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In this study I investigate the organizational strategies that Chinese power generation companies may use to reduce the impact of coal price increases on their profits. Organizations are open systems in that no organization possesses all the resources that it needs and all organizations must obtain resources from their external

In this study I investigate the organizational strategies that Chinese power generation companies may use to reduce the impact of coal price increases on their profits. Organizations are open systems in that no organization possesses all the resources that it needs and all organizations must obtain resources from their external environments in order to survive. Resource dependent theory suggests that the most important goal of an organization is to find effective mechanisms to cope with its dependence on the external environments for resources that are critical to its survival. Chinese power generation companies traditionally rely heavily on coal as their raw materials, and an increase in coal price can have a significant negative impact on their profits. To address this issue, I first provide a systematic review of the resource dependence theory and research, with a focus on the strategies such as vertical integration, diversification, and hedging that organizations can undertake to reduce their dependence on the external environment as well as their respective benefits and costs. Next, I conduct a qualitative case analysis of the primary strategies the largest Chinese power generation companies have used to reduce their dependence on coal. I then explore a new approach that Chinese power generation companies may use to cope with increases in coal price, namely, by investing in an index of coal companies in the stock market. My regression analysis shows that coal price has a strong positive relation with the price of the coal company index. This finding suggests that it is possible for firms to reduce the negative impact of raw material price increase on their profits by investing in a stock market index of the companies that supply the raw materials that they depend on.
ContributorsSun, Min (Author) / Shen, Wei (Thesis advisor) / Liu, Jun (Committee member) / Pei, Ker-Wei (Committee member) / Arizona State University (Publisher)
Created2015
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2019年中国车市增速明显放缓,目前已从中高速转入负增长,客户自然进店越来越少。如何抢占2020销售先机,修炼内功,那必须要想出措施维持销量,从而保住销售业务盈利。截止到2019年6月,中国互联网网民数量已经超过8.5亿人。其中,使用手机上网的群体占比高达99.1%。互联网的快速发展,改变了人们的生活习惯,使生活变得更便捷。购车过程也是如此,客户不是先去展厅,而是通过互联网去了解产品信息,数字营销业务已经成为4S店销售发力的重点,在数字营销部门电销专员在其中起到了承上启下的关键性作用,电销专员的业绩是衡量电销专员作战能力的核心指标,所以对于电销专员岗位业绩归因的研究分析至关重要。

所以本论文将从宏观背景、终端经销商实际调研数据分析两个不同的角度,进行综合性研究。将 “人员选拔”、“能力指标”、“岗位绩效”、“岗位辅导”作为4大自变量,对于因变量“电销专员业绩”的强弱相关性的影响分析,并分析“岗位辅导”与其他三大自变量对于因变量“电销专员业绩”的交互影响,从而建立起终端对于电销专员的最优人员模型。

关键词:互联网,汽车行业,数字营销,电销专员,业绩归因

ContributorsWu, Jun` (Author) / Shen, Wei (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Sun, Tianshu (Committee member) / Arizona State University (Publisher)
Created2020