Abstract
As online activities increasingly shift to mobile devices, organizations especially in tourism must understand which factors drive and inhibit mobile consumer behaviour, if they want to remain competitive. Thus, this paper analyses the effects of psychological factors on mobile consumer behaviour. Drawing on multiple established theories, four psychological factors are identified: (1) smartphone self-efficacy, (2) mobile-specific innovativeness, (3) mobile users’ information privacy concerns, and (4) personal attachment to smartphone. Using a structural equation modeling approach with a large-scale consumer sample, the effects of these factors on two fundamental types of mobile consumer behaviour are analysed: behaviour along the mobile customer journey and consumers’ willingness to disclose personal data in return for personalized mobile experiences. The results confirm the relevance of the identified factors for mobile consumer behaviour. These findings have several implications for the design and management of mobile touch points in tourism.
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Abolfazli S, Sanaei Z, Gani A, Xia F, Yang LT (2014) Rich mobile applications: genesis, taxonomy, and open issues. J Netw Comput Appl 40(1):345–362. https://doi.org/10.1016/j.jnca.2013.09.009
Agarwal R, Prasad J (1998) A conceptual and operational definition of personal innovativeness in the domain of information technology. Inf Syst Res 9(2):204–215
Aguirre E, Roggeveen AL, Grewal D, Wetzels M (2016) The personalization–privacy paradox: implications for new media. J Consum Mark 33(2):98–110. https://doi.org/10.1108/JCM-06-2015-1458
Anderl E, Schumann JH, Kunz W (2016) Helping firms reduce complexity in multichannel online data: a new taxonomy-based approach for customer journeys. J Retail 92(2):185–203. https://doi.org/10.1016/j.jretai.2015.10.001
Anuar FI, Gretzel U (2011) Privacy concerns in the context of location-based services for tourism. E-Rev Tour Res ENTER 2011:1–6
Bagozzi RP, Yi T (1988) On the evaluation of structural equation models. J Acad Mark Sci 16(1):74–94
Bandura A (1977) Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev 84(2):191–215
Bandura A (1986) Social foundations of thought and action: a social cognitive theory. Prentice Hall, Englewood Cliffs
Barwise P, Strong C (2002) Permission-based mobile advertising. J Interact Mark 16(1):14–24. https://doi.org/10.1002/dir.10000
Bauer C, Strauss C (2016) Location-based advertising on mobile devices. Manag Rev Q 66(3):159–194. https://doi.org/10.1007/s11301-015-0118-z
Baumgartner H, Homburg C (1996) Applications of structural equation modeling in marketing and consumer research: a review. Int J Res Mark 13(2):139–161. https://doi.org/10.1016/0167-8116(95)00038-0
Bellman S, Potter R, Treleaven-Hassard S, Robinson JA, Varan D (2011) The effectiveness of branded mobile phone apps. J Interact Mark 25(4):191–200. https://doi.org/10.1016/j.intmar.2011.06.001
Biljon J Van, Kotzé P (2008) Cultural factors in a mobile phone adoption and usage model. J Univ Comput Sci 14(16):2650–2679. https://doi.org/10.3217/jucs-014-16-2650
Binkhorst E, Den Dekker T (2009) Agenda for co-creation tourism experience research. J Hosp Mark Manag 18(2–3):311–327. https://doi.org/10.1080/19368620802594193
Buhalis D, Foerste M (2015) SoCoMo marketing for travel and tourism: empowering co-creation of value. J Destin Mark Manag 4(3):151–161. https://doi.org/10.1016/j.jdmm.2015.04.001
Chaffey D (2017) Mobile marketing statistics compilation. https://www.smartinsights.com/mobile-marketing/mobile-marketing-analytics/mobile-marketing-statistics/. Accessed 4 Jun 2017
Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Erlbaum Associates, New Jersey
comparis.ch. (2016) Drei von vier Schweizern sind smart unterwegs. https://www.comparis.ch/comparis/press/medienmitteilungen/artikel/2016/telecom/smartphone-studie-2016/smartphone-verbreitungsstudie-2016.aspx. Accessed 24 Aug 2016
Compeau D, Higgins C (1995) Computer self-efficacy: development of a measure and initial test. Manag Inf Syst 19(2):189–211. https://doi.org/10.2307/249688
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
de Haan E, Kannan PK Verhoef PC, Wiesel T (2015) The role of mobile devices in the online customer journey. In: MSI working paper no. 15–124
de Haan E, Wiesel T, Pauwels K (2016) The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework. Int J Res Mark 33(3):491–507. https://doi.org/10.1016/j.ijresmar.2015.12.001
de Reuver M, Nikouand S, Bouwman H (2016) Domestication of smartphones and mobile applications: a quantitative mixed-method study. Mobile Media Commun. https://doi.org/10.1177/2050157916649989
Dey AK, Abowd GD (2000) Towards a better understanding of context and context-awareness. In: Proceedings of the CHI 2000 workshop on the what, who, where, when and how of context awareness, vol 4, The Hague, The Netherlands, pp 1–6
Dinev T, Hart P (2006a) An extended privacy calculus transactions model for e-commerce transactions. Inf Syst Res 17(1):61–80. https://doi.org/10.1287/isre.1060.0080
Dinev T, Hart P (2006b) Internet privacy concerns and social awareness as determinants of intention to transact. Int J Electron Commer 10(2):7–29. https://doi.org/10.2753/JEC1086-4415100201
Dischler J (2015) Building for the next moment. http://adwords.blogspot.ch/2015/05/building-for-next-moment.html. Accessed 5 Jul 2015
eMarketer (2015) By 2016, most digital travel bookers will use mobile devices. http://www.emarketer.com/Article/By-2016-Most-Digital-Travel-Bookers-Will-Use-Mobile-Devices/1013248. Accessed 10 Sep 2016
eMarketer (2016a) Smartphones lead mobile bookings for hotel, flights. http://www.emarketer.com/Article/Smartphones-Lead-Mobile-Bookings-Hotel-Flights/1014080. Accessed 10 Sep 2016
eMarketer (2016b) What’s going on with beacons? http://www.emarketer.com/Article/Whats-Going-On-with-Beacons/1014218. Accessed 24 Aug 2016
Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50
Gao T, Rohm AJ, Sultan F, Pagani M (2013) Consumers un-tethered: a three-market empirical study of consumers’ mobile marketing acceptance. J Bus Res 66(12):2536–2544. https://doi.org/10.1016/j.jbusres.2013.05.046
Gefen D, Straub D (2005) A practical guide to factorial validity using PLS-graph: tutorial and annotated example. Commun Assoc Inf Syst 16(1):5
Godin S (1999) Permission marketing: turning strangers into friends and friends into customers. Simon and Schuster, New York, NY
Goldsmith RE, Hofacker CF (1991) Measuring consumer innovativeness. J Acad Mark Sci 19(3):209–221. https://doi.org/10.1007/BF02726497
Google (2013) Mobile purchase journey. http://www.google.co.uk/think/tools/mobile-purchase-journey.html. Accessed 2 Apr 2015
Google (2016) How micro-moments are reshaping the travel customer journey. https://www.thinkwithgoogle.com/marketing-resources/micro-moments/micro-moments-travel-customer-journey/. Accessed 5 June 2017
Google (2017a) “Customer journey”—explore—Google trends. https://trends.google.com/trends/. Accessed 28 May 2017
Google (2017b) “Customer journey”—Google Scholar. https://scholar.google.ch. Accessed 28 May 2017
Gotardi L, Senn Y, Cholakova E, Liebrich A, Wozniak T (2015) How do millennial travellers use their mobile devices in a city destination ?—empirical evidence from Switzerland. E-Rev Tour Res ENTER 2015:1–5
