• 지식경영연구
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• 제17권1호
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• pp.49-72
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• 2016

Extant research on firm innovation productivity is limited in measuring the innovation productivity, in which they measured firm innovation productivity by using either inputs or outputs of innovation. The present study complemented the extant research by employing Data Envelopment Analysis (DEA) approach to measure firm innovation productivity. Furthermore, this paper examined the effects of firms' external knowledge search, as one of open innovation practices, on firm innovation productivity, for open innovation activities are regarded as an influencing factor on firm innovation productivity in the previous literatures. Using the data of the Korean Innovation Survey (KIS) of manufacturing industries conducted in 2008, this study developed hypotheses in which we considered not only two dimensions of external knowledge search (breadth and depth) but also two subtypes of external knowledge search (market-driven and science-driven). The results found that searching deeply and market-driven search are positively related to firm innovation productivity, but science-driven search is somewhat negatively related to firm innovation productivity. Furthermore, market-driven search can mitigate the negative effect of science-driven search on innovation productivity.

• Asian Journal of Innovation and Policy
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• 제2권2호
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• pp.240-264
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• 2013

The study compares network structures that emerged in three inter-organisational projects set up under the MSC Malaysia initiative by the Government of Malaysia. These consortia are seen as policy-driven inter-organisational networks and, with data collected through interviews; the links among the organisations are mapped to gain an understanding of the structures that emerged in these networks. The findings provide lessons for other emerging countries that are embarking on similar projects i.e. cluster-oriented developments with policy-driven inter-organisational networks. These findings are seen as particularly useful when emerging countries invest in technology-related projects and invite multinational companies to work together with local firms.

• World Technopolis Review
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• 제5권1호
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• pp.47-60
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• 2016

In today's digital non-linear global business environment, innovation initiatives are influenced by inter-organizational, political, economic, environmental, technological systems, as well as by decisions made individually by key actors in these systems. Network-based structures emerge from social linkages and collaborations among various actors, creating innovation ecosystems, complex adaptive systems in which entities co-create value. A shared vision of value co-creation allows people operating individually to arrive together at the same future. Yet, relationships are difficult to see, continually changing and challenging to manage. The Innovation Ecosystem Transformation Framework construct includes three core components to make innovation relationships visible and articulate networks of relational capital for the wellbeing, sustainability and business success of innovation ecosystems: data-driven visualizations, storytelling and shared vision. Access to data facilitates building evidence-based visualizations using relational data. This has dramatically altered the way leaders can use data-driven analysis to develop insights and provide ongoing feedback needed to orchestrate relational capital and build shared vision for high quality decisions about innovation. Enabled by a shared vision, relational capital can guide decisions that catalyze, support and sustain an ecosystemic milieu conducive to innovation for business growth.

• Asia pacific journal of information systems
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• 제32권3호
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• pp.477-495
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• 2022

This paper proposes how to design and implement data-driven strategies by investigating how a firm can increase its value using data science. Drawing on prior studies on architectural innovation, a behavioral theory of the firm, and the knowledge-based view of the firm as well as the analysis of field observations, the paper shows how data science is abused in dealing with meso-level data while it is underused in using macro-level and alternative data to accomplish machine-human teaming and risk management. The implications help us understand why some firms are better at drawing value from intangibles such as data, data-science capabilities, and routines and how to evaluate such capabilities.

• 기술혁신연구
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• 제27권3호
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• pp.113-142
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• 2019

이 연구는 국가경쟁력을 향상시키는 조건으로서 기술창업의 역할에 대해 분석한다. 기업가의 지식확산이론(Knowledge Spillover Theory of Entrepreneurship)을 기반으로, 국가 내 기술기반 창업의 비중이 국가경쟁력을 높이는 데 어떠한 영향을 주는지 분석한다. 또한 국가경제개발 단계 측면에서 혁신주도형경제(Innovation-driven economy)에 해당되는 경우 국가경쟁력에 미치는 기술창업의 영향력이 어떻게 조절되는지 살펴본다. 2011년부터 2014년까지 83개 국가의 기술창업, 국가경쟁력지수, 경제개발단계 등의 데이터를 기반으로 분석한 결과, 국가 내 기술창업비율은 국가경쟁력과 U자형 관계를 가진다는 점을 확인했다. 또한 국가 발전단계 상 혁신주도형경제에 해당되는 국가의 경우 이 관계는 강화되는 방향으로 조절되는 점을 확인했다. 이 연구는 기술 기반의 창업 비율이 증가할수록 국가경쟁력에 무조건 긍정적 영향을 미치지 않으며 상황과 조건이 잘 맞아야 함을 강조한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2006년도 추계학술대회
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• pp.21-35
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• 2006

