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Service Quality Measurement Models: a Comparison of Two Models

Research Article of Journal of Theoretical and Applied Economics Service Quality Measurement Models: a Comparison of Two Modelsea Asmerom A. Ghebremichael1 and Fitsum Ghebregiorgis2 1 Department of Accounting at College of Business and Economics, Department of Accounting (Previously at the University of Asmara. Now under the umbrella of the National Commission for Higher Education, Eritrea) 2 Department of Business Management and Marketing at College of Business and Economics, Department of Business Management and Marketing (Previously at the University of Asmara. Now under the umbrella of the National Commission for Higher Education, Eritrea) Purpose of this paper – This study aims to contribute to the debate in service marketing literature concerning the operationalisation of service quality measurement. To this effect, we tested two service quality measurement models by adapting them to the audit service context. These models are the gap model (SERVQUAL) developed by Parasuraman, Berry, and Zeithaml (1985) and the performance-only (SERVPERF) model developed by Cronin and Taylor (1992). Design/methodology/approach – The models are quantitatively analysed and evaluated for construct validity and predictive power using OLS models. In line with marketing literature (Gronroos 1984), service quality dimensions are classified into technical and functional dimensions. Construct validity is measured in terms of whether the technical and functional dimensions of audit service quality are significantly positively correlated with an overall measure of service quality in the audit service market. Predictive power is measured in terms of the strength of adjusted R2. Findings – The results indicate that both the performance-only model and the gap model have done quite well in predicting determinants of overall audit quality. The argument by Cronin and Taylor (1992) that the gap model has low explanatory power compared to the performance-only model did not materialise in our study. Research limitations/implications – Our results are limited by the low ...

Determinants of Mobile Phone Demand Among Residents of Central Region of Eritrea

Research Article of Journal of Theoretical and Applied Economics Determinants of Mobile Phone Demand Among Residents of Central Region of Eritrea 1Fitsum Ghebregiorgis and 2Habteab Tekie Mhreteab 1Department of Business Management and Marketing College of Business and Economics 2Department of Economics College of Business and Economics (All authors contribted equally. Arrangement of names is a matter of alphapetical order) The study endeavors to investigate the determinants of mobile phone usage (adoption) using data from Central Region in Eritrea. Data were collected by distributing questionnaire to a sample of 450 individuals selected at random using the accidental technique. A close ended questionnaire was used and the questionnaire captured individual characteristics and views on the use of mobile phone. The questionnaire was administered over a period of twelve weeks. Many and very significant conclusions are derived from this research. It has been found that the majority of respondents use the mobile phone; the main reason for having a mobile is because they want to have it; the most important reason for having a mobile phone is to easily communicate with friends or relatives; the main purpose of using mobile phone sets always are making local calls. It is also interesting to note that some respondents never used their mobile for sending text messages; perhaps this is related with the illiteracy rate in the country. The findings show that certain variables such as gender and income are important predicators of mobile usage in Eritrea. The empirical results show that age and educational level were not significant in explaining variations among mobile users. Keywords: Ownership, Mobile usage, Eritrea [rml_read_more] ...

New Challenges in Consent and Informed Consent in Society: Implantable Life-saving Medical Devices

Review Article of International Journal of Social Research New Challenges in Consent and Informed Consent in Society: Implantable Life-saving Medical Devices Dennis J. Mazur, MD, PhD Senior Scholar, Center for Ethics in Health Care, Oregon Health and Science University (OHSU), Professor of Medicine (OHSU) Because of the success of keeping people alive after a life-threatening arrhythmia, the implantable cardiac defibrillator (ICD) has become an invasive medical device posing unique challenges to patients, physicians, and healthcare personnel. This paper examines the unique societal challenges of the ICD in the context of consent and informed consent in the Great Britain, the United States, Canada, and Australia. The main societal issues in consent and informed consent regarding implantable life-saving medical devices involve the types of information (individual vs. societal) that are to drive the discussion between patient and his or her physician. Keywords: New Challenges, Consent and Informed Consent, Implantable Life-saving Medical Devices ...

