• Journal of Korean Society for Quality Management
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• v.21 no.1
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• pp.181-189
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• 1993

Over the past two decades, forecasting has gained widespread acceptance as an integral part of business planning and decision making. Accurate forecasting is a prerequisite to successful planning. Accordingly, recent advances in forecasting techniques are of exceptional value to corporate planners. But most of forecasting mothods are reveal its limit and problem for precision and reliability duing to each relationship for raw data and possibility of explanation for each variable. Therefore, to construct the Integrated Forecasting Model(IFM) for Information Factor Analysis, it shoud be considered that whether law data has time lag and variables are explained. For this. following several method can be used : Least Square Method, Markov Process, Fibonacci series, Auto-Correlation, Cross-Correlation, Serial Correlation and Random Walk Theory. Thus, the unified property of these several functions scales the safety and growth of the system which may be varied time-to-time.

• Journal of the Korean Society for Railway
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• v.14 no.1
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• pp.80-86
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• 2011

The purpose of this study is to develop conflict management considering justification of planning decision by public involvement (PI) in the context of Korea as an approach to prevent conflicts for railway projects and to achieve consensus building between public and governments. In this study, to evaluate the effectiveness of conflict management in the process of railway planning, we examined the before and after survey on the light rail transit (LRT) planning that was previously conducted. We first conducted estimation on the causal relationships among factors related to acceptance of LRT planning by structural equation model. The estimation results show that conflict management activities and acceptance are positively related. We also discussed as follows: the level of recognition of railway project influences positive effects regardless of conflict management activities, the most important factor with respect to the acceptance is awareness for planning necessity.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.135-148
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• 2012

This work is intended to investigate how the factors of enterprise mobile SNS affect user satisfaction and continuous use intention through technology acceptance model proposed by Davis. To achieve the purpose, this researcher explored Information Systems Success model proposed by DeLone & McLean, Technology Acceptance Model proposed by Davis, and Model after Acceptance, and on the basis of the investigation, performed a study. For the data of this work, 9 enterprises, each of which has more than 100 employees and is located in Seoul, were chosen, and a questionnaire survey was conducted on their 276 employees who experienced enterprise mobile SNS. As a data collection tool, a structured self-administered questionnaire was used. For data analysis, SPSS 18.0 and AMOS 18.0 were used for applying Structural Equation modelling. According to the results of this work, three factors of enterprise mobile SNS-systematic factor (system quality, information quality, and service quality), user factor (personal innovation and personal familiarity), social factor (social effects and social interaction)-affected user satisfaction and continuous use intention through perceived availability, perceived easiness, and perceived enjoyment. Also, it was found that the direction of effects matched a theoretical prediction. And, it was revealed that the decision variables and mediating variables significantly affected user satisfaction and continuous use intention. Theoretical and practical meanings were discussed for the study result, and some suggestions were made for the issues of this work and future studies.

• IE interfaces
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• v.19 no.3
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• pp.255-269
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• 2006

Digital manufacturing(DM) is the ability to describe every aspect of the design-to-manufacture process digitally-using tools that include digital design, CAD, office documents, PLM(Product Life-cycle Management) systems, analysis software, simulation, CAM software and so on. The major automotive companies are already deeply invested in DM with almost every process being digital rather than paper-based. But it has taken a long time for the digital process to mature into something usable and there have been some major barriers that have prevented from the DM becoming a reality. Thus many companies hesitate to make a decision of implementing the DM. This paper deals with a study investigating which factors are important for implementing the DM to industries successfully. The extended technology acceptance model (ETAM) is used as the relation model of cause and effect. The quality of hardware, the quality of software, the range of collaboration among companies and the preference of the user are defined as the external factors. Interview method is used for gathering input data, and the results are analyzed with SPSS. The results indicate that four external factors are effective on the successful implementation of DM, and the perceived usefulness is most important.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.115-133
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• 2024

Purpose: The purpose of research is to explore the factors influencing the intention to adopt altcoin investments, based on the Unified Theory of Acceptance and Use of Technology. Through this, it seeks to elucidate the key factors impacting altcoin investment adoption, and provide a comprehensive understanding of the crypto-currency market and investor behavior. Methods: This study analyzed factors affecting altcoin investment intentions using frequency and descriptive analyses, and verified socio-demographic differences with t-tests and ANOVA. Exploratory factor and correlation analyses were conducted for research tool validity and relationship assessment among variables. Hypotheses were tested through regression analysis, integrating control, independent, and moderating variables, along with interaction terms, to establish the model and examine moderating effects. Results: As a result, it is revealed that higher age and experience in crypto-currency investment are associated with intention to invest. Among the independent variables, performance expectancy, social influence, facilitating conditions, and personal innovativeness have positive effects to investment intention to invest, while effort expectancy had a negative effect. The moderating variable, perceived risk, also negatively affected the intention to invest. Notably, significant moderating effects of perceived risk were observed in the relationships between investment intention and both performance expectancy and personal innovativeness. Conclusion: This study provides empirical verification into consumers' intentions to invest in altcoins, offering insights into investors' behavior and decision-making processes based on a practical understanding of altcoin investment acceptance.

