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Organizations are confronted with problems and political risks to which they have to respond, presenting a need to develop tools and frames of understanding requisite to do so. In this article, we argue for the necessity of cultivating “political judgment” with a “sense of reality,” especially in the upper echelons of organizations. This article has two objectives: First to highlight how a number of recent interlinked developments within organizational analysis and practice have contributed to weakening judgment and its accompanying “sense of reality.” Second, to (re)introduce some canonical works that, although less in vogue recently, provide both a source of wisdom and frames of understanding that are key to tackling today’s problems. We begin by mapping the context in which the need for the cultivation of political judgment within organizations has arisen: (i) increasing proliferation of political risks and “wicked problems” to which it is expected that organizations adapt and respond; (ii) a wider historical and contemporary context in which the exercise of judgment has been undermined – a result of a combination of economics-inspired styles of theorizing and an associated obsession with metrics. We also explore the nature of “political judgment” and its accompanying “sense of reality” through the work of authors such as Philip Selznick, Max Weber, Chester Barnard, and Isaiah Berlin. We suggest that these authors have a weighty “sense of reality”; are antithetical to “high,” “abstract,” or “axiomatic” theorizing; and have a profound sense of the burden from exercising political judgment in difficult organizational circumstances.

In today’s digital era, talent recruitment can help address the growing shortage of skilled labor in the construction industry and promote sustainable growth. While existing research has explored the association between talent acquisition and local labor productivity or economic progress, the impact on construction growth deserves further study. This study aims to (1) explore the influence of talent recruitment on the growth of the construction industry and (2) analyze whether different regional characteristics shape the differential impact of talent acquisition on construction growth.

This research employs a quantitative approach, focusing on 35 major cities in China. A panel data regression model is utilized to analyze annual data from 2013 to 2018, considering variables like the construction talent recruitment index, value added in construction, gross regional product per capita and others. The study also examines regional heterogeneity and conducts robustness tests to validate the findings.

The results reveal a positive and significant correlation between talent recruitment and construction industry growth. This correlation is more pronounced in economically advanced and infrastructure-rich regions. The study also finds that factors like capital investment, educational attainment and housing prices significantly contribute to industry growth. Talent recruitment not only transforms local labor market dynamics but also drives demand for construction services, promoting industry growth through economies of scale.

This research constructs a new measurement for talent recruitment and provides new insights into the pivotal role of talent recruitment in the sustainable growth of the construction industry. It underscores the need for construction firms to tailor talent acquisition policies to their specific circumstances and regional developmental conditions. The findings offer practical guidance for driving regional growth within the sector, emphasizing the importance of talent recruitment as a key yet previously underappreciated factor in industry development.

This chapter delves into the specific heuristics, biases, and cognitive errors that often arise during decision-making processes in healthcare. It explores how specific mental shortcuts can lead to inconsistencies and irrationalities. Key concepts include statistical evaluation errors, such as the base rate fallacy and the law of large numbers, and causal inference issues like regression to the mean and omitted variables. This chapter also covers common cognitive biases, such as confirmation bias, optimism bias, action bias, halo effect, overdiagnosis, etc., which influence medical professionals and patients in interpreting information and deciding. Recognition of such biases can enhance medical decision outcomes as well as improving the communication between stakeholders.

Young offender mentoring programmes aim to support young people’s desistance from offending, but despite the importance, there remains limited exploration into mentor experiences of supporting the young people. This study aims to explore how a community-based mentoring intervention supports desistance in young offenders by understanding the mentor's experiences, with a specific reflective focus on facilitators and barriers to their work.

Semi-structured interviews were conducted with seven mentors from Northumbria Coalition against Crime, a youth and community service. Interview transcripts were analysed using interpretative phenomenological analysis, with external auditing conducted by the research supervisor.

Two superordinate themes resulted: “Factors for engagement” and “Personal experiences”, with participant disclosures reflecting professional reward and a sense of success. This was interwoven with “burnout”, emotional investment and challenges linked to barriers to effectiveness. Challenges included the young people having external negative influences, multiple individuals involved in a person’s care and the barrier of in person activities during the coronavirus pandemic. The clinical importance of mentoring programmes, implications for future working practice and research limitations are considered.

The clinical importance of mentoring programmes, implications for future working practice and research limitations are considered.

These findings contribute to understanding mentors’ experiences of working with young people in the community, offering critical insight into the mentorship and wider service dynamics. Furthermore, it provides an inaugural evaluation of the Northumbria Coalition against Crime services.

Taking an organizational perspective, this paper aims to understand how organizations respond to such strong and concurrent societal effects, and to answer the question, “How should researchers conceptualize the symbiotic relationship between society and business during a catastrophic societal event?”

The authors highlight through numerous examples, the impact of COVID-19 on society is well-evidenced in the research. They also draw on such evidence of the effects of catastrophic societal events like COVID-19 to support the appropriateness of this conceptualization.

The authors found that organizations that use both short- and long-term activities concurrently are better able to tackle the concurrent short- and long-term effects of catastrophic events like COVID-19.

The authors use ambidexterity theory, supported by evidence derived from organizational responses to COVID-19, to offer a new and more comprehensive conceptualization that frames the concurrent and interrelated short-term and long-term organizational response to a catastrophic societal event. Further, they highlight the importance of studying such organizational responses in the context of the organization’s referent groups.

This study uses social exchange theory to describe, explain and propose the influence of dyad partners' leadership position structure, which includes the roles they play and their existing and prospective common experience, on their commitment to their dyad and their cooperation.

The study uses the case of equally empowered co-CEOs in a family business, who play the roles of family member, owner and executive; co-CEOs in a startup firm, who play the roles of owner and executive; and co-CEOs in a merger and acquisition (M&A), who play the role of executive. Co-CEOs in family businesses benefit from longer existing and longer prospective dyad longevity than co-CEOs in startups, who, in turn, benefit from longer existing and longer prospective dyad longevity than co-CEOs in M&As.

The study proposes that the roles the partners play in the dyads, and the existing and prospective longevity of their relationship, positively influence the partners' commitment to the dyad and their level of cooperation.

The study offers a model that has the potential to direct scholars at the formulation of the theory of top management symmetric formal power dyads dynamics and assist family business owners, startup partners, board of directors and co-CEOs in formulating and implementing upper echelons leadership plans to enhance cooperation and coordination between equal partners.

While science has researched the impact of air pollution on human health, the economic dimension of it has been less researched so far. Renewable energy consumption is an important factor in determining the level of life expectancy and reducing health expenditure. Thus, this study aims to investigate the impact of renewable energy, carbon emissions, health expenditure and urbanization on life expectancy in G-7 countries over the period of 2000–2019.

This study has adopted a novel Method of Moments Quantile Regression (MMQR). Furthermore, as a robustness check for MMQR, the fully modified ordinary least square, dynamic ordinary least squares and fixed effect ordinary least square estimators have been used.

The results indicated that renewable energy consumption, health expenditure and urbanization lead to an increase in life expectancy across all quantiles (5th to 95th), whereas higher carbon dioxide emissions reduce life expectancy at birth across all the quantiles (5th to 95th).

The empirical findings conclude that governments should recognize their potential in renewable energy sources and devise policies such as tax-related regulations, or relevant incentives to encourage further investments in this field.

This paper in comparison to the other research studies used MMQR to investigate the impact of factors affecting life expectancy. Also, to the best of the authors’ knowledge, so far no study has investigated the impact of renewable energy on life expectancy in G-7 countries.