Predicting of the performance of franchise industry using Grey models - case study in United States

Thuy-Mai-Trinh Nguyen, J. Day, Chia-Nan Wang, Hoang-Sa Dang
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引用次数: 3

Abstract

Along with the globalization of business, the opportunities and challenges in franchise business are increased. In order to ensure that the franchise industry grows stably, it has been always an important topic to forecast the franchise performance accurately. Thus, this study aims at utilizing Grey prediction as an analyze methodology to estimate the performance of US's franchise industry in order to understand the growth of the franchise industry in the near future The result revealed, the performance of US's franchise section will increase significantly year-on-year. Among that, revenue of business services franchises will be expected to reach 1,177 billion dollars in 2021. In addition, round of 817,986 franchise establishments will be expected to operate which will attract about 10 million employees in the franchise sector in 2021. This research can help investors to have a good overview of the franchise business in US in particular and in the global market in general.
运用灰色模型预测特许经营行业绩效——以美国为例
随着商业的全球化,特许经营的机遇和挑战也在增加。为了保证特许经营行业的稳定发展,对特许经营业绩进行准确的预测一直是一个重要的课题。因此,本研究旨在利用灰色预测作为分析方法来估计美国特许经营行业的表现,以了解特许经营行业在不久的将来的增长情况,结果显示,美国特许经营部门的业绩将同比大幅增长。其中,商业服务特许经营收入预计将在2021年达到1.177万亿美元。此外,预计2021年将有817,986家特许经营机构运营,这将吸引约1000万名特许经营部门的员工。这项研究可以帮助投资者对特许经营业务有一个很好的概述,特别是在美国和全球市场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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