The response of Health Professionals to the use of health information technology (IT) is an important research topic that can partly explain the success or failure of any Health IT application. The present study applied a modified version of the revised Technology Acceptance Model1 to assess the relevant beliefs, and acceptance of Health IT systems in a sample of health professionals (N = 133). Structured anonymous questionnaires were used and a cross-sectional design was employed. The main outcome measure was the intention to use Health IT systems. Analysis of Variance (ANOVA) was employed to examine differences in TAM-related variables between nurses and medical doctors, and no significant differences were found. Multiple linear regression analysis was used to assess the predictors of Health IT usage intentions. The findings showed that perceived ease of use, but not usefulness, relevance and subjective norms directly predicted Health IT usage intentions. The present findings suggest that a modification of the original TAM approach is needed to better understand health professionals' support and endorsement of Health IT. Perceived ease of use, relevance of Health IT to the medical and nurse professions, as well as social influences should be tapped by information campaigns aiming to enhance support for Health IT in healthcare settings.

Environmental sustainability is an issue of great concern among organizations and enterprises globally. The concept of Green Supply Chain Management (GSCM) has emerged as a potential solution in an attempt to reformulate the entire supply chain according to environmental priorities. Nevertheless, there still remains a question about whether people involved in the supply chain, from warehouse employees, to CEOs and customers would endorse the effective implementation GSCM policies and practices. The present article presents a psychological perspective to GSCM adoption and attempts to explain the role and importance of the human factor in 'greening' the supply chain by providing relevant examples from prominent psychological theories.