• 제목/요약/키워드: data innovation

검색결과 2,670건 처리시간 0.041초

기술혁신과 기업생산성과의 관계 실증연구 (The relationship between innovation and performance of Korean manufacturing firms: evidence from KIS2002)

  • 한상연;오인하;이정동
    • 기술경영경제학회:학술대회논문집
    • /
    • 기술경영경제학회 2006년도 제28회 동계학술발표회 논문집
    • /
    • pp.44-77
    • /
    • 2006
  • The technological innovation has been recognized critical factors of productivity of firms and key contribution of improvement of firm performance for a long time. Many researchers have investigated the relationship between R&D investment or patents as a proxy of innovation and productivity. But there were some problem such as lacking of data and ambiguity of innovation definition. So, previous literatures have some difficulty in reliability of analysis for using only survey data. And investigating the relationship R&D and other factors is very difficult. Therefore, this paper tries to investigate and analysis the relationship between innovation and performance of Korean manufacturing firms. Using KIS2002(Korean Innovation survey 2002) which was based on Oslo manual in 2002 and financial data of firms (KISINFO), I will intend to establish the reliability of multiple analysis. In detail, I will investigate whether the innovation input have effect on the innovation output, whether the innovation output have effect on productivity for heterogeneity and what factor of innovation environment have effect on the innovation itself.

  • PDF

Influence of Big Data Analytics Capability on Innovation and Performance in the Hotel Industry in Malaysia

  • Muhamad Luqman, KHALIL;Norzalita Abd, AZIZ
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제10권2호
    • /
    • pp.109-121
    • /
    • 2023
  • This study aims to address the literature gap by examining the direct relationship between big data analytics capability, marketing innovation, and organizational innovations. Additionally, this study would examine big data analytics capability as the antecedent for both innovation types and how these relationships influence firm performance. The research model is developed based on the integration of resource-based view and knowledge-based view theories. The quantitative method is used as the research methodology for this study. Based on a purposive sampling method, a total of 115 questionnaires were obtained from managers in star-rated hotels located in Malaysia. Partial least square structural equation modeling (PLS-SEM) is utilized for the data analysis. The result shows that big data analytics capability positively affects marketing and organizational innovations. The findings show that big data analytics capability and organizational innovation positively influence firm performance. Nonetheless, the result revealed that marketing innovation is not positively related to firm performance. The findings also indicate to hotel managers the importance of big data analytic capability and the resources required to build and develop this capability. The contributions from this study enrich the literature on big data and innovation, which is particularly limited in the hospitality and tourism context.

기업의 개방형 혁신이 혁신 생산성에 미치는 영향: 외부 지식 탐색활동을 중심으로 (The Effects of Open Innovation on Innovation Productivity: Focusing on External Knowledge Search)

  • 이종선;박지훈;배종태
    • 지식경영연구
    • /
    • 제17권1호
    • /
    • pp.49-72
    • /
    • 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.

  • PDF

Exploring the Relationship between Foreign Ownership, Innovation and Firm Value: A Korean Perspective

  • Ryu, Sang-Lyul;Sawng, Yeong-wha;Park, Seunglak;Won, Jayoun
    • Journal of Korea Trade
    • /
    • 제25권7호
    • /
    • pp.19-40
    • /
    • 2021
  • Purpose - This paper's purpose is to investigate how foreign ownership and innovation affect firm value. Design/methodology - Firm innovation is defined as operational efficiency, which is calculated by adopting data envelopment analysis (DEA). Additionally, R&D intensity is included as a measure of innovation in the analysis. We used firm-level data from manufacturing companies in Korea. The sample comprised 3,753 firm-year observations for every year in the period 2003-2017. Findings - We found that foreign ownership and innovation are positively related to firm value (Tobin's Q). Foreign ownership moderates innovation's contribution to firm value, implying that foreign ownership may enhance the value relevance of firm innovation. In addition, we found that firm innovation partially mediates the relationship between foreign ownership and firm value. Originality/value - This highlights the important role of foreign investors' monitoring; wherein foreign investors enhance firm value by facilitating firm innovation. Our results suggest that foreign ownership can be crucial for innovation and may serve to address weak ownership structures.

