Halal value creation: its role in adding value and enabling logistics service

Abstract

The need to implement halal value creation into logistics and supply chains has been recognised recently. Yet, there is a lack of efforts to leverage resources and capabilities in contributing to the halal value creation for competitive advantage and subsequently firm performance. The purpose of this paper is to understand the halal value creation of current practices and its role in adding value and enabling logistics service. A structure interview of seven third-party logistics (3PL) providers is conducted to provide more precise perception about works by viewing with the lens prescribed by practitioners rather than reviews. The results draw the novel practices of halal value creation in logistics, that have not been revealed and further identifies five emerging resources of ‘resource-based halal logistics’. These create innovation capability (ability to launch successful halal goods/services) in logistics services, which are transformed into benefits of profits for 3PLs and value for customers.     

Livelihood Assets and Vulnerability Context of Marine Park Community Development in Malaysia

This study assesses the community’s standard of living using the well-known Sustainable Livelihood Approach (SLA) as an analytical framework within the Marine Park Areas (MPAs) in Peninsular Malaysia. We focus on livelihood sustainability and environmental issues challenging MPAs. In order to protect and conserve vulnerable marine life, our efforts assess the residents’ wellbeing and identify major environmental issues associated with MPAs. The major findings of this study indicate that social and physical assets of the societies within the Marine Park Island improved with economic development, but they continue to lack in human capital, and financial and environmental assets. It is expected that this study would assist policy makers to formulate enhanced policies for conserving marine diversity as well as to improve the socio-economic status of the communities that reside therein.     

Bayesian inference for the randomly censored Burr-type XII distribution

The article presents the Bayesian inference for the parameters of randomly censored Burr-type XII distribution with proportional hazards. The joint conjugate prior of the proposed model parameters does not exist; we consider two different systems of priors for Bayesian estimation. The explicit forms of the Bayes estimators are not possible; we use Lindley's method to obtain the Bayes estimates. However, it is not possible to obtain the Bayesian credible intervals with Lindley's method; we suggest the Gibbs sampling procedure for this purpose. Numerical experiments are performed to check the properties of the different estimators. The proposed methodology is applied to a real-life data for illustrative purposes. The Bayes estimators are compared with the Maximum likelihood estimators via numerical experiments and real data analysis. The model is validated using posterior predictive simulation in order to ascertain its appropriateness.     

Economic Growth and Social Cohesion: Evidence from the Organization of Islamic Conference Countries

This study contributes in the literature by investigating the impact of social cohesion on economic growth using a panel data of 44 OIC countries over the period 1986–2010. The study has employed a comprehensive measure of social cohesion that covers a large number of social indicators such as inequality, trust, terrorism, and social conflicts. Our study finds out that the growth effect of social cohesion is positive and significant in the Muslim world. Finding of the study are shown to be robust to different control variables, different specifications, econometric techniques and outliers.     

Progressive Variance Control Charts for Monitoring Process Dispersion

In a process, the deviation from location or scale parameters affects the quality of the process and waste resources. So it is essential to monitor such processes for possible changes due to any assignable causes. Control charts are the most famous tool used to meet this intention. It is useless to monitor process location until the assurance that process dispersion is in-control. This study proposes some new two-sided memory control charts named as progressive variance (PV) control charts which are based on sample variance to monitor changes in process dispersion assuming normality of quality characteristic to be monitored. Simulation studies are made, and an example is discussed to evaluate the performance of the proposed charts. The comparison of the proposed chart is made with exponentially weighted moving average- and cumulative sum-type charts for process dispersion. The study shows that performance of the proposed charts are uniformly better than its competitors for detecting positive shifts while for detecting negative shift in the variance their performance is better for small shifts and reasonably good for moderated shifts.     

An Explicit Distribution to Model the Proportion of Heating Degree Day and Cooling Degree Day

With a view to estimating the energy consumption, we derive the explicit distribution of the proportion X/(X + Y) when X and Y follow the new Bivariate Affine-Linear Exponential distribution. An application of this distribution to model the proportion of heating using the heating degree day and the cooling degree day data in the State of Alabama for Appalachian Mountain is provided. Using intensive computations based on R-program, tabulation of some quantiles associated with this particular distribution of proportion is also provided, which is quite useful in estimating the proportion of energy required to heat a building.     

Attachment Relationships and Psychological Adjustment of Married Adults

The present study explored relations among remembered parental (paternal and maternal) acceptance in childhood, spouse acceptance and psychological adjustment of adults. It also explored whether remembered childhood experiences of parental acceptance mediate the relation between perceived spouse acceptance and psychological adjustment. The sample consisted of 354 married adult men (178) and women (176). Results showed that the more accepting both men and women perceived their spouses to be, the better was their psychological adjustment. Similarly, the more accepting both men and women remembered their parents had been to them during childhood, the better was their psychological adjustment. Standard multiple regression analyses revealed that paternal acceptance mediated the relation between perceived spouse acceptance and the psychological adjustment of both men and women. In addition, remembered maternal acceptance mediated the relation between men’s (but not women’s) perceived spouse acceptance and psychological adjustment.     

A Note On Beta Inverse-Weibull Distribution

The inverse Weibull distribution is one of the widely applied distribution for problems in reliability theory. In this article, we introduce a generalization—referred to as the Beta Inverse-Weibull distribution—generated from the logit of a beta random variable. We provide a comprehensive treatment of the mathematical properties of the Beta Inverse-Weibull distribution. The shapes of the corresponding probability density function and the hazard rate function have been obtained and graphical illustrations have been given. The distribution is found to be unimodal. Results for the non central moments are obtained. The relationship between the parameters and the mean, variance, skewness, and kurtosis are provided. The method of maximum likelihood is proposed for estimating the model parameters. We hope that this generalization will attract wider applicability to the problems in reliability theory and mechanical engineering.     

Optimal designing of skip-lot sampling plan of type SkSP-2 with group acceptance sampling plan as reference plan under Burr-type XII distribution

In this paper, skip-lot sampling plan of type SkSP-2 with group acceptance sampling plans is proposed when the lifetime of the product follows the Burr-type XII distributions. The optimal parameters of the proposed plan are determined when two points on operating characteristics curve namely acceptable quality level and limiting quality level and the number of testers are specified. We also considered the Burr-type XII distribution to find the plan parameters. Several tables are given for practical use. We compare the results of proposed plan with the existing plans. Results are explained using real-world examples.