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• Metodología
• Bases de la teoría
• Evolución y aceptación
Meta-
     DOI          DOI en SI
                                  análisis


Características   Niveles de   Utilización
Modificaciones    citación     Aceptación
• Tipo de
  Comunicación
• Incertidumbre vs
  Información
• Cambio Social
Proceso por medio del cual una
innovación es comunicada a
través de ciertos canales en el
tiempo entre los miembros de
un sistema social
(Rogers, 1962,2003)
Condiciones previas
1. Prácticas previas
2. Problemas o necesidades percibidas
3. Innovativeness
4. Normas del sistema social

                                                           Canales de Comunicación




                                                                                      IV.
         I. Conocimiento         II. Persuasión            III. Decisión         Implementació   V. Confirmación
                                                                                       n




                                                                           1. Adopción               Continuar adopción
 Características de la      Características Perceptibles
 unidad de decisión         de la Innovación
                                                                                                     Postergar adopción
 1. Características         1. Ventaja Relativa
      socioecnómicas        2. Compatibilidad
 2. Variables de            3. Complejidad
                                                                                                     Descontinuar uso
      personalidad          4. Experimentabilidad
 3. Comportamiento          5. Observabilidad
                                                                           2. Rechazo                Continuar rechazo
      de comunicación



                                  Multi-step flow theory Diffusion of innovation model. Rogers (2003)
12

10   Aplicación
         12
8

6
     Revisión
        4
4

2

     Creación
0
        20
Autores                        Citaciones
                      Autores                     Citaciones
                                                      promedio
 (Venkatesh et al., 2003)                         5354
(Venkatesh et al., 2003)                             595
 (Moore & Benbasat, 1991)                         3518
(Moore & Benbasat, 1991)                             168
 (Cooper & Zmud, 1990)                            1767
(Karahanna et al., 1999)                             132
 (Karahanna, Straub, Chervany, & Beliefs, 1999)   1716
(Iacovou, Benbasat, & Dexter, 1995)                  89
(Wu & Wang, Klein, 1982)
 (Tornatzky & 2005)                               1687
                                                     83
Cualidades
Percepción antes
                     tecnológicas de la
   de adoptar
                        innovación


Mediciones válidas
                      Explica pero no
 en un contexto
                          predice
   específico
TAM
           (Davis, 1989)

                TRA
      (Fishbein y Ajzen, 1975)

                                     TPB
                             (Plouffe et al., 2001)

