Abstract
This study investigates consumer intentions within the smartphone app environment. More specifically, it studies the factors influencing the intention to use banking apps based on the smartphone by employing the information system success model and a revised technology acceptance model. The study examines how quality factors and attitudes toward mobile apps-based banking influence the intention to use banking apps, and whether trust influences the relationship between quality factors and intention to use. In it, we collect data from 520 users and estimate the structural model. The results indicate that attitudes to mobile apps-based banking, as well as information and service quality, affect consumers’ intention to use banking apps. We further confirm that three particular quality factors, moderated by trust, affect the intention to use these apps. This study helps to explain consumers’ mobile apps-based banking behaviours, by combining the information system success model with a technology acceptance model.
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References
Ajzen I (1991) The theory of planned behaviour. Organ Behav Hum Decis Process 50(2):179–211
Alsajjan B, Dennis C (2010) Internet banking acceptance model: cross-market examination. J Bus Res 63:957–963
Bank of Korea (2013) 3rd quarter Internet banking service usage state in Korea. http://www.bok.or.kr. Accessed 20 March 2014
Chen HJ (2012) Clarifying the empirical connection of new entrants’ e-learning systems use to their job adaptation and their use patterns under the collective–individual training environment. Comput Educ 58(1):321–337
Chen CWD, Cheng CYJ (2009) Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model. Behav Inf Technol 28(4):335–345
Chen JV, Rungruengsamrit D, Rajkumar TM, Yen DC (2013) Success of electronic commerce Web sites: a comparative study in two countries. Inf Manag 50:344–355
Cheng YM (2012) Effects of quality antecedents on e-learning acceptance. Internet Res 22(3):361–390
Chung N, Kwon SJ (2009) Effect of trust level on mobile banking satisfaction: a multi-group analysis of information system success instruments. Behav Inf Technol 28(6):549–562
Curran JM, Meuter ML (2005) Self-service technology adoption: comparing three technologies. J Serv Mark 19(2):103–113
Dahlberg T, Mallat N, Ondrus J, Zmijewsak A (2008) Past, present and future of mobile payments research: a literature review. Electron Commer Res Appl 7(2):165–181
Davis FD, Bagozzi R, Warshaw P (1989) User acceptance of computer technology: a comparison of two theoretical models. Manag Sci 35(8):982–1003
DeLone WD, McLean ER (1992) Information systems success: the quest for the dependent variable. Inf Syst Res 3(1):60–95
DeLone WD, McLean ER (2003) The DeLone and McLean model of information systems success: a ten-year update. J Manag Inf Syst 19(4):9–30
Dickinger A, Kleijnen M (2008) Coupons going wireless: determinants of consumer intentions to redeem mobile coupons. J Interact Mark 22(3):24–39
Durvasula S, Lysonski S, Mehta SC, Tang BP (2004) Forging relationships with services: the antecedents that have an impact on behavioural outcomes in the life insurance industry. J Financ Serv Mark 8(4):314–326
Ellahi A, Bokhari RH (2013) Key quality factors affecting users’ perception of social networking websites. J Retail Consum Serv 20:120–129
Elliot S, Li G, Choi C (2013) Understanding service quality in a virtual travel community environment. J Bus Res 66:1153–1160
Eom S, Ashill NJ, Arbaugh JB, Stapleton JL (2012) The role of information technology in e-learning systems success. Hum Syst Manag 31(3):147–163
Ha I, Yoon Y, Choi M (2007) Determinants of adoption of mobile games under mobile broadband wireless access environment. Inf Manag 44(3):276–286
Hsu CL, Lin JCC (2008) Acceptance of blog usage: the roles of technology acceptance, social influence and knowledge sharing motivation. Inf Manag 45(1):65–74
Ives B, Olson MH, Baroundi JJ (1983) The measurement of user information satisfaction. Commun ACM 26(10):785–793
Jarvenpaa SL, Shaw TR, Sandy DS (2004) Toward contextualized theories of trust: the role of trust in global virtual teams. Inf Syst Res 15(3):250–267
Jung Y, Perez-Mira B, Wiley-Patton S (2009) Consumer adoption of mobile TV: examining psychological flow and media content. Comput Hum Behav 25(1):123–129
Junglas I, Abraham C, Watson RT (2008) Task-technology fit for mobile locatable information systems. Decis Support Syst 45(4):1046–1057
Juniper Research (2013) Mobile banking handset and tablet market strategies 2013–2017. Juniper Research
Khan MZA, Khan S (2012) Internet versus mobile banking: a study of Peshawar city. J Internet Bank Commer 17(3):1–13
Khayun V, Ractham P, Firpo D (2012) Assessing e-excise success with DeLone and McLean’s model. J Comput Inf Syst 52(3):31–40
Kim HW, Xu Y, Koh J (2004) A comparison of online trust building factors between potential customers and repeat customers. J Assoc Inf Syst 5(10):392–420
