A Network-Based View of Enterprise Architecture

2007 ◽  
pp. 306-319 ◽  
Author(s):  
B. Iyer ◽  
D. Dreyfus ◽  
P. Gyllstrom
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Enterprise Architecture ◽  
Process Data ◽  
Dependency Networks ◽  
Support Tools ◽  
Design Production ◽  
Data Requirements ◽  
Over Time

Traditional notions of architecture have focused on the components and (or domains of interest—process, data, and infrastructure) aspects of architecture. Their goal is to separate concerns into modules and provide interfaces between modules. This view helps designers understand the ideal or espoused view of architecture. In our work, we view architecture from a dependency perspective. These dependencies evolve over time, creating an emergent architecture. The emergence is influenced by both technical and social factors. Dependencies occur during the design, production, and use of enterprise components. This leads us to use network-based analysis techniques in order to understand the emerging dependency networks. In order to provide architects with support tools to communicate and make decisions about architecture, we describe the data requirements and algorithms that can be used to build a decision support system that enable enterprises to incorporate a network perspective in their decision making process. We present our approach and methods in the context of a case study

scholarly journals Decision support tools to improve cancer diagnostic decision making in primary care: a systematic review

2019 ◽  
Vol 69 (689) ◽  
pp. e809-e818 ◽  
Author(s):  
Sophie Chima ◽  
Jeanette C Reece ◽  
Kristi Milley ◽  
Shakira Milton ◽  
Jennifer G McIntosh ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Decision Making ◽  
Decision Support ◽  
Cost Effectiveness ◽  
Cancer Diagnosis ◽  
Decision Support Tools ◽  
Diagnostic Decision ◽  
Support Tools ◽  
Diagnostic Decision Making

BackgroundThe diagnosis of cancer in primary care is complex and challenging. Electronic clinical decision support tools (eCDSTs) have been proposed as an approach to improve GP decision making, but no systematic review has examined their role in cancer diagnosis.AimTo investigate whether eCDSTs improve diagnostic decision making for cancer in primary care and to determine which elements influence successful implementation.Design and settingA systematic review of relevant studies conducted worldwide and published in English between 1 January 1998 and 31 December 2018.MethodPreferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials were searched, and a consultation of reference lists and citation tracking was carried out. Exclusion criteria included the absence of eCDSTs used in asymptomatic populations, and studies that did not involve support delivered to the GP. The most relevant Joanna Briggs Institute Critical Appraisal Checklists were applied according to study design of the included paper.ResultsOf the nine studies included, three showed improvements in decision making for cancer diagnosis, three demonstrated positive effects on secondary clinical or health service outcomes such as prescribing, quality of referrals, or cost-effectiveness, and one study found a reduction in time to cancer diagnosis. Barriers to implementation included trust, the compatibility of eCDST recommendations with the GP’s role as a gatekeeper, and impact on workflow.ConclusioneCDSTs have the capacity to improve decision making for a cancer diagnosis, but the optimal mode of delivery remains unclear. Although such tools could assist GPs in the future, further well-designed trials of all eCDSTs are needed to determine their cost-effectiveness and the most appropriate implementation methods.

Decision Support Tools for Managing Unpredictability in the Supply Chain

2000 ◽  
Author(s):  
Carol Vesier
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Inventory Management ◽  
Production Scheduling ◽  
Capital Investment ◽  
Investment Strategy ◽  
Decision Support Tools ◽  
Business Outcomes ◽  
Support Tools

Abstract Effectively managing unpredictability requires decision support tools that can predict the financial and business outcomes of various supply chain strategies. This paper will discuss the role of these decision support tools and their characteristics as well as review a case study. In the case study, decision support tools facilitated development of strategies that increased after tax profit by $140 Million. These strategies included: • Reliability improvement strategy: Identifying the reliability improvements that offered the biggest profitability impact. • Supply chain strategy: Defining inventory management and production scheduling rules that ensured order shipment within two days. • Capital investment strategy: Defining when new capacity should come on line as well as the minimum capital investment.

Engineering Information Systems to Allow the Integration of Process Monitoring With Asset Management

1997 ◽  
Author(s):  
R. A. Platfoot ◽  
A. Koh ◽  
E. Van Voorthuysen
Keyword(s):  
Decision Making ◽  
Process Monitoring ◽  
Asset Management ◽  
Process Data ◽  
Engineering Information ◽  
Aerosol Cans ◽  
Information Chain ◽  
Wide Readership ◽  
Machine Cell

Abstract A system has been developed whereby process data downloaded from PLC’s is entered into an information chain which incorporates an analysis module which provides tailored reports to a wide readership. The various positions associated with running the factory were analyzed for the types of decisions associated with the job responsibility plus the information necessary to support the decision making. A case study is presented for analyzing aspects of the manufacture of three piece steel aerosol cans. A hardware and software solution was designed, linking a machine cell through the PLC to a operator/process interface.

