一个比较新兴市场企业销售和经营绩效的决策框架

S. Biswas, Gautam Bandyopadhyay, D. Pamučar, Aparajita Sanyal
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引用次数: 3

摘要

销售和运营计划将市场上客户的需求(与新的和/或现有的产品和服务相关)转化为可操作的战术计划,以推动组织价值链的活动。本研究旨在提供一个多时期、多视角的评估框架,以比较新兴市场企业的销售和运营绩效(SOP)。SOP是描述销售和运营计划的效率和有效性的一线kpi之一。在现有的文献中,很少有定义明确的指标来衡量SOP。目前的工作填补了文献中的空白,开发了一个混合多标准决策(MCDM)框架,利用对数百分比变化驱动的目标加权(LOPCOW)和基于平均解决方案距离的评估(EDAS)模型,用于评估SOP的新应用。从数据分析来看,这些公司的年度排名也明显存在差异。然而,所有单独的年度排名与总体排名保持统计学上显著的相关性。出于聚合目的,使用Borda计数法。ITC有限公司、印度斯坦联合利华有限公司、Avanti饲料有限公司、Britannia工业有限公司和Symphony有限公司等公司总共占据前五名。与其他MCDM模型进行了比较,并进行了敏感性分析。本研究首次鼓励分析人员和决策者用科学的方法对销售和经营绩效进行评估。
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A decision making framework for comparing sales and operational performance of firms in emerging market
Sales and operations planning translates the requirements of the customers at the market place (related to new and/or existing products and services) into actionable tactical plans to drive the activities of the value chain of the organization. The present work aims to provide a multi-period and multi-perspective evaluation framework to compare the sales and operational performance (SOP) of firms in an emerging market. SOP is one of the frontline KPIs that describes the efficiency and effectiveness of the sales and operations planning. There is a scantiness in the extant literature about well-defined indicators to measure SOP. The current work fills the gap in the literature by developing a hybrid multi-criteria decision making (MCDM) framework utilizing the Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) and Evaluation based on Distance from Average Solution (EDAS) models for a novel application in assessing SOP. From the data analysis, it is also evident that there is a variations in the year wise ranking of the companies. However, all individual year wise rankings maintain statistically significant correlations with the aggregated ranking. For aggregation purpose, Borda Count Method is used. The companies like ITC Limited, Hindustan Unilever Ltd., Avanti Feeds Ltd., Britannia Industries Ltd., and Symphony Ltd. hold the top five positions on aggregate. The comparison with other MCDM models is made and sensitivity analysis is carried out. The present work is a first of its kind that would encourage the analysts and the policy makers to evaluate the sales and operational performance using a scientific way.
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