1,720,954 research outputs found
Customer Satisfaction and Customer Loyalty Towards Solar Loan of AYA Bank PCl (Khaing Zar Lin, 2025)
This study aims to examine the influencing factors customer satisfaction towards
solar loan of AYA Bank, and to analyze the effect of customer satisfaction on customer
loyalty towards solar loan of AYA Bank. This study examines how six factors- cost of
borrowing, service quality, processing time, down payment, collateral security and
documentation-collectively influence customer satisfaction. The target population is 136
active solar loan customers of AYA Bank. Using Yamane sample size formula for known
population, the sample is 101 (74% of population). The quantitative research method is
applied. The findings indicate that customer satisfaction is affected by down payments,
collateral security, and documentation. The cost of borrowing, service quality, and
processing time do not significantly affect customer satisfaction. In particular, the down
payment, collateral security, and documentation greatly affect customer satisfaction. The
primary factor that has the most influence is collateral security. These results showed that
down payments, collateral security, and documentation improved customer satisfaction.
Therefore, AYA Bank should focus on evaluating the current income of the borrower as
the primary factor to determine their ability to repay the installments of a solar loan, rather
than relying heavily on traditional collateral security. In addition, AYA Bank should
structure the down payment for solar loans in a way that makes it affordable and accessible
for a wide range of borrowers. Finally, the bank should actively collect essential documents
such as proof of income, bank statements, employment verification, and credit reports to
form a comprehensive understanding of each applicant’s financial profile
Job Satisfaction and Job Performance of Maintenance Engineers at Myanmar Airways International (MAI) ( Khaing Zar Lin, 2024)
This study aims to analyze the effect of new technology adaptation, working
environment and motivation factors on job satisfaction of maintenance engineers at MAI
and to analyze the effect of job satisfaction on job performance of maintenance engineers
at MAI. Both primary and secondary data are utilized in this study. By utilizing the Yamane
formula, the sample size 92 out of 120 maintenance engineers is calculated. In this study,
a simple random sampling method is also applied. The primary data is collected by using
online survey method. The secondary data is collected from documents and websites such
as textbooks, previous international research papers, periodical journals, relevant
documents from MAI. For data analysis, both descriptive statistics and linear regression
analysis are used to analyze the collected data. The findings highlight that there is a positive
and significant effect of new technology adaptation on job satisfaction. Efficiency,
convenience, and service effectiveness have positive and significant effects on job
satisfaction. In the analysis of the effect of working environment on job satisfaction,
relationship with co-workers and top management have positive and significant effects on
job satisfaction. In the analysis of the effect of motivation factors on job satisfaction, both
salary and promotion have positive and significant effects on job satisfaction. The job
satisfaction has a positive and significant effect on job performance in the analysis of job
satisfaction on job performance. MAI should continuously monitor the contributions of
maintenance services with regular assessments to maintain or improve the current
efficiency levels
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
- …
