Internet Móvil: Aceptación tecnológica para el cierre de la brecha digital en Colombia

Authors

  • Juan Fernando Tavera M University of Antioquia
  • Jose Enrique Arias P University of Antioquia

Keywords:

Mobile internet, TAM, technology acceptance, competitivity, digital divide

Abstract

Access to Information and Communication Technologies is one pillar of competitiveness and a determinant of business development. Internet is one of the most important technologies and its access presents contrasted differences between countries and people with higher income levels compared to those with lower incomes. Closing the digital gap is relevant for the development of countries and regions, and mobile
media represent a viable solution because of its superior penetration compared to traditional Internet access by fixed lines, implying a possibility of faster and lower penetration costs. The study of acceptance of Mobile Internet allows to identify the determinants of consumers’ adoption behavior, enabling businesses and government to propose strategies for increasing market penetration and accelerating the closure of the digital gap.
This article explores the use of the Technology Acceptance Model (TAM) as a tool for describing the behavior of Mobile Internet acceptance by Colombian consumers. Proposes a hypothetical model of structural equations, confirms the reliability and validity of the measurement model by Confirmatory Factor Analysis (CFA) and empirically contrasts proposed hypotheses with a sample of 130 individuals from the
Medellin city. The TAM obtained excellent goodness of fit indicators and non-rejection of all hypotheses, permiting to identify the ease of use, perceived usefulness and attitude toward using mobile internet as a significant antecedents of Intention of Use.

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Author Biographies

Juan Fernando Tavera M, University of Antioquia

Director of the Marketing Research Group (iMARK). Professor and Researcher of the Department of Administrative Sciences of the Faculty of Economic Sciences, Universidad de Antioquia.

Jose Enrique Arias P, University of Antioquia

Professor and Researcher of the Department of Administrative Sciences of the Faculty of Economic Sciences, Universidad de Antioquia

References

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-

pdf

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.

Published

2013-06-21

How to Cite

Tavera M, J. F., & Arias P, J. E. (2013). Internet Móvil: Aceptación tecnológica para el cierre de la brecha digital en Colombia. Perfil De Coyuntura Económica, (19), 139–156. Retrieved from https://revistas.udea.edu.co/index.php/coyuntura/article/view/15556

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