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Confronted with flerce competition, an increasing number of telecommunication companies in China realize that they can increase proflts by reducing the rate of customer churn rather than attracting the same number of new customers. Recently, the availability of big data has increased, which has stimulated the development of data mining techniques. Identifying methods by which to maximize proflts is...
Knowledge management in business information systems often requires a unified dictionary of business concepts, that allows for a transparent integration of such systems. Thanks to it sharing the conceptualization between users becomes possible, and better decision support facilities can be provided. The Prosecco project is a research and development project aims to address the needs and constraints...
The problem of limited resource extraction by two firms often occurs in practice. Both firms try to maximize their income. This issue has been thoroughly investigated in [2]. The difficulty lies in the fact that the model uses a system of differential equations, which do not have analytic solution. In this paper, an attempt was made to improve the model in order to the obtained systems with analytic...
In today's increasingly risky and uncertain business and industrial environments, supply chains need to be more flexible and more robust to improve their performance. During the last decade supply chain risk management has emerged as a challenge on the strategic and operational supply chain issues. A deeply analysis of a case study has revealed that modern retail industry needs decision support tools...
Various drivers push companies to implement Green Supply Chain Management (GSCM) practices. However, implementing GSCM practices is always subject to a number of interacting factors (attributes, characteristics and practices) that characterize the companys organization and its relationships with other supply chain partners. This study contributes to understanding how such factors taken together interact...
The work presented in this article constitutes a contribution to modeling, evaluation and analysis the performance of inventory management systems, and more generally stochastic discrete event systems with a batch behavior, by using the Batch Deterministic and Stochastic Petri Nets. To do this, we applied this tool on a typical model of inventory management systems in order to show how this tool can...
The supplier selection problem is one of the strategic decisions that have a significant impact on the performance of the supply chain. In this study, supplier selection problem of a well-known refining company in Africa is investigated and an integrated ANP-PROMETHEE methodology is used to select the best supplier providing the most customer satisfaction for the criteria determined. After the main...
Increasing supply chain players seek to run business in a responsible way. This work stands from a supplier's point of view by considering a two-stage supply chain structure in which a responsible supplier produces a responsible component (or raw material, ingredient) through an entrepreneurial process and exploits the business opportunity (e.g., market expansion) to sell it to downstream buyers....
For the project of an Agile/Virtual Enterprise (A/V E) the resources selection is a key factor. The resources systems (output of the selection process) should be prepared to guarantee quality, efficiency and cost-attractiveness, in order to ensure the agility and integrability of the A/V E. This is a difficult matter because it can be a combinatorial and multi-criteria problem. Despite the potential...
Implementation of the sustainable policy guidelines at a company level is not an easy task. The decisions about resource allocation, changes in process organization or new investments should be considered taking into account their economic, environmental and social effects. Remanufacturing processes contributes to the fulfilment of the circular economy paradigm. The existing body of literature highlights...
This paper deals with the design of models that form the basis for Decision Support System (DSS) supporting suitable solutions of data analysis. DSS will be in the form of web application in order to bring the most practical solution. The design of these algorithms is only one of the five stages of the research in field of data analysis. That means, the other stages will be described in this article...
With the continuous and rapid development of online questionnaire survey, the low response rate has plagued operating companies. To solve this problem, this paper proposed an effective user invitation model by our improved clustering algorithm, which analyzed large-scale historical user behavior characteristic data, including users' quality data, users' preferential data and users' similarity data...
Stock market prediction is influenced by manyinternal and external factors. One of these factors are the newsarticles and financial reports related to each listed company. This paper describes a system that is able to extract relevantinformation from this type of textual documents, correlate themwith the stock price movement and determine whether ornot a new released news can and in which proportion...
This paper suggests a model to measure e-visibility — the e-Visibility Maturity Model (e-VM model) that is used to assess the visibility of a company or set of companies in the global e-business market. The visibility is measured using company's involvement in electronic interactions with customers that is externalized by the integration of the Social Software (SoS) in its other means of online presence...
In the strategic management field, the ecosystem concept is increasing significance. This paper provides an overview of 90 previous studies on the ecosystem concept published in leading academic journals in strategic management field and clarifies the four major research streams. The first perspective is the industrial ecosystem perspective, which is based on the concept of industrial ecology. The...
Currently academic researches' focus started changing towards protecting IP rights and to transferring them into industrial actors. Accordingly, it is argued that academic's basic research focus started shifting towards applied research as it is essential for the radical inventions to be introduced in a competitive market. This research seeks to understand industry-academia linkages in a high tech...
The automotive industry faces three major challenges - shortage of fossil fuels, politics of global warming and rising competition from new markets. In order to remain competitive companies have to develop more efficient and alternative fuel vehicles that meet the individual requirements of the customers. Functional integration combined with new technologies and materials are the key to stable success...
Innovation has becomes a key driver for an organization to promote sustainable organizational competitiveness in a business competition. The purpose of this paper is to propose the approach to help the management of an organization to identify the areas needed for improvement based on the difference between the current status and organizational targets. The strategic gaps are used to facilitate the...
While business analytics is being increasingly used to gain data-driven insights to support decision making, little research exists regarding the mechanism through which business analytics can be used to improve decision-making effectiveness (DME) at the organizational level. Drawing on the information processing view and contingency theory, this paper develops a research model linking business analytics...
This paper proposes an approach in Goal-Oriented Requirements refinement and analysis that adapt Case-Based Reasoning techniques. This approach is expected to help emphasizing the reuse of the high quality requirements that have been applied on previous system development process. The Attributed Goal-Oriented Requirements Analysis (AGORA) is simplified to analyze requirements proposed by Goal Tree...
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