MEASURING PROPENSITY OF ONLINE PURCHASE BY USING THE TAM MODEL: EVIDENCE FROM ITALIAN UNIVERSITY STUDENTS

Maria CORDENTE-RODRIGUEZ

maria.cordente@uclm.es
Faculty of Social Science, University of Castilla-La Mancha, Los Alfares Avenue 44, 16071 Cuenca (Spain)

Simone SPLENDIANI


Department of Economics, University of Perugia, Pascoli Street 20, 06123 Perugia (Italy)

Patrizia SILVESTRELLI


Department of Economics, University of Macerata, S. Vincenzo Maria Strambi Square 1, 62100 Macerata (Italy)

Abstract

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.


Keywords:

e-commerce, online purchase, TAM model, Italian university students

Adams, D.A., Nelson, R.R., & Todd, P. (1992). Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly, 16(2), 227–247. http://doi.org/10.2307/249577
DOI: https://doi.org/10.2307/249577   Google Scholar

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
DOI: https://doi.org/10.2307/3250951   Google Scholar

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
DOI: https://doi.org/10.1016/0749-5978(91)90020-T   Google Scholar

Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. New Jersey: Prentice Hall.
  Google Scholar

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
DOI: https://doi.org/10.1007/BF02723327   Google Scholar

Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
  Google Scholar

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.
  Google Scholar

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
DOI: https://doi.org/10.1016/j.ijhcs.2009.09.010   Google Scholar

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
DOI: https://doi.org/10.1016/j.eswa.2010.11.047   Google Scholar

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
DOI: https://doi.org/10.1016/S0378-7206(01)00127-6   Google Scholar

Chen, S.C., & Dhillon, G.S. (2003). Interpreting dimensions of consumer trust in e-commerce. Information Technology and Management, 4(2), 303–318. http://doi.org/10.1023/A:1022962631249
DOI: https://doi.org/10.1023/A:1022962631249   Google Scholar

Cherubini, S., & Pattuglia, S. (2012). Social Media Marketing: consumatori, imprese, relazioni, Milan: Franco Angeli.
  Google Scholar

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
DOI: https://doi.org/10.1016/j.dss.2012.06.008   Google Scholar

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
DOI: https://doi.org/10.1002/asi.23340   Google Scholar

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.
  Google Scholar

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
DOI: https://doi.org/10.2307/249690   Google Scholar

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
DOI: https://doi.org/10.2307/249688   Google Scholar

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
DOI: https://doi.org/10.1108/03090560210423023   Google Scholar

Cronbach, L.J. (1970). Essentials of psychological testing. New York, USA: Harper and Row.
  Google Scholar

Cuomo, M.T., Metallo, G., & Tortora, D. (2011). Opportunità, limiti e criticità dei social network. Esperienze d’Impresa, 2, 25–48.
  Google Scholar

Dalli, D., & Romani, S. (2004). Il comportamento del consumatore. Acquisti e consumi in una prospettiva di marketing. Milan: Franco Angeli.
  Google Scholar

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
DOI: https://doi.org/10.2307/249008   Google Scholar

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
DOI: https://doi.org/10.1287/mnsc.35.8.982   Google Scholar

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
DOI: https://doi.org/10.1016/1048-9843(92)90018-B   Google Scholar

Falk, R.F., & Miller, N.B. (1992). A Primer for Soft Modelling. Akron, Ohio: The University of Akron Press.
  Google Scholar

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
DOI: https://doi.org/10.1108/EUM0000000006207   Google Scholar

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
DOI: https://doi.org/10.1177/002224378101800104   Google Scholar

Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega-International Journal of Management Science, 28(6), 725–737. http://doi.org/10.1016/S0305-0483(00)00021-9
DOI: https://doi.org/10.1016/S0305-0483(00)00021-9   Google Scholar

Gefen, D. (2003). TAM of Just Plain Habit: A Look at Experienced Online Shoppers. Journal of End User Computing, 15(3), 1–13. http://doi.org/10.4018/joeuc.2003070101
DOI: https://doi.org/10.4018/joeuc.2003070101   Google Scholar

