As engineering is required to answer directly and more heartily than before the requirement of society and markets, we want to answer the following questions. What kind of open innovation channels exist, and how can these channels operate as a knowledge funnel to conquer the growth limit of capitalism in the 4th industrial revolution? At first, we built up the concept model of open innovation engineering from a conceptual experiment and attempted to prove this model by literature reviews. Second, we applied this open innovation concept model at the papers of Society of Open Innovation: Technology, Market, and Complexity (SOI) 2019 Special Issues of Electronics as a preliminary study. Additional field researches on each open innovation engineering channel in addition to research on finding out more open innovation engineering channels are required.

The purposes of the study are to estimate inbound tourism demand and to analyze the effect of the Korean Wave and Economic indicators on it. For these purposes, we examined the influence of Korean Wave, GDP, CPI and exchange rate on inbound tourism demand for foreign tourists from the USA, China, Japan and Hong Kong to Korea. In order to measure the Korean wave, the export amount of Hallyu related contents exported to each of the four countries is used. GDP means the GDP of each of the four countries. However, the CPI and the exchange rate are relative to Korea. Penal data on tourism demand, Korean Wave, and Economic indicators from 1997 to 2014 are collected for analysis. Through the various tests for panel analysis model selection, the best fit model proved to be a random effect model. As a result, Korean Wave, GDP, and exchange rate have a statistically significant impact on tourism demand. Therefore, it can be seen that the Korean Wave is one of the important factors for attracting foreign tourists to Korea in four countries. Also, the results show that overseas tourism increases when the economic income of the country is high and the exchange rate is favorable. However, CPI does not appear to have a statistically significant impact on tourism demand. This indicates that tourists are not overly concerned about the cost of the travel country when planning a trip.

In this paper, the effects of novelty-seeking and food involvement on food tourism behavior and the effect of food tourism behavior on intention to revisit the Jeonju Bibimbab Food Festival are studied. Additionally, the effects of attitude, anticipated emotions, perceived behavioral control, and subjective norms on intention to revisit through desire are identified. Three hundred and forty questionnaires are used for the study. These are analyzed with partial least squares structural equation model (PLS-SEM) using SmartPLS 2.0. The results show that two variables of novelty-seeking and food involvement have positive effects on food tourism behavior. It is also found that the effect of food involvement is higher on the food tourism behavior than that of novelty-seeking. This is because survey respondents are mostly domestic visitors, and for them, Bibimbab itself is familiar. In addition, the food tourism behavior has a significant effect on the intention to revisit the Jeonju Bibimbab festival. It implies that people who like to travel to enjoy food are also interested in the food festival.

The purpose of this paper is to study consumer acceptance of the Home Energy Management System, which is the next generation electronic management system that the Korean government plans to implement in households. The Home Energy Management System is a critical device in maximizing the efficiency of electric energy consumption for each household by using a smart grid. Because it can visualize real-time price information on the electricity, households can easily monitor and control the amount of electricity consumption. With this feature, the Home Energy Management System can contribute to consumers’ total energy savings. This is a major reason why the Korean government wishes to implement it nationwide. Since the Home Energy Management System is a product that applies new technology that has not yet been directly encountered by consumers, there may be a difference in the level of public perception of the Home Energy Management System. Therefore, the impact of consumers’ awareness of the Home Energy Management System on their intention to use is important. To do this, the Technology Acceptance Model is utilized in this study. Traditional research on the Technology Acceptance Model includes awareness of usefulness and ease of use as well as intention to use. In contrast, in this research, an extended Technology Acceptance Model with four additional factors—economic benefit, social contribution, environmental responsibility, and innovativeness—that may affect the consumer’s awareness of usefulness and ease of use, is proposed. To collect the data, the survey was conducted with 287 respondents. As a result, the proposed model proved to be suitable in explaining the intention to use with a 70.3% explanation power. It is found that economic benefit (0.231) and innovativeness (0.259) impact on usefulness of the Home Energy Management System. Moreover, usefulness (0.551) has a bigger effect on intention to use than ease of use (0.338) does. Based on this, it is desirable for the Korean government to pursue a public relations strategy that emphasizes the economic benefits, social contributions, and environmental responsibility that will be gained when introducing the Home Energy Management System. It is effective to focus on consumers who are inclined to accept innovation. In addition, more effective results can be obtained by referring to the usefulness of the Home Energy Management System rather than referring to ease of use.

The job-shop scheduling problem (JSSP) is known to be NP-hard. Due to its complexity, many metaheuristic algorithm approaches have arisen. Ant colony metaheuristic algorithm, lately proposed, has successful application to various combinatorial optimisation problems. In this study, an ant colony optimisation algorithm with parameterised search space is developed for JSSP with an objective of minimising makespan. The problem is modelled as a disjunctive graph where arcs connect only pairs of operations related rather than all operations are connected in pairs to mitigate the increase of the spatial complexity. The proposed algorithm is compared with a multiple colony ant algorithm using 20 benchmark problems. The results show that the proposed algorithm is very accurate by generating 12 optimal solutions out of 20 benchmark problems, and mean relative errors of the proposed and the multiple colony ant algorithms to the optimal solutions are 0.93% and 1.24%, respectively.