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This paper aims to elucidate responsible leadership as a construct with strong moral and ethical underpinnings, as well as a focus on multiple stakeholders and the triple bottom line. This paper also highlights the interdependence of the economic, social and environmental dimensions of a business to achieve corporate sustainability.

This conceptual paper is the outcome of analysing and synthesizing the findings of the literature review on three main constructs: responsible leadership, triple bottom line and corporate sustainability. This review enabled the development of logical associations among these constructs.

The literature revealed logical associations between responsible leadership, the triple bottom line and corporate sustainability. All three constructs embody the three dimensions of economic, social and environmental sustainability, which form the basis of the associations.

Responsible leadership, grounded in stakeholder theory, goes beyond the traditional dyadic leader–follower relationship to influence multiple stakeholders within and outside the organization and achieve positive outcomes for both the organization and society. Multiple levels of outcomes and higher levels of organizational performance for businesses are the hallmarks of responsible leadership.

This paper highlights the importance of responsible leadership and triple bottom-line performance for corporate sustainability. Responsible leadership has the potential to create significant impact on business and society, to achieve long-term corporate sustainability. A conceptual model of responsible leadership is also proposed to show the association between responsible leadership, the triple bottom line and corporate sustainability.

The OSCE is regarded as the gold standard of competence assessment in many healthcare programs, however, there are numerous internal and external sources of variation contributing to checklist marks. There is concern amongst organisers that candidates may be unfairly disadvantaged if they follow an “excellent” preceding candidate. This study assessed if average checklist scores differed depending on who a candidate follows accounted for different sources of variation.

This study examined assessment data from final year MBChB OSCEs at the University of Aberdeen and categorised candidates into three levels dependent on examiner awarded global scores of preceding candidates for each station. Data were modelled using a linear mixed model incorporating fixed and random effects.

A total of 349 candidates sat the OSCEs. The predicted mean (95% CI) score for students following an “excellent” candidate was 21.6 (20.6, 22.6), followed “others” was 21.5 (20.5, 22.4) and followed an “unsatisfactory” student was 22.2 (21.1, 23.3). When accounted for individual, examiner and station levels variabilities, students following an “excellent” candidate did not have different mean scores compared to those who followed “other” (p = 0.829) or “unsatisfactory” candidates (p = 0.162), however, students who followed an “unsatisfactory” student scored slightly higher on average compared to those who followed “other” (p = 0.038).

There was weak evidence that candidate's checklist variations could be attributed to who they followed, particularly those following unsatisfactory students; the difference in predicted mean scores may be of little practical relevance. Further studies with multiple centres may be warranted assuring perceived fairness of the OSCE to candidates and educators.

Purveyors of fake news perpetuate information that can harm society, including businesses. Social media's reach quickly amplifies distortions of fake news. Research has not yet fully explored the mechanisms of such adversarial behavior or the adversarial techniques of machine learning that might be deployed to detect fake news. Debiasing techniques are also explored to combat against the generation of fake news using adversarial data. The purpose of this paper is to present the challenges and opportunities in fake news detection.

First, this paper provides an overview of adversarial behaviors and current machine learning techniques. Next, it describes the use of long short-term memory (LSTM) to identify fake news in a corpus of articles. Finally, it presents the novel adversarial behavior approach to protect targeted business datasets from attacks.

This research highlights the need for a corpus of fake news that can be used to evaluate classification methods. Adversarial debiasing using IBM's Artificial Intelligence Fairness 360 (AIF360) toolkit can improve the disparate impact of unfavorable characteristics of a dataset. Debiasing also demonstrates significant potential to reduce fake news generation based on the inherent bias in the data. These findings provide avenues for further research on adversarial collaboration and robust information systems.

Adversarial debiasing of datasets demonstrates that by reducing bias related to protected attributes, such as sex, race and age, businesses can reduce the potential of exploitation to generate fake news through adversarial data.

This study examines how applying innovative I4.0 technologies at the design stage can help reduce construction waste and improve the recovery, reuse, and recycling of construction materials.

The study adopts a three-stage sequential mixed methods approach, involving a thorough review of current literature, interviews with six experts in digital construction, and a survey of 75 experienced industry practitioners.

The study identifies and discusses how ten specific digital technologies can improve design stage processes leading to improved circularity in construction, namely, (1) additive and robotic manufacturing; (2) artificial intelligence; (3) big data analytics; (4) blockchain technology; (5) building information modelling; (6) digital platforms; (7) digital twins; (8) geographic information systems; (9) material passports and databases; and (10) Internet of things. It demonstrates that by using these technologies to support circular design concepts within the sector, material recycling rates can be improved and unnecessary construction waste reduced.

This research provides researchers and practitioners with improved understanding of the potential of digital technology to recycle construction waste at the design stage, and may be used to create an implementation roadmap to assist designers in finding tools and identifying them.

Little consideration has been given to how digital technology can support design stage measures to reduce construction waste. This study fills a gap in knowledge of a fast-moving topic.

