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Original Articles

Relational Model-base Structures Underpinnings for Decision-driven (vs Databasedependent) Management Support Systems

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Pages 101-132 | Published online: 18 Apr 2012
 

Abstract

As things now stand, administrative systems are likely to see their design options as being restricted to one or another of the products now being produced and promoted under the Enterprise Resource Planning banner. This dominance is troublesome because ERP packages are not a universally appropriate technical choice. Rather, because of their dependency on relational database conventions, ERP-based management systems are not well fit, in either form or function, to answer for anything much beyond the relatively pedestrian problems that punctuate ordinary business firms. They cannot be expected to efficiently or fully accommodate the more demanding analytical and operational challenges confronting the extraordinarily large and complex enterprises that are increasingly characteristic of the contemporary commercial sector. Hence the primary purposes of these pages: To introduce relational model-base structures as an alternative to conventional relational database structures, and thereafter go on to show why/how it is that management systems resting on relational model-base structures should be able to provide administrative authorities with a higher order of technical support than relational database-dependent ERP constructs.

Dans l’état actuel des choses, les concepteurs des systèmes administratifs doivent souvent se cantonner à l’achat d'applications vendues sur le marché sous l’appellation générale de progiciel de gestion integrée (PGI). Cette restriction est une source de problèmes dans la mesure où les PGI ne sont pas toujours applicables dans toutes les situations. En particulier, la dépendance de ces systèmes vis-à-vis des bases de données relationnelles les rend inaptes à s’attaquer aux problèmes complexes rencontrés dans les entreprises modernes. Dans les situations qui présentent des challenges de nature soit opérationnelle, soit analytique, les PGI sont incapables de présenter des solutions efficaces et complètes. Le but de cet article est donc de tenter de développer des structures et des modèles différents pour les bases de données relationnelles et, partant de là, de montrer comment des systèmes administratifs utilisant ces modèles alternatifs peuvent offrir un soutien technique mieux adapté aux besoins des fonctions administratives.

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