• Journal of Distribution Science
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• v.21 no.9
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• pp.1-11
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• 2023

Purpose: This study focuses on developing a structural equation model of variables influencing loyalty to buying and selling food products through e-marketplaces in Thailand. The variables investigated comprised food attributes, online system attributes, marketing innovations, attitudes, and satisfaction. Research design, data and methodology: An online questionnaire was used to collect data from a sample group (200 buyers and 200 sellers) using quota sampling. The data were analyzed using the structural equation model. Results: The developed structural equation model was consistent with the empirical data. Factors in the model could explain 40.1% of the variance in loyalty to buying and selling food products through e-marketplaces. Food attributes and online system attributes influenced satisfaction directly. Online system attributes, market innovation, and attitudes directly influenced loyalty. The developed model had no variation between groups of buyers and sellers. Conclusions: This research demonstrated the causal factors leading to consumer loyalty to buying and selling food products through e-marketplaces. The research findings help e-marketplace providers manage factors of buying and selling to comply with the needs of buyers and sellers, which will increase the number of buyers and sellers, help generate long-term profits for service providers, and increase the country's financial value.

• Information Systems Review
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• v.16 no.3
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• pp.89-112
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• 2014

This tutorial presents an approach to perform the PLS structural equation modeling using the R. For this purpose, the practical guide defines the criteria for the PLS structural equation modeling by reviewing previous studies, and shows how to analyze the research model with an example using the "plspm" which is the R package for the performing PLS path analysis against the criteria. This practical guide will be useful for the study of the PLS model analysis for new researchers and will provide the knowledge base for in-depth analysis through the new PLS structural equation modeling technique using R which is the integrated statistical software operating environment for the researchers familiar with the PLS structural equation modeling.

• Journal of Korean Academy of Nursing
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• v.38 no.5
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• pp.639-648
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• 2008

Purpose: This study was designed to construct and test a structural equation model on sexual function in women with gynecologic cancer. Methods: The model was constructed and tested under the hypotheses that women's physical changes in sexual function after gynecologic cancer treatment did not automatically lead to sexual dysfunctions. Women's psychosocial factors were considered to be mediating variables. Two hundred twelve women with cervical, ovarian, and endometrial cancer were recruited and asked to complete a survey on their physical factors, psychosocial factors and sexual function. Data was analyzed using SPSS WIN 12.0 and Amos WIN 5.0. Results: Predictors of sexual function in the final model were sexual attitude affected by physical distress and couple's age, sexual information affected by physical distress and couple's age, depression affected by physical distress, and marital intimacy affected by physical distress. Tumor stage and time since last treatment directly affected women's sexual function without any mediating psychosocial variables. However, body image did not affect women's sexual function. Conclusion: Nursing professionals should develop a tailored educational program integrating both physical and psychosocial aspects, and apply it to women and their spouses in order to promote sexual function in women with gynecologic cancer.

• Women's Health Nursing
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• v.15 no.3
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• pp.231-241
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• 2009

Purpose: This study was designed to construct and test a structural equation model for life satisfaction in grandmothers who were parenting grandchildren Methods: Grandmothers assuming part-time parenting responsibilities for grandchildren were recruited in four cities in South Korea. They were asked to complete a questionnaire through face to face interviews or self reports, and 248 data units were analyzed with Structural Equation Modeling. Results: Model fit indices for the final model revealed a fit at an excellent level, and all of the 12 paths were statistically significant explaining 51% of the variance. Predictors of life satisfaction in the final model were parenting efficacy, perceived health status, parenting stress, amount of parenting, and demographic factors. The new findings of this study were as follows: First, the satisfaction with life of part-time parenting grandmothers was less than that of non-parenting grandmothers. Second, parenting stress and parenting efficacy revealed determinants to life satisfaction. Third, motivation of parenting and amount of parenting affect both parenting stress and parenting efficacy. Conclusion: The value of parenting and the grandmother-adult children relationship quality should also be considered in developing a grandmothers' educational program, because these are the factors which strengthen parenting efficacy and alleviate parenting stress.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.533-541
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• 2019

This study was designed to construct and test a structural equation model for related factors that affect to self-regulated learning in nursing students. The nursing students was asked to complete a questionnaire, and 273 data units were analyzed with Structural Equation Modeling. The hypothetical model fit indices for the model revealed a fit at a recommended level, and 5 of the 6 paths were statistically significant explaining 68% of the variance. Therefore, education that improves self-determination, interpersonal competence and achievement goal orientation will promote self-regulated learning of nursing students. Competence programs to build the self-autonomy and relationships should be developed.

• The Korean Journal of Applied Statistics
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• v.30 no.6
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• pp.901-916
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• 2017

Recently, the industrial paradigm shift to the fourth industry has already begun, and the importance of patents as intangible intellectual property in the fourth industry era is increasing day by day. Since the technical valuation of a patent is calculated according to the opinion of experts, it is costly and time consuming, and hence, the quality of the patent is judged based on subjective opinions of non-experts. Therefore, it is necessary to develop an objective and rational evaluation system for the qualitative level of patents. In this paper, we classify the valuation of patents into technicality, rights, and usability, and consider the quantitative and objective evaluation modeling of patents using Bayesian structural equation model. In particular, based on the data collected by the Korea Invention Promotion Association, we apply the Bayesian approach, which is capable of stable modeling even under small samples by using prior information, and the structural equation model, which is excellent for modeling and evaluating qualitative performance that is difficult to measure directly, to develop a patent evaluation model.

• Journal of Distribution Science
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• v.22 no.4
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• pp.1-10
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• 2024

Purpose: This study is aimed to introduce the application of phantom approach with structural equation modelling method for online learning. By integrating these innovative methodologies, the research seeks to advance the understanding of how the phantom approach can effectively complement and augment structural equation modeling techniques. Research design, data and methodology: A theoretical framework of Technology Acceptance Model (TAM) was modified and updated. A questionnaire was developed and used to extract information from 189 instructors who used online learning as their primary medium. The Covariance Based Structural Equation Modelling (CBSEM) was applied to test the direct effects and the phantom approach is used to handle the 2 mediators in the model. Results:social influence, perceived usefulness, and perceived ease of use exerted discernible impacts on instructors' intentionsto engage in online learning. These findings illuminate the intricate dynamics influencing instructor behavior within the realm of online education, underscoring the significance of various factors in shaping their intentions. Conclusions: In additions, the perceived usefulness and perceived ease of use had mediated the effect of social influence and instructor intention using phantom approach. Therefore, one can have concluded that this modified model was also confirmed, thereby reinforcing distribution strategies to online learning and overall education presence.

• The Korean Journal of Applied Statistics
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• v.29 no.2
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• pp.331-344
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• 2016

Whole Crop Barley (WCB) is a representative self-sufficient winter annual forage crop, along with Italian Ryegrass (IRG), in Korea. In this study, we examined the path relationship between WCB yield and climate factors such as temperature, precipitation, and sunshine duration using a structural equation model. A Bayesian approach was considered to overcome the limitations of the small WCB sample size. As prior distribution of parameters in Bayesian method, standard normal distribution, the posterior result of structural equation model for WCB, and the posterior result of structural equation model for IRG (which is the most popular winter crop) were used. Also, Heywood case correction in prior distribution was considered to obtain the posterior distribution of parameters; in addition, the best prior to fit the characteristics of winter crops was identified. In our analysis, we found that the best prior was set by using the results of a structural equation model to IRG with Heywood case correction. This result can provide an alternative for research on forage crops that have hard to collect sample data.

• Journal of the Korean Society of Food Culture
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• v.23 no.1
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• pp.48-54
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• 2008

The purpose of this study was to measure the factors influencing customers’ value perception of foodservice in tourist area’s restaurant. A total of 273 questionnaires were completed. Structural equation model was used to measure the causal effects. Results of the study demonstrated that the confirmatory factor analysis model also indicated excellent model fit. The proposed model yielded a significantly better fit to the data than the parsimonious model and extended model. In proposed model, the effects of perceived sacrifice, overall service quality and customer satisfaction on perceived value were statistically significant. The effects of perceived value on loyalty intention were statistically significant. As expected, the overall service quality had a significant effect on customer satisfaction. Moreover, the customer satisfaction played a mediating role in the relationship between overall service quality and loyalty intention.

• Journal of Korean Society for Quality Management
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• v.41 no.3
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• pp.355-369
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• 2013

Purpose: This study is about Lean-NPD (New Product Development). Lean-NPD is Pulip Line's New Product Development type. This study introduced Lean-NPD Definition, Case Study, and Research Model of Lean-NPD. Empirical results of this survey will be provide suggestions to workers. Methods: Researcher developed research model about Lean-NPD activities. And researched Lean-NPD. This study analyzed model fitness and path significant with SEM(Structural Equation Model). Results: Fitness of the research model was satisfactory level. Leadership capabilities and production operations were significantly influence marketing capabilities(t> ${\pm}1.96$). Organizational culture significantly affected marketing capabilities(t> ${\pm}1.96$). R&D capabilities and marketing competencies had significant influence on business performance(t> ${\pm}1.96$). Marketing capabilities had significant influence on quantitative management performance(t> ${\pm}1.96$). Outstanding leadership appear to directly affect Qualitative Performance(t> ${\pm}1.96$). Conclusion: Under the excellent leadership and management environment definite organic Lean-NPD organizational culture significantly affects the operation can be seen. Lean-NPD of operational activities to provide value to customers, customer-oriented marketing activities can be seen that more important than anything. Lean NPD based on customer needs is key factor of growth.