Teoría de Difusión de Innovación

7/29/2019 Teora de Difusin de Innovacin

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Rafael Leonardo Ochoa Urrego

[email protected]


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MetodologaBases de la teora

Evolucin y aceptacin


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DOI DOI en SIMeta-

anlisis

Caractersticas

Modificaciones

Niveles de

citacin

Utilizacin

Aceptacin


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Proceso por medio del cual una

innovacin es comunicada atravs de ciertos canales en eltiempo entre los miembros de

un sistema social

innovacin canalestiempo

sistema social


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(Rogers, 1962)


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

Condiciones previas

1. Prcticas previas

2. Problemas o necesidades percibidas

3. Innovativeness

4. Normas del sistema social

I. Conocimiento II. Persuasin III. Decisin

IV.

Implementaci

n

V. Confirmacin

Canales de Comunicacin

Caractersticas de la

unidad de decisin

1. Caractersticas

socioecnmicas

2. Variables de

personalidad

3. Comportamiento

de comunicacin

Caractersticas Perceptibles

de la Innovacin

1. Ventaja Relativa

2. Compatibilidad

3. Complejidad

4. Experimentabilidad

5. Observabilidad

1. Adopcin

2. Rechazo

Continuar adopcin

Postergar adopcin

Descontinuar uso

Continuar rechazo


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0

2

4

6

8

10

12

Aplicacin

12

Revisin

4

Creacin

20


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Autores Citaciones(Venkatesh et al., 2003) 5354(Moore & Benbasat, 1991) 3518(Cooper & Zmud, 1990) 1767(Karahanna, Straub, Chervany, & Beliefs, 1999) 1716(Tornatzky & Klein, 1982) 1687

Autores Citacionespromedio

(Venkatesh et al., 2003) 595(Moore & Benbasat, 1991) 168(Karahanna et al., 1999) 132(Iacovou, Benbasat, & Dexter, 1995) 89(Wu & Wang, 2005) 83


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Tipo de

ComunicacinIncertidumbre vsInformacin

Cambio Social


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Percepcin antesde adoptar

Cualidadestecnolgicas de la

innovacin

Mediciones vlidas

en un contextoespecfico

Explica pero nopredice


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TDI

TRA

(Fishbein y Ajzen, 1975)

TAM(Davis, 1989)

TPB

(Plouffe et al., 2001)

PCI

(Moore & Benbasat, 1991)


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Ventaja Relativa,

Compatibilidad yComplejidad

TRA, TAM, TPB y PCI


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Agarwal, R., & Prasad, J. (1997). The Role of Innovation Characteristics and PerceivedVoluntariness in the Acceptance of Information Technologies. Decision Sciences, 28(3),557582. doi:10.1111/j.1540-5915.1997.tb01322.x

Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of PersonalInnovativeness in the Domain of Information Technology. Information SystemsResearch, 9(2), 204216.

Beatty, R. C., Shim, J. P., & Jones, M. C. (2001). Factors infuencing corporate web siteadoption: a time-based assessment. Information & Management, 38, 337 354.

Bradford, M., & Florin, J. (2003). Examining the role of innovation diffusion factors on theimplementation success of enterprise resource planning systems. International Journalof Accounting Information Systems, 4(3), 205225. doi:10.1016/S1467-0895(03)00026-5

Brancheau, J. C., & Wetherbe, J. C. (1990). The Adoption of Spreadsheet Software: TestingInnovation Diffusion Theory in the Context of End-User Computing. InformationSystems Research, 1(2), 115143.

Chen, L., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extendedtechnology acceptance perspective. Information & Management, 39(8), 705719.doi:10.1016/S0378-7206(01)00127-6

Chircu, A. M., & Kauffman, R. J. (2000). Limits to Value in Electronic Commerce-Related ITInvestments.Journal of Management Information Systems, 17(2), 5981.

Choudhury, V., & Karahanna, E. (2008). The relative advantage of electronic channels: a

multidimensional view. MIS Quarterly, 32(1), 179200.


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Cooper, R. B., & Zmud, R. W. (1990). Information Technology Implementation Research: ATechnological Diffusion Approach. Management Science, 36(2), 123139.doi:10.1287/mnsc.36.2.123

Dutta, S. (2012). ANALYZING CONSUMER INTENTION TO PAY FOR ONLINE CONTENT: ASYSTEMATIC 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), 251267. doi:10.1016/S0736-5853(01)00005-3

Fichman, R. G. (2001). The role of aggregation in the measurement of IT - Relatedorganizational innovation. MIS Quarterly, 25(4), 427455.

