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The centralized processes of today’s power trading systems are complex and pose a risk of price tampering and hacking. The decentralized and unmodifiable nature of the blockchain technology that has recently been highlighted offers the potential to improve this power trading process. The purpose of this study is to implement a system to apply the blockchain technology to the problem of power trading.

The authors modeled the power trading problem as the interaction between admin, producer and consumer nodes. And a power trading scenario has been created for this model using a blockchain platform called Multichain which is both fast and highly scalable. To verify this scenario, they implemented a trading system using Savoir, a Python-based JsonRPC module.

Experimental results show that all processes, such as blockchain creation, node connectivity, asset issuance and exchange transactions have been correctly handled according to the scenario.

In this study, the authors have proposed and implemented a power trading method that determines price according to the pure market principle and cannot be manipulated or hacked. It is based on the nature of blockchain technology that is decentralized and cannot be tampered.

The purpose of this paper is to predict intentions to purchase sport team licensed merchandise (STLM) using the theory of planned behavior (TPB).

Three constructs of the TPB such as attitudes, subjective norms, and perceived behavioral control (PBC) were used to predict purchase intention of STLM. In an effort to increase the level of prediction, additional elements – past behavior and role identity – were included. A total of 384 university students participated in the survey.

The results indicated that attitude, subjective norms, and PBC accounted for 64 percent of the variance in purchase intention of STLM. Past behavior and role identity explained an additional 9.3 percent of the variance in purchase intentions. Past behavior was the strongest predictor of purchase intention.

The results showed the efficacy of the TPB in predicting purchase intentions of STLM.

This study aims to systemically evaluate morphological printing errors between computer-aided design (CAD) and reference models fabricated using two different three-dimensional printing (3DP) technologies with hard and soft materials.

The reference models were designed to ensure simpler and more accurate measurements than those obtained from actual kidney simulators. Three reference models, i.e. cube, dumbbell and simplified kidney, were manufactured using photopolymer jetting (PolyJet) with soft and hard materials and multi-jet printing (MJP) with hard materials. Each reference model was repeatably measured five times using digital calipers for each length. These values were compared with those obtained using CAD.

The results demonstrate that the cube models with the hard material of MJP and hard and soft materials of PolyJet were smaller (p = 0.022, 0.015 and 0.057, respectively). The dumbbell model with the hard material of MJP was smaller (p = 0.029) and that with the soft material of PolyJet was larger (p = 0.020). However, the dumbbell with the hard material of PolyJet generated low errors (p = 0.065). Finally, the simplified kidney models with the hard material of MJP and soft materials of PolyJet were smaller (p = 0.093 and 0.021) and that with the hard material of PolyJet was opposite to the former models (p = 0.043).

This study, to the best of authors’ knowledge, is the first to determine the accuracy between CAD and reference models fabricated using two different 3DP technologies with multi-materials. Thus, it serves references for surgical applications as simulators and guides that require accuracy.

The main streams of the supply chain are defined as material, information and financial flow. There have been many studies and practical cases regarding the flow of material and information including information sharing. However, financial flow related studies have not been widely examined relatively, compared with their importance.

The information sharing is recognized as the method that can reduce the Bullwhip effect in supply chain management. The author intends to analyze the impact of financial information sharing on the results of the supply chain.

In the point of supply chain risk management view, the author examined the impact of financial flow among the various factors that can impede the stability of the supply chain.

In this study, the author embodied the simulation regarding the impact of financial information flow on supply chain performance and stability based on the system dynamics methodology and analyzed the performance.

Assuming the supply chain, composed of supplying company, manufacturing company and sales company , the author embodied the simulation model and assumed that working capital and cash information sharing were achieved. The author embodied the model to affect the settlement conditions according to the results of financial information sharing.

IThis study aims to investigate the effects of the consumption motivations of restaurant customers on their perception of the importance of experiential and functional restaurant attributes.

A total of 330 questionnaires were issued in China (168) and Korea (162). The resulting data were analyzed using SPSS 22.0 to verify the reliability and validity of the measured variables. Structural equation modeling was used to test the hypotheses of the study.

