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题名Can big data and predictive analytics improve social and environmental sustainability?
作者
发表日期2019-07-01
发表期刊Technological Forecasting and Social Change
ISSN/eISSN0040-1625
卷号144页码:534-545
摘要

Although literature indicates that big data and predictive analytics (BDPA)convey a distinct organisational capability, little is known about their performance effects in particular contextual conditions (inter alia, national context and culture, and firm size). Grounding our investigation in the dynamic capability views and organisational culture and based on a sample of 205 Indian manufacturing organisations, we empirically investigate the effects of BDPA on social performance (SP)and environmental performance (EP)using variance based structural equation modelling (i.e. PLS). We find that BDPA has significant impact on SP/EP. However, we did not find evidence for moderating role of flexible orientation and control orientation in the links between BDPA and SP/EP. Our findings offer a more nuanced understanding of the performance implications of BDPA, thereby addressing the crucial questions of how and when BDPA can enhance social/environmental sustainability in supply chains.

关键词Big data Dynamic capability view Environmental sustainability Predictive analytics Social sustainability Supply chains
DOI10.1016/j.techfore.2017.06.020
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收录类别SSCI
语种英语English
WOS研究方向Business & Economics ; Public Administration
WOS类目Business ; Regional & Urban Planning
WOS记录号WOS:000471735700048
Scopus入藏号2-s2.0-85023643537
引用统计
被引频次:474[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/6889
专题个人在本单位外知识产出
通讯作者Papadopoulos, Thanos
作者单位
1.Montpellier Business School,Montpellier Research in Management,Montpellier,2300 Avenue des Moulins,34000,France
2.School of Business and Public Administration California State University,Bakersfield,Bakersfield 9001 Stockdale Highway,93311-1022,United States
3.Plymouth Business School,Plymouth University,Plymouth,PL4 8AA,United Kingdom
4.Kent Business School,University of Kent,Kent,Sail and Colour Loft, The Historic Dockyard, Chatham,ME4 4TE,United Kingdom
5.Computer Science & Engineering,Southern University of Science and Technology,Shenzen,1088 Xueyuan Blvd.,518055,China
6.Toulouse Business School,Toulouse University,Toulouse,20 Boulevard Lascrosses,31068,France
推荐引用方式
GB/T 7714
Dubey, Rameshwar,Gunasekaran, Angappa,Childe, Stephen J.et al. Can big data and predictive analytics improve social and environmental sustainability?[J]. Technological Forecasting and Social Change, 2019, 144: 534-545.
APA Dubey, Rameshwar., Gunasekaran, Angappa., Childe, Stephen J., Papadopoulos, Thanos., Luo, Zongwei., .. & Roubaud, David. (2019). Can big data and predictive analytics improve social and environmental sustainability?. Technological Forecasting and Social Change, 144, 534-545.
MLA Dubey, Rameshwar,et al."Can big data and predictive analytics improve social and environmental sustainability?". Technological Forecasting and Social Change 144(2019): 534-545.
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