The Relevance of Nationality and Industry for Stakeholder Salience: An Investigation Through Integrated Reports

The aim of this research is to investigate the web of business-stakeholder relationships emerging from first integrated reports. Drawn from the stakeholder salience theory, the analysis focuses on some factors that may cause specific stakeholders to be crucial for some organizations and their ability to create value over time. More precisely, findings highlight the importance of industry membership, while entities’ nationality seems not to be a differentiating element. This study contributes to the corporate disclosure literature by analyzing an emerging reporting tool, the integrated report, and demonstrating that the link between some business characteristics and stakeholder salience seems fundamental for the representation of the impact of corporate social and environmental responsibilities on the economic performance. From a practical point of view, the impact of industry membership on corporate disclosures encourages the drafting of differentiated reporting standards across sectors, in order to improve comparability, materiality, and reliability of information.     

Reconciling Alternative Theories for the Safety of Owner–Operators

Motor carrier safety is an important concern of shippers, carriers, policy makers, consignees, insurance providers, and the motoring public. One aspect of carrier safety that has garnered substantial attention is whether carriers making greater use of owner–operators are more or less safe vis‐à‐vis carriers making greater use of employee drivers. Currently, conflicting theoretical predictions exist regarding the direction of this relationship. In this article, we offer a reconciliation of the alternative theoretical predictions by developing a coherent theory that merges sociological rational choice theory and theory regarding motor carrier safety. We subject our theory to empirical testing by fitting a series of seemingly unrelated regression models to a vector of safety measures tracked as part of the Federal Motor Carrier Safety Administration's Compliance, Safety, and Accountability program. Our results are consistent with our proposed theory of owner—operator safety and provide meaningful theoretical and managerial implications and directions for future research.     

Cross-Domain Effects of Ethical Leadership on Employee Family and Life Satisfaction: the Moderating Role of Family-Supportive Supervisor Behaviors

Drawing on the work–family enrichment theory, the present study investigates the cross-domain effects of ethical leadership on employees’ family and life satisfaction. Moreover, it focuses on the mediating role of work–family enrichment (WFE) and the moderated mediation process of family-supportive supervisor behaviors (FSSB) underlying the relationship between ethical leadership and employees’ family and life satisfaction. Using a sample of 371 employees and their immediate supervisors in China, we found that WFE mediated the relationship between ethical leadership and employee-rated and supervisor-rated family and life satisfaction. Moreover, FSSB positively moderated the relationship between ethical leadership and WFE, such that the relationship was strengthened when FSSB were higher. Furthermore, the mediations of WFE between ethical leadership and employee-rated and supervisor-rated family and life satisfaction were also positively moderated by FSSB, such that the indirect effects were stronger when FSSB were higher. The theoretical and managerial implications of our findings are further discussed.     

Rent Sharing and the Compensation of Head Coaches in Power Five College Football

The monopoly and monopsony power of intercollegiate sports create significant rents, but previous studies of intercollegiate football coaches’ salaries implicitly assume that coaches are paid their marginal revenue products. In a two-stage estimation, we show that coaches share in these rents. The first stage shows that several common measures of coaches’ productivity do not affect an athletic department’s variable revenue. When we include these measures in the second-stage salary equation, their impact on pay reflects bargaining power, not productivity. We also find that several measures of fixed revenue, which are independent of the coach’s performance, increase the coach’s pay.     

Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

Easing the assessment of emerging technologies in technology observatories. Findings about patterns of dissemination of emerging technologies on the internet

This paper considers the Web as a big data container that can be used by Technology Observatories and administrations to track emerging issues and more specifically emerging technologies. It considers information that is available on the Internet for free from different sources, and proposes a framework that can be useful to characterise them and to detect patterns of dissemination. This framework is made up of 30 metrics obtained from different kinds of sources (general web, patents, scholars?…). Some of them are obtained directly as the number of hits retrieved by queries on a search engine, and other ones calculated by means of ratios. This paper contains the development of a complete case that utilises this framework to characterise emerging technologies included in the well-known Hype Cycle for Emerging Technologies, in this case the 2015 release¹ and to analyze patterns of dissemination of these technologies on the Internet.     

The U-shaped relationship between happiness and age: evidence using world values survey data

The paper retests the U-shaped relationship between happiness and age using the cross-classified multilevel regression procedure and the World Values Survey data. The analysis accounts for period and cohort effects. The results reconfirm the pattern that happiness is U-shaped in the life course. That is, happiness decreases from a high-point in young adulthood, reaches a low-point in midlife, and thereafter increases to arrive at another high-point in old age. The results show that the high-point of happiness in old age is lower than the high-point of happiness in young adulthood. That happiness does not return to its initial high-point after it drops to a low-point in midlife is perhaps another stylized fact in the relationship between happiness and age.     

Pricing Defaultable Bonds Using a Lévy Jump‐Diffusion Model

This paper uses a reduced‐form approach to derive a closed‐form pricing formula for defaultable bonds. The authors specify the default hazard rate as an affine function of multiple variables which follow the Lévy jump‐diffusion processes. Because such specification allows greater flexibility in the generation of a valid probability of default, their pricing model should be more accurate than the valuation models in traditional studies, which ignore the jump effects. This paper also proposes a new method for estimating the parameters in a Lévy Jump‐diffusion process. The real data from the Taiwanese bond market are used to illustrate how their model can be applied in practical situations. The authors compare the pricing results for the influential variables with no jump effects, with jump magnitudes following the normal distribution, and with jump magnitudes following the gamma distribution. The results reveal that the predictive ability is the best for the model with the jump components. The valuation model shown in this paper should help portfolio managers more accurately price defaultable bonds and more effectively hedge their portfolio holdings.     

The Roles of HRM in CSR: Strategic Partnership or Operational Support?

As the implementation of corporate social responsibility (CSR) strategy requires promoting employee participation and initiating meaningful changes in organisational culture, the involvement of the human resource management (HRM) function in policy formulation and implementation is highly desirable. The relationship between the HRM and CSR functions is, however, under-investigated than other areas. Hence, there is a lack of clarity concerning HRM roles and the conditions under which they may be strategic or operational in nature. By drawing on data from interviews with 29 CSR and HRM professionals of large organisations in New Zealand, this paper argues that the role and contribution of the HR function in CSR is contingent on organisational variables such as the CSR structure, the scope and application of CSR and the nature of the HR functions. It concludes that in such contexts HRM is more likely to offer operational support in executing CSR rather than strategic input.