Internet Móvil: Aceptación tecnológica para el cierre de la brecha digital en Colombia
Palabras clave:
Internet móvil, TAM, aceptación tecnológica, competitividad, brecha digitalResumen
El acceso a las Tecnologías de Información y Comunicación es uno de los pilares de la competitividad y un determinante del desarrollo de los negocios. El Internet es una de las tecnologías de mayor relevancia y su acceso presenta diferencias contrastadas entre países y personas con mayores niveles de ingreso, frente a aquellos que poseen menores ingresos. El cierre de dicha brecha digital es relevante para el desarrollo de los países y las regiones, y los medios móviles representan una solución viable dada su superior penetración frente al acceso a Internet tradicional de línea fija, implicando una posibilidad de mayor rapidez y menores costos de penetración.
El estudio de la aceptación del Internet Móvil posibilita identificar los determinantes del comportamiento de adopción de los consumidores, permitiendo proponer estrategias empresariales y gubernamentales para incrementar la penetración y acelerar el cierre de la brecha digital existente. El presente artículo explora la utilización del Modelo de Aceptación Tecnológica (TAM) como herramienta para describir el comportamiento de aceptación del Internet Móvil por parte de los consumidores colombianos, propone un modelo de hipotético de ecuaciones estructurales, ratifica la fiabilidad y validez del modelo de medida mediante
un Análisis Factorial Confirmatorio (AFC) y contrasta empíricamente las hipótesis propuestas con una muestra de 130 individuos de la ciudad de Medellín.
El TAM aplicado obtuvo excelentes indicadores de bondad de ajuste y el no rechazo de la totalidad de hipótesis planteadas, permitiendo identificar la facilidad de uso, la utilidad percibida y la actitud hacia el uso de Internet Móvil como antecedentes
significativos de la intención de uso.
Descargas
Citas
AGAR, J. (2003). “Constant touch: A global history of the mobile phone”. Cambridge,
UK: Icon Books.
AJZEN, I. (1991). “The Theory of Planned Behavior”. Organizational Behavior and
Human Decision Processes, Vol. 50, No. 2, pp. 179-211.
AJZEN, I. Y FISHBEIN, M. (1977). “Attitude-Behaviour relations: A theoretical analysis
and review of empirical research”. Psychological Bulletin, Vol. 84, No. 5, pp.
-918.
ANDERSON, J. Y GERBING, D. (1988). “Structural equation modeling in practice: A
review and recommended two-step approach”. Psychological Bulletin, Vol. 103,
No. 3, pp. 411-423.
BAGOZZI, R. Y YI, Y. (1988). “On the evaluation of structural equation models”. Journal
of Academy of Marketing Science, Vol. 16, No. 1, pp. 74-94.
BAUER, H., REICHARDT, T., BARNES, S. Y NEUMANN, M. (2005). “Driving consumer
acceptance of mobile marketing: a theoretical framework and empirical study”.
Journal of Electronic Commerce Research, Vol. 6, No. 3, pp 181.
BHATTACHERJEE, A. (2001). “An empirical analysis of the antecedents of electronic
commerce service continuance”. Decision support systems, Vol. 32, No. 2, pp.
-214.
BRUNER II, G. Y KUMAR, A. (2007). “Attitude toward Location-Based Advertising”.
Journal of Interactive Advertising, Vol 7, No. 2, pp. 1-15.
CHEONG, J. Y PARK, M. (2005). “Mobile internet acceptance in Korea”. Internet
Research,Vol. 15, No. 2, pp. 125.
CHIGONA, W., VALLY, J., BEUKES, D., Y TANNER, M. (2009). “Can mobile internet help
alleviate social exclusion in developing countries”. EJISDC , Vol. 36, No. 7,
pp.1-16.
CHURCHILL, G. (1979). “A paradigm for developing better measures of marketing
constructs”. Journal of Marketing Research, pp. 64-73.
DAVIS, F. (1989). “Perceived usefulness, perceived ease of use, and user acceptance of
information technologies”. MIS Quarterly, Vol. 13, No. 3, pp. 21.
DAVIS, F., BAGOZZI, R., Y WARSHAW, P. (1985). “Intrinsec and extrinsec motivation to
use computers in the workplace”. Journal of Applied Social Psychology, Vol. 22,
pp. 1111-1132.
