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Measuring propensity of online purchase by using the tam model: evidence from italian university students

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study aims to investigate the dynamics of online purchasing behavior through the analysis of a sample of students from Italy. The objective is twofold: firstly, to outline a descriptive picture of the type of relationship with the web and the use of the TAM model to highlight the propensity to use electronic commerce by the analyzed sample. An interesting evidence is the prevalence of using the Internet for social activities rather than for purchases. In fact, the propensity to purchase online is still very limited and mainly concerns cultural and tourist services rather than physical products. Mobile devices are the main devices for connecting students to the Web and, consequently, the most used for purchasing online.
Rocznik
Strony
32--52
Opis fizyczny
Bibliogr. 27 poz., fig., tab.
Twórcy
  • Faculty of Social Science, University of Castilla-La Mancha, Los Alfares Avenue 44, 16071 Cuenca, Spain
  • Department of Economics, University of Perugia, Pascoli Street 20, 06123 Perugia, Italy
  • Department of Economics, University of Macerata, S. Vincenzo Maria Strambi Square 1, 62100 Macerata, Italy
Bibliografia
  • [1] Adams, D.A., Nelson, R.R., & Todd, P. (1992). Perceived usefulness, ease of use, and usage of infor-mation technology: a replication. MIS Quarterly, 16(2), 227–247. http://doi.org/10.2307/249577
  • [2] Agarwal, R., & Karahanna, E. (2000). Times flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694. http://doi.org/10.2307/3250951
  • [3] Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50(2), 179–211. http://doi.org/10.1016/0749-5978(91)90020-T
  • [4] Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. New Jersey: Prentice Hall.
  • [5] Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 18, 74–94. http://doi.org/10.1007/BF02723327
  • [6] Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
  • [7] Borys, M., Czwórnóg, M., & Ratajczyk, R. (2016). Web analytics combined with eye tracking for successful user experience design: A case study. Applied Computer Science, 12(4), 96–110.
  • [8] Chang, H.H. (2010). Task-technology fit and user acceptance of online auction. International Journal of Human-Computer Studies, 68, 68–89. http://doi.org/10.1016/j.ijhcs.2009.09.010
  • [9] Chen, C.F., & Chen, P.C. (2011). Applying the TAM to travelers’ usage intentions of GPS devices. Expert Systems with Applications: An International Journal, 38, 6217–6221. http://doi.org/10.1016/j.eswa.2010.11.047
  • [10] Chen, L., Gilleson, M.L., & Sherrel, D.L. (2002). Enticing Online Consumers: An Extended Technology Acceptance Perspective. Information & Management, 39, 705–719. http://doi.org/10.1016/S0378-7206(01)00127-6
  • [11] Chen, S.C., & Dhillon, G.S. (2003). Interpreting dimensions of consumer trust in e-commerce. Infor-mation Technology and Management, 4(2), 303–318. http://doi.org/10.1023/A:1022962631249
  • [12] Cherubini, S., & Pattuglia, S. (2012). Social Media Marketing: consumatori, imprese, relazioni, Milan: Franco Angeli.
  • [13] Cheung, C.M.K., & Thadani, D.R. (2012). The impact of electronic word-of-mouth communication. A literature analysis and integrative model. Decision Support System, 54(1), 461–470. http://doi.org/10.1016/j.dss.2012.06.008
  • [14] Cheung, C.M.K., Liu, I.L.B., & Lee, M.K.O. (2015). How Online Social Interactions Influence Customer Information Contribution Behavior in Online Social Shopping Communities: A Social Learning Theory Perspective. Journal of the Association for Information Science and Technology, 66(12), 2511–2521. http://doi.org/10.1002/asi.23340|
  • [15] Chin, W. (1998). The partial least square approach to structural equation modelling. In G. Marcoulide (Ed.), Modern Methods for Business Research (pp. 295–369). Mahawah, United States: Lawrence Erlbaum.
  • [16] Chin, W.W., & Todd, P. (1995). On the use, usefulness, and ease of use of structural equation modelling in MIS research: a note of caution. MIS Quarterly, 19(2), 237–246. http://doi.org/10.2307/249690
  • [17] Compeau, D.R., & Higgins, C. (1995). Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19(2), 189–211. http://doi.org/10.2307/249688
  • [18] Cova, B. (2002). Tribal marketing: the tribalization of society and its impact on the conduct of marketing. European Journal of Marketing, 36, 595–620. http://doi.org/10.1108/03090560210423023
  • [19] Cronbach, L.J. (1970). Essentials of psychological testing. New York, USA: Harper and Row.
  • [20] Cuomo, M.T., Metallo, G., & Tortora, D. (2011). Opportunità, limiti e criticità dei social network. Esperienze d’Impresa, 2, 25–48.
  • [21] Dalli, D., & Romani, S. (2004). Il comportamento del consumatore. Acquisti e consumi in una prospettiva di marketing. Milan: Franco Angeli.
  • [22] Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. http://doi.org/10.2307/249008
  • [23] Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003. http://doi.org/10.1287/mnsc.35.8.982
  • [24] Eden, D. (1992). Leadership and expectations: pygmalion effects and other self-fulfilling prophecies in organizations. Leadership Quarterly, 3(4), 271–305. http://doi.org/10.1016/1048-9843(92)90018-B
  • [25] Falk, R.F., & Miller, N.B. (1992). A Primer for Soft Modelling. Akron, Ohio: The University of Akron Press.
  • [26] Fenech, T., & O’Cass, A. (2001). Internet Users’ Adoption of Web Retailing: User and Product Dimensions. Journal of Product and Brand Management, 10(6), 361–381. http://doi.org/10.1108/EUM0000000006207
  • [27] Fornell, C., & Larcker, D. (1981). Evaluating structural equations models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50. http://doi.org/10.2307/3151312
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d6fe225c-f589-4bc2-9adf-be9a84534f51
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