• Journal of Distribution Science
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• v.19 no.1
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• pp.75-87
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• 2021

Purpose: The objective of this research is to identify the core aspects of persuasive factors influencing consumer's experiential value towards using Augmented Reality (AR) try-on feature while shopping cosmetic products online. The conceptual framework of this study is adopted and integrated from the theoretical study on how narrative experience, media richness, and presence affect the formation of experiential value in the augmented reality interactive technology (ARIT) process. Research design, data and methodology: The sample (n = 550) were collected from online and offline questionnaires by using stratified random sampling and purposive sampling methods. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were used to analyze the data to confirm goodness-of-fit of the model and hypothesis testing. Results: The results indicated that media richness induced higher experiential value (consumer ROI, playfulness, service excellence and aesthetics), followed by narrative experience and presence towards using AR try-on feature. Conclusions: Consumer's experiential value towards using AR try-on feature when shopping cosmetic products online rely on media richness, narrative experience and presence respectively. Therefore, marketing practitioners are recommended to develop the feature design and content to be more useful, authentic, user-friendly and entertaining to better connect and provide confidence to consumers when shopping cosmetics online.

• Korea Journal of Hospital Management
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• v.27 no.1
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• pp.11-19
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• 2022

Purposes: This study was to investigate intention to exercise the patient's right of self-determination on adopting the non-benefit medical services and was to identify factors associated with intention to self-determined decision. Methodology: A total of 1,000 adult respondents aged 20 to 65 years were recruited using stratified random sampling and surveyed by online. Multivariate logistic regression analysis was performed to identify factors associated with intention to self-determined decision using SAS 9.4(SAS Institute Inc. Cary, NC, USA). Findings: 61.9% of total participants(n=592) had intention to exercise patient's right of self-determination on adopting the non-benefit medical services. Significant differences were observed in the exercise of self-determination in relation to prior explanation and opportunity for self-determination. Practical Implications: This study suggested that explanation duty of provider might influence on increasing intention to exercise the patient's right of self-determination. Considering appropriate use of non-benefit services, it is important to enhance explanation duty of provider.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.273-280
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• 2022

The study aimed to determine the impact of societal participation on the customer loyalty of Saudi banks and identify the statistical differences in customer loyalty according to sex, age, education level, and occupation type. The independent variable is corporate societal participation, and the dependent represents customer loyalty. Corporate societal programs have two dimensions: social participation and philanthropic participation. The research population consists of Saudi workers in three sectors: government, military, and private reached 3.58 million people in 2021. The unit of analysis is the Saudi employee in one formal industry and dealing with the Saudi banks that offered corporate societal participation programs. The research used the appropriate stratified sampling method, and the recommended sample size reached 387 respondents. A fully structured questionnaire is used. The study concluded that corporate social programs have not impacted customer loyalty, while corporate philanthropy programs strongly affected customer loyalty. On the other hand, there are no differences in customer loyalty according to demographics (sex, age, education, and occupation type). Finally, the study presents a set of recommendations in the field of corporate social responsibility and develops the local communities.

• Journal of Nutrition and Health
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• v.55 no.1
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• pp.1-9
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• 2022

In the past few decades, great progress has been made on understanding the interaction between nutrition and health status. But despite this wealth of knowledge, health problems related to nutrition continue to increase. This leads us to postulate that the continuing trend may result from a lack of consideration for intra-individual biological variation on dietary responses. Precision nutrition utilizes personal information such as age, gender, lifestyle, diet intake, environmental exposure, genetic variants, microbiome, and epigenetics to provide better dietary advices and interventions. Recent technological advances in the artificial intelligence, big data analytics, cloud computing, and machine learning, have made it possible to process data on a scale and in ways that were previously impossible. A big data platform is built by collecting numerous parameters such as meal features, medical metadata, lifestyle variation, genome diversity and microbiome composition. Sophisticated techniques based on machine learning algorithm can be used to integrate and interpret multiple factors and provide dietary guidance at a personalized or stratified level. The development of a suitable machine learning algorithm would make it possible to suggest a personalized diet or functional food based on analysis of intra-individual metabolic variation. This novel precision nutrition might become one of the most exciting and promising approaches of improving health conditions, especially in the context of non-communicable disease prevention.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.1-11
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• 2022

Purpose: The purpose of this study was to empirically test a model of associations linking locations and competition among nursing homes (NHs), mediated by facility grade and registered nurse (RN) turnover, on activities of daily living (ADLs) in Korean NHs. Methods: This study used a cross-sectional design to identify causal factors on NH residents' ADLs. Data were collected from June 2017 to August 2017. A disproportionate stratified cluster sampling method of NHs across Korea was used to gain representation. The collected data consisted of location and the Herfindahl-Hirschman Index (HHI), RN turnover rate, facility grade, and NH residents' ADLs. Results: All pathways affecting ADLs were not significant, and the effect on facility grade was significant in RN turnover (β = -.59, p < .001). RN turnover associated negatively with facility grade. In other words, the higher the RN turnover, the worse the facility grade. Conclusion: This study is the first to examine the impact of location and HHIs, mediated by RN turnover rate and facility grade, on NH residents' ADLs. To improve residents' ADLs, subsequent studies are needed to identify the factors affecting ADLs utilizing other variables because this study did not identify factors that affect ADLs.

