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The primary objective of this study is to investigate the ethical implications of deploying AI-enabled chatbots in the healthcare sector. In addition, the research underscores trust and reliability as critical factors in addressing the ethical challenges associated with these chatbots.

This study takes a qualitative approach, conducting 13 semi-structured interviews with a diverse range of participants, including patients, healthcare professionals, academic researchers, ethicists, and legal experts. This broad spectrum of perspectives ensures a comprehensive understanding of the ethical implications of AI-enabled chatbots in healthcare. The rich exploratory data gathered from these interviews is then analysed using thematic analysis.

The findings of this study are highly significant in the context of AI-enabled healthcare chatbots. They highlight four major themes: developing trust, ensuring reliability, ethical considerations, and potential ethical implications. The interconnectedness of these themes forms a coherent narrative, highlighting the pivotal role of trust and reliability in mitigating ethical issues.

This study contributes to the existing literature on AI-enabled healthcare chatbots. It not only reveals potential ethical concerns associated with these technologies, such as data security, patient privacy, bias, and accountability, but it also places a significant emphasis on trust and reliability as critical elements that can boost user confidence and engagement in using AI-enabled chatbots for healthcare advice.

This paper seeks to deepen and improve our understanding of business ethics in services by developing a typology that reconciles and integrates disparate and often conflicting ideas and viewpoints while providing practical guidance for ethical decision-making.

The paper examines current theoretical approaches in ethics to provide an understanding of the ethical theories, how they have been applied and how they have evolved in businesses and marketing. It discusses conceptual issues related to ethical dilemmas and the available typologies.

Based on the axioms of the Triple-A Framework for Ethical Service Research, the Typology of Ethical Dilemmas in Services (TEDS) is proposed. The typology identifies three types of dilemmas based on four dimensions considering all service interactions guided by normative ethics (virtue, deontological and consequentialism).

The proposed DILEMMAS process illustrates the practical application of TEDS.

This paper extends the ethics and services literature by offering a novel theoretical and practical approach to addressing ethical dilemmas. TEDS is authentic, advances our knowledge and applies to all service organizations that aim to manage ethical dilemmas effectively.

In the information and technology age, where the “physical” world is merged with the “digital” world, the nature of social conditions, relations, citizenship and the flow of information has shifted from a moral and legal approach to a digital approach. Nowadays, the functioning, dissemination, conduct and governance of organisations and their members are regulated by techno-ethical and digital principles. Drawing on social cognitive theory, the study hypothesises that techno-ethical orientation predicts corporate ethical values (CEV) through the moderation of digital citizenship behaviour (DC). The study further proposes that each dimension of DC: online respect (OR) and online civic engagement (OCE), moderates the hypothesised relationship.

546 respondents from India participated in the study. The responses were captured using structured and well-established questionnaires. The analysis was performed using robust measures of correlation, regression, reliability (Cronbach’s alpha and composite reliability) and validity (convergent and discriminant validity). The moderation influence of DC was tested and analysed using structural equation modelling (SEM) Analysis of Moment Structures (AMOS).

The regression findings of the study revealed that the techno-ethical orientation positively predicts the CEV. R-square values showed a 24.1% variation in corporate ethical value was explained by techno-ethical orientation. It indicates that a positive techno-ethical orientation establishes the ethical context and corporate values. Besides, the moderation analysis using SEM AMOS indicates that at both low and high levels of OR and OCE, the relationship between techno-ethical orientation and CEV is positive and significant.

This study demonstrates a new facet of technology ethics that promotes the institutionalisation of CEV through DC. This study is the first to explore the interaction between techno-ethical orientation and CEV. Even though various former factors concerning ethical conduct have been examined, the results of the techno-ethical conduct of employees within the scope of an organisation have not been explored so far.

This study aims to examine how ethical leadership enhances the relationship between employee ethical behaviour and the job performance of employees in state-owned enterprises (SOEs).

This study was a survey, with data collected using a structured questionnaire. The study focused on employees from SOEs in Ghana. The sample covers 238 employees drawn from 10 SOEs. Data was analyzed using structural equation modelling.

The study concludes that employee ethical behaviour positively influenced the job performance of employees of SOEs in Ghana. The effect of ethical leadership on employee job performance was positively significant. Finally, ethical leadership positively moderated the effect of employee ethical behaviour on the job performance of employees of SOEs.

Future research should look at identifying the specific behaviours of ethical employees that influence improved job performance. Also, future research could conduct a comparative study of private-owned enterprises and SOEs.

Attention should also be paid to ethical leadership, as it strongly enhanced both employee job performance and the quality of employee ethical behaviour required for increased job performance of employees.

Extant studies have paid limited attention to understanding how the interaction between employee ethical behaviour and ethical leadership will enhance employee job performance.

This study examines the existing literature on generative artificial intelligence (Gen AI) and its impact across many sectors. This analysis explores the potential, applications, and challenges of Gen AI in driving innovation and creativity and generating ideas.

The study adopts a comprehensive literature review approach, carefully assessing current scientific articles on Gen AI published from 2022 to 2024. The analysis examines trends and insights derived from research.

The review indicates that Gen AI has significant potential to augment human creativity and innovation processes as a collaborative partner. However, it is imperative to prioritize responsible development and ethical frameworks in order to effectively tackle biases, privacy concerns, and other challenges. Gen AI is significantly transforming business models, processes, and value propositions in several industries, but with varying degrees of effect. Findings indicate also that despite the theory-driven approach to investigating Gen AI's creative and innovative potential, cutting-edge applications research prioritizes examining the possibilities of Gen AI models.