DAVIS, F., BAGOZZI, R., Y WARSHAW, P. (1989). “User Acceptance of Computer
Technology: A comparisson of two theoretical models”. Management Science,
Vol. 35, No. 8, pp. 982.
DONNER, J. (2008). “Research Approaches to Mobile Use in the Developing World: A
Review of the Literature”. The Information Society , Vol. 24, No. 3, pp. 140-159.
FISHBEIN, M. Y AJZEN, I. (1975). Belief, attitude, intention, and behavior: An
introduction to theory and research: Addison-Wesley.
FORNELL, C. Y LARCKER, D. (1981). “Evaluating structural equation models with
unobservable variables and measurement error”. Journal of Marketing Research,
Vol. 18, No. 1, pp. 39-50.
FUNK, J. (2011). “Standards, critical mass, and the formation of complex industries: A
case study of the mobile Internet”. Journal of Engineering and Technology
Management , Vol. 28, No. 1, pp. 232-248.
GAMBOA, L. Y OTERO, J. (2009). “An estimation of the pattern of diffusion of mobile
phones: The case of Colombia”. Telecommunications Policy , Vol. 33, No. 11,
pp. 611-620.
GEFEN, D., KARAHANNA, E. Y STRAUB, D. (2003). “Inexperience and experience with
online stores: The importance of TAM and trust”. IEEE Transactions on
Engineering Management, Vol. 50, No. 3, pp. 307-322.
GEFEN, D. Y STRAUB, D. (2004). “Consumer trust in B2C e-Commerce and the
importance of social presence: experiments in e-Products and e-Services”.
Omega, Vol. 32, No. 3, pp. 407-424.
GEORGE, J. (2004). “The theory of planned behavior and Internet purchasing”. Internet
research, Vol. 14, No. 3, pp. 198-212.
GERPOTT, T., THOMAS, S. Y WEICHERT, M. (2012). “Characteristics and mobile Internet
use intensity of consumers with different types of advanced handsets: An
exploratory empirical study of iPhone, Android and other web-enabled mobile
users in Germany”. Telecommunications Policy .
HATCHER, L. (1994). A step-by-step approach to using the SAS system for factor
analysis and structural equation modeling: SAS Publishing.
HERRERA, M. (2012). Difusión de la Telefonía Móvil en Colombia, Tesis de Maestría.
Recuperado el 12 de agosto de 2012, de
http://repository.urosario.edu.co/bitstream/10336/2896/1/1014185313-2012.pdf
HONG, S., THONG, J. Y TAM, K. (2006). “Understanding continued information
technology usage behavior: A comparison of three models in the context of
mobile internet”. Decision Support Systems , Vol. 42, No. 3, pp. 1819-1834.
HSU, C., LU, H., Y HSU, H. (2007). “Adoption of the mobile Internet: An empirical study
of multimedia message service (MMS)”. Omega, Vol. 35, No. 6, pp. 715.
IDOWU, B., OGUNBODEDE, E. Y IDOWU, B. (2003). “Information and communication
technology in Nigeria: The health sector experience”. Journal of Information
Technology Impact , Vol. 3, No. 2, pp. 69-76.
IMD. (junio de 2012). World Competitiveness Yearbook 2012. Recuperado el 12 de
agosto de 2012, de http://www.imd.org/research/publications/wcy/WorldCompetitiveness-Yearbook-Results/#/
ITU. (junio de 2012). World Telecommunication/ICT Indicators Database Online 2012,
th Edition. Recuperado el 12 de agosto de 2012, de http://www.itu.int/ITUD/ict/publications/world/world.html
JEFFREY, J. Y VERSTEEG, M. (2007). “Mobile phones in Africa: How much do we really
know?” . Social Indicators Research , Vol 84, No. 1, pp. 117-126.
JI-WON, M. Y YOUNG-GUL, K. (2001). “Extending the TAM for a World-Wide-Web
context”. Information & Management, Vol. 38, No 4, pp. 217.
JONES, K. YLEONARD, L. (2007). “Consumer-to-Consumer Electronic Commerce: A
Distinct Research Stream”. Journal of Electronic Commerce in Organizations,
Vol. 5, No. 4, pp. 39.
