Abstract
Tourism has been considerably impacted by technological advancements, in which smartphones have been key enablers of this transformation, offering convenience and flexibility for online platforms access anytime and anywhere for faster decision-making during a trip. We address this trend by devising and testing a comprehensive conceptual model for predicting travelers’ intentions of mobile tourism purchase. We extend the technology acceptance model (TAM) to include ubiquitous connectivity and trust, two constructs that have been shown to be relevant to both m-commerce and travel contexts. Additionally, we analyze personality traits as potential individual external variables. The results support most of the hypothesis of the proposed model, indicating that, in addition to the TAM constructs (perceived usefulness and perceived ease of use), perceived ubiquitous connectivity and trust, together with personality traits such as openness to experience and need for arousal, play a significant role in enhancing the explanation of travelers’ intentions to purchase tourism-related products and services through mobile. Differences in effects related to consumers’ generations (X and Y) are also discussed.
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11 November 2019
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References
Adams DA, Nelson RR, Todd PA (1992) Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Q 16(2):227–247
Ajzen I, Fishbein M (1977) Attitude-behavior relations: a theoretical analysis and review of empirical research. Psychol Bull 84(5):888–918
Amichai-Hamburger Y, Ben-Artzi E (2003) Loneliness and Internet use. Comput Hum Behav 19(1):71–80. https://doi.org/10.1016/S0747-5632(02)00014-6
Amiel T, Sargent SL (2004) Individual differences in internet usage motives. Comput Hum Behav 20(6):711–726. https://doi.org/10.1016/j.chb.2004.09.002
Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103(3):411–423
Augner C, Hacker GW (2012) Associations between problematic mobile phone use and psychological parameters in young adults. Int J Public Health 57(2):437–441. https://doi.org/10.1007/s00038-011-0234-z
Bala H, Venkatesh V (2008) Technology acceptance model 3 and a research agenda on interventions. Decis Sci 39(2):273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Barkhi R, Wallace L (2007) The impact of personality type on purchasing decisions in virtual stores. Inf Technol Manag 8(4):313–330. https://doi.org/10.1007/s10799-007-0021-y
Benckendorff P, Moscardo G, Pendergast D (2010) Getting to know the Y generation. In: Benckendorff P, Moscardo G, Pendergast D (eds) Tourism and Generation Y. CABI, Wallingford
Beranuy M, Oberst U, Carbonell X, Ander C (2009) Problematic Internet and mobile phone use and clinical symptoms in college students: the role of emotional intelligence. Comput Hum Behav 25(5):1182–1187. https://doi.org/10.1016/j.chb.2009.03.001
Bosnjak M, Galesic M, Tuten T (2007) Personality determinants of online shopping: explaining online purchase intentions using a hierarchical approach. J Bus Res 60(6):597–605. https://doi.org/10.1016/j.jbusres.2006.06.008
Brislin RW (1970) Back-translation for cross-cultural research. J Cross Cult Psychol 1(3):185–216
Bruner GC, Kumar A (2005) Explaining consumer acceptance of handheld internet devices. J Bus Res 58:553–558. https://doi.org/10.1016/j.jbusres.2003.08.002
Butt S, Phillips JG (2008) Personality and self reported mobile phone use. Comput Hum Behav 24(2):346–360. https://doi.org/10.1016/j.chb.2007.01.019
Byrne B (2010) Structural equation modeling with AMOS: basic concepts, applications and programming, 2nd edn. Routledge, New York
Cellpoint Mobile (2018) Mobile outlook 2018: the future of global travel commerce. https://www.cellpointmobile.com. Accessed 10 July 2019
Chittaranjan G, Blom J, Gatica-Perez D (2013) Mining large-scale smartphone data for personality studies. Pers Ubiquitous Comput 17(3):433–450. https://doi.org/10.1007/s00779-011-0490-1
