Articles scientifiques

A Marketing Maturity Model for IT: Building a Customer-Centric IT Organization

R. HIRSCHHEIM, A. SCHWARZ, P. A. TODD

IBM Systems Journal

avril 2006, vol. 45, n°1, pp.181-199

Départements : Informations Systems and Operations Management

http://domino.research.ibm.com/tchjr/journalindex.nsf/9fe6a820aae67ad785256547004d8af0/d5511d41b843f4aa85257100007c6a0f!OpenDocument


Despite a variety of management tools, valuable management prescriptions, and the desire of information technology (IT) managers and business managers alike to build a better relationship, the current state of the IT-business relationship is far from ideal. Although many believe the difficulty in managing this relationship is rooted in differences in knowledge, culture, motivation, and language, we argue in this paper that the key to managing relationships is in the frame of reference and that a marketing perspective can prove valuable. We outline how concepts from marketing (e.g., price, product, customer, place, and promotion) are useful within an IT context and propose a marketing maturity model for IT executives to assess how to enhance their relationship with their business counterparts

Conception d'un système d'aide multicritère pour l'aide à la décision médicale

O. Belmokhtar, Y. Kerboua Ziari, L. KERBACHE, E. Baraka

Santé et systémique

2006, vol. 9, n°1-2, pp.147-155

Départements : Informations Systems and Operations Management, GREGHEC (CNRS)


La décision médicale en cancérologie est sous incertitude du fait de la multiplicitédes traitements d'une part, et l'absence de résultats efficaces d'autre part. Le médecin estalors confronté au choix du traitement le mieux adapté à l'état du patient et de cefait, l'aideà la décision devient indispensable pour améliorer les soins. L'objectif de cet article est laprésentation d'un système d'aide à la décision médicale dans le cas du cancer du cavum(SAMD-ADM) .. celui-ci a été développé pour l'unité « tête et cou» du service d'oncologiemédicale du Centre Pierre et Marie Curie d'AlgerMOTS-CLÉS:aide à la décision médicale, oncologie médicale, systèmes d'informationhospitalier, cancer du cavum, programmation mathématique.

IT Training as a Strategy for Business Productivity

S. C. SRIVASTAVA, T. S. H. TEO

International Journal of Information & Communication Technology Education

2006, vol. 2, n°4, pp.39-51

Départements : Informations Systems and Operations Management, GREGHEC (CNRS)


Most existing studies on technology training address the operational issues of training process (e.g., training needs assessment, learning, delivery methods, etc.). The strategic concerns of IT training for enhancing business productivity largely are not addressed by the current literature. In this article, we explore the strategic concerns of IT training in hierarchical organizations, which are typically prevalent in developing countries. We synthesize various ideas in the literature on change management, training needs analysis, and IT adoption in order to evolve a strategic IT training framework for hierarchical organizations. The proposed framework recognizes the differences in IT training requirements for different levels of employees and suggests a differentiated training content for different segments of employees. The training framework provides an actionable and comprehensive tool that can be used for systematically planning IT training for enhancing productivity of organizations

Medical Decision Support System (DSS) for Encology

O. Belmokhtar, A. Benzaoui, Y. Ziari, L. KERBACHE

Service Systems & Service Management

2006

Départements : Informations Systems and Operations Management, GREGHEC (CNRS)


Optimal Workforce Size and Allocation for Urban Retail Chains

R. Huang, S. Kim, M. MENEZES

European Journal of Operational Research

décembre 2006, vol. 175, n°2, pp.1151-1163

Départements : Informations Systems and Operations Management


Area supervisors managing an area chain of local urban retail stores face the problem of determining the number of employees and allocating them to retail stores (workforce size and its allocation). We propose a model to maximize the overall expected profit rate of a coordinated area chain where the rate of employee absenteeism is uncertain. Retail stores operate as a Markovian loss queueing system. An efficient algorithm is proposed to optimize both workforce size and its allocation. We also provide insights for retail chain managers by comparing the optimal overall expected profit rates and the optimal workforce sizes of a coordinated area chain with its uncoordinated counterpartKeywords: Retailing; Queueing; Workforce; Service Management

Contacts  


Informations Systems and Operations Management


Campus HEC Paris
1, rue de la Libération
78351 Jouy-en-Josas cedex
France

Faculté  

Shirish C. SRIVASTAVA

Informations Systems and Operations Management (GREGHEC)

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