http://dx.doi.org/10.14261/postit/EF4989E2-2F5F-4E6B-B91D7CFEBE91755DIn 2015 and 2016, Saxion University of Applied Sciences organized the 2nd and 3rd edition of the Regional Innovation and Entrepreneurship Conference (RIEC).This paper is debating the regional implications of Corporate Social Responsibility in three important global economic regions. After an introduction of the concept of Corporate Social Responsibility, some characteristic of each region is presented. Also some good examples are given. In the conclusion it is emphasized that the application of Corporate Social Responsibility can advance both, the international position of Russian Businesses and the attractiveness for high talented experts.
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When corporate social responsibility (CSR) as a sensemaking process is assessed from a corporate governance perspective, this implies that stakeholders do not only influence companies by promoting and enforcing regulations and other corporate guidelines. They also influence companies by promoting regulation on influence pathways, by demanding that companies develop formal mechanisms that allow companies and stakeholders to discuss and in some cases agree on changes to principles and policies. This perspective suggests that regulation is an outcome of power relations and is, as such, a reflection of certain mental models. As such, mental models reveal the political bias in corporate governance perspectives. For this reason, CSR research needs to be clear about the underlying assumptions about corporate governance, and corporate governance research needs to disclose which mental models of CSR influence the outcomes. Taking a governance perspective on the development of mental models of CSR helps to understand the interaction between CSR and processes of sensemaking at the institutional, organizational and individual levels.
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.