JORESKOG, K. Y SORBOM, D. (1990). LISREL 7. A guide to program and application.
Michigan: SPSS.
KIM, D., FERRIN, D. Y 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, Vol. 44, No. 2, pp, 544-564. doi:
1016/j.dss.2007.07.001
KIM, J. Y FORSYTHE, S. (2008). “Sensory enabling technology acceptance model (SETAM): A multiple-group structural model comparison”. Psychology &
Marketing, Vol. 25, No. 9, pp. 901.
KIM, M., CHUNG, N. Y LEE, C. (2011). “The effect of perceived trust on electronic
commerce: Shopping online for tourism products and services in South Korea”.
Tourism Management, Vol.32, No. 2, pp, 256-265. doi:
1016/j.tourman.2010.01.011
KING, W. Y HE, J. (2006). “A meta-analysis of the technology acceptance model”.
Information & Management, Vol. 43, pp. 16.
LEE, Y. (2006). “An empirical investigation into factors influencing the adoption of an
e-learning system”. Online Information Review, Vol. 30, No. 5, pp. 517.
LIAO, C., TSOU, C Y HUANG, M. (2007). “Factors influencing the usage of 3G mobile
services in Taiwan”. Online Information Review, Vol. 31, No. 6, pp. 759.
LIU, C., MARCHEWKA, J., LU, J. Y YU, C. (2005). “Beyond concern - a privacy-trustbehavioral intention model of electronic commerce”. Information &
Management, Vol. 42, No. 2, pp. 289-304.
MBARIKA, V. (2002). “Re-thinking information and communications technology policy
focus on internet versus teledensity diffusion for africa's least developed
countries”. Electronic Journal on Information Systems in Developing Countries ,
Vol. 9, No. 1, pp. 1-13.
MINTIC. (mayo de 2012). Boletín Trimestral de las TIC, Banda Ancha Vive Digital,
Cifras Primer Semestre de 2012. Recuperado el 12 de agosto de 2012, de
http://www.mintic.gov.co/images/documentos/cifras_del_sector/informe_2012_
t_vive_digital.v1.rar
NUNNALLY, J. Y BERNSTEIN, I. (1994). Psychometric Theory (3a ed.). New York:
McGraw-Hill.
NYSVEEN, H., PEDERSEN, P. Y THORBJØRNSEN, H. (2005). “Intentions to Use Mobile
Services: Antecedents and Cross-Service Comparisons”. Academy of Marketing
Science. Journal, Vol. 33, No. 3, pp. 330.
OKAZAKI, S. (2007). “Lessons learned from i-mode: What makes consumers click
wireless banner ads?”. Computers in Human Behavior, Vol. 23, No. 3, pp. 1692-
OKAZAKI, S., KATSUKURA, A. Y NISHIYAMA, M. (2007). “How Mobile Advertising
Works: The Role of Trust in Improving Attitudes and Recall”. Journal of
Advertising Research, Vol. 47, No. 2, pp. 165.
PALVIA, P. (2009). “The role of trust in e-commerce relational exchange: A unified
model”. Information & Management, Vol. 46, No. 4, pp. 213-220.
PARK, C. (2006). “Hedonic and utilitarian values of mobile internet in Korea”.
International Journal of Mobile Communications, Vol. 4, No. 5, pp. 497-508.
PEDERSEN, P. (2005). “Adoption of mobile Internet services: An exploratory study of
mobile commerce early adopters”. Journal of organizational computing and
electronic commerce, Vol. 15, No. 3, pp. 203-222.
RICE, R. Y KATZ, J. (2003). “Comparing internet and mobile phone usage:digital divides
of usage, adoption, and dropouts”. Telecommunications Policy , Vol. 27, No. 1,
pp. 597-623.
ROUVINEN, P. (2006). “Diffusion of digital mobile telephony: Are developing countries
different?”. Telecommunications Policy , Vol. 30, No. 1, pp. 46-63.
RUIZ, C., SANZ, S. Y TAVERA-MESÍAS, J. (2010). “A comparative study of mobile
messaging services acceptance to participate in television programmes”. Journal
of Service Management, Vol. 21, No. 1, pp. 69-102.
