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This paper aims to explore the common ethical decision-making challenges faced by financial advisers and how they meet these challenges. The purpose is to identify successful decision-making tools used by investment advisers in doing business ethically. Additionally, the authors uncover common challenges and offer decision-making tools to provide support for supplemental ethics training in the future.

Questions were analyzed through a qualitative approach using individual interviews to examine a range of experiences and attitudes of active financial advisers. The sample was represented by 11 practicing financial advisers affiliated with US independent broker-dealers: six women and five men, each with 10 or more years of experience, ranging in age from 35 to 75. Grounded in four ethical decision-making models, this research examines individual ethical decision-making using individual (internal, personal) and organizational (external, situational) factors.

The method used uncovered struggles and revealed strategies used in making ethical decisions. Two research questions were examined: what are the common ethical decision-making challenges faced by financial advisers in the US financial industry? How do financial advisers handle ethical decision-making challenges? Four themes emerged that impacted ethical decision-making: needs of the individual, needs of others, needs of the firm and needs of the marketplace. Financial advisers identified moral obligation, self-control and consulting with others as major considerations when they contemplate difficult decisions.

A limitation of this review is its small sample size. A more robust sample size from investment advisers with a broader range of experiences could have widened the findings from the study.

Investment advisers can use the findings of this study as a tool for improving their own ethical decision-making or designing training for their employees to be better decision-makers.

The study explores the decision-making experiences of investment advisers to reveal multifaceted, often private struggles that qualitative methods can uncover. The study provides support for the development of additional training in ethical decision-making specific to investment advisers.

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 paper aims to identify predictors that affect business student perceptions on ethical decision-making. This paper also investigates how those predictors impact the decision-making related to ethical matters among Vietnamese business students.

A survey was conducted to collect data for testing the hypotheses. Questionnaires were administered to 500 Vietnamese business students from four public and private universities. The independent t-test was applied to the usable sample to analyze and derive relationships.

The empirical results showed that idealism and relativism significantly predict the perception of ethical decision-making. Idealism and relativism were found to influence high ethical decision-making significantly.

The study contributes to the literature on ethical decision-making in a transitional economy. New findings and insights from the research serve as a foundation for future research with ethics and decision-making topics. The results offer some insights to business schools in improving their ethical teaching courses and to businesses in their recruitment.

To the best of the authors' knowledge, this is the first study that aims to present a comprehensive view of the auditing ethics literature by unboxing 40 years of efforts in the field.

This study combined bibliometric, social network and content analysis by analyzing 114 articles published in accounting and top business ethics journals on the Web of Science database from 1980 to 2021.

The results show a rising interest in this topic and reveal auditors’ ethical decision-making and moral reasoning as the most discussed topics in the literature. The work also clusters the literature according to keywords and scopes, identifying literature gaps and suggesting new avenues for future research.

The research results assist provide an overarching image of the auditing ethics field. In addition, these results draw possible future avenues to bridge the void in the current auditing ethics literature by presenting indispensable directions for potential research. For example, future research could pay more attention to whistleblowing, fraud, personal auditor characteristics, auditor ethical sensitivity, auditor ethical conflict, ethical climate and underreporting of time. Moreover, the rapidly changing business environment necessitates the auditing ethics research to move to more practical implications to mitigate previous mistakes and avoid any future risks.

All crises are an ideal breeding ground to motivate fraud and audit failures. In fact, auditing ethics research has been subordinated to the different economic crises. However, despite increasing awareness of the topic’s relevance, no comprehensive study focuses on auditing ethics literature. Now, the devastating effects of the COVID-19 crisis are producing a new wave of financial distresses and avoiding former mistakes is timelier than ever. With this novel and integrated approach, this work goes one step forward, developing a comprehensive picture of the auditing ethics literature.

The present study aims to examine the relationship between techno-ethical orientation and ethical decision-making (EDM) in Indian supply chain companies during the COVID-19 pandemic. It also aims to explore the moderating role of technological frames (TF) in the relationship between techno-ethical orientation and EDM.

