Founded in 1947 as Die Unternehmung: Zeitschrift für Betriebswirtschaft und Organisation, the Swiss Journal of Business (SJB) is a peer-reviewed (double-blind), open access business journal. With its concept of combining theoretical standards and practical relevance in high-quality scientific articles, it is one of the leading European journals in the field of business administration. The scope of the journal covers all disciplines of business administration as well as interdisciplinary topics that broaden the horizon of business research and practice. The SJB aims to disseminate new findings in business research, to draw attention to important problems in society, research and business practice, to set research agendas, to present scientifically sound solutions and generally to promote the exchange between science and practice.
The inherent ambivalence of machine learning-based artificial intelligence (AI) technologies makes ensuring their responsible use a pressing concern. While the literature converges on the importance of governance at the organizational level,...
This paper analyses artificial intelligence (AI) through the lens of ordonomics, a normative-institutional approach that connects economic rationality with ethical reflection. While most discussions in AI ethics focus on principles such as fairness,...
In this article, we combine the discourse on the ethical challenges of using Artificial Intelligence (AI) with research perspectives on overarching AI governance. Although AI govenance is not yet institutionalized, an increasing number of...
The rapid adoption of artificial intelligence has intensified debates about responsibility, ethics, and trust. While regulatory frameworks and organizational ethics statements are proliferating, responsible AI is too often treated as compliance or...
So-called “artificial intelligence (AI)” – more adequately referred to as “data-based systems (DS)” – opens ethical downsides and upsides. There is a necessity to identify precisely the ethical opportunities and risks of DS in order to...
The aim of this perspective contribution is to introduce the concept of responsible knowledge management (rKM) and its usefulness for implementing ethically accepted AI solutions in organizations. Illustrative examples are presented to demonstrate...
As artificial intelligence (AI) systems increasingly simulate empathy and engage relationally with users, they begin to influence the affective fabric of organizations. Drawing on insights from information systems research, organizational science,...