146 research outputs found

    Impact of Brand Loyalty on Brand Extension

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    The key objective of this study is to explore the effects of different dimensions of brand loyalty towards the original brand on the evaluation of brand extensions. This was a primary research and questionnaire was distributed among 200 respondents and 183 were processed for analysis. The target respondents were the students of different universities of Islamabad and Rawalpindi, Pakistan. The scale was taken from the existing research (Hem and Iversen, 2003). SPSS was used to analyze the data. The result finds that there is positive and significant relationship between brand loyalty and brand extension. So on the bases of these results that all the hypotheses (H1, H2, H3, H4 and H5) are proved positively and significantly and affect the evaluation of brand extension. Keywords: Brand Loyalty, Brand Extension, original bran

    Equilibrium, Thermodynamics, and Kinetic Sorption Studies for the Removal of Coomassie Brilliant Blue on Wheat Bran as a Low-Cost Adsorbent

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    The sorption studies of coomassie brilliant blue (CBB) from aqueous solution have been carried out on wheat bran (WB). Coomassie brilliant blue on wheat bran was used to study the adsorption behavior under various parameters such as pH, dosage amount, and contact time. It was observed that under optimized conditions up to 95.70% dye could be removed from solution onto WB. Langmuir and Freundlich adsorption isotherms were used to elaborate the results. Freundlich model was found to be fitted well and favored multilayer adsorption. The Freundlich constants n and KF were determined as 0.53 and 2.5 × 10−4. Thermodynamic parameters such as ΔG, ΔH, and ΔS studied were taking into account, showed spontaneous and favorable reaction for coomassie brilliant blue on wheat bran. The maximum adsorption capacity qm was found to be 6.410 mg/g. The investigations show that non treated WB is a low-cost adsorbent for the removal of dyes from textile industry effluents

    Emotional Exhaustion as Stressor agent for Job Stress in Call Centers: Empirical evidence from perspective of Job Satisfaction and Turnover Intention as Work Outcomes

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    The purpose of the study is to analyze job burnout component emotional exhaustion as a probable stressor agent that causes job stress and their impact on job satisfaction and turnover intention as work outcomes. The scales were adapted from that measure to analyze the effect of emotional exhaustion causing job stress, also highlights the evidence in support of the conceptual model. Data was collected by the survey that generated 220 respondents. The sample chosen for this research are employees working in telecommunication call centers of Lahore city region in Pakistan. SPSS regression analysis was employed for data analysis. The results showed that emotional exhaustion carried negative and significant relation with job satisfaction (β= -.354,p<.05) and significant positive relation with turnover intention (β= .290, p<.05) also significant relation between dependent variables followed by mediating effect of two dimensions of job stress analyzed by PROCESS procedure of bootstrapping technique contained no and full mediation between emotional exhaustion in relation with job satisfaction and turnover intention respectively. Outcome from the conducted study depicted that stress did not affected the level of satisfaction of employees as they are well trained and informed that job stress is the part of their work activities in call centers and the stress in organizations is needed to be dealt with

    How Internship Experience Mediates Career Decision? Insight from Business Institutions

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    This research paper aims to examine business graduates’ pre-employment decisions relevant to pursue a satisfied and successful career after going through internship training. Subjects were the students who have undergone through an internship program and data was analyzed by using SPSS software. A five point Likert Scale has been used to examine the relation of dependent variable person career (PC) fit and independent variables (job attributes, PO-fit and PJ-fit).The internees degree of perceived pay, benefits, promotion as related to future growth opportunities , job location, peers’ relationship, firm’s image and job duties as major factors and key criterion to pursue a satisfied and successful career .The results also indicate that person job (PJ) fit contributes more than person organization (PO) fit towards person career (PC) fit.Offering internship programs and trainings allows employers the opportunity of exploring full time fresh graduates pool and best talent to recruit

    Identifying Optimal Parameters And Their Impact For Predicting Credit Card Defaulters Using Machine-Learning Algorithms

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    Data mining and Machine learning are the emerging technologies that are rapidly spreading in every field of life due to their beneficial aspects. The financial sector also makes use of these technologies. Many research studies regarding banking data analysis have been performed using machine learning techniques. These research studies also have many Problems as the main focus of these studies was to achieve high accuracy and some of them only perform comparative analysis of different classifier's performance. Another major drawback of these studies was that they do not identify any optimal parameters and their impact. In this research, we have identified optimal parameters. These parameters are valuable for performing the credit scoring process and might also be used to predict credit card defaulters. We also find their impact on the results. We have used feature selection and classification techniques to identify optimal parameters and their impact on credit card defaulters identification. We have introduced three classifiers which are Kstar, SMO and Multilayer perceptron and repeat the process of classification and feature selection for every classifier. First, we apply feature selection techniques to our dataset with each classifier to find out possible optimal parameters and In the next phase, we use classification to find the impact of possible optimal parameters and proved our findings. In each round of classification, we have used different parameters available in the dataset every time we include and exclude some parameters and noted the results of each run of classification with each classifier and in this way, we identify the optimal parameters and their impact on the results Whereas we also analyze the performance of classifiers. To perform this research study, we use the “credit card defaults” dataset which we obtained from UCI Machine learning online repository. We use two feature selection techniques that include ranker approach and evolutionary search method and after that, we also apply classification techniques on the dataset. This research can help to reduce the complexities of the credit scoring process. Through this study, we identify up to six optimal parameters and also find their impact on the performance of classifiers. Further We also identify that multilayer perceptron was the best performing classifier out of three. This research work can also be extended to other fields in the future where we use this mechanism to find out optimal parameters and their impact can help us to predict the  results.  &nbsp

    Understanding of the molecular genetics of benzimidazole resistance in haemonchus

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    Parasitic infestations are continuously posing enormous threats to food security and poverty alleviation. While different drugs are proposed to minimize the impact of parasite, these come with established genetic resistance. Understanding markers of genetic resistance will streamline the process of use of alternative medication as well as assessing the affect of currently applied anthelmintic. This review briefly outlines the roles of parasites in diseases and proposes the use of different genetic markers to mitigate the emerging resistance in parasite

    An overview of the trichostorngyloidea

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    Among helminthes, the trichostrongyloidea consists of most significant parasites of ruminants, which are posing significant threats to livestock productivity, health and well-being. This brief commentary provides an overview of this important group of parasite to showcase the crucial roles these play in hosts
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