• International Commerce and Information Review
• /
• v.16 no.3
• /
• pp.431-463
• /
• 2014

This paper analyzed the effect of the alliance capabilities needed for each stage of alliance lifecycle(search & negociation, contract, operation, evaluation/termination) according to the alliance life cycle of SMEs consulting firms on the performance, and the moderating effect of the partnership & entrepreneurship between the process capabilities and performance using the multi-group analysis The result shows that searching & operational capabilities have a positive impact on the customer & learning performance, not contracting and termination capabilities, and the partnership & entrepreneurship moderated between the process capabilities and alliance performance. This study shows that the operation stage in the alliance life cycle is the most important, in this process alliance partners show the higher partnership & entrepreneurship than any other stages.

• Journal of Industrial Convergence
• /
• v.20 no.11
• /
• pp.113-126
• /
• 2022

In Small and Medium-sized Enterprises(SMEs) compared to major, competence of CEO relatively has a large impact on management performance, so the biggest factor to strengthen the competitiveness is the competence of CEO. Meanwhile, a consultant is defined as a subject of execution that directly and indirectly participates in management by inducing objective and rational decision-making on various management issues and problems facing companies. The management expertise, problem-solving skills, communication skills, insights, and leadership that a consultant must have in order to perform his or her duties are the same as the role and capabilities that the CEO must have in enhancing the company's performance and competitiveness. Therefore, through previous studies, this study divided consultant competences of CEO into job competence, communication competence, learning competence, and innovation competence and tried to understand whether those competences affect corporate's innovation performance and management performance. The survey was conducted on SMEs and the analysis techniques were reliability and validity analysis, confirmatory factor analysis, and structural equation analysis. As a result, it was found that the CEO's job competence, communication competence, learning competence, and innovation competence had a significant effect on innovation performance of the company, and second, innovation performance had a significant effect on the management performance. Through, this study derived a common factor of consultant competences of SMEs CEO, and derived implications for the competence characteristics of the CEO necessary to improve the performance of SMEs.

• Journal of Intelligence and Information Systems
• /
• v.8 no.1
• /
• pp.103-117
• /
• 2002

Recently, many researchers have developed applications for automated contract and negotiation using agent technologies on electronic commerce. Especially, they have tried to study negotiation mechanism applying agent instead of buyers and sellers. Traditional researches, however, often had limitations. In the researches of automated negotiation, the agents had to negotiate with the other agents for a simple negotiation issue because the mechanisms were naive. In the researches of negotiation by user interaction, the agents did not have supported the procedures and methodologies for making the automated negotiation but only supported the users by providing communication environment during the negotiation process by users. In this paper, we propose efficient negotiation model using the modified negotiation model of the game theory. In the proposed model, the agents negotiate automatically with the partner agent and make good benefits by the strategic method during the negotiation process. Each agent makes negotiation issues with user's requirements and exchanges its suggestion alternatively in each step of the negotiation process. The agent evaluates degree of satisfaction for the opposite's suggestion and uses it in the next step of suggestion. To find out the negotiation strategies of opposite side, the agent uses teaming by weights of issues. As a result, the agent improves each own benefits for the contract and reduces the unbalance of its benefits through the proposed negotiation mechanism. We implement the negotiating agents according to the proposed mechanism and prove the efficiency of the proposed model by various experimentation.

• Journal of Korea Technology Innovation Society
• /
• v.11 no.4
• /
• pp.476-509
• /
• 2008

This research investigates the determinant factors of technology licensing contracts and the relative importance of each factor. To accomplish this objective we classify various factors affecting technology licenses into two categories, technology and environment, and conduct an Analytic Hierarchy Process (AHP) with a Korean expert survey. From the AHP results, we find that the possibility of commercial success, as well as the scope and levels of exclusive rights which are transferred together with technology to the licensee, are very important among technological factors in technology transfer. Moreover, we conclude that the technology utilization capacity and the learning capabilities of the licensee are also important environmental factors. Finally, we conclude that the factors which the licensor and licensee consider in technology transfer are different from each other. Based on this result, we discuss implications with regard to reducing this factor gap between the licensor and licensee as a means of promoting and improving technology transfer in the Republic of Korea.