Assessing the Performance of Decision Support Systems in Military Environment

2015 ◽  
pp. 45-70 ◽  
Author(s):  
Jean-Fabrice Lebraty ◽  
Cécile Godé
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Extreme Environment ◽  
Is Success ◽  
Original Case ◽  
And Performance

This article explores the ability of a decision support system (DSS) to improve the quality of decision making in extreme environment. This DSS is actually based on a networked information system. Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users' evaluations as a relevant measurement technique for Information System (IS) success. Although effective contributions have been achieved in measurement and exploration of fit, there have been few attempts to investigate the triangulation of fit between “Task-DSS-Decision Maker” under stressful and uncertain circumstances. This article provides new insights regarding the advantages provided by networked IS for making relevant decisions. An original case study has been conducted. It is focused on a networked decision support system called Link 16 that is used during aerial missions. This case study shows that the system improves decision making on an individual basis. Our result suggest the importance of three main fit criteria – Compliance, Complementarity and Conformity – to measure DSS performance under extreme environment and display a preliminary decisional fit model.

Tailorable Technologies for Improving Business Intelligence Systems

2021 ◽  
pp. 560-575
Author(s):  
Shah J. Miah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Conceptual Framework ◽  
Business Intelligence ◽  
Cost Effective ◽  
Business Owners ◽  
Business Intelligence Systems ◽  
Effective Operation

The Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in decision making, without extra technical exertions. In this chapter, the authors describe a conceptual framework of tailorable BIS solution that is based on case study findings in that the highlighted requirements are relevant to address changing situations through enhancing end user's engagement. The activities of end user's engagement supported through the use of tailorable features that reinforce a shift from the traditional BIS process to a new provision where business owners can actively involve in adjusting their features to their decision support.

A Decision Support System and Visualisation Tools for AHP-GDM

2021 ◽  
pp. 703-722
Author(s):  
Alberto Turón ◽  
Juan Aguarón ◽  
María Teresa Escobar ◽  
José María Moreno-Jiménez
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Group Decision Making ◽  
Support System ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Consensus Matrix ◽  
Minimum Number

The Precise Consistency Consensus Matrix (PCCM) is a decisional tool for AHP-Group Decision Making (AHP-GDM). Based on the initial pairwise comparison matrices of the individuals, the PCCM constructs a consensus matrix for the group using the concept of consistency. This paper presents a decision support system (PRIOR-PCCM) that facilitates the construction of the PCCM in the context of AHP-GDM, and the calculus of four indicators that allows comparison of the behaviour of group consensus matrices. PRIOR-PCCM incorporates the possibility of considering different weights for the decision makers and includes a module that permits the extension of the initial PCCM which can achieve the minimum number of non-null entries required for deriving priorities or establishing a complete PCCM matrix. It also includes two cardinal indicators for measuring consistency and compatibility and two ordinal indicators for evaluating the number of violations of consistency and priority. The paper introduces some new visualisation tools that improve comprehension of the process followed for obtaining the PCCM matrix and allow the cognitive exploitation of the results. These original contributions are illustrated with a case study.

Electronic Commerce and Change in Management Accounting Practices in an Egyptian Organization

2015 ◽  
pp. 189-205
Author(s):  
Mayada A. Youssef
Keyword(s):  
Decision Making ◽  
Electronic Commerce ◽  
Management Accounting ◽  
Longitudinal Case Study ◽  
Power Strategies ◽  
Planning Decision ◽  
And Control ◽  
Business To Business ◽  
Over Time

The objective of this chapter is to explore the implementation of e-commerce in an Egyptian organization. It reports on a longitudinal case study in an Egyptian organization (TexCo) that implemented Business-to-Business (B-to-B) electronic commerce. Following a change in leadership, TexCo was subject to a process of questioning the traditional ways of doing things. This process resulted in realizing planning, decision-making, and control problems within the company. The B-to-B system was chosen to introduce new control-based rules. However, the change was faced with resistance from TexCo's distributors. It is posited that various power strategies were used to ameliorate covert and overt resistance. Over time, the management accounting practices in TexCo changed towards greater decision support and control. B-to-B electronic commerce improved planning, decision-making, and control in TexCo.

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