Enhancing Knowledge Marketplaces Through the Theory of Knowledge Measurement

Schwartz, David G.

doi:10.1007/978-3-642-39747-9_30

Cited by 2 publications

(1 citation statement)

References 45 publications

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“…This shows the value of knowledge in both technological and organisational activities. Hsu and Mykytyn Jr. [107] and Schwartz [86] posited that innovation capital falls under the branch of explicit knowledge and facilitates organisational learning. This idea describes how businesses can use knowledge to gain scale, breadth, and as well as differentiation.…”

Section: Innovation Capital Disclosurementioning

confidence: 99%

An Assessment of the Influence of Structural Capital Disclosure on the Value of Listed Service Firms in Nigeria

Akinadewo,

Falana

2024

Asian J. Econ. Busin. Acc.

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The purpose of this study was to assess the influence of structural capital disclosure on the value of listed service firms in Nigeria. This study employed a quantitative research approach, using data from annual reports and financial statements of 23 listed service firms in Nigeria. The sample was selected using a census sampling technique. The study used multiple regression analysis coupled with correlation analysis. From the findings that emerged from the result, the study concluded that structural capital disclosure proxy by organisational, process, and innovation capital disclosures significantly influence the value of listed service firms in Nigeria. Given this finding, the study recommends that a framework for such disclosure should be institutionalized as firms want to limit this type of disclosure because of business secrecy and competitors' disadvantage costs.

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Section: Innovation Capital Disclosurementioning

confidence: 99%

An Assessment of the Influence of Structural Capital Disclosure on the Value of Listed Service Firms in Nigeria

Akinadewo,

Falana

2024

Asian J. Econ. Busin. Acc.

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Evaluating Domain Ontologies

McDaniel

Storey

2019

ACM Comput. Surv.

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The number of applications being developed that require access to knowledge about the real world has increased rapidly over the past two decades. Domain ontologies, which formalize the terms being used in a discipline, have become essential for research in areas such as Machine Learning, the Internet of Things, Robotics, and Natural Language Processing, because they enable separate systems to exchange information. The quality of these domain ontologies, however, must be ensured for meaningful communication. Assessing the quality of domain ontologies for their suitability to potential applications remains difficult, even though a variety of frameworks and metrics have been developed for doing so. This article reviews domain ontology assessment efforts to highlight the work that has been carried out and to clarify the important issues that remain. These assessment efforts are classified into five distinct evaluation approaches and the state of the art of each described. Challenges associated with domain ontology assessment are outlined and recommendations are made for future research and applications.

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Enhancing Knowledge Marketplaces Through the Theory of Knowledge Measurement

Cited by 2 publications

References 45 publications

An Assessment of the Influence of Structural Capital Disclosure on the Value of Listed Service Firms in Nigeria

An Assessment of the Influence of Structural Capital Disclosure on the Value of Listed Service Firms in Nigeria

Evaluating Domain Ontologies

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