• Industrial Engineering and Management Systems
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• 제14권3호
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• pp.236-247
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• 2015

This study aims to examine the effects of industrial clustering and manufacturing flexibility on innovation capability and operational performance. This study follow a survey method to collect data pertaining to the phenomena of industrial clustering, manufacturing flexibility, innovation capability, and operational performance by utilizing a single respondent design. A total of 124 Indonesian manufacturing SMEs are taken to test the proposed theoretical model by utilizing covariance-based structural equations modeling approach. It was found that both industrial clustering and manufacturing flexibility was positively associated with operational performance and innovation capability as well. In addition, innovation capability may account for the effects of industrial clustering and manufacturing flexibility on operational performance. This implies that manufacturing SMEs have to reorient their production and operation perspectives, including agglomerate with other similar or related SMEs to develop and utilize their own resources. The SMEs also need to possess some degree of manufacturing flexibility in respond to the uncertain environment and market changes. In addition, the SMEs should put a greater emphasize to use industrial cluster and manufacturing flexibility benefits to generate innovation capability to achieve high performance.

• 대한안전경영과학회지
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• 제22권1호
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• pp.51-59
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• 2020

The importance of innovative capability, the driving force behind innovation as a company's intangible resources, is increasing. In general, companies with high innovation capability are more likely to be successful in innovation, which can be expected to have a positive impact on corporate performance. The innovation capacity of SMEs considered in this study is R&D capability and manufacturing capability. The reason for this is that not only the continuous efforts to strengthen the competitiveness of SMEs are focused on stabilizing manufacturing capability, but also considering the situation in which governmental support for SMEs' R&D capability has been actively developed. This study examines whether R&D capability and manufacturing capability have a significant influence on corporate performance and securing competitive advantage, and analyzes whether competitive advantage acts as a mediator between innovation capability and corporate performance through regression analysis. SPSS 23.0 software was used for the empirical analysis of the data obtained through the survey. The research results are as follows. First, both R&D and manufacturing capabilities of SMEs were found to have a significant positive effect on corporate performance. Second, manufacturing capability had a significant effect on securing competitive advantage of SMEs, but R&D capability was not significant. Third, the competitive advantage of SMEs was found to play a mediating role between manufacturing capability and corporate performance.

• 한국경영공학회지
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• 제23권4호
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• pp.165-177
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• 2018

Smart technology has been utilized in various fields of all kinds of industries. Manufacturing industry has built its smart technology environment appropriate for its manufacturing fields in order to strengthen its manufacturing performance and competitiveness. The advance of smart technology for manufacturing industry needs to efficiently produce products, and response customer's demands and services in a global industrial environment. The smart technology capability of manufacturing fields is very crucial for the innovative production and efficient operation activities, and for efficient advancement of the manufacturing performance. We have necessitated a scientific and objective method that can gauge a smart technology ability in order to manage and strengthen the smart technology ability of manufacturing fields. This research provides a comprehensive framework that can rationally gauge the smart technology capability of manufacturing fields for effectively managing and advancing their smart technology capabilities. In this research, we especially develop a structural framework that can gauge the smart technology capability for a smart factory of manufacturing fields, with verifying by reliability analysis and factor analysis based on previous literature. This study presents a 13-item framework that can measure the smart technology capability for a smart factory of manufacturing fields in a smart technology perspective.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.435-444
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• 2020

This study investigates the role of logistics capability and logistics outsourcing on the performance of manufacturing companies in Pakistan. It examines how logistics capability affects firm's performance, why outsourcing is essential and how firms benefited if they outsource the service rather than establishing their own logistics capability. This research is based on a survey using structured a questionnaire to collect the primary data. The target population is logistics specialists of manufacturing companies in Pakistan with head offices based on Karachi, that have their own logistics or outsource their logistics. The questionnaire has been distributed to 500 respondents in 113 manufacturing companies in Pakistan. Confirmatory factor analysis has been used as statistical techniques to check the factor loading of the components, and SEM (Structural Equation Model) is used to check the impact of logistics capability on firm's performance as well as the role of logistics outsourcing as a mediator. The findings of the research suggest logistics capability has positive impact on the performance of the manufacturing companies in Pakistan, and logistics capability has also an impact on logistics outsourcing. On the other hand, the study found that logistics outsourcing has no significant impact on the manufacturing companies in Pakistan.

• Journal of Information Technology Applications and Management
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• 제17권2호
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• pp.91-109
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• 2010

The success of new product is a key factor for getting competitive advantages. Marketing research has been investigating marketing capability, manufacturing technical capability, cross-functional integration, market knowledge competence, and competitive environment as the key success factors of new product advantage. Recently, the role of IT capability in enhancing new product advantage is assumed in the literature. However, the empirical studies on the role of IT capability are lacking. The purpose of this study is to identify the effects of IT capability on new product competitive advantages and the relationship between IT capability and the key success factors for new product advantage. Conducting an empirical field study, the IT capability is shown to have a direct effect on new product competitive advantages, and to be also the key success factor to make up for marketing capability and manufacturing technical capability. This study develops a conceptual model on the role of IT capability in enhancing new product competitive advantages by integrating marketing research and IS research.

