Age cohort analysis in adoption of mobile data services: gen Xers versus baby boomers

Purpose – This study aims to examine the differences in adoption of mobile data services between two age cohorts (gen Xers and baby boomers). Three elements in the extended Technology Acceptance Model – perceived usefulness, perceived ease of use, and perceived fun – were used to identify the differences in adoption of mobile data services for the two age cohorts.Design/methodology/approach – A sample of 200 mobile services users drawn from a purchased consumer panel participated in an online survey. Of this sample, 67 gen Xers and 86 baby boomers were used for the analysis (n=153). Multigroup structural equation modeling analysis was used to examine the differences in adoption of mobile data services between the two age cohorts.Findings – This study found that baby boomers perceived mobile data services as more difficult to use than gen Xers. However, the perception of usefulness of mobile data services was stronger for the baby boomers than gen Xers. Usefulness of mobile data services may be a critical ...

[1]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[2]  S. Barnes,et al.  Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study , 2005 .

[3]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[4]  Jinwoo Kim,et al.  A Cross-Cultural Study on the Value Structure of Mobile Internet Usage: Comparison Between Korea and Japan , 2002, J. Electron. Commer. Res..

[5]  M. Fishbein An Investigation of the Relationships between Beliefs about an Object and the Attitude toward that Object , 1963 .

[6]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .

[7]  R. Bagozzi,et al.  An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors , 2002 .

[8]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[9]  Peter D. Bennett Dictionary of marketing terms , 1995 .

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

[11]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

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

[13]  Roger J. Calantone,et al.  Academic Insights: An Application of Multiple-Group Causal Models in Assessing Cross-Cultural Measurement Equivalence , 2000 .

[14]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

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

[16]  Paul A. Pavlou,et al.  What Drives Electronic Commerce across Cultures? Across-Cultural Empirical Investigation of the Theory of Planned Behavior , 2002, J. Electron. Commer. Res..

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

[18]  Naveen Donthu,et al.  Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics , 2006 .

[19]  Chin Chin Wong,et al.  Correlations between factors affecting the diffusion of mobile entertainment in Malaysia , 2005, ICEC '05.

[20]  Francis Pereira,et al.  Global Acceptance of Technology (GAT) and Demand for Mobile Data Services , 2005 .

[21]  Christian Homburg,et al.  Applications of structural equation modeling in marketing and consumer research: A review , 1996 .

[22]  Per E. Pedersen,et al.  Intentions to use mobile services: Antecedents and cross-service comparisons , 2005 .

[23]  Gordon C. Bruner,et al.  Explaining consumer acceptance of handheld Internet devices , 2005 .

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

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

[26]  Daniel J. McFarland The Role of Age and Efficacy on Technology Acceptance; Implications for E-Learning , 2001, WebNet.

[27]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

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

[29]  J Sharit,et al.  Ageing, computer-based task performance, and stress: issues and challenges. , 1994, Ergonomics.

[30]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .