• Journal of Distribution Science
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• v.20 no.12
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• pp.89-98
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• 2022

Purpose: Due to the rapid growth of e-commerce in Thailand, the operational excellence of distribution service providers has been elevated. Thus, this research investigated the key drivers of operational performance of e-commerce distributors in Thailand. The research contains key variables: the analytics capabilities of an organization, supply chain disruption orientation, innovation capability, and operational performance. Research design, data, and methodology: An online survey is administered to top managers and key personnel (N=425) employed for at least one year in Thailand's top five e-commerce distributors. The sampling methods were conducted using purposive sampling, quota sampling, and convenience sampling. Confirmatory Factor Analysis and Structural Equation Model were applied to analyze and confirm the model's goodness-of-fit and hypothesis testing. Results: The findings reveal that an organization's analytics capabilities significantly affect supply chain disruption orientation and supply chain resilience. Furthermore, operational performance is affected by supply chain disruption, supplier quality management, and innovation capability. Nevertheless, supply chain resilience and digital supply chain have no significant effect on operational performance. Conclusions: The results imply that supply chain digitalization could drive higher operational performance. Distribution businesses are encountering transformation and disruption, which should address the high level of a digital supply chain, innovation, and quality management to maximize their profit margin and delivery service quality.

• Korean Journal of Health Education and Promotion
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• v.19 no.4
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• pp.61-76
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• 2002

The purpose of this study is to identify differences in processes of change, decision making, and self-efficacy by exercise behavioral stages and determine variables significantly affecting the older people's participation in exercises. The subjects of this study included 299 people aged 65 or over who were residents of G and S districts in Busan Metropolitan City. They were selected through purposive quota sampling at colleges and centers for old people and homes in order that they could be evenly distributed over stages of pre-contemplation, contemplation, preparation, action and maintenance. Data were analyzed using descriptive, ANOVA, Logistic Regression. Variables that discriminate between participants and non-participants in exercise include self-reevaluation, reinforcing management, cons and self-efficacy. Thus if variables that discriminate between participant and non-participation in exercise such as self-reevaluation, reinforcing management, cons and self-efficacy are fully considered in designing nursing interventions for inducing old people to become exercise participants, it would provide guidelines for nursing intervention programs as appropriate for the people's exercise stages. The purpose of this study is to identify differences in processes of change, decision making, and self-efficacy by exercise behavioral stages and determine variables significantly affecting the older people's participation in exercises. The subjects of this study included 299 people aged 65 or over who were residents of G and S districts in Busan Metropolitan City. They were selected through purposive quota sampling at colleges and centers for old people and homes in order that they could be evenly distributed over stages of pre-contemplation, contemplation, preparation, action and maintenance. Data were analyzed using descriptive, ANOVA, Logistic Regression. Variables that discriminate between participants and non-participants in exercise include self-reevaluation, reinforcing management, cons and self-efficacy. Thus if variables that discriminate between participation and non-participation in exercise such as self-reevaluation, reinforcing management, cons and self-efficacy are fully considered in designing nursing interventions for inducing old people to become exercise participants, it would provide guidelines for nursing intervention programs as appropriate for the people's exercise stages.

• Korean Journal of Health Education and Promotion
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• v.29 no.1
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• pp.39-57
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• 2012

Objectives: This study was to measure community capacity using individual-level and organizational-level capacity indicators and illuminated the relationship of community capacity and self-rated health status in two regions in Seoul, Korea. Methods: The data from individual surveys were obtained by quota sampling the residents of two autonomous gu in Seoul (N=1,000). The data from organizational surveys were obtained by snowball sampling lists of organizations in the possession of gu offices with a sampling frame (N=153). The survey tools were 6 indicators regarding residents' social capital and a sense of community and 5 indicators regarding community-based organizations and their networks. The analysis methods consisted of the effect of the components of capacity on health status and social network analysis. Results: As for capacity on individual levels, while D-gu was mainly developed inn individual capacity in terms of social interaction, Y-gu was stronger in a sense of community and cohesion among residents. As for capacity on organizational levels, Y-gu was more developed than was D-gu in associational networks. Conclusion: It is necessary to develop health promotion program per community and to strengthen partnerships with and among grassroots organizations based in local communities through the measurement of community capacity.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.939-950
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• 2021

The purpose of this research is to investigate the factors affecting Thai commercial bank users' behavioral intention towards QR code payment system via mobile banking applications. The researchers conducted the study based on quantitative research approach. Non-probability sampling method such as the quota and convenience sampling was applied as sampling technique. A self-administered questionnaire was distributed. The data was collected from 1,800 respondents living in Bangkok, who have had an experience with QR code payment system with the top-three mobile banking applications in Thailand. This study concentrates on confirmatory factor analysis and structural equation modeling as a statistical tool to examine the data, model accuracy, and influence of critical variables. In addition, the researchers applied the first-order and second-order techniques to examine the relationship between constructs. Adoption readiness and perceived risk were second-order constructs. The results reveled that compatibility has an impact on attitude towards QR code payment. Moreover, adoption readiness, compatibility, attitude, and personal innovativeness are statistically significant that impact behavioral intention towards QR code payment. The strongest antecedents of behavioral intention were compatibility, attitude, adoption readiness, and personal innovativeness, respectively. Surprisingly, perceived risk and perceived trust do not statistically have a significant impact on behavioral intention towards QR code payment.

