Knowledge Calibration

2011 ◽  
pp. 311-316 ◽  
Author(s):  
Ronald E. Goldsmith ◽  
Kishore Gopalakrishna Pillai
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Important Concept ◽  
Management Knowledge ◽  
Use Of Knowledge ◽  
Knowledge Calibration

The purpose of this article is to describe the concept of knowledge calibration within the context of knowledge management. Knowledge calibration is a concept borrowed from the psychology of decision making. It refers to the correspondence between knowledge accuracy and the confidence with which knowledge is held. Calibration is a potentially important concept for knowledge management because it describes one of the subtle errors that can lead to poor decisions. Where the correspondence between the accuracy of one’s knowledge and the confidence in that knowledge is high, decisions are described as well calibrated; but poor correspondence implies miscalibrated decisions. Since one concern of the field of knowledge management is the best use of knowledge for decision-making purposes, this topic is relevant.

Knowledge Calibration and Knowledge Management

2010 ◽  
pp. 497-505
Author(s):  
Ronald E. Goldsmith ◽  
Kishore Gopalakrishna Pillai
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Important Concept ◽  
Management Knowledge ◽  
Use Of Knowledge ◽  
Knowledge Calibration

The purpose of this article is to describe the concept of knowledge calibration within the context of knowledge management. Knowledge calibration is a concept borrowed from the psychology of decision making. It refers to the correspondence between knowledge accuracy and the confidence with which knowledge is held. Calibration is a potentially important concept for knowledge management because it describes one of the subtle errors that can lead to poor decisions. Where the correspondence between the accuracy of one’s knowledge and the confidence in that knowledge is high, decisions are described as well calibrated; but poor correspondence implies miscalibrated decisions. Since one concern of the field of knowledge management is the best use of knowledge for decision-making purposes, this topic is relevant.

Knowledge Calibration

2011 ◽  
pp. 3125-3132
Author(s):  
Ronald E. Goldsmith ◽  
Kishore Gopalakrishna Pillai
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Important Concept ◽  
Management Knowledge ◽  
Use Of Knowledge ◽  
Knowledge Calibration

The purpose of this article is to describe the concept of knowledge calibration within the context of knowledge management. Knowledge calibration is a concept borrowed from the psychology of decision making. It refers to the correspondence between knowledge accuracy and the confidence with which knowledge is held. Calibration is a potentially important concept for knowledge management because it describes one of the subtle errors that can lead to poor decisions. Where the correspondence between the accuracy of one’s knowledge and the confidence in that knowledge is high, decisions are described as well calibrated; but poor correspondence implies miscalibrated decisions. Since one concern of the field of knowledge management is the best use of knowledge for decision-making purposes, this topic is relevant.

scholarly journals Decision-Making Quality of Public Managers: Contributions from Intelligence and Knowledge Management

2021 ◽  
Vol 25 (2) ◽  
Author(s):  
Claudia Melati ◽  
Raquel Janissek-Muniz ◽  
Carla Maria Marques Curado
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Public Management ◽  
Qualitative Comparative Analysis ◽  
Decision Quality ◽  
Public Managers ◽  
Analysis Technique ◽  
The Government ◽  
Use Of Knowledge

ABSTRACT Context: in recent years, studies have sought to analyze how intelligence and knowledge management processes are understood and applied in the context of public management, environments in which processes appear as a point to be explored to enhance decision-making quality. Objective: to analyze how public managers apply intelligence and knowledge management aiming at a higher decision quality. Method: based on a defined and validated research protocol, interviews were conducted with seventeen public managers in southern Brazil. For the analysis, the qualitative comparative analysis technique using fuzzy sets was applied. Results: the results suggest the importance of effective data, information, and knowledge management for the decision-making quality of public managers, demonstrating that the absence of decision-making quality is directly related to the absence or little use of knowledge management and intelligence elements in the public management. Conclusion: in addition to analyzing conditions and proposing ways to lead to greater quality in decision making by public managers, it was possible to contribute to the theme of knowledge management and intelligence in public management, as well as to benefit the government with paths to be consolidated and better explored.

scholarly journals Qualidade Decisória dos Gestores Públicos: Contribuições da Inteligência e Gestão do Conhecimento

2021 ◽  
Vol 25 (2) ◽  
Author(s):  
Claudia Melati ◽  
Raquel Janissek-Muniz ◽  
Carla Maria Marques Curado
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Public Management ◽  
Qualitative Comparative Analysis ◽  
Decision Quality ◽  
Public Managers ◽  
Management Processes ◽  
Analysis Technique ◽  
The Government ◽  
Use Of Knowledge

ABSTRACT Context: in recent years, studies have sought to analyze how intelligence and knowledge management processes are understood and applied in the context of public management, environments in which processes appear as a point to be explored to enhance decision-making quality. Objective: to analyze how public managers apply intelligence and knowledge management aiming at a higher decision quality. Method: based on a defined and validated research protocol, interviews were conducted with seventeen public managers in southern Brazil. For the analysis, the qualitative comparative analysis technique using fuzzy sets was applied. Results: the results suggest the importance of effective data, information, and knowledge management for the decision-making quality of public managers, demonstrating that the absence of decision-making quality is directly related to the absence or little use of knowledge management and intelligence elements in the public management. Conclusion: in addition to analyzing conditions and proposing ways to lead to greater quality in decision making by public managers, it was possible to contribute to the theme of knowledge management and intelligence in public management, as well as to benefit the government with paths to be consolidated and better explored.