This paper examines critical successful elements related to the management of new product development process. For this, we have selected a VK-X100, slim bar type cellular phone, produced by VK mobile co., which was thought as a successful product development case and then analysed the case from a concept driven strategic product development's point of view. We have performed in-depth interviews with project managers, engineers and designers to get information on the product development process and analysed huge amount of data obtained from web-sites, global market indicators, and related firms' materials to find a changing trend of market conditions. The findings suggest that the successful new Product development and management is shaped by a number of different factors, such as the business environments, firm's technological level, firm's deep market insight capabilities, nature of the product development activities, and so on. Finally, we suggested the limitation of our research and further research subjects that would be required to support our findings.

• World Technopolis Review
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• 제4권1호
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• pp.11-22
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• 2015

Globalization, increasing technological advancements and dynamic knowledge diffusion are moving our world closer together at a unique scale and pace. At the same time, our rapidly changing society is confronted with major challenges ranging from demographic to economic ones; challenges that necessitate highly innovative solutions, forcing us to reconsider the way that we actually innovate and create shared value. As such the linear, centralized innovation models of the past need to be replaced with new approaches; approaches that are based upon an open and collaborative, global network perspective where all innovation actors strategically network and collaborate, openly distribute their ideas and co-innovate/co-create in a global context utilizing our society's full innovation potential (Innovation 4.0 - Open Innovation 2.0). These emerging innovation paradigms create "an opportunity for a new entrepreneurial renaissance which can drive a Cambrian like explosion of sustainable wealth creation" (Curley 2013). Thus, in order to materialize this entrepreneurial renaissance, it is critical not only to value but also to actively employ this new innovation paradigms so as to derive community-driven shared value that stems from global innovation networks. This paper argues that there is a gap in existing business incubation model that needs to be filled, in that the innovation and entrepreneurship community cannot afford to ignore the emerging innovation paradigms and rely upon closed incubation models but has to adopt an "open incubation" (Ziouvelou 2013). The open incubation model is based on the principles of open innovation, crowdsourcing and co-creation of shared value and enables individual users and innovation stakeholders to strategically network, find collaborators and partners, co-create ideas and prototypes, share their ideas/prototypes and utilize the wisdom of the crowd to assess the value of these project ideas/prototypes, while at the same time find connections/partners, business and technical information, knowledge on start-up related topics, online tools, online content, open data and open educational material and most importantly access to capital and crowd-funding. By introducing a new incubation phase, namely the "interest phase", open incubation bridges the gap between entrepreneurial need and action and addresses the wantpreneurial needs during the innovation conception phase. In this context one such ecosystem that aligns fully with the open incubation model and theoretical approach, is the VOICE ecosystem. VOICE is an international, community-driven innovation and entrepreneurship ecosystem based on open innovation, crowdsourcing and co-creation principles that has no physical location as opposed to traditional business incubators. VOICE aims to tap into the collective intelligence of the crowd and turn their entrepreneurial interest or need into a collaborative project that will result into a prototype and to a successful "crowd-venture".

• 경영과학
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• 제32권4호
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• pp.175-192
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• 2015

Due to the emergence of open innovation driven by development of network service technologies and convergence in ICT service industry, It is necessary for ICT service firms to examine their capabilities for open innovation. The purpose of this paper is to empirically examine determinants affecting open innovation in Korean ICT service industry. In order to analyze, this paper uses logistic and multiple regression models based on survey data of Korean ICT service firms. Estimation results show that external network for collaboration is positive on the technological innovation activity regardless of the innovation type. Specifically, user networks are significant in all types of technology innovation, revealing that it is important to innovation activities of the ICT service firms.

