The adoption of mobile weight management services in a virtual community: the perspective of college students.

Obesity among Taiwan college students is increasing every year. To help college students manage their weight, a prototype mobile weight management service system, the We Care for You Virtual Community (WCU VC), was designed, which would provide Web-based and cell-phone-based information services to individual participants. Conducted prior to system implementation, this study identified the factors affecting college student's intention in adopting the WCU VC as part of their weight control program. Employing the Technology Acceptance Model, factors associated with the college student's intention toward WCU VC were explored. Structural equation modeling analysis of collected data revealed that "perceived importance of health management" significantly affected the behavioral intention of adopting WCU VC services. Both "perceived importance of health management" and "perceived ease of use" had an indirect effect via "perceived usefulness" upon user's behavioral intention as well. With this knowledge of factors affecting student intention in participating in a Web-based and cell-phone-based weight control social support VC, a WCU VC system can be designed, which will promote the development of good weight management habits and contribute to the reduction in obesity-related chronic diseases among college students.

[1]  Thomas F. Stafford,et al.  Determining Uses and Gratifications for the Internet , 2004, Decis. Sci..

[2]  Clive Seale,et al.  The opening phase of telemedicine consultations: an analysis of interaction. , 2009, Social science & medicine.

[3]  Ping Yu,et al.  Health IT acceptance factors in long-term care facilities: A cross-sectional survey , 2009, Int. J. Medical Informatics.

[4]  J. Stern,et al.  Maintenance and relapse after weight loss in women: behavioral aspects. , 1990, The American journal of clinical nutrition.

[5]  Meghan L Butryn,et al.  Efficacy of lifestyle modification for long-term weight control. , 2004, Obesity research.

[6]  Bill Karakostas,et al.  The potential of virtual communities in the insurance industry in the UK and Greece , 2003, Int. J. Inf. Manag..

[7]  Wen-Yuan Jen,et al.  Mobile healthcare services in school-based health center , 2009, Int. J. Medical Informatics.

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

[9]  Qingxiong Ma,et al.  The impact of service level on the acceptance of application service oriented medical records , 2005, Inf. Manag..

[10]  Won-Seok Yoo,et al.  Exploring the Factors Enhancing Member Participation in Virtual Communities , 2002, J. Glob. Inf. Manag..

[11]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[12]  Vijay Sethi,et al.  Developing Measures for Assessing the Organizational Impact of Information Technology: A Comment on Mahmood and Soon's Paper , 1993 .

[13]  E. Ek,et al.  Stress-related eating and drinking behavior and body mass index and predictors of this behavior. , 2002, Preventive medicine.

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

[15]  Hock Chuan Chan,et al.  The perception and intention to adopt female-focused healthcare applications (FHA): A comparison between healthcare workers and non-healthcare workers , 2009, Int. J. Medical Informatics.

[16]  Anthony R. Hendrickson,et al.  Using Davis's Perceived Usefulness and Ease-of-use Instruments for Decision Making: A Confirmatory and Multigroup Invariance Analysis , 1998 .

[17]  Ming-Chien Hung,et al.  Mobile information and communication in the hospital outpatient service , 2007, Int. J. Medical Informatics.

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

[19]  Jen-Her Wu,et al.  Mobile computing acceptance factors in the healthcare industry : A structural equation model , 2006 .

[20]  D J Hunter,et al.  A review of health management research. , 2007, European journal of public health.

[21]  Cynthia M. Jackson,et al.  Toward an Understanding of the Behavioral Intention to Use an Information System , 1997 .

[22]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[23]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

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

[25]  R. Bagozzi,et al.  A Social Influence Model of Consumer Participation in Network- and Small-Group-Based Virtual Communities , 2004 .