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This study aims to examine dynamic interactions among economic growth, geography and the housing market with public goods financed by the government. A general dynamic equilibrium model of an isolated economy with economic geography, local public goods and capital accumulation is to be constructed. The economy has three sectors, supplying industrial goods, housing, and local public goods. The model synthesizes the main ideas in neoclassical growth theory, the Alonso urban model, and the Muth housing model in an alternative framework to the traditional growth theory.

The model is based on the neoclassical growth theory with an alternative approach to household behavior. The paper shows how to solve the dynamics of the economic system and simulate the model to demonstrate dynamic interactions among economic growth, housing market, residential distribution and public goods over time and space.

The paper simulates equilibrium and motion of the spatial economy with Cobb‐Douglas production and utility functions. The simulation demonstrates, for example, that, as the tax rate on the land income is increased, the total capital stocks and the stocks employed by the three sectors are increased, the rate of interest falls and the output of the industrial sector and the wage rate are increased, the land devoted to local public goods falls and the land rent and housing rent rise over space, the consumption level of the industrial goods and the total expenditures on the public goods are increased.

The paper provides some possible implications of the model for complicated consequences of government policy over time and space. In particular, the paper shows that a change in government policy not only has a macroeconomic impact over time, but also affects the economic geography of the national economy.

The paper offers insights into the linkage among growth, national public policies and economic geography.

This paper aims to present the internalization process by which Venezuelan migrants and refugees are resettled. Using system dynamics, the authors model a Brazilian humanitarian operation (“Acolhida” – Welcome), simulate the internalization process, propose policies and provide lessons learned for future migratory operations.

Using system dynamics simulation, the authors use Acolhida Operation’s historical data to recreate the reception and resettlement process of Venezuelan migrants and refugees. The authors identify the main bottlenecks in the system and propose policies to respond to scenarios according to the number of internalization vacancies, that is, available places in Brazil where migrants and refugees can be resettled. Finally, based on interviews with former decision-makers, the model represents a first attempt to convert the pressure of public opinion on authorities into temporary shelters as a way of reducing the number of unassisted people.

The results confirm that internalization vacancies are the main constraint when resettling Venezuelan migrants and refugees. Had the internalization program been promoted since the operation’s beginning, there would have been fewer unassisted people in Roraima and fewer shelters. The pressure-converting mechanism presented in this study, although incipient, constitutes a first attempt to support decision-makers in determining when to build temporary shelters.

This study can be useful to public authorities and humanitarian organizations when developing policies to enhance resettlement in migratory crises. In Acolhida’s case, the internalization program should continue to be the operation’s priority and can be enhanced by investing more resources to create internalization vacancies while maintaining logistical capacities.

The authors suggest policies to improve the Acolhida internalization program: give more people the choice to relocate in other cities, increase turnover in shelters and provide a more efficient and effective response to Venezuelan migration in Roraima.

Although a number of studies have applied system dynamics to humanitarian operations, few models have focused on migratory emergencies, such as those occurring in northern Brazil. The model is applied to the largest humanitarian operation carried out in the Brazilian territory and provides decision-makers with valuable insights and alternatives for better implementation in the future. Furthermore, this study narrows the gap between the social sciences and modeling and simulation techniques by proposing ways of predicting migratory implications in the construction of shelters and resettlement policies.

Draws extensively on the unpublished papers of Henri Fayol to show how his experiences as an engineer, director and CEO for Commentry Fourchambault provided the basis for the ideas presented in his classic Administration Industrielle et Générale (1916). Emphasizes Fayol′s experiences managing coal miners; his direction of a firm facing crisis owing to depletion of its primary assets (coal and ore deposits); and his struggle to assert the primacy of the CEO in dealings with the company board of directors.

Nobody concerned with political economy can neglect the history of economic doctrines. Structural changes in the economy and society influence economic thinking and, conversely, innovative thought structures and attitudes have almost always forced economic institutions and modes of behaviour to adjust. We learn from the history of economic doctrines how a particular theory emerged and whether, and in which environment, it could take root. We can see how a school evolves out of a common methodological perception and similar techniques of analysis, and how it has to establish itself. The interaction between unresolved problems on the one hand, and the search for better solutions or explanations on the other, leads to a change in paradigma and to the formation of new lines of reasoning. As long as the real world is subject to progress and change scientific search for explanation must out of necessity continue.

