An ontology-based business intelligence application in a financial knowledge management system

Cheng, Hilary; Lu, Yi-Chuan; Sheu, Calvin

doi:10.1016/j.eswa.2008.02.047

Cited by 84 publications

(37 citation statements)

References 12 publications

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“…Business intelligence has also been identified as a key component to a sustainable competitive advantage. Cheng, Lu, & Sheu (2009) confirms that integrating both business intelligence and knowledge management would enable organisations to create niche business intelligence in order to maintain a competitive advantage, thus impacting on organizational performance. Business intelligence, considered as a data mining tool, and knowledge management, a process of data mining (Brachman and Anand, 1996), can impact on organizational performance.…”

Section: Discussionmentioning

confidence: 77%

Linking business intelligence to a knowledge-based sustainable competitive advantage in organizations

Ochara¹,

Mokwena²

2016

Afr. J. Bus. Manage.

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This study looks at the use of sentiment analysis and opinion mining in business intelligence by organisations to develop and sustain a competitive advantage. It discusses variables such as organisation structure, business intelligence, knowledge management, and opinions mining as some sources of competitive advantage. The approach for this research is based on a positivist paradigm. A survey research strategy was used and a questionnaire was used to collect sample data. The analysis revealed that variables related to knowledge management (KM) and business intelligence (BI) can be used to explain sustainable competitive advantage (CA). The regression model showed that the surrogate variables related to KM and BI can be used to explain CA; while OM was insignificant, taking into account the sample, its size and the context within which the study was conducted. The finding may appear contradictory to literature, implying that OM may not be contributing to sustainable competitive advantage. However, on closer scrutiny, the surrogate variable that represents the dependent construct of sustainable competitive advantage directly 'speaks' to the role of OM orientated towards processes that utilize opinions geared towards integration of KM and BI for sustaining competitive advantage. Thus, while the regression model depicted OM as insignificant in CA, the significant surrogate variable used for representing the dependent variable specifically captured the import of OM. OM, while negated as an independent variable, found its way as the 'glue' in linking BI and KM to sustainable CA.

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Section: Discussionmentioning

confidence: 77%

Linking business intelligence to a knowledge-based sustainable competitive advantage in organizations

Ochara¹,

Mokwena²

2016

Afr. J. Bus. Manage.

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“…debt) of public institutions [3]. Cheng, Lu et al illustrated a financial knowledge management system (FKMS), for realizing knowledge sharing processes of corporate bond classification [6]. Previous research also indicated that opportunities exist to share and reuse the financial knowledge bases for speculative investment [13].…”

Section: Related Workmentioning

confidence: 98%

A Wiki Service for Investment Knowledge Management

Wong

Fung

et al. 2008

2008 IEEE International Conference on E-Business Engineering

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There are many methodologies and theories developed for financial investment analysis. Nevertheless, financial analysts tend to adopt their proprietary models and systems to carry out financial investment analysis in practice. To advance both theories and practices in the financial investment domain, a knowledge management (KM) service is highly desirable to enable analysts, academics, and public investors to share their investment knowledge. This paper illustrates the design and development of a wiki-based investment knowledge management service which supports moderated sharing of structured and unstructured investment knowledge to facilitate investment decision making for both financial analysts and the general public. Our initial usability study shows that the proposed wiki-based investment knowledge management service is promising.

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“…Assim, como parte importante do processo de compreensão da ciência, desenvolver vantagens competitivas. Para isso é necessário integrar a gestão do conhecimento com os sistemas de apoio à decisão (Cheng et al, 2009), bem como um constante aperfeiçoamento de processos de IC (Ishaya & Folarin, 2012).…”

Section: Inteligência Competitivaunclassified

Uma análise cienciométrica da literatura de inteligência competitiva

Netto

Laurindo

2015

Prod.

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ResumoNo ambiente corporativo, possuir a informação correta não representa o fim, mas o início de um processo de decisão mais assertivo. Dessa forma, quanto melhor as organizações conseguem se constituir em coletivos inteligentes, melhor asseguram seu sucesso por meio da inteligência competitiva (IC). Por outro lado, a IC ainda encontra dificuldades para o desenvolvimento de uma teoria consistente do ponto de vista acadêmico. Portanto, este artigo se desenvolve com o objetivo de verificar a análise realizada por Jourdan et al. (2008), buscando confirmar as categorias de pesquisa identificadas. Para isso, o artigo utiliza a análise cienciométrica como método e identifica a existência de cinco campos de pesquisa relevantes para a IC: business intelligence, monitoramento ambiental, gestão do conhecimento, estratégia e decisão. Por fim, o artigo conclui com uma proposta sobre o relacionamento dessas categorias com a inteligência competitiva. Palavras-chaveInteligência competitiva. Business intelligence. Análise cienciométrica.

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An ontology-based business intelligence application in a financial knowledge management system

Cited by 84 publications

References 12 publications

Linking business intelligence to a knowledge-based sustainable competitive advantage in organizations

Linking business intelligence to a knowledge-based sustainable competitive advantage in organizations

A Wiki Service for Investment Knowledge Management

Uma análise cienciométrica da literatura de inteligência competitiva

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