• Journal of Digital Convergence
• /
• v.11 no.1
• /
• pp.199-209
• /
• 2013

This study empirically investigates how the switching barriers influence the consumer's perceived intention to change his or her current favorite internet shopping mall. Drawing from switching cost theory, variables pertaining to trust, shopping mall service quality, product price, web page quality, switching barriers were examined to examine the consumer's behavioral intention to switch to another shopping mall. The interaction effect of consumer involvement was also included in the research model. The results of the study report that customer satisfaction and switching cost influence shopping switching intention, while the effect of attractiveness of the shopping mall was not significant in the statistical analysis. Furthermore, a moderating effect of consumer involvement was not found significant in the PLS analysis. The study demonstrates the shopping mall owners try to increase the customer's overall satisfaction and raise the switching barrier by providing mileage advantages, for instance.

• Journal of the International Relations & Interdisciplinary Education
• /
• v.1 no.1
• /
• pp.61-79
• /
• 2021

In order to implement an artificial intelligence lawyer, this study looked at how to structure legal principles, and then gave specific examples of how structured legal principles can be expressed in predicate logic. While previous studies suggested a method of introducing predicate logic for the reasoning engine of artificial intelligence lawyers, this study focused on the method of expressing legal principles with predicate logic based on the structural appearance of legal principles. Jurisprudence was limited to the content of articles and precedents, and the vertical hierarchy leading to 'law facts - legal requirements - legal effect' and the horizontal hierarchy leading to 'legal effect - defense - defense' were examined. In addition, legal facts were classified and explained that most of the legal facts can be usually expressed in unary or binary predicates. In future research, we plan to program the legal principle expressed in predicate logic and realize an inference engine for artificial intelligence lawyers.

• Korean Journal of Social Welfare
• /
• v.56 no.3
• /
• pp.327-355
• /
• 2004

The field instruction is essential to professional social work education. It is important to identify what factors make students' performance improve. 207 social work students who completed the field practicum in their undergraduate course were studied to determine factors associated with performance. The mean score of supervision was 2.6 and of practice performance was 56.7. Especially the score of theory integrated supervision was lowest among 5 supervision factors. Intervention skills and case-management skills were lower than 3 other performance factors. The significant correlation found to exist between supervision and performance. The higher the students' perception of supervision, the higher the students rating of their performance. Contributing most to students' performance was students' perceptions of the extent of supervision, especially theory integrated supervision and agency-based supervision, the extent of discussion about learning contracts, the amount of supervision. And the personal factors like students' gender and supervisors' career duration as a supervisor were found to be another predictors. That is, female students could improve their performance more than male students and more experienced supervisors could not improve students' performance. The findings highlight the importance of supervision and learning contract. Structuring field learning experiences would be needed. The supportive and educative consults for the supervisors, especially for the experienced supervisors, and ongoing efforts to evaluate the field instruction were suggested.

• Journal of Digital Convergence
• /
• v.13 no.7
• /
• pp.33-45
• /
• 2015

Present study aims to describe who are the non-regular female workers in South Korea. The dominant form of employment of Korean female non-regular workers is characterized by instable contract, low wage, long-time work and exclusion from the state and occupational welfare. Also, non-regular female workers are not homeogenous but there are various groups of women among female non-regular workers including young part-time workers, high educational middle class contract professionals, particular contract workers such as home-schooling teachers. However, it would worth noting that over 40s, low-educational, low income, breadwinning women who are working in sales, service, and simple handy job are most likely to become non-regular female workers in South Korea. Those women are the major group among non-regular female workers. The public assistance (in cash) for non-regular workers are necessarily needed for them at this point in South Korea.

