Effects of service quality on satisfaction in Eastern University Library, Bangladesh

IFLA Journal ◽  
2020 ◽  
pp. 034003522095909
Author(s):  
Md Jahangir Alam
Keyword(s):  
Regression Analysis ◽  
Service Quality ◽  
Regression Model ◽  
User Satisfaction ◽  
Reliability And Validity ◽  
Library Service ◽  
Postgraduate Students ◽  
Five Dimensions ◽  
Independent Variables ◽  
University Library

This study evaluated the effects of SERVQUAL dimensions on user satisfaction at Eastern University Library, Bangladesh. A modified SERVQUAL instrument was adapted to the local arrangements and included 30 statements under five dimensions with a seven-point Likert scale for evaluating the effects of library service quality on user satisfaction. A survey was conducted among 51 teachers and 163 undergraduate and 38 postgraduate students. The effects of five SERVQUAL dimensions were computed through multiple regression analysis, where the five dimensions were used as independent variables and user satisfaction was used as the dependent variable. The regression model was established as significant ( p < 0.001) and explained the 56.9% variation in user satisfaction. The results recommended that tangible facilities ( p < 0.001), staff responsiveness ( p < 0.001) and the resources ( p < 0.004) of the library significantly influenced user satisfaction. Several statistical methods supported the reliability and validity of the model, which will prompt further research on service quality and its impact on user satisfaction in academic libraries.

scholarly journals National Zakat Management Information System: E-Sercive Quality and Its Impact on National Zakat Collection

2019 ◽  
pp. 98-124
Author(s):  
Randi Swandaru
Keyword(s):  
Information System ◽  
Regression Analysis ◽  
Service Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Management Information System ◽  
Reliability And Validity ◽  
Management Information ◽  
The Impact

The purpose of this study is to examine the impact and the electronic service quality of the national zakat management information system (SIMBA) on the national zakat collection. This paper uses a multiple regression analysis in its explorative attempt to illustrate the impact of SIMBA implementation on the national zakat collection. It shows that SIMBA is positive and significantly impact the national zakat collection as well as the human development index that is used as a proxy for the human resource management quality of zakat institutions in the respective city. Nonetheless, the population is negative and significant to the zakat collection as endemic poverty and reluctance to pay zakat are indicated as the reasons. Moreover, this study has succeeded in adapting and conducting e-service quality survey to zakat information system realm. All the tests prove that the instrument in this study has a high degree of reliability and validity. The results show that some of the demographic factors significantly impact the perceived performance of SIMBA. Multiple regression analysis that is conducted in this study shows that e-service quality dimension is positive and significant towards SIMBA’ overall quality, perceived value, and loyalty intention. This study contributes to the zakat management system literature, especially in the impact of the national zakat information system, which is pivotal in enhancing zakat collection and poverty alleviation program funded by zakat.

scholarly journals Estimation of Regression Parameters from Noise Multiplied Data

2013 ◽  
Vol 4 (2) ◽  
Author(s):  
Yan-Xia Lin ◽  
Phillip Wise
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Real Life ◽  
Simulation Studies ◽  
Independent Variables ◽  
Multiplicative Noises ◽  
Life Data ◽  
Regression Parameters ◽  
Data Application ◽  
Real Life Data

This paper considers the scenario that all data entries in a confidentialised unit record file were masked by multiplicative noises, regardless of whether unit records are sensitive or not and regardless of whether the masked variables are dependent or independent variables in the underlying regression analysis. A technique is introduced in this paper to show how to estimate parameters in a regression model, which is originally fitted by unmasked data, based on masked data. Several simulation studies and a real-life data application are presented.

The Regression Model of Regionalism: A Critique

1972 ◽  
Vol 5 (2) ◽  
pp. 291-297 ◽  
Author(s):  
N. H. Chi
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Regional Differences ◽  
Independent Variables

No matter how one interprets Professor Irvine's model (X-form or Z-form), its validity is dubious. This derives not only from his misuse of regression analysis but also from his tendency to generalize beyond his data and his model. For instance, I cannot see how he deduces from his model that “regionalism can occur in three guises: (1) persistence of historical effects but response to a common stimulus in different regions; (2) different degrees of response to the same predominant stimulus or cleavage in each region; (3) response to quite different stimuli in each region” (p. 24). What are the stimuli? What is the “predominant” one? What are the “responses”? What does he mean by “degrees of response”? From one dependent variable (“bilingualism”) and three independent variables (integration, income, population) he comes up with a totally different set of S-R variables at the end of his analysis. With some reservation, I can see only one stimulus – bilingualism – which is the dependent variable arbitrarily chosen to study regional differences.

scholarly journals The Effect of Phase on Paper Thickness Optimization in the Paper Recycling Process Using Recycling Machine

2020 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Fauzhia Rahmasari
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Multiple Linear Regression Model ◽  
Thickness Optimization ◽  
Recycling Process ◽  
Paper Recycling ◽  
Independent Variables ◽  
The Relationship

