중소기업 동적역량이 기업성과에 미치는 영향 연구 : 개방형혁신, 비즈니스모델혁신, 기술사업화역량, 기술혁신성과의 매개효과를 중심으로 = Studying the impact of dynamic capabilities in SMEs on firm performance : Focusing on the mediating effects of open innovation, business model innovation, technology commercialisation capability and technology innovation performance.
저자
발행사항
대전 : 대전대학교 대학원, 2024
학위논문사항
학위논문(박사)-- 대전대학교 대학원 : 융합컨설팅학과 기술경영전공 2024. 2
발행연도
2024
작성언어
한국어
주제어
발행국(도시)
대전
형태사항
267 ; 26 cm
일반주기명
지도교수: 서영욱
UCI식별코드
I804:25002-200000731604
소장기관
ABSTRACT
Studying the impact of dynamic capabilities in SMEs on firm performance:
Focusing on the mediating effects of open innovation, business model innovation,
technology commercialisation capability
and technology innovation performance.
Joung-kwan Lee
Dept. of Business Consulting
Graduate School, Daejeon University
(Supervised by Prof. Young-Wook Seo)
This study analyses the impact of dynamic capabilities on corporate performance and the indirect effects through the mediation of open innovation, business model innovation, technology commercialisation capabilities, and technology innovation performance, and draws results. To collect samples for hypothesis testing, a survey was conducted and responses were received to produce a measurement sample. The scale of the measured variables adopted the Likert 7-point scale, which is easy to measure continuous variables. The survey was conducted from 20 August 2022 to 30 August 2022 among employees of SMEs in various industries in South Korea. A total of 1,273 initial questionnaires were distributed, 313 were returned (24.6% return to distribution rate), and 267 questionnaires were analysed as the sample (85.3% return to use rate) after removing those with questionable response sincerity and reliability. The basic statistical information of the sample (respondents) was frequency analysed using SPSS 26, and path analysis was conducted for the structural model through bootstrapping in SmartPLS 4.0 to verify the research hypotheses among the latent variables of this research model.
Through the analysis, the relationship between the independent variable, dynamic capabilities, and the dependent variable, corporate performance, was determined by combining the main theories from the academic perspective and various capabilities as variables, and the correlation between the variables was determined by structural modeling. Unlike previous studies, the following are the differences of this study, which analyses the overall structure of independent and dependent variables by introducing secondary variables of each competence based on theories. First, the connection structure of the parameters was differentiated. In the case of the path with the most parameters by attempting a double serial mediation of the parameters in the research model, the serial multiple mediator model was used to enrich the correlation analysis between each variable from the independent variable, dynamic capability, to the dependent variable, corporate performance, through the mediation of (①open innovation), (②business model innovation or technology commercialisation capability), and (③technology innovation performance). Second, the correlation of variables leading to technological innovation performance through open innovation and business model, starting with dynamic capability as an independent variable, is an original combination of variables that cannot be found in existing studies. Through this, we modeled the structural cycle of ideal corporate management in which the capability to respond to environmental changes in dynamic capability is connected to technological innovation performance that improves products and processes through open innovation that promotes the expansion and efficiency of knowledge exchange and media, business model innovation that is the implementation mechanism of corporate profit model, and technological innovation performance that promotes product and process improvement. Third, three-dimensional differentiation was attempted in the correlation between variables. We analysed the three-dimensional structural models of independent-dependent direct correlation, independent-mediated1-dependent, independent-mediated1-mediated2-dependent, independent-mediated1-mediated2-
mediated3-dependent, mediated1-dependent, mediated1-mediated2-dependent,
mediated1-mediated2-mediated3-dependent, mediated2-dependent, mediated2-
mediated3-dependent, and mediated3-dependent to analyse the use of variables in each path and their correlation with corporate performance.
