Information Technology Acceptance by Individual Professionals: A Model Comparison Approach*

The proliferation of innovative and exciting information technology applications that target individual “professionals” has made the examination or re‐examination of existing technology acceptance theories and models in a “professional” setting increasingly important. The current research represents a conceptual replication of several previous model comparison studies. The particular models under investigation are the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and a decomposed TPB model, potentially adequate in the targeted healthcare professional setting. These models are empirically examined and compared, using the responses to a survey on telemedicine technology acceptance collected from more than 400 physicians practicing in public tertiary hospitals in Hong Kong. Results of the study highlight several plausible limitations of TAM and TPB in explaining or predicting technology acceptance by individual professionals. In addition, findings from the study also suggest that instruments that have been developed and repeatedly tested in previous studies involving end users and business managers in ordinary business settings may not be equally valid in a professional setting. Several implications for technology acceptance/adoption research and technology management practices are discussed.     

Serving two masters: Commitment profiles of employees in the German military reserve

Research on commitment has highlighted the importance of understanding multiple commitments to similar objects, and there is a desire to clarify the attendant complex interactions by applying a person-centred approach to commitment. Although there is a rich body of knowledge on commitment, questions regarding possible conflicts among the various types of commitment remain unanswered. Specifically, we know little about the effects of commitment to objects with similar characteristics (e.g. organizations) across domains (e.g. civil vs military). We draw on a sample of individuals in the German military reserve (N = 303) who serve voluntarily as soldiers in the armed forces and parallel work in civil organizations. We test hypotheses regarding the presence of different commitment profiles. We identified five commitment profiles and evidence for both within- and cross-domain effects of the antecedents and outcomes of commitment.     

Intentions to leave and actual turnover of community midwives in the Netherlands: A mixed method study exploring the reasons why

BackgroundIn the Netherlands, the turnover of midwives of relatively young age is high. This is concerning since a lack of midwifery experience can negatively affect the quality of maternity care.AimTo study the rate and the reasons for intending to leave, and to explore the reasons for leaving midwifery jobs in the Netherlands.MethodsWe used a mixed-methods design including a quantitative survey (N = 726) followed by qualitative interviews (N = 17) with community midwives.FindingsAlmost one third of the respondents considered leaving the profession. The decision to actually leave the job was the result of a process in which midwives first tried to adapt to their working conditions, followed by feelings of frustration and finally feelings of decreased engagement with the work. The reasons for leaving midwifery practice are an accumulation of job demands, lack of social resources and family responsibilities.DiscussionCompared to international figures, we found a lower rate of midwives who considered leaving the profession. This could be explained by the differences in the organisation of midwifery care and the relatively high job autonomy of midwives in the Netherlands. Nevertheless, changes must be made in terms of decreasing the demands of the job and creating more job resources.ConclusionInnovations in the organisational structure that focus on continuity of care for pregnant individuals, job satisfaction for midwives and building a sustainable workforce may result in an increase in the retention of midwives. These innovations would ensure that women and their babies receive the best care possible.