• Title/Summary/Keyword: empirical learning theory

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The Effect of Resource, Mechanism Relatedness and Gap on International Knowledge Transfer (본사 자원과 메커니즘의 유사성과 격차가 합작투자기업의 학습효과에 미치는 영향)

  • Cho, Hyung Gi
    • Knowledge Management Research
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    • v.11 no.4
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    • pp.41-66
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    • 2010
  • This research examines the effect of the relatedness and the gap between Resources and mechanisms on effectiveness of inter-organizational knowledge transfer. According to the literature, there has been a competing theory between two claims; one is that inter-organizational knowledge transfer will be more effective due to the reduction of the transaction cost as the relatedness increases. And the other is that the mutual complementarity of different organizational characteristics will increase synergy. In total, the relatedness and the gap of the Resource and mechanism makes the inverted U-shaped relationship with the inter-organizational knowledge transfer. As the result of empirical analysis about 109 Korean-based Joint Ventures entered country, it shows that the relatedness of parent company's production Resources, learning mechanisms, and coordination mechanisms made the inverted U-shaped relations with the inter-organizational knowledge transfer and the gap of production Resources and adjustment mechanism formed the same relationship. However, the U-shaped relationship has been established in the relatedness of market Resources, but the gap of market Resources and the learning mechanism was not statistically significant. Through this study, I can draw a best conclusion that the inter-organizational knowledge transfer will be more effective when the relatedness and the gap of management resources and mechanisms is in optimal level. However, when it comes to market Resources, it can be inferred that the result could be the opposite because the partner country's market environment would be different.

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A Study on the Relationship between International Patenting and Export Performance (국제 특허 활동과 수출 성과 간의 관계에 대한 연구)

  • Mun, Hee-Jin;Choe, Soon-Kyoo
    • Korea Trade Review
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    • v.42 no.3
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    • pp.49-74
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    • 2017
  • Drawing on the organizational learning theory, we argue that international patenting allows firms to assess the potential value of their innovation in host countries and find out latent local competitors. The information obtained from international patenting enables firms to make refined innovations that facilitate export performance. However, structural inertia and old knowledge can impede learning from international patenting. Thus, we expect larger firms and older firms to display greater reluctance to use the knowledge obtained from international patenting. Our empirical analysis of Korean pharmaceutical companies from 1998 to 2010 shows that international patent application increases export intensity but firm size and age weaken the positive effect of international patenting on export performance.

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Structural Analysis of e-Government in India

  • Basettihalli, Rangamani;Kim, Hee-Woong;Lee, Hyun-Lyung;Noh, Seung-Eui
    • Asia pacific journal of information systems
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    • v.20 no.2
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    • pp.1-21
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    • 2010
  • e-Government is an innovative phenomenon around the globe for refurbishing public administration. Research to date, however, has been deficient in empirical studies of the factors that emerge out of the interplay of structure and human interactions responsible for successful implementation of e-Government projects. From the perspective of structuration theory, this study examines and explains the impact of this interplay in the implementation of an e-Government system, eSeva for local administration at one of the Indian state, The results suggest that the success of implementation of e-Government projects can be conceptualized as the outcome of persisting constructive interrelationships among the human, programmatic and institutional elements of e-Government and the critical learning and adaptation as a result of efforts at the structuration level.

An Empirical Study on the Integrated Organization Abilities in Third Party Logistics Korean Company for Reduction of Export Expense (수출비용절감을 위한 3PL업체의 통합조직능력에 관한 실증연구)

  • Lee, Sang-Ok;Lee, Moon-Kyu;Bang, Hyo-Sik
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.50
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    • pp.187-212
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    • 2011
  • Third party logistics research is searching for increasing its logistics efficiency of organization. Perspective of resource-based theory, this study is to reveal the exploratory relation between integrated capabilities, organzaiton knowledge, and service performance. To develop the relational model, this study conducted a theoretical survey on Shang(2009)'s 3PL service providers research model and Synder & Cumming(1998)'s learning of organization knowledge. According to the result of correlation analysis, Integrated organization knowledge is positively correlated with service diversity advantage (correlation coefficient= .670, p-value= .000) and service quality advantage (correlation coefficient= .575, p-value= .000). The thesis argued that Korean companies try to apply integrated organization abilities and service performance for cutting their export expense.

