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Using social work donation as a tool of corporate social responsibility in a closed-loop supply chain considering carbon emissions tax and demand uncertainty

机译:考虑碳排放税和需求不确定性,在闭环供应链中使用社会工作捐赠作为企业社会责任的工具

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摘要

Companies are increasingly realizing the benefits of adopting Corporate Social Responsibility (CSR) and including it into their supply chain strategy and operations. We consider two CSR tools: social work donation (SWD) and recycling investment. We integrate the CSR investments into a closed loop supply chain where the stochastic demand depends on the sales price and social work donation. We consider four decisions jointly: donation amount, recycling investment, pricing, and order quantity. Mathematical models are proposed for expected profit maximization under a carbon emissions tax. A two-stage approach and a distribution-free approach are used if limited information is available on the random demand. Optimality conditions and sensitivity of the expected profit functions are analysed. The investment function reflects the joint effect of two different environmental/social investments allowing to study the interactions of the decisions together with the price decision. The study reveals that a company is motivated to use SWD as a tool of social responsibility if the demand has a higher SWD elasticity parameter than price sensitivity parameter. Our models demonstrate that the increment of customers' SWD elasticity has a positive impact on recycling that will also help to reduce the carbon emission tax.
机译:公司越来越多地实现了采用企业社会责任(CSR)并将其纳入供应链战略和运营的好处。我们考虑两个CSR工具:社会工作捐赠(SWD)和回收投资。我们将CSR投资整合到闭环供应链中,随机需求取决于销售价格和社会工作捐赠。我们共同考虑四项决策:捐赠金额,回收投资,定价和订单数量。在碳排放税下提出了数学模型,以预期的利润最大化。如果有限的信息在随机需求上可用,则使用两阶段方法和可分布的方法。分析了预期利润职能的最优性条件和敏感性。投资职能反映了两种不同环境/社会投资的联合效力,允许与价格决定一起研究决定的相互作用。该研究表明,如果需求具有比价格敏感参数更高的SWD弹性参数,该公司有动力使用SWD作为社会责任的工具。我们的模特表明,客户的SWD弹性增量对回收产生积极影响,这也将有助于降低碳排放税。

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