Mining Authoritativeness of Collaborative Innovation Partners

Abstract

Abstract:The global marketplace over the past decade has called for innovative products and cost reduction. This perplexing duality has led companies to seek external collaborations to effectively deliver innovative products to market. External collaboration often leads to innovation at reduced research and development expenditure. This is especially true of companies which find the most authoritative entity (usually a company or even a person) to work with. Authoritativeness accelerates development and research-to-product transformation due to the inherent knowledge of the authoritative entity. This paper offers a novel approach to automatically determine the authoritativeness of entities for collaboration. This approach automatically discovers an authoritative entity in a domain of interest. The methodology presented utilizes web mining, text mining, and generation of an authoritativeness metric. The concepts discussed in the paper are illustrated with a case study of mining the authoritativeness of collaboration partners for microelectromechanical systems (MEMS).

Analyzing existing customers’ websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing

“…Its fundamental effect on market growth and structure as well as on new customer acquisition is shown (Naude & Holland, 1996;Verhoef et al, 2010). Related work in the field of web mining focuses on the identification of customer's behaviors in the internet (Bose & Mahapatra, 2001;Bucklin & Gupta, 1992;Lee & Chung, 2003;Park & Chang, 2009) and in the identification of collaborative partners (Engler & Kusiak, 2010).…”

Improving a SVM Meta-classifier for Text Documents by using Naive Bayes

“…A document is represented as a vector of words, applying a stop-word filter (from a standard set of 510 stop-words) and extracting the word stem [1]. Entire set of 7083 documents is represented as word frequency matrix where each row represents a single document and each column represents a single word [3]. From these 68 topics we have eliminated those topics that are poorly or excessively represented.…”

Conceptualising ‘macro-regions’: Viewpoints and tools beyond NUTS classification

“…The engineering design of a software product for social network analysis is decisive for the perceptional output of a policy arena (Degenne and Forse, 1999;Hasanagas et al, 2010a). The formulation of 'smart' evaluation algorithms which should be abstract and simultaneously functional and meaningful for a wide range of heterogeneous policy fi elds, from socio-political up to ecological structure analysis (Anghel et al, 2010;Engler and Kusiak, 2010) is a diachronic, substantial and still challenging question in software engineering (Hand et al, 2001;Antonelli and Chiabert, 2010;Cisar et al, 2010;Zamfi rescu and Filip, 2010). The examples suggested until now are mainly related to concrete fi elds such as rural-environmental (Hasanagas et al, 2010b), new rural-urban relationships, spatial (Dimen and Ienciu, 2005), industrial (Antonelli and Chiabert, 2010;Cisar et al, 2010), commercial (Kalay, 2006;Engler and Kusiak, 2010) and public administration issues (Henning and Wald, 2000).…”

“…The formulation of 'smart' evaluation algorithms which should be abstract and simultaneously functional and meaningful for a wide range of heterogeneous policy fi elds, from socio-political up to ecological structure analysis (Anghel et al, 2010;Engler and Kusiak, 2010) is a diachronic, substantial and still challenging question in software engineering (Hand et al, 2001;Antonelli and Chiabert, 2010;Cisar et al, 2010;Zamfi rescu and Filip, 2010). The examples suggested until now are mainly related to concrete fi elds such as rural-environmental (Hasanagas et al, 2010b), new rural-urban relationships, spatial (Dimen and Ienciu, 2005), industrial (Antonelli and Chiabert, 2010;Cisar et al, 2010), commercial (Kalay, 2006;Engler and Kusiak, 2010) and public administration issues (Henning and Wald, 2000). They depict a path leading to a more 'immaterial' perception of networks and to a sharper perceptiveness toward the institutional infrastructure of the reality, but without dealing with the challenge of detecting physically existing spatial macrostructures of politico-administrative importance.…”