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Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes, even when this would require changes in study routines. The model was tested with data from 251 students enrolled in distance learning Business Administration programs. Results of structural equation modeling supported most hypotheses. Over 71% of the variance of intention to use an e-learning platform were explained. Our findings indicate that students' perceptions of system usefulness and ease of use positively influence their intention to effectively use e-learning systems, and that these effects are fully mediated by students' attitudes towards the LMS. Furthermore, system usefulness and ease of use are influenced by students' cognitive absorption and self-efficacy, as well as by system interactivity and facilitating conditions (FC). 1 All acronyms used in the text are listed in Appendix.

In this study we investigate the connections between transformational leadership and subordinate formal and contextual performance among Brazilian employees. We also proposed and tested two mediating processes through which transformational leaders would enhance the performance of their staff: stronger follower identification with the leader and efficacy beliefs. These relations were tested with a sample of 107 managers from a multinational company that operates in the financial sector. The proposed structural equation model was assessed with Partial Least Squares (PLS) techniques. The results suggest that perceived transformational leadership is associated with higher levels of task performance and helping behaviors. Moreover, the proposed mediating processes were empirically supported. We discuss implications for theory and practice.

Purpose The purpose of this paper is to discuss two important behaviors related to job mobility in the IT profession, namely, changing jobs to move to another organization (turnover) and changing the profession entirely (turnaway), during a national crisis. Based on the theoretical foundation of the push–pull–mooring perspective, a research model is developed that includes professional self-efficacy (PSE), job insecurity (JI) and job satisfaction (JS) as important antecedents. Design/methodology/approach Using a positivist approach and a survey method, the authors analyzed data from IT professionals from different economic segments in Brazil. Data collection occurred in two distinctive moments of the largest crisis in modern Brazilian history – a pre-awareness moment (first half of year 2015) and a crisis-conscious moment (first half of year 2016). Findings The findings reveal that PSE negatively influences JI and positively influences JS, JI positively influences turnaway intention, and JS negatively influences both turnover intention and turnaway intention. The effect of the national crisis was observed in that it further accentuated the intention of IT professionals to leave the profession. Another effect was related to age, as older professionals are less willing to turn over but more willing to turn away. Research limitations/implications Besides developing a parsimonious model to study both the intention to leave the organization and the intention to leave the profession, the study sheds light on how IT professionals react to economic crises and how the reaction varies by age. Practical implications The study puts to question the common belief that IT professionals are secure in the job market due to high demand for their skills and investments made by organizations to keep them on the job. Employers must pay attention to JI and turnover/turnaway intentions. Originality/value This study is among the few to study JI and aspects of the theory of human migration in IT. It is also possibly the first to discuss the effects of a national crisis on the mobility patterns of IT professionals.

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