• Survey Research
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• v.8 no.1
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• pp.31-54
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• 2007

This paper examined the electoral polling methodologies such as sampling method, sampling frame and the classification of the don't-know responses. Quota sampling method seemed to be one of the major factors for the declining trust in the poll results. We suggested that new procedures for random sampling as well as the bad number screening procedures for RDD selection of phone numbers need to be developed. Also we reviewed how the KBS used the polls in defining voters' agenda and in communicating the public agenda to the candidates. In Korea, rates for the polls were based mainly on the number of interviews completed. It seemed to keep the polling companies from tim new and more time-demanding polling methods. Also various utilization of the polls are limited by the tendency to keep the questionnaire short.

• Survey Research
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• v.12 no.1
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• pp.153-174
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• 2011

This research aims to discuss the causes of inaccuracy in public opinion polls currently conducted in Korea. In particular, identifying the problems in sampling frame and sampling methods in political and social public opinion polls is an important question. Currently, most polling organizations operating in Korea are using phone number directories provided by Korea Telecom(KT) as its sampling frame for conducting most political polls. A critical problem of using a phone number directory as a sampling frame is that unlisted phone numbers can never be included in the sample. If a systematic difference in socio-demographic or politico-economic characteristics exists between the listed number using group and the unlisted group, using a phone number directory as a sampling frame cannot produce a sample that can represent the whole adult population in Korea. According to the poll result commissioned by the Asan Institute for Policy Studies in January 2011, there are statistically significant differences in socio-demographic and politico-economic characteristics between those two groups, and those differences led to the differences in the presidential job approval rating and party support. Our findings include that the listed number using group is more pro-Grand National Party and show stronger support for the president than the unlisted group.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1366-1377
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• 2006

The purposes of this study was to find out 1) the difference in the importance degree of store attribute according to interaction between fashion product types and task situations, 2) the difference in the importance degree of store attribute according to the patronized store types on the basis of fashion product types. The subjects were female adults who lived in Seoul. The sampling method was quota sampling. The data was obtained from 391 questionnaires. The data were analyzed using frequency, one-way ANOVA, Duncan test, and two-way ANOVA by means of SPSS. The results were as follows; 1. According to fashion product types and task situations, there were significant differences in factors of product features, services, physical environments of the store, and price. 2. According to interaction between fashion product types and task situations, there were significant differences in factors of product features, services, physical environments of the store, and price. 3. There were significant differences in factors of product features, services, physical environments of the store, and location of store according to patronized store types, when a consumer purchased a suit, casual wear and inner wear.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.443-450
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• 2021

The paper investigates the factors that affect the decision of young Chinese consumers to buy high-end cosmetics. The study is based on the responses obtained by questionnaires from 400 respondents in Guangzhou, China. The information was collected and classified on the basis of gender, occupation, age and education in order to understand the main characteristics of the sample in a better way. The purposive, convenient and quota sampling techniques of non-probability sampling method were used. Besides this, the predictive test was carried out with 30 respondents to ensure the reliability and validity of the questionnaires. The data was put to descriptive statistical analysis and multiple regression analysis in order to verify the hypotheses. The data revealed that, while brand awareness does not affect the consumer attitude about the high-end cosmetics, other factors like product involvement, perceived quality, subjective norm, and word-of-mouth have significant effect on consumer's attitude and consumers' intention about high-end cosmetics. The findings of the study show that subjective norm, perceived value, word-of-mouth, and consumer attitude of cosmetic products highly affect consumers purchase intention of high-end cosmetic products. The research paper helps to form concrete and effective marketing strategy based on various aspects of consumer behavior for high-end cosmetics in China.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.138-144
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• 2021

The purpose of this study is to analyze the relationship among selection attributes, consumption value brand attitude, fun, brand loyalty and quality of life. The subjects of the empirical study were selected by the Korea Fashion Industry Research Institute using the convention sampling method and the quota sampling method for 241 consumers who have purchased brands classified as "athleisure" within the past year For each variable constructed to verify reliability and validity of the measurement model, reliability tests using Cronbach' alpha were performed using IBM SPSS Win Ver. 23.0. To verify the unidimensionality of the measurements, we conducted a confirmatory factor analysis using AMOS 22.0 and a structural equation model to determine the structural relationship between variables. As a result of the study, First, both intrinsic and extrinsic attributes, which are sub-factors of selection attributes, have been shown to have a significant effect on consumption value. Second, consumption value has been shown to have a significant impact on brand attitude and fun. Third, brand attitudes have been shown to have a significant impact on brand loyalty. Finally, fun has been shown to have a significant impact on quality of life.

• Journal of Distribution Science
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• v.22 no.4
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• pp.23-35
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• 2024

This study investigates the organizational factors including firm size, adaptive capability, absorptive capability, innovative capability, and executive support to determine internet of things, production and services, and organizational performance. Research design, data, and methodology: A quantitative methodology was employed, involving the distribution of surveys to 460 employees occupying managerial and strategic roles. These individuals have accrued a minimum of one year of experience within 20 leading manufacturing and distribution companies in Thailand, each boasting a workforce exceeding 250 employees. Sampling techniques utilized encompass judgmental, quota, and snowball sampling. Furthermore, analysis of the data was conducted through Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The findings indicate that factors such as firm size, adaptive capability, absorptive capability, and innovative capability exert significant influence on the Internet of Things (IoT). In addition, IoT significantly impacts both production and services. Furthermore, the study highlights the significant influence of production and services on organizational performance. However, the anticipated relationship between executive support and IoT lacks support according to the results. Conclusions: This study highlights the transformative potential of IoT for the manufacturing and distribution sector, paving the way for enhanced efficiency, competitiveness, and sustainability in a rapidly evolving business landscape.