Abstract
We propose mobile service consumption values based on a multi-dimensional value perspective by conducting an exploratory mixed-method design, including focus group interviews and face-to-face intercept surveys. We explored six dimensions of mobile service consumption values: convenience, effectiveness, enjoyment, reassurance, information, and epistemic values. The proposed value dimensions expand the scope of existing value studies by proposing additional or modified value dimensions. These dimensions reflect unique characteristics of mobile service values. In addition, the effects of mobile service consumption values on mobile service uses were examined. The results show that users’ value perceptions significantly influence their intention to use mobile services and that relative importance of value dimensions is different depending on types of mobile services. The exploration and verification of mobile service consumption values contributes theoretically to developing an expanded framework of consumption values in the mobile service field and to further understanding needs and motivations of mobile service users.
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Andrews L, Kiel G, Drennan J, Boyle MV, Weerawardena J (2007) Gendered perceptions of experiential value in using web-based retail channels. Eur J Mark 41(5/6):640–658
Arts JW, Frambach RT, Bijmolt TH (2011) Generalizations on consumer innovation adoption: a meta-analysis on drivers of intention and behavior. Int J Res Mark 28(2):134–144
Ayyagari R, Grover V, Purvis R (2011) Technostress: technological antecedents and implications. MIS Q 35(4):831–858
Babin BJ, Darden WR, Griffin M (1994) Work and/or fun: measuring hedonic and utilitarian shopping value. J Consum Res 20(March):644–656
Babin BJ, Attaway JS (2000) Atmospheric affect as a tool for creating value and gaining share of customer. J Bus Res 49(2):91–99
Bødker M, Gimpel G, Hedman J (2014) Time-out/time-in: the dynamics of everyday experiential computing devices. Inf Syst J 24(2):143–166
Boksberger PE, Melsen L (2011) Perceived value: a critical examination of definitions, concepts and measures for the service industry. J Serv Mark 25(3):229–240
Borrego M, Douglas EP, Amelink CT (2009) Quantitative, qualitative, and mixed research methods in engineering education. J Eng Educ 98(1):53–66
Bottazzi D, Corradi A, Montanari R (2006) Context-aware middleware solutions for anytime and anywhere emergency assistance to elderly people. IEEE Commun Mag 44(4):82–90
Bower JL, Christensen CM (1995) Disruptive technologies: catching the wave. Harvard Bus Rev 73(1):43–53
Brdiczka O, Langet M, Maisonnasse J, Crowley JL (2009) Detecting human behavior models from multimodal observation in a smart home. Automation Science and Engineering. IEEE Trans Autom Sci Eng 6(4):588–597
Bridges E, Florsheim R (2008) Hedonic and utilitarian shopping goals: the online experience. J Bus Res 61(4):309–314
Chen PT, Cheng JZ (2010) Unlocking the promise of mobile value-added services by applying new collaborative business models. Technol Forecast Soc Change 77(4):678–693
Churchill GA Jr (1979) A paradigm for developing better measures of marketing constructs. J Mark Res 16(1):64–73
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340
Dimmick JW, Sikand J, Patterson SJ (1994) The gratifications of the household telephone sociability, instrumentality, and reassurance. Commun Res 21(5):643–663
Eighmey J, McCord L (1998) Adding value in the information age: uses and gratifications of sites on the World Wide Web. J Bus Res 41(3):187–194
Fogelgren-Pedersen A (2005) The mobile Internet: the pioneering users’ adoption decision. Proceedings of the 38th Hawaii international conference on system sciences. Big Island, Hawaii, pp 1–10
Fornell C, Larcker DF (1981) Structural equation models with unobservable variables and measurement error. J Mark Res 18(August):382–388
Forsythe S, Liu C, Shannon D, Gardner LC (2006) Development of a scale to measure the perceived benefits and risks of online shopping. J Interact Mark 20(2):55–75
Gilbert AL, Han H (2005) Understanding mobile data services adoption: demography, attitudes or needs? Technol Forecast Soc Change 72(3):327–337
Green N, Harper RH, Murtagh G, Cooper G (2001) Configuring the mobile user: sociological and industry views. Pers Ubiquitous Comput 5(2):146–156
Hedman J, Gimpel G (2010) The adoption of hyped technologies: a qualitative study. Inf Technol Manag 11(4):161–175
Holbrook MB (1996) Customer value: a framework for analysis and research. In: Corfman KP, Lynch JG Jr (eds) Advances in consumer research. Association for Consumer Research, Provo, pp 138–142
Holbrook MB (2006) Consumption experience, customer value, and subjective personal introspection: an illustrative photographic essay. J Bus Res 59(6):714–725
Holbrook MB, Hirschman EC (1982) The experiential aspects of consumption: consumer fantasies, feelings, and fun. J Consum Res 9(2):132–140
Hong J, Suh EH, Kim J, Kim S (2009) Context-aware system for proactive personalized service based on context history. Expert Syst Appl 36(4):7448–7457
