High technology in emerging markets

Author:

Ahn Mark J.,Hajela Ashish,Akbar Mohammad

Abstract

PurposeBuilding a bioeconomy requires efficient technology transfer and global linkages to exploit finite intellectual property exclusivity periods. Using a resource‐based view lens, this paper aims to assess the priorities, capabilities, and competitiveness of the emerging bioeconomy in India.Design/methodology/approachA triangulated design was used that involved interviews, case studies and a survey of 61 India biotechnology industry participants.FindingsTwo high priority capabilities were identified as being critical to fostering a competitive bioeconomy – access to talent and access to funding. Participants also identified the critical role of government in building and coordinating infrastructure, enabling critical capabilities, and accelerating bi‐directional technology and capital flows. This study reinforces the resource‐based view strategy framework regarding the importance of local context for biotechnology research.Practical implicationsImplications include the need for public‐private sector collaboration to strengthen industry infrastructure and enable biotechnology start‐ups, partnering between academia and government to accelerate technology transfer, and importance of seeking international investment and alliances early in a company's lifecycle to ensure sustainability.Originality/valueThese India‐centric lessons may be valuable in advancing knowledge for building successful biotechnology clusters, particularly for emerging market countries.

Publisher

Emerald

Subject

Public Administration,General Business, Management and Accounting

Reference87 articles.

1. Ahn, M. and Meeks, M. (2007), “Building a conducive environment for life science based entrepreneurship and industry clusters”, Journal of Commercial Biotechnology, Vol. 14, pp. 20‐30.

2. Ahn, M., Meeks, M. and Davenport, S. (2009a), “Death of distance: biotechnology agglomeration patterns, alliance proximity and firm performance”, International Journal of Innovation and Technology Management, Vol. 6 No. 3, pp. 247‐64.

3. Ahn, M., Davenport, S., Meeks, M. and Bednarek, R. (2009b), “Exploring technology agglomeration patterns for multinational pharmaceutical and biotechnology firms”, Journal of Commercial Biotechnology, Vol. 16, pp. 17‐32.

4. Almeida, P. and Kogut, B. (1999), “Localization of knowledge and the mobility of engineers in regional networks”, Management Science, Vol. 4597, pp. 905‐17.

5. Andersson, T., Serger, S., Sorvik, J. and Hansson, E.W. (2004), The Cluster Policy Whitebook, International Organization for Knowledge Economy and Enterprise Development (IKED), Malmö.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3