Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2017 | 2 | 91-116

Article title

The Impact of Moderators and Trust on Consumer’s Intention to Use a Mobile Phone for Purchases

Content

Title variants

Languages of publication

EN

Abstracts

The Impact of Moderators and Trust on Consumer’s Intention to Use a Mobile Phone for Purchases

Year

Issue

2

Pages

91-116

Physical description

Dates

published
2017-06-15

Contributors

  • University of Warsaw

References

  • Boundless Psychology (2016). Criticisms of the Social-Cognitive Perspectives on Personality, https:// www.boundless.com/psychology/textbooks/boundless-psychology-textbook/personality-16/ social-cognitive-perspectives-on-personality-81/criticisms-of-the-social-cognitive-pespective-on-personality-316-12851/ (21.02.2017).
  • Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50: 179–211, https://doi.org/10.1016/0749-5978(91)90020-T
  • Alazzam, M.B. et al. (2016). Trust in stored data in EHRs acceptance of medical staff: using UTAUT2. International Journal of Applied Engineering Research, 11(4): 2737–2748.
  • Albugami, M. and Bellaaj, M. (2014). The continued use of internet banking – combining UTAUT2 theory and service quality model. Journal of Global Management Research, 10(1): 11–28.
  • An, L., Han, Y. and Tong, L. (2016). Study on the Factors of Online Shopping Intention for Fresh Agricultural Products Based on UTAUT2. Chongqing, Atlantis Press, https://doi.org/10.2991/itoec-16.2016.57
  • Bagozzi, R.P. (1992). The self regulation of attitudes, intentions, and behavior. Social Psychology Quarterly, 55: 178–204, https://doi.org/10.2307/2786945
  • Bagozzi, R.P. and Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1): 74–94, https://doi.org/10.1007/BF02723327
  • Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs: Prentice-Hall Inc.
  • Baptista, G. and Oliveira, T. (2015). Understanding mobile banking: The unifed theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50: 418–430, https://doi.org/10.1016/j.chb.2015.04.024
  • Batorski, D. (2015). Korzystanie z mediów 2015. Diagnoza społeczna 2015. Warunki i jakość życia Polaków, konferencja prasowa PAP, Warszawa.
  • Chae, M. and Kim, J. (2003). What’s so different about the mobile Internet? Communications of the ACM, 46(12): 240–247, https://doi.org/10.1145/953460.953506
  • Chau, P.Y.K. and Hui, K.L. (1998). Identifying Early Adopters of New IT Products: A Case of Windows 95. Information & Management, 33(5): 225–230, https://doi.org/10.1016/S0378-7206(98)00031-7
  • Chin, W., Marcolin, B. and Newsted, P. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14: 189–217. https://doi.org/10.1287/isre.14.2.189.16018
  • Chuttur, M. (2009). Overview of the Technology Acceptance Model: Origins, Developments and Future Directions. Sprouts: Working Papers on Information Systems, 9(37): 1–22.
  • Compeau, D.R. and Higgins, C.A. (1995). Computer self-effcacy: development of a measure and initial test. MIS Quarterly, 19(2): 189–211, https://doi.org/10.2307/249688
  • Cruz, P., Neto, L., Munoz-Gallego, P. and Laukkanen, T. (2010). Mobile banking rollout in emerging markets: evidence from Brazil. International Journal of Bank Marketing, 28(5): 342–371, https://doi.org/10.1108/02652321011064881
  • Czapiński, J. and Panek, T. (2015). Diagnoza społeczna 2015. Warunki i jakość życia Polaków. Warszawa: Rada Monitoring Społecznego.
  • Davis, F. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and results. Cambridge: Unpublished Doctoral dissertation, MIT Sloan School of Management.
  • Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14): 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  • Escobar-Rodríguez, T. and Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unifed theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43: 70–88, https://doi.org/10.1016/j.tourman.2014.01.017
  • Falk, F.R. and Miller, N.B. (1992). A Primer for Soft Modeling. 1st ed. Akron: The University of Akron.
  • Fishbein, M. (2008). A Reasoned Action Approach to Health Promotion. Medical Decision Making, 28(6): 834–844, https://doi.org/10.1177/0272989X08326092
  • Fishbein, M. and Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading: Addison-Wesley.
  • Fornell, C. and Larcker, D.F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1): 39–50, https://doi.org/10.2307/3151312
  • Gaitan-Arenas, J., Peral-Peral, B. and Ramon-Jeronimo, M.A. (2015). Elderly and Internet Banking: An Application of UTAUT2. Journal of Internet Banking and Commerce, 20(1): 1–23.
