• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.49-56
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• 2017

Among the techniques for analyzing big data, the association rule mining is a technique for searching for relationship between some items using various relevance evaluation criteria. This associative rule scheme is based on the direction of rule creation, and there are positive, negative, and inverse association rules. The purpose of this paper is to investigate the applicability of various types of relatively causal strength measures to the types of association rules from the point of view of interestingness measure. We also clarify the relationship between various types of confidence measures. As a result, if the rate of occurrence of the posterior item is more than 0.5, the first measure ($RCS_{IJ1}$) proposed by Good (1961) is more preferable to the first measure ($RCS_{LR1}$) proposed by Lewis (1986) because the variation of the value is larger than that of $RCS_{LR1}$, and if the ratio is less than 0.5, $RCS_{LR1}$ is more preferable to $RCS_{IJ1}$.

• Korean Journal of Logic
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• v.18 no.1
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• pp.83-133
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• 2015

In this paper, I pose a problem for Hitchcock's arguments for two concepts of effects that are intended to explicate double causal effects, and put forth a theory that is intended not just to meet the problem but also to accommodate Hitchcock's theory and Eells' theory both. First, I introduce an example of dual causal effects, and examine the accounts of Otte(1985) and Eells(1987) on how to explicate the dual effects. I show that their accounts of the dual effects help us understand the problem of dual effects and see how different it is for Cartwright(1979, 1989, 1995), Eells(1991, 1995), and Hitchcock(2001a) to meet the problem. Second, I introduce two concepts of effects on Hitchcock(2001a), that is, net effect and component effect that are allegedly analogous to two effects of structural equation model. Third, I reveal the significance of homogeneous subpopulation and causal interaction regarding the problem of dual effects while examining Cartwright's theory and Elles' theory. Fourth, I critically examine the two concepts of effects on Hitchcock and argue against Hitchcock's criticism of Eells' theory. Fifth, I take a moderator variable of structural equation model and a moderator effect into the probabilistic theory of causality, and formally generalize causal interaction due to the dual effects in terms of disjunctive relation and counterfactual conditionals. I expect my account of disjunctive relation and counterfactual conditionals to contribute not just to several problems the received theories of causal modelling confront but also to the structural equation models many people exploit as a promising statistical methodology.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.155-178
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• 2023

The purpose of this study is to derive factors that affect the acceptance of digital transformation in ports and empirically analyze the impact of these factors on the acceptance of digital transformation through a survey of port workers. Additionally, we test whether acceptance attitude plays a mediating role in the relationship between these factors and digital transformation acceptance. The variables used in this study are as follows. First, knowledge, self-efficacy, and involvement were included as variables related to individual characteristics, relative advantages, complexity, observability were included as variables related to innovation characteristics, and government regulations and competitor pressure were included as variables relate to environmental characteristics, so that a total of eight latent variables were selected. The results of this study are summarized as follows. First, two variables among individual characteristics, self-efficacy and involvement, were able to confirm a positive(+) causal relationship with the attitude of accepting digital transformation, and knowledge initially expected a positive(+) causal relationship with the attitude of accepting digital transformation, but the result was a negative(-) causal relationship, so that the hypothesis was rejected. Second, among the characteristics of innovation, complexity has a negative(-) causal relationship with the attitude of accepting digital transformation, and relative advantages and technological innovation have a positive(+) causal relationship with the attitude of accepting digital transformation. Finally, among the environmental characteristics, government regulations and competitor pressure, confirmed a positive(+) causal relationship with the attitude of accepting digital transformation. In addition, it was found that the attitude of accepting digital transformation had a positive(+) causal relationship with personal acceptance and social acceptance of digital transformation.

• The Research Journal of the Costume Culture
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• v.8 no.3
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• pp.349-359
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• 2000

The purposes of the study were to investigate the causal relationships between shopping motivation, purchasing situation in store, experienced affection, and purchasing behavior. We collected data from 430 consumers shopping in the apparel store of two department in Busan, and analyzed by factor analysis and regression analysis. The result of this study were as follows ; 1. Purchasing situations which influenced consumers'apparel purchasing behaviors in apparel store were consisted of four factors such as Physical factor, Product factor, Inter-personal Factor and Salesmen factor. 2. Experienced affections in apparel store were consisted of four factors such as Pleasure, Ignorance, Superiority and Insecurity. 3. The main causal course of the apparel purchasing behavior was the shopping motivation → the purchasing situation in store (→the experienced affection in store) → the apparel purchasing behavior. 4. Shopping motivation appeared to be the most important variable determining purchasing behavior in apparel store. Especially, the superiority experienced in store appeared to be positive effects. 5. The causal relationships of purchasing behavior in apparel store were significant differences between two relationships by shopping motivations. In conclusion, this study showed that purchasing situation in apparel store effected on purchasing behavior with the different causal relationships by shopping motivations.

• The Journal of Information Systems
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• v.26 no.2
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• pp.25-42
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• 2017

Purpose This study empirically examined the causal relationships among the level of advanced manufacturing technology(AMT), facilitation of alignment, the degrees of strategic alignment of management accounting information systems(MAIS), and the improvement of production performance. Design/methodology/approach Data for this study were drawn from a survey of the current status of AMT used in Korean manufacturing firms. At the beginning, 131 organizations responded to the request for information. However, during the survey, 5 firms withdrew from the survey, and as a result, 126 manufacturing firms were included in the research. In order to collect data, this study administered questionnaires with the participating firms. The survey was conducted during a 4-month period between November 2015 and March 2016. Findings The results showed that the level of AMT has a significant impact on alignment facilitation. A significant causal relationship between alignment facilitation and MAIS strategic alignment was also found. It was shown that under high degrees of MAIS strategic alignment, MAIS must provide broad-scope and integrated types of information. The causal relationships between MAIS strategic alignment and organizational performance were significant and positive. Thus, it is concluded that under high levels of AMT, a high degree of MAIS strategic alignment positively contributes to the improvement of a firm's production performance.

