bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan'

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Factors affecting online purchase intention: the case of e-commerce on lazada

This study aims to explore the scale and measure of the impact of factors affecting theonline shopping intention of the consumer on the Lazada e-commerce website in Ho Chi Minh City. The study confirms the theoretical analysis of consumer behavior (Theory of Reasoned Action - TRA), (Theory of Planned Behavior – TPB), as well as compares the research articles related to online shopping intention of domestic and foreign authors. From the survey results from 300 customers, the author pointed out that six factors positively affecting online purchase intention include usefulness - convenience, trust, behavior control awareness, business competency, and reference group opinion. The other factor is the perceived risk that has negative affect customers' online shopping intentions. Since then, the research offers the causes, solutions, implications to help traders on e-commerce sites capture the needs and psychology of customers and help them partially improve their ability to attract customers online shopping in Ho Chi Minh City

Direct and indirect impact of aesthetics on intention to buy smartphones

This study aims to measure the direct and indirect impact of aesthetics on consumers' intention to buy smartphones through perceived value in the context of research in Vietnam. The research data conducted through three surveys: The first one is expert survey and group discussions to explore and adjust the scales. The second one is that the authors conducted a pilot study with 100 customers in Ho Chi Minh City to evaluate the reliability of scales, the last one is that the authors survey directly 200 customers and send 100 online surveys. And 275 valid observations with Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Structural Equation Modeling (SEM) were conducted to find a direct and indirect impact on the intention to buy smartphones. The main results show that aesthetic has a direct and indirect impact on the intention to buy smartphones. The strongest influence is the indirect impact of aesthetics on the intention to purchase through social value; the second strong impact is the direct impact of aesthetics on the intention to buy, the two weakest indirect effects is through functional value and emotional value respectively. Based on the research results, the product developer can adjust the properties of aesthetics, and at the same time looking the ways to increase the perceived value of customers; thereby increasing revenue in selling smartphones

Factors affect customer satisfaction: the case of cargo delivery services

The research aims to explore and measure the factors affecting customer satisfaction in cargo delivery services in Vietnam. Notably, the researchers develop a new scale to examine the effect the customer satisfaction, and it is the price factor. To conduct the research, the authors do group discussions and expert discussion and then analyzed 1,729 valid respondents with five factors: resource, service capacity, management capacity, brand reputation and price. The result from Exploratory Factor Analysis (EFA) shows that all of the independent variables have a significant effect on customer satisfaction. In which, brand reputation is the most influential factor, and the management capacity is the least influential factor. Besides, the research shows that the price also effects on customer satisfaction on cargo delivery context. Based on that, the research recommends the necessary management solutions to increase customer satisfaction, and it also supports the new scale and ideas to research in the new field and new country in further research

Intention to use bike-booking application: the case of students in Ho Chi Minh City

This study aims to determine the factors that influence the intention to use the bike-booking application and measure the influence of the elements on the behavior intention to use the bike-booking application for university students in Ho Chi Minh City. Based on the research results, the author gives some managerial implications to increase customers' choice of bike-booking applications to increase the attractiveness of customers to choose apps. With the number of surveyed questionnaires is 200, the author collected 177 valid respondents, and the study results showed that the scales used in the model meet the requirement about reliability and validity. Research has shown that factors such as trust, perceived ease of use, subjective norm, perceived usefulness, perceived price level positively influence the intention to use a bike-booking application for university students in Ho Chi Minh City. In which the perceived usefulness has the most substantial impact, the subjective norm has the lowest effect on behavior intention. The second most effective one is the perceived price level; the third most effective is the ease of use; the fourth most effect is trust

The relationship between aesthetics, perceived value and buying intention: a literature review and conceptual framework

