• Journal of Technology Innovation
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• v.29 no.2
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• pp.1-30
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• 2021

Recent years have witnessed various attempts of firms to acquire new knowledge. Purchasing intellectual property or merger and acquisition (M&A) can be such attempts, but joint venture can also be an effective way internalizing new complementary assets from external partners. However, due to difficulties in the formation and implementation of learning strategies, many joint ventures have failed to acquire necessary knowledge. In this respect, based on contingency theory and dynamic capability, the current research aims to investigate the failure case of knowledge transfer in an international joint venture - KEFICO established by Hyundai motors and BOSCH. Case firm optimized for hardware technology but did not establish a differentiated learning strategy and organizational structure to acquire software skills, which are intellectuals of different natures. Due to this inconsistency, it was not able for KEFICO to absorb new type of knowledge (skills related to engine control system). This study suggests the theoretical framework illustrating the case and provides some important implications for organizational learning.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.526-537
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• 2019

This study researched the effect of application systems for media industry by using machine learning method focusing on industrial organization theory. First, for applying the system successfully, formation of sympathy about needs is required. The introduction of machine learning can bring change in each stage of value chain especially, decision making process of investment and production process. In investment side, objective performance prediction data can enhance efficiency, and content diversity can decrease with concentrated investment phenomenon to secured content by the system. In production side, if the system support to make creators decrease simple repeat works, production efficiency will increase.

• Asia Marketing Journal
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• v.1 no.4
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• pp.47-75
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• 1999

지식사회, 지식경제의 등장과 더불어 기업의 자원으로서 지식(knowledge)의 중요성이 부각됨에 따라 마케팅 전략의 한 분야로서의 신제품 전략에서도 신제품 개발과정에 있어 기업(혹은 신제품 개발 팀)의 지식과 지식의 활용 능력을 어떻게 확장할 것인가가 중요한 전략적 이슈(issue)가 된다. 신제품 개발 과정에서는 필연적으로 불확실성-시장 불확실성과 기술 불확실성-이 존재하며 불확실성을 해소하기 위하여 정보와 지식의 중요성이 부각되고 기업내의 다양한 조직-특히 R&D, 생산, 마케팅-과의 지식공유·통합과정이 중요시된다. 이에 따라 본 연구는 첫째, 기업이 가지고 있는 지식을 제품으로 구체화하는 과정이 신제품 개발(New Product Development; NPD)과정이며 구체화 과정에서 개발의 효율성과 효과성을 어떻게 달성할 것인가에 관한 문제를 다루고자 한다. 둘째, 기존의 신제품 성과 요인으로 제시되고 있는 많은 요인들을 '지식역량(knowledge competence)'의 개념으로 정리하고 이러한 지식 역량과 신제품 경쟁우위 간의 인과적 관계를 살펴봄으로써 신제품 경쟁우위에 어떠한 영향을 미치는가에 대한 분석을 하고자 한다. 셋째 신제품 개발조직의 지식역량을 향상시키기 위한 전략적 방안을 제시하고자 한다. 이론적 배경으로 기업을 지식의 결집체로 인식하고 있는 지식거점관점(knowledge based perspective)과 이러한 지식자원의 활용에 초점을 맞춘 조직학습(organizational learning) 이론 그리고 심리학에서 다루고 있는 분산된 인지이론(distributed cognition theory)을 활용한다.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.600-612
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• 2009

Special banks primarily using Internet have different properties in transactions with customers, risk management, capital strength, and branch networks with general banks. The success and failure factors of Internet banks have been explained only by the economies of scale, and learning and experience effects of Internet banks based on the perspective of organizational ecologies. In this study, the success factors of Internet banks are investigated based on strategic choice by organizations and resource-based view of the firms instead of organizational ecology perspective. To this end, 31 major Internet banks operating in overseas market have been classified by the size and profitability of banks, and three strategic groups have been derived. three representative company cases were analyzed. critical success factors of Internet banks were derived, and considerable points when operating Internet banks were discussed.

• Journal of Educational Research in Mathematics
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• v.19 no.2
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• pp.289-306
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• 2009

In this study, pre-service teachers who would be mathematics teachers of secondary school wrote the journal about learning mathematics. Journal writing helped pre-service teachers' math learning. Pre-service teachers could think mathematics reflectively, inquire it, represent their affectivity, plan the self-directed learning, and have the records of learning. They considered the educational issues as instructional methods, organization and management of instruction, assessment, and attitude of teacher. As well, they thought that journal writing was important in learning mathematics and how they would apply their students. Journal writing was meaningful to pre-service teacher education in cognitive and situative aspects.

• Knowledge Management Research
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• v.25 no.2
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• pp.95-114
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• 2024

Because it is difficult to respond to a constantly changing environment with individual ability and creativity alone, many organizations are forming teams and seeking ways to make the teams more active. Team learning behavior allows team members to and create better performance based on such accumulated knowledge and experience within a team. In particular, the process of team learning not only explicit and formalized knowledge but also implicit and informal experiences is important from the perspective of knowledge management. However, there were limitations in utilizing research results on team learning behavior because the concepts were fragmented and the measurements were different for each researcher. In this study, an integrated model was presented by examining concepts related to team learning behaviors. Moreover, the measurement model of team learning behaviors was validated for the Korean context. The measurement model consisted of five factors: sharing and elaboration, constructive conflict, team reflection, team activity, and storage and utilization. This tool was confirmed through exploratory factor analysis and confirmatory factor analysis. The results of this study are expected to have implications for team researchers and practitioners who diagnose and improve the level of team learning behavior within an organization.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.31-46
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• 2023

