• Smart Media Journal
• /
• v.12 no.8
• /
• pp.60-68
• /
• 2023

After COVID-19, hotel industry is rapidly experiencing changes in the business environment, and under the influence of the Fourth Industrial Revolution, hotel industry is striving to secure competitive advantages through differentiation, including the use of big data and the IoT in service provision, as well as the introduction of artificial intelligence(AI) robot services. This study analyzed the perceived value of AI robot services and their impact on usage attitudes and behavioral intentions of customers who have used hotels that have introduced AI robot services. The results of the study showed that the value of robot services perceived by customers who have used robot services in hotels is categorized into three dimensions: social, experiential, and functional, and all of them have a positive effect on usage attitudes, with social, functional, and experiential values having a positive effect on usage attitudes in that order. Attitude toward use was also analyzed to have a positive effect on behavioral intention, which is consistent with the value-attitude-behavior model. Therefore, it is necessary for hotels to improve the satisfaction of hotel guests through diversified services of AI robot service.

• Information Systems Review
• /
• v.23 no.3
• /
• pp.77-96
• /
• 2021

This research investigates the pivotal role of AI-enabled technologies in vitalizing the local economy. Collaborating with a leading search engine company, we examine the direct and indirect of an AI-based location search service on the success of sampled 7,035 local restaurants in Gangnam area in Seoul. We find that increased use of AI-enabled search and recommendation services significantly improved the selections of previously less-discovered or less-popular restaurants by users, and it also enhanced the stores' overall conversion rates. The main research findings have contributions to extant literature in theorizing the value of AI applications in local economy and have managerial implications for search businesses and local stores by recommending strategic use of AI applications in their businesses that are effective in highly competitive markets.

• Journal of Intelligence and Information Systems
• /
• v.18 no.3
• /
• pp.79-96
• /
• 2012

As the pace of competition dramatically accelerates and the complexity of change grows, a variety of research have been conducted to improve firms' short-term performance and to enhance firms' long-term survival. In particular, researchers and practitioners have paid their attention to identify promising technologies that lead competitive advantage to a firm. Discovery of promising technology depends on how a firm evaluates the value of technologies, thus many evaluating methods have been proposed. Experts' opinion based approaches have been widely accepted to predict the value of technologies. Whereas this approach provides in-depth analysis and ensures validity of analysis results, it is usually cost-and time-ineffective and is limited to qualitative evaluation. Considerable studies attempt to forecast the value of technology by using patent information to overcome the limitation of experts' opinion based approach. Patent based technology evaluation has served as a valuable assessment approach of the technological forecasting because it contains a full and practical description of technology with uniform structure. Furthermore, it provides information that is not divulged in any other sources. Although patent information based approach has contributed to our understanding of prediction of promising technologies, it has some limitations because prediction has been made based on the past patent information, and the interpretations of patent analyses are not consistent. In order to fill this gap, this study proposes a technology forecasting methodology by integrating patent information approach and artificial intelligence method. The methodology consists of three modules : evaluation of technologies promising, implementation of technologies value prediction model, and recommendation of promising technologies. In the first module, technologies promising is evaluated from three different and complementary dimensions; impact, fusion, and diffusion perspectives. The impact of technologies refers to their influence on future technologies development and improvement, and is also clearly associated with their monetary value. The fusion of technologies denotes the extent to which a technology fuses different technologies, and represents the breadth of search underlying the technology. The fusion of technologies can be calculated based on technology or patent, thus this study measures two types of fusion index; fusion index per technology and fusion index per patent. Finally, the diffusion of technologies denotes their degree of applicability across scientific and technological fields. In the same vein, diffusion index per technology and diffusion index per patent are considered respectively. In the second module, technologies value prediction model is implemented using artificial intelligence method. This studies use the values of five indexes (i.e., impact index, fusion index per technology, fusion index per patent, diffusion index per technology and diffusion index per patent) at different time (e.g., t-n, t-n-1, t-n-2, ${\cdots}$) as input variables. The out variables are values of five indexes at time t, which is used for learning. The learning method adopted in this study is backpropagation algorithm. In the third module, this study recommends final promising technologies based on analytic hierarchy process. AHP provides relative importance of each index, leading to final promising index for technology. Applicability of the proposed methodology is tested by using U.S. patents in international patent class G06F (i.e., electronic digital data processing) from 2000 to 2008. The results show that mean absolute error value for prediction produced by the proposed methodology is lower than the value produced by multiple regression analysis in cases of fusion indexes. However, mean absolute error value of the proposed methodology is slightly higher than the value of multiple regression analysis. These unexpected results may be explained, in part, by small number of patents. Since this study only uses patent data in class G06F, number of sample patent data is relatively small, leading to incomplete learning to satisfy complex artificial intelligence structure. In addition, fusion index per technology and impact index are found to be important criteria to predict promising technology. This study attempts to extend the existing knowledge by proposing a new methodology for prediction technology value by integrating patent information analysis and artificial intelligence network. It helps managers who want to technology develop planning and policy maker who want to implement technology policy by providing quantitative prediction methodology. In addition, this study could help other researchers by proving a deeper understanding of the complex technological forecasting field.

• Journal of Intelligence and Information Systems
• /
• v.24 no.3
• /
• pp.67-88
• /
• 2018

Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

• Journal of Distribution Science
• /
• v.17 no.10
• /
• pp.93-105
• /
• 2019

Purpose - First, empirical research will reveal how personal creativity affects the knowledge sharing and innovation behaviors of organizational members. Second, self-management competency will be verified to explain the causal relationship between independent and dependent variables as a mediating variable and to reduce the time interval. Research design, data, and methodology - There are two major research models. First, personal creativity (professionalism, emotional intelligence, internal motivation) has a positive impact on knowledge sharing (creation of knowledge, organization of knowledge, use of knowledge) and innovation behavior (deriving ideas, implementing ideas, promoting ideas). Second, self-management competency (intellectual capacity, emotional capacity, personality capacity) plays a mediating role. In addition to descriptive statistics and correlation analysis, Cronbach's α was calculated for 259 workers in the retail industry. In addition, confirmatory factor analysis was performed using the AMOS 24.0 program, and the influence on the measurement model was analyzed to verify the structural equation model. Results - First, personal creativity had a positive effect on knowledge sharing and innovation behavior. In other words, it was confirmed that the decision-making process accompanied by individual creativity can create an atmosphere of knowledge sharing and continue to innovate. Second, personal creativity had a positive effect on self-management competency, and self-management competency had a positive effect on knowledge sharing and innovation behavior. Third, self-management competency was found to partially mediate the influence of personal creativity on knowledge sharing and innovation behavior. Conclusions - First, it is important for managers to recognize the value of creative talents who can be a fundamental source of organizational success and competitive advantage, and to attract talented people. Second, managers should be able to develop decision-making processes to develop potential creativity and encourage creative ideas, opinions, or solutions when organizing the work environment of their members. Third, managers should promote the sharing and integration of new knowledge that underlies the creative views and attitudes of teams and organizational members. Unlike previous studies, which emphasize the role of the work environment in which creative behaviors are promoted, this study shows that creativity of individual members, itself, is an important determinant of knowledge sharing and innovation behavior.

• Korean Security Journal
• /
• no.13
• /
• pp.1-21
• /
• 2007

This study aims to analysis and measure on the curriculum of security programs in Korean university as the private security system. Civil security demand social safety life by the police protection and private security system. The private security or the civil guards shows rapid growth by the social development and improve the quality of life. But the supply and training system have some limitations in spite of the high demand guard-secretary. The main role of secretaries has been to accompany superiors in order to maintain their dignity or trait. Then the secretaries are required to play additional roles of safety managers such as a security manager, a protocol manager, an intelligence manager and a protective driver in order to overcome the domestic and the international safety environment and to elevate the quality of service as a competitive work. So, the purpose of this article is to analyze current situation of civil body and security guard training industry and to seek an educational model. For that, we examine in 'Do the professional training organizations meet social demand for the body and security guards'? And, 'What kind of training has to be provide for the body and security guards'? and 'What the qualifications of the trainers'? Then, 'What are the differences in training courses between private organizations and universities'? 'Is there differences in the job placement among the trainers of private organizations and universities'? etc.. Conclusion, the social demand common curriculum for the body and security guard will be drawn from the analysis of diverse training organizations with different training courses in contents, training periods, educational value, and social aim. Then we have to a standard curriculum for the successful training education system to provide social security.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.2
• /
• pp.129-146
• /
• 2014

