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A Practitioner Centred Maturity Model of Information Systems Development. David W. Wilson, School of Computer Science & Information Systems dave@dcs.bbk.ac.uk. Greiner’s notion of a Maturity Model. Stages of Growth for Organisations Organisations are locked into their history
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A Practitioner Centred Maturity Model of Information Systems Development David W. Wilson, School of Computer Science & Information Systems dave@dcs.bbk.ac.uk
Greiner’s notion of a Maturity Model • Stages of Growth for Organisations • Organisations are locked into their history • Stable Stages punctuated by crises • Crises are the inevitable Consequences of the solutions selected to solve the previous crisis (Greiner LE, 1972 Evolution and Revolution as Organisations Grow, Harvard Business Review, July-August pp37-46) IFIP WG8.2 OASIS Washington D.C.
Nolan’s Maturity Models • A bold simplification of complex processes • Recognised various technologies had own growth processes • Invaluable for decades in justifying IS investment (Nolan RL 1984, Managing the Advanced Stages of Computer Technology: Key Research Issues in The Information Systems Research Challenge Proceedings of the Harvard Business School Research Colloquium ed McFarlan FW Harvard Business School Press, Boston. Massachusetts. pp195-214) IFIP WG8.2 OASIS Washington D.C.
Humphrey’s Capability Model • Software Engineering function Specific • Bottom up – quality process oriented • Incremental management development process • One of the more successful attempts to bring order to software developers (Humphrey WS, 1989, Managing the Software Process, Addison-Wesley) IFIP WG8.2 OASIS Washington D.C.
A Strict Maturity Model • An abstraction of the changes of form which a class of phenomena typically exhibit in a single pass of a life-cycle • Composed of a number of stages through which an instance of the class will pass in a particular sequence • Allows prediction of what is likely to happen to an instance IFIP WG8.2 OASIS Washington D.C.
Determinants of a Strict Maturity Model • A set of stages in a given sequence • A number of conditions causing a transition from one stage to the next • A set of facets, the change in state of which may be used to determine whether a transition has occurred IFIP WG8.2 OASIS Washington D.C.
Prediction allows • Possibility of managing transition to later stages possibly limiting ill-effects • Possibility of triggering or retarding entry to the next stage IFIP WG8.2 OASIS Washington D.C.
Objectives & Value • To contribute to a body of knowledge • valuable to practitioners in making career decisions • valuable to curriculum designers IFIP WG8.2 OASIS Washington D.C.
Value of Maturity Models • May facilitate prediction • May identify circumstances where a Stage may be skipped • Explicates pre-conditions for stage transition IFIP WG8.2 OASIS Washington D.C.
Interesting models wrt to roles & careers in IS • Avison & Fitzgerald • Single scientific user, Depts, Organisations, Market Supply Chains • Markus & Benjamin • Technician / Facilitator / Champion IFIP WG8.2 OASIS Washington D.C.
Dimensions Pertinent to IS Developers • Role • Technical Platforms (both hard & soft) • Evolving theory of systems, objects, and society • Forms of employment NB Risks are inherent in situations of very high levels of environmental change in several dimensions IFIP WG8.2 OASIS Washington D.C.
Candidate Research Methods • Survey • Hermeneutics • CV • Curricula proffered by professional bodies • Case Study • Sense making models • Actor Network Analysis? • Grounded Analysis? IFIP WG8.2 OASIS Washington D.C.