Although this review offers a picture of great possibilities, it concurrently underlines the necessity for a deep knowledge of Gen AI nuances to fully harness its capabilities. The findings indicate that continuous research and exploration efforts are required to address the challenges of Gen AI and assure its responsible and ethical implementation. Therefore, more study is needed on enhancing human-AI collaboration and defining ethical norms for varied circumstances.

This study presents a relevant analysis of Gen AI's transformational potential as an innovation catalyst. It emphasizes major potential, applications across industries, and ethical issues for responsible integration.

Current knowledge and research on students’ utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students’ engagement with these tools.

This research used survey-based research to investigate generative AI literacy (utilization, interaction, evaluation of output and ethics) among students enrolled in a four-year public university in the southeastern USA. This article focuses on the respondents who have used generative AI (218; 47.2%).

Most respondents used generative AI to generate ideas for papers, projects or assignments, and they also used AI to assist with their original ideas. Despite their use of AI assistance, most students were critical of generative AI output, and this mindset was reflected in their reported interactions with ChatGPT. Respondents expressed a need for explicit guidance from course syllabi and university policies regarding generative AI’s ethical and appropriate use.

Literature related to generative AI use in higher education specific to ChatGPT is predominantly from educators’ viewpoints. This study provides empirical evidence about how university students report using generative AI in the context of generative AI literacy.

The study aims to forecast emotional artificial intelligence’s (EAI) trajectory in libraries, provide actionable implementation recommendations and outline potential research paths. It seeks to establish ethical benchmarks, considering emotional well-being alongside informational needs. Understanding EAI in libraries becomes pivotal, envisioning libraries as empathetic, user-centric spaces.

This research uses a multifaceted approach, intertwining comprehensive literature analysis, illustrative case studies and forward-thinking assessments. It combines foundational knowledge from various academic sources, integrating real-world examples of EAI implementations in library settings. The methodology goes beyond observational analysis, scrutinizing ethical quandaries and societal impacts. It comprehensively explains EAI’s role while delineating guidelines for responsible integration and future exploration.

Integrating emotional intelligence (EI) enhances resource curation, fosters inclusive virtual learning environments and elevates continuous service enhancement in libraries. It allows tailored recommendations, emotionally perceptive virtual assistants and adaptive responses to diverse emotional needs, reshaping libraries into empathetic spaces.

Ethical considerations pose significant challenges, especially regarding privacy, security and fair usage of EAI. Libraries must mitigate biases and ensure equitable emotional services. Adapting to diverse emotional needs within library services requires a delicate balance between empathetic approaches and upholding ethical standards.

EAI revolutionizes user experiences, offering personalized, engaging interactions while ensuring ethical, inclusive library environments. Implementing EAI requires navigating biases and ethical complexities, demanding continuous refinement and using user-focused strategies.

Integrating EAI redefines the library’s role, transforming libraries into emotionally perceptive hubs catering to users’ intellectual and emotional needs. It emphasizes fairness, trust and ethical conduct in providing empathetic, inclusive services.

This research pioneers the integration of EI in libraries, offering insights into ethical frameworks, bias mitigation and user-centric approaches. It envisions libraries as empathetic, responsive spaces, enriching lives through emotional understanding and responsiveness.

This paper aims to propose a multilevel framework of fashion consumer ethics that unpacks how ethical consumers publicly express their identity through sustainable fashion (SF). The author explores SF’s cognitive, relational and contextual dynamics, highlighting how attitude–behavior (A-B) gaps might impede consumers’ ethical identity and social image alignment.

The framework theoretically reconstructs fashion consumer ethics by integrating social intuitionism, social representation theory and the public sphere. This theorizing process sheds light on fragmented attempts found in previous research to understand how ethical consumers express their self-identity and socially represent their image through SF, avoiding A-B gaps.

The theoretical propositions suggest how ethical consumers’ self-concept is expressed at the cognitive level, leading to ethical commitment toward self-associated fashion brands; social image is manifested at the relational level, giving rise to consumers’ ethical engagement in SF; and ethical consumers’ self-verify their identity-image alignment in the public sphere, thus addressing A-B issues.

The sociopsychological approach suggests a novel understanding of ethical consumers’ individual and social representation through SF consumption. The framework interprets SF as an “aesthetic of existence,” co-constructed collectively and symbolically expressed publicly. As a result, the proposed model combines different theories to introduce new causal mechanisms and constructs of ethical consumers’ cognition, sociological relations and public spheres.

The present study seeks to examine the impact of ethical leadership on employees’ voice behavior and internal whistleblowing in organizations. Specifically, the study investigates the mediating role of moral emotions in the link between ethical leadership and employees’ reporting behaviors such as voice behavior and internal whistleblowing.

This research utilized a sample of 200 employees from various private companies in Pakistan, gathering data via questionnaires to validate the hypotheses. We employed Structural Equation Modeling (SEM) to evaluate the model and conducted a mediation analysis using 5,000 bootstrap samples.

This research found that ethical leadership positively impacts employees' moral emotions, encouraging them to voice concerns and report misdeeds. Additionally, the study affirms a direct and positive connection between ethical leadership and employees' reporting behaviors, including voice behavior and internal whistleblowing.

The findings of the study emphasized the development of ethical leadership in organizations by highlighting the critical role of ethical leadership in enhancing moral emotions, voice behavior, and whistleblowing in organizations. It highlights the necessity of promoting moral behavior to enhance organizational effectiveness and the need for ethical leaders to foster an open environment in organizations that encourages whistle bellowing and reporting of unethical practices in organizations.

The current paper extends knowledge of ethical leadership based on the social cognitive theory of morality by considering that moral emotions serve as a strong motivational cognition between ethical leadership and reporting behaviors. Particularly, by examining the mediating role of moral emotion, this study provides a deeper understanding of the underlying mechanism through which ethical leadership influences reporting behaviors of employees at workplace.