The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility An empirical investigation

被引:87
|
作者
Mandal, Santanu [1 ]
机构
[1] IBS Hyderabad, Dept Operat & Informat Technol, Hyderabad, India
关键词
Business process management; Supply chain management; Resource-based view; Business value of IT; PARTIAL LEAST-SQUARES; PREDICTIVE ANALYTICS; DYNAMIC CAPABILITIES; SCALE DEVELOPMENT; INFORMATION-TECHNOLOGY; RESILIENCE DEVELOPMENT; ORGANIZATION THEORY; DATA SCIENCE; PERFORMANCE; FIRM;
D O I
10.1108/ITP-11-2017-0386
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Purpose The importance of big data analytics (BDA) on the development of supply chain (SC) resilience is not clearly understood. To address this, the purpose of this paper is to explore the impact of BDA management capabilities, namely, BDA planning, BDA investment decision making, BDA coordination and BDA control on SC resilience dimensions, namely, SC preparedness, SC alertness and SC agility. Design/methodology/approach The study relied on perceptual measures to test the proposed associations. Using extant measures, the scales for all the constructs were contextualized based on expert feedback. Using online survey, 249 complete responses were collected and were analyzed using partial least squares in SmartPLS 2.0.M3. The study targeted professionals with sufficient experience in analytics in different industry sectors for survey participation. Findings Results indicate BDA planning, BDA coordination and BDA control are critical enablers of SC preparedness, SC alertness and SC agility. BDA investment decision making did not have any prominent influence on any of the SC resilience dimensions. Originality/value The study is important as it addresses the contribution of BDA capabilities on the development of SC resilience, an important gap in the extant literature.
引用
收藏
页码:297 / 318
页数:22
相关论文
共 50 条