Manufacturing companies can competitively be recognized among the most advanced and influential companies in the world by successfully implementing Quality 4.0. However, its successful implementation poses one of the most relevant challenges to the Industry 4.0. According to recent surveys, 80%–87% of data science projects never make it to production. Regardless of the low deployment success rate, more than 75% of investors are maintaining or increasing their investments in artificial intelligence (AI). To help quality decision-makers improve the current situation, this paper aims to review Process Monitoring for Quality (PMQ), a Quality 4.0 initiative, along with its practical and managerial implications. Furthermore, a real case study is presented to demonstrate its application.

The proposed Quality 4.0 initiative improves conventional quality control methods by monitoring a process and detecting defective items in real time. Defect detection is formulated as a binary classification problem. Using the same path of Six Sigma define, measure, analyze, improve, control, Quality 4.0-based innovation is guided by Identify, Acsensorize, Discover, Learn, Predict, Redesign and Relearn (IADLPR²) – an ad hoc seven-step problem-solving approach.

The IADLPR² approach has the ability to identify and solve engineering intractable problems using AI. This is especially intriguing because numerous quality-driven manufacturing decision-makers consistently cite difficulties in developing a business vision for this technology.

From the proposed method, quality-driven decision-makers will learn how to launch a Quality 4.0 initiative, while quality-driven engineers will learn how to systematically solve intractable problems through AI.

An anthology of the own projects enables the presentation of a comprehensive Quality 4.0 initiative and reports the approach’s first case study IADLPR². Each of the steps is used to solve a real General Motors’ case study.

This paper investigates state auditors’ decisions regarding the isolation or projection of sample misstatements to underlying sample populations. Seventy-eight state auditors completed four treatment cases that incorporate the complete 2×2 manipulation of intentional/unintentional and systematic/non-systematic misstatements in different case scenarios, enabling a test of the independent variables both across and within case scenarios.

The results indicate that both across and within case scenarios, auditors tend to project systematic misstatements more often than they project non-systematic misstatements. However, the auditors’ isolation/projection decisions are generally not influenced by whether the sample misstatements are intentional or unintentional.

The chapter examines the simultaneous rise of a new spirit of isolationism amid the increasing role of globalization of business and economic activity. It focuses on the competing claims regarding whether Africa could be better off or not in the light of the current isolationist views being expressed by some world leaders and countries. The chapter’s importancve lies in the fact that it contributes to a discussion which has been of considerable concern to many people of late. Whilst it is still too early to predict the long-term effect on the current isolationist policies by some developed countries, it is quite clear that Africa will lose the attention of the world in view of the recent happenings. Ironically, the uncertainty and disruption underway could also provide the needed impetus that can propel the continent to assume responsibility for itself and thereby strife to develop itself more efficiently and effectively than it has ever done.

The model-based enquiry depends on the form in which models are formulated and represented. When economists select a model as an efficient reasoning tool, they may first consider the type of model whose inherited epistemic virtue and reasoning rules best fits their needs. This chapter studies the dependence between the different forms of models and scientific knowledge by considering a particular form of model, that is, the diagram. This chapter draws from the history of location theory, which provides us with an example of how economists reasoned with diagrams, how their particular geometric shapes became an idealized landscape, and how they reasoned into them to account for actual spatial patterns of economic activity providing the opportunity for policy advice. Three different diagrams are examined: Johann Heinrich von Thünen’s concentric rings of agricultural land use, Alfred Weber’s triangles of industrial locations, and Walter Christaller’s hexagons of market area.

Within entrepreneurship research there is an increased interest in investigating the nexus between venture opportunities and enterprising individuals (Venkataraman, 1997; Shane & Venkataraman, 2000; Eckhardt & Shane, 2003; Sarasvathy, Dew, Velamuri, & Venkataraman, 2003). The move is towards the understanding of why and when opportunities emerge, why only some individuals identify and exploit these opportunities, and how different conditions influence the means of their exploitation.