The results showed that customers with hedonic consumption motivation were more sensitive to the experiential attributes than to the functional attributes of a restaurant. In addition, those customers with utilitarian consumption motivation were more influenced by functional attributes than by experiential attributes. However, these relationships differed between China and Korea. In China, the consumers’ hedonic motivation had a stronger relationship with functional restaurant attributes, which reflects a culture that emphasizes pragmatism.

This study analyzed the relationship between the motives to eat at a restaurant and the evaluation of restaurant attributes and how this differed between China and Korea, while suggesting practical implications.

The purpose of this paper is to evaluate the relationship between the Cu trace and epoxy resin and to check the validity of surface and interfacial cutting analysis system (SAICAS) by comparing its results to those of the 90° peel test.

In this study, the effects of surface morphology on the adhesion strength were studied for a Cu/epoxy resin system using a SAICAS. In order to evaluate the peel strength of the sample, the curing degree and surface morphology of the epoxy resin were varied in the Cu/epoxy resin system.

The results indicated that the peel strength is strongly affected by the curing degree and the surface morphology of the epoxy layer. As the pre-cure time increased, the interactions between the epoxy resin and permanganate during the adhesion promotion process decreased, which decreased the surface roughness (Ra) of the resin. Therefore, the surface roughness of the epoxy resin decreased with increasing pre-cure time. The curing degree was calculated with the FTIR absorption peak (910 cm−1) of the epoxy groups. The high curing degree for the epoxy resin results in a coral-like morphology that provides a better anchoring effect for the Cu trace and a higher interfacial strength.

It is necessary to study the further adhesion strength, i.e. the friction energy, the plastic deformation energy, and the interfacial fracture energy, in micro- and nanoscale areas using SAICAS owing to insufficient data regarding the effects of size and electroplating materials.

From findings, it is found that measuring the peel strength using SAICAS is particularly useful because it makes the assessment of the peel strength in the Cu/epoxy resin system of electronic packages possible.

This study aimed to estimate the economic benefits of PM2.5 emission abatement by Red Pine, Pinus Koraiensis and Quercus, using a metering model analyzing the amount of PM2.5 absorption in Korea.

To estimate the economic effects of PM2.5 adsorptions by trees, the frequency of hospital visits resulting from respiratory and circulatory diseases was estimated using a Probit model based on the data from National Health and Nutrition Survey.

The results show that Quercus and Pinus Koraiensis absorb and eliminate the largest amount of PM2.5. Reducing 1 ton of PM2.5 emission through the planting of trees leads to lower incidences of respiratory and circulatory diseases equivalent to the amount of 95 million won. When the trees planted are 2-year-old Red Pine, Pinus Koraiensis and Quercus, the resulting economic benefits of the PM2.5 abatement would amount to 481 million won, 173 million won and 1,027 million won, respectively. If the trees are 80 years old, the economic benefits are estimated to be 73 billion won for Red Pine, 103 billion won for Pinus Koraiensis and 38 billion won for Quercus.

One limitation of this study is that the weight of PM2.5 adsorbed by each leaf area entirely depended on the experimental results from a prior study and the values are likely to be different from those actually absorbed in natural surroundings. In addition, because of the lack of data from a domestic survey on the surface of leaf area or the reload flow rate of PM2.5, this study referred to data from foreign research. Unfortunately, this specific data may not reflect climatic and terrain characteristics specific to the target country. We used the annual wind speed to calculate the reload flow rate and elimination volume; however, the figures could be more accurate with hourly or daily climate variations. When estimating the health benefits of changes in PM2.5 emissions on respiratory and circulatory diseases, more segmented access to patients' hospital visits and hospital admissions are desirable. Finally, the study focused on the three major tree species of Korea, however, a more detailed study of PM2.5 reduction by various tree types is needed in the future.

This paper quantitatively assessed the amount of PM2.5 adsorption by each of the three tree species. Then, the economic benefits were calculated in terms of how much money would be saved on hospital visits thanks to the reduced PM2.5 levels and lower incidences of respiratory and circulatory system diseases. The net contribution of this study was to prove the trees' function of reducing PM2.5 as it relates to human health. We focused on the most common trees in Korea and compared them to provide new information on the species.

