206 research outputs found
Moderating roles of information technology link and information sharing in driving supply chain performance through supplier development and knowledge absorption: Empirical evidence from manufacturing firms across countries
Along with information technology adoption, supply chain coordination through information sharing activities has become essential to achieve supply chain effectiveness and resilience. This paper presents the results of an empirical study investigating the moderating roles of information technology link and information sharing on the relationship between supplier development, knowledge absorption from customers, and supply chain performance. Statistical techniques such as measurement test, correlation analysis, and regression analysis are applied to analyze the data collected during the Round 4 of the High Performance Manufacturing (HPM) Project. The data sample includes 304 manufacturing plants operating in 13 countries including Brazil, China, Finland, German, Italy, Israel, Japan, Korea, Spain, Sweden, Taiwan, United Kingdom, and Vietnam. Analytical results indicate that a supply chain would perform better when focal firms invest their effort in supplier development and knowledge absorption activities and develop a strong link with suppliers and customers through information technology systems. Information technology links with suppliers and customers have significant moderating roles in strengthening the relationship between supplier development, knowledge absorption from customers, and supply chain performance. Moreover, information sharing exchange with suppliers were found to make the association between supplier development and supply chain performance becomes more pronounced. The empirical results contribute to the existing literature of information sharing and supply chain coordination in supply chain management. In addition, this study provides several practical implications, such that information technology linkage and information sharing activities should be considered as the platforms for organizations to interact with different supply chain partners for achieving high supply chain performance
Factors affecting the creativity of high school students
Creativity is a vital personality quality of each individual. Each person has their potential for
creativity, and it can be nurtured and developed in an appropriate and safe environment. The
purpose of the study was to find out which factors from schools and students themselves affect
creativity as well as the association between creativity and age, gender and giftedness of students,
which then a basis to adjust and establish appropriate methods from schools, families, and students
themselves to develop elements and their creativity. The study was conducted on 108 high school
students in three grades from giftedness and non-giftedness schools. The data was collected through
a survey method using a self-constructed questionnaire and drawing creativity test TCT-DP to
determine students' creativity levels and personal information. The study's finding, which uses
mathematical methods and one-way analysis of variance, reveals that factors affecting elements and
creativity level are objective factors including education environment from school; behavior of
teachers, and subjective factors including interests, perspectives, and thoughts of students. It was also
found that there were no significant differences in the components of creativity and creativity among
students in different grades, gender, and groups of giftedness schools
Conditional expectation with regularization for missing data imputation
Missing data frequently occurs in datasets across various domains, such as
medicine, sports, and finance. In many cases, to enable proper and reliable
analyses of such data, the missing values are often imputed, and it is
necessary that the method used has a low root mean square error (RMSE) between
the imputed and the true values. In addition, for some critical applications,
it is also often a requirement that the imputation method is scalable and the
logic behind the imputation is explainable, which is especially difficult for
complex methods that are, for example, based on deep learning. Based on these
considerations, we propose a new algorithm named "conditional
Distribution-based Imputation of Missing Values with Regularization" (DIMV).
