有效供应链关系行为属性的情感分析:一种模糊目标设定方法

Q3 Business, Management and Accounting
M. F. Shipley, R. Cao, R. McKee
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引用次数: 0

摘要

通过社交媒体表达的情感可以反映供应链管理(SCM)关系中参与者之间或参与者之间的信任、承诺、协作和信息共享的行为属性。如果这四个属性都处于较高的水平,则通常认为它们可以增强SCM的性能。在这项研究中,使用三种不同的网络爬虫算法进行情感挖掘,重点关注博客,论坛和Twitter来源。在对挖掘的情感数据进行分类后,使用模糊模型来评估得分,以解决不确定性和模糊性。每个属性和属性组合的最小拟合度由制药、软件、零售和医疗保健行业决定。结果表明,在所研究的行业中,供应链管理关系中必要的行为属性的相互作用水平的重要性是不同的。然而,总的来说,最重要的因素似乎是参与者之间的信任。这项工作通过利用技术来关注决策的人的属性,从而提高供应链管理的绩效,从而有助于供应链管理的研究;专门针对所研究的行业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sentiment analysis of behavioural attributes for effective supply chain relationships: a fuzzy goal-setting approach
Sentiments expressed through social media can reflect behavioural attributes of trust, commitment, collaboration, and information sharing between or among actors in supply chain management (SCM) relationships. These four attributes are generally considered to enhance SCM performance if each is at a high level. In this study, sentiment mining was undertaken using three different web crawler algorithms focusing on blog, forum, and Twitter sources. After classifying the mined sentiment data, scores were evaluated using a fuzzy model to address uncertainty and ambiguity. The least degree of fit of each attribute and combination of attributes was determined by industry for pharmaceuticals, software, retailing, and healthcare. Results indicate that the importance attributed to levels of interactions for the behavioural attributes necessitated in SCM relationships differs for the industries studied. However, overall, the most consequential attribute seems to be trust between the individuals involved. This work contributes to SCM research through the utilisation of techniques to focus on human attributes for decision making that may improve SCM performance; specifically for the industries studied.
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来源期刊
International Journal of Business Performance and Supply Chain Modelling
International Journal of Business Performance and Supply Chain Modelling Business, Management and Accounting-Business and International Management
CiteScore
2.00
自引率
0.00%
发文量
22
期刊介绍: IJBPSCM covers original, high-quality and cutting-edge research on all aspects of supply chain modelling, aiming at bridging the gap between theory and practice with applications analysing the real situation to improve business performance. Topics covered include Business performance modelling, strategy Vendor/supplier selection, supplier development, purchasing management Supply chain management (SCM), green supply chain modelling Reverse logistics, closed loop/knowledge-based supply chains, 3PL/4PL Sustainable/quality based/agile/leagile/intelligent SCM Supply chain performance/optimisation/risk/decision making/support systems AI, information sharing in SCM, systems approach to SCM Coordinated/global/flexible SCM, risk mitigation strategies Stochastic supply chain games IT-enabled SCM, fuzzy modelling, data mining Supply chain network management, modelling/simulation, implementation Training/education, information security, RFID Supply chain analysis, transportation decisions, vehicle routing, bullwhip effect Logistics in disaster management Cross-country comparison.
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