Gefen, D., & Straub, D. (2000). The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption. Journal of the Association for Information Systems, 1(1). http://doi.org/10.17705/1jais.00008
DOI: https://doi.org/10.17705/1jais.00008   Google Scholar

Gefen, D., Rao, V.S., & Tractinsky, N. (2003). The conceptualization of trust, risk and their relationship in electronic commerce: The need of clarifications. 36th Annual Hawaii International Conference on Systems Sciences (HICSS’03).
DOI: https://doi.org/10.1109/HICSS.2003.1174442   Google Scholar

Gensler, S., Völckner, F., Liu-Thompkins, Y., & Wiertz, C. (2013). Managing Brands in the Social Media Environment. Journal of Interactive Marketing, 27(4), 242–256. http://doi.org/10.1016/j.intmar.2013.09.004
DOI: https://doi.org/10.1016/j.intmar.2013.09.004   Google Scholar

Gentry, L., & Calantone, R. (2002). A Comparison of Three Models to Explain Shop-Bot Use on the Web. Psychology & Marketing, 19(11), 945–956. http://doi.org/10.1002/mar.10045
DOI: https://doi.org/10.1002/mar.10045   Google Scholar

Ghareb, M., Karim, H., Salih, S., & Hassan, H. (2018). Social media and social relationships: A case study in Kurdistan society. Applied Computer Science, 14(3), 31–42. http://doi.org/10.23743/acs-2018-19
  Google Scholar

Godin, G., & Kok, G. (1996). The theory of planned behavior: a review of its applications to health-related behaviors. American Journal of Health Promotion, 11(2), 87–98. http://doi.org/10.4278/0890-1171-11.2.87
DOI: https://doi.org/10.4278/0890-1171-11.2.87   Google Scholar

Goldsmith, R.E., & Bridges, E. (2000). E-Tailing vs. Retailing. Using Attitudes to Predict Online Buying Behavior. Quarterly Journal of Electronic Commerce, 1(3), 245–253.
  Google Scholar

Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565–571. http://doi.org/10.1016/j.jbusres.2008.06.016
DOI: https://doi.org/10.1016/j.jbusres.2008.06.016   Google Scholar

Hernández, A. (2011). Desarrollo de un modelo unificado de adopción del comercio electrónico entre empresas y consumidores finales. Aplicación al mercado español (Doctoral dissertation). Universidad Politecnica de Madrid (Spain).
  Google Scholar

Hernández, A., Iglesias, S., Chaparro, J., & Pascual, F. (2010). Perceived compatibility and the adoption of B2C e-commerce by non-buyers. In M. Lytras, P. Ordoñez, A. Ziderman, A. Roulstone, H. Maurer and J. Imber (Eds.), Organizational, Business, and Technological Aspects of the Knowledge Society (pp. 186–192). Berling Heidelber: Springer.
DOI: https://doi.org/10.1007/978-3-642-16324-1_20   Google Scholar

Herrero, A., Rodríguez Del Bosque, I., & García De Los Salmones, M.M. (2004). La compatibilidad percibida en la adopción del comercio electrónico B2C: Un análisis sobre la base del Modelo de Aceptación de Tecnología. XIV Congreso Nacional de ACEDE. Murcia (Spain).
  Google Scholar

Huh, H.J., Kim, T., & Law, R. (2009). A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels. International Journal of Hospitality Management, 28(19), 121–134. http://doi.org/10.1016/j.ijhm.2008.06.004
DOI: https://doi.org/10.1016/j.ijhm.2008.06.004   Google Scholar

Im, I., Kim, Y., & Han, H.J. (2008). The effects of perceived risk and technology type on users’ acceptance of technologies. Information & Management, 45(1), 1–9. http://doi.org/10.1016/j.im.2007.03.005
DOI: https://doi.org/10.1016/j.im.2007.03.005   Google Scholar

Infante-Moro, A., Infante-Moro, J.C., Martínez-López, F.J., & García-Ordaz, M. (2016). The importance of internet and online social networks in the Spanish hotel sector. Applied Computer Science, 12(1), 75–86.
  Google Scholar