• Journal of Distribution Science
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• v.21 no.1
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• pp.53-63
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• 2023

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.327-340
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• 2023

Purpose - The purpose of this study is to examine the information effect of securities firm's net operating capital, securities firm's regulatory purposes capital, by analyzing the value relevance of net operating capital. Design/methodology/approach - This study was empirically analyzed using samples of domestic listed securities firms in the past 12 years, and multiple regression analysis and Vuong (1989) test were used together as specific research methods. Findings - First, it was found that the net operating capital of securities firms has an incremental value relevance that is added to basic accounting information (equity book value, profit or loss information). Second, after classifying equity capital on the books into net operating capital and the rest of equity capital, the value relevance of net operating capital was significantly higher than that of other equity capital. Research implications or Originality - The results of this study indicate that the level of regulatory capital in the securities industry can be used in the process of evaluating firm value in the capital market, and it is significant in that capital market evaluation can be stratified according to regulatory purposes.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.1
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• pp.83-94
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• 2022

Purpose - Vietnam's education system has undergone numerous changes. One of the significant reforms is the college admissions process which all high school seniors are obliged to go through the High School Graduation Examination (HSGE). Despite its significance, there is lack of research to examine the effects of high-stakes and nationally standardized exams on students' learning experiences. By applying the concept of washback, the purpose of this study is to provide a comprehensive qualitative analysis of students' perceptions and learning experiences when preparing for and taking the HSGE. Research design, data, and methodology - 20 high school seniors were participated in this study. This study utilized a stratified sampling methods and randomly selected participants. Result - This study revealed that the washback effect of the HSGE strongly existed in students' learning experiences. This study also found that there is a negative washback effect of the HSGE on students' learning, particularly for those living in rural areas although Vietnamese schools and communities shared unequal educational and socioeconomic resources. Conclusion - The results of this study would be useful for policymakers to provide better assessment system to enhance students' ability and reduce exam pressure. This study also makes suggestions in regard to bringing more formative types of assessment into the high-stakes and nationally standardized exam.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.4
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• pp.19-27
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• 2023

PURPOSE: This investigation in the study aimed to assess to determine proportion and susceptibility makers of sarcopenia in Korean younger female aged 30 to 39 years. METHODS: To address the complex sampling design of Korea National Health and Nutrition Examination Surveys, appropriate individual weights were incorporated into the analysis. The data employed a stratified, clustered, multistage probability sampling design. A total of 2,098 participants were enrolled and categorized into two groups based on their skeletal muscle mass index scores. One hundred and twenty-four individuals were placed in the sarcopenia group, while 2,024 were allocated to a normal group. The study examined various markers as variables, including age, height, weight, body mass index waist circumference, skeletal muscle mass index, systolic and diastolic blood pressure, fasting glucose, triglyceride, and total cholesterol levels, and smoking and drinking habits. RESULTS: The study found that proportion of sarcopenia in this population was 3.78% (CI: 2.89-4.94) in sarcopenia group and 96.22% (CI: 95.06-97.11) in normal with weighed values. Several susceptibilities including height, weight, BMI, waist circumference, diastolic blood pressure, and total cholesterol levels were risk factor for sarcopenia (p < .05), exhibited significant differences between the sarcopenia and normal groups. CONCLUSION: This investigation provides the proportion of sarcopenia and identifies relevant susceptibility markers among community dwelling younger women in Korea.

• Clinical Nutrition Research
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• v.12 no.1
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• pp.40-53
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• 2023

Differential bitterness perception associated with genetic polymorphism in the bitter taste receptor gene taste 2 receptor member 38 (TAS2R38) may influence an individual's food preferences, nutrition consumption, and eventually chronic nutrition-related disorders including cardiovascular disease. Therefore, the effect of genetic variations on nutritional intake and clinical markers needs to be elaborated for health and disease prevention. In this study, we conducted sex-stratified analysis to examine the association between genetic variant TAS2R38 rs10246939 A > G with daily nutritional intake, blood pressure, and lipid parameters in Korean adults (males = 1,311 and females = 2,191). We used the data from the Multi Rural Communities Cohort, Korean Genome and Epidemiology Study. Findings suggested that the genetic variant TAS2R38 rs10246939 was associated with dietary intake of micronutrients including calcium (adjusted p = 0.007), phosphorous (adjusted p = 0.016), potassium (adjusted p = 0.022), vitamin C (adjusted p = 0.009), and vitamin E (adjusted p = 0.005) in females. However, this genetic variant did not influence blood glucose, lipid profile parameters, and other blood pressure markers. These may suggest that this genetic variation is associated with nutritional intake, but its clinical effect was not found. More studies are needed to explore whether TAS2R38 genotype may be a potential predictive marker for the risk of metabolic diseases via modulation of dietary intake.