Management Intelligence Systems are a class- of Decision
Support Systems aimed at providing intelligence about an
ill-structured decision to a decision-maker. The research
objective was to build a 'Consultant Advisory System', a
computerised model of success, to assist internal
consultants in, assessing the likelihood of success for a
Management Intelligence System (MINTS). The system would
also be capable of allowing the consultant to identify
reasons which might lead to a low likelihood of success, so
that corrective action can be taken. The approach taken is
different from many other studies which have concentrated on
the success of a computer-based information system after
implementation, rather than assessing success throughout the
whole process of initiating, developing and implementing
The research has been based on a detailed survey of the
literature on Management Information systems (MIS), and
Decision Support Systems (DSS) and 39 field investigations
involving detailed interviews with the key actors involved
in a MINTS project.
Two phases of MINTS development were identified: (A)
ensuring a right environment and (B) maintaining
relationships. About 280 factors were distilled as
significant for the successful development of a MINTS and
these have been incorporated in a computerised advisor.
Validation of MINTS in general and the advisor in particular
is discussed in detail.
A Doctoral Thesis. Submitted in partial fulfillment of the requirements for the award of Doctor of Philosophy of Loughborough University.