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    Academic Journal
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    Academic Journal
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    Dissertation/ Thesis
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    Academic Journal

    المؤلفون: Fajardo Gartner, Camilo Arturo

    المساهمون: Rojas Berrio, Sandra Patricia, Montoya Restrepo, Luz Alexandra

    وصف الملف: 1 recurso en línea (113 páginas); application/pdf

    Relation: Abraham, J., Sutiksno, D. U., Kurniasih, N., & Warokka, A. (2019). Acceptance and Penetration of Bitcoin: The Role of Psychological Distance and National Culture. SAGE Open. https://doi.org/10.1177/2158244019865813; Abramova, S., & Böhme, R. (2016). Perceived Benefit and Risk as Multidimensional Determinants of Bitcoin Use: A Quantitative Exploratory Study. ICIS.; Abramova, S., and Böhme, R. (2016). Perceived Benefit and Risk as Multidimensional Determinants of Bitcoin Use: A Quantitative Exploratory Study”, in Proceedings of Thirty Seventh International Conference on Information Systems, Dublin, Ireland, pp 1-20.; Agarwal, R., and Prasad, J., (1998), A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology, Information Systems Research (9:2), pp. 204-215.; Ajzen, I. (1991). The Theory of Planned Behavior. Organization Behavior and Human Decision Processes, Academic Press, Inc. 179-211.; Alaeddin O., Altounjy R., (2018) Trust, Technology Awareness and Satisfaction Effect into the Intention to Use Cryptocurrency among Generation Z in Malaysia. International Journal of Engineering & Technology, 7 (4.29) (2018) 8-10.; Angel-Velazquez, J. A. (2001). Cuatro Paradigmas Básicos Sobre La Naturaleza De La Ciencia. Argumentos de razón técnica.; Arias-Oliva M, Pelegrín-Borondo J. and Matías-Clavero G. (2019). Variables Influencing Cryptocurrency Use: A Technology Acceptance Model in Spain. Frontiers in Psychology. 10:475. doi:10.3389/fpsyg.2019.00475.; Asociación Libra. (2019). Welcome to the official Libra. White Paper v2.0 %7C From the Libra Association Members Disponible en: https://libra.org/en-US/white-paper/.; Barclay, D. W., Higgins, C. A., & Thompson, R. (1995). The partial least squares approach to causal modeling: Personal computer adoption and use as illustration. Technology Studies, 2, 285–309.; Best, R. J. (2013). Market-Based Management. En R. J. Best, Market-Based Management (págs. 95-97). Pearson.; Bratspies, Rebecca M. (2018) Cryptocurrency and the Myth of the Trustless Transaction. Disponible en SSRN: https://ssrn.com/abstract=3141605 or http://dx.doi.org/10.2139/ssrn.3141605.; Burns, Alvin; Burns, Ronald (2008). Basic Marketing Research (Second ed.). New Jersey: Pearson Education. pp. 245. ISBN 978-0-13-205958-9.; Business Wire (2017). $16.3 Billion Global Blockchain Technology Market Analysis & Trends - Industry Forecast to 2025 - Research and Markets %7C Business Wire. Disponible en: https://www.businesswire.com/news/home/20170130005684/en/ 16.3- Billion- Global- Blockchain- Technology- Market- Analysis.; Chan, S. C., & Lu T. M. (2004). Understanding Internet Banking Adoption and Use behavior: A Hong Kong perspective. Journal of Global Information Management, 12, 3 12-43.; Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307–341). Thousand Oaks, CA: Sage.; Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Mahwah, NJ: Lawrence Erlbaum.; Coin Market Cap. (2019). All Cryptocurrencies %7C CoinMarketCap. Obtenido de Coin Market Cap: https://coinmarketcap.com/all/views/all/.; Compeau, D. R., and Higgins, C. A., (1995) Computer Self-Efficacy: Development of a Measure and Initial Test, MIS Quarterly (19:2), pp. 189-211.; Compeau, D. R., and Higgins, C. A., (1995), Computer Self-Efficacy: Development of a Measure and Initial Test, MIS Quarterly (19:2), pp. 189-211.; DANE. (2018a). Censo Nacional de Población y Vivienda 2018. Disponible en https://www.dane.gov.co/files/censo2018/informacion-tecnica/cnpv-2018-presentacion-3ra-entrega.pdf; DANE. (2018b). Indicadores básicos de tenencia y uso de Tecnologías de la Información y Comunicación – TIC en hogares y personas de 5 y más años de edad Departamental Año 2018 Disponible en https://www.dane.gov.co/files/investigaciones/boletines/tic/bol_tic_hogares_departamental_2018.pdf; Dávila-Newman, Gladys (2006). El razonamiento inductivo y deductivo dentro del proceso investigativo