• Journal of Digital Convergence
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• v.13 no.8
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• pp.301-313
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• 2015

Robot technology has become a crucial part of today's business operation. In fact, more manufacturing firms have been utilizing robot technology in order to increase operational efficiency and productivity. Thus, this study develops the research model investigating firms; behavior for process innovation with intelligent robot. Three categories - Technical, Entrepreneur, and Environmental characteristic - are proposed in the research model as determinants of process innovation. These three characteristics include six variables(Perceived Direct Usefulness, Perceived Indirect Usefulness, Innovation, Risk Senstivity, Perceived Industry Pressure, and Perceived Government Pressure) as influencing factors on process innovation. The data from 77 employee at manufacturing firms were analyzed to test proposed hypotheses. The results reveal that all variables with exception of Perceived Government Pressure have a significant influence on process innovation. Based on the study results, theoretical and practical implications for process innovation with intelligent robot technology are discussed.

• Journal of the Korea Society of Computer and Information
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• v.17 no.4
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• pp.155-161
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• 2012

The purpose of this paper is to analyze the structural relationship of the impact on the business performance when it pursues resource based production strategies, nurtures core competency, develops core product lines and innovate its business models as part of a strategy of value innovation and to validate how the nurturing core competency can have an impact on the execution of the value innovation strategies. This paper confirms that there is a structural relationship, which is logically and conceptually valid, among the core competence, value innovation strategies and business performance of manufacturing companies. In order to maximize the business performance which is the eventual objective of a company, it must strategically nurture its core competence, which will be a main driver of the future competitiveness and diversify its management based on the value innovation strategies.

• Journal of Service Research and Studies
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• v.8 no.1
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• pp.27-39
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• 2018

This study is an empirical study to examine the effect of the characteristics of service nature of Korean small and medium manufacturing firms on organizational innovation. It is essential to know service in order for Korea, which has a strong image as a fast follower, to enhance the competitiveness of Small and Medium size Manufacturing firms. By analyzing the service characteristics phenomenon, it is possible to understand the service nature characteristics and to strengthen the capacity to meet them. In order to gain a new resource while achieving organizational innovation, the manufacturing industry can produce new demand for the main products with competitive advantage. The characteristics of service nature are derived from relationship, equality, interactivity, and experiential value. In order to enhance the competitiveness of small and medium size manufacturing firms, core competencies required for organizational innovation are set as dynamic competencies, and to prove it. The dynamic capacity was found to affect the relationship, interactivity, and experience value. It is proved that it is an important factor to promote organizational innovation as a capability to identify and actively utilize organizational innovation opportunities ahead of competitors in a rapidly changing environment. It is needed to confirm that large corporations, midsize companies, and overseas companies can achieve the same results.

• Industry Promotion Research
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• v.9 no.1
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• pp.81-87
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• 2024

This research aims to empirically investigate the innovative effects of 2012 Cosmetics Act amendment on the cosmetics industry. By utilizing production data from the Korea Food and Drug Administration for the period 2008-2014 and estimating a panel fixed-effects model, the study demonstrates a significant positive correlation between the legislative revision and firm production. Additionally, it is observed that both the number of brands and new products per manufacturer significantly increased following the amendment. Further, this study shows a significant positive correlation between the amendment and the potential market size, with the potential market size positively correlated with innovation. The findings of this study highlight that government regulatory improvements can positively impact industrial innovation and promotion.

• Smart Media Journal
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• v.8 no.3
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• pp.95-103
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• 2019

The global manufacturing industry has reached the limit to growth due to a long-term recession, the rise of labor cost and raw material. As a solution to these difficulties, we promote the 4th Industry Revolution based on ICT and sensor technology. Following this trend, this paper proposes the design of a model using manufacturing data in the protection film process for smart manufacturing innovation. In the protective film process, the manufacturing data of temperature, pressure, humidity, and motion and thermal image are acquired by various sensors for the raw material blending, stirring, extrusion, and inspection processes. While the acquired manufacturing data is stored in mass storage, A.I. platform provides time-series image analysis and its visualization.

• Proceedings of the Korean Society for Quality Management Conference
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• 2007.04a
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• pp.18-32
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• 2007

최적의 혁신기법이란 각사의 핵심역량을 명확히 한 후 꾸준히 그리고 지속적으로 자사에 맞게 시스템(SYSTEM)을 변형해 나가는 과정에서 완성된다고 볼 수 있다. 반도체 제조사인 H사는 지난 IMF 때 경영적인 어려움을 극복하고 최근 각 부문(제조, 연구개발, 영업 등)의 탁월한 경영성과를 올리고 있다. 이러한 성과를 뒷받침하는 것은 경영혁신 활동이 일환으로 TPM을 2001년부터 꾸준하게 적용을 해 오고 있다는 것이다. 일반적으로 TPM은 제조중심의 활동이 대부분이나, H사는 R&D부문 경영혁신 활동에 TPM활동을 접목해 활동을 하고 있다. 본 연구는 H사의 R&D부문 TPM R&D보전의 10대 지주 활동과 연구개발 부문에서 활발하게 연구되고 있는 Lean DFSS의 두 방법론에의 장 ${\cdot}$ 단점을 분석하여 좀 더 바람직한 방법론을 연구해 볼 필요가 있다.

