Online algorithms for 1-space bounded multi dimensional bin packing and hypercube packing

In this paper, we study 1-space bounded multi-dimensional bin packing and hypercube packing. A sequence of items arrive over time, each item is a d-dimensional hyperbox (in bin packing) or hypercube (in hypercube packing), and the length of each side is no more than 1. These items must be packed without overlapping into d-dimensional hypercubes with unit length on each side. In d-dimensional space, any two dimensions i and j define a space P _ij . When an item arrives, we must pack it into an active bin immediately without any knowledge of the future items, and 90^°-rotation on any plane P _ij is allowed. The objective is to minimize the total number of bins used for packing all these items in the sequence. In the 1-space bounded variant, there is only one active bin for packing the current item. If the active bin does not have enough space to pack the item, it must be closed and a new active bin is opened. For d-dimensional bin packing, an online algorithm with competitive ratio 4 ^d is given. Moreover, we consider d-dimensional hypercube packing, and give a 2 ^d+1-competitive algorithm. These two results are the first study on 1-space bounded multi dimensional bin packing and hypercube packing.     

The Relation between Accounting Conservatism and Corporate Social Performance: An Empirical Investigation

Accounting conservatism and corporate social responsibility have received much attention in the recent literature. The current study draws upon Watts, who recognizes that one role of conservatism is to reduce the likelihood of excess wealth transfers to its stakeholder groups and Post et al., who assert that a key aspect of positive corporate social performance is the (equitable) distribution of corporate wealth. Accordingly, this study empirically investigates and finds a positive relation between conservatism and strong social performance.     

Use and misuse of levels of analysis in leadership research: An illustrative review of leader–member exchange

Prior reviews have focused on if leadership literature pays homage to levels of analysis; our purpose is to take stock of how well and in what ways levels issues are implemented in theory and hypotheses formulation, construct conceptualization, measurement, and data analysis. To illustrate these notions, we provide an in-depth review of 163 multi-level empirical leader–member exchange (LMX) and vertical dyad linkage (VDL) studies published between 1972 and 2012. Our findings indicate that the volume of multi-level studies in LMX has drastically increased recently and the majority of these studies cast theory and hypotheses at the same level. With regard to alignment of levels of theory/hypotheses with measurement and with data analyses, however, roughly one out of two published studies suffers from misalignment of levels. Most of this misalignment occurs in studies where the dyad level of analysis, a key component of LMX, is an explicit or implicit focus. We conclude with a discussion of the implications for the LMX literature, and present recommendations to guide multi-level leadership research.     

Analyzing propensity matched zero-inflated count outcomes in observational studies

Determining the effectiveness of different treatments from observational data, which are characterized by imbalance between groups due to lack of randomization, is challenging. Propensity matching is often used to rectify imbalances among prognostic variables. However, there are no guidelines on how appropriately to analyze group matched data when the outcome is a zero-inflated count. In addition, there is debate over whether to account for correlation of responses induced by matching and/or whether to adjust for variables used in generating the propensity score in the final analysis. The aim of this research is to compare covariate unadjusted and adjusted zero-inflated Poisson models that do and do not account for the correlation. A simulation study is conducted, demonstrating that it is necessary to adjust for potential residual confounding, but that accounting for correlation is less important. The methods are applied to a biomedical research data set.     

Authentic leadership and positive organizational behavior: A meso, multi-level perspective

Authentic leadership (AL) and positive organizational behavior (POB) are two important emerging approaches in the organizational sciences. To date, published work on AL and POB has been primarily leader-focused and based on individual differences. In this article, after verifying this individual-level focus via content coding of AL articles, AL and POB are explicated and integrated using a meso, multi-level perspective. Essentially, viewed in terms of multiple levels of analysis, AL promotes various multi-level “primary” criteria and outcomes of POB that, in turn, enhances various multi-level “secondary” criteria and outcomes of performance. Direct effects of AL on performance at multiple levels of analysis also are plausible. Implications for future meso perspectives on leadership theory and research in general and on AL and POB in particular are discussed.     

