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In this paper, the authors situate existing scholarship about men in nursing within the broader gendered landscape of the profession and society. As a consequence, the need to reframe the discourse about men in nursing from the current emphasis on personal or collective experiences to collective action becomes apparent. The paper aims to discuss these issues.

A critical synthesis of scholarship addressing men in nursing serves as the basis for a conceptual paper which challenges the existing discourse on men in nursing.

The experiences and careers of men in nursing are profoundly shaped by patriarchal power structures that situate caregiving within the realm of the feminine. Although men generally benefit in the context of patriarchal society, men in nursing are subject to a patriarchal paradox that marginalizes their performance of masculinity and situates them as unlikely caregivers. Therefore, men in nursing are preoccupied with balancing the contradictions and tensions in their lives associated with enacting a contextual performance of masculinity depending on the social context of their gender performance.

A comprehensive synthesis of the existing men in nursing literature is presented and these findings are situated within a broader discussion of gender in nursing and society. This analysis provides the impetus for a “call to action” for nursing to comprehensively and meaningfully address the negative consequences of patriarchal forces on the profession of nursing.

The purpose of this paper is to analyze the direct and indirect impacts of social organization in promoting Chinese economic growth. It adopts empirical research to test the correlated hypotheses, and tries to put forward some policy suggestions.

Social organizations are measured by four indicators in this paper. It proposes five hypotheses about the impact of social organization on economic growth and builds an economic growth model including social organization. The ordinary least squares and stepwise regression methods are conducted to estimate the economic growth model with the data from 1999 to 2015.

Through the empirical analysis, it finds that the added value of social organization, human capital, investment and government budget expenditure affect economic growth significantly. The number of social organization at the end of each year has a positive significant effect on entrepreneurship, while the added value and growth rate of it have a negative effect on it. The numbers of social organization and full-time employee have significant effect on number to workers in the labor force. Only the number of social organization has positive significant effect on public education.

This paper conducts an empirical study on the impact of social organization on economic growth in China and fills a gap of the role of social organization on the economy in developing countries. The results provide referenced information for public policy-making.

Innovation convergence is critical to national or regional economic growth patterns. This article provides a systematic review of innovation convergence research through qualitative discussions combined with bibliometric methods. Through this article, researchers interested in the field of innovation convergence can quickly understand the development of the field, quickly identify authors and publications with significant impact, and collaborative networks in the field.

This article is based on the relevant literature included in the WOS database from 1990 to 2021, using Citespace, Gephi and other software to conduct a systematic bibliometric analysis of the research in the new convergence field.

This research shows that the second half of the twentieth century was a boom period for research on economic convergence. 2. The subject foundation of innovation convergence research mainly includes mathematics, economics, political science and computational science. 3. The journals that publish research in this field are widely distributed, including the fields of economics, natural sciences and complex sciences. 4. The research in the field of innovation convergence is inseparable from the research in the field of economic growth.

This study may help others to understand the development history and research trends of the innovation convergence field, as well as the literature and cooperative scientific research institutions that have an important influence.

This chapter investigates the nature of the transformation of macroeconomics by focusing on the impact of the Great Depression on economic doctrines. There is no doubt that the Great Depression exerted an enormous influence on economic thought, but the exact nature of its impact should be examined more carefully. In this chapter, I examine the transformation from a perspective which emphasizes the interaction between economic ideas and economic events, and the interaction between theory and policy rather than the development of economic theory. More specifically, I examine the evolution of what became known as macroeconomics after the Depression in terms of an ongoing debate among the “stabilizers” and their critics. I further suggest using four perspectives, or schools of thought, as measures to locate the evolution and transformation; the gold standard mentality, liquidationism, the Treasury view, and the real-bills doctrine. By highlighting these four economic ideas, I argue that what happened during the Great Depression was the retreat of the gold standard mentality, the complete demise of liquidationism and the Treasury view, and the strange survival of the real-bills doctrine. Each of those transformations happened not in response to internal debates in the discipline, but in response to government policies and real-world events.

In recent years, practitioners have identified a number of problems with traditional performance management (PM) systems, arguing that PM is broken and needs to be fixed. In this chapter, we review criticisms of traditional PM practices that have been mentioned by journalists and practitioners and we consider the solutions that they have presented for addressing these concerns. We then consider these problems and solutions within the context of extant scholarly research and identify (a) what organizations should do going forward to improve PM practices (i.e., focus on feedback processes, ensure accountability throughout the PM system, and align the PM system with organizational strategy) and (b) what scholars should focus research attention on (i.e., technology, strategic alignment, and peer-to-peer accountability) in order to reduce the science-practice gap in this domain.

Despite the vulnerability of rapidly developing and emerging market economies, researchers have paid less attention to the determination of the size of money laundering (ML) in these economies, including the United Arab Emirates (the UAE). Therefore, this paper aims to estimate the magnitude of ML in the UAE between 1975 and 2020 based on the currency demand approach (CDA).

The study uses the Gregory–Hansen cointegration technique alongside the autoregressive distributed lag bounds testing procedure to estimate the CDA model.

The results illustrate that an amount equivalent to about 19.034% of the GDP is laundered in the UAE between 1975 and 2020, on average, with the value lying between 15.129% and 23.121%. In addition, the results demonstrate the importance of the real estate market, gold trade, remittance channels and the size of the underground economy in facilitating the laundering of illicit funds in the country.

To the best of the authors’ knowledge, the study is the pioneering attempt at estimating the amount of illicit funds laundered in the UAE. Besides, the adoption of a novel, yet robust, approach based on the modification of the CDA technique also sets the study apart as it ensures a correct, clear, unambiguous and indisputable estimate of the magnitude of ML is obtained. In addition, it is expected that the outcome of the study will expand the frontiers of knowledge among policy makers and relevant agencies and ensure the adoption of the most efficient and effective measures to curb the ML menace in the country.