Correction to: What do we lose when machines take the decisions?

Journal of Management and Governance - In the original publication, the word “lose” has been inadvertently published as “loose”. All occurrences of “loose”...     

How can we ascertain,understand and interpret the performance level of a production system? A visual method: 'The plan of preferences'

The general context of this study is the parameterizing of the production system. The aim is to regulate the physical flow according to objectives, usually expressed in terms of performance indicator values. Performance control requires mastery of the consequences of the choices made. It then becomes essential to be able to articulate the potential effects of the various decisions. The existing approaches to solving this problem all imply the use of means of simulation capable of assessing the value of the performance indicators for each configuration of the action parameters. Taking this assumption as a basis, and focusing on the user, a multiple criteria approach is developed towards the understanding and schematization of the behaviour of a given system. The particularity of this approach lies in combining both data analysis and user expertise. The instrumentation approach uses tools for data analysis and assistance in decision making to achieve an original visualization of the structure of performance levels in a plan, called the plan of preferences .     

Cases of real-life policies related to risk: How can they enhance risk analysis and risk science?

Policies on risk constitute a core topic of risk analysis and risk science, and it is common at risk conferences to present real-life cases of such policies, for example related to the handling of climate change and pandemics. Although these are of broad interest, showing how important issues in society are dealt with, it can be questioned to what extent and how these cases contribute to enhancing risk analysis and risk science. The present paper addresses this concern. It is argued that, in order to learn from the cases, they need in general to be more thoroughly followed up with discussions of concepts, principles, approaches, and methods for assessing, characterizing, communicating and handling risk. Describing a governmental policy on, for example, the handling of COVID-19 is a point of departure for interesting discussions concerning its justification and performance, in particular in relation to risk and the most updated knowledge from the risk analysis field. Such discussions are, however, often lacking. The paper points to some key obstacles and challenges for the learning process, including the difficulty of distinguishing between policies, policy analysis, and politics.     

The COVID‐19 Pandemic: What can we learn from past research in organizations and management?

The ongoing COVID‐19 pandemic is having a profound impact on organizations across the world, as businesses and societies face their greatest challenges for many decades. Over the past 20 years, the International Journal of Management Reviews (IJMR) has published many reviews of research that bring together the key findings across important bodies of research relevant to understanding how organizations might confront grand challenges such as these. Reflecting on this work, we have chosen a number of recent reviews published in the journal which have relevance both for practitioners and scholars in the current crisis. We invited the authors of these papers to offer some comments, which we have drawn from in the discussion below.