• Journal of Korea Port Economic Association
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• v.21 no.3
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• pp.259-270
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• 2005

This study applies the Analytic Hierarchy Process (AHP) to evaluate service quality of Third-Party Logistics (3PL) providers. For this, 3PL service quality is conceptualized and measured using SERVQUAL's five dimensions such as tangibles, reliability, responsiveness, assurance and empathy. Then, the AHP method is applied to determining the relative importance of five service quality dimensions and eventually selecting the best 3PL provider. Finally, this study conducts an empirical case study on four companies providing 3PL services in Korea to demonstrate the basic idea suggested in this paper. The results obtained in the present study indicate that responsiveness to customers is the most important factor perceived by 3PL customers and 3PL C is the best 3PL provider according to the overall service quality scores. In contrast to some previous researches, this study examined issues of service quality from the perspective of 3PL customers as opposed to the perspective of 3PL providers. In order for this study to be more complete, future research is needed in establishing a set of metrics to quantify each dimension of 3PL service quality proposed.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.4
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• pp.457-464
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• 2014

This study investigated the effects and interrelationship on sensual behavior and wine information sources in selection attributes of wine. Selection attributes of wine were categorized into four variables: sensual behavior, recommend information, label information, and wine information. The study showed that for sensual behavior variable, "taste" was the most influential item as compared to "food harmony", "mood harmony" and "partner's choice". For recommendation information, label information and wine information, "specialist", "grape varieties" and "brand" had the most significant effects. The study performed factor analysis on sensual behavior and wine information sources. The cumulative variance was 74.197%, implying that all four variables incorporated appropriate items. In the reliability analysis, all four variables showed Cronbach's ${\alpha}$ values above 0.6. In the analysis of the causal relations using a structural model, the effects of customers' sensual behavior on wine information sources was further investigated. The model verified that taste, food harmony, mood harmony and partner's choice, which are items of sensual behavior, had significant impacts when choosing wine. Sensual behavior influenced all wine information sources, which customers utilize in decision-making. Among these sources, sensual behavior had the biggest effects on recommendation information, followed by wine information and label information.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.455-463
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• 2021

The main objective of this research was to analyze the influence of digital marketing on purchasing decisions. The research was guided by specific aims; to evaluate numerous digital marketing platforms in Jordan that can affect the purchasing decisions and identify product categories purchased by customers on digital media platforms. Furthermore, questionnaires were given based on a simple sampling technique and acquired in the Jordanian market. 300 questionnaires were distributed, and 220 available samples were gathered, except for incomplete questionnaires, resulting in a 73% response rate to all those who selected to participate. Descriptive analysis, reliability test, correlation test, and multiple regressions were used in this research. Moreover, this study's results demonstrated that digital marketing, such as social media marketing and mobile marketing, has a profound impact on consumer purchasing decisions. However, hypothesis testing demonstrated that there are many patronized digital media platforms in Jordan that affect student behavior. Jordanian students buy various product categories on digital media platforms, and digital marketing affects student decision-making. Finally, the results of this study suggest that firms should adopt strategies to leverage the digital world and technology, increase brand awareness through digital platforms to continue competing in today's commercial environment.

• International journal of steel structures
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• v.18 no.4
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• pp.1200-1209
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• 2018

In this study, a probabilistic framework of the damage assessment of pipelines subjected to extreme hazard scenario was developed to mitigate the risk and enhance design reliability. Nonlinear 3D finite element models of T-joint systems were developed based on experimental tests with respect to leakage detection of black iron piping systems, and a damage assessment analysis of the vulnerability of their components according to nominal pipe size, coupling type, and wall thickness under seismic wave propagations was performed. The analysis results showed the 2-inch schedule 40 threaded T-joint system to be more fragile than the others with respect to the nominal pipe sizes. As for the coupling types, the data indicated that the probability of failure of the threaded T-joint coupling was significantly higher than that of the grooved type. Finally, the seismic capacity of the schedule 40 wall thickness was weaker than that of schedule 10 in the 4-inch grooved coupling, due to the difference in the prohibition of energy dissipation. Therefore, this assessment can contribute to the damage detection and financial losses due to failure of the joint piping system in a liquid pipeline, prior to the decision-making.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.513-524
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• 2021

Many organizations have realized that to stand out in today's competitive business world, they need not only academic skills but also emotional intelligence (EI). This study aims to investigate the relationship between EI and the organizational performance of university teachers. The convenient sampling technique has been used to select 200 respondents from 25 universities, and a self-administered research instrument has been employed to collect data from the respondents. The reliability test of items is confirmed by Cronbach's Alpha test using SPSS. Factor analysis has been used to find out the significant constructs of EI, which influence organizational performance. Likert scale and multivariate regression analysis have been used for measuring questionnaire items and testing hypotheses. The key outcomes of this study suggest that interpersonal competence, job performance, effective leadership, motivation and creativity, and social competence have a vital influence on organizational performance. The study also reveals that a decision-making system should be developed and the policymakers and concerned authorities should give more emphasis on key variables of EI that are affecting the advancement of higher education. Further investigation is encouraged to identify the mediating and moderating effects of EI on the relationship between employee work engagement and job performance in the organization.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.275-281
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• 2021

