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The purpose of this paper is to revisit the potential of the New Deal as a research context in management and organization studies and, in doing so, forward the role one of its chief architects, Harry Hopkins, played in managing the economic crisis. The exploration takes us to multiple layers that work together to form context around Hopkins including the Great Depression, the Roosevelt Administration, and ultimately, the New Deal. By raising Harry Hopkins as an exemplar of historical-narrative exclusion, the authors can advance the understanding of his role in the New Deal and how his actions produced early insights about management (e.g. modern crisis management).

The paper experiments with the methodological assemblage of ANTi-History and microhistorical analysis that the authors call “ANTi-Microhistory” to examine the life narrative of Harry Hopkins, his early association with President Franklin D. Roosevelt and later, the New Deal. To accomplish this, the authors undertake a programme of archival research (e.g. the digital repository of The Franklin D. Roosevelt Presidential Library and Museum) and assess various materials (e.g. speeches, biographies and memoirs) from across multiple spaces.

The findings suggest Harry Hopkins to be a much more powerful actor in mobilizing New Deal policies and their effect on early management thought than what was previously accepted. In the process, the authors found that because of durable associations with Roosevelt, key policy architects of the same ilk as Harry Hopkins (e.g. Frances Perkins, Henry Wallace, Lewis Douglas, and others) and their contributions have been marginalized. This finding illustrates the significant potential of little-known historical figures and how they might shed new insight on the development of the field and management practice.

The aim is to demonstrate the potential of engaging historical research in management with the individual – Harry Hopkins – as a unit of analysis. By engaging historical research on the individual – be it well-known or obscure figures of the past – the authors are considering how they contribute to the understanding of phenomena (e.g. New Deal, Progressivism or Keynesian economics). The authors build on research that brings to focus forgotten people, communities and ideas in management studies but go further in advocating for space in the research to consider the scholarly potential of the individual.

Pitching workpieces can significantly reduce the cycle time of industrial robots and extend their workspace. A control method for pitching workpieces by cylindrical coordinate type robots is developed and can be readily implemented by a computer program technique which calculates the minimum time that a robot must hold a workpiece before it is pitched to a target. For a given target location, the robot programmer supplies data to the program about the initial position of the arm and the robot's vertical, extension and rotational velocities. The outputs are the release position coordinates and the release velocity components associated with the minimum handling time. This information is used to set the controls on an industrial robot. If the workpiece receptacle location is adjustable, vertical heights of horizontal target planes are entered as input. Plots are then generated of minimum handling times for each selected target plane. This information and a knowledge of workpiece constraints helps a robot programmer select a workpiece receptacle location with the shortest possible minimum handling time.

We examine the evolution of labor arbitration decisions between 1988 and 2018 in which a union-represented employee was alleged to have committed sexual harassment. We find that management punished sexual harassment more stringently over time and that arbitrators became more sensitive to whether or not good procedure was followed by management over time. Distributive justice was also a major concern for arbitrators. The results suggest that it is essential for management to exercise procedural justice in disciplining employees, but that it is just as important for management to consider distributive justice when it comes to imposing discipline for inappropriate behavior.

The management of children′s literature is a search for value and suitability. Effective policies in library and educational work are based firmly on knowledge of materials, and on the bibliographical and critical frame within which the materials appear and might best be selected. Boundaries, like those between quality and popular books, and between children′s and adult materials, present important challenges for selection, and implicit in this process are professional acumen and judgement. Yet also there are attitudes and systems of values, which can powerfully influence selection on grounds of morality and good taste. To guard against undue subjectivity, the knowledge frame should acknowledge the relevance of social and experiential context for all reading materials, how readers think as well as how they read, and what explicit and implicit agendas the authors have. The good professional takes all these factors on board.

This article presents the findings of a study that sought to gain an insight into social studies preservice teachers’ reported reasons for selecting a primary source document they believe will be at the heart of their curriculum. Their selections included founding documents, historical speeches, inspirational sources, as well as personal mementos. The authors conclude with a discussion of implications for social studies teacher education.

There is of late a renewed interest in trade opportUnitieS with the USSR and Eastern bloc nations. The availability and accessibility of marketing research on Socialist countries is thus an issue that is assuming increasing importance. This article provides an overview of major East‐West trade issues that have achieved research attention, as well as those that have seen neglect so far. An environmental constraints model, applicable to Eastern bloc countries and the USSR, is proposed that may provide guidance for future research.

Climate change has been universally recognized as a major threat to human well-being, necessitating a comprehensive transformation of people's activities. Various measures have been proposed to contain climate change among which the green transformation grabs special attention, thanks to its desirable properties. Within the green transformation process, green tourism comes to prominence with huge potential. As one of the largest carbon emitters, the transition towards green tourism may offer substantial benefits not only for tourism companies but also for the whole economy. Yet, most studies tend to focus on the adverse effects of tourism on climate change while overlooking the potential impact of climate change on tourism. This chapter clarifies the feedback relationship between climate change and tourism and makes some recommendations.

Uses ten case studies to illustrate technology transfer to Eastern Europe in the form of contractual joint ventures. Defines the basic concept of industrial co‐operation or contractual joint venture, providing a working definition and an internationally accepted definition. Investigates the expectations of companies embarking on this type of venture by means of interview results, comparing these.

America has a long history of environmental awareness which evolved as the country grew and changed during the past 300 years. Today, an environmental concern by the people of the country is mainstream and therefore has become an integral part of corporate America. Explores the development, influence and direction of the US environmental movement. Provides background information to help understand why the marketplace is currently responding to the environmental stimulus. Looks at the marketing methods by which the country is expressing this environmental concern and traces the paths taken by those who first advocated the need for an environmental consciousness. Combines historical aspects of the American environmental movement with addressing the growing challenges facing the integration of business and environmental sensitivity.

There is a gap in knowledge about the Gulf Cooperation Council (GCC) because most studies are undertaken in countries outside the Gulf region – such as China, India, the US and Taiwan. The stock market contains rich, valuable and considerable data, and these data need careful analysis for good decisions to be made that can lead to increases in the efficiency of a business. Data mining techniques offer data processing tools and applications used to enhance decision-maker decisions. This study aims to predict the Kuwait stock market by applying big data mining.

The methodology used is quantitative techniques, which are mathematical and statistical models that describe a various array of the relationships of variables. Quantitative methods used to predict the direction of the stock market returns by using four techniques were implemented: logistic regression, decision trees, support vector machine and random forest.

The results are all variables statistically significant at the 5% level except gold price and oil price. Also, the variables that do not have an influence on the direction of the rate of return of Boursa Kuwait are money supply and gold price, unlike the Kuwait index, which has the highest coefficient. Furthermore, the height score of the variable that affects the direction of the rate of return is the firms, and the accuracy of the overall performance of the four models is nearly 50%.

Some of the limitations identified for this study are as follows: (1) location limitation: Kuwait Stock Exchange; (2) time limitation: the amount of time available to accomplish the study, where the period was completed within the academic year 2019-2020 and the academic year 2020-2021. During 2020, the coronavirus pandemic (COVID-19), which was a major obstacle, occurred during data collection and analysis; (3) data limitation: The Kuwait Stock Exchange data were collected from May 2019 to March 2020, while the factors affecting the stock exchange data were collected in July 2020 due to the corona pandemic.

The study used new titles, variables and techniques such as using data mining to predict the Kuwait stock market. There are no adequate studies that predict the stock market by data mining in the GCC, especially in Kuwait. There is a gap in knowledge in the GCC as most studies are in foreign countries, such as China, India, the US and Taiwan.