The likelihood of success in management intelligence systems: building a consultant advisory system

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...

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Main Author:	Morteza Seyed Forghani
Format:	Default Thesis
Published:	1989
Subjects:	Other commerce, management, tourism and services not elsewhere classified Decision support Management Consultancy Management intelligent systems Business and Management not elsewhere classified
Online Access:	https://hdl.handle.net/2134/6845
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id	rr-article-9496247
record_format	Figshare
spelling	rr-article-94962471989-01-01T00:00:00Z The likelihood of success in management intelligence systems: building a consultant advisory system Morteza Seyed Forghani (7196843) Other commerce, management, tourism and services not elsewhere classified Decision support Management Consultancy Management intelligent systems Business and Management not elsewhere classified 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 such systems. 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. 1989-01-01T00:00:00Z Text Thesis 2134/6845 https://figshare.com/articles/thesis/The_likelihood_of_success_in_management_intelligence_systems_building_a_consultant_advisory_system/9496247 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Other commerce, management, tourism and services not elsewhere classified Decision support Management Consultancy Management intelligent systems Business and Management not elsewhere classified
spellingShingle	Other commerce, management, tourism and services not elsewhere classified Decision support Management Consultancy Management intelligent systems Business and Management not elsewhere classified Morteza Seyed Forghani The likelihood of success in management intelligence systems: building a consultant advisory system
description	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 such systems. 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.
format	Default Thesis
author	Morteza Seyed Forghani
author_facet	Morteza Seyed Forghani
author_sort	Morteza Seyed Forghani (7196843)
title	The likelihood of success in management intelligence systems: building a consultant advisory system
title_short	The likelihood of success in management intelligence systems: building a consultant advisory system
title_full	The likelihood of success in management intelligence systems: building a consultant advisory system
title_fullStr	The likelihood of success in management intelligence systems: building a consultant advisory system
title_full_unstemmed	The likelihood of success in management intelligence systems: building a consultant advisory system
title_sort	likelihood of success in management intelligence systems: building a consultant advisory system
publishDate	1989
url	https://hdl.handle.net/2134/6845
_version_	1797741012345421824

The likelihood of success in management intelligence systems: building a consultant advisory system

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