Women Empowerment for Sustainable Rural Livelihoods: Voices From Kenya

Research Article of International Journal of Social Research Women Empowerment for Sustainable Rural Livelihoods: Voices From Kenyacation Susan Njogu, Dr. Doris Nyokagi, Wambu Charles Institute of Gender, Women and Development Studies, Egerton University, P.O Box 536 Egerton Rural women play a critical role in the rural economies of both developed and developing countries. In most parts of the developing world they participate in crop production and livestock care, provide food, water and fuel for their families, and engage in off-farm activities to diversify their families’ livelihoods. In addition, they carry out vital reproductive functions in caring for children, older persons and the sick. To understand the situation of rural women, it is necessary to examine the full diversity of their experiences in the context of the changing rural economy, including their position within household and community structures. A multi-stage sampling method was employed to select 136 respondents. Primary data was collected through the use of questionnaires and interview schedule and were subjected to both descriptive and inferential statistics. The mean farming experience was 11.4years, while mean farm size was 1.4ha. The main source of agricultural information was radio. Regression analysis showed that level of education, age and marital status were significantly related with level of participation. The findings conclude that women voices and level of participation is influenced by level of education, marital status and age. Therefore, the study recommends that women participation in sustainable livelihoods can only be achieved by empowering them with training and access to land in order to raise their voices in agricultural sector. Keywords: Women empowerment, Sustainability, Rural livelihoods and Women voices ...

A Logical Approach for Empirical Risk Minimization in Machine Learning for Data Stratification

Research Article of Research Journal of Mathematics and Computer Science A Logical Approach for Empirical Risk Minimization in Machine Learning for Data Stratification 1Taiwo, O. O., 2Awodele O., 3Kuyoro, S. O. 1,2,3Department of Computer Science, Babcock University, Ilishan-Remo, Ogun State, Nigeria The data-driven methods capable of understanding, mimicking and aiding the information processing tasks of Machine Learning (ML) have been applied in an increasing range over the past years in diverse areas at a very high rate, and had achieved great success in predicting and stratifying given data instances of a problem domain. There has been generalization on the performance of the classifier to be the optimal based on the existing performance benchmarks such as accuracy, speed, time to learn, number of features, comprehensibility, robustness, scalability and interpretability. However, these benchmarks alone do not guarantee the successful adoption of an algorithm for prediction and stratification since there may be an incurring risk in its adoption. Therefore, this paper aims at developing a logical approach for using Empirical Risk Minimization (ERM) technique to determine the machine learning classifier with the minimum risk function for data stratification. The generalization on the performance of optimal algorithm was tested on BayesNet, Multilayered perceptron, Projective Adaptive Resonance Theory (PART) and Logistic Model Trees algorithms based on existing performance benchmarks such as correctly classified instances, time to build, kappa statistics, sensitivity and specificity to determine the algorithms with great performances. The study showed that PART and Logistic Model Trees algorithms perform well than others. Hence, a logical approach to apply Empirical Risk Minimization technique on PART and Logistic Model Trees algorithms is shown to give a detailed procedure of determining their empirical risk function to aid the decision of choosing an algorithm to be the best fit classifier for data stratification. This therefore serves as a ...

Nutritional Status of Children and Youth in Accompanied MEC/ SESU Project of UFPE

Research Article of International Research Journal of Public Health Nutritional Status of Children and Youth in Accompanied MEC/ SESU Project of UFPE ALMEIDA C.M1, LIMA M.B2, BRAGA A.K.O2, NASCIMENTO T.G.N2, RÊGO C.M2, ANJOS F.B.R2 Faculdade São Miguel/FSM. Recife – PE, Brasil; Universidade Federal de Pernambuco/UFPE, Recife-PE, Brasil To evaluate the nutritional status of children and adolescents monitored in MEC / SESu UFPE project. Cross-sectional descriptive study in Centro de Revitalização e Revalorização da Vida, in the community of Bode, Recife / PE, from August to September 2015. A total of 35 children and adolescents and observed 18 % overweight, being higher in males (22). A high waist circumference was found in 22 % male, 8 % female. For weight / age and height / age was not found deficits nor surpluses in the sample. Keywords: Overweight; Waist circumference; nutritional status ...