• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1935-1952
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• 2022

Consumer innovativeness plays a vital role in explaining consumer dynamics, such as adoption, usage, and behavioral intention, in the new world of disruptive online media. This empirical study aimed to examine the importance of consumer innovativeness and digital literacy in the adoption and expansion of new technology-based media services, focusing on OTT services. Extending the theory of adoption of new technologies by innovators to new media environment centered on OTT services, it examines the influence of the four dimensions of motivated consumer innovativeness on OTT service usage. The Korea Media Panel Data of 2019, where overall ICT usage and media consumption of a broad panel of respondents was collected, was used for the analysis. From the data of 10,864 respondents, 4,031 (37.1%) were found to have experience in using OTT services. To clarify the mediating effect of digital literacy on the correlations between cognitive innovativeness of consumers and their use of OTT services, Process Macro Model 4 was used. The bootstrap method was applied to reveal that all four dimensions of consumer innovativeness have a significant indirect effect on new media usage through digital literacy, thus indicating how digital literacy plays an important role in the spread of new digital services in addition to consumer innovativeness. The findings are important in that they can help in the efforts to introduce new technologies to the public and educate them to improve their digital literacy so that they can enjoy the complete experience of using these new digital products.

• 유통과학연구
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• 제21권3호
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• pp.47-60
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• 2023

Purpose: During and after Covid-19 pandemic, technology has emerged as a key factor in supporting the recovery of the economy and the rise of living standards. This study examines seven factors affecting the intention of food delivery apps usage, which include Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, Price Value, and Habit, and how much influence they have on the customers' behavioral continuance of food delivery apps after Covid-19 Pandemic. Research methodology: This research is a quantitative descriptive research with 473 qualified respondents from 550 respondents collected. Besides using the UTAUT2 model (Venkatesh et al., 2012), Information Quality was added to give a better explanation for the consumers' intention towards continuance behavior using food delivery apps. The collected data is then processed using SPSS 22.0. Results: Habit factors and Information Quality factors have significant positive effects on promoting food delivery apps usage intention, which in turn influences continuance behavior. In addition, Habit factors and Information Quality factors together have an effect of 48.57% on Behavioral Intention. Conclusion: The result proves that positive habits and food information quality can increase the usage intention towards the behavioral continuance of consumers. Higher usage frequency can be improved by increasing these two factors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2490-2506
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• 2022

In Mobile Edge Computing (MEC), attackers can speculate and mine sensitive user information by eavesdropping wireless channel status and offloading usage pattern, leading to user privacy leakage. To solve this problem, this paper proposes a Privacy-preserving and Energy-efficient Offloading Algorithm (PEOA) based on Lyapunov optimization. In this method, a continuous Markov process offloading model with a buffer queue strategy is built first. Then the amount of privacy of offloading usage pattern in wireless channel is defined. Finally, by introducing the Lyapunov optimization, the problem of minimum average energy consumption in continuous state transition process with privacy constraints in the infinite time domain is transformed into the minimum value problem of each timeslot, which reduces the complexity of algorithms and helps obtain the optimal solution while maintaining low energy consumption. The experimental results show that, compared with other methods, PEOA can maintain the amount of privacy accumulation in the system near zero, while sustaining low average energy consumption costs. This makes it difficult for attackers to infer sensitive user information through offloading usage patterns, thus effectively protecting user privacy and safety.

