arbiter
JournalsAccount

Conducting different types of business management literature reviews as a research methodology in the artificial intelligence age

Vanessa Ratten

Journal of Management & Organization2026https://doi.org/10.1017/jmo.2025.10050article
AJG 2ABDC A
Weight
0.50

Abstract

Literature reviews are core parts of the research process with most conducted in the early research stages. The way a literature review is done can differ depending on the type of research, its aims and goals. This means some view literature reviews as best being done through a systematic approach that has set stages and ways to analyse the literature. This editorial article discusses the main reasons for literature reviews in terms of being helpful, educative and progressive. This is useful in furthering the way researchers collect, interpret and analyse data. As more business management researchers and practitioners utilise review articles it is important to remain vigilant about their purpose and usefulness to business practices.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1017/jmo.2025.10050

Or copy a formatted citation

@article{vanessa2026,
  title        = {{Conducting different types of business management literature reviews as a research methodology in the artificial intelligence age}},
  author       = {Vanessa Ratten},
  journal      = {Journal of Management & Organization},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1017/jmo.2025.10050},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Conducting different types of business management literature reviews as a research methodology in the artificial intelligence age

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.