en ciencias experimentales y sociales. Laurus, 12(Ext),180-205. ISSN: 1315-883X. Disponible en: https://www.redalyc.org/articulo.oa?id=761/76109911.; Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.; 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), pp. 1111- 1132.; Davis, F. D., Bogozzi, R., P., & Warshaw, P., R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003.; Davis, F.D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts, United States: Sloan School of Management, Massachusetts Institute of Technology.; Diamantopoulos, A., & Riefler, P. (2011). Using formative measures in international marketing models: A cautionary tale using consumer animosity as an example. Advances in International Marketing, 10, 11–30.; Esmaeilzadeh, P., Subramanian, H., & Cousins, K. (2019). Individuals' Cryptocurrency Adoption: A Proposed Moderated-Mediation Model. AMCIS.; European Central Bank, (2012), Virtual Currency Schemes. Disponible en: https://www.ecb.europa.eu/pub/pdf/other/virtualcurrencyschemes201210en.pdf.; European Central Bank, (2015), Virtual Currency Schemes – a further analysis. Disponible en: https://www.ecb.europa.eu/pub/pdf/other/virtualcurrencyschemesen.pdf.; Faqih, K. M. S. (2016). An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: does gender matter? J. Retailing Consum. Serv. 30, 140–164. doi:10.1016/j.jretconser.2016.01.016.; Faulkner J. (2016), Getting started with Cryptography in .NET, München BookRix, 6.; Featherman, M. S., and Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective, International. J. Hum. Comput. Stud. 59, 451–474. doi:10.1016/S1071-5819(03)00111-3.; Ferber, R. (1977). Rearch by Convenience. Journal of Consumer Research, 4(1), pp. 57-58.; Financial Action Task Force, (2014), Virtual Currencies – Key Definitions and Potential AML/CFT Risks, Disponible en: http://www.fatf- gafi.org/media/fatf/documents/reports/Virtual-currency-key-definitions-and-potential-aml-cft-risks.pdf; Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addision-Wesley.; Francisco K, Swanson D. (2018) The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency. Logistics. 2(1):2.; Geisser, S. (1974). A predictive approach to the random effects model. Biometrika, 61, 101–107.; Goodhue, D. L., & Thompson, R. L. (1995). Task technology fit and individual performance. MIS Quarterly, 19, 213-236.; Google Inc. (2019). https://www.google.com/forms/about/. año de utilización; Hair, Joe F., Sarstedt, M., Ringle, C. M., & 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(3), 414–433. https://doi.org/10.1007/s11747-011-0261-6.; Hair, Joseph F., Hult, T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS- SEM) (Second Edi). https://doi.org/10.1007/s10995-012-1023-x [doi].; Henseler, J., & Dijkstra, T. K. (2015). ADANCO 1.1 [Computer software]. Retrieved from http://www.compositemodeling.com.; Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., et al. (2014). Common beliefs and reality about partial least squares: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17, 182–209.; Hileman G. y Rauchs M. (2017), Global Cryptocurrency Benchmarking Study, Cambridge Centre for Alternative Finance, p. 15.; Holub, M., and Johnson, J. (2018). Bitcoin research across disciplines. Inf. Soc. 34, 114–126. doi:10.1080/01972243.2017.1414094.; Horst, M., Kuttschreuter, M., & Gutteling, J. M. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands. Computers in Human Behavior, 23(4), 1838-1852. https://doi.org/10.1016/j.chb.2005.11.003.; Houben R. (2015), Bitcoin: there two sides to every coin, ICCLR, Vol. 26, Issue 5, 195.; Houben, R., and Snyers A. (2018). European Parliament: Cryptocurrencies and blockchain Legal context and implications for financial crime, money laundering and tax evasion. Disponible en: http://www.europarl.europa.eu/supporting-analyses .; Hui, B. S., & Wold, H. O. A. (1982). Consistency and consistency at large of partial least squares estimates. In K. G. Jöreskog & H. O. A. Wold (Eds.), Systems under indirect observation, Part II (pp. 119–130). Amsterdam: North-Holland.; International Monetary Fund, (2016), Virtual Currencies and Beyond: Initial Considerations Disponible en: https://www.imf.org/external/pubs/ft/sdn/2016/sdn1603.pdf.; Jaoude, J., & Saade, R. (2019). Blockchain Factors for Consumer Acceptance. The International Journal of Business Management and Technology, Vol. 3.1 ISSN: 2581-3889.; Kannungo, S., and Jain, V. (2004). “Relationship between risk and intention to purchase in an online context: role of gender and product category,” in Proceedings of the 13th European Conference on Information Systems, The European IS Profession in the Global Networking Environment, ECIS 2004, (Turku).; Kim, H.