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An Investigation into the Relationship of Strategic Planning Practices and Organizational Performance Using Advanced Data Mining Techniques

机译:利用先进数据挖掘技术对战略规划实践与组织绩效关系的调查

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This paper presents an investigation of the strategic planning practices of small businesses in Rotorua. The Rotorua district has a population of around 70,000 residents, located in the heart of New Zealand's North Island. Tourism is Rotorua's largest employer contributing around $593 million per year, or 10% of the district's economy. The strong link between planning and performance is understood for larger organisations but less so for small and medium sized firms. This study explores the degree of strategic planning undertaken by Rotorua-based businesses. A combination of quantitative and qualitative data collection via a structured questionnaire and a semi-structured interview, comprised the research methodology. Collected data was analyzed using advanced machine learning (classification) techniques. Findings suggest, a firm's industry sector influences the degree of formal planning. Other factors that influence the degree of planning formality include the age of the business, annual revenue, and the number of employees. More significantly, this study observes that formal business training and an age of a business are two features responsible for separating more formal planners from less formal planners.
机译:本文介绍了罗托鲁瓦战略规划实践的调查。罗托鲁瓦区的人口约为70,000名居民,位于新西兰北岛的中心地带。旅游业是罗托鲁瓦最大的雇主,每年占5.93亿美元,或区的10%的经济。规划和性能之间的强烈联系被较大的组织理解,但小型和中型公司的规模较少。本研究探讨了罗托鲁瓦业务开展的战略规划程度。通过结构化问卷和半结构化访谈的定量和定性数据收集的组合包括研究方法。使用先进的机器学习(分类)技术进行分析收集的数据。调查结果表明,公司的行业部门会影响正式规划程度。影响规划程度的其他因素包括业务的年龄,年度收入和员工人数。更重要的是,本研究观察到正式的商业培训和业务的年龄是两项特色,负责将更多正式规划者与不太正式规划者分开。

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