Organisational consequences of asymmetries in task dependence: the moderating role of HR practices

This study integrates recent advances in interdependence theory with the literature on commitment‐based HR practices. New research on interdependence theory suggests that differences, or asymmetries, in task dependence among organisational members can cause interests to diverge. Prior research has shown that this can negatively affect interpersonal relations, individual outcomes and team processes. However, these insights gained on the dyadic, individual and team levels of analysis have not yet been explored at the organisational level and, until now, no research had yet connected these advances in interdependence theory to the field of HRM research. Hence, the current study investigates (a) whether asymmetries in task dependence do (or do not) matter at the organisational level and affect organisational effectiveness, (b) why this relationship may work by assessing a key mediator, namely, trust climate and (c) if and how these relationships can be altered by commitment‐based HR practices. Our moderated‐mediation model was tested and fully supported by a multi‐source data set of 8,390 employees from 67 organisations.     

Who's the Boss at the Top? A Micro‐Level Analysis of Director Expertise,Status and Conformity Within Boards

In this paper we address how director expertise impacts a director's social status and conformity within the board. Our results, derived from two unique multi‐source datasets of peer ratings on director status and conformity of non‐executive directors from Dutch organizations, indicate that industry‐specific expertise and financial expertise differently impact directors’ social status and influence within the board. We find that directors’ individual performance orientation – the motivation to demonstrate expertise – acts as an important contingency for expertise to increase directors’ status within the board. Additional analyses using archival data and interviews with non‐executive directors substantiate our findings and provide additional insight into the dynamics operating within boards. This study extends existing research on boards of directors and provides unique micro‐level insights into the boardroom dynamics that connect director expertise to director status and conformity within boards.     

Some general points on the $$I^2$$-measure of heterogeneity in meta-analysis

Meta-analysis has developed to be a most important tool in evaluation research. Heterogeneity is an issue that is present in almost any meta-analysis. However, the magnitude of heterogeneity differs across meta-analyses. In this respect, Higgins’ \(I^2\) has emerged to be one of the most used and, potentially, one of the most useful measures as it provides quantification of the amount of heterogeneity involved in a given meta-analysis. Higgins’ \(I^2\) is conventionally interpreted, in the sense of a variance component analysis, as the proportion of total variance due to heterogeneity. However, this interpretation is not entirely justified as the second part involved in defining the total variation, usually denoted as \(s^2\), is not an average of the study-specific variances, but in fact some other function of the study-specific variances. We show that \(s^2\) is asymptotically identical to the harmonic mean of the study-specific variances and, for any number of studies, is at least as large as the harmonic mean with the inequality being sharp if all study-specific variances agree. This justifies, from our point of view, the interpretation of explained variance, at least for meta-analyses with larger number of component studies or small variation in study-specific variances. These points are illustrated by a number of empirical meta-analyses as well as simulation work.     

Franchisee leadership traits vs. manager leadership traits an exploratory study comparing hope, leadership, commitment and service quality delivery

In order to add to the understanding of the role of franchising in entrepreneurship and to help franchise systems improve efficiency, the constructs of organizational leadership, hope, organizational commitment, and service quality perceptions of franchised managers and franchisees are differentiated in the current study. For scholars and practitioners, the dynamic relationship between entrepreneurship, franchisees, and management is an important triangle which merits further investigation. While the results offered only that managers and franchisees differed statistically in service empathy, differences were noted across all areas which approached significance but was limited due to the small sample size. Implications for future research are discussed.     

Donor advised funds: Ethical issues on the new frontier of philanthropy

This paper analyzes critical ethical and legal issues related to the administration and use of Donor Advised Funds for charitable fundraising in American philanthropy. With the swift and profound reshaping of the philanthropic landscape caused by Donor Advised Funds, the mainstream charitable world continues to both digest how these changes affect their work and address the myriad of legal, ethical and donor/public relations issues that arise in connection with gifts to and distributions from them. This paper discusses the most relevant legal and ethical principles governing the sponsorship of, receipt from and contribution to Donor Advised Funds, sets forth the significant legal and ethical issues faced by each of these parties, and finally, puts forth recommendation for them to follow.     

Diagnosing housing fever with an econometric thermometer

Housing fever is a popular term to describe an overheated housing market or housing price bubble. Like other financial asset bubbles, housing fever can inflict harm on the real economy, as indeed the U.S. housing bubble did in the period following 2006 leading up to the general financial crisis and great recession. One contribution that econometricians can make to minimize the harm created by a housing bubble is to provide a quantitative “thermometer” for diagnosing ongoing housing fever. Early diagnosis can enable prompt and effective policy action that reduces long-term damage to the real economy. This paper provides a selective review of the relevant literature on econometric methods for identifying housing bubbles together with some new methods of research and an empirical application. We first present a technical definition of a housing bubble that facilitates empirical work and discuss significant difficulties encountered in practical work and the solutions that have been proposed in the past literature. A major challenge in all econometric identification procedures is to assess prices in relation to fundamentals, which requires measurement of fundamentals. One solution to address this challenge is to estimate the fundamental component from an underlying structural relationship involving measurable variables. A second aim of the paper is to improve the estimation accuracy of fundamentals by means of an easy-to-implement reduced-form approach. Since many of the relevant variables that determine fundamentals are nonstationary and interdependent we use the endogenous instrumental variable based method (IVX) to estimate the reduced-form model to reduce the finite sample bias which arises from highly persistent regressors and endogeneity. The recursive evolving test proposed by Phillips, Shi, and Yu (PSY) is applied to the estimated nonfundamental component for the identification of speculative bubbles. The new bubble test developed here is referred to as PSY-IVX. An empirical application to the eight Australian capital city housing markets over the period 1999–2017 shows that bubble testing results are sensitive to different ways of controlling for fundamentals and highlights the importance of accurate estimation of these housing market fundamentals.     

Model selection in random effects models for directed graphs using approximated Bayes factors

With the development of an MCMC algorithm, Bayesian model selection for the p ₂ model for directed graphs has become possible. This paper presents an empirical exploration in using approximate Bayes factors for model selection. For a social network of Dutch secondary school pupils from different ethnic backgrounds it is investigated whether pupils report that they receive more emotional support from within their own ethnic group. Approximated Bayes factors seem to work, but considerable margins of error have to be reckoned with.     

Grades as incentives

This paper examines how grade incentives affect student learning across a variety of courses at two universities, using for identification the discrete rewards offered by the standard A–F letter-grade system. We develop and test five predictions about the provision of study effort and the distribution of numerical course averages in the presence of the thresholds that separate these discrete rewards. Surprisingly, all are rejected in our data. There is no evidence that exam performance is improved for those students that stand to gain the most from additional study.     

The Macroeconomic Consequences of Financing Health Insurance

Employer-financed health insurance systems like those used in the United States distort firms’ labor demand and adversely affect the economy. Since such costs vary with employment rather than hours worked, firms have an incentive to increase output by increasing worker hours rather than employment. Given that the returns to employment exceed the returns to hours worked, this results in lower levels of employment and output. In this paper, we construct a heterogeneous agent general equilibrium model where individuals differ with respect to their productivity and employment opportunities. Calibrating the model to the U.S. economy, we generate steady state results for several alternative models for financing health insurance: one in which health insurance is financed primarily through employer contributions that vary with employment, a second where insurance is funded through a non-distortionary, lump-sum tax, and a third where insurance is funded by a payroll tax. We measure the effects of each of the alternatives on output, employment, hours worked, and wages.