A Discrete Event Model of Viability Building in a Public University Organization

In the context of today’s interconnected world, public higher education is confronted with a shift of its role from public good to public service, which is accompanied by new challenges in building and maintaining the viability of public universities. There is a vast literature on this topic, but there is not yet reported a systematic approach in modeling the basic steps of decision making and problem solving to be completed by a public university to remain viable. Starting from the concepts of service system, and consonance and resonance as key viability conditions, this paper proposes a discrete event model of the viability building and maintaining process in a generic public university organization. The model evolution is driven by events conditioned by internal, external, or mixed causes. Some of the uncontrollable events occurring in the process may drive the discrete evolution to disturbance rejection states, where specific recovery strategies are applied. If recovery is successful, disturbances may...

[1]  Mahsa Dorri,et al.  A Review on Value Chain in Higher Education , 2012 .

[2]  S. Cheah,et al.  Assessing economic impact of research and innovation originating from public research institutions and universities—case of Singapore PRIs , 2016 .

[3]  D. Dill Higher education markets and public policy , 1997 .

[4]  Zhi-Ting Zhu,et al.  A research framework of smart education , 2016, Smart Learning Environments.

[5]  Elena Del Rey,et al.  COMPETITION BETWEEN PUBLIC AND PRIVATE UNIVERSITIES: QUALITY, PRICES AND EXAMS * , 2004 .

[6]  Stephen L. Vargo,et al.  Evolving to a New Dominant Logic for Marketing , 2004 .

[7]  Francesco Polese,et al.  Smart Service Systems and Viable Service Systems: Applying Systems Theory to Service Science , 2010 .

[8]  Paolo Piciocchi,et al.  An Integrated SS-VSA Analysis of Changing Job Roles , 2010 .

[9]  Stephen L. Vargo,et al.  Institutional Complexity as a Driver for Innovation in Service Ecosystems , 2016 .

[10]  Paul P. Maglio,et al.  Fundamentals of service science , 2008 .

[11]  M. Cho Technological catch-up and the role of universities: South Korea’s innovation-based growth explained through the Corporate Helix model , 2014 .

[12]  Irene C. L. Ng,et al.  Viable Service Systems and Decision Making in Service Management , 2012 .

[13]  Geert Poels,et al.  Towards a Service System Ontology for Service Science , 2011, ICSOC.

[14]  C. Ogbogu The Role of Committees in the Decision-Making Process in Nigerian Universities , 2013 .

[15]  Zheng-Kui Lin,et al.  A Decision Model for Information Systems Outsourcing: Using a Multicriteria Method , 2008 .

[16]  Francesco Polese,et al.  Linking the Viable System and Many-to-Many Network Approaches to Service Dominant Logic and Service Science , 2010 .

[17]  Lam-for Kwok,et al.  A vision for the development of i-campus , 2015, Smart Learning Environments.

[18]  S. Marginson,et al.  Beyond national states, markets, and systems of higher education: A glonacal agency heuristic , 2002 .

[19]  P. Samuelson The Pure Theory of Public Expanditure , 1954 .

[20]  Richard C. Larson Editorial Column—Education: Our Most Important Service Sector , 2009 .

[21]  W. Cummings The institutions of education : a comparative study of educational development in the six core nations , 2003 .

[22]  Kelly A. Lyons,et al.  Characterizing organizations as service systems , 2013 .

[23]  A Comparative Study on Quality of Education Received by Students of Private Universities versus Public Universities , 2016 .