The Evolution from Data to Wisdom in Decision-Making at the Level of Real and Virtual Networks

2009 ◽  
pp. 255-277
Author(s):  
Andrew Targowski
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Problem Solving ◽  
Theoretical Analysis ◽  
Computer Applications ◽  
Virtual Networks ◽  
Technology Application ◽  
Management Technology ◽  
Analysis And Synthesis ◽  
Decision Making Processes

This chapter provides theoretical analysis and synthesis of how computer applications are applied in problem-solving and decision-making in practice of real and virtual networks. The defined semantic ladder of cognition units provides the background for the analysis of the evolution of Knowledge Management technology and its applications in problem-solving and decision-making processes. The defined categories of decision-making tasks allow for the categorization of activities in network-oriented collaboration and the review of knowledge technology application in their implementations. Based upon this approach, the review of Knowledge Management technology is synthesized in real and virtual networks. Eventually both kinds of networks are compared by the Knowledge Management application criterion. However, Knowledge Management technology, despite its growing popularity is not the ultimate application, since wisdom not knowledge is the ultimate unit of cognition. Its structure in the civilization context is synthesized. Conclusions for theoreticians and practitioners are offered.

Restaurant Entrepreneurs Revisited: Systematic Vs. Intuitive Entrepreneurs And The Restaurants They Operate

1988 ◽  
Vol 12 (2) ◽  
pp. 377-389 ◽  
Author(s):  
Thomas A. Costello ◽  
Robert W. Small
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Decision Making Processes

Questionnaire responses from 158 California restaurant entrepreneurs indicate that their problem-solving and decision-making processes are addressed by two different approaches—systematic and intuitive. Five of eight contrasting factors evaluated proved statistically significant in separating the two groups. Both systematic and intuitive restaurant entrepreneurs proved equally successful in generating a profit.

Reflecting on the Orchestra Metaphor

2019 ◽  
pp. 43-61
Author(s):  
George Leal Jamil ◽  
Werner Silveira
Keyword(s):  
Decision Making ◽  
Theoretical Analysis ◽  
Business Process ◽  
Specific Technique ◽  
Simulation Techniques ◽  
Decision Making Processes ◽  
Modelling Techniques ◽  
Inside View

This chapter discusses the potentialities and limitations of metaphors, as simulation techniques applied for decision-making businesses process. A special look is given to the orchestra metaphor, as it is possible to consider one of the most cited method for decades. Approaching orchestra formation definitions, a study of orchestra characteristics and peculiarities was conducted, resulting in an interesting inside view of the orchestra. A brief theoretical analysis about modelling techniques and its application in business process is also developed, allowing, at the end, to discuss how the orchestra metaphor can be applied in a useful way, encompassing several of the aspects we pointed in the text. This results as an orientation for the reader to understand how this specific technique – orchestra metaphor – can be effectively applied in decision-making processes of any level for organizations, escaping from mistakes usually committed when simple views for musical orchestras are adopted.

scholarly journals Using Grey-based Mathematical Equations of Decision-making as Teaching Scaffolds: from an Unplugged Computational Thinking Activity to Computer Programming

2018 ◽  
Vol 2 (2) ◽  
pp. 29-46
Author(s):  
Meng-Leong How ◽  
Chee-Kit Looi
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Computational Thinking ◽  
Computer Code ◽  
Daily Lives ◽  
Decision Making Processes ◽  
Mathematical Equations ◽  
Problem Solving Strategies ◽  
Software Code ◽  
Crucial Part

Computational Thinking (CT) is pervasive in our daily lives and is useful for problem-solving. Decision-making is a crucial part of problem-solving. In the extant literature, problem-solving strategies in educational settings are often conveniently attributed to intuition; however, it is well documented that computer programmers might even have difficulty describing about their intuitive insights during problem-solving using natural language (such as English), and subsequently convert what has been described using words into software code. Hence, a more analytical approach using mathematical equations and descriptions of CT is offered in this paper as a potential form of rudimentary scaffolding, which might be useful to facilitators and learners of CT-related activities. In the present paper, the decision-making processes during an unplugged CT activity are delineated via Grey-based mathematical equations, which is useful for informing educators who may wish to explain to their learners about the various aspects of CT which are involved in the unplugged activity and simultaneously use these mathematical equations as scaffolds between the unplugged activity and computer code programming. This theoretical manuscript may serve as a base for learners, should the facilitator ask them to embark on a software programming activity that is closely associated to the unplugged CT activity.

Signposting: An AI Approach to Supporting Human Decision Making in Design

2000 ◽  
Author(s):  
Martin Stacey ◽  
P. John Clarkson ◽  
Claudia Eckert
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Problem Solving ◽  
Engineering Problem ◽  
Cognitive Engineering ◽  
Design Parameters ◽  
Management Tools ◽  
Design Activities ◽  
Control Knowledge ◽  
Task Structures

Abstract Artificial intelligence provides powerful techniques for formalising the art of engineering problem solving: for modelling products, describing task structures, and representing problem solving expertise as inference knowledge and control knowledge. Signposting systems extend the scope of these methods beyond automatic design by using them to provide both information and guidance for decision-making by human designers. This paper outlines the application of AI methods according to cognitive engineering considerations, to the development of knowledge management tools for engineering design. These tools go beyond conventional knowledge management and decision support approaches by supplying both inference knowledge and strategic problem solving knowledge to the user, as well as information about the state of the design. By focusing on tasks and on the dependencies between design parameters, signposting systems support contingent and flexible organisation of activities. Such tools can support product modelling, design process planning and capturing expert design knowledge, in a form that can be used directly to guide the organisation of design activities and the performance of individual tasks. A key element of this approach is the incremental acquisition of product models, task structures and problem solving knowledge by defining variant cases.

