Adoption Intentions Toward Interactive Digital Television Among Advertising Professionals

ABSTRACT Using the decomposed theory of planned behavior, this article develops and empirically validates a model that predicts the intention to use interactive digital television as a marketing communication medium. The study tests the model with samples of Belgian advertising professionals at two different moments in time. The results show that the impact of perceived usefulness on the intention to use interactive digital television is low compared with the impact of perceived ease of use and subjective norms. Over time, the compliance effect of external subjective norms on usage intention decreases, in favor of the internalization effect through perceived ease of use. Behavioral control and attitude have more impact in the second stage than in the first.

[1]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

[2]  Elena Karahanna,et al.  Reconceptualizing Compatability Beliefs in Technology Acceptance Research , 2006, MIS Q..

[3]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[4]  Heshan Sun,et al.  The role of moderating factors in user technology acceptance , 2006, Int. J. Hum. Comput. Stud..

[5]  Bernd W. Wirtz,et al.  Strategic implications of the segment of one TV: The evolution of the personalised television structure , 2001 .

[6]  Cynthia K. Riemenschneider,et al.  Understanding it adoption decisions in small business: integrating current theories , 2003, Inf. Manag..

[7]  Matthew B. Kugler,et al.  Social Influence on Political Judgments: The Case of Presidential Debates , 2007 .

[8]  A. Bandura.  Social Foundations of Thought and Action , 1986 .

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

[10]  Paul Jen-Hwa Hu,et al.  Examining technology acceptance by school teachers: a longitudinal study , 2003, Inf. Manag..

[11]  D. Allen.  New telecommunications services: Network externalities and critical mass☆ , 1988 .

[12]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[13]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..

[14]  J. Miller,et al.  Development of an Instrument To Measure Hope , 1988, Nursing research.

[15]  Michael Workman,et al.  Expert decision support system use, disuse, and misuse: a study using the theory of planned behavior , 2005, Comput. Hum. Behav..

[16]  Matthew K. O. Lee,et al.  Digital Inclusiveness--Longitudinal Study of Internet Adoption by Older Adults , 2006, J. Manag. Inf. Syst..

[17]  John A. Fortunato,et al.  Adoption of Digital Video Recorders and Advertising , 2005 .

[18]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[19]  Shin-Yuan Hung,et al.  User acceptance of WAP services: test of competing theories , 2005, Comput. Stand. Interfaces.

[20]  Jagdip Singh,et al.  Boundary Role Ambiguity in Marketing-Oriented Positions: A Multidimensional, Multifaceted Operationalization , 1991 .

[21]  David T. Wilson,et al.  A Longitudinal Study of the Impact of Market Structure, Firm Structure, Strategy, and Market Orientation Culture on Dimensions of Small-Firm Performance , 1996 .

[22]  Venkateshviswanath,et al.  A Theoretical Extension of the Technology Acceptance Model , 2000 .

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

[24]  Jan-Benedict E. M. Steenkamp,et al.  The use of LISREL in validating marketing constructs. , 1991 .

[25]  A. Adam.  Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[26]  Amy B. Woszczynski,et al.  The Problem of Common Method Variance in IS Research , 2004 .

[27]  J. Cockcroft.  The process of technological innovation , 1965 .

[28]  Mark Vandenbosch,et al.  Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions - Understanding Merchant Adoption of a Smart Card-Based Payment System , 2001, Inf. Syst. Res..

[29]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..

[30]  Hee-Woong Kim,et al.  A balanced thinking-feelings model of information systems continuance , 2007, Int. J. Hum. Comput. Stud..

[31]  Margherita Pagani,et al.  Interactive television: A model of analysis of business economic dynamics , 2000 .

[32]  Charles Chowa,et al.  Information System Success: Individual and Organizational Determinants , 2006, Manag. Sci..

[33]  Sanjiv D. Vaidya,et al.  Challenges in the adoption of E-Commerce technologies in India: The role of organizational factors , 2006, Int. J. Inf. Manag..

[34]  Mun Y. Yi,et al.  Understanding information technology acceptance by individual professionals: Toward an integrative view , 2006, Inf. Manag..

[35]  Nicholas S. Vonortas.  The Process of Technological Innovation , 1997 .

[36]  N. Panagopoulos,et al.  Intraorganizational information and communication technology diffusion: Implications for industrial sellers and buyers , 2007 .

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

[38]  Richard P. Bagozzi,et al.  The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift , 2007, J. Assoc. Inf. Syst..

[39]  T. Levine,et al.  The Desirability of Using Confirmatory Factor Analysis on Published Scales , 2006 .

[40]  Naresh K. Malhotra,et al.  A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena , 2005, Manag. Sci..

[41]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[42]  Blair H. Sheppard,et al.  The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research , 1988 .

[43]  D. Leonard-Barton,et al.  Managerial influence in the implementation of new technology , 1988 .

[44]  I. Ajzen.  The theory of planned behavior , 1991 .

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

[46]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[47]  Patrick De Pelsmacker,et al.  Opportunities and Thresholds for Advertising on Interactive Digital TV , 2006 .

[48]  N. Schillewaert,et al.  Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research , 2002 .

[49]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[50]  Arthur R. Tauder.  Getting Ready for the Next Generation of Marketing Communications , 2005, Journal of Advertising Research.

[51]  David C. Edelman.  From the Periphery to the Core: As Online Strategy Becomes Overall Strategy, Marketing Organizations and Agencies Will Never Be the Same , 2007, Journal of Advertising Research.

[52]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[53]  SabherwalRajiv,et al.  Information System Success , 2006 .

[54]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[55]  Chin-Lung Hsu,et al.  Adoption of the mobile Internet: An empirical study of multimedia message service (MMS) , 2007 .

[56]  Jang-Sun Hwang,et al.  Measures of Perceived Interactivity: An Exploration of the Role of Direction of Communication, User Control, and Time in Shaping Perceptions of Interactivity , 2002 .

[57]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[58]  B. Byrne.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[59]  R. Bagozzi,et al.  Multiple routes for social influence: The role of compliance, internalization and social identity. , 2002 .

[60]  R. Stine,et al.  Bootstrapping Goodness-of-Fit Measures in Structural Equation Models , 1992 .