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بررسی نقش ناهمگونی شبکه بر قابلیتهای شبکهای و عملکرد دانشی شرکتها در شبکههای زیست دارویی کشور | ||
مدیریت راهبردی دانش سازمانی | ||
دوره 4، شماره 4 - شماره پیاپی 15، اسفند 1400، صفحه 1-37 اصل مقاله (1.09 M) | ||
نوع مقاله: مقاله پژوهشی با اصالت | ||
نویسندگان | ||
عاطیه صفردوست* 1؛ سید سروش قاضی نوری2؛ منوچهر منطقی3؛ محمد نقی زاده2؛ جهانیار بامداد صوفی2 | ||
1دانشجوی دکترای مدیریت تکنولوژی دانشگاه علامه طباطبائی، تهران، ایران | ||
2دانشیار گروه مدیریت فناوری و کارآفرینی دانشگاه علامه طباطبایی، تهران، ایران | ||
3دانشیار گروه مدیریت، دانشگاه مالک اشتر، تهران، ایران | ||
تاریخ دریافت: 02 بهمن 1400، تاریخ بازنگری: 14 اسفند 1400، تاریخ پذیرش: 10 اسفند 1400 | ||
چکیده | ||
شبکههای نوآوری به مجموعه از شرکتها و نهادها اطلاق میگردد که در کنار هم برای یک هدف مشترک که همان توسعه دانش و نوآوری میباشد، تلاش میکنند. اهمیت این شبکهسازیها در حوزههای فناورانه همچون زیست دارو قابلتوجه میباشد. هدف این پژوهش بررسی نقش ناهمگونی شبکه بر قابلیتهای شبکهای و عملکرد دانشی شرکتها در شبکههای زیست دارویی میباشد. به این منظور، ضمن شناسایی ابعاد و مؤلفههای اصلی از طریق مبانی نظری و مصاحبه با پانزده خبره حوزه زیست دارویی، برای پاسخگویی به سؤالات پژوهش، نسبت به تدوین مدل اقدام گردید. بهمنظور بررسی فرضیات پژوهش، پرسشنامههای جمعآوری شده از تعدادی از شرکتهای دانشبنیان زیست دارویی در سراسر کشور با روش مدلسازی معادلات ساختاری و نرمافزار Smart Pls مورد تحلیل قرار گرفت. با توجه به نتایج بهدستآمده نقش ناهمگونی شبکه بر قابلیتهای شبکهای و عملکرد دانشی شرکتها در شبکهها مورد تائید قرار گرفت. همچنین یافتهها نشان داد که ناهمگونی شبکه از طریق توسعه قابلیت شبکهای بر عملکرد دانشی شرکتها نقش مؤثرتری دارد و قابلیتهای شبکهای نقش متغیر میانجی در رابطه بین ناهمگونی دانشی شبکه و عملکرد دانشی شرکتها در شبکه دارد. بر این اساس پیشنهاد میگردد شرکتها برای حضور موفق در شبکههای نوآوری در جهت برقراری ارتباط با طیف گستردهای از اعضای شبکه با ماهیتهای گوناگون اقدام نمایند و قابلیتهای شبکهای خود را توسعه دهند. | ||
کلیدواژهها | ||
شبکه نوآوری؛ قابلیت شبکهای؛ ناهمگونی شبکه؛ عملکرد دانشی شرکت؛ صنعت زیست دارو | ||
عنوان مقاله [English] | ||
Investigating the Role of Network Heterogeneity on Network Capabilities and Knowledge Performance of Firms in the Biopharmaceutical Networks | ||
نویسندگان [English] | ||
Atiyeh Safardoust1؛ Seyed Soroush Ghazi Nouri2؛ Manouchehr Manteghi3؛ Mohammad Naghizadeh2؛ Jahanyar Bamdad Soofi2 | ||
1Ph D Student in technology management, Allameh Tabataba'i University, tehran, Iran | ||
2Associate Professor, Department of Technology Management and Entrepreneurship, Allameh Tabataba'i University | ||
3Associate Professor Malek Ashtar University of Technology | ||
چکیده [English] | ||
Innovation networks refer to a set of firms and other institutions that work together for a common goal، which is the development of knowledge and innovation. The importance of these networks in technological fields such as biomedicine is significant. The purpose of this study is to investigate the role of network heterogeneity on network capabilities and knowledge performance of firms in biopharmaceutical networks. For this purpose، while identifying the main dimensions and components through theoretical foundations and interviewing 15 experts in the field of biopharmaceuticals، to answer the research questions، a model was developed. In order to test the research hypotheses، questionnaires collected from a number of biopharmaceutical knowledge-based companies across the country were analyzed using structural equation modeling and Smart Pls software. According to the obtained results، the role of network heterogeneity on network