This research aims to synthesize the scales of aesthetics, the perceived value of the consumers for the intention to buy smartphones. At the same time, this analyzes the relationship between aesthetics, perceived value and intention to purchase, thereby the study suggests the research model which can be applied in other places, other contexts, and related fields. The method in this study is to summarize the systematics theories and compare the relevant studies. As a result, this research can develop research hypotheses. The main results of the proposed model are to explore the scales and find out the relationship between aesthetics, perceived value and intention to buy smartphones directly and indirectly. Moreover, empirical research can, based on the proposed conceptual framework, be studied for different countries or technology-related products such as computers, tablets, and other smart devices

Piezoresistive effect of p-type single crystalline 3C-SiC on (111) plane

This paper presents for the first time the effect of strain on the electrical conductivity of p-type single crystalline 3C-SiC grown on a Si (111) substrate. 3C-SiC thin film was epitaxially formed on a Si (111) substrate using the low pressure chemical vapor deposition process. The piezoresistive effect of the grown film was investigated using the bending beam method. The average longitudinal gauge factor of the p-type single crystalline 3C-SiC was found to be around 11 and isotropic in the (111) plane. This gauge factor is 3 times smaller than that in a p-type 3C-SiC (100) plane. This reduction of the gauge factor was attributed to the high density of defects in the grown 3C-SiC (111) film. Nevertheless, the gauge factor of the p-type 3C-SiC (111) film is still approximately 5 times higher than that in most metals, indicating its potential for niche mechanical sensing applications

Retractions Data Mining #1

Motivation: • Breaking barriers in publishing demands a proactive attitude • Open data, open review and open dialogue in making social sciences plausibl

APPLICATION OF DATA ENVELOPMENT ANALYSIS FOR MEASURING SERVICE QUALITY FROM DISTRIBUTORS’ PERSPECTIVE IN SUPPLY CHAIN

Abstract: Vietnam’s textile and apparel sector has achieved fast and sustainable growth over the past years and played an important role in national socio-economic development. The export value of textile and garment products in recent years has ranked number two in the country’s total export revenue. In this scenario, an attempt was made to examine the service quality at the manufacturer – distributor interface of the textile supply chain and provide clear guidelines for benchmarking of service quality in multi-unit services. A sample of 144 distributors from Small and Medium Enterprises (SMEs) in major regions of South Vietnam was selected. Exploratory Factor Analysis was used to identify the critical factors of service quality. This research applies the data envelopment analysis (DEA) approach to the computation of a measure of overall service quality and benchmarking when measuring service quality with the Service Performance model. Dealing with the five dimensions of Service Performance (SERVPERF) as outputs, the proposed approach uses DEA as a tool for multiple criteria decision making (MCDM), in particular, the pure output DEA model without inputs. Data envelopment analysis measures the relative efficiency of decision-making units (DMUs) and identifies a set of corresponding efficient DMUs that can be used as benchmarks for the improvement of inefficient DMUs. The findings shed valuable insights on measures and critical underlying dimensions of service quality in the context of the supply chain in the textile industry, specifically from the distributor perspective. The results also give the best performer in textile SMEs and set the benchmarking guideline within each group among SEMsKeywords: service quality, data envelopment analysis, SERVPER

Scrambling for higher metrics in the Journal Impact Factor bubble period: a real-world problem in science management and its implications

Universities and funders in many countries have been using Journal Impact Factor (JIF) as an indicator for research and grant assessment despite its controversial nature as a statistical representation of scientific quality. This study investigates how the changes of JIF over the years can affect its role in research evaluation and science management by using JIF data from annual Journal Citation Reports (JCR) to illustrate the changes. The descriptive statistics find out an increase in the median JIF for the top 50 journals in the JCR, from 29.300 in 2017 to 33.162 in 2019. Moreover, on average, elite journal families have up to 27 journals in the top 50. In the group of journals with a JIF of lower than 1, the proportion has shrunk by 14.53% in the 2015–2019 period. The findings suggest a potential ‘JIF bubble period’ that science policymaker, university, public fund managers, and other stakeholders should pay more attention to JIF as a criterion for quality assessment to ensure more efficient science management