DIMV operates by determining the conditional distribution of a feature that has
missing entries, using the information from the fully observed features as a
basis. As will be illustrated via experiments in the paper, DIMV (i) gives a
low RMSE for the imputed values compared to state-of-the-art methods; (ii) fast
and scalable; (iii) is explainable as coefficients in a regression model,
allowing reliable and trustable analysis, makes it a suitable choice for
critical domains where understanding is important such as in medical fields,
finance, etc; (iv) can provide an approximated confidence region for the
missing values in a given sample; (v) suitable for both small and large scale
data; (vi) in many scenarios, does not require a huge number of parameters as
deep learning approaches; (vii) handle multicollinearity in imputation
effectively; and (viii) is robust to the normally distributed assumption that
its theoretical grounds rely on
Molecular relaxations in supercooled liquid and glassy states of amorphous gambogic acid: Dielectric spectroscopy, calorimetry, and theoretical approach
The relaxation dynamics and thermodynamic properties of supercooled and glassy gambogic acid are investigated using both theory and
experiment. We measure the temperature dependence of the relaxation times in three polymorphs (α-, β-, and γ-form). To gain insight into
the relaxation processes, we propose a theoretical approach to quantitatively understand the nature of these three relaxations. The α-relaxation
captures cooperative motions of molecules, while the β-process is mainly governed by the local dynamics of a single molecule within the cage
formed by its nearest neighbors. Based on quantitative agreement between theory and experimental data, our calculations clearly indicate
that the β-process is a precursor of the structural relaxation and intramolecular motions are responsible for the γ-relaxation. Moreover, the
approach is exploited to study the effects of the heating process on alpha relaxation. We find that the heating rate varies logarithmically with
Tg and 1000/Tg . These variations are qualitatively consistent with many prior studies
Ownership Concentration and Accounting Conservatism: The Moderating Role of Board Independence
The purpose of this study is to examine the moderating effect of board independence on the relationship between ownership concentration and accounting conservatism. Using fixed-effect regressions for a sample of 165 Vietnamese listed companies from 2007 to 2017, the results revealed that the proportion of outstanding shares owned by the largest shareholder is negatively associated with accounting conservatism and board independence plays a moderating role in this relationship. Our results are robust after applying alternative measures of the largest ownership and correcting for potential endogeneity using fixed-effects regression with instrumental variables. Overall, our evidence shows that firms with concentrated ownership should keep a high non-executive ratio to maintain accounting conservatism. In other words, increasing the number of non-executive directors on boards in firms with a substantial proportion of shares held by the largest shareholder is likely to strengthen the information environment, giving financial reporting more credibility.JEL Classification: G30; G32. Doi: 10.28991/ESJ-2023-07-01-07 Full Text: PD
Evaluation of factors related to entrepreneurial intentions among young pharmacists in the Mekong Delta region: a cross - sectional study in Vietnam
At present, a new wave of entrepreneurship has emerged and made a significant impact in Vietnam despite challenges. The study aims to assess the factors related to the entrepreneurial intentions of young pharmacists in 2023 in the Mekong Delta region. A cross-sectional descriptive method was conducted, involving interviews with 815 young pharmacists living in the Mekong Delta region, via a pre-designed research questionnaire. Results showed that 6 out of 43 variables were eliminated after Cronbach’s alpha was run. The Kaiser-Meyer-Olkin coefficient (0.5–0.923) indicated statistical significance and suitable conditions for Exploratory Factor Analysis. Confirmatory Factor Analysis and Structural Equation Modeling results were consistent with market data. With the impact of difficulties, attitude, perception of behavioral control, subjective norms, achievement needs on knowledge, and knowledge on entrepreneurial intentions (p < 0.05). In conclusion, the study successfully collected samples and gained a deeper understanding of the factors influencing the entrepreneurial intentions of young pharmacists
Immunohistochemical expression of anaplastic lymphoma kinase in neuroblastoma and its relations with some clinical and histopathological features
Background Anaplastic lymphoma kinase (ALK) mutations have been identified as a prominent cause of some familial and sporadic neuroblastoma (NB). ALK expression in NB and its relationship with clinical and histopathological features remains controversial. This study investigated ALK expression and its potential relations with these features in NB. Methods Ninety cases of NB at the Department of Pathology, University of Medicine and Pharmacy at Ho Chi Minh City, Viet Nam from 01/01/2018 to 12/31/2021, were immunohistochemically stained with ALK (D5F3) antibody. The ALK expression and its relations with some clinical and histopathological features were investigated. Results The rate of ALK expression in NB was 91.1%. High ALK expression (over 50% of tumor cells were positive with moderate-strong intensity) accounted for 65.6%, and low ALK expression accounted for 34.4%. All the MYCN-amplified NB patients had ALK immunohistochemistry positivity, most cases had high ALK protein expression. The undifferentiated subtype of NB had a lower ALK-positive rate than the poorly differentiated and differentiated subtype. The percentages of ALK positivity were significantly higher in more differentiated histological types of NB (p = .024). There was no relation between ALK expression and: age group, sex, primary tumor location, tumor stage, MYCN status, clinical risk, Mitotic-Karyorrhectic Index, prognostic group, necrosis, and calcification. Conclusions ALK was highly expressed in NB. ALK expression was not related to several clinical and histopathological features. More studies are needed to elucidate the association between ALK expression and ALK gene status and to investigate disease progression, especially the oncogenesis of ALK-positive NB
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