TDI
                      PCI
            (Moore & Benbasat, 1991)
• Ventaja Relativa,
  Compatibilidad y Complejidad
• TRA, TAM, TPB y PCI
Agarwal, R., & Prasad, J. (1997). The Role of Innovation Characteristics and Perceived
    Voluntariness in the Acceptance of Information Technologies. Decision Sciences, 28(3), 557–
    582. doi:10.1111/j.1540-5915.1997.tb01322.x
Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal
    Innovativeness in the Domain of Information Technology. Information Systems Research,
    9(2), 204–216.
Beatty, R. C., Shim, J. P., & Jones, M. C. (2001). Factors infuencing corporate web site
    adoption  a time-based assessment. Information & Management, 38, 337 – 354.
                :
Bradford, M., & Florin, J. (2003). Examining the role of innovation diffusion factors on the
    implementation success of enterprise resource planning systems. International Journal of
    Accounting Information Systems, 4(3), 205–225. doi:10.1016/S1467-0895(03)00026-5
Brancheau, J. C., & Wetherbe, J. C. (1990). The Adoption of Spreadsheet Software: Testing
    Innovation Diffusion Theory in the Context of End-User Computing. Information Systems
    Research, 1(2), 115–143.
Chen, L., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended
    technology acceptance perspective. Information & Management, 39(8), 705–719.
    doi:10.1016/S0378-7206(01)00127-6
Chircu, A. M., & Kauffman, R. J. (2000). Limits to Value in Electronic Commerce-Related IT
    Investments. Journal of Management Information Systems, 17(2), 59–81.
Choudhury, V., & Karahanna, E. (2008). The relative advantage of electronic channels: a
    multidimensional view. MIS Quarterly, 32(1), 179–200.
Cooper, R. B., & Zmud, R. W. (1990). Information Technology Implementation Research: A
    Technological Diffusion Approach. Management Science, 36(2), 123–139.
    doi:10.1287/mnsc.36.2.123
Dutta, S. (2012). ANALYZING CONSUMER INTENTION TO PAY FOR ONLINE CONTENT  A            :
    SYSTEMATIC APPROACH, 38(1).
Eastin, M. S. (2002). Diffusion of e-commerce: an analysis of the adoption of four e-commerce
    activities. Telematics and Informatics, 19(3), 251–267. doi:10.1016/S0736-5853(01)00005-3
Fichman, R. G. (2001). The role of aggregation in the measurement of IT - Related
    organizational innovation. MIS Quarterly, 25(4), 427–455.
Fichman, R. G., & Carroll, W. E. (2004). Going Beyond the Dominant Paradigm for Information
    Technology Innovation Research  Emerging Concepts. Journal of the Association for
                                         :
    Information Systems, 5(8), 314–355.
Fichman, R. G., & Kemerer, C. F. (1999). The Illusory diffussion of innovation: An examination of
    assimilation gaps. Information Systems Research, 10(3), 255–275.
Fichman, R. G., Kemerer, C. F., & Hall, F. (1997). The Assimilation of Innovations  An Learning
                                                                                    :
    Software Process Organizational Perspective. Management, 43(10), 1345–1363.
Forman, C. (2012). The Corporate Digital Divide  Determinants of Internet Adoption.
                                                    :
    Management Science, 51(4), 641–654.
Geroski, P. A. (2000). Models of technology diffusion. Research Policy, 29(4-5), 603–625.
    doi:10.1016/S0048-7333(99)00092-X
Grover, V., & Goslar, M. D. (1993). The Initiation , Adoption , and Implementation of
    Telecommunications Technologies in U . S . Organizations. Journal of Management
    Information Systems, 10(1), 141–163.
Hsu, C.-L., Lu, H.-P., & Hsu, H.-H. (2007). Adoption of the mobile Internet: An empirical study of
    multimedia message service (MMS). Omega, 35(6), 715–726.
    doi:10.1016/j.omega.2006.03.005
Hung, S., Ku, C., & Chang, C. (2002). Critical Factors of WAP services Adoption  An Empirical
                                                                                  :
    Study.
Iacovou, C. L., Benbasat, I., & Dexter, A. S. S. (1995). Organizations  and Impact Adoption of
                                                                       :
    Technology. Management Information Systems, 19(4), 465–485.
Johannessen, J., Olsen, B., & Lumpkin, G. T. (2001). Innovation as newness  what is new , how
