• Journal of Korean Institute of Industrial Engineers
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• v.28 no.4
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• pp.351-359
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• 2002

In this paper, stochastically dependent single and sequential acceptance sampling plans are dealt when the process follows a Polya process model. A Monte-Cairo algorithm is used to find the acceptance and rejection probabilities of a lot. The number of defectives for the test to be accepted and rejected in a probability ratio sequential test can be found by using these probabilities. The formula to measure performance of these sampling plans is developed. Type I and II error probabilities are estimated by simulation. Dependent multiple acceptance sampling plans can be derived by extending the sequential sampling procedure. In numerical examples, single and sequential sampling plans of a Polya dependent process are examined and the characteristics are compared according to the change of the dependency factor.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.305-310
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• 2014

This study was attempted to identify the factors influencing on cervical cancer screening acceptance using Pap smear in women over 20 years old. The subjects of this study were 192 screening acceptance group who visited health examination center. Data were collected by interview and self-administered questionnaire from April 22 through May 24, 2013. The results of this study as follows. Firstly, the response rate(45.8%) of non-screening acceptance group who is not a religion was significantly higher than the response rate(32.3%) of screening acceptance group($X^2=4.82$, p<.05). Secondly, the response rate(61.5%) of non-screening acceptance group who performed breast-feeding was significantly higher than the response rate(46.9%) of screening acceptance group($X^2=0.61$, p<.05). Thirdly, screening acceptance group who performed other screening was significantly higher 4.62 times than non-screening acceptance group(95% Cl=1.15-9.84, P=0.006). Based on the results of this study, it necessary to provide more cervical cancer screening information which can change the negative attitude among the public toward cancer screening acceptance using Pap smear.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.189-195
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• 2021

The point of this research is verifing the longitudinal changes in youth multicultural acceptance and to verify predictive variables of multicultural acceptance. Among the Korean Children and Youth Panal data collected by the Korea Institute for Children and Youth Policy, 1,972 data from the 3rd, 5th, and 6th data of the first-year middle school panal were used, and the data were analyzed by applying the latent growth model, and the following analysis results were obtained. First, adolescents' multicultural acceptability showed an increasing pattern, and the extent of the increase was large at the point of transition from the 3rd year(3rd year of middle school) to the 5th year. Second, predicting the change of multicultural acceptability were found to be significant in the initial values of peer communication, community consciousness and in the rate of change, life-satisfaction, peer communication, community consciousness. This study proposed some plans to improve multicultural acceptance in adolescence basing on these results.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.1
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• pp.73-89
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• 2009

This research examines the factors that influence a consumer's decision to switch to new self-service technologies. The model related to attitudes, anticipated outcomes and intentions to change a behavior was assessed using structural equation modeling at the context of a banking industry. The results revealed that 1) an attitude toward a staff, Internet banking, and an ATM would influence an attitude toward a bank, 2) an attitude toward Internet banking and ATM influence utility and enjoyment, and an attitude toward Internet banking and staff affect social acceptance, 3) an attitude toward a bank was positively associated with enjoyment, 4) an attitude toward Internet banking had a positive effect on the intention, but an attitude toward an ATM had a negative one, and 5) both anticipated outcomes, enjoyment and social acceptance, were found to influence an intention to change behavior, but utility was found to affect negatively.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.1
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• pp.77-89
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• 2023

The purpose of this study is to empirically confirm what is an important variable of organizational change by intelligent technology acceptance and whether is a difference in important variables in the organization level of acceptance of intelligent technology. Recently, business models using intelligent technologies such as chat-bots, self-driving cars, credit-prevention fraud, face recognition, and health-care are emerging. External situation factors such as artificial intelligence, big data, COVID-19, and the ESG management are changing the direction of a company's management strategy. This research method established a structural equation model. As a result of the analysis, we found that the leadership, organizational culture, and organizational cooperation variables had a positive effect on human resource development variables. Human resource development found a positive effect on the performance of intelligent technology. In addition, we found the independent variables of leadership, organizational culture, and organizational cooperation had partial mediating effects on the performance of intelligent technology. Each group of levels of intelligent technology found performance differences. The organizational culture variables appeared as important variables in all groups. On the other hand, the leadership variable appeared as an important variable in the middle and lower groups of intelligent technology. The theoretical background of this study is that the business theory was updated through artificial intelligence and intelligent technology theory. As a practical implication, the organization adopting intelligent technology is necessary to prepare a systematic plan for organizational culture change.