Choi JK, Ji YG (2015) Investigating the importance of trust on adopting an autonomous vehicle. Int J Hum Comput Interact 31(10):692–702. https://doi.org/10.1080/10447318.2015.1070549
Chong AYL, Chan FTS, Ooi KB (2012) Predicting consumer decisions to adopt mobile commerce: cross country empirical examination between China and Malaysia. Decis Support Syst 53(1):34–43. https://doi.org/10.1016/j.dss.2011.12.001
Cohen SA, Prayag G, Moital M (2014) Consumer behaviour in tourism: concepts, influences and opportunities. Curr Issues Tour 17(10):872–909. https://doi.org/10.1080/13683500.2013.850064
Correa T, Hinsley AW, Zúñiga HG (2010) Who interacts on the web? The intersection of users’ personality and social media use. Comput Hum Behav 26(2):247–253. https://doi.org/10.1016/j.chb.2009.09.003
Corritore CL, Kracher B, Wiedenbeck S (2003) On-line trust: concepts, evolving themes, a model. Int J Hum Comput Stud 58(6):737–758. https://doi.org/10.1016/S1071-5819(03)00041-7
Costa PT, McCrae RR (1992) Normal personality assessment in clinical practice: the NEO personality inventory SNPs and personality view project PERSONALITY STABILITY AND CHANGE View Project. Psychol Assess 4(1):5–13
Costa PT, McCrae RR (2006) Trait and Factor Theories. In: Thomas Jay, Segal Daniel (eds) Comprehensive handbook of personality and psychopathology. Wiley, Hoboken
Criteo (2018) Summer Travel Report
Dal Fiore F, Mokhtarian PL, Salomon I, Singer ME (2014) Nomads at last’? A set of perspectives on how mobile technology may affect travel. J Transp Geogr 41:97–106. https://doi.org/10.1016/j.jtrangeo.2014.08.014
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technolog. MIS Q 13(3):319–340. https://doi.org/10.2307/249008
Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manag Sci 35(8):982–1003. https://doi.org/10.1287/mnsc.35.8.982
Deloitte (2017) Global mobile consumer trends. https://www2.deloitte.com/global/en/pages/technology-media-and-telecommunications/articles/gx-global-mobile-consumer-trends.html. Accessed 10 July 2019
Devaraj US, Sarv U, Easley RF, Crant JM (2008) How does personality matter? Relating the five-factor model to technology acceptance and use. Inf Syst Res 19(1):93–105. https://doi.org/10.1287/isre.1070.0153
Dickinger A (2011) The trustworthiness of online channels for experience- and goal-directed search tasks. J Travel Res 50(4):378–391. https://doi.org/10.1177/0047287510371694
Digman JM (1989) Five robust trait dimensions: development, stability, and utility. Special issue: long-term stability and change in personality. J Pers 50:116–123
Doll WJ, Hendrickson A, Deng X (1998) Using Davis’s perceived usefulness and ease-of-use instruments for decision making: a confirmatory and multigroup invariance analysis. Decis Sci 29(4):839–869. https://doi.org/10.1111/j.1540-5915.1998.tb00879.x
Douglas A, Lubbe B, Van Rooyen A (2018) Business travellers’ use of mobile travel applications: a generational analysis. Inf Technol Tour 18(1–4):113–132. https://doi.org/10.1007/s40558-017-0103-6
Eastlick MA, Lotz SL, Warrington P (2006) Understanding online B-to-C relationships: an integrated model of privacy concerns, trust, and commitment. J Bus Res 59(8):877–886. https://doi.org/10.1016/j.jbusres.2006.02.006
Ert E, Fleischer A (2016) Mere position effect in booking hotels online. J Travel Res 55(3):311–321. https://doi.org/10.1177/0047287514559035
Ferreira JB, da Rocha A, da Silva JF (2014) Impacts of technology readiness on emotions and cognition in Brazil. J Bus Res 67(5):865–873. https://doi.org/10.1016/j.jbusres.2013.07.005
Fesenmaier DR, Xiang Z, Pan B, Law R (2011) A framework of search engine use for travel planning. J Travel Res 50(6):587–601. https://doi.org/10.1177/0047287510385466
Fishbein M, Ajzen I (2010) Predicting and changing behavior: the reasoned action approach. Psychology Press, New York
Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39. https://doi.org/10.2307/3151312
Gefen D, Karahanna E, Straub DW (2003) Trust and TAM in online shopping. MIS Q 27(1):51–90. https://doi.org/10.2307/30036519
