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Purpose: The purpose of the chapter is to analyze the experience of managerial decisions in modern North American business systems, to develop an American model of decision making in modern business systems, to determine the possibilities of making of optimal decisions according to this model, and to substantiate the perspectives of its improvement.

Methodology: The authors use the methods of systemic, problem, and logical analysis, as well as modeling and formalization.

Conclusions: An American model of decision making in modern business systems is compiled – it is based on divisional organizational structure. This model is contradictory and, like other regional models, has advantages and drawbacks. On the one hand, an important advantage of the American model is making of well-balanced managerial decisions that conform to the interests of all interested parties in the business system (investors, management, employees) and beyond it (consumers, society). This advantage is achieved due to active and systemic marketing, which ensures the fullest consideration of the possibilities of business environment and high adaptability of business systems to its changes. Managers' readiness to take a risk allows them to make nonstandard decisions, thus strengthening the uniqueness and competitive advantages of the business system. On the other hand, high risk component of managerial decisions leads to unsustainable development of business systems in countries of North America and their strong susceptibility to internal and external crises. Another drawback of the American model of decision making in modern business systems is duration of this process due to necessity for consideration of opinions of all interested parties and marketing at all stages.

Originality/value: It is determined that in the conditions of crisis, the American model cannot ensure timely decision making, and this leads to their nonoptimality, which defines the perspectives of improving this model.

Conventional wisdom predicts that changes in macroeconomic conditions significantly affect income inequality. In this paper, we hypothesize that the way in which macroeconomic conditions affect inequality depends on how these conditions influence the constituents of total inequality: inequality of opportunity (IO) and inequality of effort (IE). Using the PSID database for the United States (1970–2009), we first decompose total inequality into these components. Then, we specify a dynamic model that relates each inequality component to a set of macroeconomic factors. Apart from real GDP and inflation rates, the most widely used factors in the literature, we also consider outstanding consumer credits and public welfare and health care expenditures. We find that real GDP and outstanding credits have a negative and significant effect upon IO and IE, while inflation has a positive and significant effect only on IE, and welfare expenditures have a negative and significant effect only on IO.

This paper specifies how to construct and validate an instrument based on multi‐item scales for the cataloguing and measurement of managerial and organizational capabilities on the basis of management perceptions. The construction and reduction of the scales have been reinforced by the Delphi and retesting techniques. The use of this methodology was illustrated in a sample of Spanish industrial firms. The paper enhances the value of the instruments for a resource‐based view with regard to the faithful and rigorous measurement of its key concept, distinctive competences. The scales created provide consistent empirical evidence to remove doubts surrounding managerial self‐evaluation, including those arising from problems of self‐esteem and reinforcement effects. In addition, the paper provides empirical evidence to support the predictive ability of distinctive competences on current and long‐term performance variability.

This study aims to form a valid measure and hierarchical framework to achieve corporate sustainability transitions (CSTs).

The fuzzy Delphi method (FDM) is applied to validate and eliminate challenges in sustainability transition regarding qualitative information. Fuzzy interpretive structural modeling (FISM) is used to build a hierarchical framework under uncertainties.

This study finds that technology investment, data management, eco-management and sociospatial embedding challenges are the highest hierarchical framework levels and affect CST.

A lack of awareness and knowledge, a lack of commitment, a lack of strategy, tolerance of unsustainable practices, a lack of stakeholder participation and a fragmented market are perceived as the challenges that show the highest driving and dependence power. These challenges serve as a reference for government and construction firms in the transition to sustainable corporate practices.

Unsustainable corporate practices have caused large amounts of energy consumption, resource depletion and environmental impacts. There are challenges in transitioning to corporate sustainability that must be addressed. The most significant challenges that need to be solved to facilitate the transition to corporate sustainability are identified and arranged in a hierarchical model. By identifying the hierarchical relationships among the challenges, a theoretical framework that extends the existing models is developed to assist decision-makers.

Many town centres in England exhibit high retail property vacancies and require regeneration. Several alternatives for the replacement of town centre retail (TCR) have been suggested, one of which is healthcare. The healthcare sector in England is in distress, with the National Health Service (NHS) tackling extensive patient waiting lists, whilst operating from an ageing estate. This paper is an introductory study that uses seven carefully selected personalised surveys to raise academic awareness of the importance and potential of integrating healthcare into town centres and calls for large-scale research to establish the statistical validity of the reported observations.

This study is developed from an interpretative standpoint. Through semi-structured interviews with key stakeholders specific to retail-to-healthcare conversions, this study reports stakeholders' perspectives on opportunities and limitations for such conversions to give direction for large statistical research in the future.

All participants support the integration of healthcare into town centres and agreed that diagnostic services, mental health support and primary care services are appropriate for provision within town centres. The participants advocate large-scale change in town centres in England, with integrated healthcare co-located with complementary services to fit with wider regeneration plans. Participants prefer adaptation of existing buildings where technically feasible and emphasise the importance of obtaining the buy-in of other stakeholders whilst expressing concerns about the uncertainty of capital funding availability.

This is the first study to analyse the practice of retail-to-healthcare conversions in town centres. These are still rare in England and projects are complex. The market experience is limited, and thus, the literature is scarce. This study fills this void and provides a starting point for future quantitative research in this area and informs the new town-planning policies.

Using state-level data on productive and unproductive entrepreneurship, shadow economy size, and public official corruption, the purpose of this paper is to examine whether formal sector productive (unproductive) entrepreneurial activity is associated with lower (higher) levels of informal economic activity.

Additionally, the author aims to connect US state-level entrepreneurship, shadow economy size, and corruption by asking whether corruption affects entrepreneurial outcomes primarily through its effects on the shadow economy. The author contends that if this is the case, then estimates of corruption should serve as a good instrument for shadow economy size in regressions on formal sector entrepreneurial outcomes.

Results from OLS regressions suggest that shadow economy size shares a strong, negative (positive), and statistically significant relationship with productive (unproductive) entrepreneurship. These results are fairly robust to GMM estimation. Additionally, the author finds that corruption is a strong instrument for shadow economy size; one for which validity cannot be rejected in regressions on productive, and net entrepreneurship scores.

However, the author cannot safely assert that the author finds evidence of the shadow economy serving as a primary channel through which corruption affects observed entrepreneurial outcomes. Failure to reject validity of the corruption instrument is, at best, suggestive of the primacy of the entrepreneurial choice between formal and informal sector participation.

This study, to the author’s knowledge, is the first to attempt “connecting the dots” between entrepreneurship, corruption, and shadow economy size.