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The impact of the number of coworkers participating in training on transfer outcomes has largely been overlooked. This paper aims to examine whether the number of coworkers participating in training interacts with peer support (PS) to influence training motivation and transfer.

Data were collected using a cross-sectional survey from a sample of 688 employees working in 14 midsize and large companies. All participants were recent trainees in various open skill (e.g. leadership) training programs. Moderated mediation was used to test the hypotheses.

Motivation to transfer (MTT) mediated the relationship between PS and perceived training transfer. When more coworkers participated in the training, PS had a stronger influence on trainee MTT.

Organizations should consider training coworker cohorts at the same time to influence MTT and training transfer. Generally, whole-team training programs could be used to boost training transfer outcomes, although it could potentially have a negative impact on transfer if PS is low.

To the best of the authors’ knowledge, this was the first study to demonstrate that the number of coworkers participating in training can moderate the effect of PS on MTT and training transfer.

Intelligence or general mental ability (GMA) is a strong predictor of job performance across most occupations, and educational attainment has been shown to be a predictor of entrepreneurial outcomes. However, there has been little research examining the simultaneous effects of entrepreneurs’ GMA and educational attainment on their venture outcomes. The purpose of this paper is to examine the impact of these human capital resources on venture performance and survival.

Using a sample of 234 self-employed entrepreneurs from a longitudinal database, regression analysis was employed to examine the predictors of venture performance. A hazard model was utilized to assess venture survival.

Entrepreneurs’ intelligence influenced venture performance directly and indirectly via educational attainment. Entrepreneurs with higher GMA were subsequently able to obtain more education, and GMA had an indirect, positive influence on venture performance through this additional educational attainment. Findings also demonstrated an inverted-U, curvilinear effect on venture survival for GMA and educational attainment. This indicates that both intelligence and educational attainment should be considered when examining how likely entrepreneurs are to persist or survive in their ventures.

Entrepreneurs with higher GMA had ventures that performed better and obtained more education, which influenced venture survival. These findings suggest that entrepreneurs’ intelligence is likely to be an important predictor of venture outcomes, as well as a source of entrepreneurs’ human capital acquisition. Therefore, GMA should have a more central role in the human capital discussion within the entrepreneurship literature.

The purpose of this paper is to compare and integrate leader-member exchange (LMX) and leader identification (LID) as concurrently functioning mediators between three leadership styles (individual-focused transformational, contingent reward, and benevolent paternalistic) and two citizenship behaviors (helping and taking charge).

Data included 395 stable, independent leader-follower dyads from numerous Chinese organizations. Partial least squares structural equation modeling and relative weight analysis were used in data analyses.

In established, steady-state leader-member alliances, LMX was the dominant explanation between various leadership styles and helping; whereas LID explained leadership effects on taking charge. Three-stage indirect effects of leadership-LMX-LID-taking charge were found. Also, LMX and LID related to the three focal leadership styles in distinct ways.

Limitations include cross-sectional data. Strengths include a large, multi-source field sample. Implications include that LMX and LID provide different prosocial motivations; LMX indirectly engenders stronger other-orientation through LID; and the nature of indirect leadership effects via LID is more sensitive to the nature of the focal leadership styles. LMX and LID together provide a package of prosocial motivations.

Leaders interested in increasing employees’ helping vs taking charge behaviors can be more effective by understanding the different motivational potentials of LMX vs LID. Leaders also need to choose appropriate behavioral styles when they activate LMX vis-à-vis LID.

This study integrates multiple leadership theories to provide a nuanced account of how social exchange and self-concept explain leadership at the interpersonal level when leadership styles, LMX, and LID are stable.

The current study integrates self-enhancement and social exchange theories to construct hypotheses in which team-level narcissism is expected to negatively influence team-level task performance ratings and team-level organizational citizenship behaviors directed at team members (OCB-Is). Additionally, individual-level narcissism is expected to negatively influence peer performance ratings. Based on longitudinal data collected from 89 study participants constituting 29 project teams, results indicate (a) team-level narcissism influences task performance, (b) team-level narcissism influences changes in OCB-Is over time, and (c) individual-level narcissism influences peer performance ratings. Our findings suggest the necessity for practitioners to consider individual differences in the strategic formation of work groups.

This chapter focuses on the normative importance of what attitudes our actions express to others. Business is not conducted in a vacuum – rather, it is conducted against a background schema of social meaning. This chapter argues that the public meaning of our actions, what our actions express, is normatively important. The piece imports familiar norms regarding expressions from interpersonal morality to business ethics, such as those surrounding insult, blame, and gratitude. It argues that many of ethicists’ gripes across a range of business ethics topics – from disproportionate compensation to immoral investing – can fruitfully be analyzed from an expressive perspective.

There has been a tremendous decline in the use of the death penalty in the United States. Recent research using county-level data shows that a small minority of locales in the country account for death sentences and even fewer for executions. Drawing on theoretical work that seeks to account for why these locales continue to use capital punishment, we provide in this chapter a thick description of Maricopa County, Arizona, one of the most active death penalty locales in the contemporary United States. In doing so, we demonstrate how capital punishment operates in a field of violently defended racial boundaries. Our chapter shows the roles of various local actors across time in fortifying such racial boundaries through historical white terrorism and more recent reinforcement of zones of racial exclusion that are embodied especially in communicated fears of “illegal immigrant gangs.” We contend that the case of Maricopa County points to the importance of attending to racist localisms as a catalyst for the continued implementation of the death penalty in the United States.

