How to transfer real time and big data management control methods of the industry to the service?

Comment transférer au service les méthodes de contrôle de gestion temps réel et big data de l'industrie ?

Amaury Gayet (gayet.amaury@gmail.com)
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Amaury Gayet: CEROS - Centre d'Etudes et de Recherches sur les Organisations et la Stratégie - UPN - Université Paris Nanterre

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Abstract: Our two previous papers (Gayet and al., 2014 ; 2016) at Manufacturing Accounting Research (MAR) proposed a reflection for a real-time management control method in the industry. The proposal for this paper is to initiate a transfer to the service. The approach is to summarize our previous main contributions, to define the conceptual framework - which consists in describing the real-time Information Systems (IS) architecture and big data and a methodology to deploy a solution of Business Intelligence (BI) -, then, present the solution implemented in the industry to open a reflection on its transferability. The paper proposes an approach similar to that deployed in an editor, leader of manufacturing intelligence, for the service sector by an analogy with the main software of the market. This research raises multiple implications because the digital transformation of organizations is strategic. The practical implications are to help in the deployment of real-time and big data solutions and should not evade the social implications that implies a profound change in managerial practices. The originality of this paper is to build a bridge between the industrial world, characterized by the rigor of the procedures, and that of the services

Keywords: Management Control; Information System (IS); Real Time; Big Data; Decision Support System; Business Intelligence (BI); Contrôle de gestion; Système d'Information (SI); Temps Réel; Système Interactif d'Aide à la Décision (SIAD) (search for similar items in EconPapers)
Date: 2018-06-15
New Economics Papers: this item is included in nep-big
Note: View the original document on HAL open archive server: https://hal.science/hal-01820412
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Published in MSAR 2018 - MANUFACTURING & SERVICE ACCOUNTING RESEARCH CONFERENCE, Jun 2018, Oslo, Norvège

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