An empirical examination of the science–technology relationship in the biotechnology industry

Subramanian, Annapoornima M.; Soh, Pek-Hooi

doi:10.1016/j.jengtecman.2010.06.003

Cited by 31 publications

(14 citation statements)

References 44 publications

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“…This calls for an investment in basic research and an increase in collaborations with scientific institutions. R&D collaboration with scientific institutions such as universities generates advantages due to knowledge spillover (Cassiman et al 2008;Subramanian and Soh 2010). These joint research should continue for retaining communication channels through informal contact between researcher and scientists.…”

Section: Discussionmentioning

confidence: 99%

“…Science can foster innovation and, through the explanation and understanding of natural phenomena, provides insight for solving technological problems occurring during the research and development (R&D) process (Gibbons and Johnston 1974;Dalrymple 2003). In this sense, previous literature has increasingly focused on the effects and importance of science for innovation (Van Vianen et al 1990;Brooks 1994;Tijssen 2002;Verbeek et al 2002;Gittelman and Kogut 2003;Cassiman et al 2008;Caraça et al 2009;Subramanian and Soh 2010). The common notion found in these studies is that science assists in solving difficulties in the invention process and, as a result, positively influences innovation.…”

Section: Introductionmentioning

confidence: 99%

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The impact of convergence between science and technology on innovation

2016

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This study investigates the effects of convergence of science and technology on innovation impact, specifically how convergence helps R&D organizations to apply scientific knowledge to their R&D activities. In addition to direct effects of convergence, we address the moderating effects of scientific capacity, knowledge spillover, and knowledge maturity from the knowledge side. The empirical analysis, which employs a zero inflated negative binomial regression model uses data on 2074 patents granted to US organizations from the pharmaceutical industry. The results show that an increase in the proportion of scientific knowledge in convergence has a positive and curvilinear relationship with innovation impact. Also, we find that the organization's scientific capacity, regional scientific knowledge spillover, and knowledge maturity positively moderate the relationship between convergence and innovation impact. Our findings underline the importance of convergence between science and technology as well as provide implications on how to improve the outcome of an organization's research and development process.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of convergence between science and technology on innovation

2016

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“…The low level of pay and high labor productivity may be extra competitive in the national manufacturing industry because of low labor cost per unit. However, empirical research confirmed that the low level of the national manufacturing industry corresponds to low technical content (Subramanian and Soh 2010). Low labor cost per unit of manufacturing is not advantageous because it only relies on low-cost labor.…”

Section: Key Cost Factor Analysismentioning

confidence: 99%

Effects of Cost Factors on National Manufacturing Based on Global Perspectives

et al. 2017

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Currently, the real economy is the important basis for the development of a country, especially after the global financial crisis in 2008. Given that the manufacturing industry is the main part of the national real economy, many developed and developing countries have paid considerable attention to its significance. This study focused on cost factors given that they influence national manufacturing development. Initially, this study proposed two elements, namely, manufacturing development scale and manufacturing development level, to evaluate national manufacturing development from two aspects: quantity and quality. Subsequently, we extracted a series of cost factors on the bass of the theoretical framework and literature, including labor costs, financing costs, tax and rental costs, energy and raw materials, foreign trade exports and business environments. On the basis of the data of 13 main manufacturing countries around the world from 2000 to 2015, we tested the influence degree of each cost element index on the scale and level of national manufacturing industry development through a two-way fixed effects model and incorporated it with the development of China's manufacturing industry as a case study. Finally, we deduced the future development trend of the manufacturing industry by specifically analyzing the cost factors affecting the development of this industry and provided policy suggestions. The main innovation and contribution of this study including: to comprehensively evaluate the national manufacturing development from two aspects, namely, "quantity" and "quality"; to identify the impact of national cost of the six elements; to demonstrate and determine the extent of its impact on the development trend of manufacturing sector and carry out pre-judgment through empirical research on each indicator; to provide policy recommendations targeted for each of the indicators.

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“…In addition to accessing greater resources, knowledge integration (Subramanian and Soh, 2010) or the recombination of components to produce valuable technologies is a fundamental organizational function that may contribute to the timeliness of inventions. An organization's existing knowledge base impacts its ability to generate new valuable combinations in the form of various innovations (Fleming and Sorenson, 2004;Galunic and Rodan, 1998;Yayavaram and Ahuja, 2008).…”

Section: Temporal Advantages In Inventingmentioning

confidence: 99%