The effect of corporate governance on sustainability disclosure

Drawing on stakeholder theory, this paper examines the relationship of board composition, leadership and structure on sustainability disclosure. We discuss that good corporate governance and sustainability disclosure can be seen as complementary mechanisms of legitimacy that companies may use to dialogue with stakeholders. Specifically we claim that, as disclosure policies emanate from the board of directors, sustainability disclosure may be a function of the board attributes: we investigate the relationship between different characteristics of the board and sustainability disclosures among US and European companies. Our results show that in order to explain the effect of board composition on sustainability disclosure we need to go beyond the narrow and traditional distinction between insider and independent directors, focusing on the specific characteristics of each director.     

Exploring the role of supervisor trust in the associations between multiple sources of relationship conflict and organizational citizenship behavior

We develop and test a model that builds directly on social exchange theory to predict different roles for supervisor trust in the relationships between organizational citizenship behavior and relationship conflict occurring between supervisors and subordinates and between peers. Specifically, we posit that the association between citizenship behavior and relationship conflict between employees and supervisors is mediated by supervisor trust, while the association between citizenship behaviors and relationship conflict occurring between peers is moderated by supervisor trust. We test our dual role for supervisor trust in a field study of 160 supervisor–employee dyads. Results support the different roles played by supervisor trust. We close by discussing the implications of our results for theory and practice in the relationship conflict and citizenship domains.     

Application of an Irt Polytomous Model for Measuring Health Related Quality of Life

Background: The Item Response Theory (IRT) has advantages for measuring Health Related Quality of Life (HRQOL) as opposed to the Classical Tests Theory (CTT). Objectives: To present the results of the application of a polytomous model based on IRT, specifically, the Rating Scale Model (RSM), to measure HRQOL with the EORTC QLQ-C30. Methods: 103 terminal cancer patients cared for by the home services of the Servicio Andaluz de Salud (Andalusian Health Service) (Andalusia, Spain) participated. These patients responded to the adapted Spanish version of the EORTC QLQ-C30. The application was carried out individually in the patients’ homes. Results: The results show that there is an adequate global fit between the data and the IRT model applied. The analysis of the items shows that for 31 of the 33 items there is a good fit. The items which measure the general perception of health and the perception of quality of life present a lack of fit. The study of the response categories of the items (by means of Category Probability Curves) indicates that all the alternatives work extremely well. Conclusions:The EORTC QLQ-C30 presents good metric qualities, under the RSM, ratifying the feasibility to measure HRQOL already shown in other studies carried out with CTT.     

Critical success factors in managing modular production design: Six company case studies in Hong Kong, China, and Singapore

Many researchers have explored the advantages of modular product design, its design methods and its effects on product performance. Modular design is, for example, required for product platform, mass customization and postponement in order to achieve greater product variety and differentiation. However, a few empirical studies explicitly examine how to coordinate modular product design in a managerial way. This paper addresses it by conducting multiple case studies with six companies which have successfully adopted modular product design for five years. Seven critical factors are explored in the management of modular product design. These are pre-defined product advantage, selectively used design rules, module definition, system integration, technological newness, internal communication, and supplier and customer involvement. While most of the literature studies the technical dimension of modular design within a firm, this study focuses on the managerial side across the supply chain. It gives new insights on how to manage modular product design and proposes future research opportunities.     

Hazards of neoliberalism: delayed electric power restoration after Hurricane Ike

This case study explores how neoliberal policies shape the impacts of a natural disaster. We investigate the reactions to major damages to the electric power system and the restoration of power in the wake of Hurricane Ike, which devastated the Houston, Texas, metropolitan area in September 2008. We argue that the neoliberal policy agenda insured a minimalist approach to the crisis and generated dissatisfaction among many residents. The short-term profitability imperative shifted reconstruction costs to consumers, and prevented efforts to upgrade the electric power infrastructure to prepare for future disasters. We illustrate the serious obstacles for disaster mitigation and recovery posed by neoliberal policies that privatize public goods and socialize private costs. Neoliberalism neither addresses the needs of a highly stratified public nor their long-term interests and safety.     

