A Study on the Prediction of Demand for Sustainable Growth of “National Physical Fitness 100” Policy in Korea

S. Shin, S. Jang
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Abstract

The purpose of this study is to secure basic data for forecasting demand for new sports public services and to provide basic data on policy strategies for introducing new sports public services. This is achieved by predicting demand for the project using the Bass model, exponential smoothing method, and qualitative Delphi method. First, analysis of the demand for “National Physical Fitness 100” from the Bass model showed that the innovation coefficient was relatively low (0.029) compared to other physical fitness centers and that the initial service spread rate was slow. However, it was found that the imitation coefficient (0.332) was relatively high, the q/p value (11.45) was large, and that demand gradually increased. Secondly, the demand forecast based on the exponential smoothing method appeared more rapidly than in the Bass model. This is because the exponential smoothing method determines an exponential smoothing coefficient, which is an inclination value of the regression line, by the rate of change of existing data. Therefore, stable demand based on the exponential smoothing coefficient can be predicted and used as a basis for the initial demand forecast. Finally, the result predicted by the National Physical Fitness 100 expert Delphi method increased significantly in 2020 but has since become a gentle straight line. This can be interpreted as an expectation for an infrastructure expansion plan such as human resources and facilities, as the national physical fitness budget for 100 operations was to increase in 2020. The Bass model, the exponential smoothing method, and the Delphi method used in the research can thus confirm how the forecast results of the demand for National Physical Fitness 100 are spread by period. This can contribute to the policy decision-making process for efficient government budget management and effectively meeting social needs, as demand by period can be predicted over time from the point of introduction of the service.
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韩国“国民体质100”政策可持续增长需求预测研究
本研究的目的是为预测新型体育公共服务的需求提供基础数据,并为引入新型体育公共服务提供政策策略的基础数据。这是通过使用Bass模型、指数平滑法和定性德尔菲法预测项目需求来实现的。首先,通过Bass模型对“全民健身100”的需求分析发现,与其他健身中心相比,创新系数相对较低(0.029),初始服务传播速度较慢。然而,我们发现,模仿系数(0.332)较高,q/p值(11.45)较大,需求逐渐增加。其次,与Bass模型相比,基于指数平滑法的需求预测出现速度更快。这是因为指数平滑法通过现有数据的变化率来确定指数平滑系数,即回归线的倾角值。因此,基于指数平滑系数的稳定需求可以预测,并作为初始需求预测的基础。最后,全国体质100强专家德尔菲法预测的结果在2020年出现了明显的增长,但此后就变成了一条平缓的直线。这可以解释为,2020年将增加100个事业的国民体质预算,这是对人力、设施等基础设施扩大计划的期待。因此,研究中使用的Bass模型、指数平滑法和德尔菲法可以确定国民体质100需求的预测结果是如何按时期传播的。这有助于有效的政府预算管理和有效地满足社会需求的政策决策过程,因为可以从引入服务的角度预测各时期的需求。
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