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Drawing on the theory of planned behavior and value-belief norms theory, this study aims to explore the causes of pro-environmental behavioral intentions in the context of Sri Lanka.

Data were garnered from 503 subjects with the aid of self-reported questionnaires. The formulated hypotheses were examined using a variance-based statistical approach (PLS-SEM).

The findings of the study revealed that personal values, particularly altruistic and biosphere values, significantly strengthen the psychological drivers of pro-environmental behavioral intentions. The study further found that religiosity enhances the association between personal norms and pro-environmental behavioral intentions and the place attachment augments the relationship between attitude and pro-environmental behavioral intentions.

This study suggests that instilling altruistic and biosphere values in individuals can boost pro-environmental behavioral intentions. Campaigns and educational programs could focus on instilling these values to foster responsibility and empathy. Recognizing the influence of religiosity on pro-environmental behaviors and attitudes, this study suggests collaborative efforts between organizations and religious institutions. Religious leaders can integrate environmental stewardship into teachings, emphasizing ethical responsibilities.

The study pushes back the frontiers of environmental consciousness literature by highlighting the importance of personal values, psychological factors and contextual variables such as religiosity and place attachment in fostering pro-environmental behavior within the specific context of an emerging country – Sri Lanka.

As one of the most energy-intensive sectors, the manufacturing industry is strongly affected by current economic, ecological and political issues and is increasingly looking to reduce its energy consumption through effective management. One important component of energy management is monitoring, which can be improved by using the Internet of Things (IoT). This study aims to identify the factors behind the adoption of IoT energy monitoring systems in manufacturing industries and IoT’s impact on consumption in this context. Moreover, this study explores what constitutes successful implementation and develops recommendations on how companies can best use the generated energy-saving potential.

For this purpose, an exploratory, inductive research approach is taken in which five semi-structured interviews with IoT energy-monitoring platform providers located in Germany are conducted and additional documents about these platforms are analysed.

Based on these interviews and documents, this study defines the relevant factors involved in the increased adoption of IoT energy monitoring systems as desired cost reduction, regulatory requirements and customer expectations. Once implemented, a company’s energy efficiency potential strongly depends on its individual situation; however, the transparency characteristic of IoT supports managers in deriving effective energy-saving measures. Additionally, the used efficiency potential is influenced by the level of data collection and organisational capabilities.

To the best of the authors’ knowledge, as the first study, this research combines findings from the energy management and IoT research streams and places them into an organisational context. The application of the fit-viability model as an overarching framework enhances the theoretical contributions of this study. Moreover, focusing on Germany and its substantial industrial sector enables the gathering of important insights and the analysis of the specific use case of industrial IoT, which yields new findings for practitioners as well.