Giovannini CJ, Ferreira JB, da Silva JF, Ferreira DB (2015) The effects of trust transference, mobile attributes and enjoyment on mobile trust. BAR Braz Adm Rev 12(1):88–108. https://doi.org/10.1590/1807-7692bar2015140052
Goldberg L (1992) The development of markers for the big-five factor structure. Psychol Assess 4(1):26–42
Google (2017) Google consumer barometer. https://www.consumerbarometer.com. Accessed 10 July 2019
Grabner-Kräuter S, Kaluscha EA (2003) Empirical research in on-line trust: a review and critical assessment. Int J Hum Comput Stud 58(6):783–812. https://doi.org/10.1016/S1071-5819(03)00043-0
Gretzel U, Fesenmaier DR, O’Leary JT (2006) The transformation of consumer behavior. In: Buhalis D, Costa C (eds) Tourism business frontiers. Elsevier Hutter-Heinemann, Oxford, pp 31–40
Ha S, Stoel L (2009) Consumer E-shopping acceptance: antecedents in a technology acceptance model. J Bus Res 62(5):565–571. https://doi.org/10.1016/j.jbusres.2008.06.016
Hair J, Black W, Babin B, Anderson R (2013) Multivariate data analysis. Seventh. Pearson, Harlow
Hassanein K, Head M (2007) Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. Int J Hum Comput Stud 65(8):689–708. https://doi.org/10.1016/j.ijhcs.2006.11.018
Heijden HVD, Verhagen T, Creemers M (2003) Understanding online purchase intentions: contributions from technology and trust perspectives. Eur J Inf Syst 12(1):41–48. https://doi.org/10.1057/palgrave.ejis.3000445
Hendrickson AR, Massey PD, Cronan TP (2018) On the test-retest reliability of perceived usefulness and perceived ease of use scales. 17(2): 227–230. https://www.jstor.org/stable/249803
Hernandez B, Jimenez J, Martin MJ (2009) The impact of self-efficacy, ease of use and usefulness on e-purchasing: an analysis of experienced e-shoppers. Interact Comput 21(1–2):146–156. https://doi.org/10.1016/j.intcom.2008.11.001
Hjalager AM (2015) 100 innovations that transformed tourism. J Travel Res 54(1):3–21. https://doi.org/10.1177/0047287513516390
Hu LT, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6(1):1–55. https://doi.org/10.1080/10705519909540118
Huang JH, Yang YC (2010) The relationship between personality traits and online shopping motivations. Soc Behav Pers Int J 38(5):673–679. https://doi.org/10.2224/sbp.2010.38.5.673
Islam JU, Rahman Z, Hollebeek LD (2017) Personality factors as predictors of online consumer engagement: an empirical investigation. Mark Intell Plan 35(4):510–528. https://doi.org/10.1108/MIP-10-2016-0193
Jafari J (1987) Tourism models the sociocultural aspects. https://www.google.com.mx/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=tourismmodelsthesocioculturalaspects%0Ainternal-pdf://0.0.0.19/webhp.html. Accessed 10 July 2019
Jani D, Jang JH, Hwang YH (2014) Big Five factors of personality and tourists’ internet search behavior. Asia Pac J Tour Res 19(5):600–615. https://doi.org/10.1080/10941665.2013.773922
Jenaro C, Flores N, Gómez-Vela M, González-Gil F, Caballo C (2007) Problematic Internet and cell-phone use: psychological, behavioral, and health correlates. Addict Res Theory 15(3):309–320. https://doi.org/10.1080/16066350701350247
Kim H, Jamal T (2007) Touristic quest for existential authenticity. Ann Tour Res 34(1):181–201. https://doi.org/10.1016/j.annals.2006.07.009
Kim Y, Jeong JS (2015) Personality predictors for the use of multiple internet functions. Internet Res 25(3):399–415. https://doi.org/10.1108/IntR-11-2013-0250
Kim HH, Law R (2015) Smartphones in tourism and hospitality marketing: a literature review. J Travel Tour Mark 32(6):692–711. https://doi.org/10.1080/10548408.2014.943458
Kim DY, Park J, Morrison AM (2008) A model of traveller acceptance of mobile technology. Int J Tour Res 10(5):393–407. https://doi.org/10.1002/jtr.669
Kim C, Mirusmonov M, Lee I (2010) An empirical examination of factors influencing the intention to use mobile payment. Comput Hum Behav 26(3):310–322. https://doi.org/10.1016/j.chb.2009.10.013
Kim H, Xiang Z, Fesenmaier DR (2015a) Use of the Internet for trip planning: a generational analysis. J Travel Tour Mark 32(3):276–289. https://doi.org/10.1080/10548408.2014.896765