• Journal of Korean Society for Quality Management
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• v.39 no.4
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• pp.464-479
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• 2011

The purpose of this study is that analyzing the causal relationship between Infra, Process and Performance of companies which are executing the Supply Chain Quality Management(SCQM) with their subcontractors and partners. Korean Standards Association(KSA) provides the Supply Chain Quality Management Model and Quality Collaboration Index for 4 years, but a few study has investigated the critical variables and their causal relationship to organizational performance. Therefore we examine the SCQM model and related index and choose the quality, human resource and risk management processes for identifying the path to organizational performance. In addition, exploratory factor analysis is conducted for figuring out the major factors among the 3 processes. Structural Equation Model are successively used for determining which characteristics of the infra and processes are the most critical variables to performance. The data was collected from KSA and composed of 52 companies and 346 their partners. The result shows that risk management process has no significant effect on the organizational performance and pre-production process collaboration.

• Environmental and Resource Economics Review
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• v.12 no.2
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• pp.327-346
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• 2003

Unlike previous studies on the causal relationship between energy consumption and economic growth, this paper analyses the dynamic causal relationship between these variables using the dynamic vector using Johansen's multiple cointegration procedure, dynamic vector error-correction model and impulse response function. The empirical results show that while the energy consumption to a shock in income responds positively, the income responds positively to the shocks in energy consumption in the first place and then the responses become negative. We also find that the impact of energy consumption shock on the income is short-lived and causes higher inflationary pressure.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.41-49
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• 2020

This study investigates the short-run and long-run causal behavior of the Philippine stock market index volatility under vector error correction environment. The variables were tested first for stationarity and then long-run equilibrium relationship. Moreover, an impulse response function was estimated to examine the extent of innovations in the independent variables in explaining the Philippine stock market index volatility. The results reveal that the volatility of the Philippine stock market index exhibit long-run equilibrium relationship with Peso-Dollar exchange rate, London Interbank Offered Rate, and crude oil prices. The short-run dynamics-based VECM estimates indicate that in the short-run, increases (i.e., depreciation) in Peso-Dollar exchange rate cause PSEI volatility to increase. As for the London Interbank Offered Rate, it causes increases in PSEI volatility in the short-run. The adjustment coefficients used with the long-run dynamics validates the presence of unidirectional causal long-run relationship from Peso-Dollar exchange rate, London Interbank Offered Rate, and crude oil prices to PSEI volatility, and bidirectional causal long-run relationship between PSEI volatility and London Interbank Offered Rate. The impulse response functions developed within the VECM framework demonstrate the positive and negative reactions of PSEI volatility to unanticipated Peso-Dollar exchange rate, London Interbank Offered Rate, and crude oil price shocks.

• The Journal of Economics, Marketing and Management
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• v.9 no.3
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• pp.1-9
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• 2021

Purpose: This study investigates causal relationships among brand experience, perceived value and brand support behavior in both Chinese and Korean consumers, and also examines the moderating effects of interaction with customers in the relationships between brand experience and perceived value. Research design, data and methodology: Three research were presented and examined empirically in this study. First research question is about relationships among brand experience, perceived value and brand support behavior. Second is about the moderating role of interaction with customers and third is about the differences in the causal relationships between China consumers and Korean consumers. A total of 377 samples who had visited theme parks in China and Korea were surveyed. Results: Sensory experience, emotional experience, and cognitive experience have significant causal relationships with perceived value in Both Chinese and Korean consumers. Perceived value has a positive effect on brand support behavior and interaction with customer has a moderating effect between brand experience variables and perceived value in Both Chinese and Korean consumers. Second, the causal relationship between behavioral experience and perceived value is not significant in Both Chinese and Korean consumers. Third, there were significant differences in the effects of emotional experience and cognitive experience on perceived value between Chinese consumers and Korean consumers. Conclusions: Managers of theme park industry should design experience programs considering various brand experience variables for both Chines consumers and Korean consumers. Second, it is necessary to raise the level of customer interaction between employees and customers.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.455-463
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• 2022

The current study adds to the body of knowledge about the mediation in the causal link between students' perceptions of the utility of eLearning and their learning performance. The data was collected from 500 questionnaires that were delivered to the students at the Vietnam National University of Ho Chi Minh City. Only 422 finished questionnaires were usable for analyses, indicating a responding rate of 84.4%. Multiple regressions were used to investigate causal correlations, whereas Goodman's (1960) techniques were used to investigate mediating relationships. The major findings reveal that both the utility and adoption of eLearning have an impact on students' learning performance, with usefulness being a crucial determinant of eLearning adoption for study. More meaningfully, statistical evidence on the mediation of adopting eLearning for study in the causal linkage from the usefulness of eLearning perceived by students to their learning performance was provided. The relevance of using eLearning for study is stressed in this study, where it is not only one of the key antecedents of their learning performance, but also acts as a mediator between the usefulness of eLearning and learning performance in the research model.