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Quantile Co-integration Application for Maritime Business Fluctuation (분위수 공적분 모형과 해운 경기변동 분석)

  • Kim, Hyun-Sok
    • Journal of Korea Port Economic Association
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    • v.38 no.2
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    • pp.153-164
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    • 2022
  • In this study, we estimate the quantile-regression framework of the shipping industry for the Capesize used ship, which is a typical raw material transportation from January 2000 to December 2021. This research aims two main contributions. First, we analyze the relationship between the Capesize used ship, which is a typical type in the raw material transportation market, and the freight market, for which mixed empirical analysis results are presented. Second, we present an empirical analysis model that considers the structural transformation proposed in the Hyunsok Kim and Myung-hee Chang(2020a) study in quantile-regression. In structural change investigations, the empirical results confirm that the quantile model is able to overcome the problems caused by non-stationarity in time series analysis. Then, the long-run relationship of the co-integration framework divided into long and short-run effects of exogenous variables, and this is extended to a prediction model subdivided by quantile. The results are the basis for extending the analysis based on the shipping theory to artificial intelligence and machine learning approaches.

The Implication of Bandura's Vicarious Reinforcement in Observational Learning for Christian Education (관찰학습에서의 반두라 대리강화에 대한 기독교교육적 함의)

  • Lee, Jongmin
    • Journal of Christian Education in Korea
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    • v.61
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    • pp.81-107
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    • 2020
  • This study reviews Bandura's vicarious reinforcement in observational learning process and implies this concept into Christian education in terms of spiritual role modeling. The first part of this study answers three questions: "what is vicarious reinforcement?" "how does vicarious reinforcement take place in observational learning?" and "how does vicarious reinforcement affect observer's behavior change?" Bandura conceptualizes the learning process with observational learning and imitative or non-imitative performance. Based on this concept, Bandura define the roles of vicarious reinforcement in the four steps of observational learning process: attention, retention, motor reproduction, and motivational process. Also, the three effects of vicarious reinforcements are explained in the following categories: the observational learning effect, inhibitory or disinhibitory effects, and eliciting effect. Adapting the structure of observational learning theory in terms of the effect of vicarious reinforcement and the function of role models, the second part of this study examines the biblical concept of imitation of Christ and the modeling strategy of discipleship. Especially Paul's spiritual role model serves as positive vicarious reinforcement for the Christian believers to perform the desired behaviors. Also, Paul's condemnation serves as explicit negative vicarious reinforcement. Then, the last part of this study covers the implication of these findings from observational learning and empirical studies in terms of spiritual role modeling to Christian education.

The Effects of Conflict Resolution Strategies on Relationship Learning and Performance (갈등해결전략이 관계학습과 성과에 미치는 영향)

  • Noh, Won-Hee;Song, Young-Wook
    • Journal of Distribution Research
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    • v.17 no.3
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    • pp.93-113
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    • 2012
  • Early conflict research in channel and organization area have focused on the definition of conflict construct, its cause, consequence and identified conflict resolution management. Recent studies about conflict, however, have explored new assumption of complexity, a multidimensional conflict construct, contextual conflict management strategies, positive and negative conflict/consequence, and the conflict resolution strategy. Although many literatures exists on channel conflict resolution, little research has been done about relationship learning and performance from conflict resolution perspective. This study explores how channel members can achieve a relationship learning, as a conflict resolution mechanism, which enhance co-created value in marketing channel relationship. Therefore we propose that conflict resolution strategies(collaborating behavior and avoiding behavior) influence channel performance(effectiveness and efficiency) through relationship learning processes(learning via information exchange, joint interpretation and coordination, relationship-specific knowledge memory), in view of buyer-seller relationship. The research model is shown at

