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A Preliminary Survey on Innovation Process Management Systems

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Model and Data Engineering (MEDI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8216))

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Abstract

In last decades innovation management has turned out to be a key factor in organizations growth, thus stimulating a strong research activity about such a topic. In the present work we analyse the current state of Literature regarding innovation modelling and management, taking into account different approaches with their main features. Elaborating upon such investigation, we identify open research issues and fruitful research directions for the development of data-driven, analysis-based innovation support and management systems. Finally we introduce the main features of our own approach, based on the analysis of traces generated by innovation activities, following the principles of Process Mining methods, of which an overview is delineated.

This work has been partly funded by the EC through the ICT Project BIVEE: Business Innovation and Virtual Enterprise Environment (FoF-ICT-2011.7.3-285746).

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References

  1. Baregheh, A., Rowley, J., Sambrook, S.: Towards a multidisciplinary definition of innovation. Management Decision 47, 1323–1339 (2009)

    Article  Google Scholar 

  2. Li, M.Y.H.: Systematic Innovation: A successful case to create innovative idea for power transformer overhaul. In: 8th International Conference on Supply Chain Management and Information Systems, pp. 1–3. IEEE Press (2010)

    Google Scholar 

  3. Sheu, D., Lee, H.: A proposed process for systematic innovation. Int. J. of Prod. Res. 49, 847–868 (2011)

    Article  Google Scholar 

  4. Hua, Z., Yang, J., Coulibaly, S., Zhang, B.: Integration TRIZ with problem-solving tools: A literature review from 1995 to 2006. Int. J. of Bus. Inn. and Res. 1, 111–128 (2006)

    Google Scholar 

  5. Bandera, C., Filippi, S., Motyl, B.: A survey on systematic innovation strategies for product design and development. In: Conchieri, G., Meneghello, R., Savio, G. (eds.) International Conference on Innovative Methods in Product Design, pp. 299–306. Libreria internazionale cortina padova (2011)

    Google Scholar 

  6. Triz Journal, http://www.triz-journal.com

  7. Stratton, R., Mann, D.: Systematic innovation and the underlying principles behind TRIZ and TOC. J. of Mat. Proc. Techn. 139, 120–126 (2003)

    Article  Google Scholar 

  8. Changqing, G., Kezheng, H., Fei, M.: Comparison of innovation methodologies and TRIZ. TRIZ Journal, http://www.triz-journal.com/archives/2005

  9. Savransky, S.D.: Engineering of creativity: Introduction to TRIZ Methodology of Inventive Problem Solving. CRC Press (2002)

    Google Scholar 

  10. Akay, D., Demiray, A., Kurt, M.: Collaborative tool for solving human factors problems in the manufacturing environment: the Theory of Inventive Problem Solving Technique (TRIZ) method. Int. J. of Prod. Res. 46, 2913–2925 (2008)

    Article  MATH  Google Scholar 

  11. Ideation International Inc., http://www.ideationtriz.com/software.asp

  12. Mann, D.L.: Better technology forecasting using systematic innovation methods. Tech. Forecasting and Social Change 70, 779–795 (2003)

    Article  Google Scholar 

  13. Narin, F.: Patent bibliometrics. Scientometrics 30, 147–155 (1994)

    Article  Google Scholar 

  14. Yoon, B., Park, Y.: A text-mining-based patent network: analytical tool for high-technology trend. J. High Technol. Managem. Res. 15, 37–50 (2004)

    Article  Google Scholar 

  15. Yoon, B., Park, Y.: A systematic approach for identifying technology opportunities: Keyword-based morphology analysis. Tech. Forecasting and Social Change 72, 145–160 (2005)

    Article  Google Scholar 

  16. Wissema, J.G.: Morphological analysis: its application to a company TF investigation. Futures 8, 146–153 (1976)

    Article  Google Scholar 

  17. Chesbrough, H.W.: Open innovation: the new imperative for creating and profiting from technology. Harvard Business Press (2003)