• Human Ecology Research
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• v.54 no.4
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• pp.405-414
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• 2016

The rapid change of consumer expectations in shopping environments has required retailers to actively adopt omni-channel services, however, limited research exists on the topic. We identify the effect of consumer's utilitarian shopping value on expectations for omni-channel services. An online survey was conducted on 176 subjects who had experience using omni-channel services. We employed Unified Theory of Acceptance and Use of Technology (UTAUT) as our theoretical model to explore the mechanisms of consumers' acceptance of omni-channel services in fashion. We used SPSS ver. 22.0 and AMOS ver. 22.0 programs to analyze data. The results indicate that utilitarian shopping value has a positive effect on performance expectancy, effort expectancy, and social influence for omni-channel services. Performance expectancy for omni-channel services also has a positive effect on the purchase intentions of fashion products. Effort expectancy for omni-channel services also positively increases the purchase intentions of fashion products. Last, the social effect of omni-channel services has a significant positive effect on purchase intention. All the hypotheses were supported. The research findings can provide the fashion distribution industry with useful basic data to understand the needs of consumers who use multi-channels when establishing a new channel or marketing strategy.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.261-268
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• 2017

The study is designed to explore the effects of the Acceptance-Commitment Therapy (ACT) on Reserve Officer's Training Corps (ROTC)' stress, anxiety, and acceptance. Among the total of 82 ROTC, total of 12 participants whom showed over-average scores for stress and anxiety and agreed to participate in study were selected. The ACT group received twice-weekly, approximately 90 minute, total of 8 sessions of ACT program Both groups filled out Perceived Stress Scale, State-Trait Anxiety Inventory, and Acceptance and Action Questionnaire each before, at the end of, and 4 weeks after the program. The result showed that the group that participated in ACT program showed significant decrease in stress and anxiety, and although the overall acceptance behavior showed no significant change, the Acceptance - a subfactor of the scale - showed significant increase. This study suggest empirical evidence to prove that the ACT is effective in reducing stess and anxiety of ROTC. However, the study has only few ROTC participants and thus has limitations. Therefore it is crucial that future studies are conducted addressing this issue.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.2
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• pp.1-13
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• 2006

To rapidly respond to uncertainties in the business environment whilst remaining competitive, every organization needs to be able to successfully introduce and manage organizational change. Cognizant of the role of information systems (IS) as an enabler of organizational change, many organizations have paid attention to Enterprise Resource Planning (ERP) systems for successful organizational change primarily because of their change-driving forces across organizations. This study focuses attention on the role of readiness for change in the ERP systems adoption. Readiness for change described as views about the need for organizational change is posited to be an antecedent of two expectancies about the system, performance expectancy and effort expectancy, which lead to actual system use. Based on data gathered from the users of the ERP systems, structural equation analysis using LISREL provides significant support for the proposed relationships.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.501-509
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• 2018

The purpose of this study is to explore the effects of acceptance and commitment Therapy(ACT) on IBS-symptoms, stress, quality of life, and acceptance-action of people with irritable bowel syndrome(IBS). After 156 adults completed Rome III Adult Questionnaire, Fourteen participants selected to 7 in ACT group and 7 in the control group. All participants completed IBS Severity Scale, K-IBS-QOL, Acceptance & Action Questionnaire-16 at the pre-test, post-test, and the 4 weeks follow-up. The ACT programme was administered for 10 sessions. Dedicated people who participated in the study were 6 in ACT group, and 6 in the control group. As a result, ACT has positive effects on the change of perceived stress, quality of life, and acceptance-action, while has not on IBS-symptoms. This study suggest empirical evidence to prove that the ACT is effective in reducing stress and improving quality of life, and acceptance-action of IBS peoples. However, The study has only few participants and thus has limitations.