Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/14534
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dc.contributor.advisorLycett, M-
dc.contributor.advisorDe Cesare, S-
dc.contributor.authorSwedi, Ahmed N-
dc.date.accessioned2017-05-10T13:52:52Z-
dc.date.available2017-05-10T13:52:52Z-
dc.date.issued2016-
dc.identifier.citationBrunel University Londonen_US
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/14534-
dc.descriptionThis thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University Londonen_US
dc.description.abstractThis study aims to investigate the naturalistic decision-making role of business intelligence (BI) in the oil and gas (O&G) industry. O&G organisations spend a lot of time, effort and resources in maximising their operations to gain a competitive advantage. With the introduction of technological solutions, BI provides organisations with the ability to collect, sort, analyse and transform data into timely intelligence. However, the industry is characteristically competitive, difficult to predict and continuously changing with decision-makers sometimes faced with naturalistic decisions necessitating quick decisions under pressure, strict timeframes and with incomplete data. Literature on the role BI in the O&G industry has been minimal, with the focus being on how BI is used to assist rational decision-making. This study relies on data collected from two O&G organisations operating in different streams of the industry. Using a dynamic model of situated cognition, this study employs an interpretive, qualitative approach to data analysis in an attempt to fill the gap in the literature and determine whether BI plays any role in facilitating the decision-making process in response to naturalistic decisions. A dynamic model of situated cognition has been employed because of its strong correlation with naturalistic decision-making (NDM). The findings of this study indicate that different naturalistic decisions exist in the two streams of the industry and these decisions vary in their levels of complexity and domains. Furthermore, the findings show that while BI plays a major role NDM, this role is mitigated by the cognitive capabilities of individual decision-makers and their areas of expertise.en_US
dc.language.isoenen_US
dc.relation.urihttp://bura.brunel.ac.uk/bitstream/2438/14534/1/FulltextThesis.pdf%20-
dc.subjectBIen_US
dc.subjectNDMen_US
dc.subjectBusiness information technologyen_US
dc.subjectSituational awarenessen_US
dc.subjectCognitive mappingen_US
dc.titleInvestigating the naturalistic decision making role of business intelligence in the oil and gas industryen_US
dc.title.alternativeNaturalistic decision making and business intelligence in oil & gasen_US
dc.typeThesisen_US
Appears in Collections:Computer Science
Dept of Computer Science Theses



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