Gretzel U, Fesenmaier DR, O’Leary JT (2006) The transformation of consumer behaviour. In: Buhalis D, Costa C (eds) Tourism business frontiers. Elsevier/Butterworth-Heinemann, Burlington, MA, pp 9–18
Gretzel U, Sigala M, Xiang Z, Koo C (2015) Smart tourism: foundations and developments. Electron Mark 25(3):179–188. https://doi.org/10.1007/s12525-015-0196-8
Habegger B, Hasan O, Brunie L, Bennani N, Kosch H, Damiani E (2014) Personalization vs. privacy in big data analysis. Int J Big Data 1(1):25–35
Hair JF, Black WC, Babin BJ, Anderson RE (2010) Multivariate data analysis vectors, 7th edn. Prentice Hall, Upper Saddle River, NJ
hitwise (2016) Mobile search: topics and themes. http://hitwise.connexity.com/070116_MobileSearchReport_CD_US.html
Hu L, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6(1):1–55
John OP, Srivastava S (1999) The Big Five trait taxonomy: history, measurement, and theoretical perspectives. In: Pervin LA, John OP (eds) Handbook of personality: theory and research, 2nd edn. Guilford Press, New York, pp 102–138
Karjaluoto H, Lehto H, Leppaniemi M, Jayawardhena C (2008) Exploring gender influence on customer’s intention to engage permission-based mobile marketing. Electron Mark 18(3):242–259. https://doi.org/10.1080/10196780802265793
Keith MJ, Thompson SC, Hale J, Lowry PB, Greer C (2013) Information disclosure on mobile devices: re-examining privacy calculus with actual user behavior. Int J Hum Comput Stud 71(12):1163–1173. https://doi.org/10.1016/j.ijhcs.2013.08.016
Keith MJ, Babb JS, Lowry PB, Furner CP, Abdullat A (2015) The role of mobile-computing self-efficacy in consumer information disclosure. Inf Syst J 25(6):637–667. https://doi.org/10.1111/isj.12082
Kranzbühler A-M, Kleijnen MHP, Morgan RE, Teerling M (2017) The multilevel nature of customer experience research: an integrative review and research agenda. Int J Manag Rev. https://doi.org/10.1111/ijmr.12140
Leavitt C, Walton J (1975) Development of a scale for innovativeness. Adv Consum Res 2(1):545–554
Lemon KN, Verhoef PC (2016) Understanding customer experience throughout the customer journey. J Mark 80(6):69–96. https://doi.org/10.1509/jm.15.0420
Malhotra NK, Kim SS, Agarwal J (2004) Internet users’ information privacy concerns (IUIPC): the construct, the scale, and a causal model. Inf Syst Res 15(4):336–355. https://doi.org/10.1287/isre.1040.0032
Martin K (2016) Understanding privacy online: development of a social contract approach to privacy. J Bus Ethics 137(3):551–569. https://doi.org/10.1007/s10551-015-2565-9
Martin KD, Murphy PE (2016) The role of data privacy in marketing. J Acad Mark Sci 45:1–21. https://doi.org/10.1007/s11747-016-0495-4
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
Mort GS, Drennan J (2002) Mobile digital technology: emerging issues for marketing. J Database Mark 10(1):9–23. https://doi.org/10.1057/palgrave.jdm.3240090
Netemeyer RG, Bearden WO, Sharma S (2003) Scaling procedures: issues and applications. Sage, Thousand Oaks, CA
NET-Metrix (2017) NET-metrix-base. https://www.net-metrix.ch/produkte/net-metrix-base. Accessed 20 Oct 2017
Neuhofer B, Buhalis D, Ladkin A (2012) Conceptualising technology enhanced destination experiences. J Destin Mark Manag 1(1–2):36–46. https://doi.org/10.1016/j.jdmm.2012.08.001
Nunnally JC (1978) Psychometric theory, 2nd edn. McGraw-Hill, New York, NY
Nunnally JC, Bernstein IH (1994) Psychometric theory. McGraw-Hill, New York, NY
Nysveen H, Pedersen PE, Thorbjørnsen H (2005) Intentions to use mobile services: antecedents and cross-service comparisons. J Acad Mark Sci 33(3):330–346. https://doi.org/10.1177/0092070305276149
