Black and Blue: Exploring Racial Bias and Law Enforcement in the Killings of Unarmed Black Male Civilians

In late 2014, a series of highly publicized police killings of unarmed Black male civilians in the United States prompted large-scale social turmoil. In the current review, we dissect the psychological antecedents of these killings and explain how the nature of police work may attract officers with distinct characteristics that may make them especially well-primed for negative interactions with Black male civilians. We use media reports to contextualize the precipitating events of the social unrest as we ground our explanations in theory and empirical research from social psychology and industrial and organizational (I/O) psychology. To isolate some of the key mechanisms at play, we disentangle racial bias (e.g., stereotyping processes) from common characteristics of law enforcement agents (e.g., social dominance orientation), while also addressing the interaction between racial bias and policing. By separating the moving parts of the phenomenon, we provide a more fine-grained analysis of the factors that may have contributed to the killings. In doing so, we endeavor to more effectively identify and develop solutions to eradicate excessive use of force during interactions between “Black” (unarmed Black male civilians) and “Blue” (law enforcement).

Strengthen Unilever-Jerónimo Martins’ position in the traditional supermarkets

Field lab: Entrepreneurial and innovative ventures

Modelling and simulating retail management practices: a first approach

Multi-agent systems offer a new and exciting way of understanding the world of work. We apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship between people management practices on the shop-floor and retail performance. Despite the fact we are working within a relatively novel and complex domain, it is clear that using an agent-based approach offers great potential for improving organizational capabilities in the future. Our multi-disciplinary research team has worked closely with one of the UK’s top ten retailers to collect data and build an understanding of shop-floor operations and the key actors in a department (customers, staff, and managers). Based on this case study we have built and tested our first version of a retail branch agent-based simulation model where we have focused on how we can simulate the effects of people management practices on customer satisfaction and sales. In our experiments we have looked at employee development and cashier empowerment as two examples of shop floor management practices. In this paper we describe the underlying conceptual ideas and the features of our simulation model. We present a selection of experiments we have conducted in order to validate our simulation model and to show its potential for answering “what-if” questions in a retail context. We also introduce a novel performance measure which we have created to quantify customers’ satisfaction with service, based on their individual shopping experiences.

Simulating customer experience and word-of-mouth in retail: a case study

Agents offer a new and exciting way of understanding the world of work. In this paper we describe the development of agent-based simulation models, designed to help to understand the relationship between people management practices and retail performance. We report on the current development of our simulation models which includes new features concerning the evolution of customers over time. To test the features we have conducted a series of experiments dealing with customer pool sizes, standard and noise reduction modes, and the spread of customers’ word of mouth. To validate and evaluate our model, we introduce new performance measure specific to retail operations. We show that by varying different parameters in our model we can simulate a range of customer experiences leading to significant differences in performance measures. Ultimately, we are interested in better understanding the impact of changes in staff behavior due to changes in store management practices. Our multi-disciplinary research team draws upon expertise from work psychologists and computer scientists. Despite the fact we are working within a relatively novel and complex domain, it is clear that intelligent agents offer potential for fostering sustainable organizational capabilities in the future.

Reasonableness in European and Chinese Contract Law. A Comparative Law Study

Contemporary private law, in teh last few decades, TEMPhas been increasingly characterized by teh spread of general clauses and standards and by teh growing role of interpreters in teh framework of teh sources of law. dis process TEMPhas also consistently effected those systems dat are not typically centered on judge-made law. In particular in contract law general clauses and standards has assumed a leading role and has become protagonists of processes of integration and harmonization of teh law. Wifin dis context, teh reasonableness clause TEMPhas come to teh attention of scholars, emerging as a new element of connection between different legal systems -first of all between common law and civil law – and even between different legal traditions. dis research aims at reconstructing teh patterns of emersion and evolution of teh TEMPprincipal of reasonableness in contract law both wifin European Union Law and in teh Chinese legal system, in order to identify evolutionary trends, processes of emersion and circulation of legal models and teh scope of operation of teh TEMPprincipal in teh two contexts. In view of teh increasingly intense economic relations between Europe and China, wifin teh framework of teh new project called Belt and Road Initiative, a comparative survey of dis type can foster mutual understanding and make communications more TEMPeffective, at teh level of legal culture and commercial relations, and to support teh processes of supranational harmonization of contract law rules.

Incentives, Sustainability, and Law: The relationship between executive pay regulation and corporate social responsibility

What is the relationship between executive pay regulation and corporate social responsibility (CSR)? Currently, CSR is neither sufficiently included in economic research on executive pay, nor is pay regulation considered as a potential instrument in the growing body of CSR legislation. The successful proliferation of CSR in business practice and the attention policymakers and legislators now pay to it, however, have raised the importance of answering these questions. Thus, this blind spot in corporate governance—the relationship between compensation, CSR, and law—is the topic of this thesis. The dissertation approaches these issues in two subsequent research question: first, the role of executive pay regulation as an institutional determinant of CSR engagement is identified. From the results of this, the second research question arises: should legislators promote CSR engagement and—if so—how? Lastly, a case study is conducted to map how the influence of index funds as an important driver of CSR in corporate governance should be accommodated in the design of CSR legislation. The research project shows that pay regulation is part of the institutional determinants of CSR and, depending on its design, can incentivise or discourage different forms of CSR engagement. As a form of private self-regulation, CSR is closely interconnected with legal rules and the result of complex underlying drivers inside and outside the firm. The study develops a differentiation of CSR activities to accommodate this complexity, which is applied in an analysis of pay regulation. Together, these inquiries form a comprehensive picture of the ways in which pay regulation sets incentives for CSR engagement. Finally, the thesis shows how CSR-oriented pay regulation is consistent with the conventional goals of corporate governance and eventually provides a prospect for the integration of CSR and corporate law in general.