Factors Affecting Information Communication Technologies Usage and Satisfaction: Perspective from Instant Messaging in Kuwait

Instant messaging (IM) technology has received extensive focus in the West while there is lack of knowledge of it in the Arab world. This study aims to shed light on factors affecting IM usage and user satisfaction in an Arab country (Kuwait). To achieve this objective, this study develops a theoretical model that is based on three well-known models. This model includes curiosity (from the theory of flow), compatibility (from the innovation diffusion theory), perceived usefulness and perceived ease of use (from the technology acceptance model), and individual characteristics in the form of prior similar experience. The proposed model was tested using survey data from 609 students, with the results lending support for the proposed model. Importantly, results highlight the impact of social effect on curiosity as a new mediator of technology adoption and satisfaction. This study contributes to the literature on technology adoption in the Arab word and aids educational institutions and companies to understand the social and technical nature of users’ attitudes with regard to ICT adoption and satisfaction.

[1]  G. Abla,et al.  Advanced tools for enhancing control room collaborations , 2006 .

[2]  Magid Igbaria,et al.  IT acceptance in a less-developed country: a motivational factor perspective , 2002, Int. J. Inf. Manag..

[3]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[4]  David C. Yen,et al.  The selection of instant messaging or e-mail: College students' perspective for computer communication , 2007, Inf. Manag. Comput. Secur..

[5]  Elisheva F. Gross,et al.  Adolescent Internet use: What we expect, what teens report , 2004 .

[6]  David C. Yen,et al.  Media Selection to Meet Communications Contexts: Comparing E-Mail and Instant Messaging in an Undergraduate Population , 2004, Commun. Assoc. Inf. Syst..

[7]  Chih-Chien Wang,et al.  Acceptance of Technology with Network Externalities: An Empirical Study of Internet Instant Messaging Services , 2005 .

[8]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[9]  Patti M. Valkenburg,et al.  Precursors of adolescents' use of visual and audio devices during online communication , 2007, Comput. Hum. Behav..

[10]  John M. Ivancevich,et al.  Business Environment , 1995, Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship.

[11]  David C. Yen,et al.  Usefulness of instant messaging among young users: Social vs. work perspective , 2003 .

[12]  Patrick Y. K. Chau,et al.  Understanding Individual Adoption of Instant Messaging: An Empirical Investigation , 2005, J. Assoc. Inf. Syst..

[13]  J. Webster,et al.  The Dimensionality and Correlates of Flow in Human-Computer Interactions. , 1993 .

[14]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[15]  Blake Ives,et al.  An empirical study of the impact of user involvement on system usage and information satisfaction , 1986, CACM.

[16]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[17]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Independent Variables , 1992, J. Manag. Inf. Syst..

[18]  Said S. Al-Gahtani,et al.  Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology , 1999, Behav. Inf. Technol..

[19]  Andrew F. Simon Computer-Mediated Communication: Task Performance and Satisfaction , 2006, The Journal of social psychology.

[20]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[21]  Jane Webster,et al.  Microcomputer Playfulness: Developing a Measure With Workplace Implications , 1992, MIS Q..

[22]  Jane Webster,et al.  Unintended consequences of emerging communication technologies: Instant Messaging in the workplace , 2005, Comput. Hum. Behav..

[23]  R. Rubin,et al.  Conceptualization and Measurement of Interpersonal Communication Motives , 1988 .

[24]  Pei-Luen Patrick Rau,et al.  Using mobile communication technology in high school education: Motivation, pressure, and learning performance , 2008, Comput. Educ..

[25]  D. Berlyne,et al.  Structure and direction in thinking , 1965 .

[26]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[27]  Kamel Rouibah,et al.  Social usage of instant messaging by individuals outside the workplace in Kuwait: A structural equation model , 2008, Inf. Technol. People.

[28]  Scott Nicholson Socialization in the "Virtual Hallway": Instant Messaging in the Asynchronous Web-based Distance Education Classroom , 2002 .

[29]  Louis Leung,et al.  Unwillingness-to-communicate and college students' motives in SMS mobile messaging , 2007, Telematics Informatics.

[30]  Henri ter Hofte,et al.  IM [@work]: adoption of instant messaging in a knowledge worker organisation , 2004 .

[31]  Detmar W. Straub,et al.  Diffusing the Internet in the Arab world: the role of social norms and technological culturation , 2003, IEEE Trans. Engineering Management.

[32]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[33]  Richard L. Daft,et al.  Organizational information requirements, media richness and structural design , 1986 .

[34]  David C. Yen,et al.  An exploratory investigation of two internet-based communication modes , 2007, Comput. Stand. Interfaces.

[35]  Henk de Poot,et al.  IM [@work]: adoption of instant messaging in a knowledge worker organisation , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[36]  Gholamreza Torkzadeh,et al.  A path analytic study of determinants of information system usage , 1994 .

[37]  G. Rose,et al.  PREDICTING GENERAL IT USE : APPLYING TAM TO THE ARABIC WORLD , 1998 .

[38]  Said S. Al-Gahtani,et al.  Computer Technology Acceptance Success Factors in Saudi Arabia: An Exploratory Study , 2004 .

[39]  David C. Yen,et al.  An analytical study towards the development of a standardized IM application , 2004, Comput. Stand. Interfaces.

[40]  S. Deshpande,et al.  Task Characteristics and the Experience of Optimal Flow in Human—Computer Interaction , 1994 .

[41]  Felix B. Tan,et al.  Beyond Models of National Culture in Information Systems Research , 2002, J. Glob. Inf. Manag..

[42]  Thomas W. Malone,et al.  Toward a Theory of Intrinsically Motivating Instruction , 1981, Cogn. Sci..

[43]  Lena Aggestam Guidelines for Preparing Organizations in Developing Countries for Standards-Based B2B , 2009 .

[44]  Ellen Isaacs,et al.  Mobile instant messaging through Hubbub , 2002, CACM.

[45]  Yang Jin,et al.  Instant Messaging Acceptance and Use Among College Students , 2004, PACIS.

[46]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .