A model of biomimetic process assets to simulate their impact on strategic goals
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Process assets (PAs) are acknowledged as contributing to the business value of organizations. Even so, they are still classed and employed as passive elements ready for use for special purposes. This paper considers how the evolution of active PAs over time can best influence the achievement of specific strategic objectives for decision making by CEOs regarding which PAs should be empowered and which do not require investment, etc. This proposal is formulated by rethinking PAs as dynamic elements armed with biomimetic intelligence. This means conceiving of PAs as live elements that interact and make use of swarm intelligence in order to provide a permanent overview of individual PA evolution and its impact on strategic goals. The NetLogo modelling and simulation tool was used to build the proposed model. The input for the simulation model was taken from a real experience of PAs previously identified and assessed in an information technology company.
KeywordsIntelligent process assets Intellectual capital Process assets management Strategic goals achievement
This research has been partially funded by Spanish Ministry of Science and Technology, project no. TIN2011-27244.
- April, A., & Laporte, C. (2009). An overview of software engineering process and its improvement. In E. W. Duggan & H. Reichgelt (Eds.), Encyclopedia of information Science and Technology (pp. 2984–2989). Hershey: Idea Group Publishing.Google Scholar
- Axtle, M. (2006). Intellectual capital (intangible assets) valuation considering the context. Journal of Business, 4(9), 35–42.Google Scholar
- Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm intelligence: From natural to artificial systems. New York: Oxford University Press.Google Scholar
- Chrissis, M. B., Konrad, M., & Shrum, S. (2011). CMMI for Development®: Guidelines for Process Integration and Product Improvement. (I. Pearson Education, Ed.) (Third Edit). Boston, MA: Software Engineering Institute. Retrieved from http://proquest.safaribooksonline.com/book/software-engineering-and-development/cmmi/9780132700450.
- Dugarte-Peña, G. L. (2015). Modelado y Simulación de un Proceso de Desarrollo de Software dirigido por el Método de Craig Larman: Una aplicación de la dinámica de sistemas. (Modelling and Simulation of a Craig Larman Methods’ Software Development Process: A Systems Dynamics Approach). Universidad Carlos III de Madrid. Retrieved from http://promise.sel.inf.uc3m.es/home/thesis/Craig_Larman_Process_System_Dynamics_Model.pdf/view.
- Ebubekir, K. (2010). The Bees Algorithm Theory, Improvements and Applications. Manufacturing Engineering Centre School of Engineering University of Wales; Cardiff United Kingdom, (March).Google Scholar
- Forrester, J. W. (1998). System dynamics, alternative futures, and scenarios. In 16th International Conference of The System Dynamics Society. Québec City: The System Dynamics Society. Retrieved from http://www.systemdynamics.org/conferences/1998/PROCEED/00095.PDF.
- Guo, Y., & Wilensky, U. (2014). NetLogo BeeSmart Hive Finding model. Evanston, IL, USA: Center for Connected Learning and Computer-Based Modeling, Northwestern University. Retrieved from http://ccl.northwestern.edu/netlogo/models/BeeSmartHiveFinding.
- Madachy, R. J. (2008). Software Process Dynamics. (IEEE Press, Ed.). Hoboken: John Wiley & Sons, Inc..Google Scholar
- Martı, G., Delgado-verde, M., Amores-salvado, J., & Navas-lo, E. (2013). Linking human, technological, and relational assets to technological innovation: exploring a new approach, (January), 123–132. doi: 10.1057/kmrp.2013.8.
- P.M.I. (2013a). A guide to the project management body of knowledge (PMBOK® guide). (Fifth edit). Pennsylvania: Project Management Institute, Inc. Retrieved from http://proquest.safaribooksonline.com/book/software-engineering-and-development/project-management/9781935589679.
- P.M.I. (2013b). Software extension to the PMBOK® guide (5th ed.). Pennsylvania: Project Management Institute, Inc.Google Scholar
- Resnick, M. (1994). Turtles, termites and traffic jams: Explorations in massively parallel microworlds. Cambridge: MIT Press.Google Scholar
- Ross, J., Ross, G., Dragonetti, N., & Edvinsson, L. (1998). Intellectual capital navigating in the new business landscape. New York: New York University Press.Google Scholar
- Ruiz-Robles, R.-A. (2011). Aproximación a un Marco de Trabajo para la Mejora de la Productividad de Organizaciones de Desarrollo de Software a través de la Gestión del Conocimiento (An Approach to a Framework for Software Development Organizations’ Productivity Improvement through Knowledge Management. Carlos III University of Madrid. Retrieved from http://promise.sel.inf.uc3m.es/home/thesis/Approach_for_Organizations_Productivity_Improvement_through_Knowledge_Management.pdf/view.
- Ruiz-Robles, R.-A. Sanchez-Segura, M.I. (2015). Process Assets Characterization: A Practical Example. is Licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Based on a work at http://promise.sel.inf.uc3m.es/home/thesis/Process_Assets_Characterization_Example.pdf.
- Sanchez-Segura, M.-I., Medina-Dominguez, F., & Ruiz-Robles, A. (2016). Uncovering hidden process assets: A case study. Information Systems Frontiers, 9. doi: 10.1007/s10796-016-9622-5.
- Seeley, T. D. (2011). Five habits of highly effective honeybees (and what we can learn from them). In Honeybee Democracy. Princeton: Princeton University Press.Google Scholar
- Software Engineering Institute. (2010). CMMI for Development, Version 1.3, (November). Retrieved from http://resources.sei.cmu.edu/asset_files/TechnicalReport/2010_005_001_15287.pdf.
- Stewart, T., & Ruckdeschel, C. (1998). Intellectual capital: The new wealth of organizations. Performance Improvement.Google Scholar
- Verdun, J., Paguas, B. D., & Alberti, H. G. (2011). Taxonomy of indicators of intangible assets for the government IT. In 6th Iberian Conference on Information Systems and Technologies (CISTI 2011) (pp. 1–6).Google Scholar
- Wilenski, U. (1999). NetLogo. Evanston, IL: Center for Connected Learning and Computer-Based Modeling, Northwestern University. Retrieved from http://ccl.northwestern.edu/netlogo/.
- Zhang, Y., Agarwal, P., Bhatnagar V., Balochian, S. & Yan, J. (2013). Swarm Intelligence and Its Applications. Hindawi Publishing Corporation: The Scientific World Journal, 2013, p.3. Available at: 10.1155/2013/528069.