Kim Y, Briley DA, Ocepek MG (2015b) Differential innovation of smartphone and application use by sociodemographics and personality. Comput Hum Behav 44:141–147. https://doi.org/10.1016/j.chb.2014.11.059
King WR, He J (2006) A Meta-analysis of the technology acceptance model. Inf Manag 43(6):740–755. https://doi.org/10.1016/j.im.2006.05.003
Kovacs MH, Farias SA (2004) Dimensões de Riscos Percebidos nas Compras pela Internet. RAE Eletrônica. https://doi.org/10.1590/S1676-56482004000200013
Kumar A, Lim H (2008) Age differences in mobile service perceptions: comparison of generation Y and baby boomers. J Serv Mark 22(7):568–577. https://doi.org/10.1108/08876040810909695
Kuvilvat S, Bruner G, Kumar A, Nasco S, Clark T (2007) Toward a unified theory of consumer acceptance technology. Psychol Mark 24(12):1059–1084. https://doi.org/10.1002/mar.20196
Lamsfus C, Wang D, Alzua-Sorzabal A, Xiang Z (2015) Going mobile: defining context for on-the-go travelers. J Travel Res 54(6):691–701. https://doi.org/10.1177/0047287514538839
Landers RN, Lounsbury JW (2006) An investigation of big five and narrow personality traits in relation to Internet usage. Comput Hum Behav 22(2):283–293. https://doi.org/10.1016/j.chb.2004.06.001
Lane W, Manner C (2010) The impact of personality traits on smartphone ownership and use. Int J Bus Soc Sci 2(17):22. https://doi.org/10.1097/WNP.0b013e318246ae5c
Lee TM (2005) The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. J Electron Commer Res 6(3):165
Legris P, Ingham J, Collerette P (2003) Why do people use information technology: a critical review of the literature. Inf Manag 40(3):191–204
Leung L (2008) Leisure boredom, sensation seeking, self-esteem, addiction: symptoms and patterns of cell phone use. In: Konijn EA, Tanis MA, Utz S, Linden A (eds) Mediated interpersonal communications. Lawrence Erlbaum Associates, Mahwah, pp 359–381
Li R, Chung TL, Fiore AM (2017) Factors affecting current users’ attitude towards e-auctions in China: an extended TAM study. J Retail Consum Serv 34:19–29. https://doi.org/10.1016/j.jretconser.2010.12.005
Liébana-Cabanillas F, Sánchez-Fernández J, Muñoz-Leiva F (2014) Antecedents of the adoption of the new mobile payment systems: the moderating effect of age. Comput Hum Behav 35:464–478. https://doi.org/10.1016/j.chb.2014.03.022
Lu J, Mao Z, Mengbin W, Hu L (2015) Goodbye maps, hello apps? Exploring the influential determinants of travel app adoption. Curr Issues Tour 18(11):1059–1079. https://doi.org/10.1080/13683500.2015.1043248
Marriott HR, Williams MD (2018) Exploring consumers perceived risk and trust for mobile shopping: a theoretical framework and empirical study. J Retail Consum Serv 42(February):133–146. https://doi.org/10.1016/j.jretconser.2018.01.017
McCole P, Ramsey E, Williams J (2010) Trust considerations on attitudes towards online purchasing: the moderating effect of privacy and security concerns. J Bus Res 63(9–10):1018–1024. https://doi.org/10.1016/j.jbusres.2009.02.025
McCrae RR, Costa PT (1987) Validation of the five-factor model of personality across instruments and observers. J Pers Soc Psychol 52(1):81–90. https://doi.org/10.1037/0022-3514.52.1.81
Montag C, Błaszkiewicz K, Sariyska R, Lachmann B, Andone I, Trendafilov B, Eibes M, Markowetz A (2015) Smartphone usage in the 21st century: who is active on WhatsApp? BMC Res Notes 8(1):4–9. https://doi.org/10.1186/s13104-015-1280-z
Morosan C (2014) Toward an integrated model of adoption of mobile phones for purchasing ancillary services in air travel. Int J Contemp Hosp Manag 26(2):246–271. https://doi.org/10.1108/IJCHM-11-2012-0221
Morosan C, DeFranco A (2016) Modeling guests’ intentions to use mobile apps in hotels: the roles of personalization, privacy, and involvement. Int J Contemp Hosp Manag 28(9):1968–1991. https://doi.org/10.1108/IJCHM-07-2015-0349
Mowen J (2000) The 3M model of motivation and personality: theory and empirical applications to consumer behavior. Kluwer Academic, Boston
Mowen JC, Spears N (1999) Understanding compulsive buying among college students: a hierarchical approach understanding compulsive buying among college students: a hierarchical approach. J Consum Psychol 8(4):407–430
