Pervasive business intelligence as a competitive advantage

Guarda, Teresa; Pinto, Filipe; Cordova, Juan Pablo; Mato, Fernando; Quina, Geovanni Ninahualpa; Augusto, Maria Fernanda

doi:10.1109/cisti.2016.7521569

Cited by 8 publications

(6 citation statements)

References 18 publications

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“…These can be decisions as they relate to improvement of the internal processes about the day-to-day running of the business or decisions relating to the direction that the business has to take in order to remain competitive and increase profits and revenues for its shareholders (Fuchs et al , 2014). It is for this reason that businesses that have adopted a BI system tend to have more competitive advantages than those without a BI system (Guarda et al , 2013). The next section looks at some environmental analysis models that can be used alongside BI to better understand the business environment within which tourism firms operate.…”

Section: Bi Use In Tourism For High Competitivenessmentioning

confidence: 99%

Enhancing competitiveness in the tourism industry through the use of business intelligence: a literature review

Nyanga

Pansiri

Chatibura

2019

JTF

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Purpose The purpose of this paper is to demonstrate the relevance of business intelligence (BI) in businesses in general and tourism firms in particular. BI has been hailed as an innovation that can propel businesses that adopt the system to high productivity and efficiency. This paper confirms that view but further adds that BI also enhances a business’s competitiveness. Design/methodology/approach This paper reviews literature on the use of BI in tourism. Although current literature is largely fragmented, focusing on BI, the tourism industry and the notion of competitiveness separately, this paper makes an attempt to bring the three sub-themes in the same study and highlights their interconnectedness. The study adopts two environmental analysis models to better analyze this matter. First is the environmental analysis model as based on Downes’s modification of Porter’s five forces framework. The second model used is the resource-based view approach to business environmental analysis. Findings This paper affirms that the tourism industry is one of those industries that continue to benefit from the advantages that come with the adoption of a BI system. Literature shows that the tourism industry was one of those that first adopted BI in order to benefit from the benefits that come with its adoption. Such advantages include flexible and user friendly tourists’ data capture, storage, retrieval, processing and analytical capabilities. Research limitations/implications This was a largely literature review-based study. There is, therefore, room for strengthening its findings by conducting field work and mixed methods research for more robust results. Practical implications This study will surely benefit the tourism industry and business in general from its highly favorable conclusions to the benefits that come with the adoption of a BI system. It can also be used as a reference in to the tourism field, especially aggregating important concepts and literature that can help future practical studies. Social implications Society will also benefit from this study in terms of the new knowledge that has been generated. Members of society will then be in a position to demand products and services that are a result of innovation and informed decision making. Originality/value Although this paper is largely based on literature, the conclusions reached are those of the authors. A close assessment of the literature in BI and the tourism industry was done, resulting in the conclusions reached by the authors.

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Section: Bi Use In Tourism For High Competitivenessmentioning

confidence: 99%

Enhancing competitiveness in the tourism industry through the use of business intelligence: a literature review

Nyanga

Pansiri

Chatibura

2019

JTF

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“…Neste sentido, as ferramentas do Business Intelligence (BI) ampliam a função dos sistemas de informação fornecendo uma visão sistêmica do negócio e ajudam na distribuição uniforme dos dados entre os usuários, ou seja, transformam grandes quantidades de dados em informações de qualidade para a tomada de decisões (Barbieri, 2011). Guarda et al (2016) acrescentam que as ferramentas do BI deverão oferecer além das informações internas da organização, informações estratégicas de mercado que são essenciais para o sucesso do negócio.…”

Section: Ferramentas De Biunclassified

“…Os autores afirmam ainda que tais informações são levantadas junto à equipe de gestão da organização e complementam ao dizer que "faz-se necessário que os gestores forneçam informações corretas e alinhadas aos objetivos estratégicos a fim de facilitar os ajustes necessários e permitir a implantação e aplicação do BI para obtenção do sucesso" (Silva, Silva & Gomes, 2016, p. 2795. Guarda et al (2016) (Affeldt et al 2006;Reginato & Nascimento, 2007). Bezerra e Siebra (2015) também observaram que para a implantação de um BI é importante um planejamento adequado de acordo com os objetivos da organização.…”

Section: * * * 1 Introduçãounclassified

Implantação do Business Intelligence (BI) em um Grupo de Concessionárias do Interior de Minas Gerais

Queiroz

Costa

2021

MiP

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Dentre as aplicações tecnológicas que tratam o grande volume de informações para tomada de decisão, destaca-se o uso do Business Intelligence (BI), o qual permite a identificação de padrões de comportamento e ocorrências de eventos que agregam valor e conhecimento para as empresas. Entretanto, para que o BI possa proporcionar tais benefícios, o alinhamento entre a Tecnologia da Informação (TI) e o negócio é fundamental para o sucesso da implantação dessa ferramenta. Neste contexto, o presente estudo tem por objetivo apresentar a implantação do sistema BI em uma concessionária de veículos no interior de Minas Gerais a partir do diagnóstico do nível de alinhamento entre a TI e o negócio. Como metodologia foi realizada uma pesquisa descritiva, aplicada com abordagem mista. Para o diagnóstico do nível de alinhamento foi utilizada a metodologia de Lima (2008) por meio de questionários. Nas etapas posteriores da implantação do BI na organização foi utilizada a metodologia de Bezerra e Siebra (2015). Os resultados do estudo demonstram que a aplicação do modelo de diagnóstico do nível de alinhamento entre a TI e o negócio possibilitou a identificação de oportunidades de melhoria que promoveu a implantação do BI, cuja contribuição é a evidenciação de um caso de sua implantação em empresas do ramo de concessionárias de veículos do interior de Minas Gerais.

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“…Specifically, BI helps to facilitate access to information and actionable insights in the form of visualizations [2]. The implications of BI extend far and wide, catalyzing business growth [3] and, notably, as a linchpin of competitive advantage [4]. Numerous advantages such as agility, creating innovative products and services [5], and placing competitive advantages in B2B, B2C, or B2B2C [6].…”

Section: Introductionmentioning

confidence: 99%

Factors driving business intelligence adoption: an extended technology-organization-environment framework

Subramaniam,

Palakeel,

Arunmozhi

et al. 2024

IJEECS

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Business intelligence (BI) is a vital component for businesses of all scales, offering actionable insights crucial for timely decision-making. This technology has become integral across diverse enterprises. Recognizing the factors influencing BI adoption is imperative, and this article employs the organization, complexity, knowledge, technology, user perception and experience, economic, environmental, and social (OCKTUEES) framework to identify key aspects. Building upon the TOE framework, it pinpoints significant variables, emphasizing the importance of factors like user perception and experience, technology, social, economical, and environmental. Employing structural equation modelling on primary data yields actionable insights to address BI adoption challenges. Analysis reveals the user perception and experience, technology, social, economic, and environmental as the top factors. However, the organization appears vulnerable, necessitating a mitigation strategy for successful BI adoption. The study predicts insignificant variables requiring mitigation, such as high costs, inadequate resources, organizational size, security and privacy concerns, risk of open-source adoption, and perception of analytics impacting jobs. This research aids those navigating the BI implementation journey.

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Pervasive business intelligence as a competitive advantage

Cited by 8 publications

References 18 publications

Enhancing competitiveness in the tourism industry through the use of business intelligence: a literature review

Enhancing competitiveness in the tourism industry through the use of business intelligence: a literature review

Implantação do Business Intelligence (BI) em um Grupo de Concessionárias do Interior de Minas Gerais

Factors driving business intelligence adoption: an extended technology-organization-environment framework

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