{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T10:08:50Z","timestamp":1777802930903,"version":"3.51.4"},"reference-count":80,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies\u2019 results. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. The authors assess papers listed in the Web of Science index. This study identifies the factors that may influence the adoption of big data analytics in various parts of an organization and categorizes the diverse types of performance that big data analytics can address. Directions for future research are developed from the results. This systematic review proposes to create avenues for both conceptual and empirical research streams by emphasizing the importance of big data analytics in improving firm performance. In addition, this review offers both scholars and practitioners an increased understanding of the link between big data analytics and firm performance.<\/jats:p>","DOI":"10.3390\/info10070226","type":"journal-article","created":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T10:54:47Z","timestamp":1561978487000},"page":"226","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":95,"title":["Big Data Analytics and Firm Performance: A Systematic Review"],"prefix":"10.3390","volume":"10","author":[{"given":"Parisa","family":"Maroufkhani","sequence":"first","affiliation":[{"name":"Azman Hashim International Business School, Universiti Teknologi Malaysia, Kuala Lumpur 54100, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0220-2154","authenticated-orcid":false,"given":"Ralf","family":"Wagner","sequence":"additional","affiliation":[{"name":"DMCC-Dialog Marketing Competence Center, University of Kassel, 34125 Kassel, Germany"}]},{"given":"Wan Khairuzzaman","family":"Wan Ismail","sequence":"additional","affiliation":[{"name":"Sulaiman AlRajhi School of Business, Sulaiman AlRajhi Colleges, Al Bukayriyah 51941, Saudi Arabia"}]},{"given":"Mas Bambang","family":"Baroto","sequence":"additional","affiliation":[{"name":"Azman Hashim International Business School, Universiti Teknologi Malaysia, Kuala Lumpur 54100, Malaysia"}]},{"given":"Mohammad","family":"Nourani","sequence":"additional","affiliation":[{"name":"School of Management, Universiti Sains Malaysia, Penang 11800, Malaysia"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s10257-017-0362-y","article-title":"Big data analytics capabilities: A systematic literature review and research agenda","volume":"16","author":"Mikalef","year":"2018","journal-title":"Inf. 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