In order to be successful in the very changeable competitive environment, the organization has to creative not only on the research and development but also on the Value Chain. Especially for the middle and small venture companies, they have to be creative on the Value Chain to get new profit. For the value innovation, kinds of factors which initiate the value innovation such as Meaningful Work, Risk Taking, Customer Orientation, Agile Decision-Making, Business Intelligence, Open Communication, Empowerment, Business Planning, Learning Organization and other similar factors should be included in the organization culture. By focusing on the above 9 factors with value innovation culture, the study practically analysis the effect of the Value Innovation Culture on the Individual Creativity, and the followings are the result of the study. Firstly, meaningful work, empowerment and risk taking are positively associated with expert knowledge which is one component of individual creativity. Secondly, open organization is confirmed to be positively associated with creative thinking skills. Thirdly, learning organization, empowerment and innovativeness are the factors which is positively associated with Intrinsic Motivation. These results have showed the employees' individual recognized Value Innovation Culture is confirmed to be helpful on inducing Individual Creativity.

• Korean Security Journal
• /
• no.20
• /
• pp.1-18
• /
• 2009

Recently the demand for civil protection and security guards shows rapid growth by the social development and improve the quality of life. However the supply and education system have some limitations in spite of the high demand guard-secretary. The main role of secretaries has been to accompany superiors in order to maintain their dignity or trait. However, the secretaries are required to play additional roles of safety managers such as a security manager, a protocol manager, an intelligence manager and a protective driver in order to overcome the domestic and the international safety environment and to elevate the quality of service as a competitive work. Therefore, the purpose of this article is to analyse current situation of curriculum on security guard training at the universities related to this department, and to seek an educational model for this area. For that, the following questions will be examined. First, Do the professional training organizations meet social demand for the body and security guards? Second, What kind of training has to be provide for the body and security guards? and what the qualifications of the trainers? Then, what are the differences in training courses between private organizations and universities? Is there differences in the job placement among the trainers of private organizations and universities? etc.. In summary to meet the social demand common curriculum for the body and security guard will be drawn from the analyses of diverse training organizations with different training courses in contents, training periods, educational value, and social aim. For the scholarly identity to the security and secretary studies is th following on the core curriculum, then the university curriculum is very important for that. It is need to arrange the curriculum that is actually current at College or University for the suggestions on scholarly identity and development of the security and secretary studies.

• The Journal of the Korea Contents Association
• /
• v.19 no.10
• /
• pp.315-324
• /
• 2019

In this research, one of five Hofstede's cultural dimension, Long term orientation (LTO) was selected to examine its influence on individual's change oriented organizational citizenship behavior with emotional regulation mediating. East Asian countries and Korea especially received higher score on LTO cultural dimension, meaning it valued harmony, long term relations and saving for future. Also, in today's hyper competitive and evolving global climate, the ability to adapt quickly and also to be able to control one's emotion is highly valued individual competency. Previous research on Hofstede's cultural dimensions were conducted at mostly national or large group levels. However, in this study, Yoo's CVSCALE which allowed for individual level analysis on Hofstede's cultural dimensions were used to analyze multinational company's employees's long term orientations' influence on emotional regulation and change oriented organizational citizenship behavior. The survey conducted from 200 employees from major electronic company based in S city in Korea for two weeks period and the results indicated long term orientation positively influenced change oriented organizational citizenship behavior. Also emotional regulation mediated between long term orientation felt by individuals and change oriented organizational citizenship behavior. Such results validated previous studies that indicated emotional regulation as possible antecedents of individual proactive behaviors such as change organizational citizenship behavior and long term oriented view as another potential antecedent of change oriented organizational citizenship behavior in multinational corporation setting.

• Informatization Policy
• /
• v.28 no.3
• /
• pp.49-72
• /
• 2021

This study analyzes the major content, significances, and future outlook of Three Data Acts amendment enacted in August 2020 in South Korea, with the focus on their impact on the financial and data industries. It seems that the revision of the Credit Information Act will enable the specification of a business which had previously only been regulated as the business of credit inquiry, and also enable the domestic data industry to activate the MyData industry, data trading and platforms, and specify data pseudonymization and trading procedures. For the rational and efficient implementation of the amendments to the Three Data Acts, the Personal Information Protection Committee must be as transparent and lawful in its activities as possible, and fairness must be guaranteed. Even in the utilization of personal information, the development or complementation of the related data processing technologies is essential, and clear data processing methods and areas must be regulated. Furthermore, the amendments must be supported with guarantees and the systematization of a fair competitive system in the data market, stricter regulations on penalties for illegal acts related to data, establishment and strengthening of the related security systems, and reinforcement of the system of cooperation for data transfer.