Nunkoo R, Ramkissoon H (2013) Travelers’ e-purchase intent of tourism products and services. J Hosp Mark Manag 22(5):505–529. https://doi.org/10.1080/19368623.2012.680240
Olsson UH, Foss T, Troye SV, Howell RD (2000) The performance of ML, GLS, and WLS estimation in structural equation modeling under conditions of misspecification and nonnormality. Struct Eqn Model 7(4):557–595
Özbek V, Alnıaçık U, Koc F, Akkılıç ME, Kaş E (2014) The impact of personality on technology acceptance: a study on smart phone users. Procedia Soc Behav Sci 150:541–551. https://doi.org/10.1016/j.sbspro.2014.09.073
Palvia P (2009) The role of trust in e-commerce relational exchange: a unified model. Inf Manag 46(4):213–220. https://doi.org/10.1016/j.im.2009.02.003
Parasuraman A (2000) Technology readiness index (TRI): a multiple item scale to measure readiness to embrace new technologies. J Serv Res 2:307
Pavlou PA (2003) Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. Int J Electron Commer 7(3):101–134. https://doi.org/10.1080/10864415.2003.11044275
Pendergast D (2009) Generational theory and home economics: future proofing the profession. Fam Consum Sci Res J 37(4):504–522. https://doi.org/10.1177/1077727X09333186
Podsakoff P, Organ D (1986) Self-reports in organizational research: problems and prospects. J Manag 12(4):531–544
Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP (2003) Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 88(5):879–903
Roberts JA, Pullig C, Manolis C (2015) I need my smartphone: a hierarchical model of personality and cell-phone addiction. Pers Individ Differ 79:13–19. https://doi.org/10.1016/j.paid.2015.01.049
Sahli AB, Legohérel P (2015) The tourism web acceptance model: a study of intention to book tourism products online. J Vacat Mark 22(2):179–194. https://doi.org/10.1177/1356766715607589
Schepers J, Wetzels M (2007) A meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects. Inf Manag 44(1):90–103. https://doi.org/10.1016/j.im.2006.10.007
Schultz D, Schultz S (2016) Theories of personality, 11th edn. Cengage Learning, Boston
Stachl C, Hilbert S, Au JQ, Buschek D, De Luca A, Bischl B, Hussmann H, Bühner M (2017) Personality traits predict smartphone usage. Eur J Pers 31(6):701–722. https://doi.org/10.1002/per.2113
Stafford TF, Turan AH, Raisinghani MS (2004) International and cross-cultural influences on online shopping behavior. J Glob Inf Technol Manag 7(2):70–87. https://doi.org/10.1080/1097198X.2004.10856373
Straub DW (2012) Editor’s comments—does MIS have native theories? MIS Quarterly 36(2):iii–xii. https://doi.org/10.1016/S1262-3636(07)70146-5
Suh B, Han I (2003) The impact of customer trust and perception of security control on the acceptance of electronic commerce. Int J Electron Commer 7(3):135–161. https://doi.org/10.1080/10864415.2003.11044270
Svendsen GB, Johnsen JAK, Almås-Sørensen L, Vittersø J (2013) Personality and technology acceptance: the influence of personality factors on the core constructs of the technology acceptance model. Behav Inf Technol 32(4):323–334. https://doi.org/10.1080/0144929X.2011.553740
Tan F, Sutherland P (2004) Online consumer trust: a multi-dimensional model. J Electron Commer Org (JECO) 2(3):40–58
Tanti A, Buhalis D (2017) The influences and consequences of being digitally connected and/or disconnected to travellers. Inf Technol Tour 17(1):121–141. https://doi.org/10.1007/s40558-017-0081-8
Tsao WC, Chang HR (2010) Exploring the impact of personality traits on online shopping behavior. Afr J Bus Manag 4(9):1800–1812
Tung FC, Chang SC, Chou CM (2008) An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. Int J Med Inform 77(5):324–335. https://doi.org/10.1016/j.ijmedinf.2007.06.006
Tussyadiah IP, Wang D (2014) Tourists’ attitudes toward proactive smartphone systems. J Travel Res 55(4):493–508. https://doi.org/10.1177/0047287514563168
Ukpabi DC, Karjaluoto H (2017) Consumers’ acceptance of information and communications technology in tourism: a review. Telemat Inform 34(5):618–644. https://doi.org/10.1016/j.tele.2016.12.002
