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Cybersecurity vulnerabilities are often due to human users acting according to their own ethical priorities. With the goal of providing tailored training to cybersecurity professionals, the authors conducted a study to uncover profiles of human factors that influence which ethical principles are valued highest following exposure to ethical dilemmas presented in a cybersecurity game.

The authors’ game first sensitises players (cybersecurity trainees) to five cybersecurity ethical principles (beneficence, non-maleficence, justice, autonomy and explicability) and then allows the player to explore their application in multiple cybersecurity scenarios. After playing the game, players rank the five ethical principles in terms of importance. A total of 250 first-year cybersecurity students played the game. To develop profiles, the authors collected players' demographics, knowledge about ethics, personality, moral stance and values.

The authors built models to predict the importance of each of the five ethical principles. The analyses show that, generally, the main driver influencing the priority given to specific ethical principles is cultural background, followed by the personality traits of extraversion and conscientiousness. The importance of the ingroup was also a prominent factor.

Cybersecurity professionals need to understand the impact of users' ethical choices. To provide ethics training, the profiles uncovered will be used to build artificially intelligent (AI) non-player characters (NPCs) to expose the player to multiple viewpoints. The NPCs will adapt their training according to the predicted players’ viewpoint.

A new triage method, MBCE (Medical Bio Social Ethics), is presented with social justice, bio, and medical ethics for critical resource distribution during a pandemic. Ethical triage is a complex and challenging process that requires careful consideration of medical, social, cultural, and ethical factors to guide the decision-making process and ensure fair and transparent allocation of resources. When assigning priorities to patients, a clinician would evaluate each patient’s medical condition, age, comorbidities, and prognosis, as well as their cultural and social background and ethical factors.

A statistical analysis shows no interactions among the ethical triage factors. It implies the ethical components have no moderation effect; hence, each is independent. The result also points out that medical and bioethics may have an affinity for interactions. In such cases, there seem to be some ethical factors related to bio and medical ethics that are correlated. Therefore, the triage team should be careful in evaluating patient cases. The algorithm is explained with case histories of the selected patient. A group of triage nurses and general medical practitioners assists with the triage.

The MBCE triage algorithm aims to allocate scarce resources fairly and equitably. Another ethical principle in this triage algorithm is the principle of utility. In a pandemic, the principle of utility may require prioritizing patients with a higher likelihood of survival or requiring less medical care. The research presents a sensitivity analysis of a patient’s triage score to show the algorithm’s robustness. A weighted score of ethical factors combined with an assessment of triage factors combines multiple objectives to assign a fair triage score. These distinctive features of the algorithm are reasonably easy to implement and a new direction for the unbiased triage principle.

The idea is to make decisions about distributing and using scarce medical resources. Triage algorithms raise ethical issues, such as discrimination and justice, guiding medical ethics in treating patients with terminal diseases or comorbidity. One of the main ethical principles in triage algorithms is the principle of distributive justice.

Many scholars have primarily disregarded employee motivation in the context of Western and Islamic ideas. To better understand employee motivation, this paper aims to explore a novel approach of fusing McClelland’s needs theory (i.e. achievement, power and affiliation) with Maqasid Shariah.

This study adopts a theoretical research design. There will be a thorough literature study of McClelland’s theory, Maqasid Shariah, and employee motivation. Qualitative content analysis is used to examine and compile pertinent ideas. To give a thorough framework for comprehending employee motivation from both Western and Islamic ethical viewpoints, McClelland’s theory and Maqasid Shariah are integrated.

This paper has conceptualized the integration of Maqasid Shariah’s five requirements with McClelland’s need theory. It is suggested that Maqasid Shariah and McClelland’s need theory be combined to understand employee motivation. For employees, the integration of McClelland’s need theory and Maqasid Shariah entails developing a work environment that attends to their many needs, is consistent with Islamic principles, encourages justice and equity, supports both professional and personal development and promotes social responsibility. By combining McClelland’s need theory and Maqasid Shariah, 15 propositions are developed to explain employee motivation. The study offers a measurement index to explain employee motivation based on the two theories.

The integration of McClelland’s theory of need and Maqasid Shariah offers expected positive implications. By considering the cultural and religious context in Islamic societies, researchers can adopt a more sensitive approach to studying motivation. This blend provides a holistic understanding of motivation, incorporating individual needs and broader ethical dimensions. Studies may explore the impact on prosocial behavior, organizational values, leadership practices and employee well-being. Understanding the alignment between personal motives and ethical principles can benefit organizations in diverse workplaces, emphasizing long-term sustainability and fostering employee engagement and commitment.

