Physicians' Behavior Intentions Regarding the Use of Mobile Technology: An Exploratory Study

This study aims to explore physicians’ willingness to accept new technology in the form of a mobile medical information system. The study focuses on the effects of temporal and spatial working behavior. A research model built up on previous research into the adoption of an information system, mainly TAM and UTAUT, is proposed and empirically tested, using data collected from 134 physicians working in the health-care sector in Finland. The results suggest that our proposed model could explain about 61% of the variance in physicians’ intentions to use the mobile system. Spatial working behavior has the potential to moderate the relationships between physicians’ beliefs and their intention to use mobile technology, in this case the mobile medical information system. Temporal working behavior as an important external variable does affect physicians’ beliefs of the mobile system, exerting a negative impact on their perceived usefulness of the system. It is too soon to examine the effects of temporal and spatial working behavior on individual adoption of technology; further validation of our findings is necessary in other contexts.

[1]  E. Hall,et al.  The Hidden Dimension , 1970 .

[2]  Christian Heath,et al.  Mobility in collaboration , 1998, CSCW '98.

[3]  Per E. Pedersen,et al.  Usefulness and Self-Expressiveness: Extending TAM to Explain the Adoption of a Mobile Parking Service , 2003, Bled eConference.

[4]  Stuart J. Barnes,et al.  The mobile commerce value chain: analysis and future developments , 2002, Int. J. Inf. Manag..

[5]  T. S. Robertson,et al.  Competitive Effects on Technology Diffusion , 1986 .

[6]  Thompson S. H. Teo,et al.  Adoption of WAP-enabled mobile phones among Internet users , 2003 .

[7]  E. Rogers.  Diffusion of Innovations , 1962 .

[8]  R. Zmud,et al.  Information technology implementation research: a technological diffusion approach , 1990 .

[9]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[10]  Per E. Pedersen,et al.  Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters , 2005, J. Organ. Comput. Electron. Commer..

[11]  Robert C. Nickerson,et al.  Issues in Mobile E-Commerce , 2002, Commun. Assoc. Inf. Syst..

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

[13]  Wanda J. Orlikowski,et al.  Research Commentary: Desperately Seeking the "IT" in IT Research - A Call to Theorizing the IT Artifact , 2001, Inf. Syst. Res..

[14]  Marc Berg,et al.  Patient care information systems and health care work: a sociotechnical approach , 1999, Int. J. Medical Informatics.

[15]  S. Gopalakrishnan,et al.  A review of innovation research in economics, sociology and technology management , 1997 .

[16]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[17]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[18]  B. Gutek,et al.  Some time dimensions of work: Measurement of an underlying aspect of organization culture. , 1987 .

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

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

[21]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[22]  D. I. Hawkins,et al.  Marketing Research: Meaning, Measurement and Method , 1977 .

[23]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[24]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

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

[26]  C. Sørensen,et al.  ‘ Post-Modern ’ Professional Work and Mobile Technology , 2002 .

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

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

[29]  Steve Sawyer,et al.  Conceptualizing Time and Space: Information Technology, Work, and Organization , 2002, ICIS.

[30]  Per E. Pedersen,et al.  The adoption of mobile services : a cross service study , 2002 .

[31]  Mohamed Khalifa,et al.  Adoption of Mobile Commerce: Role of Exposure , 2002, HICSS.

[32]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

[33]  Charles Benabou.  Polychronicity and temporal dimensions of work in learning organizations , 1999 .

[34]  Paul Jen-Hwa Hu,et al.  Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study , 2002, J. Manag. Inf. Syst..

[35]  H. Triandis.  Attitude and attitude change , 1971 .

[36]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..