Industrial production plays an important role for achieving a green economy and the sustainable development goals. Therefore, the nascent transformation of industrial production due to digitalization into a so-called Industrial Internet of Things (IIoT) is of great interest from a sustainable development point of view. This paper discusses how the environmental dimension of a sustainable development can potentially benefit from the IIoT—focusing especially on three topics: resource efficiency, sustainable energy and transparency. It presents a state of the art literature analysis of IIoT-enabled approaches addressing the three environmental topics. This analysis is compared with the findings of a survey among Chinese industrial companies, investigating the sustainability-related expectations of participants coming along with the implementation of IIoT solutions. China has been chosen as a case study because it brings together a strong industrial sector, ambitious plans regarding industrial digitalization and a high relevance and need for more sustainability. The survey was conducted with the means of a questionnaire which was distributed via email and used for direct on-site interviews. It focused on large and medium sized companies mainly from Liaoning Province and had a sample size of 109 participants.

Purpose: This paper provides a systematization of the existing body of literature on both employee participation goals and the intervention formats in the context of organizational change. Furthermore, degrees of employee involvement that the intervention formats address are identified and related to the goals of employee participation. On this basis, determinants of employee involvement and participation in the context of digital transformation are unveiled.Design/methodology/approach: Based on a systematic literature review the authors structure and relate employee participation goals and formats. Through a workshop with expert practitioners, the authors transfer and enhance these theoretical findings in the context of digital transformation. Experts rated the three most important goals and identified accompanying success factors, barriers and effects.Findings: The results show that it is not necessarily the degree of involvement but a context-specific selection of measures, the quality of their implementation as well as the actual uptake of suggestions and activities developed by employees that contribute to employees accepting and participating in goal-directed transformations. Moreover, employees must have sufficient information and time for their participation in transformation processes.Originality/value: This paper is based on a transformative approach, combining literature analysis to identify formats and goals of employee participation with experiential knowledge of digital transformation practitioners. In addition to relating intervention formats to goals pursued in organizational change processes, empirical and experiential perspectives are used to identify three very relevant goals and respective determinants in digital transformation processes.

The digitalisation of industrial production and the actual positive and negative consequences for sustainable development are not yet sufficiently understood. This study describes and evaluates the linkages between corporate digitalisation and sustainability management based on qualitative data analysis of sustainability reports of DAX 30 companies and applying the concept of sustainability worldviews. The results show a predominate worldview of weak or business‐centred sustainability on digitalisation, which could potentially pose a threat to sustainable development. In particular, the focus on customer demands without stakeholder involvement and the worldview of digitalisation as a way of doing ‘business as‐usual’ but in a more effective way reproduces unsustainable economic patterns. A holistic sustainable approach on digitalisation should also include possible negative impacts like increased resource consumption which is not the case yet in the studied companies. Different types of ‘sustainability worldviews on digitalisation’ can be distinguished. While ‘Pioneer’ companies can inform policy‐making, the other types of ‘Intermediates’, ‘Indecisive’ and ‘Laggards’ could be addressed by information exchange, support and regulation to promote a more sustainable worldview on corporate digitalisation. The ‘Unsustainable’ digitalisation type would be the most difficult to address with soft policy instruments and requires a more regulated approach.

The paper aims to explore the gaps and overlaps between statements of intergovernmental organizations (IGOs) working at the intersection of climate change, sustainable energy, and industrial development regarding the role of Industry 4.0 for climate change mitigation and the scientific literature addressing the energy and resource efficiency of Industry 4.0. To fulfill this objective, we conduct a two-tier review of relevant literature from both IGOs as well as academia. The analysis of documents from IGOs shows that Industry 4.0 is strongly associated with energy efficiency potentials that could contribute to climate change mitigation and more sustainable energy use in the industrial sector. Based on a review of the scientific literature, however, the paper concludes that it is currently not possible to validate this assumption and provide concrete figures since analyses providing a more comprehensive picture of potential energy savings, including possible negative effects and rebounds, are lacking. We suggest that these issues be addressed in further research, e.g., through concrete case studies that go beyond the assessment of single Industry 4.0 technologies. Furthermore, efforts should be strengthened to communicate findings from technology-centered research into political strategy-building and decision-making processes and, at the same time, raise awareness in the technological domain for the information needs of policymakers.

Artificial intelligence (AI) systems carry risks and opportunities for environmental sustainability. The use of AI systems, for instance, can result in both software-related (direct) as well as application-context-related (indirect) resource use. Stakeholders are expected to play a role in understanding and steering the environmental effects of AI systems. However, the processes and anticipated outcomes of stakeholder involvement in AI system lifecycles are not clear. We provide a non-exhaustive scoping review of six software and AI sustainability frameworks with respect to their recognition of environmental sustainability and the role of stakeholders in dealing with environmental sustainability. This serves to develop recommendations for future research on how stakeholder involvement can help firms and institutions design and use more sustainable AI systems.