Technology Adoption at the Consumer Level: Focus on Internet Based Communication Technology

Technology adoption has been a very important area of interest in IS research. However, much of this research has been limited to the organizational and household contexts. There is a need to examine adoption at the consumer level as we believe that factors affecting adoption decisions in the contexts somewhat different from those affecting individual adoption situations. The purpose of this paper, as research in progress, is to propose a technology adoption model at the consumer level based on the well established attribution theory and product attribute model. We are focusing on Internet based communication tools and in particular Instant Messengers (IMs). Our model has five variables, perceptions of product attributes, interpersonal influence on adopter, inherent innovativeness, vicarious innovativeness, and adoptive innovativeness. This paper provides a logical framework for a future empirical study that would investigate and test the hypotheses proposed in this paper.

[1]  Tom Brier,et al.  Communications of the Association for Information Systems , 1999 .

[2]  D. Horsky A Diffusion Model Incorporating Product Benefits, Price, Income and Information , 1990 .

[3]  Gianfranco Walsh,et al.  The Mannmaven: an agent for diffusing market information , 2001 .

[4]  Lyman E. Ostlund Perceived Innovation Attributes as Predictors of Innovativeness , 1974 .

[5]  Linda L. Price,et al.  Exploration in product usage: A model of use innovativeness , 1994 .

[6]  Geoffrey Randall Principles of Marketing , 1993 .

[7]  Michel Laroche,et al.  Individualistic orientation and consumer susceptibility to interpersonal influence , 2005 .

[8]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..

[9]  Anand Jeyaraj,et al.  A review of the predictors, linkages, and biases in IT innovation adoption research , 2006, J. Inf. Technol..

[10]  H. Kelman Compliance, identification, and internalization three processes of attitude change , 1958 .

[11]  Viswanath Venkatesh,et al.  A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges , 2001, MIS Q..

[12]  John W. Medcof,et al.  Peat: An Integrative Model of Attribution Processes , 1990 .

[13]  Philip M. Parker,et al.  Global Diffusion of Technological Innovations: A Coupled-Hazard Approach , 2000 .

[14]  Y. Trope Identification and Inferential Processes in Dispositional Attribution. , 1986 .

[15]  D. Midgley,et al.  Innovativeness: The Concept and Its Measurement , 1978 .

[16]  J. Arndt Role of Product-Related Conversations in the Diffusion of a New Product , 1967 .

[17]  J. Hackman,et al.  Leading Teams: Setting the Stage for Great Performances , 2002 .

[18]  T. Levitt,et al.  Marketing success through differentiation of anything , 1980 .

[19]  W. Bearden,et al.  Consumer Innovativeness and the Adoption Process , 1995 .

[20]  I. Brechan The different effect of primary and secondary product attributes on customer satisfaction , 2006 .

[21]  D. Midgley,et al.  A Longitudinal Study of Product Form Innovation: The Interaction between Predispositions and Social Messages , 1993 .

[22]  Kenneth C. Gehrt,et al.  Re-examination of the concept of innovativeness in the context of the adolescent segment: Development of a measurement scale , 2004 .

[23]  Richard G. Netemeyer,et al.  Measurement of Consumer Susceptibility to Interpersonal Influence , 1989 .

[24]  C. Shapiro,et al.  Technology Adoption in the Presence of Network Externalities , 1986, Journal of Political Economy.

[25]  Robert W. Zmud,et al.  A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems , 2005, MIS Q..

[26]  Robert J. Kauffman,et al.  Opening the "Black Box" of Network Externalities in Network Adoption , 2000, Inf. Syst. Res..

[27]  Banwari Mittal,et al.  Lack of attribute searchability: Some thoughts , 2004 .

[28]  M. Gilly,et al.  A dyadic study of interpersonal information search , 1998 .

[29]  Daniel T. Gilbert,et al.  Journal of Personality and Social Psychology of Thoughts Unspoken Social Inference and the Self-regulation of Behavior , 2022 .

[30]  E. Hirschman Innovativeness, Novelty Seeking, and Consumer Creativity , 1980 .

[31]  H. Hurt,et al.  SCALES FOR THE MEASUREMENT OF INNOVATIVENESS , 1977 .

[32]  Mun Y. Yi,et al.  Understanding the Role of Individual Innovativeness in the Acceptance of IT-Based Innovations: Comparative Analyses of Models and Measures , 2006, Decis. Sci..

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

[34]  Daniel L. Sherrell,et al.  Communications of the Association for Information Systems , 1999 .

[35]  Flemming Hansen Psychological Theories of Consumer Choice , 1976 .

[36]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[37]  D. Gilbert How mental systems believe. , 1991 .

[38]  Kutsal Dogan,et al.  A hedonic study of network effects in the market for word processing software , 2006, Decis. Support Syst..