                                                                               :
    new , and new to whom  European Journal of Innovation Management, 4(1).
                                 ?
Karahanna, E., Straub, D. W., Chervany, N. L., & Beliefs, P. (1999). ADOPTION ACROSS
    TECHNOLOGY INFORMATION TIME  A CROSS-SECTIONAL COMPARISON OF. MIS Quarterly,
                                            :
    23(2), 183–213.
Leonard-barton, A. D., Deschamps, I., & Leonard-barton, D. (1988). Managerial Influence in the
    Implementation of New Technology MANAGERIAL INFLUENCE IN THE IMPLEMENTATION OF
    NEW TECHNOLOGY *. Management Science, 34(10), 1252–1265.
Liao, S., Shao, Y. P., Wang, H., & Chen, A. (1999). The adoption of virtual banking  an empirical
                                                                                    :
    study. International Journal of Information Management, 19, 63–74.
Moore, G., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of
    adopting an information technology innovation. Information Systems Research, 2(3), 192–
    222.
O’Callaghan, R. O., Kaufmann, P. J., & Konsynski, B. R. (1992). Adoption Correlates and Share of
    Effects Electronic Data Systems in Interchange Marketing Channels. Journal of Marketing,
    56(2), 45–56.
Parthasarathy, M., & Bhattacherjee, A. (1998). Understanding Post-Adoption behavior in the
    context of online services. Information Systems Research, 9(4), 362 – 379.
Plouffe, C., Hullan, J., & 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), 208–222.
Premkumar, G., Ramamurthy, K., & Nilakanta, S. (1994). Implementation of Electronic Data
    Interchange  An Innovation Diffusion Perspective. Journal of Management Information
                     :
    Systems, 11(2), 157–187.
Purvis, R. L., Sambamurthy, V., & Zmud, R. W. (2001). Knowledge Platforms Empirical
    Organizations  Investigation. Organization Science, 12(2), 117–135.
                       :
Rajagopal, P. (2002). An innovation — diffusion view of implementation of enterprise resource
    planning ( ERP ) systems and development of a research model. Information &
    Management, 40(2), 87–114.
Ramamurthy, K., Premkumar, G., & Crum, M. R. (1999). Organizational and Interorganizational
    Determinants of EDI Diffusion and Organizational Performance  A Causal Model. Journal
                                                                          :
    of Organizational Computing and Electronic Commerce, 9(4), 253–285.
Rogers, E. M. (1962). Diffusion of Innovations (p. 367).
Rogers, E. M. (2002). Theory of Innovation. International Encyclopedia of the Social &
    Behavioral Sciences.
Rogers, E. M. (2003). Diffusion of innovations (5th ed., p. 551). New York: The Free Press.
Straub, D. W. (1994). The Effect of Culture on IT Diffusion: E-Mail and FAX in Japan and the U.S.
    Information Systems Research, 5(1), 23 – 47.
Swanson, E. B. (1994). Information Systems Among Innovation Organizations. Management
    Science, 40(9), 1069–1092.
Tan, M., & Teo, T. (2000). Factors Influencing the Adoption of Internet Banking. Journal of the
    Association for Information Systems, 1(July).
Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-
    implementation: A meta-analysis of findings. IEEE Transactions on Engineering
    Management, 29(1), 28–43.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information
   technology: Toward a unified view. Management Information Systems, 27(3), 425–478.
Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce? Information & Management,
   42(5), 719–729. doi:10.1016/j.im.2004.07.001
Zhu, K., Dong, S., Xu, S. X., & Kraemer, K. (2006). Innovation diffusion in global contexts:
   determinants of post-adoption digital transformation of European companies. European
   Journal of Information Systems, 15(6), 601–616. doi:10.1057/palgrave.ejis.3000650
Zhu, K., & Kraemer, K. L. (2005). Post-Adoption Variations in Usage and Value of E-Business by
   Organizations: Cross-Country Evidence from the Retail Industry. Information Systems
   Research, 16(1), 61–84. doi:10.1287/isre.1050.0045
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Teoría de difusión de innovaciones

