New technology foresight method based on intelligent knowledge management

Abraham B P, Moitra S D (2001). Innovation assessment through patent analysis. Technovation, 21(4): 245–252 Anand S S, Bell D A, Hughes J G (1996). EDM: A general framework for data mining based on evidence theory. Data & Knowledge Engineering, 18(3): 189–223 Antonio A L, Chang M J, Hakuta K, Kenny D A, Levin S, Milem J F (2004). Effects of racial diversity on complex thinking in college students. Psychological Science, 15(8): 507–510 Bai G Z, Zheng Y R, Wu X N, Jin J B, Liu Q Y (2017). Research and demonstration on forecasting method of disruptive technology based on literature knowledge correlation. Journal of Intelligence, 36(9): 38–44 (in Chinese) Bang D, Frith C D (2017). Making better decisions in groups. Royal Society Open Science, 4(8): 170193 Brockhoff K K (2002). Indicators of firm patent activities. In: Technology Management: The New International Language. IEEE, 476–481 Cao L (2010). Domain-driven data mining: Challenges and prospects. IEEE Transactions on Knowledge and Data Engineering, 22(6): 755–769 Cascini L, Fornaro G, Peduto D (2009). Analysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas. ISPRS Journal of Photogrammetry and Remote Sensing, 64 (6): 598–611 Celiktas M S, Kocar G (2012). Foresight analysis of wind power in Turkey. International Journal of Energy Research, 36(6): 737–748 Courtney J F (2001). Decision making and knowledge management in inquiring organizations: Toward a new decision-making paradigm for DSS. Decision Support Systems, 31(1): 17–38 Czaplicka-Kolarz K, Stańczyk K, Kapusta K (2009). Technology foresight for a vision of energy sector development in Poland till 2030. Delphi survey as an element of technology foresighting. Technological Forecasting and Social Change, 76(3): 327–338 Davenport E, Cronin B (2000). The citation network as a prototype for representing trust in virtual environments. In: The Web of Knowledge: A Festschrift in Honor of Eugene Garfield. Medford, NJ: Information Today, 517–534 Drew S A W (2006). Building technology foresight: Using scenarios to embrace innovation. European Journal of Innovation Management, 9 (3): 241–257 Elgendy N, Elragal A (2014). Big data analytics: A literature review paper. In: Perner P, ed. Advance in Data Mining. Applications and Theoretical Aspects. ICDM 2014. Cham: Springer, 214–227 Fang W, Cao X W, Gao X W (2017). Technology forecasting and foresight: Concepts, methods, and practices. Global Science, Technology and Economy Outlook, 32(3): 46–53 (in Chinese) Georghiou L G, Halfpenny P (1996). Equipping researchers for the future. Nature, 383(6602): 663–664 Grupp H, Linstone H A (1999). National technology foresight activities around the globe: Resurrection and new paradigms. Technological Forecasting and Social Change, 60(1): 85–94 Halal W E (2013). Forecasting the technology revolution: Results and learnings from the TechCast project. Technological Forecasting and Social Change, 80(8): 1635–1643 Hong L, Page S E (2004). Groups of diverse problem solvers can outperform groups of high-ability problem solvers. Proceedings of the National Academy of Sciences of the United States of America, 101(46): 16385–16389 Hussain M, Tapinos E, Knight L (2017). Scenario-driven roadmapping for technology foresight. Technological Forecasting and Social Change, 124: 160–177 Jun S, Park S, Jang D (2015). A technology valuation model using quantitative patent analysis: A case study of technology transfer in big data marketing. Emerging Markets Finance & Trade, 51(5): 963–974 Kanama D (2013). Development of technology foresight: Integration of technology roadmapping and the Delphi Method. In: Moehrle M G, Isenmann R, Phaal R, eds. Technology Roadmapping for Strategy and Innovation. Berlin, Heidelberg: Springer, 151–171 Karlsen J E (2014). Design and application for a replicable foresight methodology bridging quantitative and qualitative expert data. European Journal of Futures Research, 2(1): 40 Katsikopoulos K V, King A J (2010). Swarm intelligence in animal groups: When can a collective out-perform an expert? PLoS One, 5 (11): e15505 Liang S, Ji X T, Li Y (2015). Application of patent scientometrics methods in technology foresight—Take the new energy automobile as an example. Journal of Intelligence, 34(2): 73–78 (in Chinese) Liang S, Li Z F (2017). Shaping the future: The possibility and reliability of technology foresight. Studies in Dialectics of Nature, 33(7): 25–30 (in Chinese) Liu Y F, Zhou Y, Liao L (2016). Application of big data analysis method in technology foresight for strategic emerging industries. Strategic Study of CAE, 18(4): 121–128 (in Chinese) Loyd D L, Wang C S, Phillips K W, Lount Jr R B (2013). Social category diversity promotes premeeting elaboration: The role of relationship focus. Organization Science, 24(3): 757–772 Luan J (2002). Data mining and knowledge management in higher education, potential applications. In: Workshop Associate of