capabilities and knowledge performance of firms in networks was confirmed. Findings also showed that network heterogeneity has a more effective role on the knowledge performance through the development of network capabilities and network capabilities have a mediating role in the relationship between network knowledge heterogeneity and firm knowledge performance in the network. Accordingly، it is suggested that companies to successfully participate in innovation networks to communicate with a wide range of network members of different natures and develop their network capabilities. | ||
کلیدواژهها [English] | ||
Network Innovation, Network Capability, Network Heterogeneity, knowledge Performance, Biopharmaceutical Industry | ||
مراجع | ||
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Lin, R. J., Tan, K. H., & Geng, Y. (2013). Market demand, green product innovation, and firm performance: evidence from Vietnam motorcycle industry. Journal of Cleaner Production, 40, 101-107.
Mahboudi, F., Hamedifar, H., & Aghajani, H. (2012). Medical biotechnology trends and achievements in Iran. Avicenna journal of medical biotechnology, 4(4), 2002-205.
Maula, M. V., Ahlström, J., Haahkola, K., Heikintalo, M., Lindström, T. S., Ojanperä, H., & Tiainen, A. T. (2006). The Prospects for Successful Early-Stage Venture Capital in Finland. Sitra reports, 70, 2006.
McGrath, H., O’Toole, T., Marino, L., & Sutton-Brady, C. (2018). A relational lifecycle model of the emergence of network capability in new ventures. International Small Business Journal, 36(5), 521-545.
Meseguer-Martinez, A., Ruiz-Ortega, M. J., & Parra-Requena, G. (2020). The social network of a science park: a study of heterogeneity. European Journal of International Management, 14(6), 1095-1118.
Mitrega, M., Ramos, C., Forkmann, S., &Henneberg, S. C. (2011). Networking capability, networking outcomes, and company performance: A nomological model including moderation effects. IMP Conference, Glasgow, 1-26.
Garousi Mokhtarzadeh, Nima, Amoozad Mahdiraji, Hannan, Jafarpanah, Ismail, Jafari-Sadeghi, Vahid and Cardinali, Silvio (2020) Investigating the impact of networking capability on firm innovation performance: using the resource-action-performance framework. Journal of Intellectual Capital, 21 (6). 1009-1034
Mu, J. (2014). Networking capability, network structure, and new product development performance. IEEE Transactions on Engineering Management, 61(4), 599-609.
Nambisan, S., & Sawhney, M. (2011). Orchestration processes in network-centric innovation: Evidence from the field. Academy of management perspectives, 25(3), 40-57.
Newell, A., Huang, Z., & Deng, J. (2017). Associative embedding: End-to-end learning for joint detection and grouping. Advances in neural information processing systems, 30.
Partanen, J., Kohtamäki, M., Patel, P. C., &Parida, V. (2020). Supply chain ambidexterity and manufacturing SME performance: The moderating roles of network capability and strategic information flow. International Journal of Production Economics, 221, 1-41.
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Wang, L., Yan, J., Chen, X., & Xu, Q. (2021). Do network capabilities improve corporate financial performance? Evidence from financial supply chains. International Journal of Operations & Production Management.
Zhang, H., Zhou, M., Rao, H., & Zhou, D. (2021). Dynamic simulation research on the effect of resource heterogeneity on knowledge transfer in R&D alliances. Knowledge Management Research & Practice, 19(3), 370-386. | ||
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