• 한국IT서비스학회지
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• 제22권4호
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• pp.1-19
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• 2023

This study is a study on the effect of technical readiness factors on counselors' intention to use when applying AICC. AICC counselors experience improved customer service and emotional stability by receiving various monitor notification window services based on artificial intelligence algorithms such as customer counseling history, prohibited word control system, and customized counseling system. Accordingly, this study tried to verify using factors derived from technology readiness theory and technology acceptance theory among the factors affecting the intention to continue using AICC provided to counselors. To verify the research hypothesis, the causal relationship between variables such as Optimism, Innovativeness, Discomfort, Insecurity, and Technology Acceptance Theory, such as Team Support, Ease of Usage, and Innovation Resistance, was verified. As a result of empirical analysis, first, it was verified that Optimism has a positive (+) effect on Team Support and Ease of Usage, and Discomfort and Insecurity have a negative (-) effect on Ease of Usage and Team Support. Second, it was confirmed that Team Support and Ease of Usage had a positive effect on the Intention to use AICC. Based on the above empirical analysis results, the concepts of Technical Readiness were clearly proved, and in practical terms, AICC helped inquiry, quality evaluation, recording, and management of counseling history, ultimately increased corporate work efficiency.

• 아태비즈니스연구
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• 제15권1호
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• pp.45-69
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• 2024

Purpose - To examine the influence of mobile visual search as a strategic technology service on consumer perceived economic value and customer commitments, which in turn affect consumer's usage intention of mobile visual search. This study also explores the moderating effect of different levels of consumer online shopping orientation. Design/methodology/approach - One-by-one open-ended in-depth interview was first undertaken to 15 Korean consumers to figure the features of mobile visual search. Then a conceptual model was built to verify the hypotheses that indicate the impact of mobile visual search on consumer perceived economic value and customer commitment, which further influence consumer's usage intention. Findings - The results show Convenience, Information quality, Personalization, Text-free search interface design and Visual communication of mobile visual search positively influence consumer perceived economic value and customer commitment and in turn positively affect consumer's usage intention. Moreover, the different levels of consumer online shopping orientation also found to have different effects on consumers' perception and behavior of using mobile visual search in online fashion shopping. Research implications or Originality - The present study verified that mobile visual search is a service tool that consumers want to use in the online fashion shopping journey since it provides economic benefits.

• 한국IT서비스학회지
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• 제21권3호
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• pp.63-72
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• 2022

The extinction crisis of local cities, caused by a population density increase phenomenon in capital regions, directly causes the increase of vacant houses in local cities. According to population and housing census, Gunsan-si has continuously shown increasing trend of vacant houses during 2015 to 2019. In particular, since Gunsan-si is the city which suffers from doughnut effect and industrial decline, problems regrading to vacant house seems to exacerbate. This study aims to provide a foundation of a system which can predict and deal with the building that has high risk of becoming vacant house through implementing a data driven vacant house prediction machine learning model. Methodologically, this study analyzes three types of machine learning model by differing the data components. First model is trained based on building register, individual declared land value, house price and socioeconomic data and second model is trained with the same data as first model but with additional POI(Point of Interest) data. Finally, third model is trained with same data as the second model but with excluding water usage and electricity usage data. As a result, second model shows the best performance based on F1-score. Random Forest, Gradient Boosting Machine, XGBoost and LightGBM which are tree ensemble series, show the best performance as a whole. Additionally, the complexity of the model can be reduced through eliminating independent variables that have correlation coefficient between the variables and vacant house status lower than the 0.1 based on absolute value. Finally, this study suggests XGBoost and LightGBM based machine learning model, which can handle missing values, as final vacant house prediction model.

• 농촌계획
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• 제24권4호
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• pp.121-134
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• 2018