    . A total of twelve hypotheses were established through prior studies dealing with conflict and relationship marketing theory. Then we drove conceptual research model. For the purpose of empirical testing, we managed to obtain the list of suppliers of 24 retailers from 5 retailer formats, such as department store, discount store, convenience store, TV home-shopping and internet shopping mall. They were asked to respond to the survey via face-to-face interview conducted by a professional research company. During the one month period of June 2009, we were able to collect data form 490 suppliers. The respondent were restricted to direct dealing authorities and manager with at least three months of dealing experience with retailers. Structural equation modeling on the basis of the results of survey were done to analyze. As a result, eight among twelve hypotheses were supported. The analysis result indicated that collaborating behavior had positive effect on three forms of relationship learning, but avoiding behavior has negative effect on only information exchange. Joint interpretation and coordination, relationship-specific knowledge memory had positive effect on relationship performances, but information exchange had no effect on performances. The results support our basic thesis that the use of conflict resolution strategies have different effect on developing relationship learning, which leads to channel performances. In particular, collaborating behavior is positively related to relationship learning, and avoidance behavior is negatively related to information exchange. Relationship learning is partially contributed to channel performance.

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A Study on the Factors Influencing a Company's Selection of Machine Learning: From the Perspective of Expanded Algorithm Selection Problem (기업의 머신러닝 선정에 영향을 미치는 요인 연구: 확장된 알고리즘 선택 문제의 관점으로)

  • Yi, Youngsoo;Kwon, Min Soo;Kwon, Ohbyung
    • The Journal of Society for e-Business Studies
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    • v.27 no.2
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    • pp.37-64
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    • 2022
  • As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.

Research Trends and Issues of Industrial Agglomeration in Korean Geography (산업집적에 대한 연구 동향과 과제: 한국지리학 연구를 중심으로)

  • Lee, Chulwoo
    • Journal of the Korean Geographical Society
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    • v.48 no.5
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    • pp.629-650
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    • 2013
  • This study reviews geographical research trends on 'New industrial agglomeration' in Korea and recommends research issues for further studies. Recent studies on industrial agglomeration region have typically concentrated on empirical case studies from new 'perspectives'. As a result, the establishment and theorizing of frameworks for analysis on industrial agglomeration have been given too little attention. To solve this problem research should be conducted to develop frameworks for analysis integrating noneconomic factors and existing economic factors, a strategy emphasized in new industrial agglomeration theory. By doing so, research investigating viability mechanism and generalization will be invigorated. Meanwhile, research focused excessively on social and cultural conditions of region-related networks between actors in economic space at specific scales should be excluded. In addition, academic research on vitalizing industrial agglomeration region, such as cluster policy, should be strengthened. In order to conduct these research objectives effectively, it is necessary to vitalize overall understanding among researchers of industrial agglomeration and provide a place for collaborative learning.

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Learning & Growth Performance, Financial Performance, and General Performance (조직의 인적자원 학습 및 성장성과, 재무적 성과와 경영성과 간의 관계에 관한 연구)

  • Jang, Chung-Seok
    • Korean Business Review
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    • v.21 no.2
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    • pp.111-136
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    • 2008
  • The central purpose of this study is to examine the relationships among learning and growth perspective, internal business process perspective, custom perspective, financial perspective, and general performance. To achieve this purpose, this study uses Kaplan and Norton's(1996) Balanced Scorecard Model theory. A field survey was undertaken through questionnaire sampling a population of construction companies. The data was collected from 185 firms in Korea for the analysis. The major findings of this study can be summarized as follows; Theoretical consideration and empirical study indicate statistically significant relationship(F=7.68, p=0.000). Especially, Financial perspective appeared to mediate the relationship between non-financial perspectives and general performance. It concludes that Non-financial perspectives significant affect the financial perspective and general performance. But, there are several limitations and directions for future research that should be noted. The potential limitation of this study concerns sampling and for selection process. Future research needs to reduce potential bias by collecting data which allows multiple industries for a subset of the sample.

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