The results of the study are as follows. [Hypothesis 1; H1] Dynamic capabilities have a positive and significant effect on open innovation. This result proves that the ability to develop response eye to the turbulent environment, which provides the basis for detection, capture, and reorganisation, which is a representative factor of dynamic capability, positively affects the knowledge expansion of open innovation. [H2] Dynamic capability is positively significant for business model innovation. This result proves that dynamic capability's ability to quickly adapt to the dynamic environment has a positive impact on the establishment and improvement of business models to realise corporate profits in business model innovation. [H3] Dynamic capability is positively and significantly related to technology commercialisation capability. This result proves that technology commercialisation capability, which is a set of key factors in technology and market for commercialisation, is affected by dynamic capability's opportunity capture and reconfiguration of profit factors through value creation. [H4] Dynamic capability has a positive and significant effect on technology innovation performance. [H5] Dynamic capabilities have a positive and significant impact on firm performance. Regarding the results of [H4] and [H5], it is proved that dynamic capabilities can change the structure of the business environment in which the firm is operating, inducing innovation and contributing to the creation of tangible performance. [H6] Open innovation has a positive and significant effect on business model innovation. [H7] Open innovation is positively significant on technology commercialisation capability. Regarding the results of [H6] and [H7], it is demonstrated that open innovation can facilitate business model innovation mechanisms by expanding the acquisition, mediation, and exchange of knowledge that can be utilised and applied by firms to achieve commercialisation of products and services. [H8] Open innovation has a positive and significant effect on technological innovation performance. This result indicates that the utilisation of external and internal knowledge and the improvement of efficiency and effectiveness of open innovation can accelerate the technological innovation of enterprises to renew processes and improve product development performance. [H9] Open innovation has no positive significance on firm performance. The rejection of [H9] means that the factors of R&D, customer engagement, and internal collaboration, which were set as the main actors of knowledge while considering the direction of knowledge flow in open innovation in this study, do not have a direct positive and significant effect on the corporate performance of SMEs. [H10] Business model innovation is analysed with positive significance on technological innovation performance. [H11] Business model innovation has a positive and significant effect on corporate performance. The results of [H10] and [H11] demonstrate that business model innovation has a significant effect on the achievement of technological innovation performance and corporate performance by providing a substantive framework for innovation and profit creation in the overall business structure of the firm involved. [H12] Technology commercialisation capability has a positive and significant effect on technological innovation performance. [H13] Technology commercialisation capability has a positive and significant effect on corporate performance. The acceptance of [H12] and [H13] implies that technology breadth, market scope, and commercialisation speed factors for commercialisation can lead to technological innovation performance, which improves products and processes for commercialisation, and ultimately leads to firm performance. [H14] Technological innovation performance is positively and significantly related to firm performance. This result indicates that technological innovation performance of products and processes is directly and positively related to the firm's integrated performance of quantitative financial and qualitative non-financial factors. The results of the hypothesis analysis confirm the positive and significant correlation between the variables for 13 of the 14 hypotheses in the research model, with the exception of the rejection of the direct significant effect of open innovation on firm performance (Hypothesis 9). In addition, the indirect (mediating) effects of the variables along different paths between the independent variable, dynamic capabilities, and the dependent variable, firm performance, are valid. In the specific indirect effect analysis, which analyses the indirect effects of individual paths, in the total number of 11 cases between dynamic capabilities and corporate performance through the mediators, except for one path, dynamic capabilities to corporate performance through open innovation, the remaining 10 paths have significant positive indirect effects at 95% confidence level or higher.
The implications of this study are as follows. First, the enhancement of dynamic capabilities in SMEs is an essential factor for corporate growth and innovative performance. In recent studies, dynamic capabilities continue to differentiate and evolve, overcoming the challenges of the corporate environment through the subdivision of functional factors according to the changing trends of the times. In the typical factor composition of detection, capture, and reconstruction, organisation around the enterprise's knowledge open plan has been added, and in order to expand the detection function due to the deepening of environmental turbulence, it is adapting to the expansion of the two-sided detection function of corporate environment detection and opportunity selection. The development of dynamic capabilities of SMEs is conducive to corporate performance in the long run, and corporate performance should be achieved through knowledge and resource exchange and continuous evolutionary reconfiguration of integration and transformation through network activities between organisations and enterprises. Second, for SMEs, the implementation of open innovation strategies should be carefully considered. In the hypothesised relationship between open innovation and firm performance in this study, open innovation does not have a significant positive effect on firm performance. In order for SMEs to avoid openness risk, they need to build their own capabilities to absorb the shock of opening up knowledge flows and establish processes to control openness and exchanges. In-house capabilities and resources should be backed by IPRs that the organisation can rely on to deepen endogenous resource fidelity. Since knowledge exchange and openness is a transfer of intangible resources, it is important to internalise the meaningful information generated during this transfer and make it a core competency of SMEs. Third, effective technology commercialisation of SMEs should be conducted in the form of open technology commercialisation. The technology commercialisation capability used as a parameter in this study is a combination of practical action-oriented technology, market, and speed components to commercialise products and services in the backwardness according to the effectiveness strategy of deployment and combination with dynamic capabilities and intangible resources of open innovation. The analysis shows a strong indirect mediation effect, and what is particularly noteworthy is that it can sufficiently fill the gap that may be overlooked in the knowledge extension exchange of open innovation, and link it to enterprise performance (enterprise performance, technological innovation performance). Fourth, a framework for creating corporate performance through dynamic business model innovation should be created. In this study, the business model is a key mechanism in the intermediate stage of combining competence and knowledge mediation from the perspective of dynamic capabilities and open innovation and linking them to corporate performance (corporate performance, technological innovation performance). The dynamic business model innovation framework combined with dynamic capabilities can be used as a guide to improve the level of sustainability of a company. Managers should actively experiment, orient and implement business model transformation and the resulting organisational changes, analysing and modifying the transformation process that has already started and continuing to innovate. SMEs, in particular, must be prepared to innovate through forward-looking exploration and recursive evaluation in order to move away from path-dependent activities and develop new business models.
