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Prior work has suggested that individual decision-making is influenced by the emotions and cognition of the decision-maker. Within the firm context, the chief executive officer (CEO) is required to make many decisions that will meaningfully impact the firm. However, little is known about how CEO emotions and cognition influence not only firm decision-making but also the performance consequences of those decisions. Within this chapter, the authors conceptually explore (1) how CEO affect intensity moderates the relationship between performance below aspirations and risk-taking; and (2) how CEO cognitive complexity determines the directional effect of the risk-performance relationship.

The authors propose novel tests for the detection of Markov switching deviations from forecast rationality. Existing forecast rationality tests either focus on constant deviations from forecast rationality over the full sample or are constructed to detect smooth deviations based on non-parametric techniques. In contrast, the proposed tests are parametric and have an advantage in detecting abrupt departures from unbiasedness and efficiency, which the authors demonstrate with Monte Carlo simulations. Using the proposed tests, the authors investigate whether Blue Chip Financial Forecasts (BCFF) for the Federal Funds Rate (FFR) are unbiased. The tests find evidence of a state-dependent bias: forecasters tend to systematically overpredict interest rates during periods of monetary easing, while the forecasts are unbiased otherwise. The authors show that a similar state-dependent bias is also present in market-based forecasts of interest rates, but not in the forecasts of real GDP growth and GDP deflator-based inflation. The results emphasize the special role played by monetary policy in shaping interest rate expectations above and beyond macroeconomic fundamentals.

In March 2020 the United Nations published an open brief for the creative community to propose interventions to the unfolding COVID-19 pandemic. However, when faced with unprecedented wicked problems such as these, the rigour of design and creative processes can tested. COVID-19 has demonstrated how important human centred design responses are in understanding the worldviews and ecosystems of users. Ad hoc design responses or design hacks have demonstrated that they have a role to play in how we create our future individual, community and societal ecosystems.

In terms of age friendly design, this pandemic makes us envision what should be, furthermore, how we could create better products and services through technology. For our ageing communities “Cocooning” and other social restriction measures have exposed technological deficiencies for the needs of older people and opens up questions of our future preparedness for a growing ageing society. Now more than ever, designers need to understand the behavioural mind-set of older people in their own ecosystem and understand existing mental models.

In this opinion piece we posit what acts of design hacking can lead us to greater understanding of users mental models and therefore better understanding of technology needs for both older and younger adults. While presenting various examples of how design hacking is conducted by citizens and participants alike, it shows that it offers designers differing perspectives, experiences and inspiration for technology.

This study examines the relationship between strategic entrepreneurial behaviors (SEBs) and the performance of small and medium-sized enterprises (SMEs) in an emerging market context. The authors expand upon prior work in this area by building and testing a model that assesses the moderating effect of CEOs’ narcissism and Machiavellianism on the relationship between SEBs and SME performance.

To test the authors’ theoretical model, the authors use the results of a larger data collection project in Russia to create a national random sample of 372 Russian SMEs that were approached between August and November 2019.

The authors found support for the positive relationship between SEBs and SME performance. Additionally, the authors found that CEO narcissism and Machiavellianism strengthen the relationship between SEBs and firm performance.

This study is an important step toward enriching the understanding of the role of CEO personality traits in shaping the efficiency of entrepreneurial behavior at the firm level. Extending previous research, the authors show that SEBs have a positive effect on firm performance in an emerging market context. Additionally, the authors contribute insight about how personality characteristics of CEOs, specifically narcissism and Machiavellianism, influence the relationship between entrepreneurial behavior and firm performance. Finally, the authors’ research contributes to the development of strategic leadership theory: the results offer insight to scholars regarding the potentially beneficial attributes of otherwise “dark” leaders.

Literature on the relationship between social performance and economic performance of social enterprises has long been inconclusive. This paper aims to investigate whether and, if so, how social performance contributes to economic performance of social enterprises. Specifically, drawing from the resource-based view and signalling theory, the study examines how the development of reputation, which enables social enterprises to signal the enterprises' stakeholders' commitment towards social causes, mediates the relationship between the two.

Employing a quantitative research design, data were collected from a sample of 164 social enterprises in the UK and analysed using structural equation modelling (SEM).

The results illustrate that whilst the direct relationship between social and economic performance is inconclusive, social performance contributes indirectly to improve economic performance through improving social enterprise reputation.

To the best of the authors' knowledge, this study is the first of this kind in the context of social enterprises which sheds light on the long-standing conflicting literature on the relationship between the dual objectives (i.e. social and economic) by providing reputation as the mediating variable.

