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Antecedents of intention to use CUSS system: moderating effects of self-efficacy

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Abstract

The current research attempts to examine the antecedent factors of personal innovativeness, switching costs, and switching barriers affecting flight passengers’ attitude toward the common-use self-service (CUSS) usage which in turn affects their behavioral intention. This research also tests the moderating effect of self-efficacy on the relationships between the antecedents and attitude toward CUSS usage. The results from a survey of 523 respondents from the Taiwanese Taoyuan International Airport indicate that the antecedent factors of personal innovativeness and switching barriers have positive and negative influences, respectively on attitude toward CUSS usage which in turn positively affects the behavioral intention. In addition, self-efficacy plays an important moderating role on the relationships between switching barriers and switching costs on attitude toward CUSS usage. In this article, personal innovativeness is investigated on affecting consumer behavior in the acceptance of IT related innovations. Implications for future research are discussed and limitations noted.

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References

  • 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

    Article  Google Scholar 

  • Ajzen I (1991) The theory of planned behavior. Org Behav Hum Decis Process 50(2):179–211

    Article  Google Scholar 

  • Ajzen I, Fishbein M (1980) Understanding attitude and predicting social behavior. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  • Ajzen I, Madden TJ (1986) Prediction of goal-directed behavior: attitude, intentions, and perceived behavioral control. J Exp Soc Psychol 22(5):453–474

    Article  Google Scholar 

  • Bandura A (1982) Self-efficacy mechanism in human agency. Am Psychol 37(2):122–147

    Article  Google Scholar 

  • Bandura A (1997) Self-efficacy: the exercise of control. W.H. Freeman & Co., New York

    Google Scholar 

  • Benbasat I, Barki H (2007) Quo vadis, TAM? J Assoc Inf Syst 8(4):2116–2118

    Google Scholar 

  • Bhattacherjee A (2001) Understanding information systems continuance: an expectation confirmation model. MIS Q. 25(3):351–370

    Article  Google Scholar 

  • Buell RW, Campbell D, Frei F (2010) Are self-service customers satisfied or stuck? Prod Oper Manag 19(6):679–697

    Article  Google Scholar 

  • Chang HH, Chen SW (2008) The impact of customer interface quality satisfaction and switching costs on e-loyalty: Internet experience as a moderator. Comput Hum Behav 24(6):2927–2944

    Article  Google Scholar 

  • Chang HL, Yang CH (2008) Do airline self-service check-in kiosks meet the needs of passengers? Tour Manag 29(5):980–993

    Article  Google Scholar 

  • Chea S, Luo MM (2006) E-service customer retention: the roles of negative affectivity and perceived switching costs. J Inf Sci Technol 3(2):5–21

    Google Scholar 

  • Dabholkar PA, Bagozzi RP (2002) An attitudinal model of technology-based self-service: moderating effects of consumer traits and situational factors. J Acad Mark Sci 30(3):184–201

    Article  Google Scholar 

  • Dabholkar PA, Swartz TA, Bowen DE, Brown W (1994) Technology-based service delivery: a classification scheme for developing marketing strategies. Adv Serv Mark Manag 3(1):241–271

    Google Scholar 

  • Davis FD (1986) A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology

  • Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3):319–340

    Article  Google Scholar 

  • Ellett AJ (2009) Intentions to remain employed in child welfare: the role of human caring, self-efficacy beliefs, and professional organizational culture. Child Youth Serv Rev 31(1):78–88

    Article  Google Scholar 

  • Elliott KM, Hall MC (2005) Assessing consumers’ propensity to embrace self-service technologies: Are there gender differences? Mark Manag J 15(2):98–107

    Google Scholar 

  • Flynn LR, Goldsmith RE (1993) A validation of the Goldsmith and Hofacker innovativeness scale. Educ Psychol Meas 53(4):1105–1116

    Article  Google Scholar 

  • Gerbing DW, Anderson JC (1988) An updated paradigmfor scale development incorporating unidimensionality and its assessment. J Mark Res 25(2):186–192

    Article  Google Scholar 

  • Hair JF Jr, Anderson RE, Tatham RL, Black WC (2010) Multivariate data analysis. Prentice Hall, Upper Saddle River

    Google Scholar 

  • Hasan B (2006) Delineating the effects of general and system-specific computer self-efficacy beliefs on is acceptance. Inf Manag 43(5):565–571

    Article  Google Scholar 

  • Hayashi A, Chen C, Ryan T, Wu J (2004) The role of social presence and moderating role of computer self efficacy in predicting the continuance usage of e-learning systems. J Inf Syst Educ 15(2):139–154

    Google Scholar 

  • Hirschman EC (1980) Innovativeness, novelty seeking and consumer creativity. J Consum Res 7(3):283–295