Key words: dynamic capabilities, open innovation, business model innovation, technology commercialisation capabilities, technology innovation performance, corporate performance, bootstrapping in SmartPLS 4.0, indirect effects.
분석정보
서지정보 내보내기(Export)
닫기소장기관 정보
닫기권호소장정보
닫기오류접수
닫기오류 접수 확인
닫기음성서비스 신청
닫기음성서비스 신청 확인
닫기이용약관
닫기학술연구정보서비스 이용약관 (2017년 1월 1일 ~ 현재 적용)
학술연구정보서비스(이하 RISS)는 정보주체의 자유와 권리 보호를 위해 「개인정보 보호법」 및 관계 법령이 정한 바를 준수하여, 적법하게 개인정보를 처리하고 안전하게 관리하고 있습니다. 이에 「개인정보 보호법」 제30조에 따라 정보주체에게 개인정보 처리에 관한 절차 및 기준을 안내하고, 이와 관련한 고충을 신속하고 원활하게 처리할 수 있도록 하기 위하여 다음과 같이 개인정보 처리방침을 수립·공개합니다.
주요 개인정보 처리 표시(라벨링)
목 차
3년
또는 회원탈퇴시까지5년
(「전자상거래 등에서의 소비자보호에 관한3년
(「전자상거래 등에서의 소비자보호에 관한2년
이상(개인정보보호위원회 : 개인정보의 안전성 확보조치 기준)개인정보파일의 명칭 | 운영근거 / 처리목적 | 개인정보파일에 기록되는 개인정보의 항목 | 보유기간 | |
---|---|---|---|---|
학술연구정보서비스 이용자 가입정보 파일 | 한국교육학술정보원법 | 필수 | ID, 비밀번호, 성명, 생년월일, 신분(직업구분), 이메일, 소속분야, 웹진메일 수신동의 여부 | 3년 또는 탈퇴시 |
선택 | 소속기관명, 소속도서관명, 학과/부서명, 학번/직원번호, 휴대전화, 주소 |
구분 | 담당자 | 연락처 |
---|---|---|
KERIS 개인정보 보호책임자 | 정보보호본부 김태우 | - 이메일 : lsy@keris.or.kr - 전화번호 : 053-714-0439 - 팩스번호 : 053-714-0195 |
KERIS 개인정보 보호담당자 | 개인정보보호부 이상엽 | |
RISS 개인정보 보호책임자 | 대학학술본부 장금연 | - 이메일 : giltizen@keris.or.kr - 전화번호 : 053-714-0149 - 팩스번호 : 053-714-0194 |
RISS 개인정보 보호담당자 | 학술진흥부 길원진 |
자동로그아웃 안내
닫기인증오류 안내
닫기귀하께서는 휴면계정 전환 후 1년동안 회원정보 수집 및 이용에 대한
재동의를 하지 않으신 관계로 개인정보가 삭제되었습니다.
(참조 : RISS 이용약관 및 개인정보처리방침)
신규회원으로 가입하여 이용 부탁 드리며, 추가 문의는 고객센터로 연락 바랍니다.
- 기존 아이디 재사용 불가
휴면계정 안내
RISS는 [표준개인정보 보호지침]에 따라 2년을 주기로 개인정보 수집·이용에 관하여 (재)동의를 받고 있으며, (재)동의를 하지 않을 경우, 휴면계정으로 전환됩니다.
(※ 휴면계정은 원문이용 및 복사/대출 서비스를 이용할 수 없습니다.)
휴면계정으로 전환된 후 1년간 회원정보 수집·이용에 대한 재동의를 하지 않을 경우, RISS에서 자동탈퇴 및 개인정보가 삭제처리 됩니다.
고객센터 1599-3122
ARS번호+1번(회원가입 및 정보수정)