Fichman, R. G., & Carroll, W. E. (2004). Going Beyond the Dominant Paradigm forInformation Technology Innovation Research: Emerging Concepts.Journal of the

Association for Information Systems, 5(8), 314355.

Fichman, R. G., & Kemerer, C. F. (1999). The Illusory diffussion of innovation: An examination

of assimilation gaps. Information Systems Research, 10(3), 255275.Fichman, R. G., Kemerer, C. F., & Hall, F. (1997). The Assimilation of Innovations : An Learning

Software Process Organizational Perspective. Management, 43(10), 13451363.

Forman, C. (2012). The Corporate Digital Divide: Determinants of Internet Adoption.Management Science, 51(4), 641654.


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Geroski, P. A. (2000). Models of technology diffusion. Research Policy, 29(4-5), 603625.doi:10.1016/S0048-7333(99)00092-X

Grover, V., & Goslar, M. D. (1993). The Initiation , Adoption , and Implementation ofTelecommunications Technologies in U . S . Organizations.Journal of ManagementInformation Systems, 10(1), 141163.

Hsu, C.-L., Lu, H.-P., & Hsu, H.-H. (2007). Adoption of the mobile Internet: An empirical studyof multimedia message service (MMS). Omega, 35(6), 715726.doi:10.1016/j.omega.2006.03.005

Hung, S., Ku, C., & Chang, C. (2002). Critical Factors of WAP services Adoption: An EmpiricalStudy.

Iacovou, C. L., Benbasat, I., & Dexter, A. S. S. (1995). Organizations : and Impact Adoption ofTechnology. Management Information Systems, 19(4), 465485.

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 ACROSSTECHNOLOGY INFORMATION TIME: A CROSS-SECTIONAL COMPARISON OF. MISQuarterly, 23(2), 183213.

Leonard-barton, A. D., Deschamps, I., & Leonard-barton, D. (1988). Managerial Influence inthe Implementation of New Technology MANAGERIAL INFLUENCE IN THEIMPLEMENTATION OF NEW TECHNOLOGY *. Management Science, 34(10), 12521265.


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Liao, S., Shao, Y. P., Wang, H., & Chen, A. (1999). The adoption of virtual banking: anempirical study. International Journal of Information Management, 19, 6374.

Moore, G., & Benbasat, I. (1991). Development of an instrument to measure theperceptions of adopting an information technology innovation. Information SystemsResearch, 2(3), 192222.

OCallaghan, R. O., Kaufmann, P. J., & Konsynski, B. R. (1992). Adoption Correlates and Shareof Effects Electronic Data Systems in Interchange Marketing Channels.Journal ofMarketing, 56(2), 4556.

Parthasarathy, M., & Bhattacherjee, A. (1998). Understanding Post-Adoption behavior in thecontext of online services. Information Systems Research, 9(4), 362 379.

Plouffe, C., Hullan, J., & Vandenbosch, M. (2001). Research Report: Richness versusparsimony in modeling technology adoption decisions - Understanding merchantadoption of a smart card-based payment system. Information Systems Research, 12(2),208222.

Premkumar, G., Ramamurthy, K., & Nilakanta, S. (1994). Implementation of Electronic DataInterchange: An Innovation Diffusion Perspective.Journal of Management InformationSystems, 11(2), 157187.

Purvis, R. L., Sambamurthy, V., & Zmud, R. W. (2001). Knowledge Platforms EmpiricalOrganizations: Investigation. Organization Science, 12(2), 117135.


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Rajagopal, P. (2002). An innovation diffusion view of implementation of enterpriseresource planning ( ERP ) systems and development of a research model. Information &Management, 40(2), 87114.

Ramamurthy, K., Premkumar, G., & Crum, M. R. (1999). Organizational andInterorganizational Determinants of EDI Diffusion and Organizational Performance: ACausal Model.Journal of Organizational Computing and Electronic Commerce, 9(4),253285.

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 theU.S. Information Systems Research, 5(1), 23 47.

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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 EngineeringManagement, 29(1), 2843.


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Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance ofinformation technology: Toward a unified view. Management Information Systems,27(3), 425478.

Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce? Information &Management, 42(5), 719729. 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), 601616. doi:10.1057/palgrave.ejis.3000650

Zhu, K., & Kraemer, K. L. (2005). Post-Adoption Variations in Usage and Value of E-Businessby Organizations: Cross-Country Evidence from the Retail Industry. Information SystemsResearch, 16(1), 6184. doi:10.1287/isre.1050.0045


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Rafael Leonardo Ochoa Urrego

[email protected]

Teoría de Difusión de Innovación

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