Jarvenpaa, S.L., Tractinsky, N., Saarinen, L., & Vitale, M. (1999). Consumer trust in an Internet store: A cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), 1–35. http://doi.org/10.1111/j.1083-6101.1999.tb00337.x
DOI: https://doi.org/10.1111/j.1083-6101.1999.tb00337.x   Google Scholar

Jones, J.M., & Vijayasarathy, L.R. (1998). Internet consumer catalog shopping: findings from and exploratory study and directions for future rese-arch. Internet Research: Electronic Network-ing Applications and Policy, 8(3), 322–330. http://doi.org/10.1108/10662249810231069
DOI: https://doi.org/10.1108/10662249810231069   Google Scholar

Karahanna, E., & Straub, D.W. (1999). The psychological origins of perceived usefulness and ease- of-use. Information & Management, 35(4), 237–250. http://doi.org/10.1016/S0378-7206(98)00096-2
DOI: https://doi.org/10.1016/S0378-7206(98)00096-2   Google Scholar

Kim, D., Ferrin, D., & Rao, H. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. http://doi.org/10.1016/j.dss.2007.07.001
DOI: https://doi.org/10.1016/j.dss.2007.07.001   Google Scholar

Kwek, Ch.L., Lau, T.C., & Tan, H.P. (2010). The Effects of Shopping Orientations, Online Trust and Prior Online Purchase Experience towards Customers’ Online Purchase Intention. International Business Research, 3(3), 63–76. http://doi.org/10.5539/ibr.v3n3p63
DOI: https://doi.org/10.5539/ibr.v3n3p63   Google Scholar

Lee, J.S., Cho, H., Gary, G., Davidson, B., & Ingraffea, A. (2003). Technology Acceptance and Social Networking in Distance Learning. Educational Technology and Society, 6(2), 50–61.
  Google Scholar

Li, Y-M., Wu, C.T., & Lai, C.Y. (2013). A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship. Decision Support System, 55(3), 740–752. http://doi.org/10.1016/j.dss.2013.02.009
DOI: https://doi.org/10.1016/j.dss.2013.02.009   Google Scholar

Liu, X., & Wei, K.K. (2003). An empirical study of product differences in consumers’ e-commerce adoption behavior. Electronic Commerce Research and Applications, 2(3), 229–239. http://doi.org/10.1016/S1567-4223(03)00027-9
DOI: https://doi.org/10.1016/S1567-4223(03)00027-9   Google Scholar

Mandelli, A., & Vescovi, T. (2003). Le nuove frontiere del marketing digitale. Milano: ETAS.
  Google Scholar

Mayer, R.C., Davis, J.H., & Schoorman, F.D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. http://doi.org/10.2307/258792
DOI: https://doi.org/10.5465/amr.1995.9508080335   Google Scholar

Mazurek-Łopacińska, K., & Sobocińska, M. (2017). Creating marketing knowledge about the consumer in the context of the development of internet tools. Applied Computer Science, 13(3), 90–101. http://doi.org/10.23743/acs-2017-24
  Google Scholar

McKnight, D.H., Choudhury, V., & Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. The Journal of Strategic Information Systems, 11(3-4), 297–323. http://doi.org/10.1016/S0963-8687(02)00020-3
DOI: https://doi.org/10.1016/S0963-8687(02)00020-3   Google Scholar

Muñoz, F. (2008). La adopción de una Innovación basada en la web (Doctoral dissertation). University of Granada (Spain).
  Google Scholar

Nambisan, P., & Watt, J.H. (2011). Managing customer experience in online product communities. Journal of Business Research, 64(8), 889–895. http://doi.org/10.1016/j.jbusres.2010.09.006
DOI: https://doi.org/10.1016/j.jbusres.2010.09.006   Google Scholar

Novak, T.P., Hoffman, D.L., & Yung, Y-F. (2000). Measuring the customer experience in online environments: a structural modelling approach. Marketing Science and the Internet, 19(1), 22-42. http://doi.org/10.1287/mksc.19.1.22.15184
DOI: https://doi.org/10.1287/mksc.19.1.22.15184   Google Scholar

