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Business Plan Analysis Using Multi-Index Methodology: Expectations of Return and Perceived Risks

机译:使用多指标方法的业务计划分析:回报和感知风险的期望

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This article aims to show that business plan risks are clearer and more consistent, compared with classical methodology, when evaluated through the multi-index methodology. To do so, it is necessary to identify the expectations of return and perceived risks in evaluating a business plan. To explain the above statement, we used a case example of a manufacturing unit of purses made of tilapia leather in the city of Campo Mour?o, Paraná State, Brazil. Relevant information was collected through documenting research and semi-structured interviews, which were conducted in 2016 and 2017. The adoption of the cost leadership strategy, practicable due to the presence of local production arrangements, proved crucial to this project’s viability. Following this strategy, the demand, initial investments, production costs, and selling price were estimated. The multi-index methodology was used for the generation and analysis of the return indicators vis-à-vis the perceived risks. The multi-index methodology perceptual map signals a medium/high return (return on investment assets = 23.71% per year) and that the perceived risks are compatible with profit expectations. The sensitivity analysis of the results, using the Monte Carlo method, shows that P(net present value ≤ 0) ≈ 0.0002, thus corroborating the decision to invest in this business. This article contributes to the literature on the use of existing productive arrangements in various stages of the production and marketing process and the use of an analysis methodology that leads decision-makers to specify the risks associated with their decision.
机译:本文旨在表明,在通过多指数方法的评估时,与经典方法相比,业务计划风险更清晰,更加一致。为此,有必要确定评估业务计划中的回报和感知风险的期望。为了解释上述声明,我们使用了由Campo City Campo Card的Tilapia皮革制造单元的案例示例哀悼?O,Paranátation,巴西。通过记录研究和半结构化访谈收集了相关信息,该访谈是在2016年和2017年进行的。通过当地生产安排的存在而采用成本领导战略,可行的可行性,证明对该项目的可行性至关重要。在此策略之后,估计需求,初始投资,生产成本和销售价格。多索引方法用于发电和分析返回指标Vis-is-is令人感知的风险。多索引方法感知地图标志着媒体/高回报(投资资产回报率=每年23.71%),并且感知风险与利润预期兼容。结果的敏感性分析,使用蒙特卡罗方法,显示P(净值≤0)≈0.0002,从而证实了投资这一业务的决定。本文有助于在生产和营销过程的各个阶段使用现有生产性安排以及使用分析方法,这些方法导致决策者指定与其决定相关的风险。

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