This paper aims to investigate associations between firm resources and reliance on entrepreneurial marketing (EM) channels among agrofood ventures. It accounts for agropreneur gender and racial/ethnic status in the context of marketing channel portfolio composition. The authors examine the established assumption that resource limitations drive EM and whether socially disadvantaged status of agropreneurs is associated with marketing strategy beyond standard resourcing measures.

Using 2015 Local Foods Marketing Practices Survey data, the authors apply linear regression to investigate differences in the use of EM channels, accounting for resources, social status and other factors.

Limited-resource ventures rely more on consumer-oriented channels that require EM practices. Socially disadvantaged entrepreneurs favor these channels, even when accounting for resources. Notably, ventures headed by men of color rely more on the most customer-centric local foods marketing channel.

Future research should investigate how social and human capital influences the use of EM.

Entrepreneurial support policy and practice for agropreneurs should be cautious about the “double-burden” folk theorem of intersectional disadvantage and review how to best direct resources on EM to groups most likely to benefit.

This paper uses a unique, restricted, nation-wide, federal data set to examine relationships between resource endowments, social status and the composition of agrofood enterprises’ marketing channel portfolios. To the best of the authors’ knowledge, it is the first to include racial- and ethnic-minority status of agropreneurs and to account for intersectionality with gender.

Scandal is the disruptive publicity of alleged misconduct and it is important for organizations because of its severe consequences. Distinguishing between single-actor scandals, i.e., scandals that result from publicity of misconduct by a single actor, and multiple-actor scandals, i.e., scandals that result from publicity of misconduct of a similar type by multiple actors, we develop a framework for studying scandal dynamics that draws a distinction between how scandals start (single-actor or multiple-actor) and how they end (single-actor or multiple-actor). We focus specifically on spillover scandals (from single to multiple actors) and scapegoating scandals (from multiple to single actors) and identify several mechanisms that affect the likelihood of these two important types of scandals. We conclude by developing a research agenda that builds upon the central contribution of our framework: the distinction between single- and multiple-organization scandals and the transitions that result in spillovers and scapegoating.

Woman's use of violence has been mainly conceptualised through woman's experiences of victimization. However, more recent perspectives emphasise the female agency, responsibility and meaning of woman's violence. Listening to the voices of victims of women's abuse is a powerful way of learning about woman's use of violence and its impact on the victims. We conducted focus groups with 41 men from four countries who experienced female-perpetrated abuse. Four major types of abuse were identified: psychological abuse and coercive control followed by physical violence and sexual violence. Psychological abuse ranged from verbal assaults and gaslighting to provoking physical altercations and reporting false accusations. Patterns of control included deliberate isolation, threatening false accusations and financial domination. Men reported that women initiated physical violence for various reasons, including jealousy and rage. Some women used different objects that could seriously hurt, including knife, while others slapped, bit, punched or kicked. Several men reported female-perpetrated sexual abuse. Woman's use of violence in the intimate relationship should be treated seriously. A more gender-inclusive approach to partner abuse is required that can focus on a better prevention of abuse for all victims.

The purpose of this study is to model steam condensing flows through steam turbine blades and find the most suitable condensation model to predict the condensation phenomenon.

To find the most suitable condensation model, five nucleation equations and four droplet growth equations are combined, and 20 cases are considered for modelling the wet steam flow through steam turbine blades. Finally, by the comparison between the numerical results and experiments, the most suitable case is proposed. To find out whether the proposed case is also valid for other boundary conditions and geometries, it is used to simulate wet steam flows in de Laval nozzles.

The results indicate that among all the cases, combining the Hale nucleation equation with the Gyarmathy droplet growth equation results in the smallest error in the simulation of wet steam flows through steam turbine blades. Compared with experimental data, the proposed model’s relative error for the static pressure distribution on the blade suction and pressure sides is 2.7% and 2.3%, respectively, and for the liquid droplet radius distribution it totals to 1%. This case is also reliable for simulating condensing steam flows in de Laval nozzles.

The selection of an appropriate condensation model plays a vital role in the simulation of wet steam flows. Considering that the results of numerical studies on condensation models in recent years have not been completely consistent with the experiments and that there are still uncertainties in this field, further studies aiming to improve condensation models are of particular importance. As condensation models play an important role in simulating the condensation phenomenon, this research can help other researchers to better understand the purpose and importance of choosing a suitable condensation model in improving the results. This study is a significant step to improve the existing condensation models and it can help other researchers to gain a revealing insight into choosing an appropriate condensation model for their simulations.