Abstract
Knowledge has always been, and still is, a crucial source of economy. However, during the past few years we have seen a growing interest in treating knowledge as a significant organizational resource for innovation. This trend coincides with the rapid development of ICT, indicating the strong influence that ICTs have on the processes of creating, disseminating, and using knowledge. At present, issues of innovation management and knowledge management are studied independently, which creates a certain gap in the systemic understanding of the innovation development processes. The paper proposes an integrated approach to the issues mentioned. The hierarchy and taxonomy of knowledge are considered from the point of view of their influence on decision-making at different stages of the innovation lifecycle. Our proposition complements and contributes to several recent models of decision-making developed in the frame of the innovation process.
References (42)
- Drucker, P. The Practice of Management; Harper & Brothers: New York, NY, USA, 1954.
- Simon, H.A. Administrative Behavior; The Free Press: New York, NY, USA, 1976.
- Ackoff, R.L. From Data to Wisdom. J. Appl. Syst. Anal. 1989, 16, 3-9.
- Rowley, J. The wisdom hierarchy: Representations of the DIKW hierarchy. J. Inf. Sci. 2007, 33, 63-80. [CrossRef]
- Zins, C. Conceptual Approaches for Defining Data, Information, and Knowledge. J. Am. Soc. Inf. Sci. Technol. 2007, 58, 479-493. [CrossRef]
- Gu, J.; Zhang, L. Data, DIKW, big data and data science. Procedia Comput. Sci. 2014, 31, 814-821.
- Cummins, J.; Bawden, D. Accounting for information: Information and knowledge in the annual reports of FTSE 100 companies. J. Inf. Sci. 2010, 36, 283-305. [CrossRef]
- Świgo ń, M. Personal knowledge and information management-Conception and exemplification. J. Inf. Sci. 2013, 39, 832-845. [CrossRef]
- Conger, S.; Probst, J. Knowledge Management in ITSM: Applying the DIKW Model. Intell. Syst. Ref. Libr. 2014, 55, 1-18.
- Aven, T. A conceptual framework for linking risk and the elements of the data-information-knowledge-wisdom (DIKW) hierarchy. Reliab. Eng. Syst. Saf. 2013, 111, 30-36. [CrossRef]
- Stevenson, D. What can we learn from seventh graders. Comput. Sci. Eng. 2014, 16, 66-68. [CrossRef]
- Mishra, A.K. A DIRW Architecture for Cognitive Engineering. Proc. Comput. Sci. 2018, 123, 285-289. [CrossRef]
- Pretorius, J.G.; Mathews, M.J.; Mare, P.; Kleingeld, M.; Rensburg, J. Implementing a DIKW model on a deep mine cooling system. Int. J. Min. Sci. Technol. 2019, 29, 319-326. [CrossRef]
- Mueller, J.; Hutter, K.; Fueller, J.; Matzler, K. Virtual worlds as knowledge management platform-A practice perspective. Inf. Syst. J. 2011, 21, 479-501. [CrossRef]
- Zhong, N.; Ma, J.H.; Huang, R.H.; Liu, J.M.; Yao, Y.Y.; Zhang, Y.X.; Chen, J.H. Research challenges and perspectives on Wisdom Web of Things (W2T). J. Supercomput. 2013, 64, 862-882. [CrossRef]
- Chen, J.; Ma, J.; Zhong, N.; Yao, Y.; Liu, J.; Huang, R.; Li, W.; Huang, Z.; Gao, Y. WaaS: Wisdom as a service. IEEE Intell. Syst. 2014, 29, 40-47. [CrossRef]
- Frické, M. The knowledge pyramid: A critique of the DIKW hierarchy. J. Inf. Sci. 2009, 35, 131-142. [CrossRef]
- Liew, A. Understanding Data, Information, Knowledge and their Inter-Relationships. J. Knowl. Manag. Pract. 2007, 8, 1-16.
- Masud, L.; Valsecchi, F.; Ciuccarelli, P.; Ricci, D.; Caviglia, D. From Data to Knowledge. Visualizations as transformation processes within the Data-Information-Knowledge continuum. In Proceedings of the 2010 14th International Conference Information Visualisation, London, UK, 26-29 July 2010; pp. 445-449.