Nunnally, J.C. (1978). Psychometric theory, second edition. New York, USA: McGraw-Hill.
  Google Scholar

O’Cass, A., & Fenech, T. (2003). Web retailing adoption: Exploring the nature of internet users web retailing behavior. Journal of Retailing and Consumer Services, 10(2), 81–94. http://doi.org/10.1016/S0969-6989(02)00004-8
DOI: https://doi.org/10.1016/S0969-6989(02)00004-8   Google Scholar

ONTSI (2010). Estudio sobre comercio electrónico B2C 2010. Madrid: Observatorio Nacional de la Telecomunicaciones y de la Sociedad de la Información (ONTSI).
  Google Scholar

Park, J., Lee, D., & Ahn, J. (2004). Risk-Focused e-Commerce Adoption Model: A Cross-Country Study. Journal of Global Information Technology Management, 7(2), 6–30. http://doi.org/10.1080/1097198X.2004.10856370
DOI: https://doi.org/10.1080/1097198X.2004.10856370   Google Scholar

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. http://doi.org/10.1080/10864415.2003.11044275
DOI: https://doi.org/10.1080/10864415.2003.11044275   Google Scholar

Pelaez, J., & Rodríguez, A. (2009). El papel del riesgo percibido en la intención de compra de marcas de distribuidor: una mirada desde el consumidor. In XLIV Asamblea Anual Consejo Latinoamericano de Escuelas de Administración (CLADEA). Guayaquil: University of Pacific.
  Google Scholar

Prandelli, E., & Verona, G. (2006). Marketing in Rete. Milan: McGraw-Hill.
  Google Scholar

Qiu, L., & Li, D. (2008). Applying TAM in B2C e-commerce research: An extended model. Tsinghua Science & Technology, 13(3), 265–272. http://doi.org/10.1016/S1007-0214(08)70043-9
DOI: https://doi.org/10.1016/S1007-0214(08)70043-9   Google Scholar

Riva, G. (2010). I social network. Bologna: Il Mulino.
  Google Scholar

Rose, S., Clark, M., Samouel, P., & Hair, N. (2012). Online Customer Experience in e-Retailing: An empirical model of Antecedents and Outcomes. Journal of Retailing, 88(2), 308–322. http://doi.org/10.1016/j.jretai.2012.03.001
DOI: https://doi.org/10.1016/j.jretai.2012.03.001   Google Scholar

Rowley, J., & Slack, F. (2001). Leveraging Customer Knowledge - Profiling and Personalisation in E-business. International Journal of Retail & Distribution Management, 29(9), 409–415. http://doi.org/10.1108/09590550110400894
DOI: https://doi.org/10.1108/09590550110400894   Google Scholar

Shen, C.C., & Chiou, J.S. (2010). The impact of perceived ease of use on Internet service adoption: The moderating effects of temporal distance and perceived risk. Computers in Human Behavior, 26(1), 42–50. http://doi.org/10.1016/j.chb.2009.07.003
DOI: https://doi.org/10.1016/j.chb.2009.07.003   Google Scholar

Shih, H.P. (2004). An Empirical Study on Predicting User Acceptance of e-Shopping on the Web. Information & Management, 41, 351–368. http://doi.org/10.1016/S0378-7206(03)00079-X
DOI: https://doi.org/10.1016/S0378-7206(03)00079-X   Google Scholar

Shim, S., Eastlick, M.A., Lotz, S.L., & Warrington, P. (2001). An online prepurchase intentions model: The role of intention to search. Journal of Retailing, 77(3), 397–416. http://doi.org/10.1016/S0022-4359(01)00051-3
DOI: https://doi.org/10.1016/S0022-4359(01)00051-3   Google Scholar

Teo, T.S.H., LIim, V.K.G., & Lai, R.Y.C. (1999). Intrinsic and Extrinsic Motivation in Internet Usage. Omega International Journal of Management Science, 27(1), 25–37. http://doi.org/10.1016/S0305-0483(98)00028-0
DOI: https://doi.org/10.1016/S0305-0483(98)00028-0   Google Scholar