  • Garson, G. (2016). Partial Least Square: Regression and Structural Equation Models. 1st ed. Asheboro: Statistical Publishing Associates.
  • Gefen, D., Karahanna, E. and Straub, D.W. (2003). Trust and TAM in online shopping. MIS Quarterly, 27(1): 51–90.
  • Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 27: 725–737, https://doi.org/10.1016/S0305-0483(00)00021-9
  • Hair, J.F., Hult, G.T.M., and Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 1st ed. Thousand Oaks: Sage.
  • Hair, J.F.J., Sarstedt, M.H.L. and Kuppelwieser, V.G. (2014). Partial least squares structural equation modeling (PLS-SEM). An emerging tool in business research. European Business Review, 26(2): 106–121, https://doi.org/10.1108/EBR-10-2013-0128
  • Hair, J.F., Ringle, C.M. and Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2): 139–151, https://doi.org/10.2753/MTP1069-6679190202
  • Hair, J.F., Sarstedt, M., Ringle, C.M. and Mena, J.A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40: 414–433, https://doi.org/10.1007/s11747-011-0261-6
  • Hart, P. and Saunders, C. (1997). Power and Trust: Critical Factors in the Adoption and Use of Electronic Data Interchange. Organization Science, 8(1): 23–42, https://doi.org/10.1287/orsc.8.1.23
  • Henseler, J., Ringle, C.M. and Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3): 405–431, https://doi.org/10.1108/IMR-09-2014-0304
  • Henseler, J., Ringle, C. and Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20: 277–319, https://doi.org/10.1108/S1474-7979(2009)0000020014
  • Hulland, J. (1999). Use of Partial Least Squares (PLS) in Strategic Management Research: A Review of Four Recent Studies. Strategic Management Journal, 20(2): 195–204. https://doi.org/10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
  • Hu, P.J., Chau, P.Y., Liu Sheng, O.R. and Tam, K.Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2): 91–112, https://doi.org/10.1080/07421222.1999.11518247
  • Indrawati and Haryoto, K.S. (2015). The Use of Modifed Theory of Acceptance and Use of Technology 2 to Predict Prospective Users’ Intention in Adopting TV Streaming. Istambuł, ICOCI: 206–215.
  • Indrawati and Marhaeni, G.A.M.M. (2015). Predicting instant messenger application adoption using a Unifed Theory of Acceptance and Use of Technology. Istambuł, International Conference on Computing and Informatics, ICOCI 2015.
  • Jarvenpaa, S.L., Tractinsky, N. and Saarinen, L. (1999). Consumer Trust in an Internet Store: A Cross-Cultural Validation. Journal of Computer-Mediated Communication, 5(2): 1–35, https://doi.org/10.1111/j.1083-6101.1999.tb00337.x
  • Klimontowicz, M. (2014). Rynek płatności mobilnych w Polsce – perspektywy rozwoju. Annales Universitatis Mariae Curie-Skłodowska, 48(3): 137–146, https://doi.org/10.17951/h.2015.48.3.137
  • Kossecki, P. and Świerczyńska-Kaczor, U. (2011). Trust in social networks. Journal of Management and Business Administration. Central Europe, 19(5): 97–113.
  • Kruger, D. and Byker, D. (2009). Evolved foraging psychology underlies sex differences in shopping experiences and behaviors. Journal of Social, Evolutionary and Cultural Psychology, 3(4): 315–327, https://doi.org/10.1037/h0099312
  • Labouvie-Vief, G. and Blanchard-Fields, F. (1982). Cognitive ageing and psychological growth. Aging and Society, 2: 183–209.
  • Lustig, C., Konkel, A. and Jacoby, L.L. (2004). Which Route to Recovery? Psychological Science, 15(11): 729–735, https://doi.org/10.1111/j.0956-7976.2004.00749.x
  • Mącik, R. (2013). Technologie informacyjne i komunikacyjne jako moderator procesów podejmowania decyzji zakupowych przez konsumentów. Lublin: Wydawnictwo Uniwersytetu Marii Curie- -Skłodowskiej.
  • McKnight, D.H., Choudhury, V. and Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. Journal of Strategic Information Systems, 11: 297–323, https://doi.org/10.1016/S0963-8687(02)00020-3
  • McKnight, H.D., Choudhury, V. and Kacmar, C. (2002). Developing and Validating Trust Measures for e-Commerce: An Integrative Typology. Information Systems Research, 13(3): 334–359, https://doi.org/10.1287/isre.13.3.334.81
  • Meyers-Levy, J. and Maheswaran, D. (1991). Exploring Differences in Males’ and Females’ Processing Strategy. Journal of Consumer Research, 18(1): 63–70, https://doi.org/10.1086/209241
  • mGenerator.pl (2014). Handel mobilny w praktyce 2014. 2 edycja raportu na temat rynku m-commerce w Polsce, UE i USA.
