区块链技术与供应链信息管理的结合是数字化供应链发展变革的趋势,其研究逐步受到各界关注。本研究对Web of Science中基于区块链的供应链信息管理的文献进行了主题演化分析和关键词聚类分析,提出了研究框架,并从复杂社会技术系统视角探究了通过区块链技术数智赋能供应链信息管理的路径。通过知识共享、信息溯源、信任建立的方式,区块链技术将社会系统中的物资流通、商业流通、信息流通、资金流通与技术系统各层级信息进行交错相联并相互验证,从而赋能物流安全可视化、商流透明可溯化、信息流共享不可篡改、资金流可信匿名化。同时从管理挑战和应用行业方面分析了区块链技术下供应链信息管理实践,并展望了未来研究。本研究从技术系统和社会系统的层面,探究了区块链技术赋能信息管理的变革,复杂社会技术系统视角下的信息管理思考将为供应链数字化转型发展提供启示。
The adaptive neural fuzzy inference system （ANFIS） is used to make a ease study considering features of complex social-technical system with the target of increasing organizational efficiency of public scientific research institutions. An integrated ANFIS model is built and the effectiveness of the model is verified by means of investigation data and their processing results. The model merges the learning mechanism of neural network and the language inference ability of fuzzy system, and thereby remedies the defects of neural network and fuzzy logic system. Result of this case study shows that the model is suitable for complicated socio-technical systems and has bright application perspective to solve such problems of prediction, evaluation and policy-making in managerial fields.
