Published Aug 12, 2015
Angela Minzoni Ele?onore Mounoud Majid Fathi Zahraei


There is no need to present another ANP-based approach for weighting criteria within decision making contexts. Academic literature in disciplines like economics, engineering, political sciences, statistics or mathematics testify to the broadness of topics, situations and cultures where the method’s value has been proven. From supply planning or road mapping to monitoring, from crisis management or banking crime to rural water supply, decision makers –both in governments or firms- have implemented this method on the five continents.


However, the method has been used less in areas beyond decision making. For example, in the field of innovation or organisational design, it can be expected that ANP facilitates the formulation of a suitable dynamic to combine the complex links of experts’ representations of the system under study. We advance the hypothesis that the ANP method’s friendliness to rough data, and ability to combine tangible and intangible information can be useful for providing the relevant interactions for living systems like modelling which is at the centre of the cross disciplinary creativity needed to design innovative and balanced operating models. In this context “operating models†shall be understood as the descriptions of how organizations operate across processes, people and technology in order to accomplish their functions.

How to Cite

Minzoni, A., Mounoud, E., & Zahraei, M. F. (2015). USING ANP TO DESIGN A LIVING SYSTEM LIKE BALANCED OPERATING MODEL FOR INTANGIBLE SERVICES. International Journal of the Analytic Hierarchy Process, 7(2).


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innovation, design, strategy, operations, intangible services

Aguilar, J (2005). A survey about fuzzy cognitive maps papers. International Journal of Computational Cognition, 3(2), 27- 33.

Ashkenas, R. (2012). It's time to rethink continuous improvement,

Axelrod, R. (1976). Structure of decision. The cognitive maps of political elites. Princeton, NJ: Princeton University Press.

Bellomo, N. Ed (2008). Modeling complex living systems: A kinetic theory and
stochastic game approach. Modeling and simulation in science, engineering and
technology. Boston, Basel, Berlin: Birkhäuser Publications.

Berthoz, A (2009). La simplexité. Odile Jacob.

Burns, T. & Stalker, G. M. (1961). The management of innovation. London: Tavistock.

Cardoen B. et al (2010). Operating room planning and scheduling: A literature review,
European Journal of Operational Research, 201(3), 921-932.

Castelfranchi, C & Falcone, R (2000).Trust is much more than subjective
probability: Mental components and sources of trust, Proceedings of the 33rd
Hawaii International Conference on System Sciences, 1-10.

Collins, A., and D. Gentner. (1987). How people construct mental models. In D. Holland and N. Quinn (Eds), Cultural models in language and thought (243-268). Cambridge: Cambridge University Press.

Collinson S. (2012). True cost of complexity in the banking sector. Simplicity Partnership.

Da Silva, A.S et al. (2009). ANP and ratings model applied to supplier selection problem, Proceedings on the International Symposium on the AHP, 1-14.

Eaton T. (2011). A cultural analysis of information technology offshore outsourcing : an exercise in multi sited ethnography of virtual work, Wayne State University Dissertations, paper 370.

Jones, N et al. (2011). Mental models: An interdisciplinary synthesis of theory and methods, Ecology and Society, 16(1), 46.

Korff, R. (2003). Local enclosures of globalization. The power of locality. Dialectical Anthropology, 27(1), 1-18.

Kosko, B (1986). Fuzzy cognitive maps, International Journal of Man-Machine Studies, 24, 65-75.

Martinez-Moyano, I et al. (2014). Drift and adjustment in organizational rule compliance: Explaining the regulatory pendulum in financial markets, Organization Science, 25(2), 321.

Maturana, H. & F. Varela. (1980). Autopoiesis and cognition: The realization of the living. Boston Studies in the Philosophy of Sciences, 42. Boston, MA, Dordrecht, Holland: D. Reidel Publications.

Murray, JD (2008). Mathematical biology. Berlin Heidelberg: Springer Verlag.

O'Neil, P. D. and Krane, D. (2012). Policy and organizational change in the federal aviation administration: The ontogenesis of a high-reliability organization. Public Administration Review, 72, 98–111.

Padillo J. M. & M Diaby (1999). A multiple-criteria decision methodology for the make-or-buy problem. International Journal of Production Research, 37 (14), 3203-3229.

Santiago Medina Hurtado. (2010). Modeling of operative risk using fuzzy expert systems In Michael Glykas (Ed.), Fuzzy cognitive maps advances in theory, methodologies, tools and applications (135-159). Berlin Heidelberg: Springer.

Saaty, T.L., (1999). Fundamentals of the analytic network process. ISAHP 1999, Kobe, Japan.

Saaty, T.L. (2005). Theory and applications of the analytic network process: decision making with benefits, opportunities, costs, and risks. Pittsburgh, PA: RWS Publications.

Saaty, T. L. (2008). The analytic hierarchy and analytic network measurement processes:
Applications to decisions under risk, European Journal of Pure and Applied
Mathematics, 1(1), 122-196.

Simon, H.A. (1969). The Sciences of the Artificial. Cambridge, MA: M.I.T. Press.

Staats, B. R., & David M. Upton. (2007). Lean principles, learning, and software production: Evidence from Indian software services, Harvard Business School Working Paper. No. 08-001.

Stylos, C & Groumpos, P. (1999). Mathematical formulation of fuzzy cognitive maps. Proceedings of the 7th Mediterranean Conference on Control and Automation (MED99) Haifa, Israel, 2251- 2261.

Thomas WI & F Znaniecki (1918-1920) The Polish peasant in Europe and America. Monograph of an immigrant group. Chicago: University of Chicago Press.

Web of Science Survey (1995-1997), unpublished survey data

Weick KE (1987). Organizational culture as a source of high reliability. California Management Review, 29, 112-127.

Weick KE (2011). Organizing for transient reliability: the production of dynamic non-events. Journal of Contingencies and Crisis Management, 19, 21-27.

Weick KE, Sutcliffe KM, Obstfeld D (1999). Organizing for high reliability: processes of collective mindfulness. In Sutton RI, Straw BM (Eds). Research in organizational behavior, Vol. 21. (81-124), Greenwich, CT: JAI Press.

Weinberg, G. (1993). Quality software management. New York, N Y: Dorset House.

Wiener, N. (1921) A new theory of measurement: A study in the logic of mathematics,
Proceedings of the London Mathematical Society, 2(19), 181-205.

Womack, J et al (1991) The Machine That Changed the World. New York, Harper Collins.