‐W., Chan, H. C., & Gupta, S. (2007). Value‐based adoption of mobile internet: an empirical investigation. Decision Support Systems, 43(1), 111–126.; Kim, S. S., and Malhotra, N. K. (2005). A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Post-Adoption Phenomena, Management Science (51:5), pp. 741-755.; Kim, S. S., Malhotra, N. K., and Narasimhan, S. (2005). Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison, Information Systems Research (16:4), pp. 418-432.; Kwabena G. Boakye & Thomas McGinnis & Victor R. Prybutok, (2014). Q-TAM: A quality technology acceptance model for technology operations managers. Springer Science Business Media New York.; Lai P. C. & Zainal A.A, (2015). Perceived Risk as an Extension to TAM Model: Consumers’ Intention to Use A Single Platform E-Payment. Australia Journal Basic and Applied Science, 9(2): 323-330.; Lai, P. C. (2016) Design and Security impact on consumers’ intention to use single platform E- payment, Interdisciplinary Information Sciences, 22 (1), 111-12.; Lai, P. C. (2017) THE LITERATURE REVIEW OF TECHNOLOGY ADOPTION MODELS AND THEORIES FOR THE NOVELTY TECHNOLOGY JISTEM, Brazil Vol. 14, No. 1, Jan/Apr. 2017 pp. 21-38.; Lee, M.-C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141. https://doi.org/10.1016/j.elerap.2008.11.006.; Likert, Rensis (1932). "A Technique for the Measurement of Attitudes". Archives of Psychology. 140: 1–55.; Limayem, M., Hirt, S. G., and Cheung, С. M. К. (2007). How Habit Limits the Predictive Power of Intentions: The Case of IS Continuance, MIS Quarterly (31:4), pp. 70.; Makanyeza, C., and Mutambayashata, S. (2018). Consumers’ acceptance and use of plastic money in Harare, Zimbabwe: application of the unified theory of acceptance and use of technology 2. Int. J. Bank Mark. 36, 379–392. doi: 10. 1108/IJBM- 03- 2017- 0044.; Marcoulides, G. A., & Chin, W. W. (2013). You write but others read: Common methodological misunderstandings in PLS and related methods. In H. Abdi, W. W. Chin, V. Esposito Vinzi, G. Russolillo, & L. Trinchera (Eds.), New perspectives in partial least squares and related methods (pp. 31–64). New York: Springer.; Moon, Y., and Hwang, J. (2018). Crowdfunding as an alternative means for funding sustainable appropriate technology: acceptance determinants of backers. Sustainability 10:1456. doi:10.3390/su10051456.; 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), pp. 192-222.; Natarajan H., Krause S., and Gradstein H. (2017), “Distributed Ledger Technology (DLT) and blockchain”, FinTech note, no. 1. Washington, D.C., Disponible en: http://documents.worldbank.org/curated/en/177911513714062215/pdf/122140-WP-PUBLIC-Distributed- Ledger-Technology-and-Blockchain-Fintech-Notes.pdf; Neufeld, D. J., Dong, L., and Higgins, C. (2007). "Charismatic Leadership and User Acceptance of Information Technology," European Journal of Information Systems (16:4), pp. 494-510.; Novendra, Rizki & Gunawan, Fergyanto. (2017). Analysis of Technology Acceptance and Customer Trust in Bitcoin in Indonesia Using UTAUT Framework. KSII Transactions on Internet and Information Systems.; O. Sohaib, W. Hussain, M. Asif, M. Ahmad, and M. Mazzara,, (2020). A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption. in IEEE Access, vol. 8, pp. 13138-13150, doi:10.1109/ACCESS.2019.2960083.; Parasuraman, A., & Colby L. C. (2001). Techno-Ready Marketing, The Free Press.; Plouffe, C. R., Hulland, J. S., and Vandenbosch, M, (2001) Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions - Understanding Merchant Adoption of a Smart Card-Based Payment System, Information Systems Research (12:2), pp. 208-222.; Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26, 332–344.; Ringle, C. M., Wende, S. y Becker, J. M. (2015) SmartPLS 3. Boenningstedt: SmartPLS GmbH, http://www.smartpls.com.; Rogers, E. M. (1983). Diffusion of innovation. New York: The Free Press.; Rogers, E.M. (1995). Diffusion of Innovations. 