    Google Scholar 

  18. Wilson, P.: Computer-Supported Cooperative Work. An Introduction. Springer (1991)

    Google Scholar 

  19. Bannon, L., Schmidt, K.: Taking CSCW seriously. Computer Supported Cooperative Work 1, 7–40 (1992)

    Google Scholar 

  20. Fitzpatrick, E.L., Askin, R.G.: Forming effective worker teams with multi-functional skill requirements. Comput. & Ind. Eng. 48, 593–608 (2005)

    Article  Google Scholar 

  21. Wi, H., Oh, S., Mun, J., Jung, M.: A team formation model based on knowledge and collaboration. Expert Systems with Applications 36, 9121–9134 (2009)

    Article  Google Scholar 

  22. Klein, M., Iandoli, L.: Supporting Collaborative Deliberation Using a Large-Scale Argumentation System: The MIT Collaboratorium (2008)

    Google Scholar 

  23. Adamides, E.D., Karacapilidis, N.: Information technology support for the knowledge and social processes of innovation management. Technovation 26, 50–59 (2006)

    Article  Google Scholar 

  24. Wang, H., Osaka, Y.: Idea discovery: A scenario-based systematic approach for decision making in market innovation. Expert Systems with Applications 40, 429–438 (2013)

    Article  Google Scholar 

  25. Van der Aalst, W.M.P., Weijters, A.J.M.M.: Process mining: a research agenda. Comp. in Industry 53, 231–244 (2004)

    Article  Google Scholar 

  26. Rubin, V., Günther, C.W., van der Aalst, W.M.P., Kindler, E., van Dongen, B.F., Schäfer, W.: Process mining framework for software processes. In: Wang, Q., Pfahl, D., Raffo, D.M. (eds.) ICSP 2007. LNCS, vol. 4470, pp. 169–181. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  27. van der Aalst, W.M.P.: Process Mining. Discovery, Conformance and Enhancement of Business Processes. Springer (2011)

    Google Scholar 

  28. Huo, M., Zhang, H., Jeffery, R.: A systematic approach to process enactment analysis as input to software process improvement or tailoring. In: Jalote, P. (ed.) 13th Asia Pacific Software Engineering Conference, pp. 401–410. IEEE Press (2006)

    Google Scholar 

  29. Greco, G., Guzzo, A., Pontieri, L., Saccà, D.: Discovering Expressive Process Models by Clustering Log Traces. IEEE Trans. on Knowledge and Data Engineering 18, 1010–1027 (2006)

    Article  Google Scholar 

  30. Van der Aalst, W.M.P., Giinther, C.W.: Finding structure in unstructured processes: The case for process mining. In: Basten, T., Juhàs, G., Shukla, S. (eds.) 7th International Conference on Application of Concurrency to System Design, pp. 3–12. IEEE Press (2007)

    Google Scholar 

  31. Jonyer, I., Cook, D.J., Holder, L.B.: Graph-based hierarchical conceptual clustering. J. Mach. Learn. Res. 2, 19–43 (2002)

    MATH  Google Scholar 

  32. Diamantini, C., Potena, D., Storti, E.: Mining usage patterns from a repository of scientific workflows. In: 27th Annual ACM Symposium on Applied Computing, pp. 152–157. ACM Press (2012)

    Google Scholar 

  33. Diamantini, C., Genga, L., Potena, D., Storti, E.: Pattern discovery from innovation processes. In: Smari, W.W., Fox, G.C. (eds.) The 2013 International Conference on Collaborative Technologies and Systems, pp. 457–464. IEE (2013)

    Google Scholar 

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Diamantini, C., Genga, L., Potena, D. (2013). A Preliminary Survey on Innovation Process Management Systems. In: Cuzzocrea, A., Maabout, S. (eds) Model and Data Engineering. MEDI 2013. Lecture Notes in Computer Science, vol 8216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41366-7_8

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  • DOI: https://doi.org/10.1007/978-3-642-41366-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41365-0

  • Online ISBN: 978-3-642-41366-7

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