This study aims to investigate the relation between organizational metacognition, positive psychological capital, dynamic capabilities and organizational performance in the Fourth Industrial Revolution. Precedence factors includes organizational metacognition and positive psychological capital. The metacognition was generally studied in the personal learning area. This study expanded the area to an organizational area based on interviewing experts and previous researches. This research was conducted in the form of a questionnaire, with data gathered from 415 workers in Korean small and medium-sized enterprises. To achieve the purpose of this research, the hypothesis is set as follows: First, organizational metacogniztion will have a positive impact on dynamic capabilities. Second, positive psychological capital will have a positive impact on dynamic capabilities. Third, dynamic capabilities will have a positive impact on business performance. The results of the analysis reveal that both organizational metacogniztion and positive psychological capital positively contribute to dynamic capabilities, assimilation exploitaion capabilities and the absorptive transformation capability. Absorptive transformation capability of dynamic capabilities has an positive effect on only business performance. However, assimilation exploitaion capabilities is proven to have a positive effect on both the business performance and creativity.

In this study, we analyzed the effects of preferential treatment benefits, personalization, and communication, which are the relationship marketing factors of online shopping mall, on the relationship continuity intention through customer satisfaction. The results of the analysis are as follows. First, the preferential treatment benefits and communication of the relationship marketing strategy factors showed a positive(+) influence on the customer satisfaction. Second, customer satisfaction due to the relationship marketing strategy affects positively(+) on relationship continuity intention. Based on these results, we discussed the implications of this study.

Analyzing technological convergence is a critical task since it can provide a seed for understanding future technological phenomena and technological opportunity analysis. Despite the fact, however, previous studies have depended on technology-level analysis, not focusing on national level R&D. In response, this study focuses on the 6T convergence, which is macro-level technological convergence frequently occurred in national R&D project. For this purpose, this study collected 329,178 R&D projects from 2009 to 2015, preprocessed those R&D projects, and identify 26,367 technology convergence projects. We analyzed basic statistics for those convergence projects, and analyzed the phenomena for technological convergence using co-classification analysis. The co-classification analysis is conducted for both national science and technology classification and 6T classification. The network analysis is also conducted in order to represent the technological relationship occurred in technology convergence. This study can provide important clues for planning and operating national R&D projects.

This study was aiming to give a guideline for the prevention of accidents of taxi drivers. In order to investigate the effect of working conditions on the traffic accidents, it is necessary to investigate the effect of taxi service on the traffic accidents because it is known as one of the industries with high work intensity and high turnover rate. To examine the effect of work fatigue on traffic accidents, the index of driving fatigue for taxi companies is used. The higher the number of career years and the average years of service, the lower the number of driving habits associated with speeding and the number of cases of sudden acceleration and rapid acceleration. The higher the retirement rate in the past one year, the one year retirement rate in the past one year, and the higher the operational fatigue, the more positive impact on traffic accidents.

Recent changes in the automobile industry seem to be proceeding in a different direction from the trajectory developed over the last 100 years and the convergence of the ICT technology and the automobile industry is becoming reality. Judging whether the current trend of smart car technology has the power to change the paradigm of the automobile industry is of great significance when analyzing the automobile industry. In this study, we systematically classified smart car technology based on existing literature on smart cars, various government reports and patent data, and based on this we conducted an in - depth technical analysis on smart vehicle technology using the collected patent data. The results of the analysis are as follows. First, smart car technology has been growing rapidly since 2011. Second, if you look at smart car technology from a quantitative perspective on patent applications, GM is the most active in technology development among the existing “Big Five” makers. Toyota, Hyundai Motor Co. and Renault Nissan are top-ranked, Volkswagen is relatively lagging behind. Third, patent applications are mostly made by parts and materials manufacturers, ICT companies, and platform companies such as Google, rather than by existing car makers. Fourth, in the past, technology trends have been focused on safety-related technology, but today's smart car technology focuses on communication related technology. This trend will further accelerate the convergence of the automobile industry and the ICT industry. In summary, when we look at the technology application related to smart cars, the main players are those related to the ICT industry, not to the existing car makers, and from the technical point of view the technology is developing in a new area that is not the powertrain centered on engines and transmissions being the original technology of the existing automobile industry. In the end, the convergence of industries, that is, the convergence of the ICT and the automobile industry, will change the automobile industry into a different shape in the future and it seems highly likely that the automobile industry will be reborn as a new industry called smart cars. This will certainly serve as a window of opportunity for new latecomers.

Nothing new but understandably integrated context of an real options theory may be hopefully found in this paper. An abundant research on the real options theory has been made since the beginning of the 2000s being conceived that it effectively deals with uncertainty inherent in engineering projects. However, when engineers are faced with the theory at first, they usually have difficulty in understanding it for four major drawbacks observed by many researchers: (1) the unfamiliar financial terminologies, (2) a disconnection between real options and financial option theories, (3) a variety of real options implementation methods sporadically proposed by many a different researcher, and (4) the unmatched interpretation of the real options value with the financial option one. In this paper, each drawback will be explained in an introductory level with hope that the paper will provide for the engineers to grasp a rough but right glimpse of the real options theories.

This study examined how user experience of new technology affects the likelihood of re-usage intention of 3D printers. The study was conducted on employees of B2B business with potential adoption of 3D technologies, and the subjects were able to experience and learn about the 3D printing technology in-person. The framework of this study based on the Technology Acceptance Model(TAM) by Davis (1989) with perceived risk, task-technology fit, experiential satisfaction, and reuse intention. Total of 133 participants who are working for B2B business experienced 3D printers in the lab to manufacture a mocking product and answered a structured survey after trial. The results indicated following contributions: first, the perceived easy of use of the 3D printing technology had a positive effect on the attitude towards the 3D printers, but the perceived usefulness did not have an effect. Also, the perceived risk on using a 3D printer has a negative effect. Finally, while the attitude towards a 3D printer had a positive effect on the satisfaction, it did not have an effect on the re-usage intention of 3D printer.