Organizational Decision Support Systems

This paper presents a notion for developing Organizational Decision Support Systems (ODSS). The lens used is to see ODSS as a specialization of Social Decision Support Systems (SDSS) and a generalization of Group Decision Support Systems (GDSS). A unit decision process can be raised by any person in a organizational whole, the organization itself or some sub-organization. The decision process can use a given formalism coherent with the idea that as the contributions from people in the decision process expands, so does the space of available perceptions (P), the space of available actions (A), strategies (S), and options (O), the space of available criteria (C) of valuation of options (V), leading to decision. Atomic decision processes link in the global decision process of the organization. Potential benefits, shortcomings and needed technologies are indicated as well as prospects of development.Fundação para a Ciência e a Tecnologia (FCT

Towards the realisation of an integratated decision support environment for organisational decision making

Traditional decision support systems are based on the paradigm of a single decision maker working at a stand‐alone computer or terminal who has a specific decision to make with a specific goal in mind. Organizational decision support systems aim to support decision makers at all levels of an organization (from executive, middle management managers to operators), who have a variety of decisions to make, with different priorities, often in a distributed and dynamic environment. Such systems need to be designed and developed with extra functionality to meet the challenges such as collaborative working. This paper proposes an Integrated Decision Support Environment (IDSE) for organizational decision making. The IDSE distinguishes itself from traditional decision support systems in that it can flexibly configure and re‐configure its functions to support various decision applications. IDSE is an open software platform which allows its users to define their own decision processes and choose their own exiting decision tools to be integrated into the platform. The IDSE is designed and developed based on distributed client/server networking, with a multi‐tier integration framework for consistent information exchange and sharing, seamless process co‐ordination and synchronisation, and quick access to packaged and legacy systems. The prototype of the IDSE demonstrates good performance in agile response to fast changing decision situations

Requirements of knowledge sharing for group decision support system

Group decision support systems (GDSS) have evolved from applications designed primarily to support decision making for groups. Indeed, it is generally accepted that improvements of group support systems is a longstanding interest to organizational researchers, containing solid practical as well as scientific significance. Within this practice, there is increasing challenge to improve the exchange of knowledge among group members in order to enhance GDSS capability of knowledge sharing. Therefore, the paper investigates the current GDSS situation and analyzing the requirements of knowledge sharing (KS) to enhance GDSS. It is hoped that these findings will aid to provide GDSS systems with the solid capability of knowledge sharing

Decision support systems

Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities. A properly-designed DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. DSS belong to an environment with multidisciplinary foundations, including database reasearch, artificial intelligence, human computer interaction, simulation methods, software engineering and telecomunicationdecision support system, decision makers, computer-based

AN ARCHITECTURE FOR ORGANIZATION-WIDE DECISION SUPPORT SYSTEMS

An architecture was developed from a synthesis of concepts derived from the literature and field observations to identify and integrate the total decision support (DSS) function in organizations. Four distinct types of decision support systems were identified (corporate planning systems; functional decision support systems; executive information systems; and local decision support systems) and were integrated within a framework that incorporated organizational level, system formality, and decision making mode. The architecture is used as a cohesive framework for discussing research and management issues for organization-wide DSS

Enterprise Systems for Organizational Decision Support: A Research Agenda

In recent years, most major organizations have implemented enterprise systems from such vendors as SAP, Oracle, Peoplesoft, Baan, and J. D. Edwards. Historically, the emphasis of these systems has been on enhancing transaction-oriented business processes. Using the integrated, enterprise-wide knowledge store within enterprise systems for decision support is garnering an increased attention from enterprise system vendors and from third party software developers. Despite the recent interest in decision support from enterprise system practitioners, little research exists that connects enterprise systems to the field of decision support systems. This paper outlines the foundations of this connection along with an agenda to advance this line of research

Appropriate Information Technology In Emerging Economies: An Application For Strategic Decision-Making In Manufacturing Industries

Competing in global marketplace has pressured managers respond to shifting market trends by increasing product quality, business process reengineering, and decreasing time to market for new products.  Within emerging economies top executives have realized that adoption of appropriate information technologies such a decision support systems (DSS) and group decision support systems (GDSS) have led to changes in the existing organizational structure and communication mechanisms.  This paper explores the advantages and constraints of DSS and GDSS in formulating manufacturing strategies in emergent economies.  We argued that to fit appropriate information technology to organizational design top executive would benefit from strategic information systems planning process.  This process enables top executives to invest in appropriate information system that fits their structural arrangements and organizational culture.  Moreover, we explored the impact of DSS and GDSS on executive decision-making capabilities.  We also explored the methodology for implementation of appropriate information systems in manufacturing firms in emergent economies

Wiring optimization explanation in neuroscience: What is Special about it?

This paper examines the explanatory distinctness of wiring optimization models in neuroscience. Wiring optimization models aim to represent the organizational features of neural and brain systems as optimal (or near-optimal) solutions to wiring optimization problems. My claim is that that wiring optimization models provide design explanations. In particular, they support ideal interventions on the decision variables of the relevant design problem and assess the impact of such interventions on the viability of the target system

Intelligent Decision Making Using Evolutionary System for Optimizing Product-Mix Model

The development and deployment of managerial decision support system represents an emerging trend in the business and organizational field in which the increased application of Decision Support Systems (DSS) can be compiling by Intelligent Systems (IS). Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. Competitive business pressures and a desire to leverage existing information technology investments have led many firms to explore the benefits of evolutionary system data management solutions such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). This study proposes a new model for product mix problem based on evolutionary system for optimizing constraint values as well as objective function. The formulations of the objective function for the minimization problem. This technology is designed to help businesses to finding multi objective functions

ERP Systems and Managerial Decision Making - A Model for Analysis

Implementing Enterprise Resource Planning (ERP) systems, the most significant IT development in recent times, affects all aspects of organizational life. While the positive impact of ERP systems on operational efficiencies is well established in the literature, the relationship between ERP systems, decision support capability and decision-making processes has been inadequately investigated in the past. This paper hypothesizes a research model for further investigation. Using standardization and integration, the two key characteristics of ERP systems, the influence of ERP-enabled information environment is explained in terms of its impact on the accessibility/availability, quality and quantity of information. The extent of integration and standardization achieved while implementing the ERP system and organizational culture and size are moderating variables that are expected to moderate the influence of ERP-enabled environment on managerial decision making. Extending recent studies, this study postulates a positive influence of ERP-enabled information environment on decision support capability particularly at operational and tactical level. Though improvement in the quality of information, centralization and the consequent increase in visibility and accessibility have influenced the decision support capability of managers, factors such as information overload and inadequate reporting tools in the ERP software appear to be limiting the managerial decision making capability and quality of decision making