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The rise of fast fashion has changed the face of global fashion. Despite sector growth, critics have questioned the level of obsolescence, encouragement of over-consumption and fast fashion's unsustainable business practices. Specifically, mounting concerns surround the impact on environmental, worker and animal welfare. Accordingly, the aim of this current work is to understand the influence of consumer's values on ethical consumption in a fast-fashion context.

An online survey was designed to collect responses relating to personal values and ethical concerns towards animal and worker welfare issues, as well as environmental concerns. A total of 350 US-based fast-fashion consumers completed the survey via Amazon MTurk. Factor analyses and structural equation modelling were used to analyse and test a theoretically hypothesised model.

This study found that self-transcendence values and openness to change values have a positive impact on consumers' levels of ethical concern towards animal welfare, the environment and worker welfare concerns within the fashion industry. Furthermore, a consumer's level of concern towards animal welfare and the environment positively influences a consumer's likeliness to purchase ethically marketed fast fashion.

This is the first study to investigate the role of consumer values and their influence on ethical concerns within the fashion industry and the impact of these concerns on intentions to purchase ethically marketed fast fashion. Responding to calls for further research into ethical consumption of apparel, this study includes all elements of ethical consumption identified, including animal welfare. This study identifies ethical areas of concern salient amongst fast-fashion consumers and provides a deeper understanding of the values impacting the level of ethical concerns surrounding animal welfare, the environment and worker welfare.

The purpose of this paper is to explore ethical consumers' brand avoidance. The study contributes to brand-avoidance research by exploring what role consumers' ethical concerns play in their brand avoidance.

A qualitative approach is adopted by interviewing 15 active members of organizations that represent ethical concerns for the well-being of animals, the environment and humans.

The study indicates that consumers with a strong value-based perspective on consumption (such as ethical consumers) may reject brands in two different but interrelated ways. In essence, the study reveals characteristics of brand avoidance that have not been discussed in earlier research, in terms of two dimensions: persistency (persistent vs temporary) and explicitness (explicit vs latent).

The study shows the importance of considering the phenomenon of brand avoidance, as it may reveal fundamental challenges in the market. These challenges may relate to consumer values that have not been regarded as important or that have been thought of as relating only to a specific group of consumers.

The ethical consumers' views represent new insights into understanding brand avoidance.

Although interest in sustainability within the fashion apparel industry has increased over the last decade, ethical fashion remains a minority trend due to low consumer awareness and consumption behaviour. The aim of the paper is to explore empirically the relationships between general consumer support for ethical fashion, buying intention and willingness to pay, focussing on the effect that consumer concern and knowledge and beliefs have on these variables.

Data were collected from 450 general consumers in Spain, who are not specifically dedicated buyers of fashion apparel goods. Responses were collected with a structured questionnaire that included multi-item scales to measure all the variables of the causal model. After corroborating the reliability and validity of the measurement scales with confirmatory factor analysis (CFA), 11 research hypotheses were explored using a structural equation modelling (SEM) approach.

The findings demonstrate that whilst beliefs are not predictors of consumer support for either social or environmental issues, concern and knowledge are antecedents of consumer social and environmental support, which determine general support for ethical fashion, intention to buy and willingness to pay. Consumer social support has a slightly higher impact on consumer support for ethical fashion, intention to buy and willingness to pay than environmental support.

The purpose of the paper is to contribute to the literature by empirically comparing general consumer perceptions, attitudes and behaviours towards the social and environmental dimensions of ethical fashion. In doing so, the authors aim at shedding light on the complex concept of ethical fashion and how general consumers understand it. The findings suggest that promoting educational marketing especially focussed on environmental issues is necessary to raise consumer awareness, knowledge and ethical consumption.

The purpose of this paper is to explore ethical consumers' brand avoidance. The study contributes to brand-avoidance research by exploring what role consumers' ethical concerns play in their brand avoidance.

A qualitative approach is adopted by interviewing 15 active members of organizations that represent ethical concerns for the well-being of animals, the environment and humans.

The study indicates that consumers with a strong value-based perspective on consumption (such as ethical consumers) may reject brands in two different but interrelated ways. In essence, the study reveals characteristics of brand avoidance that have not been discussed in earlier research, in terms of two dimensions: persistency (persistent vs temporary) and explicitness (explicit vs latent).

The study shows the importance of considering the phenomenon of brand avoidance, as it may reveal fundamental challenges in the market. These challenges may relate to consumer values that have not been regarded as important or that have been thought of as relating only to a specific group of consumers.

The ethical consumers' views represent new insights into understanding brand avoidance.

