ReviewHeliyon2024
From virtual observations to business insights: A bibliometric review of netnography in business research.
Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Agentic Loafing: An AI Decision Delegation Risk.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- Pharmacists' Professional Satisfaction and Challenges: A Netnographic Analysis of Reddit and Facebook Discussions.Pharmacy (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Netnography is a special kind of qualitative social media research. It applies ethnographic techniques to comprehend social interaction in settings of modern digital communications. This article aims to highlight the key contributors and knowledge structure of this research domain. Utilizing bibliographic data of 722 articles retrieved from the Scopus database, researchers used performance analysis to have insights into the most prolific authors, institutions, countries and journals. Keywords co-occurrence analysis was done to map the knowledge structure. The thematic map tool was used to recognize basic themes, motor themes, niche themes, and emerging themes in order to suggest future research directions. The results indicate that, in terms of research publications, the most productive nation is the United Kingdom. The most lucrative organization has been acknowledged as Griffith University. The most influential author is stated to be Mkono M. The most resourceful source is Journal of Business Research. In addition, three significant knowledge clusters important to study utilizing netnography were identified as a result of co-occurrence of keywords analysis namely, consumer behaviour, co-creation in online brand communities and authenticity. Further, niche and emerging themes include-sustainable tourism, customer engagement and sharing economy. When taken as a whole, this review is a useful tool for quickly understanding the most recent research findings and potential directions for further investigation. An assessment of the state of netnography in business and management research has not been systematically investigated. Hence, the present study aims to thorough a grasp of the state-of-the-art in Netnography research field over the past decades along with the future research directions. Studying the state of the art in the field adds to academic knowledge and provides updated information on the procedure.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.