181,109 research outputs found
An integrated 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. Organisational decision support systems aim to support decision makers at all levels of an organisation (from executive, middle management managers to operators), who have a variety of decisions to make, with different priorities, often in a distributed environment. Such systems are designed and developed with extra functionality to meet the challenge. This paper proposes an Integrated Decision Support Environment (IDSE) for organisational decision making. The IDSE is designed and developed based on distributed client/server networking, with a combination of tight and loose integration approaches for information exchange and communication. The prototype of the IDSE demonstrates a good balance between flexibility and reliability
An architecture for organisational decision support
The Decision Support (DS) topic of the Network Enabled Capability for Through Life Systems Engineering (NECTISE) project aims to provide organisational through-life decision support for the products and services that BAE Systems deliver. The topic consists of five streams that cover resource capability management, decision management, collaboration, change prediction and integration. A proposed architecture is presented for an Integrated Decision Support Environment (IDSE) that combines the streams to provide a structured approach to addressing a number of issues that have been identified by BAE Systems business units as being relevant to DS: uncertainty and risk, shared situational awareness, types of decision making, decision tempo, triggering of decisions, and support for autonomous decision making. The proposed architecture will identify how either individuals or groups of decision makers (including autonomous agents) would be utilised on the basis of their capability within the requirements of the scenario to collaboratively solve the decision problem. Features of the scenario such as time criticality, required experience level, the need for justification, and conflict management, will be addressed within the architecture to ensure that the most appropriate decision management support (system/naturalistic/hybrid) is provided. In addition to being reliant on a number of human factors issues, the decision making process is also reliant on a number of information issues: overload, consistency, completeness, uncertainty and evolution, which will be discussed within the context of the architecture
Decision Support Tools for Urban Water and Wastewater Systems –Focussing on Hazardous Flows Assessment
Abstract The Swedish research programme Urban Water has developed a concept of a multi-criteria basis intended to support decision-making for urban water and wastewater systems. Five criteria groups were established for sustainability assessment of urban water systems: Health and Hygiene, Environment, Economy, Socio-culture, and Technology. Each criterion requires a set of indicators corresponding to quantifiable facts and figures, or qualitative data to comparatively assess the different alternatives in the decision process. The decision support process starts as a baseline study where the existing conditions are addressed. Alternative strategies of the future urban water system are developed and analysed by different tools and methodologies in assessing the five criteria groups. Eventually, the results and conclusions are integrated and synthesised into a basis for decision-making. As an example of a decision support basis for chemical safety, a barrier perspective was introduced to find out if and to what extent hazardous substances can be stopped, diverged, or transformed at various points in the wastewater system. A set of barriers was suggested, i.e. behaviour, systems design, process design, optional recipients, and organisational. The barrier approach was applied to two alternative municipal wastewater system designs -a combined wastewater system vs. a source separated system -analysing the fate of phosphorus, cadmium, and triclosan. The study showed that the combined system caused a higher substance flow to the receiving waterbody than the separated system. The combined system also brought more phosphorus and cadmium to the farmland than the separated system, but only half the amount of triclosan
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A conceptual model for EAI adoption in an e-government environment
The non-integrated nature of Local Government Authority (LGA) Information Systems (IS) is
strongly associated with the inconsistency and duplication of data, reduction in data integrity and
quality, and high operational and maintenance cost. The reason is that legacy IS within the LGAs
are usually tailored to support particular business processes and functions and are as a
consequence usually difficult to integrate. This gives rise to a strong need for an integrated
architecture that facilitates reuse of existing applications and flexibly implementing business
processes across the functional boundaries within the LGAs. This paper examines a potentially
important area of IS integration in the United Kingdom (UK) LGAs through Enterprise
Application Integration (EAI) technology. A review of the literature indicates that EAI has been a
focal technology for several organisations in solving their integration problems. However, is new
in the LGAs; thus research literature around it is limited. Yet the effect of IS integration using
EAI technology remains under explored, as little research has been conducted to comprehend the
LGAs perception of integration that influences their decisions and actions. The author
demonstrates that it is of high importance to investigate this area within LGAs and result in
research that contributes towards successful EAI adoption. Therefore, resulting in the
development of a conceptual model that may be used to assist the government decision-making
process for EAI adoption in an electronic Government (e-Government) environment
Electronic information sharing in local government authorities: Factors influencing the decision-making process
This is the post-print version of the final paper published in International Journal of Information Management. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2013 Elsevier B.V.Local Government Authorities (LGAs) are mainly characterised as information-intensive organisations. To satisfy their information requirements, effective information sharing within and among LGAs is necessary. Nevertheless, the dilemma of Inter-Organisational Information Sharing (IOIS) has been regarded as an inevitable issue for the public sector. Despite a decade of active research and practice, the field lacks a comprehensive framework to examine the factors influencing Electronic Information Sharing (EIS) among LGAs. The research presented in this paper contributes towards resolving this problem by developing a conceptual framework of factors influencing EIS in Government-to-Government (G2G) collaboration. By presenting this model, we attempt to clarify that EIS in LGAs is affected by a combination of environmental, organisational, business process, and technological factors and that it should not be scrutinised merely from a technical perspective. To validate the conceptual rationale, multiple case study based research strategy was selected. From an analysis of the empirical data from two case organisations, this paper exemplifies the importance (i.e. prioritisation) of these factors in influencing EIS by utilising the Analytical Hierarchy Process (AHP) technique. The intent herein is to offer LGA decision-makers with a systematic decision-making process in realising the importance (i.e. from most important to least important) of EIS influential factors. This systematic process will also assist LGA decision-makers in better interpreting EIS and its underlying problems. The research reported herein should be of interest to both academics and practitioners who are involved in IOIS, in general, and collaborative e-Government, in particular