The purpose of this research is to explore what factors affect consumers' purchasing decisions when purchasing artificial intelligence artworks. The research pointed out that in the real shopping model, customer perceived value includes three dimensions: product perceived value, service perceived value and social perceived value. On this basis, an artificial intelligence work purchase decision-making influence model was constructed, and an online survey was attempted to collect data. Through analysis of the reliability, effectiveness and structural equations of SPSS24.0 and AMOS24.0, and scientific verification and analysis, we found that product cognitive value and service cognitive value have a positive impact on consumers' purchase intentions, but social cognition Value has no positive effect on consumers' purchasing intentions.

• The Research Journal of the Costume Culture
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• v.29 no.4
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• pp.505-521
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• 2021

This study analyzed the effects of consumer confusion on shopping fatigue and negative purchasing behaviors in an internet shopping environment. Further, the effects of shopping fatigue on negative purchasing behaviors were analyzed. The survey was conducted among consumers in their 20s and 40s in the Seoul metropolitan area who had experience of purchasing fashion products through internet shopping. A total of 392 questionnaire were analysis, with frequency, reliability, factor, correlation, and regression analysis completed using the SPSS statistics program. The results of the study showed that consumer confusion and shopping fatigue in internet shopping environment affected negative purchasing behaviors. First, consumer confusion comprised overload confusion, similarity confusion, and ambiguity confusion. It was found that overload confusion and similarity confusion significantly affected shopping fatigue. Second, shopping fatigue significantly affected negative purchasing behaviors, and an increased level of shopping fatigue result in, increased purchase delay and non-purchase behavior. Third, consumer confusion (overload confusion, similarity confusion, ambiguity confusion) significantly affected purchase delay behavior, while similarity confusion and ambiguity confusion significantly affected non-purchasing behavior. These results will provide useful data for e-CRM and marketing directions of internet companies and will contribute to rational decision-making of internet consumers and improve the quality of consumer life.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.339-350
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• 2022

The purpose of the study is to determine how organizational culture affects employees' organizational commitment in Vietnamese clothing enterprises. Quantitative research through a questionnaire survey was applied in this research. A Survey of employees of Vietnamese garment companies in Hanoi was conducted from May 2021 to August 2021. The questionnaire was built from reference to previous studies and transferred to Google form. 315 returned questionnaires were usable. The statistical software SPSS 20.0 was used to test the reliability of the scale (Cronbach alpha), exploratory factor analysis (EFA), and regression analysis. The Organizational culture is constructed by 8 components including Organizational Communication, Training and development, Reward and Recognition, Teamwork orientation, Decision-making, Innovation and risk-taking, Direction and future planning, and Leader behavior. Organizational commitment is constructed by 3 components such as affective commitment, continuance commitment and normative commitment. Findings show that organizational culture has a strong impact on organizational commitment in Vietnamese garment companies. Research provides recommendations on developing a good organizational culture through forming suitable leadership, effective organizational communication, training and development, reward and recognition, and a clear direction and future planning to enhance employee commitment to the organization and increase the garment company's performance in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.974-992
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• 2021

Recently, the healthcare field has undergone rapid changes owing to the accumulation of health big data and the development of machine learning. Data mining research in the field of healthcare has different characteristics from those of other data analyses, such as the structural complexity of the medical data, requirement for medical expertise, and security of personal medical information. Various methods have been implemented to address these issues, including the machine learning model and cloud platform. However, the machine learning model presents the problem of opaque result interpretation, and the cloud platform requires more in-depth research on security and efficiency. To address these issues, this paper presents a recent technology for Internet-of-Things-based (IoT-based) health big data processing. We present a cloud-based IoT health platform and health big data processing technology that reduces the medical data management costs and enhances safety. We also present a data mining technology for health-risk prediction, which is the core of healthcare. Finally, we propose a study using explainable artificial intelligence that enhances the reliability and transparency of the decision-making system, which is called the black box model owing to its lack of transparency.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.5
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• pp.530-538
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• 2022

Recently, the R&D of weapon systems has been strengthened in terms of economic cost management throughout the entire life cycle from performance. This study proposes the method for setting the optimal maintenance concept based on RAM-C in weapon system acquisition stage by calculating the operation & maintenance cost as well as reliability, availability, and maintainability. First, we design a simulation model for analysis of weapon system logistic supportability. In addition, information such as weapon system Part Breakdown Structure, operation & maintenance system, cost, and etc for simulation analysis, is applied. Based on the obtained simulation results, the optimal plan is selected among alternatives designed with various maintenance concepts through normalization and weight setting. It is expected to be of technical help in the application of RAM-C in the weapon system acquisition stage.