Review of Studies on Agility in Knowledge Management
Agility in Knowledge Management (AKM) tries to capture agility requirements and their respective answers within the framework of knowledge and learning for organizations. Since it is rather a new construct, it is difficult to claim that it has been sufficiently discussed and analyzed in practical and theoretical realms. Like the term ‘agile learning’, it is also commonly addressed in the software development and information technology fields and across the related areas where those technologies can be applied. The organizational perspective towards AKM, seems to need some more time to become scholarly mature. Nevertheless, in the literature one can come across some implicit usages of this term occasionally. This research is aimed to explore the conceptual background of agility in KM, re-conceptualize it and extend it to business applications with a special focus on e-business.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131549Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 775
 Jain, V., Benyoucef, L., and Deshmukh, S. G., “A new approach for evaluating agility in supply chains using fuzzy association rules mining”, Engineering Applications of Artificial Intelligence, 21(3), 367-385, 2008.
 M. Demarest, “Understanding knowledge management”, Long Range Planning, 30(3), pp. 374-384, 1997.
 J. Moffat; Atkinson, S. R. (2005). The Agile Organization.
 K. D., Fenstermacher, “Revealed process in knowledge management”, Professional Knowledge Management, Third Biennial Conference (pp. 443-454). Kaiserslautren, Germany, 2005.
 Vandergiff, L. J. “Unified approach to agile knowledge-based enterprise decision support. VINE”: The Journal of Information and Knowledge Management Systems, 36(2), 199-210, 2006.
 Landaeta, R. E.; Viscardi, S.; Tolk, A., “Strategic management of SCRUM projects: An Organizational Learning Perspective”, In Proceedings of IEEE International Technology Management Conference, 27-30 June 2011, San Jose,CA, (pp 651-656). Curran Associates, Inc, 2011.
 Senge, P., Kleiner, A., Roberts, C., Ross, R. and Smith, B., “The fifth discipline field book: Strategies and tools for building a learning organization”, London, UK: Nicholas Brealey Publishing Limited, 1994.
 Clark, T. R., & Gottfredson, C. A. (2009). Agile Learning: Thriving in the New Normal. Chief learning officer, 8(12), 18-21.
 Holz, H., Melnik, G., & Schaaf, M. (2003, June). Knowledge management for distributed agile processes: Models, techniques, and infrastructure. In Enabling Technologies: Infrastructure for Collaborative Enterprises, 2003. WET ICE 2003. Proceedings. Twelfth IEEE International Workshops on (pp. 291-294). IEEE.
 Lee G. and W. Xia, “Toward Agile: An Integrated Analysis of Quantitative and Qualitative Field Data on Software Development Agility”, MIS Quarterly 34(1), pp. 87-114, March 2010.
 Fowler, M., & Highsmith, J. (2001). The agile manifesto. Software Development, 9(8), 28-35.
 Kundu, S., McKay, A., & de Pennington, A. (2008). Selection of decoupling points in supply chains using a knowledge-based approach. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 222(11), 1529-1549.
 Cho, B., Hahm, M. G., Choi, M., Yoon, J., Kim, A. R., Lee, Y. J. ... & Jeong, Y. (2015). Charge-transfer-based gas sensing using atomic-layer MoS2. Scientific reports, 5, 8052.
 Blake, M. B., & Singh, L. (2008). Software engineering for web services workflow systems. International Journal of Software Engineering and Knowledge Engineering, 18(02), 157-178.
 Genero, M., Poels, G., & Piattini, M. (2008). Defining and validating metrics for assessing the understandability of entity–relationship diagrams. Data & Knowledge Engineering, 64(3), 534-557.
 Macris, A., Papakonstantinou, D., Malamateniou, F., & Vassilacopoulos, G. (2009). Using ontology-based knowledge networks for user training in managing healthcare processes. International Journal of Technology Management, 47(1-3), 5-21.
