Analyzing the structure of expert knowledge

Bradley, John H.; Paul, Ravi; Seeman, Elaine

doi:10.1016/j.im.2004.11.009

Cited by 93 publications

(77 citation statements)

References 43 publications

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“…Similarly, multidimensional scaling can be used for such an aim (Bradley, Paul, & Seeman, 2006) as well as network scaling, e.g., PathFinder technique (Bradley et al, 2006;Rose, Rose, & McKay, 2007). Multidimensional scaling procedures use pairwise proximity estimates of a set of concepts and generate d-dimensional spatial layouts of those concepts (Cooke, 1994).…”

Section: Measuring Knowledge At Group Levelmentioning

confidence: 99%

“…Network scaling involves the generation of a graph representation based on the proximities (Cooke, 1994). The PathFinder technique includes the conversion of a set of relatedness judgments into psychological distances, resulting in a fully connected, weighted network of concepts and relationships (Bradley et al, 2006). It provides a direct measure of a decision maker's knowledge structure that can be employed in deterministic and non-deterministic decision environments (Rose et al, 2007).…”

Section: Measuring Knowledge At Group Levelmentioning

confidence: 99%

“…It provides a direct measure of a decision maker's knowledge structure that can be employed in deterministic and non-deterministic decision environments (Rose et al, 2007). An algorithm is applied to this network to generate a reduced network containing only the shortest paths (Bradley et al, 2006). Cooke (1994) explains that the Pathfinder procedure takes pairwise proximity estimates for a set of items and generates a graph structure in which the items are represented as nodes and relations between items are represented as links between nodes.…”

Section: Measuring Knowledge At Group Levelmentioning

confidence: 99%

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Measuring Knowledge

Matošková¹

2016

JOC

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Knowledge is a key to creating a sustainable competitive advantage. Measuring knowledge of an organization as a unit allows for, in addition to other things, benchmarking it against other organizations as well as comparing the development within the organization in the course of time. Additionally, measuring the knowledge of individuals and groups helps identify key workers and can also be used when recruiting a new work force, while evaluating employees' work performances, or to check the course of the adaptation of a new employee. Even though the field of measuring knowledge belongs, in comparison with other topics, among the lesser-developed fields in the management of knowledge, a number of approaches that can be used to measure knowledge have been introduced. The aim of this study is to present an overview of methods which can be applied when measuring the knowledge of organizations, groups or individuals and thus provide a practical list of methods which feature in literature mostly for practitioners and novices in this field. The study is based on a content-analysis of literature.

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Section: Measuring Knowledge At Group Levelmentioning

confidence: 99%

Section: Measuring Knowledge At Group Levelmentioning

confidence: 99%

Section: Measuring Knowledge At Group Levelmentioning

confidence: 99%

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Measuring Knowledge

Matošková¹

2016

JOC

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“…More recent studies suggest that expertise requires well-organized structures of both formal and tacit knowledge, and that experts combine these two forms of knowledge in a dual process that creates tailored connections in order to solve complex problems (Kinchin & Cabot, 2010). Although expertise is often associated with rapid assessment and response, experts may spend more time than novices determining an appropriate representation of and response to the problem at hand, in part because they have more sophisticated repertoires of dual knowledge processing (Bradley et al, 2006). While the nature of tacit knowledge makes it challenging to articulate outside of the context, there are arguments that it can be accessed through reflection and discussion regarding what one is doing and why within a specific situational context (Luntley, 2011).…”

Section: Novicementioning

confidence: 99%

A conceptual review of interprofessional expertise in child safeguarding

Hood

Gillespie

Davies

2016

Journal of Interprofessional Care

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It is increasingly accepted that practitioners across a range of professional fields must work together in order to promote children's welfare and protect them from harm. However, it has also become apparent that interprofessional working is a challenging area of practice that cannot simply be prescribed through protocols and procedures, nor acquired as a set of technical competences. This paper develops the concept of interprofessional expertise in order to explain how practitioners become more proficient at working with others to manage complex child welfare issues. Key principles are outlined with reference to relevant theoretical frameworks, including models of skill acquisition. The paper concludes by discussing some potential implications for future research and contemporary developments in child safeguarding practice.

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“…The framework provided a structured approach for studying organizations' intellectual capital management, measurement and reporting practices and locating and analyzing these within a strategic context. Bradley et al (2006) reported the results of an investigation in which the tacit knowledge of domain experts was elicited, represented, and analyzed for validity and reported that experience alone was not an indicator of expertise and other factors, such as the cognitive capability to properly structure those experiences, must be present as well. Butler (2003) provided some insight on the information system field's understanding of the limitations and capabilities of knowledge management systems and explained why many knowledge management systems could fail in practice.…”

Section: Introductionmentioning

confidence: 99%

The impact of information technology facilities on knowledge management lifecycle

Azad¹,

Ebrahimi²

2014

10.5267/j.msl

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During the past two decades, there have been tremendous changes on development of information technology (IT). People may do their daily activities using different IT based products such as email, search engines, video conferences, etc. This paper presents an empirical investigation to study the relationship between IT facilities and knowledge management lifecycle components including, knowledge generation, knowledge acquisition, knowledge storage, knowledge transmission and knowledge usage. The study has accomplished among 150 randomly selected people who work for social security organization in city of Esfahan, Iran. Using structural equation modeling, the study has determined that there were positive and meaningful relationship between IT facilities and all components of knowledge management lifecycle.

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Analyzing the structure of expert knowledge

Cited by 93 publications

References 43 publications

Measuring Knowledge

Measuring Knowledge

A conceptual review of interprofessional expertise in child safeguarding

The impact of information technology facilities on knowledge management lifecycle

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