Are industry associations conducive to radical innovation in biopharmaceutical companies?—The dual effect of absorptive capacity and digital investment

Haojun Wang, Rui Yi, Yili Cao and Bei Lyu ()

Technological Forecasting and Social Change, 2024, vol. 207, issue C

Abstract: Biopharmaceutical companies today view R&D innovation as crucial for gaining a competitive edge. Consequently, achieving radical innovation in biotechnology has become a major concern. While researchers have identified various drivers of radical innovation within firms, they often overlook the significant role that heterogeneous resources in network alliances play. This study addresses this gap by examining industry association embeddedness through the lens of social networking. Focusing on China's listed pharmaceutical manufacturing companies from Shanghai and Shenzhen A-share markets between 2007 and 2021, we find a positive relationship between industry-association embeddedness and radical innovation. Our findings indicate that this positive effect is significantly enhanced by firms' absorptive capacity. Moreover, increased digital investment further strengthens the effect of absorptive capacity on the relationship between industry-association embeddedness and radical innovation. This study offers theoretical insights into the role of intermediary bodies, such as industry associations, in fostering radical innovation. It also provides valuable lessons for biopharmaceutical companies in transitioning economies seeking to explore innovative pathways.

Keywords: Industry associations; Radical innovation; Absorptive capacity; Digital investment (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162524004177
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:207:y:2024:i:c:s0040162524004177

DOI: 10.1016/j.techfore.2024.123619

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().