EconPapers    
Economics at your fingertips  
 

Entry strategies in an emerging technology: a pilot web-based study of graphene firms

Sanjay K. Arora, Jan Youtie, Philip Shapira, Lidan Gao and TingTing Ma
Additional contact information
Sanjay K. Arora: Georgia Institute of Technology
Lidan Gao: Chengdu Library of the Chinese Academy of Sciences
TingTing Ma: Beijing Institute of Technology

Scientometrics, 2013, vol. 95, issue 3, No 22, 1189-1207

Abstract: Abstract We explore pilot web-based methods to probe the strategies followed by new small and medium-sized technology-based firms as they seek to commercialize emerging technologies. Tracking and understanding the behavior of such early commercial entrants is not straightforward because smaller firms with limited resources do not always widely engage in readily visible and accessible activities such as publishing and patenting. However, many new firms, even if small, present information about themselves that is available online. Focusing on the early commercialization of novel graphene technologies, we introduce a “web scraping” approach to systematically capture information contained in the online web pages of a sample of small and medium-sized high technology graphene firms in the US, UK, and China. We analyze this information and devise measures that gauge how firm specialization in the target technology impacts overall market orientation. Three groups of graphene enterprises are identified which vary by their focus on product development, materials development, and integration into existing product portfolios. Country-level factors are important in understanding these early diverging commercial approaches in the nascent graphene market. We consider management and policy implications of our findings, and discuss the value, including strengths and weaknesses, of web scraping as an additional information source on enterprise strategies in emerging technologies.

Keywords: Emerging technology; Graphene; Small and medium enterprise; Commercialization; Market entry; Web scraping; United States; United Kingdom; China; 91 (search for similar items in EconPapers)
JEL-codes: C81 D22 M13 O32 O57 Z18 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-013-0950-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:scient:v:95:y:2013:i:3:d:10.1007_s11192-013-0950-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-013-0950-7

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-30
Handle: RePEc:spr:scient:v:95:y:2013:i:3:d:10.1007_s11192-013-0950-7