To, P.L., Liao, C., Chiang, J.C., Shih, M.L., & Chang, C.Y. (2008). An empirical investigation of the factors affecting the adoption of Instant Messaging in organizations. Computer Standards & Interfaces, 30(3), 148-156. http://doi.org/10.1016/j.csi.2007.08.019
DOI: https://doi.org/10.1016/j.csi.2007.08.019   Google Scholar

Valvi, A.C., Frangos, C.C., & Frangos, C.C. (2013). Online and mobile customer behaviour: a critical evaluation of Grounded Theory studies. Behaviour & Information Technology, 32(7), 655–667. http://doi.org/10.1080/0144929X.2013.789082
DOI: https://doi.org/10.1080/0144929X.2013.789082   Google Scholar

Van Der Heijden, H., Verhagen, T., & Cree-Mers, M. (2003). Understanding Online Purchase Intentions: Contributions from Technology and Trust Perspectives. European Journal of Information Systems, 12, 41–48. http://doi.org/10.1057/palgrave.ejis.3000445
DOI: https://doi.org/10.1057/palgrave.ejis.3000445   Google Scholar

Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315. http://doi.org/10.1111/j.1540-5915.2008.00192.x
DOI: https://doi.org/10.1111/j.1540-5915.2008.00192.x   Google Scholar

Venkatesh, V., & Davis, F.D. (1994). Modelling the determinants of perceived ease of use. In J.I De Gross, S.L. Huff & M.C. Mauro (Eds.), Proceeding of the 15th International Conference on Information Systems (pp. 213–227). Vancouver: British Columbia.
  Google Scholar

Venkatesh, V., Morris, G., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. http://doi.org/10.2307/30036540
DOI: https://doi.org/10.2307/30036540   Google Scholar

Verhoef, P.C., Lemon, K.N., Parasuraman, A.P., Roggeveen, A.L., Tsiros, M., & Schlesinger, L.A. (2009). Customer Experience Creation: Determinants, Dynamics and Management Strategies. Journal of Retailing, 85(1), 31–41. http://doi.org/10.1016/j.jretai.2008.11.001
DOI: https://doi.org/10.1016/j.jretai.2008.11.001   Google Scholar

Wu, I.L., & Chen, J.L. (2005). An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal of Human-Computer Studies, 62(6), 784–808. http://doi.org/10.1016/j.ijhcs.2005.03.003
DOI: https://doi.org/10.1016/j.ijhcs.2005.03.003   Google Scholar

Yoo, C.W., Sanders, G.L., & Moon, J. (2013). Exploring the effect of e-WOM participation on e-Loyalty in e-commerce. Decision Support System, 55, 669–678. http://doi.org/10.1016/j.dss.2013.02.001
DOI: https://doi.org/10.1016/j.dss.2013.02.001   Google Scholar

Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for a t-commerce. Information & Management, 42(7), 965–976. http://doi.org/10.1016/j.im.2004.11.001
DOI: https://doi.org/10.1016/j.im.2004.11.001   Google Scholar

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2020-06-30

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CORDENTE-RODRIGUEZ, M., SPLENDIANI, S., & SILVESTRELLI, P. (2020). MEASURING PROPENSITY OF ONLINE PURCHASE BY USING THE TAM MODEL: EVIDENCE FROM ITALIAN UNIVERSITY STUDENTS. Applied Computer Science, 16(2), 32–52. https://doi.org/10.23743/acs-2020-11

Authors

Maria CORDENTE-RODRIGUEZ 
maria.cordente@uclm.es
Faculty of Social Science, University of Castilla-La Mancha, Los Alfares Avenue 44, 16071 Cuenca Spain

Authors

Simone SPLENDIANI 

Department of Economics, University of Perugia, Pascoli Street 20, 06123 Perugia Italy

Authors

Patrizia SILVESTRELLI 

Department of Economics, University of Macerata, S. Vincenzo Maria Strambi Square 1, 62100 Macerata Italy

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