The article addresses issues at the nexus of physician industrial action, moral agency, and responsibility. There are situations in which we find ourselves best placed to offer aid to those who may be in vulnerable positions, a behavior that is consistent with our everyday moral intuitions. In both our interpersonal relationships and social life, we make frequent judgments about whether to praise or blame someone for their actions when we determine that they should have acted to help a vulnerable person. (...) While the average person is unlikely to confront these kinds of situations often, those in the medical professions, physicians especially, may confront these and similar situations regularly. Therefore, when physicians withhold their services for whatever reason in support of industrial action, it raises issues of moral responsibility to patients who may be in a vulnerable position. Using theories of moral responsibility, vulnerability, and ethics, this paper explores the moral implications of physician industrial action. We explore issues of vulnerability of patients, as well as the moral responsibility and moral agency of doctors to patients. Determining when a person is vulnerable, and when an individual becomes a moral agent, worthy of praise or blame for an act or non-action, is at the core of the framework. Notwithstanding the right of physicians to act in their self-interest, we argue that vulnerability leads to moral obligations, that physicians are moral agents, and the imperatives of their obligations to patients clear, even if limited by certain conditions. We suggest that both doctors and governments have a collective responsibility to prevent harm to patients and present the theoretical and practical implications of the paper. (shrink)

Social entrepreneurship is not just an objective description of a phenomenon; it also carries a positive normative connotation. However, the academic discourse barely reflects social entrepreneurship’s inherent normativity and often grounds it implicitly on the mission of a social enterprise. In this paper, we argue critically that it is insufficient to ground social entrepreneurship’s inherent normativity on a social mission. Instead, we will show how such a mission-centric conception of social entrepreneurship, when put into practice, is prone to enhance rather (...) than diminish societal grievances. In order to give social entrepreneurship an explicit and sound ethical grounding, we draw on integrative economic ethics as a frame of reference. From this perspective, social entrepreneurship necessitates adherence to the discourse-ethically reasoned moral principle in order to live up to its inherent normative validity claim of good entrepreneurship. The consideration of social entrepreneurship practices is crucial to make this approach less vulnerable to ethical critique. The addition of a practice dimension overcomes the mission-centric view of social entrepreneurship and opens up a typology of enterprise forms, thereby enabling a more fine-grained distinction between social enterprises and other forms of organization. (shrink)

Artificial intelligence-driven technology increasingly shapes work practices and, accordingly, employees’ opportunities for meaningful work (MW). In our paper, we identify five dimensions of MW: pursuing a purpose, social relationships, exercising skills and self-development, autonomy, self-esteem and recognition. Because MW is an important good, lacking opportunities for MW is a serious disadvantage. Therefore, we need to know to what extent employers have a duty to provide this good to their employees. We hold that employers have a duty of beneficence to design (...) for opportunities for MW when implementing AI-technology in the workplace. We argue that this duty of beneficence is supported by the three major ethical theories, namely, Kantian ethics, consequentialism, and virtue ethics. We defend this duty against two objections, including the view that it is incompatible with the shareholder theory of the firm. We then employ the five dimensions of MW as our analytical lens to investigate how AI-based technological innovation in logistic warehouses has an impact, both positively and negatively, on MW, and illustrate that design for MW is feasible. We further support this practical feasibility with the help of insights from organizational psychology. We end by discussing how AI-based technology has an impact both on meaningful work (often seen as an aspirational goal) and decent work (generally seen as a matter of justice). Accordingly, ethical reflection on meaningful and decent work should become more integrated to do justice to how AI-technology inevitably shapes both simultaneously. (shrink)