Diagnosis Aids in Multivariate Multiple Linear Regression Profiles Monitoring

Diagnosis aids in addition to detecting the out-of-control state is an important issue in multivariate multiple linear regression profiles monitoring; because a large number of parameters and profiles in this structure are involved. In this paper, we specifically concentrate on identification of profile(s) and parameter(s) which have changed during the process in multivariate multiple linear regression profiles structure in Phase II. We demonstrate the effectiveness of our proposed approaches through Monte Carlo simulations and a real case study in terms of accuracy percent.     

An Optimality Probability Index for Correlated Multiple Responses

In the real problems, there are many cases which have correlated quality characteristics so multiple response optimization can be more realistic if we can consider correlation structure of responses. In this study we propose a new method which uses multivariate normal probability to find the optimal treatment in an experimental design. Moreover, a heuristic method is used to find better factors’ level in all possible combinations in the designs with large number of controllable factors and their levels. Some simulated numerical examples and a real case were studied by the proposed approach and the comparison of the results with previous methods show efficiency of the proposed method.     

Implementation of Equity in Resource Allocation for Regional Earthquake Risk Mitigation Using Two‐Stage Stochastic Programming

This article presents a new methodology to implement the concept of equity in regional earthquake risk mitigation programs using an optimization framework. It presents a framework that could be used by decisionmakers (government and authorities) to structure budget allocation strategy toward different seismic risk mitigation measures, i.e., structural retrofitting for different building structural types in different locations and planning horizons. A two‐stage stochastic model is developed here to seek optimal mitigation measures based on minimizing mitigation expenditures, reconstruction expenditures, and especially large losses in highly seismically active countries. To consider fairness in the distribution of financial resources among different groups of people, the equity concept is incorporated using constraints in model formulation. These constraints limit inequity to the user‐defined level to achieve the equity‐efficiency tradeoff in the decision‐making process. To present practical application of the proposed model, it is applied to a pilot area in Tehran, the capital city of Iran. Building stocks, structural vulnerability functions, and regional seismic hazard characteristics are incorporated to compile a probabilistic seismic risk model for the pilot area. Results illustrate the variation of mitigation expenditures by location and structural type for buildings. These expenditures are sensitive to the amount of available budget and equity consideration for the constant risk aversion. Most significantly, equity is more easily achieved if the budget is unlimited. Conversely, increasing equity where the budget is limited decreases the efficiency. The risk‐return tradeoff, equity‐reconstruction expenditures tradeoff, and variation of per‐capita expected earthquake loss in different income classes are also presented.     

Effect of green innovation on job satisfaction of electronic and electrical manufacturers’ employees through job intensity: personal innovativeness as moderator

Green innovation is currently receiving increased international attention as a result of the growing concern on natural resource degradation and environmental pollution among consumers, governments, and communities in general. Although previous studies have indicated the positive effects of green innovation on the performance of manufacturing firms, practicing green innovation may conflict with job satisfaction, which in turn could negatively impact the performance of firms. This study examines job intensity to investigate the effects of green product and process innovation on job satisfaction. In addition, the moderating effect of personal innovativeness is investigated. Data from a survey of 191 respondents in the Malaysian electronic and electrical (E&E) manufacturing firms were analysed using partial least squares technique. Results showed that green product and process innovation have a positive direct effect on job intensity and a negative indirect effect on job satisfaction through job intensity. Personal innovativeness negatively moderates the relationship between green process innovation and job intensity. Theoretical and practical contributions of this study are discussed as well.     

Localising Social Work: Lessons Learnt from a Community Based Intervention amongst the Bedouin in Jordan

This paper presents an example of local social work practice in Jordan in the health field. It draws on a research study on Bedouin health in the North Eastern Badia. The project developed, implemented and evaluated a training intervention developed in partnership with a range of providers for improving local social work practice. Evaluation methods used included a pre and post test, focus group discussions and students' field notes. Findings revealed the significance of promoting culturally competent practice to respond to local health and social needs. Students and practice assessors agreed that the training interventions were an effective way to implement theory into local practice in relation to Bedouin society. This training intervention is an example of developing local social work practice as a way of responding critically to social inequalities.     

The Effect of Activating Metacognitive Strategies on the Listening Performance and Metacognitive Awareness of EFL Students

This study investigates the effect of activating metacognitive strategies on the listening performance of English as a foreign language (EFL) university students and explores the impact of such strategies on their metacognitive awareness of the listening task. The participants were N = 50 students of English literature at the state university of Qom, Iran. After screening the participants from among 60 students, they were randomly assigned to the experimental and control groups. The experimental group (n = 25) received the metacognitive strategy instruction based on the models proposed by Vandergrift and Tafaghodtari (2010), while the control group (n = 25) received just the listening input with no strategy instruction. The listening module of the International English Language Testing System (IELTS) was utilized to evaluate the listening performance of the participants in both groups in pretests and posttests, and the Metacognitive Awareness Listening Questionnaire (MALQ) instrument was applied to measure the metacognitive awareness of the treatment group before and after the treatment. The results of the IELTS test revealed that the experimental group significantly outperformed the control group on the posttest and according to the analysis of the MALQ instrument there was a significant improvement in the students’ level of metacognitive awareness after strategy instruction. The interview results in the discussion section also supported the findings and shed more light on the details.     

An exploratory study of subjective well-being in organizations–A mixed method research approach

ABSTRACT

Subjective well-being (SWB) has been widely found to have a profound impact on the individual, yet the process of its occurrence in public organizations remains unexplored. So the primary purpose of this paper is to explore the determining factors affecting the process of employee’s subjective well-being in public organizations using mixed methods research. Qualitative analysis using the grounded theory methodology reveals the effective factors that affect the process of employee’s subjective well-being in public organizations. Quantitative hypotheses are then developed based on a qualitative investigation. Survey data were collected from employees of public organizations in one of the provinces of Iran. Analysis of Moment Structure is used for data analysis. The results of the research revealed that both individual and organizational factors (as causal factors) influence the employees’ subjective well-being process (life satisfaction and positive affect). This phenomenon leads to the use of strategies which are affected by intervening and contextual factors. The consequences of this process are to change the attitude and behavior of individuals and improve the efficiency and effectiveness of the organization. This paper is among the first known to examine subjective well-being in public organizations using mixed methods research. The mixed methods approach offers a better insight to understanding effective factors affecting subjective well-being compared to the use of either a qualitative or quantitative method alone.     

The utility of experimental design short courses?

This paper describes the one‐day introduction to experimental design training course at GlaxoSmithKline. In particular, the use of paper helicopter experiments has been an effective and efficient method for teaching experimental design techniques to scientific and other staff. A good supporting strategy by which the statistics department provides back‐up following the course is essential. Copyright © 2002 John Wiley & Sons, Ltd.