• Fourth Industrial Review
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• v.4 no.2
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• pp.11-18
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• 2024

Purpose: This research delves into the topic by exploring the impacts of the Unified Theory of Acceptance and Use of Technology (UTAUT) on the fourth industrial setting. As the study begins with a comprehensive review of the literature to find other scholars' contributions, the present authors try to synthesize and integrate scattered related topics in the literature dataset. Research design, data and methodology: We used a descriptive, causal, and explanatory research design hybrid. A causal research design is an approach used to investigate the interaction and relationship between given variables. The screening began with searching using keywords, filtering using the inclusion criteria, and arriving at the final set of sources. Results: There were four crucial findings: 1. The Performance Expectancy Construct Has Strongly Influenced and Influenced the Decision to Acquire and Use a Given Technology. 2. Effort Expectancy Construct Has Influenced the Trends of Adopting. 3. Social Influence and Impact on Choice and Use of Technologies. 4. Facilitating Conditions as A Factor in Modern Production and Consumption. Conclusions: All in all, UTAUT is used in a predictive manner and very instrumental for the producers and users of various technologies. Four primary constructs are critical in making the theory complete, essential, and reliable within the fourth industrial setting.

• International Commerce and Information Review
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• v.15 no.4
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• pp.391-418
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• 2013

The development of web 2.0 technologies created the popularization of social media. People use social media for information communication with many purposes. Under such an environment, this paper examines the acceptance of word-of-mouth information dissemination through social media. The determinants of acceptance and the effect of acceptance on purchase intention as the result of information on social media pertaining to overseas tourism are researched in detail. The consumer choice for international travel involves a decision making with high uncertainty and thus people are using the word of mouth information strongly. Empirical analysis using SPSS, AMOS analysis software was performed on sample data consisting of 385 collected surveys. This paper shows the neutrality of eWOM, the professionalism of senders, and that the practicability of eWOM significantly affects the acceptance of the information. In addition, the acceptance of eWOM information has a significant effect on the spread of eWOM and customers' purchase intention. The paper shows that the practicability of information and the professionalism of word-of-mouth information should be improved.

• The Research Journal of the Costume Culture
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• v.26 no.1
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• pp.109-124
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• 2018

As fashion and distribution companies have increasingly turned to implementing marketing activities that use omni-channel strategies, it is imperative to explore consumer-oriented evaluations of omni-channel shopping for fashion products. Through contributing to the growing research flow of consumer behavior within omni-channel contexts, the current study explores consumer motivations for omni-channel fashion shopping and their impacts on the decision-making stages of fashion products. The authors first performed in-depth interviews with six Korean consumers and confirmed the four types of consumer motivation for omni-channel shopping, and how decision-making processes react to fashion companies' omni- channel marketing strategies. These findings were used to set survey items for the main study. Based on the results and findings of previous literature, an online survey was conducted with 300 participants who had actual experience with omni-channel shopping for fashion products. The statistic results from the survey revealed the following: First, the in-depth interviews allowed the authors to confirm four factors of omni-channel shopping motivation (ubiquity, efficiency, convenience, and impulsiveness). Second, the survey showed the authors that among the four factors of omni-channel shopping orientation, impulsiveness had the greatest effect on consumer behaviors at the preand on-purchase stages, while the ubiquity factor had the greatest effect at the post-purchase stage. As such, the study empirically tested the omni-channel-specific factors of shopping orientation and motivation. In addition, it showed the effect of omni-channel marketing on various stages of the decision- making process and the study's limitations and implications were discussed.

• Journal of Korean Academy of Nursing
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• v.51 no.1
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• pp.15-26
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• 2021

Purpose: This study aimed to distinguish and describe the types of perceptions of do not resuscitate (DNR) proxy decisions among families of elderly patients in a long-term care facility. Methods: This exploratory study applied Q-methodology, which focuses on individual subjectivity. Thirty-four Q-statements were selected from 130 Q-populations formed based on the results of in-depth interviews and literature reviews. The P-samples were 34 families of elderly patients in a long-term care hospital in Busan, Korea. They categorized the Q-statements using a 9-point scale. Using the PC-QUANL program, factor analysis was performed with the P-samples along an axis. Results: The families' perceptions of the DNR proxy decision were categorized into three types. Type I, rational acceptance, valued consensus among family members based on comprehensive support from medical staff. Type II, psychological burden, involved hesitance in making a DNR proxy decision because of negative emotions and psychological conflict. Type III, discreet decisions, valued the patients' right to self-determination and desire for a legitimate proxy decision. Type I included 18 participants, which was the most common type, and types II and III each included eight participants. Conclusion: Families' perceptions of DNR proxy decisions vary, requiring tailored care and intervention. We suggest developing and providing interventions that may psychologically support families.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.381-391
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• 2021

The purpose of this study was to validate the Korean version of autonomy preference index (K-API) for chronic patients. Participants were 569 chronic patients. Construct validity and reliability of K-API were examined using exploratory and confirmatory factor analysis, and Cronbach's α test. Original API was translated to Korean, and we conducted contents validity test, and pilot test. The K-API consisted of 10 items divided into two domains: (i) Decision making preference (DMP); (ii) Information seeking preference (ISP). K-API explained 53.4% of autonomy preference; the two-factor structure showed an acceptance fit. Cronbach's α was. 77 for DMP, and. 75 for ISP. Validity and reliability of the K-API were established, and this study provides additional evidence for the usage of the API in Asian region.