Business Intelligence: An Analysis of the Literature<sup>1</sup>

Jourdan, Zack; Rainer, R. Kelly; Marshall, Thomas E.

doi:10.1080/10580530801941512

Cited by 220 publications

(51 citation statements)

References 10 publications

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“…Strategic network formation seeks to understand the nature of network structures on a deep level, using principles of SNA developed in fields as diverse as sociology, mathematics, and economics (Jackson, 2010). Interest in BI and data analytics has made strategic network formation an important area of study in information systems in recent years (Jourdan, Rainer, & Marshall, 2008;Wixom, Watson, Reynolds, & Hoffer, 2008), and SNA methodologies (Sipior, Ward, Volonino, & MacGabhann, 2013) have shown the benefit of considering underlying network structure in answering questions of interest to the IS community. For example, Susarla, Oh, and Tan (2012) studies the structure of a network of YouTube videos.…”

Section: Strategic Network Formationmentioning

confidence: 99%

Using Interest Graphs to Predict Rich-Media Diffusion in Content-Based Online Social Networks

Church

Iyer

Zhao

2015

Information Systems Management

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Rich-media, pictures, and videos, are becoming an increasingly important aspect of online social networks. Unlike social networks, where users are connected primarily because of being friends, peers, or co-workers, content-based networks build connections between individuals founded on a shared interest in rich-media content. In this study, "interest-graphs" comprised of these content-based connections were examined. As shown, interest graph analysis provides important advantages over traditional social network analysis to identify valuable network members and predicting rich-media diffusion.

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Section: Strategic Network Formationmentioning

confidence: 99%

Using Interest Graphs to Predict Rich-Media Diffusion in Content-Based Online Social Networks

Church

Iyer

Zhao

2015

Information Systems Management

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“…• Se han efectuado suficientes revisiones de literatura y formulaciones teóricas, pero se requiere reforzar otras técnicas de investigación y, en especial, enfatizar en los beneficios del BI y en cómo se toman decisiones gracias a su uso (Jourdan, Rainer, & Marshall, 2008). La relación causal de la agilidad organizacional en el desempeño de la firma es ampliamente aceptada y no es objeto de debate.…”

Section: Conclusionesunclassified

Business Intelligence and Its Role in Organizational Agility

Calderón¹,

Rozo²,

Sandoval³

2017

crilib

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González C., Jorge L.; Palacios R., Jairo J.; Perea S., Julio A. (2017). La intelidencia de negocios y su rol en la agilidad organizacional. 239-258. ISSN 1900-0642 La inteligencia de negocios y su rol en la agilidad organizacional 241En cuanto a BI, se denota la evolución en los conceptos de madurez, técnicas y tecnologías analíticas, recursos implicados y su impacto estratégico. En tanto que sobre agilidad organizacional se abarcan la definición del concepto y los factores que la promueven, haciendo un especial énfasis en los factores comunes entre la AO y BI. Se encuentra una relación positiva en doble vía, es decir, la AO se ve favorecida con los proyectos de BI, pero a su vez las compañías ágiles tienen un mejor aprovechamiento de las bondades de la inteligencia de negocios. PALABRAS CLAVEAgilidad organizacional, factores críticos de éxito, inteligencia de negocios. CLASIFICACIÓN JEL M00, M10, M15, M19ABSTRACT Business Intelligence (BI) is one of the business tools on which competitive advantages of various world-class companies are based. Also in the highly competitive and changing global environment, the ability of an organization to detect changes, make decisions and to do a fast implementation, is the difference between grow or disappear; this attribute in an organization is named Organizational Agility (AO). In this paper, through the systematic review of the literature, the state of art of both fields (BI and AO) is established and in particular studies examining the relationship between the two. The research about this relation is beginning, and therefore is a field with much to explore. About BI, its evolution is denoted on the concepts of maturity, technical and analytical technologies. Referring to organizational agility, the concept is reviewed as such and factors that promote, with special emphasis on the factors for the couple of concepts. The conclusion is that a positive relationship is two-way, the AO is favored with BI projects in BI mature companies, and agile enterprises obtain better results of BI.

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“…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.…”

Section: Introductionunclassified

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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Business Intelligence: An Analysis of the Literature¹

Cited by 220 publications

References 10 publications

Using Interest Graphs to Predict Rich-Media Diffusion in Content-Based Online Social Networks

Using Interest Graphs to Predict Rich-Media Diffusion in Content-Based Online Social Networks

Business Intelligence and Its Role in Organizational Agility

Uma análise cienciométrica da literatura de inteligência competitiva

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Business Intelligence: An Analysis of the Literature1

Cited by 220 publications

References 10 publications

Using Interest Graphs to Predict Rich-Media Diffusion in Content-Based Online Social Networks

Using Interest Graphs to Predict Rich-Media Diffusion in Content-Based Online Social Networks

Business Intelligence and Its Role in Organizational Agility

Uma análise cienciométrica da literatura de inteligência competitiva

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Business Intelligence: An Analysis of the Literature¹