한국 기업의 기술혁신 지속 특성에 대한 탐색적 연구 (An exploratory study on the characteristics of technology innovation persistence of Korean firms)

  • 송창현;이정우;장필성
    • 기술혁신연구
    • /
    • 제29권3호
    • /
    • pp.1-31
    • /
    • 2021
  • 기업의 경쟁우위를 결정하는 핵심 요소로서 기술혁신의 중요성이 강조되는 가운데, 혁신의 지속 여부 또한 중요한 연구 대상이 되고 있다. 혁신 지속(innovation persistence)은 기업의 혁신이 일회성으로 그치지 않고 지속적으로 이루어지고 있는지를 나타내는 개념이다. 혁신 연구에 사용되는 자료는 대부분의 국가에서 횡단면 조사로 수행됨에 따라 종단적인 지속 현상을 다룬 연구는 드문 편이며, 특히 국내의 혁신조사 자료를 이용하여 혁신 지속 현상을 살펴본 연구는 거의 없다. 본 연구는 문헌 연구를 바탕으로 기업의 혁신 지속에 대한 개념과 특징을 고찰하는 한편, 우리나라 기업의 기술혁신 지속 현황 및 특성에 대한 실증 분석을 수행하였다. 분석을 위해 2012년부터 2018년까지 격년으로 수행된 한국기업혁신조사 자료를 바탕으로, 복수관측된 3,379개 기업에 대한 불균형 패널자료를 구성하였다. 기술혁신의 지속 현상을 살펴본 결과, 지속적인 혁신이 관측되는 기업은 전체 중 일부(혁신성과에서는 10~12%, 혁신활동에서는 15~17%)에 불과하였으며, 오히려 비혁신의 지속 현상이 두드러지는 것으로 나타났다(약 52~57%). 또한 혁신성과보다는 혁신활동의 지속 현상이 강한 것으로 확인되었다. 이 외에도 제품혁신이 공정혁신보다, 내부 R&D가 공동/외부 R&D보다 지속성이 높게 나타나는 등 세부 유형에 따른 지속 현상의 특징들을 도출할 수 있었다. 그리고 혁신 지속의 영향요인 식별을 위해 추가적으로 로짓분석을 수행한 결과, 급진적 혹은 점진적 제품혁신이 다음 시기에서 혁신이 지속되게 하는 가장 영향력 높은 요인인 것으로 나타났다. 본 연구에서 구축한 패널자료는 원시자료의 한계로 인해 표본 선택 편의가 존재하기 때문에, 분석 결과의 지나친 일반화는 경계해야 한다. 그럼에도 불구하고 한국 기업을 대상으로 기술혁신 지속 현상을 종합적으로 분석한 초기연구로서 의의가 있으며, 후속 연구의 시발점이 될 것으로 기대된다. 향후 공식적인 패널자료의 구축 및 개선된 방법론 등을 통해, 혁신 지속 관련 발전된 연구 결과가 도출되기를 기대한다.

Innovation Capacity of Student: A Case Study in Vietnam

  • DO, Anh Duc;PHAM, Nguyen Nguyen Thao;NGUYEN, Thi Minh Phuong;TU, Van Son;NGUYEN, Cam Nhung;NGUYEN, Hai Duong
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제8권5호
    • /
    • pp.189-199
    • /
    • 2021
  • This study aimed to explore the factors affecting the innovation capacity of students at the National Economics University, Vietnam. Researchers used the innovation capacity model based on six factors, including personality traits, future orientation, creative skills, social interaction, content knowledge, and management skills. The empirical analysis used data from the survey of 303 students at National Economics University, Vietnam, with reliable tools (SPSS 26.0 software). The data were analyzed by testing the reliability of the scales, correlation analysis, and Pearson' Linear Correlation Coefficient, exploratory factor analysis, as well as regression model based on the survey data. The research results identified the following factors affecting innovation capacity of students: management skills, social interaction, and personality traits have the strongest impact on innovation capacity of students; content knowledge has the following strongest effects on innovation capacity of students; and finally the creative skills that affects on innovation capacity of students. There is also a positive relationship between all the factors and innovation capacity of students. The result can serve as useful reference sources for scholars who are interested in the innovation field. It also helps university's managers and policymakers build the appropriate environment to improve innovation capacity of students.