The integration of McClelland’s theory and Maqasid Shariah shows the potential implications to increase employee motivation. This study contributes significantly to Maqasid Shariah theory in business research by guiding ethical decision-making aligned with Islamic values, fostering inclusive workplaces and offering strategies for boosting employee morale. It emphasizes ethical practices, legal compliance and community engagement, while also encouraging sustainable business models that consider societal well-being and the environment.

This paper provides its unique value by being among the first to integrate McClelland’s theory and Maqasid Shariah and providing an innovative approach in developing a new measurement index in the context of employee motivation.

In this final chapter, we explore the ever-evolving 21st century landscape where ethics drive community development toward resilience and progress. Drawing inspiration from the subheadings mapping our journey, we traverse international case studies spanning Canada, Brazil, Sweden, Kenya, China, Australia, Antarctica, and India. Through these global insights, we uncover the impacts of dynamic forces on communities worldwide, navigating ethical dilemmas and opportunities. We present strategies tailored to diverse continent-specific needs, explore inclusive governance models, and highlight the transformative power of ethical engagement. This journey underscores the vital role of resilience and concludes with a global call to embrace ethical approaches for inclusive community development and a sustainable future.

Following the surge of documents laying out organizations' ethical principles for their use of artificial intelligence (AI), there is a growing demand for translating ethical principles to practice through AI governance (AIG). AIG has emerged as a rapidly growing, yet fragmented, research area. This paper synthesizes the organizational AIG literature by outlining research themes and knowledge gaps as well as putting forward future agendas.

The authors undertake a systematic literature review on AIG, addressing the current state of its conceptualization and suggesting future directions for AIG scholarship and practice. The review protocol was developed following recommended guidelines for systematic reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

The results of the authors’ review confirmed the assumption that AIG is an emerging research topic with few explicit definitions. Moreover, the authors’ review identified four themes in the AIG literature: technology, stakeholders and context, regulation and processes. The central knowledge gaps revealed were the limited understanding of AIG implementation, lack of attention to the AIG context, uncertain effectiveness of ethical principles and regulation, and insufficient operationalization of AIG processes. To address these gaps, the authors present four future AIG agendas: technical, stakeholder and contextual, regulatory, and process. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

To address the identified knowledge gaps, the authors present the following working definition of AIG: AI governance is a system of rules, practices and processes employed to ensure an organization's use of AI technologies aligns with its strategies, objectives, and values, complete with legal requirements, ethical principles and the requirements set by stakeholders. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

For society, the authors review elucidates the multitude of stakeholders involved in AI governance activities and complexities related to balancing the needs of different stakeholders.

By delineating the AIG concept and the associated research themes, knowledge gaps and future agendas, the authors review builds a foundation for organizational AIG research, calling for broad contextual investigations and a deep understanding of AIG mechanisms. For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

This paper aims to discuss the ethical aspects of hardware reverse engineering (HRE) and propose an ethical framework for HRE when used to mitigate cyber risks of the digital supply chain of critical infrastructure operators.

A thorough review and analysis of existing relevant literature was performed to establish the current state of knowledge in the field. Ethical frameworks proposed for other areas/disciplines and identified pertinent ethical principles have been used to inform the proposed framework’s development.

The proposed framework provides actionable guidance to security professionals engaged with such activities to support them in assessing whether an HRE project conforms to ethical principles. Recommendations on action needed to complement the framework are also proposed. According to the proposed framework, reverse engineering is neither unethical nor illegal if performed honourably. Collaboration with vendors and suppliers at an industry-wide level is critical for appropriately endorsing the proposed framework.

To the best of the authors’ knowledge, no ethical framework currently guides cybersecurity research, far less of cybersecurity vulnerability research and reverse engineering.

Based on the theory of reasoned action, this study aims to illustrate how employees’ safety behavior can be enhanced in the workplace by specifically examining how anticipated regret leads to workplace safety behavior and the contextual factor of organizational ethical climate.

The authors adopted a quantitative approach and designed their survey from validated scales in prior studies. Data were obtained from two different sources, including 149 employees and 31 immediate supervisors. Hierarchical linear modeling techniques were applied to test the hypotheses.

The results showed that anticipated regret was significantly related to safety compliance and safety participation; egoistic ethical climate was negatively correlated with safety compliance and safety participation, while benevolent ethical climate was only positively correlated with safety participation. For cross-level moderating effects, both benevolent and principle ethical climate moderate the relationship between anticipated regret and safety participation, whereas all three ethical climates did not moderate the relationship between anticipated regret and safety compliance.

