Big data analytics and firm performance: Effects of dynamic capabilities
Samuel Fosso Wamba,Angappa Gunasekaran,Shahriar Akter,Steven Ji-fan Ren,Rameshwar Dubey,Stephen J. Childe +5 more
TLDR
The findings confirm the value of the entanglement conceptualization of the hierarchical BDAC model, which has both direct and indirect impacts on FPER and confirm the strong mediating role of PODC in improving insights and enhancing FPER.About:
This article is published in Journal of Business Research.The article was published on 2017-01-01 and is currently open access. It has received 1089 citations till now. The article focuses on the topics: Analytics & Business analytics.read more
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Literature review of Industry 4.0 and related technologies
Ercan Oztemel,Samet Gürsev +1 more
TL;DR: This exhaustive literature review provides a concrete definition of Industry 4.0 and defines its six design principles such as interoperability, virtualization, local, real-time talent, service orientation and modularity.
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Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA
TL;DR: It is argued that the impact of IT-enabled dynamic capabilities on competitive performance is mediated by organizational agility, which in sequence enhance competitive performance.
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Big data analytics capabilities: a systematic literature review and research agenda
TL;DR: The present paper aims to provide a systematic literature review that can help to explain the mechanisms through which big data analytics (BDA) lead to competitive performance gains and identifies gaps in the extant literature and proposes six future research themes.
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Can Big Data and Predictive Analytics Improve Social and Environmental Sustainability
Rameshwar Dubey,Angappa Gunasekaran,Stephen J. Childe,Thanos Papadopoulos,Zongwei Luo,Samuel Fosso Wamba,David Roubaud +6 more
TL;DR: In this paper, the authors empirically investigated the effects of big data and predictive analytics (BDPA) on social performance (SP) and environmental performance (EP) using variance based structural equation modelling (i.e. PLS) and found that BDPA has significant impact on SP/EP.
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Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Culture
TL;DR: This paper draws on the resource‐based view of the firm, institutional theory and organizational culture to develop and test a model that describes the importance of resources for building capabilities, skills and big data culture and subsequently improving cost and operational performance.
References
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TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
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Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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Structural equation modeling in practice: a review and recommended two-step approach
TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.