공공데이터 개방 정책이 공공 혁신에 미치는 영향에 관한 연구 (The Influence of Open Data Policies on Public Innovation)

  • 임준원;최경현
    • 대한산업공학회지
    • /
    • 제43권1호
    • /
    • pp.19-29
    • /
    • 2017
  • Nowadays, the policy of open data disclosure has become one of the globally used tools for public innovation. For this reason, this study investigates whether the policy has eventually created the achievement of public innovation in Korea. To this end, this study evaluates qualities of the fourteen thousand open data in Korea that is disclosed to the public and compares it with indexes such as the usage of data, transparency index, and Government 3.0 Excellency Index, which are regarded as the outcome of the disclosure. Based on the result, this study aims to suggest future orientation for the policy.

제조업 기업의 기술혁신 형태와 결정요인 : 기업규모와 기술혁신 (Firm Size and Innovation : A Probit Analysis)

  • 신태영
    • 기술혁신학회지
    • /
    • 제2권2호
    • /
    • pp.169-186
    • /
    • 1999
  • This study empirically investigates innovative behaviors of the firm. In so doing, a Probit was employed and estimated. We used the raw data of the "corporate innovation survey"(CIS), which, in consent with OECD efforts, is regularly undertaken by the Science and Technology Policy Institute(SIEPI). The data set includes more than 3400 firms in the manufacturing sector. Three types of innovation, i.e., new product, product improvement and process innovation, are studied, assuming that determinants of innovation are firm′s age. number of employees as the size of firm, ratio of foreign ownership and innovation costs. To investigate the relationship between firm′s innovation behavior and the size, we estimate the Probit including the quadratic term of the firm size. Empirical findings showed that the sign of the quadratic term of the firm size turned out to be negative. It means that the probability of firm's making innovation shows the inversed-U relationship with the firm size. Such an empirical result may have a significant implication for the industrial policy.

  • PDF

Visualizations of Relational Capital for Shared Vision

  • Russell, Martha G.;Still, Kaisa;Huhtamaki, Jukka;Rubens, Neil
    • World Technopolis Review
    • /
    • 제5권1호
    • /
    • pp.47-60
    • /
    • 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.

Effects of Absorptive Capacity on Innovation Performance: Evidence from Small and Medium Enterprises in Vietnam

  • NGUYEN, Dan Thi Thanh
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제9권6호
    • /
    • pp.139-149
    • /
    • 2022
  • The article investigates the impact mechanism of absorption capacity (potential absorptive capacity - PAC and realized absorptive capacity - RAC) on the innovation efficiency of enterprises through the intermediate variable of dual innovation (exploratory innovation- INOR and exploitative innovation- INOI), based on the actual situation of Vietnam's small and medium enterprises (SMEs). A survey of Vietnam's SMEs was conducted from August 2020 to April 2021. The data was collected through interviews and questionnaires, and 146 valid questionnaires were received. The following results were acquired using SPSS 20.0 software to do correlation and regression analysis of data results.: The results show that the absorptive capacity of enterprises has a positive impact on innovation performance and dual innovation acts as a mediator in how absorptive capacity affects innovation performance. This study deepens the understanding of how absorptive capacity affects innovation performance and provides important new evidence for developing absorptive capacity and dual innovation in both theories and practice in Vietnam's SMEs. The study also proposes several solutions and recommendations to help Vietnam's small and medium enterprises improve their innovation capacity, competitiveness, and performance.