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    Does Information from the Higher Education and R&D Institutes Improve the Innovation Efficiency of Logistic Firms?

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    https://www.riss.kr/link?id=A106416512

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The efficiency of logistics innovation is a challenging task for logistics companies competing in rapid environmental changes. It is also essentially crucial for logistics companies to understand the importance of various sources of information to achieve innovation efficiently. Thus, this study measured the innovation efficiency of 72 logistics firms in South Korea by using ‘the sales’ as an output factor, and ‘the number of employees’ and ‘the innovative activity cost’ as an input factor.
    In particular, this study tested whether the distribution of measured innovation efficiency value differs in terms of the degree of consideration of higher education institutes and research and development (R & D) institutes as sources of information. To investigate the innovation efficiency of Korean logistics firms, we used a combined method of the input-oriented data envelopment analysis (DEA) with constant return to scale and Kruskal Wallis one-way ANOVA (analysis of variance) techniques. The findings in the study suggest that the logistics firms in Korea tend not to seriously consider higher education institutes and R & D institutes as crucial sources of information for achieving their logistics innovation. However, the results show that the innovation efficiency of logistics firms may be low if they completely exclude or do not consider the information sources for their innovation activities.
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    The efficiency of logistics innovation is a challenging task for logistics companies competing in rapid environmental changes. It is also essentially crucial for logistics companies to understand the importance of various sources of information to ach...

    The efficiency of logistics innovation is a challenging task for logistics companies competing in rapid environmental changes. It is also essentially crucial for logistics companies to understand the importance of various sources of information to achieve innovation efficiently. Thus, this study measured the innovation efficiency of 72 logistics firms in South Korea by using ‘the sales’ as an output factor, and ‘the number of employees’ and ‘the innovative activity cost’ as an input factor.
    In particular, this study tested whether the distribution of measured innovation efficiency value differs in terms of the degree of consideration of higher education institutes and research and development (R & D) institutes as sources of information. To investigate the innovation efficiency of Korean logistics firms, we used a combined method of the input-oriented data envelopment analysis (DEA) with constant return to scale and Kruskal Wallis one-way ANOVA (analysis of variance) techniques. The findings in the study suggest that the logistics firms in Korea tend not to seriously consider higher education institutes and R & D institutes as crucial sources of information for achieving their logistics innovation. However, the results show that the innovation efficiency of logistics firms may be low if they completely exclude or do not consider the information sources for their innovation activities.

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    참고문헌 (Reference)

    1 Barton, L. D., "Wellsprings of Knowledge: Building and Sustaining The Sources of Innovation" Harvard Business School Press 150-154, 1995

    2 Cullinane, K., "The application of mathematical programming approaches to estimating container port production efficiency" 24 (24): 73-92, 2005

    3 Shin, J., "The Effect of Sustainability as Innovation Objectives on Innovation Efficiency" 10 (10): 1966-, 2018

    4 Bala-Subrahmanya, M. H., "Technological innovation in Indian SMEs : need, status and policy imperatives. Current opinion in creativity" 1 (1): 7-12, 2012

    5 Dosi, G., "Source, Procedure, and Microeconomic Effects of Innovation" 26 : 1120-1171, 1988

    6 Banker, R. D., "Some models for estimating technical and scale inefficiencies in data envelopment analysis" 30 (30): 1078-1092, 1984

    7 Laursen, K., "Searching high and low : what types of firms use universities as a source of innovation?" 33 (33): 1201-1215, 2004

    8 Arnold, V., "Primal and dual optimality in computer codes using two-stage solution procedures in DEA"

    9 Barros, C. P., "Port Management" Palgrave Macmillan 293-313, 2015

    10 OECD, "Oslo Manual. The Measurement of Scientific and Technological Activities" OECD 2005

    1 Barton, L. D., "Wellsprings of Knowledge: Building and Sustaining The Sources of Innovation" Harvard Business School Press 150-154, 1995

    2 Cullinane, K., "The application of mathematical programming approaches to estimating container port production efficiency" 24 (24): 73-92, 2005

    3 Shin, J., "The Effect of Sustainability as Innovation Objectives on Innovation Efficiency" 10 (10): 1966-, 2018

    4 Bala-Subrahmanya, M. H., "Technological innovation in Indian SMEs : need, status and policy imperatives. Current opinion in creativity" 1 (1): 7-12, 2012

    5 Dosi, G., "Source, Procedure, and Microeconomic Effects of Innovation" 26 : 1120-1171, 1988

    6 Banker, R. D., "Some models for estimating technical and scale inefficiencies in data envelopment analysis" 30 (30): 1078-1092, 1984

    7 Laursen, K., "Searching high and low : what types of firms use universities as a source of innovation?" 33 (33): 1201-1215, 2004

    8 Arnold, V., "Primal and dual optimality in computer codes using two-stage solution procedures in DEA"

    9 Barros, C. P., "Port Management" Palgrave Macmillan 293-313, 2015

    10 OECD, "Oslo Manual. The Measurement of Scientific and Technological Activities" OECD 2005

    11 Klevorick, A. K., "On the sources and significance of interindustry differences in technological opportunities" 24 (24): 185-205, 1995

    12 Charnes, A., "Measuring the efficiency of decision making units" 2 (2): 429-444, 1978

    13 Tongzon, J., "Key success factors for transshipment hubs: the case of the port of Singapore" 162-180, 2005

    14 Caloghirou, Y., "Internal Capabilities and External Knowledge Sources: Complements or Substitutes for Innovative Performance?" 24 : 29-39, 2004

    15 Chapman, R. L., "Innovation in logistic services and the new business model : a conceptual framework" 33 (33): 630-650, 2003

    16 Olomu, M., "Harnessing technological and nontechnological innovations for SMEs profitability in the Nigerian Manufacturing Sector" 4 (4): 75-88, 2016

    17 Zhou, G., "Evaluating the comparative efficiency of Chinese third-party logistic providers using data envelopment analysis" 38 (38): 262-279, 2008

    18 The Korea Transport Institute, "Establishment of National Logistic Master Plan (2016 ~ 2025)" 2015

    19 Soosay, C. A., "Driving innovation in logistic : case studies in distribution centres" 13 (13): 41-51, 2004

    20 Papadimitriou, C. H., "Combinatorial optimization:algorithms and complexity" Courier Corporation 1998

    21 Min, H., "Benchmarking the operational efficiency of third party logistic providers using data envelopment analysis" 11 (11): 259-265, 2006

    22 Yang, C. C., "Assessing the moderating effect of innovation capability on the relationship between logistic service capability and firm performance for ocean freight forwarders" 15 (15): 53-69, 2012

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2024 평가 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
    2021-01-01 등재 등재학술지 선정 (해외등재 학술지 평가) KCI등재
    2020-12-01 등재 등재후보로 하락 (해외등재 학술지 평가) KCI등재후보
    2010-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2009-06-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2009-06-01 등재 학술지 분리 (기타)
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.21 0.21 0.25
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.24 0.26 0.487 0.03
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