- Pan, D. An integrative framework for continuous knowledge discovery. J. Converg. Inf. Technol. 2010, 5, 46-53.
- Alavy, M.; Leidner, D.E. Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Q. 2001, 25, 107-136. [CrossRef]
- Argote, L.; Beckman, S.; Epple, D. The Persistence and Transfer of Learning in Industrial Settings. Manag. Sci. 1990, 36, 1750-1763. [CrossRef]
- Nonaka, I.; Takeuchi, H. The Knowledge-Creating Company. How Japanese Companies Create the Dynamics of Innovation; Oxford University Press: New York, NY, USA, 1995.
- Bennet, D.; Bennet, A. Engaging tacit knowledge in support of organizational learning. Vine 2008, 38, 72-94. [CrossRef]
- Al-Hawamdeh, S. Knowledge management: Re-thinking information management and facing the challenge of managing tacit knowledge. Inf. Res. 2002, 8. Available online: http://Informationr.net/ir/8-1/paper143.html (accessed on 4 May 2019).
- Hulme, P. Bridging the knowing-doing gap: Know-who, know-what, know-why, know-how and know-when. J. Appl. Ecol. 2014, 51, 1131-1136. [CrossRef]
- Giebels, D.; Buuren, A.; Edelenbos, J. Using knowledge in a complex decision-making process-Evidence and principles from the Danish Houting project's ecosystem-based management approach. Environ. Sci. Policy 2015, 47, 53-67. [CrossRef]
- Nonaka, I.; Konno, N. The concept of 'ba': Building a foundation for knowledge creation. Calif. Manag. Rev. 1998, 40, 40-54. [CrossRef]
- Bates, M.J. Information and knowledge: An evolutionary framework for information science. Inf. Res. 2005, 10. Available online: http://informationr.net/ir/10-4/paper239.html (accessed on 4 May 2019).
- Freeman, C. Technology Policy and Economic Performance: Lessons from Japan; Pinter: London, UK, 1987.
- Freeman, C. The 'National System of Innovation' in historic perspective. Camb. J. Econ. 1995, 19, 5-24.
- Lundvall, B.A. National innovation systems-Analytical concept and development tool. Ind. Innov. 2007, 14, 95-119. [CrossRef]
- Nelson, R.R. National Innovation Systems. A Comparative Analysis; Oxford University Press: Oxford, UK, 1993.
- Cooke, P.; Uranga, M.G.; Etxebarria, G. Regional innovation systems: institutional and organisational dimensions. Res. Policy 1997, 26, 475-491. [CrossRef]
- Allen, P. A complex systems approach to learning in adaptive networks. Int. J. Innov. Manag. 2001, 5, 149-180. [CrossRef]
- Nurulin, Y.; Skvortsova, I. Conceptual model of information support for taking decisions, IV International Scientific Conference. The Convergence of Digital and Physical Worlds: Technological, Economic and Social Challenges. SHS Web Conf. 2018, 44, 00064. [CrossRef]
- Bouali, S.; Buscarino, A.; Fortuna, L.; Frasca, M.; Gambuzza, L.V. Emulating complex business cycles by using an electronic analogue. Nonlinear Anal. Real World Appl. 2012, 13, 2459-2465. [CrossRef]
- Andriani, P.; Conti, F.; Fortuna, L.; Frasca, M.; Passiante, G.; Rizzo, A. Innovation Systems by Nonlinear Networks. Nonlinear Dyn. 2006, 44, 263-268. [CrossRef]
- Chesbrough, H. Open Innovation: The New Imperative for Creating and Profiting from Technology; Harvard Business School Press: Boston, MA, USA, 2003.
- Hemp, P. Death by information overload. Harv. Bus. Rev. 2009, 87, 83-89.
- Zeleny, M. Management support systems: Towards integrated knowledge management. Hum. Syst. Manang. 1987, 7, 59-70.
- Rowley, J.; Slack, F. Conceptions of wisdom. J. Inf. Sci. 2009, 35, 110-119. [CrossRef]