Affective and Cognitive Correlates of Gambling Behavior in University Students

The purpose of the following study was to explore certain affective and cognitive components and their relationships to gambling behavior in an undergraduate population. Specifically, the aim was to predict gambling severity using depression scores on the BDI-II, the dependency and self-criticism subscales on the DEQ, emotional awareness scores on the LEAS, cognitive flexibility scores from the STROOP, and a creativity subtests from the TTCT. Participants were 200 undergraduate students and 3.5–7.5% of individuals reported some level of problematic gambling behavior. Multiple regression analysis indicated that self-criticism and creative originality were significant predictors of gambling behavior, explaining 7.6% of the variance. Further analyses reveal a non-linear trend in the creative originality of those who gamble; only the at-risk gamblers were high in creativity whereas abstainers and problematic gamblers display similarly lower levels of creativity. Results are discussed in regards to Blaszczynski and Nower’s Addiction 97:487–499 (2002) subtypes of gambling vulnerability.     

Reviews

Book reviewed in this article: Bidge's Mob: Written and illustrated by Gaye Dell Creative Family Therapy Techniques: Play, Art, and Expressive Activities to Engage Children in Family Sessions: Editor: Liana Lowenstein Essential Skills in Family Therapy, from the first interview to termination: JoEllen Patterson, Lee Williams, Todd M. Edwards, Larry Chamow, Claudia Grauf‐Grounds Multi‐Family Therapy: Concepts and Techniques: Eia Asen, Michael Scholz     

Beyond Markowitz with multiple criteria decision aiding

The paper is about portfolio selection in a non-Markowitz way, involving uncertainty modeling in terms of a series of meaningful quantiles of probabilistic distributions. Considering the quantiles as evaluation criteria of the portfolios leads to a multiobjective optimization problem which needs to be solved using a Multiple Criteria Decision Aiding (MCDA) method. The primary method we propose for solving this problem is an Interactive Multiobjective Optimization (IMO) method based on so-called Dominance-based Rough Set Approach (DRSA). IMO-DRSA is composed of two phases: computation phase, and dialogue phase. In the computation phase, a sample of feasible portfolio solutions is calculated and presented to the Decision Maker (DM). In the dialogue phase, the DM indicates portfolio solutions which are relatively attractive in a given sample; this binary classification of sample portfolios into ‘good’ and ‘others’ is an input preference information to be analyzed using DRSA; DRSA is producing decision rules relating conditions on particular quantiles with the qualification of supporting portfolios as ‘good’; a rule that best fits the current DM’s preferences is chosen to constrain the previous multiobjective optimization in order to compute a new sample in the next computation phase; in this way, the computation phase yields a new sample including better portfolios, and the procedure loops a necessary number of times to end with the most preferred portfolio. We compare IMO-DRSA with two representative MCDA methods based on traditional preference models: value function (UTA method) and outranking relation (ELECTRE IS method). The comparison, which is of methodological nature, is illustrated by a didactic example.     

A sequential design for a clinical trial with a linear prognostic factor

We study a randomized adaptive design to assign one of the L$L$ treatments to patients who arrive sequentially by means of an urn model. At each stage n$n$, a reward is distributed between treatments. The treatment applied is rewarded according to its response, 0?_Yn?1$0?Y_n?1$, and 1-_Yn$1-Y_n$ is distributed among the other treatments according to their performance until stage n-1$n-1$. Patients can be classified in K+1$K+1$ levels and we assume that the effect of this level in the response to the treatments is linear. We study the asymptotic behavior of the design when the ordinary least square estimators are used as a measure of performance until stage n-1$n-1$.     

Recurrence in Workers' Compensation Claims: Estimates from a Multiple Spell Hazard Model

This paper estimates both single and multiple spell hazard models using a sample of workers' compensation claims (with soft tissue musculoskeletal injuries) from Ontario, Canada. Most of the results in this paper are consistent with the estimates in the existing literature. However, the duration elasticities for workers' compensation benefits and pre-injury earnings from the multiple spell hazard models are much larger than the estimates from the single spell models. This suggests that the estimates in existing literature that use single spell hazard models may underestimate the effect of benefits and pre-injury earnings on the duration of soft tissue musculoskeletal claims.