• International Journal of Human Ecology
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• 제10권1호
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• pp.1-11
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• 2009

The effect of learning orientation on company innovation and innovation capability are explored based on survey data collected from 154 small and medium-sized manufacturing firms. The theoretical links between learning orientation and company innovation as well as innovation capability are investigated in four research models that compare textile and non-textile manufacturing firms. Learning orientation has a significant effect on company innovation and innovation capability in the model test. However, some of the three segmented factors (commitment to learning, shared vision, and open-mindedness) of learning orientation had no significant effect on company innovation and innovation capability. Company innovation and innovation capability of textile manufacturing firms are predicted by the commitment to learning and shared vision, whereas those of non-textile firms were determined by shared vision and open-mindedness. Differences show that firms may need to put weight on some distinctive aspects of learning orientation according to the business categories in order to enhance company innovation.

• 디지털융복합연구
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• 제15권10호
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• pp.233-241
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• 2017

본 연구는 중소기업의 기술 사업화 역량에 영향을 미치는 요인들에 대한 연구의 흐름을 다양화하기 위해 중소벤처 기업의 제조 역량과 시험 및 검사 역량이 외부 정보 네트워크의 다양성과 기술 사업화 역량 사이의 관계에 미치는 매개 효과를 실증 분석하였다. IBM SPSS 23을 사용하여 한국의 683개 중소벤처기업에 대해 실시한 최소자승 회귀분석, Sobel 검정과 Baron 및 Kenny 검정 결과를 통해 본 연구는 중소기업의 제조 역량과 시험 및 검사 역량의 역할에 대한 후속 연구에 유용한 세 가지 실증 분석 결과를 제공한다. 첫째, 중소벤처기업의 제조 역량은 중소벤처기업의 외부 정보 네트워크의 다양성이 기술 사업화 역량에 미치는 양(+)의 효과를 부분 매개하는 것으로 분석되었다. 둘째, 중소벤처기업의 시험 및 검사 역량은 이러한 양(+)의 효과를 부분 매개하는 것으로 밝혀졌다. 셋째, 중소기업의 제조 역량과 시험 및 검사 역량은 이러한 양(+)의 효과를 공동으로 부분 매개하는 것으로 분석되었다.

• 디지털융복합연구
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• 제13권9호
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• pp.99-104
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• 2015

생산관리능력은 IT 중소기업의 가장 필수적인 역량 중 하나이다. 따라서, 본 연구는 외부정보네트워크의 다양성 및 제조능력과 같은 주요 요인들이 IT 중소기업의 생산관리능력에 미치는 영향을 실증 분석하였다. 한국의 310개 IT 중소기업으로부터 수집된 데이터를 바탕으로 SPSS 버전 22를 사용한 최소자승 회귀분석 결과, 외부정보네트워크의 다양성은 IT 중소기업의 생산관리능력에 유의한 정(+)의 영향을 주며, 이러한 정(+)의 영향은 IT 중소기업의 제조능력에 의해서 완전 매개 되는 것으로 나타났다. 이러한 실증 분석 결과는 IT 중소기업의 외부정보네트워크의 다양성이 제조능력을 통해 생산관리능력에 정(+)의 영향을 미친다는 의미 있는 시사점을 제공한다.

• 한국산업정보학회논문지
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• 제27권1호
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• pp.79-92
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• 2022

본 연구는 자원기반론 관점에서 중소벤처기업의 R&D 역량, 제조역량, 비즈니스모델 이해도가 기업 성과에 미치는 영향을 검증하였다. 특히, 제조역량과 비즈니스모델 이해도가 R&D 역량과 기업성과의 관계를 조절한다는 연구모형을 제시하고 이를 실증분석하였다. 2019년 벤처기업 정밀실태조사 데이테를 활용하여 1103개의 중소벤처기업을 분석대상으로 하였으며, 횡단분석을 통해 연구모형을 검증하였다. 연구결과 벤처기업의 R&D 역량이 성과에 긍정적인 영향을 줄 것이라는 가설은 지지되지 못했고, 제조역량과, 비즈니스 모델에 대한 이해도는 성과에 긍정적인 영향을 주는 것으로 나타났다. R&D 역량과 제조역량의 상호작용은 성과에 영향을 주지 못하는 것으로 나타난 반면, 비즈니스모델 이해도는 R&D 역량이 성과에 미치는 영향을 양의 방향으로 조절하는 것으로 분석되었다. 이를 통해, 한국 벤처기업의 R&D 역량은 조직원들의 비즈니스 모델에 대한 이해를 기반으로 성과에 긍정적인 영향을 미침을 확인하였다.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2008년도 춘계학술대회
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• pp.417-428
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• 2008

Designers have to consider voice of customer, process capability, manufacturing standards & condition, manufacturing method, characteristics of products to decide tolerances. Especially, in case of position of hole and pin, designers have to consider process capability to decide tolerances. The traditional position tolerances used in a drawing are theoretical values which are allocated to position under the worst case assembling condition that both hole and pin are the maximum material condition(MMC). However, When the process capability is high, more exact product size can be produced under stable manufacturing condition. larger clearance of hole and pin can be allocated. In this point of view, manufacturer could increase the yield by allocating larger position tolerance than theoretical position tolerance of hole and pin considering process capability.