What affects the innovation performance of small and medium-sized enterprises (SMEs) in the biotechnology industry? An empirical study on Korean biotech SMEs

Kang, Kyung-nam; Lee, Jun Young

doi:10.1007/s10529-008-9745-y

Cited by 23 publications

(24 citation statements)

References 20 publications

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“…In 2006, the second framework plan for pan-governmental BT promotion, BioVision 2016 (2007–2016), was established to transform BT into a national economic growth sector, with a budget of Won 14.3 trillion (US$ 16.6 billion) [ 52 ]. This result is consistent with the finding that these strong efforts of the Korean government helped increase the innovation capacity in BT [ 82 – 84 ].…”

Section: Resultssupporting

confidence: 92%

Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea

et al. 2016

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This study was designed to improve the explanation for the behavior of the phenomenon of technology convergence. The concepts and measurements of diversity and persistence, as inherent attributes of the phenomenon, were elaborated by reviewing different theories. Diversity was examined by analyzing the degree of capability to absorb heterogeneous technologies, while persistence was investigated by analyzing the degree of continuity in the usage of cumulated technologies. With these two dimensions, an analytic framework was proposed to compare the differences and dynamic patterns of convergence competence by countries at the technology sector level. Three major technology sectors in the United States and South Korea, namely, information and communication technology, biotechnology, and nanotechnology, were explored to explicitly illustrate the differences in technology convergence competence. The results show that although Korea has narrowed the differences of capabilities for technology convergence compared to the US, Korea not only has to continuously pursue the improvement of specialization for all three sectors, but also has to encourage the exploitation of different technology fields. The suggested framework and indicators allow for monitoring of the dynamic patterns of a technology sector and identifying the sources of the gaps. Thus, the framework and indicators are able to ensure the purpose of government innovation policy and to provide strategic directions for redistributing the proper combination of sources to accomplish technology convergence.

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Section: Resultssupporting

confidence: 92%

Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea

et al. 2016

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“…For this reason, it is important for the Korean government to provide financial support for Korean SMMEs to encourage their MES implementations. This is also similar to the results of other studies where the role of government had a positive impact on promoting e-business (Jeon et al 2006) and R&D in the biotechnology industry (Kang and Lee 2008).…”

Section: Discussionsupporting

confidence: 91%

Successful implementations of MES in Korean manufacturing SMEs: an empirical study

Lee

Hong

Katerattanakul

et al. 2012

International Journal of Production Research

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This study explores the factors that affect the successful implementation of the Manufacturing Execution Systems (MES) in small and medium manufacturing enterprises (SMMEs). To this end, a survey was carried out. Responses from 163 SMMEs were analysed. The results found that all hypothesised variables including top management support, sufficiency of investment, capacity of the system developer, and user participation were critical factors for successful MES implementation in SMMEs. This study is the first empirical study on the successful implementation of MES in SMMEs in the Asia/Pacific region.

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“…Innovations are understood as interactive learning processes that are socially embedded (Moodysson, ), and thus the process naturally lends itself to benefiting from increased interaction with synergistic yet diverse contributors (Becker and Dietz, ; Doloreaux, ). Scholars postulated that interactions with complementary external partners help firm's innovation efforts gain competitive edge by overcoming knowledge deficiencies (Sveiby, ; Gunasekaran, ), as well as accessing scarce resources and competencies (Romijn and Albaladejo, ; Becheikh et al., ; Kang and Lee, ; de Faria et al., ; Lewis et al., ). In fact, for many firms, it is not a simple question of being closed or open with respect to innovation because structured external collaborative innovation can be complementary to internal innovation capabilities (de Faria et al., ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Interorganizational innovation across geographic and cognitive boundaries: does firm size matter?

2015

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A key trend of recent literature is the increased use of interorganizational relationships to achieve organizational objectives. While the phenomenon of collaborative innovation has attracted significant academic interest in recent years, little research has been undertaken to examine how widespread the collaborative phenomenon is relative to organizational size or the diversity of partner organizations being leveraged for collaborative innovation activity. Consequently, this paper seeks to address two research questions. Firstly, the extent to which collaborative innovation is occurring within different sized firms that are research and development active, and secondly, are these different sized firms engaging in collaborative innovation activities with different types of partner organization. The results support earlier studies regarding the increasing practice by industry leveraging interorganizational collaborations in order to support innovation. Findings highlight that large-scale firms are more active than SMEs in leveraging external resources for innovation and that small-sized firms are the firm category least active in the practice. In addition, findings indicate that when small and medium-sized enterprises (SMEs) are collaborating, they leverage both vertical and horizontal partner linkages but that the sector is constrained by geographic distance in terms of the diversity of its collaborating partners.

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What affects the innovation performance of small and medium-sized enterprises (SMEs) in the biotechnology industry? An empirical study on Korean biotech SMEs

Cited by 23 publications

References 20 publications

Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea

Understanding the Dynamic Convergence Phenomenon from the Perspective of Diversity and Persistence: A Cross-Sector Comparative Analysis between the United States and South Korea

Successful implementations of MES in Korean manufacturing SMEs: an empirical study

Interorganizational innovation across geographic and cognitive boundaries: does firm size matter?

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