Yaşar University

About: Yaşar University is a(n) education organization based out in Izmir, Turkey. It is known for research contribution in the topic(s): Exergy & Job shop scheduling. The organization has 760 authors who have published 1436 publication(s) receiving 20813 citation(s). The organization is also known as: Yaşar Üniversitesi.

Measuring Corporate Social Responsibility: A Scale Development Study

Abstract: Corporate social responsibility (CSR) is one of the most prominent concepts in the literature and, in short, indicates the positive impacts of businesses on their stakeholders. Despite the growing body of literature on this concept, the measurement of CSR is still problematic. Although the literature provides several methods for measuring corporate social activities, almost all of them have some limitations. The purpose of this study is to provide an original, valid, and reliable measure of CSR reflecting the responsibilities of a business to various stakeholders. Based on a proposed conceptual framework of CSR, a scale was developed through a systematic scale development process. In the study, exploratory factor analysis was conducted to determine the underlying factorial structure of the scale. Data was collected from 269 business professionals working in Turkey. The results of the analysis provided a four-dimensional structure of CSR, including CSR to social and nonsocial stakeholders, employees, customers, and government.

Differential evolution algorithm with ensemble of parameters and mutation strategies

Abstract: Differential evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive to the choice of the mutation strategy and associated control parameters. Thus, to obtain optimal performance, time-consuming parameter tuning is necessary. Different mutation strategies with different parameter settings can be appropriate during different stages of the evolution. In this paper, we propose to employ an ensemble of mutation strategies and control parameters with the DE (EPSDE). In EPSDE, a pool of distinct mutation strategies along with a pool of values for each control parameter coexists throughout the evolution process and competes to produce offspring. The performance of EPSDE is evaluated on a set of bound-constrained problems and is compared with conventional DE and several state-of-the-art parameter adaptive DE variants.

How Corporate Social Responsibility Influences Organizational Commitment

Abstract: A growing number of studies have investigated the various dimensions of corporate social responsibility (CSR) in the literature. However, relatively few studies have considered its impacts on employees. The purpose of this study is to analyze how CSR affects the organizational commitment of employees based on the social identity theory (SIT). The proposed model was tested on a sample of 269 business professionals working in Turkey. The findings of the study revealed that CSR to social and non-social stakeholders, employees, and customers were the significant predictors of organizational commitment. However, there was no link between CSR to government and the commitment level of employees.

Which factors affect entrepreneurial intention of university students

Abstract: – Fostering entrepreneurship needs a twofold policy that should focus on both the current situation and future prospect of entrepreneurship. Although many scholars and policy makers devote their attention to the first foci of issue, it is equally important to map out the future context of entrepreneurship. The purpose of this paper is to fill this void by analysing the impacts of some contextual factors on entrepreneurial intention of university students., – In the study, a model was proposed and empirically tested on a sample of 300 university students in Turkey. The entrepreneurial support model (ESM) considers predominantly the impact of contextual factors on entrepreneurial intention. In the model, entrepreneurial intention is taken as a function of educational, relational, and structural supports., – The results of the survey showed that educational and structural support factors affect the entrepreneurial intention of students., – The paper contributes to the literature by theorizing and empirically testing how some factors affect the entrepreneurial intention of university students. Although the study is subject to some limitations, it is believed that these limitations can be overcome with further studies., – The results of the study may have valuable implications for the policy makers and educators., – Since today's youth are the potential entrepreneurs of the future, understanding their perception about contextual factors can be a contribution to the development of the literature and an important step in designing a more effective policy mechanism.

A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem

Abstract: In this paper, a discrete artificial bee colony (DABC) algorithm is proposed to solve the lot-streaming flow shop scheduling problem with the criterion of total weighted earliness and tardiness penalties under both the idling and no-idling cases. Unlike the original ABC algorithm, the proposed DABC algorithm represents a food source as a discrete job permutation and applies discrete operators to generate new neighboring food sources for the employed bees, onlookers and scouts. An efficient initialization scheme, which is based on the earliest due date (EDD), the smallest slack time on the last machine (LSL) and the smallest overall slack time (OSL) rules, is presented to construct the initial population with certain quality and diversity. In addition, a self adaptive strategy for generating neighboring food sources based on insert and swap operators is developed to enable the DABC algorithm to work on discrete/combinatorial spaces. Furthermore, a simple but effective local search approach is embedded in the proposed DABC algorithm to enhance the local intensification capability. Through the analysis of experimental results, the highly effective performance of the proposed DABC algorithm is shown against the best performing algorithms from the literature.