An integrated model of text mining and chance discovery for strategic planning on thin-film solar cell technology

摘要

Technological strategies are essential for a company and its stakeholders so as to retain the competitive advantages of company and to facilitate appropriate investment decision-making of stakeholders. Solar cell, one of renewable energies, is growing at a fast pace with its long-lasting and non-polluting natures. In order to provide a possible approach for technological strategy generation, an integrated model has been proposed where text mining is employed to perform the cluster analysis, and chance discovery is adopted to conduct the association analysis (via KeyGraph and data crystallization). Therefore, the technical topics will be produced after the cluster analysis; the subtopics will be created after the KeyGraph generation; and the relations between/among companies and techniques (subtopics) will be recognized after the data crystallization. Consequently, the relation patterns have been identified from the relations between/among companies and techniques. Finally, according to the relation patterns, the strategic suggestions of thin-film solar cell technology have been generated for companies and stakeholders.