A New FRamework to Study Decision in Organisation

The purpose of this communication is to display an original decision model - the Decisional Fit Model. Based on other models of fit, this model focuses on decision making when using a decision support system. In addition, we propose a discussion on the impact of misfit when coping strategies occur.Prise de décision, modèle d'adéquation, systèmes d'aide à la décision, stratégies d'ajustement.

A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas

<p>Abstract</p> <p>Background</p> <p>The creation of successful health policy and location of resources increasingly relies on evidence-based decision-making. The development of intuitive, accessible tools to analyse, display and disseminate spatial data potentially provides the basis for sound policy and resource allocation decisions. As health services are rationalized, the development of tools such graphical user interfaces (GUIs) is especially valuable at they assist decision makers in allocating resources such that the maximum number of people are served. GIS can used to develop GUIs that enable spatial decision making.</p> <p>Results</p> <p>We have created a Web-based GUI (wGUI) to assist health policy makers and administrators in the Canadian province of British Columbia make well-informed decisions about the location and allocation of time-sensitive service capacities in rural regions of the province. This tool integrates datasets for existing hospitals and services, regional populations and road networks to allow users to ascertain the percentage of population in any given service catchment who are served by a specific health service, or baskets of linked services. The wGUI allows policy makers to map trauma and obstetric services against rural populations within pre-specified travel distances, illustrating service capacity by region.</p> <p>Conclusion</p> <p>The wGUI can be used by health policy makers and administrators with little or no formal GIS training to visualize multiple health resource allocation scenarios. The GUI is poised to become a critical decision-making tool especially as evidence is increasingly required for distribution of health services.</p

Exploring the Influence of Decision Style on Decision Support System Acceptance by GPs

While clinical DSS have many proven benefits in the medical field, their uptake by GPs has been limited. This research explores the influence of decision styles as a possible explanatory variable for the usage of DSS. Insight into the reasons why GPs do not use clinical DSS will allow the development of strategies to facilitate more widespread adoption with consequent improvements across many areas. Depth interviews were conducted with 37 GPs comprising a mix of education backgrounds, experience and gender. In addition respondents completed a decisions styles questionnaire. Results indicated that users of DSS were more likely to have an integrative decision style while non users adopted a flexible decision style. Decision style was also strongly correlated to education with overseas trained doctors more likely to have integrative decision styles and Australian trained GPs exhibiting flexible styles

Early Warning Systems and Resilience: A Quest for Equilibrium

This communication aims to answer to the following research question: “How can Early Warning Systems support the production activity and make it resilient?” Based on an ethnographic case study, we display that even a simple tool can be helpful for a CEO. We assess that the resilience comes from a well-balanced combination of a qualitative human management and of an analytical system. This equilibrium depends on the fit between the task, the system and the user.Early Warning Systems, Task-Technology-Fit Model, Resilience as performance

The Role of Cognitive Effort in Decision Performance Using Data Representations :;a Cognitive Fit Perspective

A major goal of Decision Support (DSS) and Business Intelligence (BI) systems is to aid decision makers in their decision performance by reducing effort. One critical part of those systems is their data representation component of visually intensive applications such as dashboards and data visualization. The existing research led to a number of theoretical approaches that explain decision performance through data representation\u27s impact on users\u27 cognitive effort, with Cognitive Fit Theory (CFT) being the most influential theoretical lens. However, available CFT-based literature findings are inconclusive and there is a lack of research that actually attempts to measure cognitive effort, the mechanism underlying CFT and CFT-based literature. This research is the first one to directly measure cognitive effort in Cognitive Fit and Business Information Visualization context and the first one to evaluate both self-reported and physiological measures of cognitive effort. The research provides partial support for CFT by confirming that task characteristics and data representation do influence cognitive effort. This influence is pronounced for physiological measures of cognitive effort while it minimal for self-reported measure of cognitive effort. While cognitive effort was found to have an impact on decision time, this research suggests caution is assuming that task-representation fit is influencing decision accuracy. Furthermore, this level of impact varies between self-reported and physiological cognitive effort and is influenced by task complexity. Research provides extensive cognitive fit theory, business information visualization and cognitive effort literature review along with implications of the findings for both research and practic

The Role of Cognitive Effort in Decision Performance Using Data Representations :;a Cognitive Fit Perspective

