1988, Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence, J. Mark., 52, 2, 10.1177/002224298805200302 · DOI · Paper page
  151. Zhang, 2018, Value co-creation in a sharing economy: the end of price wars?, Int. J. Hosp. Manag., 71, 51, 10.1016/j.ijhm.2017.11.010 · DOI
  152. Zhu, 2017, Inside the sharing economy: understanding consumer motivations behind the adoption of mobile applications, Int. J. Contemp. Hosp. Manag., 29, 2218, 10.1108/IJCHM-09-2016-0496 · DOI · Paper page

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Metadata

Authors
Tajeddini, K., Gamage, T. C., Hameed, W. U., Qumsieh-Mussalam, G., Chaijani, M. H., Rasoolimanesh, S. M., & Kallmuenzer, A.
Affiliations
  • Sheffield Hallam University (GB)
  • Sabaragamuwa University of Sri Lanka (LK)
  • Islamia University of Bahawalpur (PK)
  • Les Roches International School of Hotel Management (CH)
  • University of Guilan (IR)
  • Taylor's University (MY)
  • Excelia Business School (FR)
Corresponding author
Tajeddini, Kayhan
ORCID
Venue
International Journal of Hospitality Management
Publisher
Elsevier BV
Published
2022-01
Volume
100
Pages
103093
ISSN
0278-4319 (ISSN-L)
DOI
10.1016/j.ijhm.2021.103093
OpenAlex
W3210474136
Cited by
60
References
9
Citations by year
2026: 6 · 2025: 8 · 2024: 20 · 2023: 16 · 2022: 10
FWCI
11.16
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • International Journal of Hospitality Management (publishedVersion)
  • SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) (acceptedVersion)
Funders
Japan Society for the Promotion of Science (21K12460)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
  • Social Sciences › Business, Management and Accounting › Marketing › Sharing Economy and Platforms
  • Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Diverse Aspects of Tourism Research
Keywords
Airbnb, self-gratification, social values, revisit intention, customer loyalty, perceived value, short-term rental platforms

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