Search results

Introduction: The ethical implications of deoxyribonucleic acid (DNA) profiling or DNA fingerprinting or forensic genetics in criminal investigations have gained significant attention worldwide. In India, DNA profiling in criminal investigations has increased over the years. However, the ethical considerations of DNA profiling in India have yet to be examined adequately.

Purpose: The study aimed to examine the ethical considerations of DNA profiling in India and compare them with international guidelines. By examining the ethical considerations of DNA profiling in India, this study seeks to contribute to the ongoing discourse on the responsible use of DNA profiling in forensic investigations.

Methodology: The study used a qualitative research design, and data were collected by reviewing relevant literature and laws.

Findings: The findings indicate that the Indian legal framework has gaps in addressing the ethical considerations raised by international guidelines, such as the admissibility of DNA evidence in court, oversight of DNA laboratories, safeguards against discrimination, and privacy and confidentiality protections.

The comparative analysis highlights the need for strengthening the legal framework in India, adopting best practices from international guidelines, and incorporating safeguards to protect against discrimination and ensure the privacy and confidentiality of individuals. By adopting these recommendations, India can ensure that DNA profiling is conducted ethically and responsibly, promoting public trust in the criminal justice system and upholding the rights of all individuals.

Scholars have adopted a multiple ethical paradigms approach in an attempt to better understand the bases upon which everyday ethical dilemmas are resolved by educational leaders. The aim of this study is to examine the ethical considerations in ethical judgments of aspiring principals.

To examine the ethical considerations involved in school leadership decision making, a specially designed ethical perspective instrument was developed that draws on the multiple ethical paradigms. This exploratory instrument was pre‐tested for validity and reliability among school principals and students of educational administration. The research sample consisted of 52 participants in principal training programs in Israel.

Negative correlations were found between choices reflecting values of fairness and those reflecting utilitarianism and care. In addition, negative correlations were found between choices reflecting values of community and those reflecting care, critique, and profession. Critique turned out to be the value most widely adopted by educational leaders to solve ethical dilemmas, followed by care and profession.

The common notion in the literature is that the various ethics complement one another. There is, however, little empirical work on ethical judgments of educational practitioners. The importance of this exploratory research is twofold: first, it examines the extent to which multiple ethical considerations can be taken into account simultaneously; and second, it identifies the prevailing values that come into play most often.

Ethical and environmental investment criteria, now known as socially responsible investment (SRI), are increasingly commonplace in the market today. Some investors have specifically set themselves up as ethical investors. Consequently, ethical considerations are a cornerstone of their investment policy. Many of the funding institutions have ethical investment arms, even where these are not their mainstream activity. Understanding the role of ethical investors, and their ethical considerations, within the property market would appear, therefore, to be of increasing importance to the property professions. The activities of funding institutions specifically marketing themselves as ethical and those not so doing are explored, using an in‐depth questionnaire, in order to determine what these environmental criteria are and the way in which they are considered. The results are placed in the context of property and property investment. It is concluded that a knowledge of ethical issues is advantageous for property professionals, especially when advising ethical investor clients.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

This chapter explores the ethical challenges arising from the integration of advanced artificial intelligence (AI) technologies into intelligent manufacturing systems. Machine learning (ML), augmented reality/virtual reality (AR/VR), digital twins, and human–robot collaboration (HRC) redefine industrial production, they bring forth unprecedented efficiencies and capabilities but also introduce complex ethical considerations. The text delves into issues such as data privacy, job displacement, the impact of automation on workforce dynamics, and the psychological effects of working alongside AI-powered systems. Through a detailed examination of these technologies and their implications, the chapter advocates for a dynamic ethical framework that evolves alongside technological advancements. This framework should prioritize human dignity, safety, and rights, involving all stakeholders in its development and implementation. By addressing the ethical implications of AI, AR/VR, digital twins, and HRC, the chapter underscores the necessity of balancing technological innovation with ethical responsibility. It calls for collaborative efforts involving policymakers, industry leaders, workers, and consumers to navigate the ethical landscape of intelligent manufacturing, aiming to harness the potential of these technologies responsibly for the betterment of society and the workforce.

