1,720,954 research outputs found
Information System Adoption's Impact on Supply chain Performance: A Regression Analysis at PT. XYZ
Get PDFCurrently, technological advancements are accelerating, leading to intense business competition among
entrepreneurs. Entrepreneurs leverage technology to improve the performance and profitability of their companies. Many
companies are starting to implement Information Systems to ensure their operations run smoothly. The supply chain
division has become one of the most important parts in managing the company's operations from start to finish. However,
the transition to Information Systems or digitalization faces several challenges for employees, resulting in a decline in
performance due to the difficulty of adapting to the digital era. Oleh karena itu, tujuan dari penelitian ini adalah untuk
menganalisis dampak Sistem Informasi terhadap kinerja divisi rantai pasokan. Penelitian ini menggunakan pendekatan
kuantitatif untuk pengambilan sampel dan analisis melalui Regresi Linier Berganda. The Multiple Linear Regression
method involves more than one independent variable. With this analysis, we can understand the extent and direction in
which the independent variables affect the dependent variable. The sampling was conducted by distributing questionnaires
to 50 employees in the supply chain division. The data from this questionnaire will be analyzed using SPSS software to
obtain more accurate results. Hasil uji SPSS dari regresi linier berganda menunjukkan bahwa nilai koefisien regresi untuk
ketiga variabel, yaitu kemudahan penggunaan Sistem Informasi, ketersediaan dan kualitas data waktu nyata, serta
tingkat otomatisasi & efisiensi proses, memiliki nilai positif. Therefore, it can be concluded that if the values of the three
variables increase, the performance of the Supply Chain division will improve
Quality Control of Shoe Products Using the New Seven Tools Method and Root Cause Analysis
Get PDFThis study aims to analyze and control product defects in shoes produced by PT XYZ using the New Seven Tools method and Root Cause Analysis (RCA). The research method applied is descriptive with both qualitative and quantitative approaches. Primary data were obtained through observations and interviews, while secondary data consisted of production documents and defect records collected from June 2024 to January 2025. The analysis results show that defect rates exceeded the company’s standard threshold (2%), particularly in the sewing and lasting processes. By utilizing tools such as the Affinity Diagram, P-Chart, Tree Diagram, Matrix Diagram, and Process Decision Program Chart (PDPC), the study identified that the main contributing factors to defects stemmed from human, method, machine, material, and environmental aspects. RCA revealed that the root causes included insufficient training, non-compliance with standard operating procedures (SOP), suboptimal equipment, and unergonomic working conditions. The study proposed 33 improvement actions, of which 28 were deemed feasible for implementation. These findings are expected to help reduce the number of defective products and improve overall production quality
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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