MEASURING PROPENSITY OF ONLINE PURCHASE BY USING THE TAM MODEL: EVIDENCE FROM ITALIAN UNIVERSITY STUDENTS
Maria CORDENTE-RODRIGUEZ
maria.cordente@uclm.esFaculty 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 studentsReferences
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
Authors
Maria CORDENTE-RODRIGUEZmaria.cordente@uclm.es
Faculty of Social Science, University of Castilla-La Mancha, Los Alfares Avenue 44, 16071 Cuenca Spain
Authors
Simone SPLENDIANIDepartment of Economics, University of Perugia, Pascoli Street 20, 06123 Perugia Italy
Authors
Patrizia SILVESTRELLIDepartment of Economics, University of Macerata, S. Vincenzo Maria Strambi Square 1, 62100 Macerata Italy
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