• Korean small business review
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• v.42 no.2
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• pp.117-137
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• 2020

We examine the current status of smart factory deployment and diffusion programs in Korea, and seek to promote manufacturing innovation from the perspective of SMEs. The main conclusions of this paper are as follows. First, without additional market creation and supply chain improvement, smart factories are unlikely to raise profitability leading to overinvestment. Second, new business models need to connect "manufacturing process efficiency" with "R&D" and "marketing" in value chain in smart factories. Third, when introducing smart factories, we need to focus on the areas where process-embedded technology is directly linked to corporate competitiveness. Based on the modularity-maturity matrix (Pisano and Shih, 2012) and the examples of U.S. Manufacturing Innovation Institute (MII), we establish the new smart factory deployment policy measures as follows. First, we shift our smart factory strategy from quantitative expansion to qualitative upgrading. Second, we promote by each sector the formation of industrial commons that help SMEs to jointly develop R&D, exchange standardized data and practices, and facilitate supplier-led procurement system. Third, to implement new technology and business models, we encourage partnerships, collaborations, and M&As between conventional SMEs and start-ups and business ventures. Fourth, the whole deployment process of smart factories is indexed in detail to identify the problems and provide appropriate solutions.

• Information and Communications Magazine
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• v.33 no.8
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• pp.3-9
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• 2016

국가경제 전반의 생산성, 기술혁신, 수출, 고용을 유지함에 있어 제조업의 역할 및 경쟁력 확보는 매우 중요하다. 제조업은 ICT 기기, 자동화기계 등을 공급함으로써 경제 전분야에 걸쳐 생산성 향상과 기술혁신을 견인하고 있다. 무역에서 가장 큰 비중을 차지하고 있는 제조업 분야는 전체 무역의 약 70%를 차지하고 있으며 제조업 경쟁력이 무역수지 흑자에 필수적이며 이를 위해서 로봇기술을 바탕으로 융합 신(新)산업을 창출하여 우리 제조업만의 경쟁우위를 확보해야 한다. 인건비 상승, 고령화 사회 진입, 중국이나 일본 등 경쟁국가 기업들의 위협으로 위기를 맞고 있는 중소제조기업들이 생산공정에 로봇도입을 통해 기업 경쟁력을 회복하는 것이 필요하다. 정부에서는 제조업의 위기 타개책으로 '스마트팩토리'를 제시하고 있다. 그러나 대부분의 중소제조기업이 아직 전산화 단계도 벗어나지 못하고 있는 현시점에서 기존 수공정에 로봇도입을 통한 제조공정의 스마트화가 우선적으로 필요하다. 본 고에서는 국내 중소제조업 현황을 알아보고 중소제조기업의 로봇도입을 통한 제조공정 스마트화에 대해 적용 사례를 중심으로 살펴보도록 한다.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.107-120
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• 2024

To study the relationship between various information sources and first-to-market product innovation, this research examined how the internal and external information sources relate to first-to-market product innovation and how government regulations (economic, social and administrative) affect first-to-market product innovations, applying the perspective of Institutional Theory. For the analysis, variables used were first-to-market product innovation, internal and external information sources, and economic, social, and administrative regulations. This study was conducted based on survey data from the Korean Innovation Survey 2020 by the Science and Technology Policy Institute of Korea (STEPI). The data analyzed included small and medium-sized enterprises (SMEs) in the manufacturing industry, and a total of 586 firms were used from 2017 to 2019. By analyzing the internal and external information source and government regulations that have been relatively underexplored in previous research, this study suggests new directions and provides practical and managerial implications based on the results.

• Journal of Technology Innovation
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• v.18 no.1
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• pp.153-175
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• 2010

Firms must focus on innovative activities via R&D investment in order to secure competitive advantage and sustainable growth. However, their innovative activities do not always result in successful outcomes and are often obstructed by uncertainty and non-appropriability of technology being developed and by insufficient internal resources and capabilities to tap into it. In this situation, collaboration with external partners can be a part of good alternative strategy to solve those problems. This paper aims to analyze what factors lead to Korean manufacturing companies’ decision to collaborate with external partners for technology innovation. For empirical analysis, we used the Korean Innovation Data compiled by STEPI, government-funded research institute in Korea. The research findings are: 1) firms tend to participate in external collaboration for product innovation with greater firm size, more past collaboration experiences and when they belong to high-tech industries 2) unlike our expectation, our chosen ‘innovation-impeding’ factors are found not to contribute to the enhancement of collaboration for product innovation.