RUIZ, C., SANZ, S. Y TAVERA, J. (2010). “A comparative study of mobile messaging
services acceptance to participate in television programmes”. Journal of Service
Management, Vol. 21, No. 1, pp. 69.
SANDOVAL, A. (2012). Este mes habrá tantos celulares como habitantes en América
Latina. Recuperado 18 de marzo, 2012, de
http://www.eltiempo.com/tecnologia/telecomunicaciones/ARTICULO-WEBNEW_NOTA_INTERIOR-9032680.html
SHIN, D. (2007). “User acceptance of mobile Internet: Implication for convergence
technologies”. Interacting with Computers , Vol. 19, No. 1, pp. 472-483.
SHIN, Y., LEE, S., SHIN, B. Y LEE, H. (2010). “Examining influencing factors of postadoption usage of mobile internet: Focus on the user perception of supplier-side
attributes”. Inf Syst Front , Vol. 12, No. 1, pp. 595–606.
SRIDHAR, K. Y SRIDHAR, V. (2006). “Telecommunications and growth: Causal model,
quantitative and qualitative evidence”. Economic and political weekly , Vol. 41,
No. 25, pp. 2611-2619.
SRINUAN, C., SRINUAN, P. Y BOHLIN, E. (2011). “An analysis of mobile Internet access
in Thailand: Implications for bridging the digital divide”. Telematics and
Informatics , Vol. 29, No. 1, pp. 254-262.
STEWART, D. Y PAVLOU, P. (2002). “From Consumer Response to Active Consumer:
Measuring the Effectiveness of Interactive Media”. Journal of the Academy of
Marketing Science, Vol. 30, No. 4, pp. 376-396.
TAYLOR, S. Y TODD, P. (1995). “Understanding information technology usage: A test of
competing models”. Information Systems Research,Vol. 6, No. 2, pp. 144.
TEO, T. Y POK, S. (2003). “Adoption of WAP-enabled mobile phones among Internet
users”. Omega, Vol. 31, No. 6, pp. 483-498.
TSANG, M., HO, S. Y LIANG, T. (2004). “Consumer Attitudes Toward Mobile
Advertising: An Empirical Study”. International Journal of Electronic
Commerce, Vol. 8, No. 3, pp. 65.
THOMPSON, H. Y GARBACZ, C. (2007). “Mobile, fixed line and internet service effects
on global productive efficiency”. Information Economics and Policy , Vol. 19,
No. 2, pp. 189-214.
VATANPARAST, R. Y QADIM, H. (2009). “A cross-cultural study on mobile internet
usage”. International Journal of Mobile Marketing ,Vol. 4, No. 2, pp. 14-27.
VENKATESH, V. Y DAVIS, F. (2000). “A theoretical extension of the technology
acceptance model: Four longitudinal field studies”. Management Science, Vol.
, No. 2, pp. 186.
WANG, H. Y WANG, S. (2010). “User acceptance of mobile internet based on the unified
theory of acceptance and use of technology: Investigating the determinants and
gender differences”. Social behavior and personality , Vol. 38, No. 3, pp. 415-
WEF. (junio de 2011). The Global Competitiveness Report 2011–2012. Recuperado el
de agosto de 2012, de www3.weforum.org/docs/WEF_GCR_Report_2011-
WEF. (junio de 2012). The Global Information Technology Report 2012. Recuperado el
de agosto de 2012, de
http://www3.weforum.org/docs/Global_IT_Report_2012.pdf
WHATTANANARONG, K. (2005). “An experiment in the use of mobile phones for testing
at King mongkut‘s Institute of technology North Bangkok, Thailand”. Journal of
King Mongkut's Institute of Technology North Bangkok , Vol. 15, No. 1, pp. 45-
WU, J. Y WANG, S. (2005). “What drives mobile commerce? An empirical evaluation of
the revised technology acceptance model”. Information & Management, Vol. 42,
No. 5, pp. 719.
ZHANG, J. Y MAO, E. (2008). “Understanding the acceptance of mobile SMS advertising
among young Chinese consumers”. Psychology & Marketing, Vol. 25, No. 8, pp.
-805.