Effect of a participatory approach on the successful development of agricultural decision support systems: The case of Pigs2win

2012 ◽  
Vol 54 (1) ◽  
pp. 164-172 ◽  
Author(s):  
Jef Van Meensel ◽  
Ludwig Lauwers ◽  
Ine Kempen ◽  
Joost Dessein ◽  
Guido Van Huylenbroeck
2014 ◽  
Vol 6 (1) ◽  
pp. 60-80 ◽  
Author(s):  
Pietro Baroni ◽  
Daniela Fogli ◽  
Massimiliano Giacomin ◽  
Giovanni Guida ◽  
Loredana Parasiliti Provenza ◽  
...  

This article presents a participatory design approach to Decision Support Systems, which is specifically built to face the socio-technical gap that often impedes DSS acceptability by end-users in real work environments. The approach has been experimented in two case studies in the field of health-related emergencies, namely earthquake and pandemic flu. The application of the approach and the results obtained are described with specific focus on the phases of requirement analysis and system evaluation.


Buildings ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 170 ◽  
Author(s):  
Carmen Marcher ◽  
Andrea Giusti ◽  
Dominik T. Matt

Decision making is a relevant task in the building construction sector, and various systems and methods for decision support are emerging. By means of a systematic literature review, this article identifies the methods for decision making in building construction and the lifecycle phases for which decision support systems are proposed. The selected articles are analyzed and grouped according to the adopted decision-making methods and the defined lifecycle phases. The findings show that multiple criteria decision analysis is the most used method for decision support in building construction and that the construction phase is the most addressed phase within the relevant existing works. The findings related to the construction phase are further refined by grouping the articles into application areas and by reviewing in detail the proposed methods therein. The scarce availability of data and project cases is identified as the most common barrier for the successful development and implementation of decision support systems in the building construction sector. This work provides a basis for scientists and practitioners for identifying suitable methods for decision-making support in a specific lifecycle phase of a building.


1996 ◽  
Vol 35 (01) ◽  
pp. 1-4 ◽  
Author(s):  
F. T. de Dombal

AbstractThis paper deals with a major difficulty and potential limiting factor in present-day decision support - that of assigning precise value to an item (or group of items) of clinical information. Historical determinist descriptive thinking has been challenged by current concepts of uncertainty and probability, but neither view is adequate. Four equations are proposed outlining factors which affect the value of clinical information, which explain some previously puzzling observations concerning decision support. It is suggested that without accommodation of these concepts, computer-aided decision support cannot progress further, but if they can be accommodated in future programs, the implications may be profound.


1993 ◽  
Vol 32 (01) ◽  
pp. 12-13 ◽  
Author(s):  
M. A. Musen

Abstract:Response to Heathfield HA, Wyatt J. Philosophies for the design and development of clinical decision-support systems. Meth Inform Med 1993; 32: 1-8.


2006 ◽  
Vol 45 (05) ◽  
pp. 523-527 ◽  
Author(s):  
A. Abu-Hanna ◽  
B. Nannings

Summary Objectives: Decision Support Telemedicine Systems (DSTS) are at the intersection of two disciplines: telemedicine and clinical decision support systems (CDSS). The objective of this paper is to provide a set of characterizing properties for DSTSs. This characterizing property set (CPS) can be used for typing, classifying and clustering DSTSs. Methods: We performed a systematic keyword-based literature search to identify candidate-characterizing properties. We selected a subset of candidates and refined them by assessing their potential in order to obtain the CPS. Results: The CPS consists of 14 properties, which can be used for the uniform description and typing of applications of DSTSs. The properties are grouped in three categories that we refer to as the problem dimension, process dimension, and system dimension. We provide CPS instantiations for three prototypical applications. Conclusions: The CPS includes important properties for typing DSTSs, focusing on aspects of communication for the telemedicine part and on aspects of decisionmaking for the CDSS part. The CPS provides users with tools for uniformly describing DSTSs.


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