This study applies the Delphi method to design services with convergence characteristics in the financial sector. In designing a service robot for practical deployment that can support and replace bank teller, the opinions and judgments of various expert groups were extracted and a consensus process was made through feedback. A total of six dimensions and thirty service elements were derived over three rounds. Coefficient of Variation and content validity were used to verify the suitability and reliability of the selected service elements. As a result, the essential service element of robots was interaction with customers, followed by basic and professional financial services. Based on these service factors, we proposed two types of service models. support mode to assist employees during business hours and alternative mode on behalf of employees outside business hours. It is hoped that this study will use the Delphi technique in the design of IT convergence services.

Recently, various attempts have been made to discover promising items and technologies. However, there are very few data-driven approaches to support business diversification by companies with specific technologies. Therefore, there is a need for a methodology that can detect items related to a specific technology and recommend highly marketable items among them as business diversification targets. In this paper, we devise Labeled Item Network for Business Diversification Consulting Support System. Our research is performed with three sub-studies. In Sub-study 1, we find the proper source documents to build the item network and construct item dictionary. In Sub-study 2, we derive the Labeled Item Network and devise four index for item evaluation. Finally, we introduce the application scenario of our methodology and describe the result of real-case analysis in Sub-study 3. The Labeled Item Network, one of the main outcome of this study, can identify the relationships between items as well as the meaning of the relationship. We expect that more specific business item diversification opportunities can be found with the Labeled Item Network. The proposed methodology can help many SMEs diversify their business on the basis of their technology.

The purpose of this study is to measure corporate personality by analyzing the internal employees' corporate reviews and to identify the impact of the representative corporate personality on the relationship between job satisfaction of internal employees and the turnover rate of the company. To this end, we first created a dictionary of words representing the corporate personality with a Word2vec method based on words explaining five corporate personalities, such as reliability, initiative, practicality, activism, and femininity, obtained from the preceding study. Next, we analyzed reviews which were written by internal employees on their companies to measure the score of corporate personality at a review level, aggregated the review level scores for each company to calculate the company level score of corporate personality, and assigned to each company the corporate personality with the maximum score among the five such scores. Also, job satisfaction and turnover rate were measured from internal employees' corporate evaluation scores and the percentage of former employees of each company who left a review on the company, respectively. This study collected datasets of corporate reviews, employee information, and corporate information from Job-Planet from 2014 to 2017, conducted a technical statistic check and correlation analysis to confirm the suitability of the datasets, and performed linear regression analysis to evaluate the research model and verify hypotheses. As a result of the analysis, the job satisfaction of the internal staff has a significant negative impact on the corporate's turnover rate. In addition, companies having a personality of reliability, initiative and femininity also showed a significant cause-and-effect relationship between job satisfaction and turnover rate and among them, job satisfaction of companies having a personality, initiative, showed a greater impact on turnover rate. In sum, we not only proposed a novel method of measuring corporate personality, but also showed that corporates need to identify its corporate personality and to utilize a different strategy to reduce their employee's turnover rate depending on the corporate personality.

The proportion of digital evidence in criminal cases has increased, while at the same time, the spread of the Internet has made it easy to delete information that is stored in another place and thus, the Internet is being used to delete online criminal evidence. To respond quickly and effectively to cybercrime, 29 countries signed the Convention on Cybercrime in 2001 through the Council of Europe. Article 16 of the Convention relates to the expedited preservation of stored computer data and requires signatories to adopt legislative measures to enable its competent authorities to order expeditious preservation of specified computer data where there are grounds to believe that the data is particularly vulnerable to loss or modification. More than 60 countries have joined the Convention since 2001 and have made efforts to improve their legal system in line with it. The United States legislated 18 U.S.C. § 2703(f) to preserve electronic evidence pending the issuance of a court order. The German Code of Criminal Procedure §§ 94~95 allows prosecution authorities to seize evidence or issue production orders without court control in urgent circumstances. A custodian shall be obliged to surrender evidence upon a request that evidence be preserved, and non-compliance results in punishment. Japan legislated the Criminal Procedure Act § 197(3) and (4) to establish a legal base for requesting that electronic records that are stored by an ISP not be deleted. The Korean Criminal Procedure Act § 184 outlines procedures for the preservation of evidence but does not adequately address the expeditious preservation of digital evidence that may be vulnerable to deletion. This paper analyzes nine considerations, including request subjects, requirements, and cost reimbursement to establish directions to improve the legal system for the expedited preservation of digital evidence. A new method to preserve online digital evidence in urgent cases is necessary.

