Invention and business performance in the tissue-engineering industry.
Tissue engineering is a young and interdisciplinary scientific discipline but it offers exciting opportunities to improve the quality of health care for hundreds of thousands of patients. Lured by its potential, several start-up companies, pharmaceutical corporations, and medical device enterprises alike are investing heavily in this sector. Invention is a key driver of competition in this sector. In this study, we aim to explain the variation in inventive output across the different firms in the sector. Our major premise is that firms that forge alliances will be able to tap into the expertise of their partners and thus improve their chances of inventive output. We further argue that alliances that enable technology acquisition or learning will enhance the inventive output of firms more than other kinds of alliances. We measure the inventive output of a company by the number of patents filed. On the basis of a preliminary analysis of seven companies, we find support for the hypotheses. We also argue that, to achieve commercial success, firms need to manage time to market (through alliances or otherwise), have a global outlook, nurture their financial resources, and attain critical mass through mergers.
Pangarkar
Nitin
N
School of Business, Faculty of Engineering, National University of Singapore, Singapore.
Hutmacher
Dietmar W
DW
D001709:Biotechnology / Q000191:economics / Q000458:organization & administration* / Q000706:statistics & numerical data / Q000639:trends; D003132:Commerce / Q000191:economics* / Q000706:statistics & numerical data / Q000639:trends; D007221:Industry / Q000191:economics / Q000458:organization & administration* / Q000706:statistics & numerical data; D007373:Interinstitutional Relations; D018803:Models, Economic; D009936:Organizational Innovation / Q000191:economics*; D010330:Patents as Topic / Q000706:statistics & numerical data; D018581:Technology Transfer; D023822:Tissue Engineering / Q000191:economics* / Q000706:statistics & numerical data / Q000639:trends*; D014481:United States