A conceptual development framework for temporal information systems

1997 ◽  
pp. 43-56 ◽  
Author(s):  
I. Petrounias
Keyword(s):  
Information Systems ◽  
Conceptual Development ◽  
Temporal Information ◽  
Development Framework

A Systemic Approach for the Formalization of the Information Systems Concept

2011 ◽  
pp. 1-29 ◽  
Author(s):  
Manuel Mora ◽  
Ovsei Gelman ◽  
Francisco Cervantes ◽  
Marcelo MejIa ◽  
Alfredo Weitzenfeld
Keyword(s):  
Information Systems ◽  
Conceptual Knowledge ◽  
Conceptual Development ◽  
Systems Approach ◽  
Formal Definition ◽  
Problematic Situation ◽  
Knowledge Resources ◽  
Concept System ◽  
The Core ◽  
Definition Of

In the new economic context, based on Information and Knowledge resources, the concepts of Information Systems and Information Technology (IS&IT) are fundamental to understand the organizational and managerial process in all levels: strategic, tactic and operational. From an academic and practitioner perspective, we pose that the correct use of the concept of IS&IT, and in specific of Information Systems, is critical. First ones need to study the same object and second ones need to use the same common conceptual knowledge about what are Information Systems. Nevertheless, uniquely informal and semiformal definitions of Information Systems have been reported in the literature and thus a formal definition based on core systemic foundations is missing. For these reasons, the conceptualization and formal definition of what are Information Systems acquires a relevant research and praxis status. This chapter addresses this problematic situation posing a formal definition of the term Information Systems based on core theoretical principles of the Systems Approach. For that, we firstly review the foundations of Systems Approach to establish the basis for our conceptual development. Then, an updated formal definition of the core concept System originally developed by Gelman and Garcia (1989) and that incorporates new insights from other systemic researchers is presented. With these theoretical bases, we proceed to review the contributions and limitations of main informal and semiformal definitions of the term Information Systems reported at the literature. Then the new formal definition of this term is developed using the updated formal definition of the term System. We continue with a discussion of how the definition posed formalizes systemic concepts of previous definitions, of how these are partial cases of the new definition and of how it can be used to model and study Information Systems in organizations. Finally, we conclude with main remarks and implications of this definition and with directions for further research.

Evolving Information Systems: Beyond Temporal Information Systems

1992 ◽  
pp. 282-287 ◽  
Author(s):  
E. D. Falkenberg ◽  
J. L. H. Oei ◽  
H. A. Proper
Keyword(s):  
Information Systems ◽  
Temporal Information

Spatial Temporal Information Systems

2013 ◽  
Author(s):  
Linda M. McNeil ◽  
T.S. Kelso
Keyword(s):  
Information Systems ◽  
Temporal Information

A conceptual development framework for intuitive human pattern recognition

2000 ◽  
Vol 23 (6) ◽  
pp. 767-779 ◽  
Author(s):  
Yung‐Sheng Chen ◽  
Jiunn‐Liang Lin ◽  
Wen‐Hsing Hsu
Keyword(s):  
Pattern Recognition ◽  
Conceptual Development ◽  
Development Framework

scholarly journals Grounded Design and GIScience - A framework for informing the design of geographical information systems and spatial data infrastructures

2019 ◽  
Author(s):  
Alexander Kmoch ◽  
Evelyn Uuemaa ◽  
Hermann Klug
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Information Science ◽  
Design Science ◽  
Environmental Data ◽  
Geographical Information ◽  
Data Infrastructure ◽  
Development Framework ◽  
Grounded Design

Geographical Information Science (GIScience), also Geographical Information Science and Systems, is a multi-faceted research discipline and comprises a wide variety of topics. Investigation into data management and interoperability of geographical data and environmental data sets for scientific analysis, visualisation and modelling is an important driver of the Information Science aspect of GIScience, that underpins comprehensive Geographical Information Systems (GIS) and Spatial Data Infrastructure (SDI) research and development. In this article we present the 'Grounded Design' method, a fusion of Design Science Research (DSR) and Grounded Theory (GT), and how they can act as guiding principles to link GIScience, Computer Science and Earth Sciences into a converging GI systems development framework. We explain how this bottom-up research framework can yield holistic and integrated perspectives when designing GIS and SDI systems and software. This would allow GIScience academics, GIS and SDI practitioners alike to reliably draw from interdisciplinary knowledge to consistently design and innovate GI systems.

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