Cointegration and Long-Horizon Forecasting

We consider the forecasting of cointegrated variables, and we show that at long horizons nothing is lost by ignoring cointegration when forecasts are evaluated using standard multivariate forecast accuracy measures. In fact, simple univariate Box–Jenkins forecasts are just as accurate. Our results highlight a potentially important deficiency of standard forecast accuracy measures—they fail to value the maintenance of cointegrating relationships among variables—and we suggest alternatives that explicitly do so.     

On Confidence Intervals for Process Capability Indices in a One-Way Random Model

In this article, we investigated the bootstrap calibrated generalized confidence limits for process capability indices C _pk for the one-way random effect model. Also, we derived Bissell's approximation formula for the lower confidence limit using Satterthwaite's method and calculated its coverage probabilities and expected values. Then we compared it with standard bootstrap (SB) method and generalized confidence interval method. The simulation results indicate that the confidence limit obtained offers satisfactory coverage probabilities. The proposed method is illustrated with the help of simulation studies and data sets.     

Employer‐sponsored programmes for the prevention and treatment of HIV/AIDS: Recent experience from sub‐Saharan Africa

This article examines a sample of employer programmes in sub‐Saharan Africa that supplement government efforts to prevent and treat human immunodeficiency virus (HIV). Some of these programmes provide workers with in‐house education, voluntary HIV testing and antiretroviral treatment. Others rely on new forms of employment‐based group health insurance that include an HIV treatment package. In addition, some enterprises use the workplace as a platform for launching efforts into neighbouring communities to reach spouses, children, sex workers, secondary school students and others. Early evidence suggests that employer programmes maintain the health of large fractions of workers living with HIV who are served by them. They further enable enterprises to avoid productivity losses and turnover costs associated with HIV. At the same time, they take pressure off government agencies that face demands for treatment far exceeding their capacity. The article identifies features of successful employer programmes including “elite appeal”, which mobilizes community leaders and role models to deconstruct stigma, change perceptions and call for behavioural change; and “collateral linkage”, which extends the reach of HIV workplace programmes by linking them to related community concerns: e.g. alcohol abuse, malaria and domestic violence. Looking forward, the potential for expanding employer programmes as well as the restrictions associated with the limited scale of formal‐sector employment within sub‐Saharan African economies is assessed. Actions by which governments, employer associations, trade unions and international organizations can encourage further development of such programmes and extend their reach are suggested.     

Scalar properties of the transnational field of human rights: Field effects and human rights in Bahrain

Whilst a body of work exists that has engaged with and conceptualised transnational fields, and in particular for this paper, the transnational field of human rights, more work needs to be done to elaborate on the effects of transnational fields, at the national level. Using Bourdieu's field theory, and more recent scholarship that focuses on scalar aspects of fields, this research focuses on a human rights field at the national level in Bahrain. The paper addresses two levels/dimensions of the transnational field of human rights: the transnational level and the national level, focussing on the field's vertical autonomy. Based upon nineteen in-depth interviews, the research retrieves the biographical trajectories of Bahraini human rights activists and activists from iNGOs with a specific remit that includes Bahrain. The paper argues that the vertical autonomy of the transnational field of human rights has demonstrable field effects at the national level, and that this has a number of implications. First, where transnational fields have greater vertical autonomy, the national level can operate with varying hierarchies, with actors adopting practices that diverge from those acting transnationally. Second, as a result of these scalar differences and the vertical autonomy of the transnational field, actors at the national level may have to adapt their practices, others can be side-lined as a result of ‘symbolic pollution.’ Third, in order for local actors to engage with transnational advocacy networks, they must be the right type of actor.     

The KIND Program for Adolescent Family and Dating Violence

Adolescent relational violence has significant and pervasive impacts for young people's current and future relationships. It is known that there is a cross-over between adolescent family violence and other offending behaviour, meaning there is a need for youth justice systems to recognise and respond to these forms of violence. This paper outlines a pilot intervention, the KIND Program, run in Youth Justice South Australia, and aimed at intervening with adolescent family and dating violence. KIND aims to provide tailored systemic intervention to young people and their support network, reducing violence while increasing connection and strength within relationships. The pilot of KIND ran for seven months in 2017, and had eight families participating in the program. Participation in, feedback from, and impact of the program suggest that participation was worthwhile and useful for young people and their families. The KIND Program would benefit from a more extensive pilot period to explore the outcomes of this form of intervention.