Critical analysis of Big Data challenges and analytical methods
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In this article, the authors present a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.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 1267 citations till now. The article focuses on the topics: Analytics & Big data.read more
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Journal ArticleDOI
Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics
TL;DR: A Mixed Integer Non-Linear Program (MINLP) model in the multi-products, multi-levels, and multi-periods SCN is formulated based on the minimization of the total costs and the related cost of carbon emissions and shows that H-2 is of higher efficiency.
Journal ArticleDOI
Inter-organizational collaboration and SMEs' innovation: a systematic review and future research directions
Nadia Zahoor,Omar Al-Tabbaa +1 more
TL;DR: A systematic review of 113 studies from 2000 to 2019 to analyze research trends and findings on the nature and dynamics of IOC-innovation relationship in SMEs domain is presented in this paper.
Proceedings ArticleDOI
Status of Data-Driven Methods and their Applications in Oil and Gas Industry
Karthik Balaji,Minou Rabiei,V.S. Suicmez,Celal Hakan Canbaz,Zinyat Agharzeyva,Suleyman Tek,Ummugul Bulut,Cenk Temizel +7 more
TL;DR: This study comprehensively evaluates the status of data-driven methods in oil and gas industry along with the recent advances and applications and outlines the development of these methods from the fundamentals, theory and applications perspective.
Journal ArticleDOI
Enablers to supply chain performance on the basis of digitization technologies
Himanshu Gupta,Sarangdhar Kumar,Simonov Kusi-Sarpong,Charbel José Chiappetta Jabbour,Martin Agyemang +4 more
TL;DR: This study seems to be the first of its kind in which 25 digitization enablers categorized in four main categories are ranked using a multi-criteria decision-making (MCDM) tool and ranked the organizations in their SC performance based on weights/ranks of digitizationEnablers.
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Artificial intelligence for decision support systems in the field of operations research: review and future scope of research
TL;DR: The findings of this review show how AI has contributed to decision making in the operations research field and synergies, differences, and overlaps in AI, DSSs, and OR are presented.
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