4th ed., New York: The Free Press.; S. Jarvenpaa, N. Tractinsky and M. Vitale, (2000). Information Technology and Management, vol. 1, no. 12, pp. 45-71. Available: 10.1023/a:1019104520776.; Salisbury, W. D., Pearson, R. A., Pearson, A. W., and Miller, D. W. (2001). Perceived security and world wide web purchase intention. Ind. Manag. Data Syst. 101, 165–176. doi:10.1108/02635570110390071.; Saunders, M., Lewis, P., & Thornhill, A. (2016). Research methods for business students. Pearson.; Shim, S. I., and Lee, Y. (2011). Consumer’s perceived risk reduction by 3D virtual model. Int. J. Retail Distrib. Manag. 39, 945–959. doi:10.1108/ 09590551111183326.; Shobhit S., (2018), Public, Private, Permissioned Blockchains Compared. Disponible en: https://www.investopedia.com/news/public-private-permissioned-blockchains- compared/.; Slozko, O. &, Pelo A., (2015). Problems and risks of digital technologies introduction into e- payments. Transformations in Business and Economics, 14(1), 225-235.; Stofega, W., and Llamas, R. T. (2009). Worldwide Mobile Phone 2009-2013 Forecast Update. IDC Document Number 217209, IDC, Framingham, MA.; Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36, 111–147.; Taylor, S. and Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6, 144-176.; Taylor, S., and Todd, P. A., (1995), Assessing IT Usage: The Role of Prior Experience, MIS Quarterly, (19:2), pp. 561-570.; The Law Library of Congress, Global Legal Research Center (2018). United States Legislative Information: Regulation of Cryptocurrency Around the World. Disponible en: http://www.loc.gov/law/help/cryptocurrency/cryptocurrency-world-survey.pdf; Thompson, R. L., Higgins, C. A., and Howell, J. M., (1991), Personal Computing: Toward a Conceptual Model of Utilization, MIS Quarterly (15:1), pp. 124-143.; Venkatesh, V. and Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Science, 39 (2), 273-312.; Venkatesh, V., & Davis, F. D. (1996). A model of the antecendents of percieved ease of use: development and test. Decision Science, 27 (3), pp. 451-481.; Venkatesh, V., & Davis, F. D. (2000). A theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), pp. 186-204.; Venkatesh, V., Morris, M.G., Davis, F.D., & Davis, G.B. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27, 425-478.; Venkatesh, V., Thong, J., and Xu, X. (2012). Consumer Acceptance and User of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology," MIS Quarterly (36), pp. 157-178.; Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.; Walton, A., & Johnston, K. (2018). Exploring perceptions of bitcoin adoption: The South African vir- tual community perspective. Interdisciplinary Journal of Information, Knowledge, and Management, 13, 165-182. https://doi.org/10.28945/4080.; We Are Social y Hootsuite (2019). Data Reportal Colombia 2019. Disponible en: https://datareportal.com/?utm_source=Reports&utm_medium=PDF&utm_campaign=Digital_2019&utm_content=Contact_Details_Slide; Witzig P. and Salomon V., (2018) Cutting out the middleman: a case study of blockchain-induced reconfigurations in the Swiss Financial Services Industry, Université de Neuchâtel, Disponible en: http://www.unine.ch/files/live/sites/maps/files/shared/documents/wp/WP-1_2018_Witzig%20and%20Salomon.pdf .; World Economic Forum (2015). WEF: Technology Tipping Points and Societal Impact. Disponible en: http://www3.weforum.org/docs/WEF_GAC15_ Technological_Tipping_Points_report_2015.pdf .; Wu, J., and Du, H. (2012). Toward a better understanding of behavioral intention and system usage constructs. European Journal of Information Systems (21), pp. 680-698.; Yang, S., Lu, Y., Gupta, S., & Cao, Y. (2012). Does context matter? The impact of use context on mobile internet adoption. International Journal of Human-Computer Interaction, 28(8), 530–541.; Youn, S., Lee, K. (2019) Proposing value-based technology acceptance model: testing on paid mobile media service. Fash Text 6, 13. https://doi.org/10.1186/s40691-018-0163-z.; Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007). Technology acceptance: a meta-analysis of the TAM: Part 1. Journal of Modelling in Management 2 (3), pp. 251-280.; Ztehitehami, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence, Journal of Marketing (52:3), pp. 2-22.; Fajardo Gartner, C. A. (2020). Factores que inciden en la intención de uso de criptomonedas desde la perspectiva del comportamiento del consumidor [Tesis de maestría, Universidad Nacional de Colombia]. Repositorio Institucional; https://repositorio.unal.edu.co/handle/unal/79242