A major goal of Decision Support (DSS) and Business Intelligence (BI) systems is to aid decision makers in their decision performance by reducing effort. One critical part of those systems is their data representation component of visually intensive applications such as dashboards and data visualization. The existing research led to a number of theoretical approaches that explain decision performance through data representation\u27s impact on users\u27 cognitive effort, with Cognitive Fit Theory (CFT) being the most influential theoretical lens. However, available CFT-based literature findings are inconclusive and there is a lack of research that actually attempts to measure cognitive effort, the mechanism underlying CFT and CFT-based literature. This research is the first one to directly measure cognitive effort in Cognitive Fit and Business Information Visualization context and the first one to evaluate both self-reported and physiological measures of cognitive effort. The research provides partial support for CFT by confirming that task characteristics and data representation do influence cognitive effort. This influence is pronounced for physiological measures of cognitive effort while it minimal for self-reported measure of cognitive effort. While cognitive effort was found to have an impact on decision time, this research suggests caution is assuming that task-representation fit is influencing decision accuracy. Furthermore, this level of impact varies between self-reported and physiological cognitive effort and is influenced by task complexity. Research provides extensive cognitive fit theory, business information visualization and cognitive effort literature review along with implications of the findings for both research and practic

An Assessment Framework to Determine the Strategic Value of IT Architectures in Smart Grids

Design Science Research (DSR) is a popular new research approach and paradigm, for which a number of research methodologies have been developed. One of the challenges facing researchers wanting to apply this new approach is the choice of research methodology. In this paper we give an account of six DSR methodologies and we compare them using a Design Science Research Methodology Comparison Framework that we adapted from an existing Information Systems Development Methodology Comparison Framework. Based on the outcomes of the comparison, we develop a set of technological rules that forms a contingency-based framework to support Design Science Researchers in choosing an appropriate and well-suited DSR methodology, depending on the contingencies of the situation at hand

A Tutorial on Geographic Information Systems: A Ten-year Update

This tutorial provides a foundation on geographic information systems (GIS) as they relate to and are part of the IS body of knowledge. The tutorial serves as a ten-year update on an earlier CAIS tutorial (Pick, 2004). During the decade, GIS has expanded with wider and deeper range of applications in government and industry, widespread consumer use, and an emerging importance in business schools and for IS. In this paper, we provide background information on the key ideas and concepts of GIS, spatial analysis, and latest trends and on the status and opportunities for incorporating GIS, spatial analysis, and locational decision making into IS research and in teaching in business and IS curricula

An Investigation of How and Why Managers Use Tablets to Support Decision Making

Managers are very mobile and a large proportion of their work is dealing with decisions. Although many managers use tablet computers in their work, there is little research on tablets’ role in managerial decision support. This study aims to investigate how managers use tablets to support their decision-making and the reasons behind it. Anchoring on Task-Technology Fit theory, interviews were conducted with 17 managers who use tablets for work-related decision-making. The study reveals managers’ tablet usage patterns in terms of location, tablet applications, decision activities and types. This study has also found that a range of tablet characteristics and decision-task characteristics affect managers’ use of tablets to support decision-making at work. This exploratory study contributes to both academia and industry by providing evidence on the tablet decision support area, and affording organisations, tablet vendors and tablet application developers informative findings for further improvement in the provision of tablet-based decision support

Assessing the users’ need for a spatial decision support system of smallholder farming in Kenya

Accurate data of the natural conditions and agricultural systems with a good spatial resolution are a key factor to tackle food insecurity in developing countries. A broad variety of approaches exists to achieve precise data and information about agriculture. One system, especially developed for smallholder agriculture in East Africa, is the Farm Management Handbook of Kenya. It was first published in 1982/83 and fully revised in 2012, now containing 7 volumes. The handbooks contain detailed information on climate, soils, suitable crops and soil care based on scientific research results of the last 30 years. The density of facts leads to time consuming extraction of all necessary information. In this study we analyse the user needs and necessary components of a system for decision support for smallholder farming in Kenya based on a geographical information system (GIS). Required data sources were identified, as well as essential functions of the system. We analysed the results of our survey conducted in 2012 and early 2013 among agricultural officers. The monitoring of user needs and the problem of non-adaptability of an agricultural information system on the level of extension officers in Kenya are the central objectives. The outcomes of the survey suggest the establishment of a decision support tool based on already available open source GIS components. The system should include functionalities to show general information for a specific location and should provide precise recommendations about suitable crops and management options to support agricultural guidance on farm level