Kleijnen MHP, de Ruyter K, Wetzels MGM (2007) An assessment of value creation in mobile service delivery and the moderating role of time consciousness. J Retail 83(1):33–46
Lee MC (2009) Factors influencing the adoption of internet banking: an integration of TAM and TPB with perceived risk and perceived benefit. Electron Commer Res Appl 8:130–141
Lee YK, Park JH, Chung N, Blakeney A (2012) A unified perspective on the factors influencing usage intention toward mobile financial services. J Bus Res 65:1590–1599
Li Y, Duan Y, Fu Z, Alford P (2012) An empirical study on behavioural intention to reuse e-learning systems in rural China. Br J Educ Technol 43(6):933–948
Liang CJ, Chen HJ (2009) A study of the impacts of website quality on customer relationship performance. Total Qual Manag 20(9):971–988
Liao Z, Cheung T (2002) Internet-based e-banking and consumer attitudes: an empirical study. Inf Manag 39(4):283–295
Lin HF (2007) Measuring online learning systems success: appling the updated DeLone and McLean model. Cyberpsychol Behav 10(6):817–820
Lin HF, Lee GG (2006) Determinants of success for online communities: an empirical study. Behav Inf Technol 25(6):479–488
Lin JCC, Lu H (2000) Towards an understanding of the behavioral intention to use a web site. Int J Inf Manag 20(3):197–208
Lin F, Fofanah SS, Liang D (2011) Assessing citizen adoption of e-Government initiatives in Gambia: a validation of the technology acceptance model in information systems success. Gov Inf Q 28:271–279
Lu HP, Su PYJ (2009) Factors affecting purchase intention on mobile shopping web sites. Internet Res 19(4):442–458
Lu J, Liu C, Yu CS, Wang K (2008) Determinants of accepting wireless mobile data services in China. Inf Manag 45(1):52–64
Mallat N, Rossi M, Tuunainen VK, Oorni A (2009) The impact of use context on mobile services acceptance: the case of mobile ticketing. Inf Manag 46(3):190–195
Mennecke B, Strader T (2001) Where in the world on the web does location matter? A framework for location based services in m-commerce. Proceedings of the Seventh Americas Conference on Information Systems, pp 450–455
Mohammadi H (2015) Investigating users’ perspectives on e-learning: an integration of TAM and IS success model. Comput Hum Behav 45(4):359–374
Nor KM, Pearson JM (2007) The influence of trust on internet banking acceptance. J Internet Bank Commer 12(2):1–10
Parasuraman A, Grewal D (2000) The impact of technology on the quality-value-loyalty chain: a research agenda. J Acad Mark Sci 28(1):168–174
Parasuraman A, Zeithaml V, Berry L (1985) A conceptual model of service quality and its implications for future research. J Mark 49(4):41–50
Park Y, Chen JV (2007) Acceptance and adoption of the innovative use of smartphone. Ind Manag Data Syst 107(9):1349–1365
Park M, Choi Y, Eom J, Chung T (2014) Dangerous Wi-Fi access point: attacks to benign smartphone applications. Pers Ubiq Comput 18(6):1373–1386
Pitt L, Watson R, Kavan CB (1995) Service quality: a measure of information systems effectiveness. MIS Q 19(2):173–187
Rogers EM (1995) Diffusion of innovations. The free press, New York
Schierz PG, Schilke O, Wirtz B (2010) Understanding consumer acceptance of mobile payment services: an empirical analysis. Electron Commer Res Appl 19(3):209–216
Sedden PB (1997) A respecification and extension of the DeLone and McLean model of IS Success. Inf Syst Res 8(3):240–253
Shih HP (2004) An empirical study on predicting user acceptance of e-shopping on the Web. Inf Manag 41(3):351–368
Singh S, Srivastava V, Srivastava RK (2010) Customer acceptance of mobile banking: a conceptual framework. SIES J Manag 7(1):55–64
Suh B, Han I (2002) Effect of trust on customer acceptance of Internet banking. Electron Commer Res Appl 1(3/4):247–263
The Bank of Korea (2015) The utilization on the Internet banking services in 2014. http://www.bok.or.kr/contents/total/ko/boardView.action?menuNaviId=559&boardBean.brdid=114339&boardBean.menuid=559. Accessed 25 February 2015
Wang YS (2008) Assessing e-commerce systems success: a respecification and validation of the DeLone and MeLean model of IS success. Inf Syst J 18(5):529–557
Xu J (2013) Integrating service quality with system and information quality: an empirical test in the e-service context. MIS Q 33(3):777–794
Xue M, Hitt LM, Chen P (2011) Determinants and outcomes of internet banking adoption. Manag Sci 57(2):291–307
Yang K, Jolly LD (2009) The effects of consumer perceived value and subjective norm on mobile data service adoption between American and Korean consumers. J Retail Consum Serv 16:502–508
Zhou T (2011) An empirical examination of initial trust in mobile banking. Internet Res 21(5):527–540
Zhou T, Lu Y, Wang B (2010) Integrating TTF and UTAUT to explain mobile banking user adoption. Comput Hum Behav 26(3):760–767
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Noh, M.J., Lee, K.T. An analysis of the relationship between quality and user acceptance in smartphone apps. Inf Syst E-Bus Manage 14, 273–291 (2016). https://doi.org/10.1007/s10257-015-0283-6
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DOI: https://doi.org/10.1007/s10257-015-0283-6