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A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathway (FIP)

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Anticipating Future Innovation Pathways Through Large Data Analysis

Part of the book series: Innovation, Technology, and Knowledge Management ((ITKM))

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Abstract

Given the importance of innovation pathway and to meet the rapid growth of tech mining requirements, a novel conceptual framework for tech mining engineering (TME) is proposed to enhance the planning of future innovation pathway. Especially for those small and medium-sized enterprises (SMEs). The framework is intended to improve or guarantee the quality and efficiency of tech mining using engineering methodologies and technical standards. Certain basic elements of TME are defined and illustrated and the enormous potential and promising market for TME are discussed as subjects of future research and applications.

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Acknowledgments

This work was supported by the Fundamental Research Funds for the Central Universities (No. 2015XZD15), Soft Science Research Project of Guangdong Province (No. 2013B070206020), Guangdong Province Key Laboratory Open Foundation (No. 2011A06090100101B), and Technology Trading System and Science and Technology Service Network Construction Project of Guangdong Province (No. 2014A040402003).

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Authors and Affiliations

  1. School of Business Administration, South China University of Technology, Guangzhou, People’s Republic of China

    Munan Li

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  1. Munan Li
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Correspondence to Munan Li .

Editor information

Editors and Affiliations

  1. Dept. of Engineering and Technology Mana, Portland State University, Portland, Oregon, USA

    Tugrul U. Daim

  2. Search Technology, Inc, Norcross, Georgia, USA

    Denise Chiavetta

  3. Georgia Institute of Technology, Roswell, Georgia, USA

    Alan L. Porter

  4. Higher School of Economics, National Research University, Moscow, Russia

    Ozcan Saritas

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Li, M. (2016). A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathway (FIP). In: Daim, T., Chiavetta, D., Porter, A., Saritas, O. (eds) Anticipating Future Innovation Pathways Through Large Data Analysis. Innovation, Technology, and Knowledge Management. Springer, Cham. https://doi.org/10.1007/978-3-319-39056-7_2

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