This study empirically investigates the design factors that could engender positive impacts on consumers' user experiences with respect to trust, attitude, and intent to purchase a product promoted in the virtual reality (VR) e-commerce environment. Guided by previous literature, we specifically test the role of schema congruity due to the design of the space and virtual agent on trust, attitude, and purchase intention in the context of VR e-commerce. To test the effect of the congruency between user's schema and virtual environment design on user intentions, a 2 × 2 mixed ANOVA design experiment was conducted with place creativity (Low vs. High) as a within factor and workplace attire (Casual vs. Formal) as a between factor. The result showed support for the effect of schema congruity on trust, in that interaction of the two factors were found. Significant positive relationship between trust, attitude, and purchase intention was found. Further implications are discussed based on results.

The wireless power transmission market is growing at an average annual rate of 51.5% from $ 16.4 billion in 2015 to $ 131.1 billion in 2020. However, there are limitations to commercialization due to the development of standards and technologies. Thus, this study identified trends in standards and regulations by market and by country. The research collected and filtered a total of 69,488 worldwide wireless power transfer patents by June 2019 and extracted a total of 28,555 patents. Based on this, technology development status was analyzed and predicted. In this study, long-distance and short-range technology development with high technology development difficulty and low technology development ratio could lead to growth of the entire wireless charging market. It is analyzed that investment and policy preparation are necessary to secure source technology for long-distance / near technology development than China, Japan and Europe.

Electronic voting is one of information technology service to handle a wide range of functions, including registration, certification, input and results of voting, using electronic technology, depending on the degree of automation. It helps voters exercise their voting rights not only for individual suffrage but also for major corporate decisions as shareholders by expressing their opinions regardless of geographical and time constraints. Such electronic voting helps open and expand voting participation, but on the contrary, it is possible to identify who voted and what kind of vote, such voting cannot guarantee confidentiality. Therefore, if blockchain technology is applied to electronic voting, it can increase the speed of processing and confidentiality by encrypting voting information. In this regard, the study aims to identify institutional issues on how electronic voting can be activated at a company's shareholders' meeting, and to find ways to overcome the limitations of existing electronic voting by utilizing the technical characteristics of blockchain. This study proposes a consortium-type blockchain-based electronic voting system to enhance the convenience and reliability of electronic voting for shareholders' meetings. In addition, this paper suggests how to enhance shareholders' profits through electronic voting at shareholders' meetings, as well as its policy measures and future improvements.

The development of information technology leads to changes in various industries. In particular, the health care industry is more influenced so that it is focused on. With the widening of the health care market, the market of smart device based personal health care also draws attention. Since a variety of fitness applications for smartphone based exercise were introduced, more interest has been in the health care industry. But although an amount of use of mobile fitness applications increase, it fails to lead to a sustained use. It is necessary to find and understand what matters for mobile fitness application users. Therefore, this study analyze the reviews of mobile fitness application users, to draw key factors, and thereby to propose detailed strategies for promoting mobile fitness applications. We utilize text mining techniques - LDA topic modeling, term frequency analysis, and keyword extraction - to draw and analyze the issues related to mobile fitness applications. In particular, the key factors drawn by text mining techniques are explained through the concept of user experience. This study is academically meaningful in the point that the key factors of mobile fitness applications are drawn by the user experience based text mining techniques, and practically this study proposes detailed strategies for promoting mobile fitness applications in the health care area.

There are now many different commercial weather sensors suitable for smart farms, and various smart farm devices are being developed and distributed by companies participating in the government-led smart farm expansion project. However, most do not comply with standard specifications and are therefore limited to use in smart farms. This paper proposed the connecting structure of operating non-standard node devices in smart farms following standard specifications supporting smart greenhouse. This connecting structure was proposed as both a virtual node module method and a virtual node wrapper method. In addition, the SoftFarm2.0 system was experimentally operated to analyze the performance of the implementation of the two methods. SoftFarm2.0 system complies with the standard specifications and supports non-standard smart farm devices. According to the analysis results, both methods do not significantly affect performance in the operation of the smart farm. Therefore, it would be good to select and implement the method suitable for each non-standard smart farm device considering environmental constraints such as power, space, distance of communication between the gateway and the node of the smart farm, and software openness. This will greatly contribute to the spread of smart farms by maximizing deployment cost savings.

This paper describes a study on the FRACAS(Failure Reporting Analysis and Corrective Action System)-based dependability control platform for domestic urban railway trains. There are more demands for the verification of the dependability of trains as it becomes a regulation for train manufacturers to verify the dependability recently. Train manufacturers as well as railway operators need a effective FRACAS solution to perform the verification of the dependability. Yet current FRACAS solutions have limitations to support the verification processes effectively. This paper addresses the issues of current FRACAS solutions and suggests a FRACAS framework designed for the domestic urban railway trains. Service failure scenarios are standardized using the proposed availability model to implement a more user-friendly and reliable platform. A new FRACAS-based platform for the dependability control (SCARF^®) has been developed to implement the suggested framework. The detail interfaces and functions of the platform are explained. The SCARF^® platform is expected to engage the increasing demands for the dependability control successfully enhancing the reliability, maintainability, availability and safety of domestic urban railway trains eventually.