The Importance of Logistics Dimension in Information Management

2018 ◽  
pp. 583-601
Author(s):  
Pedro Fernandes Anunciação ◽  
Marina Rosa ◽  
Monique de Costa ◽  
Vanessa Oliveira
Keyword(s):  
Information Systems ◽  
Information Management ◽  
Quality Information ◽  
Success Factor ◽  
Economic Activities ◽  
Production Chain ◽  
Economic Agents ◽  
Critical Success ◽  
Economic Organizations ◽  
Management Processes

The evolution of management processes and the speed of the markets have highlighted the increasingly evident need for sharing of information and knowledge between the different economic agents. The competitiveness of economic organizations in a relational economic environment requires quality information. This feature is a critical success factor in the performance of economic activities. Organizations should seek to understand the internal and external dynamics inherent to the realization of their economic activities, identifying the various partners involved, and integrating their information systems, among others. The Volkswagen Autoeuropa is a reference to the management and economic organizations in which is evident the importance of information in the development of its activities with its partners and its centrality in the operation of the entire production chain. The objective of this study is to highlight the importance of logistics vision on the architecture of information systems, with reference to the case of Volkswagen Autoeuropa.

scholarly journals Data Cleaning in Knowledge Discovery Database-Data Mining (KDD-DM)

2019 ◽  
Vol 8 (6S3) ◽  
pp. 2196-2199
Keyword(s):  
Data Mining ◽  
Information Systems ◽  
Data Quality ◽  
Knowledge Discovery ◽  
Information Management ◽  
Data Cleaning ◽  
Main Issue ◽  
Quality Information ◽  
Data Preparation ◽  
Paper Review

Data quality is a main issue in quality information management. Data quality problems occur anywhere in information systems. These problems are solved by Data Cleaning (DC). DC is a process used to determine inaccurate, incomplete or unreasonable data and then improve the quality through correcting of detected errors and omissions. Various process of DC have been discussed in the previous studies, but there is no standard or formalized the DC process. The Domain Driven Data Mining (DDDM) is one of the KDD methodology often used for this purpose. This paper review and emphasize the important of DC in data preparation. The future works was also being highlight.

Industry-University Collaborations in Research for Information Systems

2011 ◽  
pp. 279-298
Author(s):  
Tom O’Kane
Keyword(s):  
Information Systems ◽  
Academic Research ◽  
Academic Community ◽  
Success Factor ◽  
Research Project ◽  
Publish Or Perish ◽  
Software Companies ◽  
Critical Success ◽  
Research Collaborations ◽  
Software Production

Research collaborations between industry and the academic community are now commonplace and continuing to flourish. While both entities are involved in problem solving, their motivations and objectives appear to be quite different; industrial research being primarily driven by business needs to improve cost, quality, and so forth, academic research ostensibly driven by the desire to push the boundaries of knowledge but in reality driven by the need to “publish or perish.” Recognizing the differences, and indeed the complementary aspects of these respective motivations and objectives, has been repeatedly cited in the literature as a critical success factor for such collaborations. While much has been written especially from the academic perspective on various aspects of research collaborations, there is relatively little from the industrial perspective, especially with regard to a management model, that could be used to guide such research project collaborations. This chapter is written from an industry perspective and it explores such a model specifically for managing information systems (IS) research projects. Nowadays, and increasingly so, the business of software production will follow a defined software process to provide good management of projects and to guide both the management and engineering aspects of development. This chapter suggests an extension of these principles to produce a process management framework that software companies can use for research project collaborations with universities.

scholarly journals Management of information in development projects – a proposed integrated model

2008 ◽  
Vol 10 (1) ◽  
Author(s):  
C. Bester ◽  
J.J. Britz ◽  
A. Merkestein
Keyword(s):  
Information Management ◽  
Development Project ◽  
Project Teams ◽  
Management Model ◽  
Success Factor ◽  
Development Projects ◽  
Critical Success Factor ◽  
Critical Success ◽  
Body Of Knowledge ◽  
Integrated Information

The first section of the article focuses on the need for development in Africa and the specific challenges of development operations. It describes the need for a holistic and integrated information management model as part of the project management body of knowledge aimed at managing the information flow between communities and development project teams. It is argued that information, and access to information, is crucial in development projects and can therefore be seen as a critical success factor in any development project. In the second section of the article, the three information areas of the holistic and integrated information management model are described. In the section thereafter we suggest roles and actions for information managers to facilitate information processes integral to the model. These processes seek to create a developing information community that aligns itself with the development project, and supports and sustains it.