The relationship between techno-ethical orientation and EDM is examined using correlation and regression analysis. The moderating effect of five dimensions of TFs (personal attitude, application value, organisational influence, supervisor influence and industry influence) is analysed using structural equation modelling.

The correlation coefficient between techno-ethical orientation and EDM is 0.513. Also, the regression coefficient (β = 0.213) is significant at 0.05, establishing a positive linkage between the two. R-square values showed a 45.2% variation in EDM is explained by techno-ethical orientation. Similarly, all variables of TFs have a positive and significant moderating effect on the relationship between techno-ethical orientation and EDM.

This is one of the pioneer studies exploring techno-ethical orientation’s impact on EDM in supply chain companies.

This study aims to investigate the effects of attribution of responsibility (AOR) for layoffs on the components of ethical decision-making. Internal, external and no-fault AOR were examined using the model of moral intensity to determine if placement of blame for the layoff influences ethical awareness, judgment and intent.

Surveys were collected from 397 students. The survey provided a scenario about a layoff situation involving an African-American woman and a Caucasian woman. Respondents then answered questions about moral intensity, moral judgment and moral intent concerning the layoff and identified the reasons they believed the layoff occurred. We tested our hypotheses using multiple regression analysis.

Subjects were more likely to make a moral judgment about the situation when layoffs were blamed on the company’s actions (external AOR) and less likely to make a moral judgment when the layoff decision was blamed on employee performance (internal AOR) or on economic factors beyond anyone’s control (no-fault AOR). Results also indicate that layoffs blamed on employee performance negatively moderate the relationship between moral judgment and moral intent.

Previous studies of layoff ethics have not examined the influence of AOR for layoffs using the model of moral intensity. Thus, this paper extends the current understanding of these concepts in ethical decision-making.

This chapter explores the vital connection between ethics and community development, underlining the fundamental role of ethical considerations in shaping fair, just, and sustainable communities. It begins by emphasizing that community development is inherently ethical and delves into the concept of ethics, examining ethical theories like consequentialism, deontology, and virtue ethics in the context of community development. Real-world case studies from diverse countries, such as South Africa, Australia, and India, are interwoven throughout the chapter to provide practical insights. These case studies illustrate the complexities of ethical implementation in community development, from navigating power dynamics to addressing conflicts of interest and balancing immediate needs with long-term sustainability. The chapter also explores macro-level considerations, highlighting the need for systemic change to create a more just and equitable society. It guides practitioners on integrating ethics into their work, establishing a strong moral framework for community development. Continuous learning, reflective practice, and adaptability are underscored as essential in responding to evolving societal contexts, norms, and challenges.

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.

This study aims to analyse the ethical implications associated with the development of artificial intelligence (AI) technologies and to examine the potential ethical ramifications of AI technologies.

This study undertakes a thorough examination of existing academic literature pertaining to the ethical considerations surrounding AI. Additionally, it conducts in-depth interviews with individuals to explore the potential benefits and drawbacks of AI technology operating as autonomous ethical agents. A total of 20 semi-structured interviews were conducted, and the data were transcribed using grounded theory methodology.

The study asserts the importance of fostering an ethical environment in the progress of AI and suggests potential avenues for further investigation in the field of AI ethics. The study finds privacy and security, bias and fairness, trust and reliability, transparency and human–AI interactions as major ethical concerns.

The implications of the study are far-reaching and span across various domains, including policy development, design of AI systems, establishment of trust, education and training, public awareness and further research. Notwithstanding the potential biases inherent in purposive sampling, the constantly evolving landscape of AI ethics and the challenge of extrapolating findings to all AI applications and contexts, limitations may still manifest.

The novelty of the study is attributed to its comprehensive methodology, which encompasses a wide range of stakeholder perspectives on the ethical implications of AI in the corporate sector. The ultimate goal is to promote the development of AI systems that exhibit responsibility, transparency and accountability.