What is a Data-Driven Organization? Completed Research

被引:0
作者
Hupperz, Marius [1 ]
Guer, Inan [1 ]
Moeller, Frederik [2 ]
Otto, Boris [2 ]
机构
[1] Fraunhofer ISST, Dortmund, Germany
[2] TU Dortmund, Fraunhofer ISST, Dortmund, Germany
来源
DIGITAL INNOVATION AND ENTREPRENEURSHIP (AMCIS 2021) | 2021年
关键词
Data-driven organization; structured literature review; data management; data analytics; CHALLENGES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modern businesses rely on efficient management of their data assets. Data management and analytics have become decisive success factors for enterprises and companies during the last decades. However, the different aspects of transforming an organization into a data-driven one leave a lot of room for scientific inquiry. There are various aspects to consider in the transition to a data-driven organization. The paper investigates key elements and corresponding requirements of data-driven organizations to foster consensual definition in the research field. The work is grounded in the theory of organizational design and presents deductively generated results collected in a literature review. Key contributions of the paper are a shared understanding and a proposition for key elements of data-driven organizations.
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页数:10
相关论文
共 46 条
[1]   Big Data Capabilities and Firm's Performance: A Mediating Role of Competitive Advantage [J].
Anwar, Muhammad ;
Khan, Sher Zaman ;
Shah, Syed Zulfiqar Ali .
JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2018, 17 (04)
[2]   The role of business analytics capabilities in bolstering firms' agility and performance [J].
Ashrafi, Amir ;
Ravasan, Ahad Zare ;
Trkman, Peter ;
Afshari, Samira .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2019, 47 :1-15
[3]  
Berndtsson M., 2018, ECIS 2018 P, P1
[4]   The impact of supply chain analytics on operational performance: a resource-based view [J].
Chae, Bongsug ;
Olson, David ;
Sheu, Chwen .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (16) :4695-4710
[5]  
Cheah S, 2017, J CHIN ECON FOREIGN, V10, P229, DOI 10.1108/JCEFTS-05-2017-0013
[6]  
Davenport TH, 2006, HARVARD BUS REV, V84, P98
[7]  
Deborah Henderson C., 2017, Data Management Body of Knowledge, V2nd
[8]   Big data analytics capability in supply chain agility The moderating effect of organizational flexibility [J].
Dubey, Rameshwar ;
Gunasekaran, Angappa ;
Childe, Stephen J. .
MANAGEMENT DECISION, 2019, 57 (08) :2092-2112
[9]   Big data analytics capability in supply chain agility The moderating effect of organizational flexibility [J].
Dubey, Rameshwar ;
Gunasekaran, Angappa ;
Childe, Stephen J. .
MANAGEMENT DECISION, 2019, 57 (08) :2092-2112
[10]  
European Commission, 2020, EUR STRAT DAT