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    Academic Journal
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    Academic Journal

    وصف الملف: application/pdf

    Relation: RUEDA SAMPEDRO, Inés et al. ¿Existen niveles adecuados de formación y financiación que incentiven la intención emprendedora?=Are the existing levels of training and access to finance enough to encourage entrepreneurial intention?. En: Faedpyme international review, vol. 2, n. 3. Cartagena, Murcia: Fundación Faedpyme, 2013. p. 28-38. ISSN: 2255-078X; http://hdl.handle.net/10317/4321

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    المساهمون: Universidad de Cantabria

    المصدر: Faedpyme International Review, Vol 2, Iss 3, Pp 28-38 (2013)
    Revista FIR, FAEDPYME International Review // Vol. 2 N° 3 // enero-junio de 2013, pp. 28-38
    UCrea Repositorio Abierto de la Universidad de Cantabria
    Universidad de Cantabria (UC)
    FAEDPYME International Review, 2013, 2(3), 28-38
    Repositorio Digital de la Universidad Politécnica de Cartagena
    instname

    وصف الملف: application/pdf

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    Academic Journal
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    Electronic Resource

    Additional Titles: Efectividad de Facilitadores del Uso de Dispositivos Tecnológicos en Tareas de Estimulación Cognitiva en Adultos Mayores

    المصدر: Revista de Psicología; Vol. 19 No. 38 (2023); 7-24; Revista de Psicología; Vol. 19 Núm. 38 (2023); 7-24; Revista de Psicología; Vol. 19 Núm. 38 (2023); 7-24; 2469-2050; 1669-2438