科研成果详情

发表状态已发表Published
题名Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust
作者
发表日期2018
发表期刊International Journal of Logistics Management
ISSN/eISSN0957-4093
卷号29期号:2页码:485-512
摘要

Purpose: The purpose of this paper is to understand how big data and predictive analytics (BDPA), as an organizational capability, can improve both visibility and coordination in humanitarian supply chains. Design/methodology/approach: The authors conceptualize a research model grounded in contingent resource-based view where the authors propose that BDPA capabilities affect visibility and coordination under the moderating effect of swift trust. Using ordinary least squares regression, the authors test the hypotheses using survey data collected from informants at 205 international non-government organizations. Findings: The results indicate that BDPA has a significant influence on visibility and coordination. Further, the results suggest that swift trust does not have an amplifying effect on the relationships between BDPA and visibility and coordination. However, the mediation test suggests that swift trust acts as a mediating construct. Hence, the authors argue that swift trust is not the condition for improving coordination among the actors in humanitarian supply chains. Research limitations/implications: The major limitation of the study is that the authors have used cross-sectional survey data to test the research hypotheses. Following Guide and Ketokivi (2015), the authors present arguments on how to address the limitations of cross-sectional data or use of longitudinal data that can address common method bias or endogeneity-related problems. Practical implications: Managers can use this framework to understand: first, how organizational resources can be used to create BDPA, and second, how BDPA can help build swift trust and be used to improve visibility and coordination in the humanitarian supply chain. Originality/value: This is the first research that has empirically tested the anecdotal and conceptual evidence. The findings make notable contributions to existing humanitarian supply chain literature and may be useful to managers who are contemplating the use of BDPA to improve disaster-relief-related activities.

关键词Big data Confirmatory factor analysis Contingent resource-based view Coordination Humanitarian operations Humanitarian supply chain Information exchange Predictive analytics Regression analysis Resource-based view Supply chain management Swift trust
DOI10.1108/IJLM-02-2017-0039
URL查看来源
收录类别SSCI
语种英语English
WOS研究方向Business & Economics
WOS类目Management
WOS记录号WOS:000433898900002
Scopus入藏号2-s2.0-85047894904
引用统计
被引频次:150[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6909
专题个人在本单位外知识产出
通讯作者Dubey, Rameshwar
作者单位
1.Montpellier Business School,Montpellier,France
2.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,China
3.Department of Decision and Information Sciences,Charlton College of Business,University of Massachusetts – Dartmouth,North Dartmouth,United States
4.School of Management,Operations and Marketing,University of Wollongong,Wollongong,Australia
5.Department of Operational Sciences,Air Force Institute of Technology,Wright-Patterson Air Force Base,United States
6.Department of Marketing and Supply Chain Management,University of Tennessee,Knoxville,United States
推荐引用方式
GB/T 7714
Dubey, Rameshwar,Luo, Zongwei,Gunasekaran, Angappaet al. Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust[J]. International Journal of Logistics Management, 2018, 29(2): 485-512.
APA Dubey, Rameshwar, Luo, Zongwei, Gunasekaran, Angappa, Akter, Shahriar, Hazen, Benjamin T., & Douglas, Matthew A. (2018). Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust. International Journal of Logistics Management, 29(2), 485-512.
MLA Dubey, Rameshwar,et al."Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust". International Journal of Logistics Management 29.2(2018): 485-512.
条目包含的文件
条目无相关文件。
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Dubey, Rameshwar]的文章
[Luo, Zongwei]的文章
[Gunasekaran, Angappa]的文章
百度学术
百度学术中相似的文章
[Dubey, Rameshwar]的文章
[Luo, Zongwei]的文章
[Gunasekaran, Angappa]的文章
必应学术
必应学术中相似的文章
[Dubey, Rameshwar]的文章
[Luo, Zongwei]的文章
[Gunasekaran, Angappa]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。