We are from Knowledge Sharing Culture

2007 ◽  
Vol 32 (3) ◽  
pp. 369-374 ◽  
Author(s):  
K. P. Naachimuthu
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Knowledge Sharing ◽  
Present Article ◽  
Knowledge Economy ◽  
Daily Living ◽  
Knowledge Assets ◽  
Collective Wisdom ◽  
Critical Resource ◽  
Use Of Knowledge

With the emergence of knowledge economy, organizational knowledge is rapidly being recognized as a critical resource. Increasingly, organizations are trying to manage these knowledge assets to support their strategic business objectives. In the process, a concept known as ‘Knowledge Management’ (KM), has come into wide use to describe the development of tools, processes, systems, structures and cultures explicitly to improve the creation, sharing and use of knowledge critical for decision making. There are individuals in every organization who want to share and communicate knowledge and also those who prefer to keep their knowledge a private asset. ‘Sharing, leverage and reuse of knowledge should become a part of organizational culture to tap its collective wisdom. The present article is an attempt to bring to notice of how management and knowledge sharing were part and parcel of our culture, practiced since thousands of years and it also stresses that we need to inculcate them and then follow in our daily living.

The Merits of a Just-In-Time Knowledge Management (JITKM) Approach to Decision-Making Support

2006 ◽  
Vol 05 (04) ◽  
pp. 269-277 ◽  
Author(s):  
Nabie Y. Conteh ◽  
Guisseppi Forgionne ◽  
William D. Schulte ◽  
Kevin J. O'Sullivan
Keyword(s):  
Decision Making ◽  
Information System ◽  
Knowledge Management ◽  
Simulation Models ◽  
Knowledge Bases ◽  
Quality Data ◽  
Just In Time ◽  
Use Of Knowledge ◽  
Knowledge Delivery ◽  
Decision Making Support

This paper advances the argument that, a knowledge base, rather than playing a crucial role in expediting the delivery of knowledge, obscures the process. The paper therefore offers an alternative strategy by way of the Just-In-Time knowledge delivery concept. The concept's benefits are demonstrated empirically, and the results are used to recommend strategies for maximising the benefits from the use of knowledge bases. The results of this study confirm that focussed and timely delivery of knowledge through a Just-in-Time Knowledge Management (JITKM) concept may be more effective than traditional decision support systems for decision-making support. This paper offers a novel and innovative information system, the Intelligent Just-in-Time Decision-Making Support System (IJDSS) to implement the JITKM concept in practice. The study also shows that simulation can be used to generate quality data for information system testing and evaluation. Moreover, this study suggests that simulation can be used to replace a subject-based empirical approach. As census studies, the results from such evaluations should be more generalisable in comparison to sample studies that use limited samples of subjects. Adaptations of these simulation models could also be used in diverse sectors.

Implementasi Manajemen Pengetahuan pada Perguruan Tinggi Swasta di Kabupaten Garut

2019 ◽  
Vol 22 (2) ◽  
Author(s):  
Hendarsita Amartiwi
Keyword(s):  
Knowledge Management ◽  
Private Higher Education ◽  
Survey Method ◽  
Unit Of Analysis ◽  
Factors Affecting ◽  
Confirmatory Factor ◽  
Research Findings ◽  
Survey Results ◽  
Use Of Knowledge ◽  
Descriptive Statistical Analysis

This study scrutinize the factors affecting knowledge management, consisting of acquisition of knowledge, storage of knowledge, distribution of knowledge and use of knowledge, at Private Higher Education Institutions in Garut Regency.  The purpose of this study is to analyze the factors shaping the knowledge management.  By using a survey method with a quantitative approach, the unit of analysis of this study is lecturer at 14 Private Universities in Garut Regency, with 229 lecturers as respondents. Data is obtained from survey results through questionnaires distributed directly to lecturers. Data is processed using descriptive statistical analysis and Confirmatory Factor Analysis (CFA). The research findings showed that the use of knowledge and the storage of knowledge are the most powerful factors in knowledge management, followed by the acquisition of knowledge, and distribution of knowledge.

Use of Knowledge Management Systems and the Impact on the Acquisition of Explicit Knowledge

2008 ◽  
Vol 22 (2) ◽  
pp. 77-101 ◽  
Author(s):  
Holli McCall ◽  
Vicky Arnold ◽  
Steve G. Sutton
Keyword(s):  
Knowledge Management ◽  
Problem Solving ◽  
Knowledge Acquisition ◽  
Reference Materials ◽  
Explicit Knowledge ◽  
Experimental Methodology ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Use Of Knowledge ◽  
The Impact

ABSTRACT: In an era where knowledge is increasingly seen as an organization's most valuable asset, many firms have implemented knowledge-management systems (KMS) in an effort to capture, store, and disseminate knowledge across the firm. Concerns have been raised, however, about the potential dependency of users on KMS and the related potential for decreases in knowledge acquisition and expertise development (Cole 1998; Alavi and Leidner 2001b; O'Leary 2002a). The purpose of this study, which is exploratory in nature, is to investigate whether using KMS embedded with explicit knowledge impacts novice decision makers' judgment performance and knowledge acquisition differently than using traditional reference materials (e.g., manuals, textbooks) to research and solve a problem. An experimental methodology is used to study the relative performance and explicit knowledge acquisition of 188 participants partitioned into two groups using either a KMS or traditional reference materials in problem solving. The study finds that KMS users outperform users of traditional reference materials when they have access to their respective systems/materials, but the users of traditional reference materials outperform KMS users when respective systems/materials are removed. While all users improve interpretive problem solving and encoding of definitions and rules, there are significant differences in knowledge acquisition between the two groups.

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