• Journal of Service Research and Studies
• /
• v.7 no.2
• /
• pp.17-41
• /
• 2017

The purpose of this research is to investigate the factors that impact customer satisfaction and loyalty in mobile payment services. Specifically, this research (1) studies the influence of company reputation on customer satisfaction and loyalty, (2) examines service quality dimensions that increase customer satisfaction, and (3) assesses switching barriers as moderators in influencing customer loyalty. Findings of this empirical research reconfirm the point of view that company reputation, service quality, and switching barriers are crucial for customer satisfaction in mobile payment services. The research methodologies that were used to verify the hypothesis in this study included customized surveys and structural equation modeling. The results demonstrated that company reputation significantly affects customer satisfaction and loyalty. Additionally, the results indicated that only two of the five total service qualities, ease of use and the security/privacy qualities, have positive influences on customer satisfaction. Customer satisfaction has also proven to be a significant influence on loyalty. Lastly, the results showed that among the factors of switching barriers, the factors of lost performance costs, sunk costs, setup costs, the attractiveness of alternatives, and service recovery have moderating effects on the relationships between customer satisfaction and loyalty. Base on the results, this research recommends that firms aim at devising integrated strategies that make switching barriers act as complements to customer satisfaction.

• Journal of Intelligence and Information Systems
• /
• v.20 no.2
• /
• pp.59-71
• /
• 2014

System trading is becoming more popular among Korean traders recently. System traders use automatic order systems based on the system generated buy and sell signals. These signals are generated from the predetermined entry and exit rules that were coded by system traders. Most researches on system trading have focused on designing profitable entry and exit rules using technical indicators. However, market conditions, strategy characteristics, and money management also have influences on the profitability of the system trading. Unexpected price deviations from the predetermined trading rules can incur large losses to system traders. Therefore, most professional traders use strategy portfolios rather than only one strategy. Building a good strategy portfolio is important because trading performance depends on strategy portfolios. Despite of the importance of designing strategy portfolio, rule of thumb methods have been used to select trading strategies. In this study, we propose a SVM-based strategy portfolio management system. SVM were introduced by Vapnik and is known to be effective for data mining area. It can build good portfolios within a very short period of time. Since SVM minimizes structural risks, it is best suitable for the futures trading market in which prices do not move exactly the same as the past. Our system trading strategies include moving-average cross system, MACD cross system, trend-following system, buy dips and sell rallies system, DMI system, Keltner channel system, Bollinger Bands system, and Fibonacci system. These strategies are well known and frequently being used by many professional traders. We program these strategies for generating automated system signals for entry and exit. We propose SVM-based strategies selection system and portfolio construction and order routing system. Strategies selection system is a portfolio training system. It generates training data and makes SVM model using optimal portfolio. We make $m{\times}n$ data matrix by dividing KOSPI 200 index futures data with a same period. Optimal strategy portfolio is derived from analyzing each strategy performance. SVM model is generated based on this data and optimal strategy portfolio. We use 80% of the data for training and the remaining 20% is used for testing the strategy. For training, we select two strategies which show the highest profit in the next day. Selection method 1 selects two strategies and method 2 selects maximum two strategies which show profit more than 0.1 point. We use one-against-all method which has fast processing time. We analyse the daily data of KOSPI 200 index futures contracts from January 1990 to November 2011. Price change rates for 50 days are used as SVM input data. The training period is from January 1990 to March 2007 and the test period is from March 2007 to November 2011. We suggest three benchmark strategies portfolio. BM1 holds two contracts of KOSPI 200 index futures for testing period. BM2 is constructed as two strategies which show the largest cumulative profit during 30 days before testing starts. BM3 has two strategies which show best profits during testing period. Trading cost include brokerage commission cost and slippage cost. The proposed strategy portfolio management system shows profit more than double of the benchmark portfolios. BM1 shows 103.44 point profit, BM2 shows 488.61 point profit, and BM3 shows 502.41 point profit after deducting trading cost. The best benchmark is the portfolio of the two best profit strategies during the test period. The proposed system 1 shows 706.22 point profit and proposed system 2 shows 768.95 point profit after deducting trading cost. The equity curves for the entire period show stable pattern. With higher profit, this suggests a good trading direction for system traders. We can make more stable and more profitable portfolios if we add money management module to the system.