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The purpose of this research is to investigate the factors that influence engineering researchers’ data reuse behaviours.

The data reuse behaviour model of engineering researchers was investigated by using a survey method. A national survey was distributed to engineering researchers in the USA, and a total of 193 researchers responded.

The results showed that perceived usefulness, perceived concerns and norms of data reuse have significant relationships with attitudes toward data reuse. Also, attitudes toward data reuse and the availability of data repositories were found to have significant influences on engineering researchers’ intention to reuse data.

This research used a combined theoretical framework by integrating the theory of planned behaviour (TPB) and the technology acceptance model (TAM). The combination of the TPB and the TAM effectively explained engineering researchers’ data reuse behaviours by addressing individual motivations, norms and resource factors.

This research has practical implications for promoting more reliable and beneficial data reuse in the engineering community, including encouraging positive motivations toward data reuse, building community norms of data reuse and setting up more data repositories.

As prior research on data reuse mainly used interviews, this research used a quantitative approach based on a combined theoretical framework and included diverse research constructs which were not tested in the previous research models. As one of the initial studies investigating data reuse behaviours in the engineering community, the current research provided a better understanding of data reuse behaviours and suggested possible ways to facilitate engineering researchers’ data reuse behaviours.

The purpose of this paper is to examine the effect of learning organization on work engagement in Indian IT firms. Also, this study provides a holistic understanding of antecedents of work engagement at the individual, team, and organizational levels of learning organization.

The sample comprised of responses from 250 managerial employees’ working in IT companies based in India. Confirmatory factor analysis was employed to analyze the proposed measurement model. The study utilized hierarchical multiple regression for testing the research hypotheses. Furthermore, incremental validity was examined to depict the variance contribution of the predictor variables (learning organization).

The results of hierarchical regression analysis revealed that learning organization dimensions have varied predicting effects on work engagement. The findings of the study showed that vigor and dedication were most significantly predicted by embedded system and continuous learning opportunities of learning organization where as inquiry and dialogue has the most significant influence on absorption.

This study offers concrete insights to human resource managers for developing prioritized composite-level interventions at individual, team, and organizational levels of learning organization for building highly engaged workforce.

Despite number of research works on work engagement, research is deficient in examining the role of learning organization dimensions (individual, team and organization level) in influencing work engagement. By investigating the relationship between learning organization and work engagement, the present study embarks to fill the paucity in academic and practitioner literature in the Indian organizational context.