  • 1.
  • 2. • Metodología • Bases de la teoría • Evolución y aceptación
  • 3. Meta- DOI DOI en SI análisis Características Niveles de Utilización Modificaciones citación Aceptación
  • 4. • Tipo de Comunicación • Incertidumbre vs Información • Cambio Social
  • 5. Proceso por medio del cual una innovación es comunicada a través de ciertos canales en el tiempo entre los miembros de un sistema social
  • 7. Condiciones previas 1. Prácticas previas 2. Problemas o necesidades percibidas 3. Innovativeness 4. Normas del sistema social Canales de Comunicación IV. I. Conocimiento II. Persuasión III. Decisión Implementació V. Confirmación n 1. Adopción Continuar adopción Características de la Características Perceptibles unidad de decisión de la Innovación Postergar adopción 1. Características 1. Ventaja Relativa socioecnómicas 2. Compatibilidad 2. Variables de 3. Complejidad Descontinuar uso personalidad 4. Experimentabilidad 3. Comportamiento 5. Observabilidad 2. Rechazo Continuar rechazo de comunicación Multi-step flow theory Diffusion of innovation model. Rogers (2003)
  • 8.
  • 9. 12 10 Aplicación 12 8 6 Revisión 4 4 2 Creación 0 20
  • 10. Autores Citaciones Autores Citaciones promedio (Venkatesh et al., 2003) 5354 (Venkatesh et al., 2003) 595 (Moore & Benbasat, 1991) 3518 (Moore & Benbasat, 1991) 168 (Cooper & Zmud, 1990) 1767 (Karahanna et al., 1999) 132 (Karahanna, Straub, Chervany, & Beliefs, 1999) 1716 (Iacovou, Benbasat, & Dexter, 1995) 89 (Wu & Wang, Klein, 1982) (Tornatzky & 2005) 1687 83
  • 11. Cualidades Percepción antes tecnológicas de la de adoptar innovación Mediciones válidas Explica pero no en un contexto predice específico
  • 12.
  • 13. TAM (Davis, 1989) TRA (Fishbein y Ajzen, 1975) TPB (Plouffe et al., 2001) TDI PCI (Moore & Benbasat, 1991)
  • 14. • Ventaja Relativa, Compatibilidad y Complejidad • TRA, TAM, TPB y PCI
  • 15. Agarwal, R., & Prasad, J. (1997). The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies. Decision Sciences, 28(3), 557– 582. doi:10.1111/j.1540-5915.1997.tb01322.x Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9(2), 204–216. Beatty, R. C., Shim, J. P., & Jones, M. C. (2001). Factors infuencing corporate web site adoption  a time-based assessment. Information & Management, 38, 337 – 354. : Bradford, M., & Florin, J. (2003). Examining the role of innovation diffusion factors on the implementation success of enterprise resource planning systems. International Journal of Accounting Information Systems, 4(3), 205–225. doi:10.1016/S1467-0895(03)00026-5 Brancheau, J. C., & Wetherbe, J. C. (1990). The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing. Information Systems Research, 1(2), 115–143. Chen, L., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705–719. doi:10.1016/S0378-7206(01)00127-6 Chircu, A. M., & Kauffman, R. J. (2000). Limits to Value in Electronic Commerce-Related IT Investments. Journal of Management Information Systems, 17(2), 59–81. Choudhury, V., & Karahanna, E. (2008). The relative advantage of electronic channels: a multidimensional view. MIS Quarterly, 32(1), 179–200.
  • 16. Cooper, R. B., & Zmud, R. W. (1990). Information Technology Implementation Research: A Technological Diffusion Approach. Management Science, 36(2), 123–139. doi:10.1287/mnsc.36.2.123 Dutta, S. (2012). ANALYZING CONSUMER INTENTION TO PAY FOR ONLINE CONTENT  A : SYSTEMATIC APPROACH, 38(1). Eastin, M. S. (2002). Diffusion of e-commerce: an analysis of the adoption of four e-commerce activities. Telematics and Informatics, 19(3), 251–267. doi:10.1016/S0736-5853(01)00005-3 Fichman, R. G. (2001). The role of aggregation in the measurement of IT - Related organizational innovation. MIS Quarterly, 25(4), 427–455. Fichman, R. G., & Carroll, W. E. (2004). Going Beyond the Dominant Paradigm for Information Technology Innovation Research  Emerging Concepts. Journal of the Association for : Information Systems, 5(8), 314–355. Fichman, R. G., & Kemerer, C. F. (1999). The Illusory diffussion of innovation: An examination of assimilation gaps. Information Systems Research, 10(3), 255–275. Fichman, R. G., Kemerer, C. F., & Hall, F. (1997). The Assimilation of Innovations  An Learning : Software Process Organizational Perspective. Management, 43(10), 1345–1363. Forman, C. (2012). The Corporate Digital Divide  Determinants of Internet Adoption. : Management Science, 51(4), 641–654.
  • 17. Geroski, P. A. (2000). Models of technology diffusion. Research Policy, 29(4-5), 603–625. doi:10.1016/S0048-7333(99)00092-X Grover, V., & Goslar, M. D. (1993). The Initiation , Adoption , and Implementation of Telecommunications Technologies in U . S . Organizations. Journal of Management Information Systems, 10(1), 141–163. Hsu, C.-L., Lu, H.-P., & Hsu, H.-H. (2007). Adoption of the mobile Internet: An empirical study of multimedia message service (MMS). Omega, 35(6), 715–726. doi:10.1016/j.omega.2006.03.005 Hung, S., Ku, C., & Chang, C. (2002). Critical Factors of WAP services Adoption  An Empirical : Study. Iacovou, C. L., Benbasat, I., & Dexter, A. S. S. (1995). Organizations  and Impact Adoption of : Technology. Management Information Systems, 19(4), 465–485. Johannessen, J., Olsen, B., & Lumpkin, G. T. (2001). Innovation as newness  what is new , how : new , and new to whom  European Journal of Innovation Management, 4(1). ? Karahanna, E., Straub, D. W., Chervany, N. L., & Beliefs, P. (1999). ADOPTION ACROSS TECHNOLOGY INFORMATION TIME  A CROSS-SECTIONAL COMPARISON OF. MIS Quarterly, : 23(2), 183–213. Leonard-barton, A. D., Deschamps, I., & Leonard-barton, D. (1988). Managerial Influence in the Implementation of New Technology MANAGERIAL INFLUENCE IN THE IMPLEMENTATION OF NEW TECHNOLOGY *. Management Science, 34(10), 1252–1265.
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