• 디지털융복합연구
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• 제20권3호
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• pp.181-189
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• 2022

모바일 기기의 확산과 ICT 기술로 핀테크 혁신이 더욱 가속화 될 것으로 전망되는 가운데, 최근 금융의 화두는 '디지털 전환'이며, 여기에는 빅데이터의 활용이 주요 요소라 할 수 있다. 특히 오픈 뱅킹이라는 인프라가 마이데이터와 마이페이먼트 산업과 연계되어 금융정보의 이종결합, 자산 조회 및 이체 기능이 결합되는 오픈 파이낸스 시대가 도래고 있다. 마이데이터는 데이터 활용을 통한 가치 창출에 주목하여 나타난 개념으로, 데이터의 주체가 능동적인 자기결정권을 갖는데 의의가 있는데 현재 국내에서도 마이데이터가 시행 되며 전략적 활용방안을 모색되고 있다. 이에 본 연구는 마이데이터 관련 비즈니스 사례를 분석하여 향후 금융의 디지털 전환을 위한 전략적 활용방안을 제시하는 것을 목적으로 하였다. 해외 주요국가에서 마이데이터 개념을 적용한 PSD2 및 오픈뱅킹 정책을 적극 추진하고 있는 가운데 성공적인 비즈니스 모델(Mint, Information Bank, Strands)의 분석을 통해 데이터 기반 비즈니스의 타당성을 확인하고 공통점을 모색하기 위한 사례 연구를 수행하였다. 거래의 효율성과 다양성을 향상시키는 사업 모델을 제공한다는 관점에서 마이데이터는 기존의 사업 모델을 개선할 수 있는 잠재력이 있음을 확인할 수 있었다. 마이데이터는 본인 중심의 모든 데이터로부터 개별적인 데이터 생태계를 쉽게 구현하고 관리할 수 있어야 하는데 개인이 스스로 이를 관리, 통제, 활용하는 것은 현실적으로 어렵다. 따라서 마이데이터 오퍼레이터 또는 마이데이터 서비스 제공자 역할을 할 수 있는 비즈니스 모델이 적극적으로 모색될 필요가 있겠다.

• 경영정보학연구
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• 제21권4호
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• pp.197-220
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• 2019

본 연구는 기업이 생존에 필요한 지식을 외부에서 조달하는 방법 중 하나로서 활용하고 있는 개방형 혁신 프로젝트를 디지털 트랜스포메이션 관점에서 분석하고 있다. 우선, 일반 소비자들이 자신들의 지식을 공유하기 위해 개방형 혁신 프로젝트에 참여할 때, 그들이 갖고 있는 동기를 분류함에 있어 기존의 내재적/외재적 이분법적 분류를 확장하여 동기 형성에 영향을 미치는 '영향자'를 중심으로 자발적 동기, 기업유발 동기, 사회유발 동기 세 가지로 분류하였다. 이러한 새로운 분류는 연결성을 중시하는 현대사회에서 '사회적 동기'가 중요한 의미를 가질 수 있다는 것을 보여준다. 그 결과 경쟁심리, 사회적 기여도 등이 새롭게 사회적 동기로 도출되었으며 그 과정에서, 기업이 프로젝트를 통해 조달하고자 하는 지식의 깊이에 따라 그 동기의 영향력이 달라진다는 가설도 도출되었다. 가설은 두 가지 방식으로 검증되었다. 첫째, 네 가지 개방형 혁신 프로젝트 사례를 조사하여 각 사례에서 강조된 동기들이 무엇이며 어떻게 디지털 트랜스포메이션 현상이 일어났는지 확인하였다. 둘째, 203명의 온라인 게임 사용자를 대상으로 설문을 실시하여 그들이 개방형 혁신 프로젝트에 참여할 경우 갖게 되는 동기에 대해 조사하였다. 그 결과, 동기에 대한 대부분의 가설들이 채택되었으며 필요 지식의 깊이에 따른 조절 효과 역시 있는 것으로 나타났다. 본 연구는 기존의 동기형성 연구가 주로 사용하던 내부, 외부 동기의 이분법을 확장하여 개방형 혁신 프로젝트가 갖는 사회적 영향력 측면을 강조함과 동시에 그 과정을 디지털 트랜스포메이션 관점에서 이해하였다는 점에서 그 의의가 있다.