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In this study, the authors use the actor-network theory (ANT) as a theoretical framework to better understand constructing learning as part of the networking process to produce innovations. Focussing on the antecedents of innovation within three teams in an engineering company, the authors propose a framework to enhance understanding of the innovative processes. The authors apply ANT to examine how informal learning is distributed amongst human and non-human actors.

Based on 27 interviews in a large Australian engineering company, the authors' qualitative investigation shows that innovation can have very different antecedents. The authors mobilised ANT as the authors' vantage point to explore inanimate actors and their effect on social processes or, more specifically, networks and informal learning.

The authors propose a framework to better understand innovative processes by exploring the network aspects of non-human actors and their connection to learning. More specifically, findings contribute towards a more granulated understanding of how networks, learning and non-human actors contribute towards innovations in organisations.

This study has three significant implications for managers and organisations looking to improve their innovation processes. Firstly, fostering open communication is essential for developing successful innovation processes. Secondly, a close relationship with the customer and/or the final users has often been found to positively contribute to innovation processes. Finally, intrateam motivation is also critical when it comes to creating an environment that supports innovation processes.

Surprisingly, leadership, communication and motivation did not give the best innovative outcome as the authors expected. Challenging traditional theorisations, low teamwork spirit and high individual performance orientation were some of the powerful drivers of highly innovative teams.

The purpose of this paper is to investigate whether air pollution has significant impact on corporate cash holdings and financial leverage.

The data of 199 firms listed on Istanbul Stock Exchange during the period 2009–2020 is analyzed by using pooled ordinary least squares and two-step system generalized method of moments models.

The results indicate that firms in regions with high air pollution tend to increase cash level. In addition, the positive effect of air pollution on cash level is stronger and more significant for environmentally sensitive firms and firms with low operational and distress risk. The results also show insignificant effect of air pollution on financial leverage.

Firms in regions with high air pollution should conduct proactive environmental protection procedures and enhance their eco-efficiency instead of holding excess cash that could negatively affect financial performance. In this context, policymakers should provide financial facilities to firms located in regions with high air pollution and that have low ability to finance environmental investments. On the other hand, the environmental laws and regulations introduced by regulatory authorities can enhance the economic development and firm performance by decreasing the adverse influences of air pollution on corporate financial policies.

To the best of the author’s knowledge, this research is one of few that examines the impact of air pollution on corporate cash holdings and financial leverage in emerging markets.

This study aims to use the dual-continuum model of mental health to explore mental health in Australian construction apprentices from the perspective of key stakeholders in the apprenticeship model. In particular, this study explored how construction apprentices, Vocational Education and Training (VET) teachers, industry employers and mental health workers understood the construct of mental health, factors associated with the dimension of psychological distress/symptoms of mental illness, and factors associated with the dimension of mental wellbeing.

This study used an exploratory qualitative research design. Data from 36 semi-structured interviews were analysed using thematic analysis. Participants comprised 19 Australian construction apprentices, 5 VET teachers, 7 industry employers and 5 mental health workers.

In total, 14 themes were generated from the data set. Participants across stakeholder groups reported a limited understanding about mental health. Participants cited a range of negative personal, workplace and industry factors associated with psychological distress/symptoms of mental illness, but only reported a few factors associated with mental wellbeing.

To the best of the authors’ knowledge, this study is one of the first to use the dual-continuum model of mental health to explore the mental health of Australian construction apprentices, and to explore the factors associated with both dimensions of this model from the perspective of key stakeholders in the Australian construction apprenticeship model.