Park S, Huang Y (2017) Motivators and inhibitors in booking a hotel via smartphones. Int J Contemp Hosp Manag 29(1):161–178. https://doi.org/10.1108/IJCHM-03-2015-0103
Park YJ, Mo Jang S (2014) Understanding privacy knowledge and skill in mobile communication. Comput Hum Behav 38:296–303. https://doi.org/10.1016/j.chb.2014.05.041
Patricio L, Fisk RP, Falcao e Cunha J, Constantine L (2011) Multilevel service design: from customer value constellation to service experience blueprinting. J Serv Res 14(2):180–200. https://doi.org/10.1177/1094670511401901
Pedersen P (2005) Adoption of mobile internet services: an exploratory study of mobile commerce early adopters. J Organ Comput Electron Commer 15(2):203–222. https://doi.org/10.1207/s15327744joce1503_2
Pew Research Center (2015) The smartphone difference. http://www.pewinternet.org/2015/04/01/us-smartphone-use-in-2015/. Accessed 4 Dec 2017
Pew Research Center (2016) Smartphone ownership and internet usage continues to climb in emerging economies. http://www.pewglobal.org/2016/02/22/smartphone-ownership-and-internet-usage-continues-to-climb-in-emerging-economies/. Accessed 4 Dec 2017
Prahalad CK, Ramaswamy V (2004) Co-creation experiences: the next practice in value creation. J Interact Mark 18(3):5–14. https://doi.org/10.1002/dir.20015
Rogers EM (1983) Diffusion of innovations, 3rd edn. The Free Press, New York
Shankar V, Balasubramanian S (2009) Mobile marketing: a synthesis and prognosis. J Interact Mark 23(2):118–129. https://doi.org/10.1016/j.intmar.2009.02.002
Shankar V, Kleijnen M, Ramanathan S, Rizley R, Holland S, Morrissey S (2016) Mobile shopper marketing: key issues, current insights, and future research avenues avenues. J Interact Mark 34:37–48. https://doi.org/10.1016/j.intmar.2016.03.002
Silverstone R, Haddon L (1996) Design and the domestication of information and communication technologies: technical change and everyday life. In: Mansell R, Silverstone R (eds) Communication by design: the politics of information and communication technologies. Oxford University Press, Oxford, pp 44–74
Smith HJ, Milberg SJ, Burke SJ (1996) Information privacy: measuring individuals’ concerns about organizational practices. Manag Inf Syst Q 20(2):167–196. https://doi.org/10.2307/249477
Smith H, Dinev T, Xu H (2011) Information privacy research: an interdisciplinary review. MIS Q 35(4):989–1016
Statista (2017) Smartphone functions and apps used most frequently in the U.S. 2017. https://www.statista.com/statistics/716019/smartphone-functions-and-apps-used-most-frequently-in-the-us/. Accessed 14 Oct 2017
Stein A, Ramaseshan B (2016) Towards the identification of customer experience touch point elements. J Retail Consum Serv 30:8–19. https://doi.org/10.1016/j.jretconser.2015.12.001
Straker K, Wrigley C, Rosemann M (2015) Typologies and touchpoints: designing multi-channel digital strategies. J Res Interact Mark 9(2):110–128. https://doi.org/10.1108/JRIM-06-2014-0039
Suki NM, Suki NM (2017) Flight ticket booking app on mobile devices: examining the determinants of individual intention to use. J Air Transp Manag 62:146–154. https://doi.org/10.1016/j.jairtraman.2017.04.003
Sun H (2004) Expanding the scope of localization: a cultural usability perspective on mobile text messaging use in American and Chinese contexts. Rensselaer Polytechnic Institute, New York
Sutanto J, Palme E, Tan C-H, Phang CW (2013) Addressing the personalization-privacy paradox: an empirical assessment from a field experiment on smartphone users. MIS Q 37(4):1141–1164. https://doi.org/10.25300/MISQ/2013/37.4.07
