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

Arora, Sanjay; Youtie, Jan; Shapira, Philip; Gao, Lidan; Ma, Tingting

doi:10.1007/s11192-013-0950-7

Cited by 47 publications

(38 citation statements)

References 33 publications

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“…This approach is taken by the following studies: Youtie et al (2012) use web scraping to explore the transitions from discovery to commercialization of 30 nanotechnology SMEs. Arora et al (2013) use a similar approach to analyze entry strategies of SMEs commercializing emerging graphene technologies. Both study approaches are able to identify different innovation stages.…”

Section: Previous Researchmentioning

confidence: 99%

Web Mining of Firm Websites: A Framework for Web Scraping and a Pilot Study for Germany

Kinne

Axenbeck

2018

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. http://ftp.zew.de/pub/zew-docs/dp/dp18033.pdf Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar. Terms of use: Documents inDis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW. August 2018Abstract: Nowadays, almost all (relevant) firms have their own websites which they use to publish information about their products and services. Using the example of innovation in firms, we outline a framework for extracting information from firm websites using web scraping and data mining. For this purpose, we present an easy and free-to-use web scraping tool for large-scale data retrieval from firm websites. We apply this tool in a large-scale pilot study to provide information on the data source (i.e. the population of firm websites in Germany), which has as yet not been studied rigorously in terms of its qualitative and quantitative properties. We find, inter alia, that the use of websites and websites' characteristics (number of subpages and hyperlinks, text volume, language used) differs according to firm size, age, location, and sector. Web-based studies also have to contend with distinct outliers and the fact that low broadband availability appears to prevent firms from operating a website. Finally, we propose two approaches based on neural network language models and social network analysis to derive firm-level information from the extracted web data.

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Section: Previous Researchmentioning

confidence: 99%

Web Mining of Firm Websites: A Framework for Web Scraping and a Pilot Study for Germany

Kinne

Axenbeck

2018

SSRN Journal

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“…5 South Korea France India UK that a more multi-sectoral, multi-disciplinary approach worked better in the US, while a more focused approach worked better in Europe. 6 In this same vein, we developed a process for gathering and analyzing data on small and medium-sized company websites (webscraping). Webscraping involved accessing, extracting, and coding data not only from the current company websites but also from older websites archived in the Wayback Machine, which enabled us to track company changes over time and eventually to associate it with changes in company performance.…”

Section: Table 1 the Core Georgia Tech Nano Search Strategymentioning

confidence: 99%

“…In graphene, the discovery-to application cycle is accelerated and rapidly globalized, but growth patterns vary in different application areas. 10 Drug delivery follows a pattern in 6 Youtie, J., Rogers, J., Heinze, T., Shapira, P., & Tang which nano-enabled delivery platforms are grafted onto current pharmaceuticals, rather than leading to co-development or multi-functional approaches. 11 Likewise, dye-sensitized solar cells offer unique advantages, but compare less favorably with incumbent technologies on energy conversion efficiency and long-term stability.…”

Section: Table 1 the Core Georgia Tech Nano Search Strategymentioning

confidence: 99%

Lessons From 10 Years of Nanotechnology Bibliometric Analysis

Youtie

Porter

Shapira

et al. 2018

Nanotechnology Environmental Health and Safety

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“…This analysis was conducted by automating Google queries with each potentially related keyword. The keyword analysis method for tracking firms' strategies has also been used by Youtie et al (2012) and by Arora et al (2013) in the emerging technologies context.…”

Section: Web Data Mining For Science and Economic Indicatorsmentioning

confidence: 99%

Web Data Mining for Monitoring Business Export Orientation

Blazquez

Domènech

2017

Technological and Economic Development of Economy

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Abstract. The World Wide Web (WWW) has become the largest repository of information in the world, providing a data stream that grows at the same time as the scope of the Internet does in society. As with most Information and Communication Technologies (ICTs), its digital nature makes it easy for computer programs to analyze it and discover information. This is why it is being increasingly explored as a source of new indicators of technology, economics and development. Web-based indicators can be made available on a real-time basis, unlike delayed official data releases. In this paper, we examine the viability of monitoring firm export orientation from automatically retrieved web variables. Our focus on exports is consistent with the role of internationalization in economic development. To evaluate our approach, we first checked to what extent web variables are capable of predicting firm export orientation. Once these new variables are validated, their automated retrieval is assessed by comparing the predictive performance of two nowcast models: one considering the manually retrieved web variables, the other considering the automatically retrieved ones. Our results evidence that i) web-based variables are good predictors for firm export orientation, and ii) the process of extracting and analyzing such variables can be entirely automated with no significant loss of performance. This way, it is possible to nowcast not only the export orientation of a firm, but also of an economic sector or of a region.

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

Cited by 47 publications

References 33 publications

Web Mining of Firm Websites: A Framework for Web Scraping and a Pilot Study for Germany

Web Mining of Firm Websites: A Framework for Web Scraping and a Pilot Study for Germany

Lessons From 10 Years of Nanotechnology Bibliometric Analysis

Web Data Mining for Monitoring Business Export Orientation

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