    Article  Google Scholar 

  • Hong WY, Thong YL, Wong WM, Tam KY (2002) Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics. J Manag Inf Syst 18(3):97–124

    Google Scholar 

  • Hong SJ, Thong YL, Tam KY (2006) Understanding continued information technology usage behavior: a comparison of three models in the context of mobile internet. Decis Support Syst 42(3):1819–1834

    Article  Google Scholar 

  • Hong SG, Kim JK, Lee HS (2008) Antecedents of use-continuance in information systems: toward an integrative view. J Comput Inf Syst 48(3):61–73

    Google Scholar 

  • Hsu MH, Chiu CM (2004) Internet self-efficacy and electronic service acceptance. Decis Support Syst 38(3):369–381

    Article  Google Scholar 

  • Hsu CL, Lu HP (2004) Why do people play on-line games? An extended TAM with social influences and flow experience. Inf Manag 41(7):853–868

    Article  Google Scholar 

  • Hung SY, Ku CY, Chang CM (2003) Critical factors of WAP services adoption: an empirical study. Electron Commer Res Appl 2(1):42–60

    Article  Google Scholar 

  • Imhof M, Vollmeyer R, Beierlein C (2007) Computer use and the gender gap: the issue of access, use, motivation, and performance. Comput Hum Behav 23(6):2823–2837

    Article  Google Scholar 

  • Jashapara A, Tai WC (2011) Knowledge mobilization through e-learning systems: understanding the mediating roles of self-efficacy and anxiety on perceptions of ease of use. Inf Syst Manag 28(1):71–83

    Article  Google Scholar 

  • Johnson EJ, Payne JW (1985) Effort and accuracy in choice. Manag Sci 31(4):395–414

    Article  Google Scholar 

  • Johnson DS, Bardhi F, Dunn DT (2008) Understanding how technology paradoxes affect customer satisfaction with self-service technology: the role of performance ambiguity and trust in technology. Psychol Mark 25(5):416–443

    Article  Google Scholar 

  • Johnston A, Warkentin M (2010) Fear appeals and information security behaviors: an empirical study. MIS Q. 34(3):549–566

    Google Scholar 

  • Jones MA, Mothersbaugh DL, Beatty SE (2000) Switching barrier and repurchase intentions in services. J Retail 76(2):259–274

    Article  Google Scholar 

  • Kim J, Forsythe S (2008) Sensory enabling technology acceptance model (SE-TAM): a multiple-group structural model comparison. Psychol Mark 25(9):901–922

    Article  Google Scholar 

  • Kim HW, Kankanhalli A (2009) Investigating user resistance to information systems implementation: a status Quo bias perspective. MIS Q. 33(3):556–582

    Google Scholar 

  • Kim MK, Park MC, Jeong DH (2004) The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommun Policy 28(2):145–159

    Article  Google Scholar 

  • Kinard BR, Capella ML, Kinard JL (2009) The impact of social presence on technology based self-service use: the role of familiarity. Serv Mark Q. 30(3):303–314

    Article  Google Scholar 

  • Kwon O, Kim M (2007) User acceptance of context-aware services: self-efficacy, user innovativeness and perceived sensitivity on contextual pressure. Behav Inf Technol 26(6):483–498

    Article  Google Scholar 

  • Lewis W, Agarwal R, Sambamurthy V (2003) Sources of influence on beliefs about information technology use: an empirical study of knowledge workers. MIS Q. 27(4):657–678

    Google Scholar 

  • Lim J (2012) Attribution of service failures with SST (self-service technology). Does it matter? RevBus Res 12(1):80–89

    Google Scholar 

  • Marcoulides GA (1998) Modern methods for business research. Lawrence Erlbaum Associates Inc, Mahwah

    Google Scholar 

  • Marler JH, Fisher SL, Ke W (2009) Employee self-service technology acceptance: a comparison of pre-implementation and post-implementation relationships. Pers Psychol 62(2):327–358

    Article  Google Scholar 

  • Meuter ML, Ostrom AL, Roundtree RI, Bitner MJ (2000) Self-service technologies: understanding customer satisfaction with technology-based service encounters. J Mark 64(3):50–64

    Article  Google Scholar 

  • Meuter ML, Bitner MJ, Ostrom AL, Brown SW (2005) Choosing among alternative service delivery modes: an investigation of customer trial of self-service technologies. J Mark 69(2):61–83

    Article  Google Scholar 

  • Morton N, Koufteros X (2008) Intention to commit online music piracy and its antecedents: an empirical investigation. Struct Equ Model 15:491–512

    Article  Google Scholar 

  • Mullen MR (1995) Diagnosing measurement equivalence in cross-national research. J Int Bus Stud 26(3):573–596

