A perspective on applications of in-memory analytics in supply chain management

作     者：Hahn, G. J. Packowski, J. 

作者机构：Univ Mannheim CAMELOT Management Consultants Endowed Assistant Sch Business Mannheim Germany CAMELOT Management Consultants AG Mannheim Germany 

出 版 物：《DECISION SUPPORT SYSTEMS》 (决策支持系统)

年 卷 期：2015年第76卷

页      面：45-52页

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Business analytics In-memory database systems Supply chain management Advanced planning Business intelligence 

摘      要：Big data, advanced analytics, and in-memory database technology are on the agenda of top management since they are seen as key enablers for enhanced business decision-making. In this paper, we provide a comprehensive perspective on applications of in-memory analytics in the field of supply chain management (SCM) that use the aforementioned concepts. Our contribution is threefold: First, we develop a top-down framework to position in-memory analytics applications against extant IT systems in SCM. Second, we conduct a bottom-up categorization of 41 in-memory analytics applications in SCM to provide supporting empirical evidence of the efficacy of the framework. Third, by contrasting top-down and bottom-up perspectives we derive implications for research and industrial practice. (C) 2015 Elsevier B.V. All rights reserved.