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Directional Overcurrent Relay (DOCR) coordination computation allowing for desired and high level accuracy in interconnected power systems is very difficult and is a highly constraint oriented optimization problem. This paper aims to study the effectiveness of a newly reported optimization technique, Teaching Learning Based Optimization (TLBO), in protective relay coordination comparing with a widely used optimization technique, Particle Swarm Optimization (PSO).

DOCR coordination in electric power systems is considered as an optimization problem by formulating objective function and specifying problem constraints. Optimum values of the DOCR adjustment parameters (Time Dial Setting and Plug Setting) in terms of reliable coordination margin and operating times of relays are computed by both the algorithms, TLBO and PSO. Optimal coordination is verified in three test bus systems: IEEE 6-bus, WSCC 9-bus and IEEE 14-bus systems.

A comparison between the numerical results of using both the algorithms indicates that the TLBO gives better results in terms of the total operating times of relays and Coordination Time Interval (CTI).

This paper represents the performance of a newly reported optimization technique, TLBO which is till now unpopular to protection engineers to be applied in protective relay coordination applications. The technique provides better performance in comparison to the widely applied technique, PSO. It is expected that TLBO would facilitate protection engineers to decide the optimum and appropriate settings of the relays for leading exact relays coordination.

Reducing greenhouse gas emissions from fossil fuel consumption is a big challenge on the view of global warming and climate changes caused by greenhouse gases as per recent scientific reports. This paper aims to identify the major challenges of green energy sources (GES) to the future power systems and suggests an appropriate GES based on the preference by the decision maker on the various issues to meet these challenges.

The proposed work presents a multi‐criteria decision analysis (MCDA) – the analytic hierarchy process (AHP) to evaluate the GES – photovoltaic (PV), wind generator (WG), biomass (BM) and micro‐hydel (MH) and to find the appropriate selection in general, by evaluating its main operational characteristic. In this research, the choices of the green energy alternatives on the basis of various factors have been taken into consideration. MATLAB simulation of different criteria to ascertain their clear‐cut effects on GES selection under multiple uncertainties are presented.

Related articles appearing in the recently published (1995‐2010) works, based on green energy scope and practical implementations, and earlier approaches in the field of energy are gathered and analyzed so that the following questions can be answered: Which evaluating criteria are paid more attention to? Which source is the best GES? Which is the most critical factor in the green energy selection. This research not only provides the application of MCDA to evaluate the operation of the GES – PV, WG, BM and MH but also aids the researchers and decision makers in applying the approaches effectively.

This is the first analysis in the green energy selection which considers future uncertainties of the GES. Instead of focusing only on cost factor, the proposed work considers main uncertainties of the GES. The best GES will be decided based on the preference of the criterion chosen by the end‐user.

The purpose of this paper is to explore the contending role of important external inflows on the economic growth of Pakistan economy. The main purpose behind focusing on Pakistan is that it is receiving significant inflows from different international sources such as International Monetary Fund, World Bank and Asian Development Bank.

The study adopted the autoregressive distributed lag cointegration approach for the purpose of exploring the long-run cointegrating relationship among the variables. As Pakistan Government had been implementing some major liberalization policies during 1990s, data from 1976 to 2018 is used to estimate the specified models to reflect the impact of the surge of foreign inflows occurring from that time. In addition, error correction model is estimated for examining the short-run relationships.

The findings revealed the significant role played by different inflows in accelerating the economic growth. According to results, in the long run, all inflows, for example, Foreign direct investment (FDI), debt, official developdment assistance and remittances, have influenced significantly and positively the economic growth. The two control variables such as inflation and employment level included in the model have also played their expected role in the growth process. In the short run, some of the variables such as remittances, FDI and inflation rate have lost their significance level while for debt, aid and employment level, the signs of their coefficients become reversed.

Based on the findings, the study suggests the policymakers of Pakistan economy to liberalize the economy and attract more inflows from the external sources to accelerate economic growth.

To the best of the authors’ knowledge, this is the first comprehensive empirical study on the role of foreign inflows in the process of economic growth in the context of Pakistan economy.

This paper aims to examine the mediating role of environmental concern in the relationship of green purchase awareness and purchasing behavior of fast food consumers keeping in view the theory of planned behavior.

A quantitative, cross-sectional design is used by collecting primary responses through a validated questionnaire. In all, 1,008 male and female buyers of fast food were sampled. Structural equation modeling is applied.

The results revealed that green purchase awareness has a positive relationship with green purchase behavior, and environmental concern has no mediation in the relationship. Upon having awareness, the respondents adopted green or pro-environmental behavior, but at the same time, they were found having least concern for the protection of environment.

This is a cross-sectional study with questionnaire. Multiple sources of data collection results in weakening self-reporting bias.

Implications count toward individuals, enterprises and society at general.

The study highlights the issue of not having concern for the protection of the environment even after having green purchase awareness. This is the first time the environmental concern is examined as a mediator in the selected relationship. The contradictory results of having no environmental concern differentiate this study from others.

Research from Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, and Sri Lanka has received relatively less attention of management scholars. To date, there has been no major review of the content of management research in these rapidly growing economies. The purpose of this paper is to address this gap by reviewing management research in these six countries over a 25-year period from 1990 to 2014.

An electronic search of 11 databases was carried out using 53 search terms pertaining to the field of management. Only articles in journals rated A*, A, or B by the Australian Business Deans Council and either Q1 or Q2 in the Scopus/Imago ratings were included in the study. The articles were then classified as belonging to one of the divisions of the Academy of Management. Results are presented in thematic clusters, highlighting the major focus of management research in these countries.

A total of 211 articles were identified as a result of the search process. The highest number of articles (n=54) were classified under the “Public & Non-Profit.” This was the only area common to research in all six countries as represented by the selected articles. The results are reviewed from an ecological and institutional theory perspective which suggests that the various dimensions of the local environment are reflected in the type of management research emerging from these countries. The paper concludes that these countries represent “greenfield sites” in terms of research opportunities for management scholars from all over the world.

This review approach adopted in this paper is unique and represents an attempt to be as inclusive as possible without sacrificing quality. This is the first comprehensive and systematic review of management research in these six countries.

The application of synthetic dyestuffs in the dyeing and printing industries has been criticized because of the introduction of contaminants into the environment. With time, the increasing international awareness of environment and ecology preservation has led to the industry’s attention towards natural dyes and their efficient usage compared to synthetic counterparts. Because the need for “Green” goods and services are rising public awareness, this paper aims to use a banana bio-resource waste to dye cotton fabric.

Factorial design with three variables, including parts of a banana plant, combination of alkalis and application temperature at three different levels, was studied to identify a significant correlation between the effect of these variables on the colour strength and fastnesses of the dyed cotton fabrics.

Dyeing samples achieved with various parts of banana are found to offer significant colour strength and a good wash and rub fastness. Experimental design analysis helped to formulate a standard workable dyeing recipe with the minimum use of resources exhibiting reasonably good wash and rub fastness.

This dyeing technique is novel and can be found useful for partially replacing synthetic dyes with natural colourants possessing good washing and rubbing fastness.