This study classified and confirmed the learning modes about start-ups that are based on the accelerator's program which was focusing on the Korean accelerators in the ICT field targeting global market. Eight accelerator practitioners were interviewed who were in charge of operating programs for accelerators, qualitatively analyzing method of the interview was conducted. The interview results to identify various learning modes that accelerators provide to startups through programs. In order to identify and classify learning modes, the researcher reviewed various prior documents and using categories of experience accumulation, observation, experimentation, trial and error, and improvisation as a priori code for the qualitative analysis. The interview results were analyzed through a subject analysis. As the result of the study, the learning modes offered by the accelerator's programs to startups were confirmed, with two subcategories identified for each of the five categories: experiential, learning from others, experimental, trial and error, and improvisation. Given the limited research on accelerator programs and their main function, the main function of accelerators, this study identified the types of learning modes that offered by the accelerator's programs to startups from the perspective of learning. This study provides important insights into the types of learning modes that offered by the accelerator programs, which can help to improve our understanding of how accelerators support organizational learning for startups. Additionally, this information can be useful for startups considering in participating in the accelerator programs, as it can help them making informed decisions about their involvement.

• Journal of the Korean association of regional geographers
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• v.20 no.4
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• pp.484-503
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• 2014

This study is to point out importance of narrative as a way of learning values and interests for learners. Thus, geography value instruction models with narrative was developed and applied to teaching model. The results are as follows: First, narrative is useful to value education. Because narrative includes the contextual information, leaners are able to make a moral decision in respect of socio-cultural approach and to reach more truthful and practical decision with empathic understanding. Second, comparing with an expository text, the narrative text is more interesting, understandable, and preferred. Third, Web of meaning, one of scaffolding skills, is helpful to expand the scope of learner's thinking and group activity. Fourth, learner's awareness toward the topic changes. However, it is required to develop a practical method for elaborate assessment tool and for learners' active participation.

• Journal of the Korean association of regional geographers
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• v.13 no.6
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• pp.623-638
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• 2007

This paper debates on two different theoretical positions in explaining corporate adaptation. Until the 1980s, a restructuring perspective had dominated in explaining corporate success and adaptation. However, this perspective pays little attention to how firms adapt to environmental change and why some firms adapt successfully, while some others fail to adapt. Thus a restructuring perspective does not give insights into a context-specific explanation of corporate learning and adaptation. More recently, especially since the 1990s, academic focus on corporate adaptation and evolution has shifted towards exploring the nature of learning that leads to the dynamic competitiveness. A learning perspective emphasizes the influence of knowledge, learning and competence on corporate evolution. However, it reveals that this view is also less appropriate for explaining corporate adaptation in radical shifts in environment. In this context, the evolutionary theories of the firm need to seek to maintain a balance between two theoretical positions in order to understand more effectively the dynamic evolution and adaptation of the firm. This paper shows that the dynamics of corporate adaptation and evolution are an outcome of the mixture of perpetual processes of restructuring and learning, both continuous and discontinuous.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.415-421
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• 1999

Altman의 연구(1965, 1977)나 Beaver의 연구(1986)와 같은 전통적 예측모형은 분석자의 판단에 따른 예측도가 높은 재무비율을 선정하여 다변량판별분석(MDA： multiple discriminant analysis), 로지스틱회귀분석 등과 같은 통계기법을 주로 이용해 왔으나 1980년 후반부터 인공지능 기법인 귀납적 학습방법, 인공신경망모형, 유전모형 둥이 부실기업예측에 응용되기 시작했다. 최근 연구에서는 인공신경망을 활용한 변수 및 모형개발에 관한 보고가 있다. 그러나 지금까지의 연구가 주로 기업의 재무적 비율지표를 고려한 모형에 치중되었으며 정성적 자료인 비재무지표에 대한 검증과 선정이 자의적으로 이루어져온 경향이었다. 또한 너무 많은 입력변수를 사용할 경우 다중공선성 문제를 유발시킬 위험을 내포하고 있다. 본 연구에서는 부실기업예측모형을 수립하기 위하여 정량적 요인인 재무적 지표변수와 정성적요인인 비재무적 지표변수를 모두 고려하였다. 재무적 지표변수는 상관분석 및 요인분석들을 통하여 유의한 변수들을 도출하였으며 비재무적 지표변수는 조직생태학내에서의 조직군내 조직사멸과 관련된 생태적 과정에 대한 요인들 중 조직군 내적요인으로 조직의 연령, 조직의 규모, 조직의 산업밀도를 도출하여 4개의 실험집단으로 분류하여 비재무적 지표변수를 보완하였다. 인공신경망은 다층퍼셉트론(multi-layer perceptrons)과 역방향 학습(back-propagation )알고리듬으로 입력변수와 출력변수, 그리고 하나의 은닉층을 가지는 3층 퍼셉트론(three layer perceptron)을 사용하였으며 은닉충의 노드(node)수는 3개를 사용하였다. 입력변수로 안정성, 활동성, 수익성, 성장성을 나타내는 재무적 지표변수와 조직규모, 조직연령, 그 조직이 속한 산업의 밀도를 비재무적 지표변수로 산정하여 로지스틱회귀 분석과 인공신경망 기법으로 검증하였다. 로지스틱회귀분석 결과에서는 재무적 지표변수 모형의 전체적 예측적중률이 87.50%인 반면에 재무/비재무적 지표모형은 90.18%로서 비재무적 지표변수 사용에 대한 개선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적 중률을 나타내었다.