发表状态 | 已发表Published |
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
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ISSN/eISSN | 0040-1625 |
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 |
DOI | 10.1016/j.techfore.2017.06.020 |
URL | 查看来源 |
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 | |
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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