Swiss Federal Statistics Office (2016) Travel behaviour. https://www.bfs.admin.ch/bfs/en/home/statistics/tourism/travel-behaviour.html. Accessed 3 Sep 2017
The World Bank (2016) GDP per capita (current US$). http://data.worldbank.org/indicator/NY.GDP.PCAP.CD?year_high_desc=true. Accessed 27 Aug 2016
Tussyadiah IP (2015) The influence of innovativeness on on-site smartphone use among American travelers: implications for context-based push marketing. J Travel Tour Mark 33(6):806–823. https://doi.org/10.1080/10548408.2015.1068263
Vallespín M, Molinillo S, Muñoz-Leiva F (2017) Segmentation and explanation of smartphone use for travel planning based on socio-demographic and behavioral variables. Ind Manag Data Syst 117(3):605–619. https://doi.org/10.1108/IMDS-03-2016-0089
Venkatesh V, Bala H (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
Vincent J (2005) Are people affected by their attachment to their mobile phone ? In: Nyiri K (ed) A sense of place: the global and the local in mobile communications. Passagen, Vienna, pp 221–230
Vincent J (2006) Emotional attachment and mobile phones. Knowl Technol Policy 19(1):39–44. https://doi.org/10.1007/s12130-006-1013-7
Wang D, Xiang Z, Fesenmaier DR (2014) Adapting to the mobile world: a model of smartphone use. Ann Tour Res 48:11–26. https://doi.org/10.1016/j.annals.2014.04.008
Wang D, Xiang Z, Fesenmaier DR (2016a) Smartphone use in everyday life and travel. J Travel Res 55(1):52–63. https://doi.org/10.1177/0047287514535847
Wang T, Duong TD, Chen CC (2016b) Intention to disclose personal information via mobile applications: a privacy calculus perspective. Int J Inf Manag 36(4):531–542. https://doi.org/10.1016/j.ijinfomgt.2016.03.003
Wehmeyer K (2007) Assessing users’ attachment to their mobile devices. In: Conference proceedings—6th international conference on the management of mobile business (ICMB 2007), Toronto, Canada, pp 1–8
Westin AF (1967) Privacy and freedom. Atheneum, New York
Wozniak T, Schaffner D (2016) Innovativeness versus privacy: psychological antecedents of the permission-based acceptance of mobile marketing. In: 2016 winter marketing academic conference proceedings, Las Vegas, NV, p C-112-C-120
Wozniak T, Liebrich A, Senn Y, Zemp M (2016) Alpine tourists’ willingness to engage in virtual co-creation of experiences. In: Inversini A, Schegg R (eds) Information and communication technologies in tourism 2016, pp 281–294. Springer, Cham. https://doi.org/10.1007/978-3-319-28231-2_21
Xu H, Gupta S (2009) The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services. Electron Mark 19(2–3):137–149. https://doi.org/10.1007/s12525-009-0012-4
Xu H, Luo (Robert) X, Carroll JM, Rosson MB (2011) The personalization privacy paradox: an exploratory study of decision making process for location-aware marketing. Decis Support Syst 51(1):42–52. https://doi.org/10.1016/j.dss.2010.11.017
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
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This is an extended version of a conference paper entitled “Psychological Antecedents of Smartphone Users’ Behaviour Along the Mobile Customer Journey” previously published in the proceedings of Information and Communication Technologies in Tourism 2017 Conference (ENTER 2017) held in Rome, Italy, January 24–26, 2017.
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Wozniak, T., Schaffner, D., Stanoevska-Slabeva, K. et al. Psychological antecedents of mobile consumer behaviour and implications for customer journeys in tourism. Inf Technol Tourism 18, 85–112 (2018). https://doi.org/10.1007/s40558-017-0101-8
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DOI: https://doi.org/10.1007/s40558-017-0101-8