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首页> 外文期刊>African Journal of Business Management >Linking business intelligence to a knowledge-based sustainable competitive advantage in organizations
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Linking business intelligence to a knowledge-based sustainable competitive advantage in organizations

机译：将商业智能与组织中基于知识的可持续竞争优势联系起来

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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.
机译：这项研究着眼于组织在商业智能中使用情感分析和观点挖掘来发展和维持竞争优势。它讨论了诸如组织结构，商业智能，知识管理和观点挖掘等变量，这些变量是一些竞争优势的来源。本研究的方法基于实证主义范式。使用了调查研究策略，并使用了问卷调查表来收集样本数据。分析显示，与知识管理（KM）和商业智能（BI）有关的变量可用于解释可持续竞争优势（CA）。回归模型表明，与KM和BI有关的替代变量可以用来解释CA。考虑到样本，样本的大小以及进行研究的背景，OM无关紧要。这一发现可能与文献相矛盾，这表明OM可能并没有为可持续的竞争优势做出贡献。但是，在更仔细的研究中，代表可持续竞争优势的依存结构的替代变量直接“表达”了OM的作用，而OM的过程则利用了将KM和BI整合在一起以维持竞争优势的观点。因此，虽然回归模型将OM描述为在CA中无关紧要，但用于表示因变量的重要替代变量却特别体现了OM的重要性。 OM作为一个独立变量而被否定，但它却成为将BI和KM与可持续CA相联系的“粘合剂”。

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