A collection of essays by a social economist seeking to balance economics as a science of means with the values deemed necessary to man′s finding the good life and society enduring as a civilized instrumentality. Looks for authority to great men of the past and to today′s moral philosopher: man is an ethical animal. The 13 essays are: 1. Evolutionary Economics: The End of It All? which challenges the view that Darwinism destroyed belief in a universe of purpose and design; 2. Schmoller′s Political Economy: Its Psychic, Moral and Legal Foundations, which centres on the belief that time‐honoured ethical values prevail in an economy formed by ties of common sentiment, ideas, customs and laws; 3. Adam Smith by Gustav von Schmoller – Schmoller rejects Smith′s natural law and sees him as simply spreading the message of Calvinism; 4. Pierre‐Joseph Proudhon, Socialist – Karl Marx, Communist: A Comparison; 5. Marxism and the Instauration of Man, which raises the question for Marx: is the flowering of the new man in Communist society the ultimate end to the dialectical movement of history?; 6. Ethical Progress and Economic Growth in Western Civilization; 7. Ethical Principles in American Society: An Appraisal; 8. The Ugent Need for a Consensus on Moral Values, which focuses on the real dangers inherent in there being no consensus on moral values; 9. Human Resources and the Good Society – man is not to be treated as an economic resource; man′s moral and material wellbeing is the goal; 10. The Social Economist on the Modern Dilemma: Ethical Dwarfs and Nuclear Giants, which argues that it is imperative to distinguish good from evil and to act accordingly: existentialism, situation ethics and evolutionary ethics savour of nihilism; 11. Ethical Principles: The Economist′s Quandary, which is the difficulty of balancing the claims of disinterested science and of the urge to better the human condition; 12. The Role of Government in the Advancement of Cultural Values, which discusses censorship and the funding of art against the background of the US Helms Amendment; 13. Man at the Crossroads draws earlier themes together; the author makes the case for rejecting determinism and the “operant conditioning” of the Skinner school in favour of the moral progress of autonomous man through adherence to traditional ethical values.

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.

Algorithms are in the mainstream media news on an almost daily basis. Their context is invariably artificial intelligence (AI) and machine learning decision-making. In media articles, algorithms are described as powerful, autonomous actors that have a capability of producing actions that have consequences. Despite a tendency for deification, the prevailing critique of algorithms focuses on ethical concerns raised by decisions resulting from algorithmic processing. However, the purpose of this paper is to propose that the ethical concerns discussed are limited in scope and suggest that it is not clear what concerns dominate the debate.

The paper uses a systematic mapping study approach to review articles appearing in leading UK national papers from the perspective of the ethical concerns over a period of one year. The articles are categorised using a widely cited framework detailing a taxonomy of ethical concerns. The UK context is important because of UK public policy initiatives around AI.

The research presented in this paper contributes the first systematic mapping study of articles appearing in leading UK national papers from the perspective of widely accepted ethical concerns such as inscrutable evidence, misguided evidence, unfair outcomes and transformative effects.

The research presented in this paper contributes the first systematic mapping study of articles appearing in leading UK national papers from the perspective of the ethical concerns. The UK context is important because of UK public policy initiatives around AI. To review the media content from the perspective of ethical concerns, this paper uses the synthesised conceptual map of ethical concerns developed by Mittelstad et al. Given the dominance of that framework, this paper’s contribution is also an important instantiation and experimental validation of using that conceptual map.

Deepfake information poses more ethical risks than traditional disinformation in terms of fraud, slander, rumors and other malicious uses. However, owing to its high entertainment value, deepfake information with ethical risks has become popular. This study aims to understand the role of ethics and entertainment in the acceptance and regulation of deepfake information.

Mixed methods were used to qualitatively identify ethical concerns and quantitatively evaluate the influence of ethical concerns and perceived enjoyment on the ethical acceptability and social acceptance of deepfake information.

The authors confirmed that informed consent, privacy protection, traceability and non-deception had a significantly positive impact on ethical acceptability and indirectly influenced social acceptance, with privacy protection being the most sensitive. Perceived enjoyment impacts the social acceptance of deepfake information and significantly weakens the effect of ethical acceptability on social acceptance.

The ethical concerns affecting acceptance behavior identified in this study provide an entry point for the ethical regulation of deepfake information. The weakening effect of perceived enjoyment on ethics serves as a wake-up call for regulators to guard against pan-entertainment deepfake information.

This study aims to investigate consumer choice motives for purchasing organic coffee by applying the Theory of Planned Behavior (TPB) approach and how those are influenced by different degrees of ethical concern and price sensitivity to gain a better understanding about consumer behavior related to the rapidly growing demand for this unique product.