UNWTO (2015) Tourism highlights 2015. https://www.e-unwto.org. Accessed 10 July 2019
UNWTO (2018) International tourism trends 2017. https://www.e-unwto.org. Accessed 10 July 2019
Walczuch R, Lundgren H (2004) Psychological antecedents of institution-based consumer trust in e-retailing. Inf Manag 42(1):159–177. https://doi.org/10.1016/j.im.2003.12.009
Wang S, Wang S, Wang MT (2006) Shopping online or not? Cognition and personality matters. J Technol Appl Electron Commer Res 1(3):68–80
Wang CC, Hui-Wen Y, City T (2008) Passion for online shopping: the influence of personality and compulsive buying. Inf Manag 36(5):693–706. https://doi.org/10.2224/sbp.2008.36.5.693
Wang D, Park S, Fesenmaier DR (2012) The role of smartphones in mediating the touristic experience. J Travel Res 51(4):371–387. https://doi.org/10.1177/0047287511426341
Wang D, Xiang Z, Fesenmaier DR (2016) Smartphone use in everyday life and travel. J Travel Res 55(1):52–63. https://doi.org/10.1177/0047287514535847
Wen C, Prybutok VR, Xu C (2011) An integrated model for customer online repurchase intention. J Comput Inf Syst 52(1):14–23
Wu IL, Chen JL (2005) An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study. Int J Hum Comput Stud 62(6):784–808. https://doi.org/10.1016/j.ijhcs.2005.03.003
Wu JH, Wang SC (2005) What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Inf Manag 42:719–729. https://doi.org/10.1016/j.im.2004.07.001
Wu G, Hu X, Wu Y (2010) Effects of perceived interactivity, perceived web assurance and disposition to trust on initial online trust. J Comput Med Commun 16(1):1–26. https://doi.org/10.1111/j.1083-6101.2010.01528.x
Xiang Z, Magnini VP, Fesenmaier DR (2015) Information technology and consumer behavior in travel and tourism: insights from travel planning using the Internet. J Retail Consum Serv 22:244–249. https://doi.org/10.1016/j.jretconser.2014.08.005
Xu R, Frey RM, Fleisch E, Ilic A (2016) Understanding the impact of personality traits on mobile app adoption—insights from a large-scale field study. Comput Hum Behav 62:244–256. https://doi.org/10.1016/j.chb.2016.04.011
Yang S, Lu Y, Gupta S, Cao Y, Zhang R (2012) Mobile payment services adoption across time: an empirical study of the effects of behavioral beliefs, social influences, and personal traits. Comput Hum Behav 28(1):129–142. https://doi.org/10.1016/j.chb.2011.08.019
Yu J, Ha I, Choi M, Rho J (2005) Extending the TAM for a T-commerce. Inf Manag 42(7):965–976. https://doi.org/10.1016/j.im.2004.11.001
Yu X, Anaya GJ, Miao L, Lehto X, Wong IKA (2018) The impact of smartphones on the family vacation experience. J Travel Res 57(5):579–596. https://doi.org/10.1177/0047287517706263
Zhou T (2014) An empirical examination of initial trust in mobile payment. Wirel Pers Commun 77(2):1519–1531. https://doi.org/10.1007/s11277-013-1596-8
Zhou T, Lu Y (2011) The effects of personality traits on user acceptance of mobile commerce. Int J Hum Comput Interact 27(6):545–561. https://doi.org/10.1080/10447318.2011.555298
Zimmer JC, Arsal RE, Al-Marzouq M, Grover V (2010) Investigating online information disclosure: effects of information relevance, trust and risk. Inf Manag 47(2):115–123. https://doi.org/10.1016/j.im.2009.12.003
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The original version of this article was revised: In the originally published version of this article, one of the names of the co-authors was not fully reproduced. It should read as follows: The name of the co-author “Murilo Carrazedo” is completely “Murilo Carrazedo Marques da Costa Filho”.
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Falcao, R.P.Q., Ferreira, J.B. & Carrazedo Marques da Costa Filho, M. The influence of ubiquitous connectivity, trust, personality and generational effects on mobile tourism purchases. Inf Technol Tourism 21, 483–514 (2019). https://doi.org/10.1007/s40558-019-00154-1
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DOI: https://doi.org/10.1007/s40558-019-00154-1