Abstract

The aim of this paper is to categorize and prioritize the critical risk factors that influence production-oriented projects. Utilizing data obtained from the metal production (manufacturing) and fabrication industry in United Arab Emirates, we employ multicriteria decision analysis encompassing the ‘Best-Worst Method’ (BWM) for factor ranking and categorization. The outcome of this exercise being the development of substantial proficiency in risk management that will have a significant impact on the overall success of projects commissioned within the production space. Findings drawn against an integrated ‘Technology–Organization–Environment’ and ‘Four levels of uncertainty’ framework suggests that ‘Automation,’ ‘Cycle time,’ and ‘Feed rate’ (technological factors), ‘Manpower utilization’ and ‘Agility’ (organizational factors), and ‘Occupational health and safety’ (environmental factors), ranked highest in terms of critical risk factors likely to impact upon the outcome of projects. This paper makes a specific contribution to the literature in that our use of an integrated ‘Technology–Organization–Environment’ – ‘Four levels of uncertainty’ framework as a risk intelligence focused typology allows us to focus on proactive as against reactive management of risk. This forms the core element of our theorization of risk knowledge as risk intelligence.

摘要

本文的目的是对影响生产型项目的关键风险因素进行分类和优先排序。利用从阿拉伯联合酋长国的金属生产（制造）和制造行业获得的数据，我们采用包含“最佳-最差方法”（BWM）的多标准决策分析来进行因素排名和分类。这项练习的结果是提高了风险管理的熟练程度，这将对生产领域内委托的项目的整体成功产生重大影响。根据综合的“技术-组织-环境”和“四个不确定性水平”框架得出的调查结果表明，“自动化”、 “在可能影响的关键风险因素中，“周期时间”和“进给率”（技术因素）、“人力利用率”和“敏捷性”（组织因素）以及“职业健康和安全” （环境因素）排名最高。根据项目的结果。本文对文献做出了具体贡献，因为我们使用集成的“技术-组织-环境” -“四个不确定性级别”框架作为以风险情报为中心的类型学，使我们能够专注于主动而不是被动风险管理。这构成了我们将风险知识理论化为风险情报的核心要素。