Suchergebnisse

Defining luxury in the watch industry: exploring the gestalt of Swiss luxury watches -- Trends and challenges in the Swiss luxury watch industry: insights from an expert survey -- Luxury watches and ethical hubris: a comparative overview of illustrative cases -- Gestalt-switch of luxury products: exploring pitfalls of inconsistent value expressions in conspicuous consumption -- "Some of my customers [...] take off their Rolex prior to a client meeting" luxury display at work and the social (re)construction of the organizational image -- The transitory Janus-face of surveillance: studying blockchain-based product identifiers in the Swiss luxury watch industry -- Censored and sensored luxury: a new theory, combining retouching of public luxury display and digital product identifiers -- Future outlook: how cutting-edge technologies and new consumer generations reshape the luxury environment.

This book offers new transdisciplinary perspectives on luxury, exploring the topical phenomenon of digitally retouched (censored) and blockchain-secured (sensored) luxury watches and outlining implications that emerge for the field of luxury studies and managerial practice.

Based on a cross-disciplinary approach, the book integrates theoretical and empirical perspectives to advance the readers' understanding of luxury. With a particular focus on the Swiss luxury watch context, the book thereby draws on qualitative, quantitative, and archival data to shed new light on recent luxury trends, integrating literature on aesthetics of labour, conspicuous consumption, Gestalt theory, ethical theory, functional theories of attitudes, and surveillance studies. Eight chapters take the readers through a range of topical challenges arising with the display and changing moral perceptions of luxury and shifts that the luxury watch sector is facing in light of the digital transformation impacting luxury goods and the luxury management environment.

This unique book will be of value for academics, scholars, and upper-level students across management studies with a particular interest in the luxury and fashion industries, luxury management, brand management, business ethics, and digital transformation.

With a foreword by Thomaï Serdari, Leonard N. Stern School of Business, New York University.

AbstractThis paper proposes to generate awareness for developing Artificial intelligence (AI) ethics by transferring knowledge from other fields of applied ethics, particularly from business ethics, stressing the role of organizations and processes of institutionalization. With the rapid development of AI systems in recent years, a new and thriving discourse on AI ethics has (re-)emerged, dealing primarily with ethical concepts, theories, and application contexts. We argue that business ethics insights may generate positive knowledge spillovers for AI ethics, given that debates on ethical and social responsibilities have been adopted as voluntary or mandatory regulations for organizations in both national and transnational contexts. Thus, business ethics may transfer knowledge from five core topics and concepts researched and institutionalized to AI ethics: (1) stakeholder management, (2) standardized reporting, (3) corporate governance and regulation, (4) curriculum accreditation, and as a unified topic (5) AI ethics washing derived from greenwashing. In outlining each of these five knowledge bridges, we illustrate current challenges in AI ethics and potential insights from business ethics that may advance the current debate. At the same time, we hold that business ethics can learn from AI ethics in catching up with the digital transformation, allowing for cross-fertilization between the two fields. Future debates in both disciplines of applied ethics may benefit from dialog and cross-fertilization, meant to strengthen the ethical depth and prevent ethics washing or, even worse, ethics bashing.

AbstractThe term "ethicswashing" was recently coined to describe the phenomenon of instrumentalising ethics by misleading communication, creating the impression of ethical Artificial Intelligence (AI), while no substantive ethical theory, argument, or application is in place or ethicists involved. Ethicswashing resembles greenwashing for environmental issues and has become an issue – particularly since 2019 with Thomas Metzinger's harsh criticisms as a member of the EU panel for developing ethical guidelines for AI, which he called "ethicswashing." Nowadays, increased ethics washing has changed the perception of AI ethics, leading critics to find a "trivialization" of ethics that may even lead to "ethics bashing." Considering the scattered literature body and the various manifestations of digital ethicswashing, we recognise the need to assess the existing literature comprehensively. To fill this gap, this research systematically reviews current knowledge about digital ethicswashing stemming from various academic disciplines, contributing to an up-to-date assessment of its underlying characteristics. Applying content analysis to map the field leads us to present five thematic clusters: ethicswashing, ethics bashing, policymaking and regulation, watchdogs, and academia. In conclusion, we synthesise ethicswashing along a process-perception-outcome framework to provide future research to explore the multiple meanings of digital ethicswashing.