Despite the large number of studies on country of origin, little is known about the effects of state-level product origin information on consumer attitudes and purchase intentions. Likewise, little is known about when the state-of-origin (SOO) information enhances, has no effect or has a negative effect on consumer attitudes and purchase intentions. Primarily drawing on the country-of-origin literature, this study aims to examine the influence of SOO label information and the moderating role of state residency.

To test five hypotheses, the authors conducted a survey (Study 1) and an experiment (Study 2). The analyses included content analysis, regression and ANOVA.

The findings show that for certain products, moderate-to-strong product–state associations exist. However, when the associations are weak, consumers show bias for products made in their (vs other) states. The findings also show that when consumers evaluate their state products, normative (vs cognitive) reasons drive their attitudes, but that when they assess products from states other than their state of residency, cognitive (vs normative) reasons drive attitudes. Additionally, economic sustainability seems a powerful motivator for buying products made in their state of residency.

Companies should take advantage of positive biases for their products in the states in which they produce products. However, when companies market their products outside their states of production, in some cases, they should consider deemphasizing SOO information unless there is a strong product–state association present among consumers outside of the state.

This paper adds value by providing new insights for designing product origin labeling programs. Suggestions for future research and marketing strategies for practitioners who want to use SOO as a branding strategy are offered.

The purpose of this paper is to examine regional voting patterns in South Korea using the results from six presidential elections since the 1990s.

A χ² test was used to determine the municipalities where a regional voting pattern emerged, and λ correlation coefficients were calculated to examine changes in the regional voting patterns.

The analyses lead to three key findings. First, voting patterns differ in Yeongnam and Honam: regional voting in Yeongnam is getting weaker, it remains strong in Honam. Second, the tendency to vote along regional lines decreased significantly in the election in which the Honam party fielded a candidate with a Yeongnam appeared identity. Third, regional voting patterns declined but then stabilized at a constant level, regardless of the candidates’ local identity, which was confirmed in “Bu-Ul-Gyeong.”

This paper can empirically verify the manifestation of regional voting pattern and confirm the trend. It is possible to derive a condition for suppressing the regional voting pattern.

Among a wide array of information and communication technologies (ICTs) used to directly or indirectly support the mega events are reality boosting technologies and smart tourism technologies. Building upon the halo effect, this study aims to explain the connection between satisfaction with ICTs used in mega event, national image and event participants’ future behavior.

The analyzed data included survey responses from 246 foreigners who visited PyeongChang as a visitor for the 2018 Winter Olympics.

The results showed that both reality boosting technologies and smart tourism technologies directly or indirectly influence overall experience satisfaction by way of transaction satisfaction. Furthermore, the two types of satisfaction were found to positively influence the national image of the host country, which consequently has a positive effect on visitors’ future behavior.

This study aimed to explore two different roles of ICTs in mega events by focusing more on the visitors who came to PyeongChang for the Olympics. The originality of this study lies in its attempt to examine the mechanisms in which visitors’ satisfaction from ICT-based experiences in mega events contributes to forming a positive image toward the host country.

现实促进技术和智能旅游技术在各种 ICT中被广泛应用来直接或间接支持大型活动的。基于光环效应, 这项研究解释了对大型活动中使用的 ICT 的满意度, 国家形象, 活动参与者未来行为之间的联系。

分析的数据包括 246 位在2018 年冬季奥运会访问平昌的外国游客。

结果表明, 现实促进技术和智慧旅游技术通过直接或者间接方式接通过交易满意度影响整体体验满意度。此外, 研究发现两种类型的满意度均对东道国的国家形象形成产生积极影响, 从而对吸引未来访客的有正面影响。

通过聚焦来平昌参加奥运会的游客, 本研究旨在探索信息通信技术在大型活动中的两种不同作用。本研究的原创性在于试图检验游客在大型活动中基于 ICT 的体验满意度对形成对东道国正面的国家形象的机制。