International Conference. Toronto: 1–18 Magruk A (2011). Innovative classification of technology foresight methods. Technological and Economic Development of Economy, 17 (4): 700–715 Martin B R, Johnston R (1999). Technology foresight for wiring up the national innovation system: Experiences in Britain, Australia, and New Zealand. Technological Forecasting and Social Change, 60(1): 37–54 McGarry K (2005). A survey of interestingness measures for knowledge discovery. Knowledge Engineering Review, 20(1): 39–61 Murry Jr J W, Hammons J O (1995). Delphi: A versatile methodology for conducting qualitative research. The Review of Higher Education, 18(4): 423–436 Nonaka I, Toyama R, Konno N (2001). SECI, Ba, and leadership: A unified model of dynamic knowledge creation. Long Range Planning, 33(1): 5–34 Østergaard C R, Timmermans B, Kristinsson K (2011). Does a different view create something new? The effect of employee diversity on innovation. Research Policy, 40(3): 500–509 Pietrobelli C, Puppato F (2016). Technology foresight and industrial strategy. Technological Forecasting and Social Change, 110(3): 117–125 Qiao Y (2013). Application of patent bibliometrics methods in technology foresight—Take the subsection of metallurgy as an example. Journal of Intelligence, 32(4): 34–37 + 27 (in Chinese) Ren H Y, Yu L T, Wang F F (2016). Hotpots and trends of technology foresight research at home and abroad. Journal of Intelligence, 35(2): 81–87 + 115 (in Chinese) Schaeffer G J, Uyterlinde M A (1998). Fuel cell adventures. Dynamics of a technological community in a quasi-market of technological options. Journal of Power Sources, 71(1–2): 256–263 Shin K S, Han I (2001). A case-based approach using inductive indexing for corporate bond rating. Decision Support Systems, 32(1): 41–52 Spinosa L M, Quandt C O, Ramos M P (2002). Toward a knowledge-based framework to foster innovation in networked organisations. In: The 7th International Conference on Computer Supported Cooperative Work in Design. IEEE, 308–313 Stiles E, Cui X (2010). Workings of collective intelligence within open source communities. In: International Conference on Social Computing, Behavioral Modeling, and Prediction. Berlin, Heidelberg: Springer, 282–289 Takahashi S, Owan H, Tsuru T, Uehara K (2014). Multitasking incentives and biases in subjective performance evaluation. Technical Report. Kunitachi, Japan: Institute of Economic Research, Hitotsu-bashi University Thorleuchter D, Van den Poel D (2013). Web mining based extraction of problem solution ideas. Expert Systems with Applications, 40(10): 3961–3969 Tichy G (2004). The over-optimism among experts in assessment and foresight. Technological Forecasting and Social Change, 71(4): 341–363 Wack P (2017). Shooting the rapids. Historical Evolution of Strategic Management, I and II(1): 121 Wang Z L, Guan Q, Lan J (2015). Bibliometric analysis of domestic technology foresight research. Journal of Modern Information, 35(4): 98–101 + 107 (in Chinese) Wells W, Spence-Stone R, Moriarty S, Burnett J (2008). Advertising Principles and Practice. Australian ed. Sydney, Australia: Pearson Education Willyard C H, McClees C W (1987). Motorola’s technology roadmap process. Research Management, 30(5): 13–19 Yoon J P, Kerschberg L (1993). A framework for knowledge discovery and evolution in databases. IEEE Transactions on Knowledge and Data Engineering, 5(6): 973–979 Zhang F, Kuang Y (2016). The implementation and enlightenment of Japan’s 10th science and technology foresight. Journal of Intelligence, 35(12): 12–15 + 11 (in Chinese) Zhang L, Li J, Shi Y, Liu X (2009a). Foundations of intelligent knowledge management. Human Systems Management, 28(4): 145–161 Zhang L L, Li J, Li A H, Zhang P, Nie G L, Shi Y (2009b). A new research field: Intelligent knowledge management. In: 2009 International Conference on Business Intelligence and Financial Engineering. IEEE, 450–454 Zhang L, Li J, Zhang Q, Meng F, Teng W (2019a). Domain knowledge-based link prediction in customer-product bipartite graph for product recommendation. International Journal of Information Technology & Decision Making (IJITDM), 18(1): 311–338 Zhang L, Zhao M, Feng Z (2019b). Research on knowledge discovery and stock forecasting of financial news based on domain ontology. International Journal of Information Technology & Decision Making (IJITDM), 18(3): 953–979 Zhang L L, Zhao M H, Wang Q (2016). Research on knowledge sharing and transfer in remanufacturing engineering management based on SECI model. Frontiers of Engineering Management, 3(2): 136–143 Zhao M H, Zhang L L, Zhang L B, Wang F (2018). Research on technology foresight method based on intelligent convergence in open network environment. In: International Conference on Computational Science. Cham: Springer, 737–747 Zhou Y, Liu H L, Liao L, Xue L (2017). Literature review of quantitative technology foresight methods based on topic modeling. Science and Technology Management Research, 37(11): 185–196 (in Chinese)