    Article  Google Scholar 

  • Natarajan T, Balasubramanian SA, Manickavasagam S (2010) Customer’s choice amongst self service technology (SST) channels in retail banking: a study using analytical hierarchy process (AHP). J Internet Banking Commer 15(2):1–16

    Google Scholar 

  • Ngai EWT, Poon JKL, Chan YHC (2007) Empirical examination of the adoption the WebCT using TAM. Comput Educ 48(2):250–267

    Article  Google Scholar 

  • Pavlou P, Fygenson M (2006) Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior. MIS Q. 30(1):115–143

    Google Scholar 

  • Polites G, Karahanna E (2012) Shackled to the Status Quo: the inhibiting effects of incumbent system habit, switching costs, and inertia on new system acceptance. MIS Q. 36(1):21–42

    Google Scholar 

  • Ray G, Muhanna WA, Barney JB (2005) Information technology and the performance of the customer service process: a resource-based analysis. MIS Q. 29(4):625–652

    Google Scholar 

  • Rodrigues MA, Proenca J (2010) SST and the consumer behavior in portuguese financial services, working paper (FEP). Universidade do porto 261:1–19

    Google Scholar 

  • Roehrich G (2004) Consumer innovativeness concepts and measurements. J Bus Res 57(6):671–677

    Article  Google Scholar 

  • Rogers EM (1995) Diffusion of innovations, vol 4. Free Press, New York

    Google Scholar 

  • Rust RT, Kannan PK (2003) E-service: a new paradigm for business in the electronic environment. Commun ACM 46(6):36–42

    Article  Google Scholar 

  • Sharma N, Patterson PG (2000) Switching costs, alternative attractiveness and experience as moderators of relationship commitment in professional consumer services. Int J Serv Ind Manag 11(5):470–490

    Article  Google Scholar 

  • Sharma R, Yetton P, Crawford J (2009) Estimating the effect of common method variance: the method-method pair technique with an illustration from TAM research. MIS Q. 33(3):473–490

    Google Scholar 

  • Simon F, Usunier JC (2007) Cognitive, demographic, and situational determinants of service customer preference for personnel-in-contact over self-service technology. Int J Res Mark 24(2):163–173

    Article  Google Scholar 

  • Thatcher JB, Perrewé PL (2002) An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Q. 26(4):381–396

    Article  Google Scholar 

  • Titah R, Barki H (2009) Nonlinearities between attitude and subjective norms in information technology acceptance: A negative synergy? MIS Q. 33(4):827–844

    Google Scholar 

  • Valenzuela F, Person D, Epworth R (2005) Influence of switching barriers on service recovery evaluation. J Serv Res 6((Special Issue)):239–257

    Google Scholar 

  • Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q. 27(3):425–478

    Google Scholar 

  • Wang CY (2009) Investigating antecedents of consumers’ recommend intentions and the moderating effect of switching barriers. Serv Ind 29(9):1231–1241

    Article  Google Scholar 

  • Wu JH, Chen YC, Lin LM (2007) Empirical evaluation of the revised end user computing acceptance model. Comput Hum Behav 23(1):162–174

    Article  Google Scholar 

  • Xue L, Ray G, Sambamurthy V (2012) Efficiency or innovation: How do industry environments moderate the effects of firms’ IT asset portfolios? MIS Q. 36(2):509–528

    Google Scholar 

  • Yang K (2010) The effects of technology self-efficacy and innovatioveness on consumer mobile data service adoption between American and Korean consumers. J Int Consum Mark 22(117):117–127

    Article  Google Scholar 

  • Yi Y, Gong T (2008) The electronic service quality model: the moderating effect of customer self-efficacy. Psychol Mark 25(7):587–601

    Article  Google Scholar 

  • Yi Y, Wu Z, Tung LL (2006) How individual differences influence technology usage behavior? Toward an integrated framework. J Comput Inf Syst 46(2):52–63

    Google Scholar 

  • Yim CK, Chan KW, Lam SK (2012) Do customers and employees enjoy service participation? Synergistic effects of self-and other-efficacy. J Mark 76(6):121–140

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Management Sciences, Tamkang University, New Taipei, Taiwan

    Lily Shui-Lien Chen

  2. Department of Business Administration, Hsing Wu University, New Taipei, Taiwan

    Karen Iee-Fung Wu

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  1. Lily Shui-Lien Chen
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  2. Karen Iee-Fung Wu
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Correspondence to Karen Iee-Fung Wu.

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Chen, L.SL., Wu, K.IF. Antecedents of intention to use CUSS system: moderating effects of self-efficacy. Serv Bus 8, 615–634 (2014). https://doi.org/10.1007/s11628-013-0210-1

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  • DOI: https://doi.org/10.1007/s11628-013-0210-1

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