Business process management (BPM), as a pillar of information systems (IS) research, has become more complex with the advent of new technologies, emphasizing the need for moral and ethical perspectives. To foster moral behavior and responsible action, including ethical values in IT systems and processes can be a solid option. By incorporating a socio-technical perspective, we are able to analyze the various aspects of BPM and organizational processes and the incorporated values. We find an overall acknowledgment of the importance of values and ethics in BPM.

This publication explores ethical values within BPM through a systematic literature review (SLR). The study aims to identify the ethical dimensions inherent in BPM and their practical implications in process management and task execution. The methodological approach adopted is a SLR (Boell and Cecez-Kecmanovic, 2015), adapting the PRISMA guidelines (Page et al., 2021) to identify 82 articles from 21 top IS journals suggested by Lowry et al. (2013).

A descriptive framework is developed to explain the use and application of ethical values within business processes. This framework enables practitioners and researchers to categorize and understand the various ethical considerations involved in BPM. It provides a structured approach highlighting the interrelation between process perspectives and ethical values, demonstrating how different BPM approaches may have varying ethical implications. We compare past and future research in business processes, identifying areas for further investigation and theoretical development. A historical analysis of values and literature also helps contextualize contemporary discussions on ethics in BPM, shedding light on the evolution of ethical considerations within this domain.

Our study contributes to a more nuanced understanding of BPM, highlighting the importance of considering ethical values and socio-technical perspectives in designing and implementing business processes. These findings contribute to understanding the values associated with different types of processes and their employment and highlight potential areas for future research. Our study provides ethics-oriented research in IS with novel insights by examining BPM from an ethical value perspective. We contribute to the BPM literature by examining which values are applied in which process types from which perspective. In addition, our research suggestions provide food for thought for both research streams.

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.

Employee performance and job satisfaction are crucial factors that influence organizational success, particularly in the insurance industry. The advent of data-driven approaches has led to the emergence of Employee-Performance Data Management (EPDM) practices, which play a pivotal role in shaping employee outcomes. This study, with its clear focus on the impact of EPDM on job satisfaction within the insurance sector, aims to provide an understanding of this relationship, employing a positivist perspective grounded in existing theories.

The primary objective of this research is to investigate the influence of EPDM variables, such as data integration, technology integration, and ethical considerations, on job satisfaction among employees in the insurance industry.

We adopted a causal-comparative research design. This design allowed us to discern the cause-and-effect relationships among the variables under study. We collected data through structured questionnaires, ensuring a diverse sample of 415 employees across various job roles within the insurance sector. Our analytical framework encompassed multiple regression analysis, f-tests, t-tests, and calculations of means and standard deviations, all of which were used to rigorously assess the data.

Our study's findings have significant implications for the insurance industry. We found that aspects of EPDM variables, including data integration, technology integration, and ethical consideration, have a profound impact on job satisfaction. These results underscore the critical role of effective data management in enhancing employee outcomes. They also highlight the need for insurance companies to invest in robust data management strategies, potentially leading to improved job satisfaction and enhanced organizational performance.

This chapter draws from the authors’ experiences with service-learning pedagogy in allied health training programs, and illustrates ways in which community-engaged teaching and learning can prepare students to become ethical healthcare practitioners. The authors infuse examples from their own courses throughout the chapter, mostly from the clinical fields of speech-language pathology, audiology, and occupational therapy. However, the chapter is applicable and generalizable to faculty from a wide scope of allied health training programs. The chapter introduces considerations for establishing campus–community partnerships in an ethical manner, as well as ways to foster student self-reflection and critical thinking through an ethical lens. Principles from the codes of ethics of various allied health professions are incorporated throughout the chapter along with examples of how each can be applied in community-based clinical experiences. Through a review of relevant literature, analysis of professional codes of ethics, case-based examples, and a step-by-step guide to course development, this chapter provides readers with a mechanism to ground their courses in professional ethics in a way that is relatable and relevant to students.