Hong SJ, Tam KY (2006) Understanding the adoption of multipurpose information appliances: the case of mobile data services. Inf Syst Res 17(2):162–179
Jarvenpaa SL, Lang KR (2005) Managing the paradoxes of mobile technology. Inf Syst Manag 22(4):7–23
Kim HW, Chan HC, Gupta S (2007) Value-based adoption of mobile internet: an empirical investigation. Decis Support Syst 43(1):111–126
Lapierre J (2000) Customer-perceived value in industrial contexts. J Bus Ind Mark 15(2/3):122–145
Laukkanen T, Lauronen J (2005) Consumer value creation in mobile banking services. Int J Mob Commun 3(4):325–338
Lee E, Han S (2015) Determinants of adoption of mobile health services. Online Info Rev 39(4):556–573
Lee EJ, Overby JW (2004) Creating value for online shoppers: implications for satisfaction and loyalty. J Consum Satisf Dissatisf Complaining Behav 17:54–67
Lee G, Xia W (2010) Toward agile: an integrated analysis of quantitative and qualitative field data. MIS Q 34(March):87–114
Luarn P, Lin HH (2005) Toward an understanding of the behavioral intention to use mobile banking. Comput Hum Behav 21(6):873–891
Magnusson L, Hanson E, Nolan M (2005) The impact of information and communication technology on family carers of older people and professionals in Sweden. Ageing Soc 25(5):693–713
Mann W, Helal A (2006) Promoting independence for older persons with disabilities. IOS Press, Amsterdam
Mick DG, Fournier S (1998) Paradoxes of technology: consumer cognizance, emotions, and coping strategies. J Consum Res 25(2):123–143
Mizik N, Jacobson R (2003) Trading off between value creation and value appropriation: the financial implications of shifts in strategic emphasis. J Mark 67(1):63–76
Morgan DL, Krueger RA (1993) Successful focus groups: advancing the state of the art. Sage, Thousand Oaks
Murray KB (1991) A test of services marketing theory: consumer information acquisition activities. J Mark 55(1):10–25
Noble G (1987) Discriminating between the intrinsic and instrumental domestic telephone user. Aust J Commun 11:63–85
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
O’Keefe GJ, Sulanowski BK (1995) More than just talk: uses, gratifications, and the telephone. J Mass Commun Q 72(4):922–933
Oliver RL (1996) Varieties of value in the consumption satisfaction response. In: Corfman KP, Lynch JG (eds) Advances in consumer research. Association for Consumer Research, Provo, pp 143–147
Parks L, Guay RP (2009) Personality, values, and motivation. Pers Individ Dif 47(7):675–684
Peterson RA, Merino MC (2003) Consumer information search behavior and the Internet. Psychol Mark 20(2):99–121
Pihlström M, Brush GJ (2008) Comparing the perceived value of information and entertainment mobile services. Psychol Mark 25(August):732–755
Pura M (2005) Linking perceived value and loyalty in location-based mobile services. Manag Serv Qual 15(6):509–538
Richardson HJ (2009) A ‘smart house’ is not a home: the domestication of ICTs. Inf Syst Front 11(5):599–608
Robey D (1979) User attitudes and management information system use. Acad Manag J 22(3):527–538
Rogers WA, Meyer B, Walker N, Fisk AD (1998) Functional limitations to daily living tasks in the aged: a focus group analysis. Hum Fact J Hum Fact Ergon Soc 40(1):111–125
Sánchez-Fernández R, Iniesta-Bonillo MÁ (2007) The concept of perceived value: a systematic review of the research. Mark Theory 7(4):427–451
Sheth JN, Newman BI, Gross BL (1991) Why we buy what we buy: a theory of consumption values. J Bus Res 22(2):159–170
Spillman BC, Pezzin LE (2000) Potential and active family caregivers: changing networks and the ‘sandwich generation’. Milbank Q 78(3):347–374
Thong JY, Hong SJ, Tam KY (2006) The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. Int J Hum Comput Stud 64(9):799–810
Turel O, Serenko A, Bontis N (2007) User acceptance of wireless short messaging services: deconstructing perceived value. Inf Manag 44(1):63–73
Yang Z, Cai S, Zhou Z, Zhou N (2005) Development and validation of an instrument to measure user perceived service quality of information presenting web portals. Inf Manag 42(4):575–589
Yoo Y (2010) Computing in everyday life: a call for research on experiential computing. MIS Q 34(2):213–231
Yoon C, Kim S (2007) Convenience and TAM in a ubiquitous computing environment: the case of wireless LAN. Electron Commerce Res Appl Electron Commer Res Appl 6(1):102–112
Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci 46(2):186–204
Wei R (2008) Motivations for using the mobile phone for mass communications and entertainment. Telem Inform 25(1):36–46
Wei R, Lo VH (2006) Staying connected while on the move Cell phone use and social connectedness. New Media Soc 8(1):53–72
Zhang J, Mao E (2008) Understanding the acceptance of mobile SMS advertising among young Chinese consumers. Psychol Mark 25(8):787–805
Zeithaml VA (1988) Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. J Mark 52(July):2–22
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Lee, E., Han, S. Mobile service consumption values: an exploratory mixed-method study. Inf Technol Manag 18, 253–264 (2017). https://doi.org/10.1007/s10799-016-0263-7
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DOI: https://doi.org/10.1007/s10799-016-0263-7