Virtual Enterprise Integration

2011 ◽  
pp. 1-31 ◽  
Author(s):  
Goran D. Putnik ◽  
Maria M. Cunha ◽  
Rui Sousa ◽  
Paulo Avila
Keyword(s):  
Information Systems ◽  
Research And Development ◽  
Virtual Enterprise ◽  
Success Factor ◽  
Critical Success Factor ◽  
Enterprise Integration ◽  
Engineering Development ◽  
Critical Success ◽  
Management Concept

Virtual enterprise integration (VEI) is virtually the most critical success factor for making virtual enterprise (VE) a real, competitive, and widely implemented organizational and management concept. However, according to many authors, the present solutions for VEI are either insufficient or inexistent. One of the reasons for the situation is the failure of the approach of “traditional” information systems and organizations to dealing with the nowadays turbulent market and organizations’ requirements, where actual VEI solutions are mainly sought. This chapter presents a discussion on the VEI issue as a contribution to a better understanding of the VEI phenomenon, and it could be seen as a contribution to an eventual framework for VEI science, engineering, development, and implementation. Also, two metatheoretical structures for VEI research and development are proposed: VEI abstractions hierarchy and VEI semiotics.

Managing Corporate Information Systems Evolution and Maintenance

2011 ◽  
pp. 1-23
Author(s):  
Ned Chapin
Keyword(s):  
Information Systems ◽  
Key Management ◽  
Success Factor ◽  
Basic Fact ◽  
Critical Success ◽  
The People ◽  
The Many ◽  
Corporate Information Systems ◽  
Corporate Information

Five key management considerations center on a basic fact—managers manage people in getting things done. As they manage the people in getting information systems evolution and maintenance done, the managers address many concerns arising from the interests of the corporation and the stakeholders involved in the information systems. One of the two major groups of stakeholders is the people who use and work with the information systems, that is, the systems’ customers. The suppliers are the other group and consist of the corporation’s information systems personnel and the supporting vendors. Fifteen of the many concerns arising from the interests of the stakeholders are introduced in this chapter to provide context for the subsequent chapters in this book. This chapter concludes by noting the critical success factor role of leadership in the management of information systems evolution and maintenance.

Framework for Managing Shared Knowledge in an Information Systems Outsourcing Context

2017 ◽  
Vol 13 (4) ◽  
pp. 1-30 ◽  
Author(s):  
Hanlie Smuts ◽  
Paula Kotzé ◽  
Alta Van der Merwe ◽  
Marianne Loock
Keyword(s):  
Information Systems ◽  
Success Factors ◽  
Assessment Tool ◽  
Knowledge Exchange ◽  
Knowledge Flows ◽  
Shared Knowledge ◽  
Success Factor ◽  
Critical Success ◽  
Knowledge Requirements ◽  
Is Outsourcing

Both information systems (IS) outsourcing and knowledge management are well-established business phenomena. The integration of shared knowledge in an IS outsourcing arrangement, represents the blending of organisational knowledge with external knowledge sources. In an attempt to provide tactical mechanisms for creating and managing shared knowledge in organisations embarking on IS outsourcing arrangements, this article focuses on the design and application of a knowledge framework for IS outsourcing, with the purpose of guiding organisations in their knowledge exchange planning through concrete mechanisms, practical steps and validation. Key considerations for IS outsourcing is mapped to critical success factors, each associated with a set of knowledge requirements and knowledge flows to support the successful achievement of a specific critical success factor. An associated assessment tool was designed to identify knowledge exchange mechanisms and potential issues and gaps in current or future IS outsource arrangements.

Sign in / Sign up

Export Citation Format

Share Document