 Macdonald, S., & Martinez-Uribe, L. (2010). Collaboration to data curation: Harnessing institutional expertise. New Review of Academic Librarianship, 16(S1), 4-16.
 Youssef, M. A., Mohamed, Z., Sawyer Jr, G., & Whaley, G. L., Testing the impact of integrating TQM and DFM on the ability of small to medium size firms to respond to their customer needs. Total Quality Management, 13(3), 301-313, 2010.
 Rönnbäck, L., Regardt, O., Bergholtz, M., Johannesson, P., & Wohed, P. (2010). Anchor modeling—Agile information modeling in evolving data environments. Data & Knowledge Engineering, 69(12), 1229-1253.
 Singh A., K. Singh and Neeraj Sharma, “Agile knowledge management: a survey of Indian perceptions”, innovations in Systems and Software Engineering, 10(4), pp 297–315, 2014.
 Dehghani, R., & Ramsin, R. (2015). Methodologies for developing knowledge management systems: an evaluation framework. Journal of Knowledge Management, 19(4), 682-710.
 Ghobadi, S., and Mathiassen, L., “Perceived barriers to effective knowledge sharing in agile software teams. Info Systems J, 26: 95–125, 2016.
 Levy, M., & Hazzan, O. (2009, May). Knowledge management in practice: The case of agile software development. In Cooperative and Human Aspects on Software Engineering, 2009. CHASE'09. ICSE Workshop on (pp. 60-65). IEEE.
 Reifer, D. J. (2002, August). How to get the most out of extreme programming/agile methods? In Conference on Extreme Programming and Agile Methods (pp. 185-196). Springer Berlin Heidelberg.
 Nonaka, I., The knowledge-creating company. Harvard Business Review on Knowledge Management. 21(2), 96-104, 1991.
 O'Byrne, W. T., Weavind, L., & Selby, J. (2008). The science and economics of improving clinical communication. Anesthesiology Clinics, 26(4), 729-744.
 Evans, T. E., Moyer, R. A., Watkins, J. G., Thomas, P. R., Osborne, T. H., Boedo, J. A., ... & Harris, J. (2005). Suppression of large edge localized modes in high confinement DIII-D plasmas with a stochastic magnetic boundary. Journal of nuclear materials, 337, 691-696.
 McKellar, H., KM world 100 companies that matter in knowledge management. KM World, 16(3), 18-19., 2007.
 Neveln, I. D., Bai, Y., Snyder, J. B., Solberg, J. R., Curet, O. M., Lynch, K. M., & MacIver, M. A. (2013). Biomimetic and bio-inspired robotics in electric fish research. Journal of experimental Biology, 216(13), 2501-2514.
 Sachin K. Patil, Ravi Kant, A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers, Expert Systems with Applications, Volume 41, Issue 2, pp. 679-693, February 2014.
 Self, D. R., Self, T., Matuszek, T., and Schraeder, M., “Improving organizational alignment by enhancing strategic thinking”, Development and Learning in Organizations: An International Journal, 29(1), 11-14, 2015.
 Juan-Gabriel Cegarra-Navarro, Pedro Soto-Acosta, Anthony K. P. Wensley, Structured knowledge processes and firm performance: The role of organizational agility, Journal of Business Research, Volume 69, Issue 5, pp.1544-1549, May 2016.
 O. Dogan, Agile knowledge management; A review, reconceptualization, and extension to military applications, Old Dominion University, 2012.
 V. Llamas, T. Coudert, L. Geneste, J. C. Romero-Bejarano, A. de Valroger, Proposition of an agile knowledge-based process model, IFAC-PapersOnLine, 49 (12), 2016, pp. 1092-1097.
 H. D. Doran, Agile Knowledge Management in Practice. In: Melnik G., Holz H. (eds) Advances in Learning Software Organizations. LSO 2004. Lecture Notes in Computer Science, vol 3096, 2014, Springer, Berlin, Heidelberg.