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This paper examines the port of Mombasa’s attempted implementation of computer-based terminal operating systems (TOS); the challenges faced and the outcomes. In addition to enhancing its operations efficiency, a key motivation for the technology was to facilitate better integration and connectivity to the Belt and Road as a key gateway along the key route. It utilised a qualitative single-case methodology, involving a combination of semi-structured interviews, non-participant observations and content analysis of relevant policy documents and reports provided by the port. The paper finds that the attempt to adopt and implement TOS at the port mostly failed as a result of a complex combination of technological, organisational and environmental factors. Most importantly, the wider business environment was ill equipped with the necessary information communication technology (ICT) infrastructure to support effective implementation. There was also a general lack of appropriately skilled workers to support and drive the same.

The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.

As focal firms in supply networks reflect on their experiences of the pandemic and begin to rethink their operations and supply chains, there is a significant opportunity to leverage digital technological advances to enhance socially responsible operations performance (SROP). This paper develops a novel framework for exploring the adoption of Industry 4.0 technologies for improving SROP. It highlights current best-practice examples and presents future research pathways.

This viewpoint paper argues how Industry 4.0 technology adoption can enable effective SROP in the post-COVID-19 era. Academic articles, relevant grey literature, and insights from industry experts are used to support the development of the framework.

Seven technologies are identified that bring transformational capabilities to SROP, i.e. big data analytics, digital twins, augmented reality, blockchain, 3D printing, artificial intelligence, and the Internet of Things. It is demonstrated how these technologies can help to improve three sub-themes of organisational social performance (employment practices, health and safety, and business practices) and three sub-themes of community social performance (quality of life and social welfare, social governance, and economic welfare and growth).

A research agenda is outlined at the intersection of Industry 4.0 and SROP through the six sub-themes of organisational and community social performance. Further, these are connected through three overarching research agendas: “Trust through Technology”, “Responsible Relationships” and “Freedom through Flexibility”.

Organisational agendas for Industry 4.0 and social responsibility can be complementary. The framework provides insights into how Industry 4.0 technologies can help firms achieve long-term post-COVID-19 recovery, with an emphasis on SROP. This can offer firms competitive advantage in the “new normal” by helping them build back better.

People and communities should be at the heart of decisions about rethinking operations and supply chains. This paper expresses a view on what it entails for organisations to be responsible for the supply chain-wide social wellbeing of employees and the wider community they operate in, and how they can use technology to embed social responsibility in their operations and supply chains.

Contributes to the limited understanding of how Industry 4.0 technologies can lead to socially responsible transformations. A novel framework integrating SROP and Industry 4.0 is presented.

During the last decade, a firm's ability to innovate has gained substantial attention in the literature devoted to innovation and strategic management. This study aims at discussing on what is the relationship of a firm's commitment to learn and its open-mindedness with its activity in introducing organizational innovations. The data collection was carried out in Russia. In order to make the research more specific, the organizational innovation is broken down into two subtypes, namely innovation in management practices and innovation in workplace organization.

The study is grounded on the data obtained by the surveying of 123 Russian top managers working in manufacturing firms. The structural equation modeling was approached in order to investigate the impact of a firm's commitment to learn and open-mindedness on its organizational innovation.

The results indicate that the commitment to learn and the open-mindedness have considerable impact on organizational innovation activity in a firm. The findings also provide evidence that both the investigated subtypes of organizational innovation are positively influenced by commitment to learn and open-mindedness, though the degree of that influence differs.

The literature traditionally focuses mostly on the technological type of innovation leaving the organizational innovation covered by scarce research. In this respect the study contributes to the theory of organizational innovation by elaborating its relations with organizational learning dimensions. Apart from the investigation on the research question at a general level, the study explores the specific context related to the manifestation of phenomenon in a transition economy of Russia.