This paper aims to discuss the experiences designing and conducting an experiential learning virtual incident response tabletop exercise (VIRTTX) to review a business's security posture as it adapts to remote working because of the Coronavirus 2019 (COVID-19). The pandemic forced businesses to move operations from offices to remote working. Given that this happened quickly for many, some firms had little time to factor in appropriate cyber-hygiene and incident prevention measures, thereby exposing themselves to vulnerabilities such as phishing and other scams.

The exercise was designed and facilitated through Microsoft Teams. The approach used included a literature review and an experiential learning method that used scenario-based, active pedagogical strategies such as case studies, simulations, role-playing and discussion-focused techniques to develop and evaluate processes and procedures used in preventing, detecting, mitigating, responding and recovering from cyber incidents.

The exercise highlighted the value of using scenario-based exercises in cyber security training. It elaborated that scenario-based incident response (IR) exercises are beneficial because well-crafted and well-executed exercises raise cyber security awareness among managers and IT professionals. Such activities with integrated operational and decision-making components enable businesses to evaluate IR and disaster recovery (DR) procedures, including communication flows, to improve decision-making at strategic levels and enhance the technical skills of cyber security personnel.

It maintained that the primary implication for practice is that they enhance security awareness through practical experiential, hands-on exercises such as this VIRTTX. These exercises bring together staff from across a business to evaluate existing IR/DR processes to determine if they are fit for purpose, establish existing gaps and identify strategies to prevent future threats, including during challenging circumstances such as the COVID-19 outbreak. Furthermore, the use of TTXs or TTEs for scenario-based incident response exercises was extremely useful for cyber security practice because well-crafted and well-executed exercises have been found to serve as valuable and effective tools for raising cyber security awareness among senior leadership, managers and IT professionals (Ulmanová, 2020).

This paper underlines the importance of practical, scenario-based cyber-IR training and reports on the experience of conducting a virtual IR/DR tabletop exercise within a large organisation.

This article analyses a major healthcare and social welfare reform establishing new regional and integrated wellbeing services counties in Finland. The authors approach the reform and service integration as a knowledge management (KM) issue and analyse how KM appears and contributes in the context of integrated care, specifically in the process of integrating social and health care.

The article analyses the case organisation's KM initiatives in light of the integrated care literature and recognises the tasks and requirements for effective KM when building integrated health and social care system. The empirical research material for this qualitative study consisted of the case organisation's strategy documents, the results of an external maturity assessment, KM workshop materials and publicly available documentation of the Finnish health and social care reform.

This study identifies the mechanisms by which KM can support health and social services integration. At the macro level, national coordination and regional co-operation require common information structures. At the meso level, a shared regional strategy with shared objectives guides both organisational decision-making and collaboration between professionals. At the micro level, technology supported and data-driven planning of service chains complements the experiences of professionals and may help remove obstacles to integration.

This study contributes to the literature on integrated care by providing a more comprehensive view of the role and tasks of knowledge and KM when reforming health and social services than approaches focussing solely on health informatics and internal efficiency.

Social entrepreneurship (SE) is a complex phenomenon designed to resolve numerous societal challenges while remaining economically viable. However, how social entrepreneurs in developing countries have deployed digital technologies to address communal challenges during the Covid-19 crisis is largely undocumented. This research examines social entrepreneurs' adoption of digital technologies, the multi-level organisational conditions, and associated innovative outcomes of engaging digital technologies.

Based on the organisational resilience theoretical framework, this research employs a qualitative methodology, comprising 38 semi-structured interviews with Nigerian SE firms, to investigate social entrepreneurs' engagement with digital technologies.

The study’s findings reveal 19 pathways through which digital technologies enabled organisational resilience outcomes by Nigerian SE firms during the Covid-19 pandemic. This allows the authors to show, via a 3 × 3 matrix, how social entrepreneurs deploy digital technologies to build proximate, dynamic, and continuous resilience in a weak institutional context.

The study’s findings enables the authors to advance the SE – digital technologies – resilience scholarship in a developing economy.

Fully autonomous self-driving cars not only hold the potential for significant economic and environmental advantages but also introduce complex ethical dilemmas. One of the highly debated issues, known as the “trolley problems,” revolves around determining the appropriate actions for a self-driving car when faced with an unavoidable crash. Currently, the discourse on autonomous vehicle (AV) crash algorithms is primarily shaped by Western ethical traditions, resulting in a Eurocentric bias due to the dominant economic and political influence of the West. However, considering that AV technology will be deployed across diverse cultural and religious contexts, this paper aims to contribute to the discourse by providing an Islamic perspective on programming the response of AVs in the event of an imminent crash.

This study proposes a novel methodology based on the Islamic concept of maṣlaḥa for the normative assessment of ethical decisions related to AV programming.

Drawing upon the works of classic Islamic jurists, this study highlights two distinct normative visions within Islamic traditions (akin to deontology and consequentialism) concerning the preservation of human lives in the context of AVs. This study explores the shared and divergent elements between Islamic and Western ethical approaches proposed for AVs.

This pioneering work examines AV crash algorithms from an Islamic perspective, filling a void in the global ethical discourse. This work will also serve an important role to bridge the gap between the theoretical Islamic ethical principles and their practical application in the realm of AVs.