scholarly journals Knowledge Management Practice in Two Australian Architecture-Engineering-Construction (AEC) Companies

2012 ◽  
Vol 4 (2) ◽  
pp. 19-32 ◽  
Author(s):  
Patrick Zou
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Problem Solving ◽  
Information And Communication Technologies ◽  
Business Performance ◽  
Management Practice ◽  
Structured Interviews ◽  
Construction Operations ◽  
Construction Companies ◽  
Decision Making Problem

Knowledge management (KM) could be described as a management system that supports the creation, sharing and retrieving of valued information, expertise and insight within and across communities of people and related organizations using information and communication technologies and hence it is a combination of the effective application of information technlogy and management of human resources. KM is becoming a core competitive factor in construction operations. This paper presents the results of two case studies of KM practices in large AEC (architecture, engineering and construction) companies through desk-top study and semi-structured interviews. The results indicate that implementing KM in AEC companies leads to competitive advantages and improved decision-making, problem solving and business performance. The results also indicateed that while technology plays an important role, top management commitment, total employee involvement, performance assessment and the culture of knowledge-learning and sharing must be considered when implementing KM. Therefore it is suggested that the implementation of KM should incorporate the company's vision, work processes, technology and culture, to improve the ability of knowledge creating, capturing, sharing, retrieving and ultimately, to improve the company's competitive advantage, decision making, problem solving and innovation.

Communities of Practice Based Business Performance Evaluation

2011 ◽  
pp. 201-221
Author(s):  
Mei-Tai Chu ◽  
Rajiv Khosla
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Knowledge Management ◽  
Performance Evaluation ◽  
Communities Of Practice ◽  
Tacit Knowledge ◽  
Business Performance ◽  
Four Dimensions ◽  
Organizational Demands ◽  
Decision Making Processes

Knowledge Management (KM) is known to enhance an organization’s performance and innovation via the knowledge sharing both explicitly and tacitly. Moreover, Communities of Practice (CoPs) has been accepted as an effective way to retrieve and facilitate tacit knowledge particularly. Performance Evaluation of CoPs will significantly impact an organization’s strategic focus, knowledge transfer, resource allocation, and management performance. Meanwhile, proper measurement and decision making processes are critical for KM and CoPs success. However, the ultimate performance of CoPs implementation is uneasy to measure correctly. This chapter attempts to analyze how to establish a feasible framework to assess CoPs performance to meet organizational demands. This framework contains four dimensions and sixteen criteria built from review of existing literature and experts’ interviews in a large R &D organization. Therefore, this chapter tends to discuss the CoPs and its performance evaluation from a theoretical and practical perspective.

Student Decision Making in Technology Application

2011 ◽  
pp. 155-167
Author(s):  
Ali Ahmed ◽  
Abdulaziz Elfessi
Keyword(s):  
Decision Making ◽  
Statistical Significance ◽  
Analysis Of Covariance ◽  
Control Group ◽  
Full Time ◽  
Web Based ◽  
Technology Application ◽  
Decision Making Processes ◽  
Initial Score ◽  
Level Of Significance

This study investigated factors that influence students’ decision-making processes in selecting a classroom or online course, student technology skills and experience, and concerns students have about Internet integration. Students completed a survey questionnaire and web-based pretests and posttests. A Likert scale instrument was completed by students in both a control group and an experimental group. Independent two-sample t-tests and an analysis of covariance (ANCOVA), using the initial score as the covariate, were conducted. Level of significance (alpha) was set at .05 to achieve statistical significance for all analyses. Both groups in this study were full-time, on-campus students with access to the same technology resources. Findings reveal that students’ perceptions and experiences were quite similar.

Using KMS as a Tool to Improve Decision Making Process

2013 ◽  
pp. 1-11 ◽  
Author(s):  
Rawan Khasawneh ◽  
Emad Abu-Shanab
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Management Practices ◽  
Decision Making Process ◽  
Sustained Competitive Advantage ◽  
Decision Making Processes ◽  
Strategic Goals ◽  
Development Processes ◽  
The Right ◽  
Future Work

Knowledge plays a central role in the decision making process, and it provides a better foundation for managers to make high quality decisions. On the other hand, having the right knowledge at the right time to make the right decision is becoming a competitive weapon utilized by organizations to achieve sustained competitive advantage and other strategic goals. Based on that, it is important for organizations to manage their knowledge (organization intellectual asset) in a more effective and efficient way in order to gain such benefits. This chapter explores knowledge management and decision-making processes and its general concepts, reviews several conceptual frameworks of knowledge management that affect the decision making process proposed in the literature, and demonstrates several knowledge-management practices in software development processes. Conclusions and proposed future work are stated at the end of the chapter.

Assessing Knowledge Management Systems Usage in Supporting Decision Making Processes in Organizations

2014 ◽  
pp. 326-340 ◽  
Author(s):  
Mahmoud Abdelrahman ◽  
K. Nadia Papamichail ◽  
Simon French
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Knowledge Economy ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Critical Factors ◽  
Public And Private ◽  
Decision Making Processes ◽  
Support Decision Making

With the advent of the knowledge economy and the growing importance of knowledge societies, organizations are constantly seeking new ways of leveraging knowledge assets to support Decision Making (DM) processes. This chapter presents an initial insight to the little-researched phenomenon of how Knowledge Management Systems (KMSs) can support DM processes in organizations. A synthesis of ideas from a literature review suggests a new conceptual framework with several critical factors that organizations should take into account to assess the usage of KMSs tools in supporting DM processes in organizations. The proposed framework, “USUQ,” will benefit managers in both public and private sectors in knowing how the Usage, Satisfaction, Usefulness, and the Quality of using KMSs can support DM processes.

Sign in / Sign up

Export Citation Format

Share Document