Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Information assets in firms, often referred to as big data, are systematically exploited and explored by AI to create value.
“The information assets residing in these firms, often referred to as big data, are systematically exploited and explored by AI to create this value (Grover and Kar, 2017).”
From Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2021) · cites this paper as Grover and Kar, 2017
The citation lists haven’t been fetched yet
References 226 · Cited by 219
- Authors
- Grover, P., & Kar, A. K.
- Affiliations
- Indian Institute of Technology Delhi (IN)
- Corresponding author
- Grover, Purva
- Venue
- Global Journal of Flexible Systems Management
- Published
- 2017-06-13
- Volume
- 18
- Issue
- 3
- Pages
- 203-229
- ISSN
- 0972-2696 (ISSN-L)
- 0974-0198
- OpenAlex
- W2625859864
- Cited by
- 219
- References
- 226
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 26 · 2023: 33 · 2022: 34 · 2021: 32 · 2020: 30 · 2019: 26 · 2018: 11 · 2017: 6
- FWCI
- 34.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Global Journal of Flexible Systems Management (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Data Mining
- Keywords
- big data analytics, big data tools, big data technologies, data warehouse, social media analytics, text mining, machine learning, marketing applications, supply chain management, public administration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