(1) A concern often expressed in relation to cryptocurrencies is the environmental impact associated with increasing energy consumption and mining pollution. Controversy remains regarding how environmental attention and public concerns adversely affect cryptocurrency prices. Therefore, the paper aims to introduce the index of cryptocurrency environmental attention (ICEA), which aims to capture the relative extent of media discussions surrounding the environmental impact of cryptocurrencies. (2) The impacts of cryptocurrency environmental attention on long-term macro-financial markets and economic development remain part of undeveloped research fields. Based on these factors, the paper will further examine the effects of the ICEA on financial markets or economic developments.

(1) The paper introduces a new index to capture cryptocurrency environmental attention in terms of the cryptocurrency response to major related events through gathering a large amount of news stories around cryptocurrency environmental concerns – i.e. >778.2 million news items from the LexisNexis News & Business database, which can be considered as Big Data – and analysing that rich dataset using variety of quantitative techniques. (2) The vector error correction model (VECM) and structural VECM (SVECM) [impulse response function (IRF), forecast error variance decomposition (FEVD) and historical decomposition (HD)] are useful for characterising the dynamic relationships between ICEA and aggregate economic activities.

(1) The paper has developed a new measure of attention to sustainability concerns of cryptocurrency markets' growth, ICEA. (2) ICEA has a significantly positive relationship with the UCRY indices, volatility index (VIX), Brent crude oil (BCO) and Bitcoin. (3) ICEA has a significantly negative relationship with the global economic policy uncertainty (GlobalEPU) and global temperature uncertainty (GTU). Moreover, ICEA has a significantly positive relationship with the industrial production (IP) in the short term, whilst having a significantly negative relationship in the long term. (4) The HD of the ICEA displays higher linkages between environmental attention, Bitcoin and UCRY indices around key events that significantly change the prices of digital assets.

The ICEA is significant in the analysis of whether cryptocurrency markets are sustainable regarding energy consumption requirements and negative contributions to climate change. Understanding of the broader impacts of cryptocurrency environmental concerns on cryptocurrency market volatility, uncertainty and environmental sustainability should be considered and developed. Moreover, the paper aims to point out future research and policy legislation directions. Notably, the paper poses the question of how cryptocurrency can be made more sustainable and environmentally friendly and how governments' cryptocurrency policies can address the cryptocurrency markets.

(1) The paper develops a cryptocurrency environmental attention index based on news coverage that captures the extent to which environmental sustainability concerns are discussed in conjunction with cryptocurrencies. (2) The paper empirically investigates the impacts of cryptocurrency environmental attention on other financial or economic variables [cryptocurrency uncertainty (UCRY) indices, Bitcoin, VIX, GlobalEPU, BCO, GTU index and the Organisation for Economic Co-operation and Development IP index]. (3) The paper provides insights into making the most effective use of online databases in the development of new indices for financial research.

Whilst blockchain technology has a number of useful implications and has great potential to transform several industries, issues of high-energy consumption and CO2 pollution regarding cryptocurrency have become some of the main areas of criticism, raising questions about the sustainability of cryptocurrencies. These results are essential for both policy-makers and for academics, since the results highlight an urgent need for research addressing the key issues, such as the growth of carbon produced in the creation of this new digital currency. The results also are important for investors concerned with the ethical implications and environmental impacts of their investment choices.

(1) The paper provides an efficient new proxy for cryptocurrency and robust empirical evidence for future research concerning the impact of environmental issues on cryptocurrency markets. (2) The study successfully links cryptocurrency environmental attention to the financial markets, economic developments and other volatility and uncertainty measures, which has certain novel implications for the cryptocurrency literature. (3) The empirical findings of the paper offer useful and up-to-date insights for investors, guiding policy-makers, regulators and media, enabling the ICEA to evolve into a barometer in the cryptocurrency era and play a role in, for example, environmental policy development and investment portfolio optimisation.

Past work has shown that failure tolerance by principals has the potential to stimulate innovation, but has not examined how this affects which projects principals will start. We demonstrate that failure tolerance has an equilibrium price – in terms of an investor’s required share of equity – that increases in the level of radical innovation. Financiers with investment strategies that tolerate early failure will endogenously choose to fund less radical innovations, while the most radical innovations (for whom the price of failure tolerance is too high) can only be started by investors who are not failure tolerant. Since policies to stimulate innovation must often be set before specific investments in innovative projects are made, this creates a trade-off between a policy that encourages experimentation ex post and the one that funds experimental projects ex ante. In equilibrium, it is possible that all competing financiers choose to offer failure tolerant contracts to attract entrepreneurs, leaving no capital to fund the most radical, experimental projects in the economy. The impact of different innovation policies can help to explain who finances radical innovations, and when and where radical innovation occurs.

Immigrant and native child poverty in Denmark, Norway, and Sweden 1993–2001 is studied using large sets of panel data. While native children face yearly poverty risks of less than 10 percent in all three countries and for all years studied the increasing proportion of immigrant children with an origin in middle- and low-income countries have poverty risks that vary from 38 up to as much as 58 percent. At the end of the observation period, one third of the poor children in Norway and as high as about a half in Denmark and in Sweden are of immigrant origin. The strong overrepresentation of immigrant children from low- and middle-income countries when measured in yearly data is also found when applying a longer accounting period for poverty measurement. We find that child poverty rates are generally high shortly after arrival to the new country and typically decrease with years since immigration. Multivariate analysis shows that parents years since immigration and education affect risks of the number of periods in persistent poverty. While a native child is very unlikely to spend nine years in poverty, the corresponding risk for a child to a newly arrived immigrant was found to be far from negligible. Much of the pattern is similar across the three countries but there are also some notable differences.