Data were collected from consumers at cafés (n = 482) located in seven metropolitan cities in South Korea using a self-administered questionnaire. Data were analyzed using descriptive statistics, confirmatory factor analysis and structural equation modeling.

Results documented that health and environmental protection were predictors of purchase attitude and subjective norm. Environmental protection was found to be a predictor of perceived behavioral control. TPB antecedents were significantly related to purchase intention. Ethical concern and price sensitivity documented the significant moderating roles upon organic coffee purchasing behavior.

Findings further contribute to a better understanding about influential choice motives regarding organic coffee and their effect upon consumer purchase behavior.

Findings assist in understanding the roles ethical concerns and price sensitivity play upon consumer behavior issues specific to purchasing organic coffee. New research findings assist with marketing and promoting the social benefits associated with organic coffee while also offering pricing strategies for café and restaurant businesses to optimize their organic coffee sales revenue potential.

This study is one of the first to clarify consumer motives for purchasing organic coffee, and to ascertain whether consumer purchase attitudes and intentions regarding organic coffee are influenced by different degrees of ethical concern and price sensitivity.

Artificial intelligence (AI) has sparked interest in various areas, including marketing. However, this exhilaration is being tempered by growing concerns about the moral and legal implications of using AI in marketing. Although previous research has revealed various ethical and legal issues, such as algorithmic discrimination and data privacy, there are no definitive answers. This paper aims to fill this gap by investigating AI’s ethical and legal concerns in marketing and suggesting feasible solutions.

The paper synthesises information from academic articles, industry reports, case studies and legal documents through a thematic literature review. A qualitative analysis approach categorises and interprets ethical and legal challenges and proposes potential solutions.

The findings of this paper raise concerns about ethical and legal challenges related to AI in the marketing area. Ethical concerns related to discrimination, bias, manipulation, job displacement, absence of social interaction, cybersecurity, unintended consequences, environmental impact, privacy and legal issues such as consumer security, responsibility, liability, brand protection, competition law, agreements, data protection, consumer protection and intellectual property rights are discussed in the paper, and their potential solutions are discussed.

Notwithstanding the interesting insights gathered from this investigation of the ethical and legal consequences of AI in marketing, it is important to recognise the limits of this research. Initially, the focus of this study is confined to a review of the most important ethical and legal issues pertaining to AI in marketing. Additional possible repercussions, such as those associated with intellectual property, contracts and licencing, should be investigated more deeply in future studies. Despite the fact that this study gives various answers and best practices for tackling the stated ethical and legal concerns, the viability and efficacy of these solutions may differ depending on the context and industry. Thus, more research and case studies are required to evaluate the applicability and efficacy of these solutions in other circumstances. This research is mostly based on a literature review and may not represent the experiences or opinions of all stakeholders engaged in AI-powered marketing. Further study might involve interviews or surveys with marketing professionals, customers and other key stakeholders to offer a full knowledge of the practical difficulties and solutions. Because of the rapid speed of technical progress, AI’s ethical and regulatory ramifications in marketing are continually increasing. Consequently, this work should be a springboard for more research and continuing conversations on this subject.

This study’s findings have several practical implications for marketing professionals. Emphasising openness and explainability: Marketing professionals should prioritise transparency in their use of AI, ensuring that customers are fully informed about data collection and utilisation for targeted advertising. By promoting openness and explainability, marketers can foster customer trust and avoid the negative consequences of a lack of transparency. Establishing ethical guidelines: Marketing professionals need to develop ethical rules for the creation and implementation of AI-powered marketing strategies. Adhering to ethical principles ensures compliance with legal norms and aligns with the organisation’s values and ideals. Investing in bias detection tools and privacy-enhancing technology: To mitigate risks associated with AI in marketing, marketers should allocate resources to develop and implement bias detection tools and privacy-enhancing technology. These tools can identify and address biases in AI algorithms, safeguard consumer privacy and extract valuable insights from consumer data.

This study’s social implications emphasise the need for a comprehensive approach to address the ethical and legal challenges of AI in marketing. This includes adopting a responsible innovation framework, promoting ethical leadership, using ethical decision-making frameworks and conducting multidisciplinary research. By incorporating these approaches, marketers can navigate the complexities of AI in marketing responsibly, foster an ethical organisational culture, make informed ethical decisions and develop effective solutions. Such practices promote public trust, ensure equitable distribution of benefits and risk, and mitigate potential negative social consequences associated with AI in marketing.

To the best of the authors’ knowledge, this paper is among the first to explore potential solutions comprehensively. This paper provides a nuanced understanding of the challenges by using a multidisciplinary framework and synthesising various sources. It contributes valuable insights for academia and industry.