By using the raw data of the 2015 Agriculture, Forestry and Fishery Consensus that surveyed the farmers engaged in agriculture, forestry and fishery in 2015, this study investigated the effects of the characteristics of the farms in Gangwon-do on the utilization of the digital devices, which was classified into computers usage only, smartphones usage only, both computers and smartphones usage, and no digital device usage. This study used the Multinomial Logit Model for the above purpose. Moreover, the IIA(Independence of Irrelevant Alternatives) method of the Multinomial Logit Model was analyzed to be suitable. Upon the result of the analysis, when all the other variables were constant in the average, the probability of choosing both computers and smartphones increased by 0.02% as the family member living together with the farm owner increased by 1 person. In addition, the farms with agricultural machineries have 0.03% increased probability of using smartphones to sell their agricultural products, when compared with the farms without agricultural machinery. Moreover, for the farms with high sales profit of the agricultural products, the probability of using computers and the probability of using smartphones increased by 0.04% and 0.01%, respectively, and the probability of using both computers and smartphones increased by 0.02%. On the other hand, for the farms affiliated with the agricultural organization, the probability of using both computers and smartphones increased by 0.17%, and the probability of using only smartphones and the probability of using only computers increased by 0.16% and 0.15%, respectively. In case of selling to the National Agricultural Cooperative Federation(NACF), the probability of using smartphones increased by 0.11% if all other variables were to be constant in the average. In particular, the farms participating in the agriculture-related industries have 1.09% increased probability of using computers, have 0.92% increased probability of using smartphones, and 0.85% increased probability of using both computers and smartphones. Therefore, the implications suggested based on the results of the analysis are as follows. First, the farms' choices of the digital devices are made independently. Hence, the future agricultural industry business platform establishment should necessarily consider the types of farms' choices of the digital devices in the future. Second, since the usage of digital devices has a generally positive influence on the farm household income, digital education to improve farmers' ability to use the digital devices should be urgently provided in order to improve the farm household income in the farms in Gangwon-do. Third, because the digital devices used to sell agricultural products differ depending on the age of the farm owner, it would be desirable to target the younger generation of the farm owners rather than establishing the agricultural industry business platform for the farms in the aged farm villages. Fourth, it would be advisable for the future agricultural business platform to consider the characteristics of agricultural products sales source.

• 문화기술의 융합
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• 제7권2호
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• pp.35-48
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• 2021

본 연구는 대학생의 개인특성과 인터넷 사용특성, 음란물 노출 및 반사회적 성의식과의 관계를 규명하기 위해 모형을 구축하고 이들 요인간의 관계를 규명하고자 시도되었다. 연구대상은 B시 소재 만18세 이상의 대학생 360명을 대상으로 하였으며, 수집된 자료는 IBM SPSS 21.0/AMOS 22.0 프로그램으로 분석하였다. 수정모형의 적합도 지수는 수용기준을 충족하였다(𝛘²/df=2.786, GFI=.95, AGFI=.92, SRMR=.06, RMSEA=.07, NFI=.89, CFI=.93, TLI=.90). 경로분석 결과, 대학생의 반사회적 성의식에 직접적인 영향을 미치는 변수는 개인특성과 음란물 노출이었으며, 간접적인 영향을 미치는 변수는 인터넷 사용특성이었다. 반사회적 성의식에 직접적인 효과가 가장 큰 것은 음란물 노출이었으며, 음란물 노출은 개인특성과 인터넷 사용특성의 직접적인 영향을 받는 것을 확인하였다. 따라서 대학생의 반사회적 성의식 감소를 위해서는 음란물 노출에 직접적인 영향을 미치는 개인특성 및 인터넷 사용특성을 조절하는 방안이 마련되어야 할 것이다.

• Journal of the Korean Data and Information Science Society
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• 제24권3호
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• pp.659-667
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• 2013

If the regression model or the propensity model is correct, the unbiasedness of the estimator using doubly robust imputation can be guaranteed. Using a neural network instead of a logistic regression model for the propensity model, the estimators using doubly robust imputation are approximately unbiased even though both assumed models fail. We also propose a doubly robust estimator of ratio form using population information of an auxiliary variable. We prove some properties of proposed theory by restricted simulations.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 1997년도 추계학술대회논문집; 한국과학기술회관; 6 Nov. 1997
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• pp.370-376
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• 1997

A Simplified Finite Element Method(FEM) model has been developed for the Exhaust System. For the verification of the usage of the developed model , Natural Frequencies, Mode Shapes and Frequency Response Function have been compared between numerical analysis and experimental result. It shows that the developed numerical model also can be utilized to prove the Stress distribution of the Exhaust System if it can be adopted for the vibration analysis adequately.