A mathematical model for industrial project evaluation

Different approaches to the evaluation of alternative industrial projects range from listing of subjective factors for use as guidelines on the one hand to construction of mathematical models with quantitative objective data on the other. This paper presents the method of developing a comprehensive model with all relevant factors, both subjective and objective. The approach used here is to identify and evaluate all important objective and subjective factors on consideration of the macro-level national objectives as well as the micro-economic investment criteria for each alternative project, and to convert them into consistent and dimensionless indices which are finally combined together to yield the appropriate project measure of utility in each case for comprehensive evaluation. Thus, the model, presented here, can provide a new tool for industrial project evaluation and also for establishing priorities among projects competing for allocation of resources.     

The frequency of sexual abuse and depression in a sample of street children of one of deprived districts of Tehran

The purpose of this study was to determine the frequency of sexual abuse and depression among street children who live in a deprived district of Tehran. The researchers used the K-SADS questionnaire and a clinical interview were used to evaluate depression and sexual abuse in 87 street children in Tehran. Eighteen (20.9%) of the children had been sexually abused. Depressed children were 3.2 times more likely to be sexually abused than non-depressed children. Furthermore, 26 girls (86.7%) and 27 boys (48.2%) suffered from depression. The frequency of depression demonstrated a significant association with the father's or breadwinner's history of imprisonment or unemployment. Interventional programs providing education and support should be implemented for street children.     

Promoting the mental well-being of older people from black and minority ethnic communities in United Kingdom rural areas: Findings from an interview study

Drawing from 81 interviews with practitioners in social care and housing with care services in the United Kingdom, this paper explores practice issues in rural areas when supporting the mental health and well-being of older people from Black and minority ethnic groups. The paper begins with a review of the literature which provides evidence that BME older people are likely to be increasingly part of the populations of rural areas. Next it presents interview data revealing that while practitioners are aware of such demographic changes in general terms; some feel that they lack training and skills in adapting their professional practice to support all older people. Others express feelings of professional isolation in seeking to support older people from minority groups and are concerned that older people from minority groups may be at risk of isolation and loneliness. The paper concludes with a discussion of the study's implications for rural practice, policy and research.     

Cultures have consequences: A configural approach to leadership across two cultures

This research compares the influence of country membership and cultural values (power distance and individualism/collectivism) in a model of LMX and organizational change. The results reveal cultural differences in the relationships among LMX, consultation and affective commitment to organizational change, supporting prior studies. However, there are substantial differences in the moderation of the cultural values in the relationships among the research constructs at the individual level. Our results suggest that understanding national culture and its influence on leadership may be incomplete when we focus only on mean differences at the country level to examine cross-cultural differences. To address this concern, we offer a configural approach to examine the role of culture in a leadership model across two cultures (the U.S. and Korea).     

Enabling sustainable energy futures: factors influencing green supply chain collaboration

Abstract

To explore the relationship between sustainability strategies and future energy needs, supply chains need to reduce their CO2 emissions through developing their green credentials and improving performance. Knowledge management (KM) is an enabler to support collaboration efforts. The SCM and KM areas have largely focused on improving organisational performance. While the latter has yielded successful outcomes in different sectors, there is still a scarcity of research on identifying influential factors highlighting those aspects which may enable green supply chain collaboration (GrSCC), thus leading to sustainable energy futures and carbon-efficient production. This paper examines the role of KM in facilitating GrSCC. Through the identification of key factors extrapolated from the literature, a model for implementing GrSCC using a futures-based perspective is proposed. This paper inductively demonstrates the relationship between identified GrSCC factors through fuzzy cognitive mapping technique. Findings support a futures-based perspective that enhances understanding and refines forward-looking strategies for GrSCC.