BIG DATA GOVERNANCE AND INNOVATION PERFORMANCE: THE MEDIATING ROLE OF BIG DATA ANALYTIC CAPABILITIES AND ORGANISATIONAL AGILITY

被引:1
作者
AL Kamzari, Maryam [1 ]
Asad Mir, Farzana [1 ]
Suliman, Abubakr [1 ]
机构
[1] British Univ Dubai BUiD, Fac Business & Law, Dubai, U Arab Emirates
关键词
Big data analytic capabilities; big data governance; innovation performance; organisational agility; INFORMATION-TECHNOLOGY CAPABILITY; FIRM PERFORMANCE; COMPETITIVE ADVANTAGE; PLS-SEM; STRATEGY; SERVICE; AMBIDEXTERITY; KNOWLEDGE; INDUSTRY; INDEXES;
D O I
10.1142/S1363919624500038
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Big data governance, along with big data analytic capabilities (BDACs) and organisational agility, is expected to increase the organisation's innovation performance. Drawing on the resource-based view, the dynamic capabilities view, and the literature on big data governance and BDACs, this study examines the relationship between big data governance and innovation performance, while focussing on the mediating roles of BDACs and organisational agility. Using a partial least square- structural equation modelling (PLS-SEM) approach, questionnaire responses from 152 enterprises from various industries in the Gulf Cooperation Council (GCC) countries were analysed to test the hypotheses presented in the study's conceptual framework. The study's main findings are that BDACs fully mediate the big data governance relationships with innovation performance and organisational agility. The study also found significant serial mediation by BDACs and organisational agility between big data governance and innovation performance. This study highlights that the ability of management to develop and deploy an appropriate combination of essential resources depends on their resources and capabilities (big data governance, BDACs, and organisational agility), leading toward the improvement of firm innovation performance.
引用
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页数:28
相关论文
共 99 条
[1]  
Abbasi A, 2016, J ASSOC INF SYST, V17, pI
[2]   How to improve firm performance using big data analytics capability and business strategy alignment? [J].
Akter, Shahriar ;
Wamba, Samuel Fosso ;
Gunasekaran, Angappa ;
Dubey, Rameshwar ;
Childe, Stephen J. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2016, 182 :113-131
[3]   A systematic literature review of data governance and cloud data governance [J].
Al-Ruithe, Majid ;
Benkhelifa, Elhadj ;
Hameed, Khawar .
PERSONAL AND UBIQUITOUS COMPUTING, 2019, 23 (5-6) :839-859
[4]   The role of big data analytics capabilities (BDAC) in understanding the challenges of service information and operations management in the sharing economy: Evidence of peer effects in libraries [J].
Albergaria, Matheus ;
Jabbour, Charbel Jose Chiappetta .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2020, 51
[5]   The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis [J].
AlNuaimi, Bader Khamis ;
Khan, Mehmood ;
Ajmal, Mian M. .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 169
[6]   Critical success factors (CSFs) for information technology governance (ITG) [J].
Alreemy, Zyad ;
Chang, Victor ;
Walters, Robert ;
Wills, Gary .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2016, 36 (06) :907-916
[7]   Architectural knowledge in inter-organizational IT innovation [J].
Andersson, Magnus ;
Lindgren, Rikard ;
Henfridsson, Ola .
JOURNAL OF STRATEGIC INFORMATION SYSTEMS, 2008, 17 (01) :19-38
[8]   IT assets, organizational capabilities, and firm performance: How resource allocations and organizational differences explain performance variation [J].
Aral, Sinan ;
Weill, Peter .
ORGANIZATION SCIENCE, 2007, 18 (05) :763-780
[9]  
Ashrafi N., 2006, P 39 ANN HAW INT C S, V2, p46a
[10]   A DATA ENVELOPMENT ANALYSIS APPROACH TO ESTIMATE IT-ENABLED PRODUCTION CAPABILITY [J].
Ayabakan, Sezgin ;
Bardhan, Indranil R. ;
Zheng, Zhiqiang .
MIS QUARTERLY, 2017, 41 (01) :189-+