It contributes to current literature by identifying critical determinants of employees’ safety behavior, which would enable practitioners to manage safety in the workplace and foster a safe working environment. Specifically, fostering benevolent ethical climate can better promote employees’ perceptions of the importance of discretionary safety behavior.

This study suggests that organizational practitioners could use the salience of anticipated regret to promote the safety behavioral intentions of employees in the workplace. Further, the authors examined a multilevel framework, which elaborates individual- and organizational-level antecedents of employee safety behavior as well as the impact of cross-level interactions on employee safety behavior.

In this chapter, we explore the ethical dilemmas commonly faced in community development projects, providing guidance for practitioners and policy makers. We delve into various challenges, from resource allocation to managing diverse stakeholder needs, using ethical theories and real-world case studies, including examples from the Ecuadorian Amazon Rainforest, Haiti Earthquake relief, and an Indigenous education program in Australia. We emphasize the importance of ethical decision-making, showcasing the potential impacts of choices on communities and individuals. Practical strategies are presented to maintain ethical integrity, such as transparent communication and accountability mechanisms, enabling stakeholders to navigate dilemmas with sensitivity and uphold ethical standards. This chapter serves as a valuable guide for those involved in community development, fostering sustainable and equitable initiatives that empower communities and drive positive transformation.

This study aims to portray the ethical disposition of Islamic financial institutions (IFIs) globally by investigating the ethical gap identified in the empirical literature to date.

Two methods of analysis used in this study are content analysis and ratio analysis. While the former was conducted to identify the main themes of empirical studies and to gauge the gap between theory and practice of ethical principles and business practice in the Islamic banking and financial industry, the latter quantified the intensity of the gap identified.

The findings indicate that global ethical practices were found to be above medial, and the South East Asian region stood out with a relatively better performance along with the subpar performance of the African region. Among the ethical parameters, the praxis of marketing ethics was found to be distinctly aligned with the principles, and the organizational ethical decision-making behaviour was held to be least harmonized with the norms.

The findings of this study help researchers and regulators to better understand the issues and provide practical solutions to address the shortfalls of ethics in Islamic finance in practice.

In spite of the vast literature, comprehension of the overarching ethical standing of IFIs is still equivocal. This study contributes to the growing literature of ethical and/or Islamic finance primarily in two ways. Firstly, it provides a comprehensive depiction of the ethical standings of the IFIs all around the globe, which can be treated as a guiding document for regulators and industry practitioners to better understand the issues and provide practical solutions to address the shortfalls of ethics in Islamic finance in practice. Secondly, it helps researchers identify research gaps and provides a systematic direction for future studies in the area of ethics in Islamic finance.

This study aims to investigate how living lab (LL) activities align with responsible research and innovation (RRI) principles, particularly in artificial intelligence (AI)-driven digital transformation (DT) processes. The study seeks to define a framework termed “responsible living lab” (RLL), emphasizing transparency, stakeholder engagement, ethics and sustainability. This emerging issue paper also proposes several directions for future researchers in the field.

The research methodology involved a literature review complemented by insights from a workshop on defining RLLs. The literature review followed a concept-centric approach, searching key journals and conferences, yielding 32 relevant articles. Backward and forward citation analysis added 19 more articles. The workshop, conducted in the context of UrbanTestbeds.JR and SynAir-G projects, used a reverse brainstorming approach to explore potential ethical and responsible issues in LL activities. In total, 13 experts engaged in collaborative discussions, highlighting insights into AI’s role in promoting RRI within LL activities. The workshop facilitated knowledge sharing and a deeper understanding of RLL, particularly in the context of DT and AI.

This emerging issue paper highlights ethical considerations in LL activities, emphasizing user voluntariness, user interests and unintended participation. AI in DT introduces challenges like bias, transparency and digital divide, necessitating responsible practices. Workshop insights underscore challenges: AI bias, data privacy and transparency; opportunities: inclusive decision-making and efficient innovation. The synthesis defines RLLs as frameworks ensuring transparency, stakeholder engagement, ethical considerations and sustainability in AI-driven DT within LLs. RLLs aim to align DT with ethical values, fostering inclusivity, responsible resource use and human rights protection.

The proposed definition of RLL introduces a framework prioritizing transparency, stakeholder engagement, ethics and sustainability in LL activities, particularly those involving AI for DT. This definition aligns LL practices with RRI, addressing ethical implications of AI. The value of RLL lies in promoting inclusive and sustainable innovation, prioritizing stakeholder needs, fostering collaboration and ensuring environmental and social responsibility throughout LL activities. This concept serves as a foundational step toward a more responsible and sustainable LL approach in the era of AI-driven technologies.