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Extending IT infrastructures in the service sector organisations through enterprise resource planning – a telecom case study
Copyright @ 2012 ISEing.Service Sector Organisations (SSOs) have significantly focused on adopting and implementing Enterprise Resource Planning (ERP) systems to automate their prime business processes, enhance organisational productivity with lower costs and prompt service delivery to fulfil consumer demands. Thus, ERP systems are considered as a principal source to provide imperative information vital for strategic decision making process. On the contrary, ERP systems adoption and implementation is also highly considered as a challenging and expensive process that not only requires rigorous efforts but also demands to have an exhaustive investigation of influential factors that are critical to the adoption and implementation of ERP systems. As a result, the authors exhibit that it is of great significance to investigate this area within SSOs. In so doing, this paper thus focuses on the ERP critical success factors from five different categories such as: stakeholders; process; technology; organisation; and project based on the literature analysis. These perspectives comprise of 24 factors that are imperative for a successful ERP adoption and implementation. These factors are validated through an in-depth qualitative single case study based research. The findings from the literature and empirical demonstrate that most of the factors influencing the decision making process for ERP adoption and implementation are highly significant with exception to few that have either low or medium importance
Applying performance measures to support decision-making in supply chain operations: a case of beverage industry
Performance measurement systems (PMS) have commonly been applied to evaluate and reward performances at
managerial levels, especially in the context of supply chain management. However, evidence suggests that the effective
use of PMS can also positively influence the behaviour and improve performance at an operational level. The motivation
is to accomplish organisational goals, namely to increase supply chain flexibility by responding to evermore-varying customer
demands in a timely manner. The purpose of the study described in this paper was to develop a conceptual framework
that adopts performance measures for ex-ante decision-making at an operational level within the supply chain. To
guide the research, five questions were asked and subsequently key gaps have been identified. In an attempt to fill the
gaps, a case study at a major global brand beverage company has been carried out, and as a result, a conceptual framework
of the PMS has been developed. Overall, the research offers a foundation of the applicability and impact of PMS
in the supply chain and provides a framework that attends to some of the potential uses of PMS that so far have not
been practically applied. The outcomes from the testing indicate that the initial gaps identified in the literature have been
addressed and that the framework is judicious with scope for practical applicability. The framework is deemed worthy of
further testing in different operational contexts of the supply chain
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Investigating factors influencing the decision making process for ERP adoption and implementation: An exploratory case study
The rapid developments in Information and Communication Technologies (ICT) have resulted into a borderless business environment along with an amplified market competition. Traversing through such a trend globally, organisations have significantly focused on adopting and implementing Enterprise Resource Planning (ERP) systems to automate their prime business processes, enhance organisational productivity with lower costs and prompt service delivery to fulfil consumer demands. Thus, ERP systems are considered as a principal source to provide imperative information vital for strategic decision making process. On the contrary, ERP systems adoption and implementation is also highly considered as a challenging and expensive process that not only requires rigorous efforts but also demands to have an exhaustive investigation of influential factors that are critical to the adoption and implementation of ERP systems. A plethora of research studies have been theorised exploring factors influencing the decision making process for ERP adoption and implementation; however, the authors claim that these studies are not filtered comprehensively in terms of the different perspectives. Notwithstanding, the implications of such research have yet to be assessed, leaving scope for timeliness and novel research. This paper thus focuses on the ERP critical success factors from five different perspectives such as: stakeholders; process; technology; organisation; and project based on the literature analysis. These perspectives comprise of 24 factors that are imperative for a successful ERP adoption and implementation, which are validated through a qualitative single case study based research. The empirical findings illustrate that these factor help realise significant benefits such as reducing costs and saving time or extra effort
Integration of decision support systems to improve decision support performance
Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes
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Current barriers and possible solutions to effective project team formation and deployment within a large construction organisation
The characteristics of the construction industry present an extremely challenging context for effective human resource management (HRM). The dynamic project-based nature of the industry results in extreme fluctuations in organisations’ workloads and requires teams to form, develop and disband relatively quickly. Thus, the importance of efficient management of employee resourcing activities cannot be understated. This paper reports on the findings of research which explored employee resourcing practices within large UK construction firms. The results suggest that managers currently attempt to carry out some strategic planning with regards to employee resourcing, but that this does not necessarily translate into effective operational practice which simultaneously takes account of organisational, project and individual employee needs. A new approach for more effective employee resourcing decision-making, based on encouraging the involvement of the employees in the deployment process, is put forward as a management tool which informs effective team formation and deployment. However, this will require the acceptance of both decision-support technology and of employee input into what is currently a tacit, management-oriented decision process
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