AbstractEfforts to manage the recycling of paper waste into new paper have been carried out in recent times. It takes a tool or machine that is able to effectively and efficiently recycle used paper into new paper. There are several factors that affect the effectiveness of paper recycling machines, one of which is the paper thickness. One method that can be used to analyze the factors that influence paper thickness in the paper production process using a paper recycling machine is regression analysis. Regression analysis is data analysis techniques in statistics that is used to examine the relationship between several independent variables and dependent variable. However, if we want to examine the relationship or effect of two or more independent variables on a dependent variable, the regression model used is a multiple linear regression model. This study purposes are to analyze the factors that influence paper thickness using a paper recycling machine using multiple linear regression and to inform the modeling about that. The results showed that the factors that affect the paper thickness optimization are destruction and press phase. AbstractUpaya pengelolaan daur ulang sampah kertas menjadi kertas baru telah banyak dilakukan pada jaman sekarang. Dibutuhkan suatu alat atau mesin yang mampu secara efektif dan efisien dalam mendaur ulang kertas bekas menjadi kertas baru. Terdapat beberapa faktor yang mempengaruhi tingkat efektifitas mesin daur ulang kertas diantaranya adalah ketebalan kertas. Salah satu metode yang dapat digunakan untuk menganalisis faktor-faktor yang mempengaruhi ketebalan kertas pada proses produksi kertas menggunakan mesin daur ulang kertas adalah analisis regresi. Analisis regresi merupakan teknik analisis data dalam statistika yang digunakan untuk mengkaji hubungan antara beberapa variabel bebas dengan variabel tidak bebas. Namun, jika ingin mengkaji hubungan atau pengaruh dua atau lebih variabel bebas terhadap satu variabel tidak bebas, maka model regresi yang digunakan adalah model regresi linier berganda. Tujuan dalam penelitian ini yaitu menganalisis faktor-faktor yang mempengaruhi ketebalan kertas menggunakan mesin daur ulang kertas menggunakan regresi linier berganda serta memberikan informasi pemodelan mengenai hal tersebut. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi keoptimalan ketebalan kertas adalah fase penghancuran dan pemadatan kertas

scholarly journals PENGARUH SANKSI, KESADARAN PERPAJAKAN DAN KUALITAS PELAYANAN TERHADAP KEPATUHAN WAJIB PAJAK BUMI DAN BANGUNAN DI KABUPATEN KERINCI

2020 ◽  
Vol 5 (2) ◽  
pp. 252
Author(s):  
Vivi Herlina
Keyword(s):  
Regression Analysis ◽  
Service Quality ◽  
Hypothesis Testing ◽  
Multiple Regression Analysis ◽  
Property Tax ◽  
Tax Compliance ◽  
Analysis Method ◽  
Independent Variables ◽  
Result Analysis

<p><em>Tax is very useful for the development of a county. This study aimed to determine the Effect of Sanctions, Tax Awareness and Quality of Taxpayer Services on Property Tax Compliance, the case studies Kab. Kerinci. The number of samples determined was 128 respondents. The independent variables were sanctions, tax awareness and service quality of taxpayers and the dependent variable was Property tax compliance. The analysis method used multiple regression analysis, including determination coefficient and hypothesis testing. The result analysis shows that Sanctions variable affects the taxpayer compliance by 0.421 (42.1%), Tax Awareness affects the taxpayer Compliance by 0.195 (19.0%), and the Quality of Taxpayer Services has an influence magnitude of 0.250 (25.0 %).</em></p><p> </p><p>Pajak sangat berguna bagi pembangunan suatu daerah. Penelitian ini bertujuan untuk mengetahui Pengaruh Sanksi, Kesadaran Perpajakan dan Kualitas Pelayanan Wajib Pajak Terhadap Kepatuhan Wajib Pajak Bumi dan Bangunan khususnya pada daerah Kab. Kerinci. Jumlah sampel yang ditetapkan sebanyak 128 responden. Sebagai variabel independen, yaitu sanksi, kesadaran perpajakan dan kualitas pelayanan wajib pajak. Selanjutnya, variabel dependennya adalah kepatuhan Wajib Pajak Bumi dan Bangunan. Metode analisis yang digunakan adalah analisis regeresi linier berganda meliputi, koefisien determinasi dan pengujian hipotesis. Dari hasil analisis dapat diketahui bahwa variabel Sanksi mempengaruhi Kepatuhan Wajib Pajak Bumi dan Bangunan sebesar 0,421 (42.1%), Kesadaran Perpajakan mempengaruhi Kepatuhan Wajib Pajak Bumi dan Bangunan sebesar 0,195 (19.0%), dan Kualitas Pelayanan Wajib Pajak memiliki besaran pengaruh sebesar 0,250 (25.0%).</p>

scholarly journals Service Quality Dimensions and Customer Satisfaction in online shopping: A customer’s perspective

2020 ◽  
Vol 4 (1) ◽  
pp. 53-76
Author(s):  
Amna Khan ◽  
Syed Sohaib Zubair ◽  
Sobia Khurram ◽  
Mukaram Ali Khan
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Quantitative Research ◽  
Online Shopping ◽  
Reliability And Validity ◽  
Research Strategy ◽  
Path Coefficient ◽  
Five Dimensions ◽  
Quality Dimensions ◽  
Service Quality Dimensions

With the expansion of e-commerce, E-Service Quality is becoming increasingly important. The study aims to investigate the relationship between e-service quality dimensions and customer satisfaction in B2C online shopping in Pakistan emphasizing the customer’s perspective. A total of five dimensions of e-service quality have been tested with endogenous variable i.e. customer satisfaction. Using a quantitative research strategy, data from 225 participants was collected using online questionnaires where 88% of the respondents already had the experience of online shopping that made a valid sample of 199. Smart PLS was used to conduct the data analysis. Following reliability and validity analysis, out of all five dimensions, reliability showed the strongest path coefficient of 0.323. Results also show that all the five hypotheses were supported except for responsiveness. As far as implications of the study are concerned, online shopping stores should devote valuable resource to enhance the significant e-service quality attributes that are emphasized by this study. Moreover, E-Services are becoming increasingly important in B2C e-commerce for improving customer relations and increasing sales and developing countries are of no exception to it. Lastly, as the study is conducted in Pakistani context, generalizability to other countries particularly outside South Asia may be limited due to difference in customers’ shopping behaviours and attitudes.

Sign in / Sign up

Export Citation Format

Share Document