题名 | Can big data and predictive analytics improve social and environmental sustainability? |
作者 | |
通讯作者 | Papadopoulos, Thanos; Luo, Zongwei |
发表日期 | 2019-07
|
DOI | |
发表期刊 | |
ISSN | 0040-1625
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EISSN | 1873-5509
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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 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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重要成果 | ESI高被引
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学校署名 | 通讯
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WOS研究方向 | Business & Economics
; Public Administration
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WOS类目 | Business
; Regional & Urban Planning
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WOS记录号 | WOS:000471735700048
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出版者 | |
EI入藏号 | 20172903951989
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EI主题词 | Enterprise Resource Management
; Environmental Management
; Predictive Analytics
; Supply Chains
; Sustainable Development
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EI分类号 | Environmental Engineering, General:454.1
; Data Processing and Image Processing:723.2
; Industrial Engineering and Management:912
; Management:912.2
; Production Planning and Control; Manufacturing:913
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ESI学科分类 | SOCIAL SCIENCES, GENERAL
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来源库 | Web of Science
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引用统计 |
被引频次[WOS]:377
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/25635 |
专题 | 工学院_计算机科学与工程系 |
作者单位 | 1.Montpellier Res Management, Montpellier Business Sch, 2300 Ave Moulins, F-34000 Montpellier, France 2.Calif State Univ, Sch Business & Publ Adm, 9001 Stockdale Highway, Bakersfield, CA 93311 USA 3.Plymouth Univ, Plymouth Business Sch, Plymouth PL4 8AA, Devon, England 4.Univ Kent, Kent Business Sch, Sail & Colour Loft, Hist Dockyard, Chatham ME4 4TE, Kent, England 5.Southern Univ Sci & Technol, Comp Sci & Engn, 1088 Xueyuan Blvd, Sherzzen 518055, Guangdong, Peoples R China 6.Univ Toulouse, Toulouse Business Sch, 20 Blvd Lascrosses, F-31068 Toulouse, France |
通讯作者单位 | 计算机科学与工程系 |
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.
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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.
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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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
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