From the Perspective of Emotional Labor and Work Pressure, This Paper Discusses How Joint Ordering Strategy Can Improve the Psychological Safety of Supply Chain Members

Abstract

Background It is of great economic significance to optimize the total cost of supply chain and improve the performance of supply chain. Information sharing can improve supply chain performance. A probabilistic demand system with one seller and one buyer studied by scholars can find that compared with the traditional decentralized system, the quantity coordination strategy can improve the performance of the supply chain. However, supply chain members are reluctant to provide private cost information because their customers may abuse this information, which will seriously affect their psychological security of privacy protection. The application of secure multiparty computing (SMC) is a possible way to solve these problems. SMC provides a framework for computing partners to make decisions to achieve global goals while protecting the privacy of any party's private information. Only a few literatures have discussed the application of SMC in supply chain collaboration. When applying SMC protocol to the joint ordering strategy with quantity discount under Probabilistic demand, the inventory problem has not been studied. Especially in terms of the actual indicators of emotional labor and work stress, no research has been carried out. Subjects and Methods Firstly, we analyze the optimal order quantity under Probabilistic demand, the optimal joint order quantity under Probabilistic demand, profit distribution and quantity discount design. Then, based on the SMC protocol, a joint ordering strategy under Probabilistic demand is proposed, and the corresponding privacy protection quantity discount of the joint ordering strategy without intermediary is given. In this regard, we give the numerical simulation of joint ordering and the numerical simulation of privacy protection joint ordering strategy and its quantity discount design. Last, Using the revised Lin Shangping's “organization's emotional labor burden scale” and “Minnesota Satisfaction Scale (MSQ), the study distributed 200 questionnaires to the subjects and recovered 196. The sample structure distribution is that men account for 51.7%, the lowest proportion under the age of 25 (2.5%), and the highest proportion over the age of 36 (62.6%) The proportion is the highest, accounting for 64.0%. In terms of service years, the proportion of 1-3 years is the lowest, accounting for 4.4%, and the proportion of more than 7 years is the highest, accounting for 84.2%. The total correlation coefficient and total reliability of the modified items were analyzed to delete the items without internal consistency in the questionnaire, so as to improve the reliability of the questionnaire and the quality of measurement tools. Results The privacy protection joint ordering strategy based on the probabilistic demand of SMC protocol can be implemented under the condition of any private (cost and capacity) information retention, which can be realized without mediation. The numerical simulation results of joint ordering show that joint ordering can reduce the total cost of supply chain. Through quantity discount design, the cost of each participant in the supply chain can be reduced to varying degrees. In terms of emotional labor, it has a positive and significant impact on job satisfaction, because appropriate emotional labor helps to reduce work pressure and naturally improve psychological safety. Conclusion SMC protocol gives the privacy protection joint ordering strategy under Probabilistic demand, and determines the privacy protection quantity discount of the joint ordering strategy under Probabilistic demand. The numerical simulation results of joint ordering show that joint ordering can reduce the total cost of supply chain. Through quantity discount design, the cost of each participant in the supply chain can be reduced to varying degrees. The above privacy protection agreement can be realized without the help of intermediaries. The buyer and the seller can obtain the optimal joint order quantity while protecting their own privacy information, which helps to improve the psychological security of supply chain members, and realize efficient operation and win-win of the supply chain. In the future, we will consider the existence of more buyers or multi-layer supply chain structure, and deduce the corresponding privacy protection algorithm. Acknowledgements Supported by a project grant from Zhejiang Philosophy and Social Sciences Foundation (Grant No.19NDJC145YB), and a project grant from National Natural Science Foundation of China (Grant No. 71203161), and a project grant from National Social Science Foundation of China (Grant No. 17BGL132).