Human capital and leadership: the impact of cognitive and noncognitive abilities

We conduct an economic analysis about the impact of human capital on an individual’s potential of becoming a leader based on data from the Programme for the International Assessment of Adult Competencies Survey (PIAAC). Our human capital indicators include not only traditional measures such as education and experience, but also various measures of cognitive and noncognitive ability. Our cognitive ability measures include numeracy, literacy, and problem solving abilities, and noncognitive ability measures include perseverance, motivation to learn, and social trust. We specifically investigate the effect of measurement error and reverse causality on the estimation results. We find that problem-solving ability is the most important in affecting leadership among cognitive ability measures, and perseverance shows the strongest impact among noncognitive ability measures. As a leader supervises more employees, the role of cognitive and noncognitive ability becomes more critical.     

CEOs' reputation,quality management and environmental innovation: The roles of stakeholder pressure and resource commitment

In this paper, we examine how and when chief executive officers' (CEOs') reputation enhances environmental innovation by considering quality management as a mediating mechanism of this relationship. In addition, we introduce stakeholder pressures (primary and secondary stakeholder pressures) as important contingencies of the relationship between CEOs' reputation and quality management. Moreover, we test the moderating role of resource commitment on the quality management‐environmental innovation relationship. We test our research model using data from a manufacturing industry sample of 217 firms from Ghana. We find that quality management mediates the relationship between reputation and environmental innovation. Moreover, the relationship between CEOs' reputation and quality management is amplified when levels of both primary and secondary stakeholder pressures are greater. Finally, our findings show that the effect of quality management on environmental innovation is enhanced when resource commitment is greater. Implications for theory and practice are discussed.     

Make it too difficult,and I'll give up; let me succeed,and I'll excel: The interaction between assigned and personal goals

We examine the motivational effects of setting both assigned and personal nonbinding goals on a real-effort laboratory experiment. In order to derive conjectures for our experiment, we develop a model with goal-dependent preferences. In line with previous studies, we find that goal setting leads to a higher performance. We also find that goal setting is most effective if subjects were able to achieve previous goals. Therefore, in goal setting, “success breeds success.” In particular, we observe that when subjects are initially allowed to attain assigned goals, they are better at self-motivating in the future when performing under personal goals.     

Board gender composition,board independence and sustainable supply chain responsibility

The consideration of social and environmental factors in companies’ supply chain is a prevalent research topic because stakeholders are now inquisitive about the social and environmental impacts of companies’ suppliers. Using a sample of S&P 500 firms, we find that board gender composition and board independence are positively associated with sustainable supply chain responsibility (SSCR). We also identify three channels (CEO duality, sustainability committee and sensitive industries) through which board gender composition and board independence affect SSCR, where board gender composition consistently explains SSCR, but the effect of board independence is less pronounced in firms with CEO duality and firms with a sustainability committee. Finally, we explore the reason for the less-pronounced findings for board independence in our subsample analyses and find that, compared with independent female directors who continue to display significant associations with SSCR, independent male directors do not engender SSCR across the three subsample tests.     

Computational aspects of robust optimized certainty equivalents and option pricing

Accounting for model uncertainty in risk management and option pricing leads to infinite‐dimensional optimization problems that are both analytically and numerically intractable. In this article, we study when this hurdle can be overcome for the so‐called optimized certainty equivalent (OCE) risk measure—including the average value‐at‐risk as a special case. First, we focus on the case where the uncertainty is modeled by a nonlinear expectation that penalizes distributions that are “far” in terms of optimal‐transport distance (e.g. Wasserstein distance) from a given baseline distribution. It turns out that the computation of the robust OCE reduces to a finite‐dimensional problem, which in some cases can even be solved explicitly. This principle also applies to the shortfall risk measure as well as for the pricing of European options. Further, we derive convex dual representations of the robust OCE for measurable claims without any assumptions on the set of distributions. Finally, we give conditions on the latter set under which the robust average value‐at‐risk is a tail risk measure.