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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.

The purpose of this study is to determine the effect of two types of negative ties, namely perceived negative ties and intended negative ties, on the two types of employee work outcomes, namely job performance and ethical voice. In addition, the chapter discusses the role of personal reputation as a mediator in explaining the relationship between negative ties and work outcomes. The study sample comprised of 103 blue-collar workers and their direct supervisors in a large cement factory in southern Iraq. The study used survey method as a mean to collect the data. Data analysis showed that perceived negative ties and intended negative ties influence participants’ job performance and ethical voice. The result also indicates that personal reputation mediates the relationship between negative ties and work outcomes. In light of the results, theoretical and practical implications are presented.

This study aims to study the impact of corporate governance (CG) versus ethical investment on the firm performance. It takes into account the firms of Bangladesh, India, and Pakistan for the purpose of the study. A composite variable of CG index and environmental, social, and governance (ESG) index is used to test the impact on the firm performance. Separate country wise and overall analysis is obtained. Regression analysis is used to obtain the results. Two measures of performance are used, one is return on assets (ROA) and other is Tobin Q. The findings of the study reveal that there is an impact of corporate governance index (CGI) on firm performance (overall and country wise) whereas ethical investment (EI) has an impact on firm performance when tested overall and no impact when checked for country wise results. The results further show that on country level, increase in CG measures may lead to positive results, but at the macro level, it may lower the performance. On the other hand, at the micro level, ethical finance may not show its impact; however, at the macro level, it has an impact. The study has implications for the investors and policymakers.

Smart scenarios related to industries or cities, characterized by intensive technology transfer and use of innovative and disruptive technologies, have been in the spotlight either on academic or organizational discussions, especially those with a technocentric focus. Among these technologies, artificial intelligence (AI) emerges as the most challenging one due to its complexity. Therefore, this chapter aims to address AI, in particular the future of the labor market, exploring the challenges regarding the skills required in the context of AI technology, addressing its uses, challenges, and benefits. In order to achieve this goal, a systematic review was conducted on the extant literature using the methodology Methodi Ordinatio. The results show that the current literature is gradually changing from a more critical and negative view of AI to a more optimistic one, with more positive approaches and expectations regarding its benefits. As practical implications, the findings can be used as a guide for governments to develop strategies aiming to deal with upcoming challenges, especially regarding future jobs and employability.

This study explores how the national artificial intelligence (AI) strategies and policies in four sub-Saharan African countries – Mauritius, South Africa, Ghana and Gabon – influence the adoption of AI in journalism. In the journalistic world, AI have been mainly used for news gathering, production and distribution. Irrespective of the prospects, the pervasive nature of AI brings with it a host of challenges concerning privacy, gender, and ethnic bias. Despite its relevance to journalism, the challenges associated with using AI necessitate the need for policy frameworks that guide the development and usage of these technologies. At a global level, UNESCO has established a normative framework which lays out principles and standards regarding how member states formulate policies that ensures ethical and healthy development of AI. Using document analysis and the technological determinism theory, the study investigated how the national AI policies and strategies of these countries is impacting journalism and highlights the challenges to the adoption of the technology in the field. In lieu of the AI-specific laws, the countries seem to loosely rely on their data protection acts to govern aspects of AI use involving automated decision making. Mauritius was found to be the only country in the study with a set national AI strategy.

We are long overdue for a conversation about ethical treatment of student researchers. Ethical treatment of research participants has been carefully defined through decades of public conversation, and ethical practices have been institutionalized through mechanisms like mandatory ethics trainings and Institutional Review Boards. Student researchers deserve the same level of consideration. While there are many types of ethical violations of student labor in research projects, there are two that are of particular concern to social movements researchers: use of volunteer labor without clear academic or professional benefits, and failure to ensure the safety of student researchers. The first of these ethical violations is especially common in social movements research because of the emergent nature of protests: new rounds of protests begin and researchers seek to rapidly collect data on a tight timeframe, making grant funding to pay student researchers challenging. The second situation emerges when faculty researchers do not consider the ways students' race, gender identity, or other characteristics, or the nature of the protests themselves might create potential risks for students.

In this paper, I propose using the Belmont Report principles to create guidelines for ethical treatment of student researchers. While these principles were developed for the purposes of protecting research participants, the principles of respect for persons, beneficence, and justice help us to clarify the risks and benefits for student researchers, to find ways to maximize the benefits of student research participation, and to understand and address the inequalities that plague graduate student training.

This chapter aims to examine the impact of whistleblowing policy (WH) on earnings management (EM) in an emerging market, Egypt. Our sample period from 2014 to 2019: the pre-whistleblowing policy period is 2014–2016 and the post-whistleblowing policy period is 2017–2019 with a total of 780 observations and the data are analyzed using ordinary least squares (OLS) regression analysis. Data are collected from annual reports, corporate governance reports, and companies’ website. The empirical analysis shows that whistleblowing policy coefficient is negative and significantly impacts EM in Egyptian firms. The result shows that when the firm adopts a whistleblowing policy, it led to decrease in EM. In addition, we provide strong and robust evidence by the difference-in-difference (DID) method to show that whistleblowing is significantly negatively associated with the extent of EM, which indicates that firms have an effective whistleblowing policy and can have several benefits. Firstly, it can help to identify and prevent illegal or unethical behavior within an organization, which can ultimately save the company from potential legal and reputational damage. Secondly, a whistleblowing policy can empower employees to speak up about any concerns they have, without fear of retaliation, which can help to create a more transparent and ethical work environment. Overall, an effective whistleblowing policy can contribute to the long-term success of a company and the broader economy. The findings of this chapter are relevant to policymakers, governments, management, employees, and shareholders to constraining EM in Egyptian firms.

Purpose: This chapter examines the impact of artificial intelligence (AI) on employability and dispels the misconception that AI negatively affects job opportunities. The study aims to shed light on the ways in which AI can enhance employability by complementing natural intelligence and enabling employees to demonstrate creativity in various aspects of their work.

Need for the study: In the 21st century, AI has become ubiquitous, and governments worldwide are actively promoting its integration into various industries and systems. However, concerns about the potential negative consequences of AI have emerged.

Methodology: It is reviewing commentary secondary sources of data viz. books, articles, journals, newspaper articles, reports which have been considered to bring forth the advent of AI being an important premise for the construct of employability

Findings: The findings of this study reveal that the perceived negative impact of AI on employability is a misconception. AI technology, such as Alexa, ChatGPT, and OpenAI, has made significant advancements in the market but is still unable to pass the Turing test. Consequently, it is recommended that AI companies take a pause to fully understand and address the consequences associated with AI implementation.

Practical implications: The practical implications of this study are twofold. First, it debunks the myth that AI jeopardises employability associated with natural intelligence, highlighting the importance of human skills in conjunction with AI technologies. Second, it calls for a strategic approach for organisations and governments to adapt to AI while ensuring the workforce remains adaptable and equipped with the necessary skills. This study provides insights for policymakers, employers, and individuals to embrace AI to augment human potential and improve global market productivity.