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The influence of information processing needs on the continuous use of business intelligence

机译:信息处理需求对持续使用商业智能的影响

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Many organizations implement business intelligence systems, but their long-term impact on the quality of decision making and consequent performance varies a lot. An analysis of the factors influencing the continued use of those systems is called for. We focus on the role of information processing needs in the continuous use of business intelligence and the factors that influence those needs. A longitudinal mixed method case study of a North American oil company was conducted. The researchers collaborated on developing the company’s business intelligence capabilities over three years and made direct observations during this period. Several data collection methods were used, such as reviewing internal documentation, conducting interviews and surveys. Implementation of business intelligence tools leads to a high level of initial use of these systems. However, after a decrease in processing needs following changes in leadership, the levels of use dropped significantly. This eventually led to the erosion of processing capabilities in both information technology systems and organizational capabilities. Business intelligence oriented needs differ from transactional or workflow needs in that they are not built into processes or systems and are often optional, driven by management and personal work methods. Thus a deliberate effort is needed to ensure a permanent increase in processing needs in order to sustain long-term use and optimal impact of business intelligence. While technology enabled business intelligence can drastically enhance information processing capabilities, they do not necessarily have the same effect on information processing needs. A better understanding of how information processing needs will form and press the individual towards information-seeking behaviour is needed. This will enable not only improved business intelligence implementation, but also increased prospects for optimal business intelligence use in the long run.
机译:许多组织实施商业智能系统,但是它们对决策质量和随之而来的绩效的长期影响差异很大。需要对影响这些系统继续使用的因素进行分析。我们专注于信息处理需求在持续使用商业智能中的作用以及影响这些需求的因素。进行了一家北美石油公司的纵向混合方法案例研究。研究人员在三年中合作开发了公司的商务智能功能,并在此期间进行了直接观察。使用了多种数据收集方法,例如审查内部文档,进行访谈和调查。商业智能工具的实施导致对这些系统的高度初始使用。但是,由于领导层的变化而导致加工需求下降之后,使用量显着下降。这最终导致信息技术系统和组织能力中的处理能力受到侵蚀。面向商业智能的需求不同于事务或工作流需求,因为它们没有内置在流程或系统中,并且通常是可选的,由管理和个人工作方法驱动。因此,需要做出有力的努力来确保永久增加处理需求,以维持业务智能的长期使用和最佳影响。尽管启用了技术的商业智能可以大大增强信息处理能力,但它们不一定会对信息处理需求产生相同的影响。需要更好地理解信息处理需求的形成方式,并将个人压向寻求信息的行为。从长远来看,这不仅可以改善商业智能的实施,而且可以提高最佳商业智能使用的前景。

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