  • Mikowska, M. (2015). Polska jest Mobi, s.l.: Jestem mobi, http://www.tnsglobal.pl/coslychac/fles/2015/05/POLSKA_JEST_MOBI_2015.pdf
  • Moore, G.C. and Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3): 192–222, https://doi.org/10.1287/isre.2.3.192
  • Murray, K.B. and Haubl, G. (2007). Explaining Cognitive Lock-In: The Role of Skill-Based Habits of Use in Consumer Choice. Journal of Consumer Research, 34(1): 77–88, https://doi.org/10.1086/513048
  • Pavlou, P.A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7(3): 101–134.
  • Ringle, C., Wende, S. and Becker, J.-M. (2015). SmartPLS 3. Hamburg: http://www.smartpls.com.
  • Rogers, E.M. (1983). Diffusion of Innovations. 3rd ed. New York: The Free Press.
  • Rondan-Cataluna, J.F., Arenas-Gaitan, J. and Ramirez-Correa, P.E. (2015). A comparison of different versions of technology acceptance models. A non-linear perspective. Kybernetes, 44(5): 788–805, https://doi.org/10.1108/K-09-2014-0184
  • Rosen, P. (2005). The Effect of Personal Innovativeness on Technology Acceptance and Use. PhD Dissertation. Oklahoma City: Oklahoma State University.
  • Seock, Y.-K. and Bailey, L.R. (2008). The influence of college students’ shopping orientations and gender differences on online information searches and purchase behaviours. International Journal of Consumer Studies, 32: 113–121, https://doi.org/10.1111/j.1470-6431.2007.00647.x
  • Slade, E.L., Dwivedi, Y.K., Piercy, N.C. and Williams, M.D. (2015). Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk,and Trust. Psychology & Marketing, 32(8): 860–873, https://doi.org/10.1002/mar.20823
  • Slama, M. and Tashchian, A. (1985). Selected Socioeconomic and Demographic Characteristics Associated with Purchasing Involvement. Journal of Marketing, 49(1): 77–82, https://doi.org/10.2307/1251177
  • Taylor, S. and Todd, P. (1995). Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19(4): 561–570, https://doi.org/10.2307/249633
  • Thompson, R., Higgins, C. and Howell, J. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1): 124–143, https://doi.org/10.2307/249443
  • Tifferet, S. and Herstein, R. (2012). Gender differences in brand commitment, impulse buying, and hedonic consumption. Journal of Product & Brand Management, 21(3): 176–182, https://doi.org/10.1108/10610421211228793
  • Triandis, H. (1980). Values, Attitudes, and Interpersonal Behavior. In: Nebraska Symposium on Motivation (1979), Beliefs, Attitudes, and Values. Lincoln: University of Nebraska Press.
  • Trojanowski, M. and Kułak, J. (2016). Wpływ postrzeganego ryzyka na proces korzystania przez konsumentów z mobilnego handlu elektronicznego – rozszerzenie modelu UTAUT2. Warszawa: Uniwersytet Ekonomiczny w Poznaniu.
  • Van Slyke, C., Comunale, C.L. and Belanger, F. (2002). Gender Differences in Perceptions of WebBased Shopping. Communications of the ACM, 45(7): 82–86, https://doi.org/10.1145/545151.545155
  • Venkatesh, V. and Davis, F.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2): 186–204, https://doi.org/10.1287/mnsc.46.2.186.11926
  • Venkatesh, V., Morris, M. and Ackerman, P. (2000). A longitudinal feld investigation of gender differences in individual technology adoption decision-making processes. Organizational Behavior and Human Decision Processes, 83(1): 33–60, https://doi.org/10.1006/obhd.2000.2896
  • Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003). User Acceptance of Information Technology: Toward a Unifed View. MIS Quarterly, 27(3): 425–247.
  • Venkatesh, V., Thong, J.Y. and Xu, X. (2012). Consumer acceptance and use of information technology: Extending The Unifed Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1): 157–178.
  • Wong, C.-H., Tan, G. W.-H., Loke, S.-P. and Ooi, K.-B. (2014). Mobile TV: a new form of entertainment? Industrial Management & Data Systems, 114(7): 1050–1067, https://doi.org/10.1108/IMDS-05-2014-0146
  • Wong, K. K.-K. (2013). Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS. Marketing Bulletin, 24: 1–32.
  • Xu, X. (2014). Understanding Users’ Continued Use of Online Games: An Application of UTAUT2 in Social Network Games. Nicea, MMEDIA: 58–65.
  • Zeithaml, V.A. and Fuerst, W.L. (1983). Age Differences in Response to Grocery Store Price Information. The Journal of Consumer Affairs, 17(2): 402–420, https://doi.org/10.1111/j.1745-6606.1983.tb00311.x

Document Type

Publication order reference

YADDA identifier

bwmeta1.element.desklight-87625b6d-df8d-45c6-abeb-7c53a10a4dfd
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.