Evidence map›Paper›PMID 36968722›Full record

ArticleFrontiers in psychology2023

Does brand community participation lead to early new product adoption? The roles of networking behavior and prior purchase experience.

Ying Jiang, Junyun Liao, Jiecong Pang, Hsin-Li Hu

Open access · goldFull text read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Ying JiangEconomics and Management School, Wuhan University, Wuhan, China.
Junyun LiaoResearch Institute on Brand Innovation and Development of Guangzhou, School of Management, Jinan University, Guangzhou, China.
Jiecong PangResearch Institute on Brand Innovation and Development of Guangzhou, School of Management, Jinan University, Guangzhou, China.
Hsin-Li HuSchool of Communication, The Hang Seng University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Jinan University · CNThe Hang Seng University of Hong Kong · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Consumers' adoption behavior is critical to the success of new products, but the effects of brand communities on new product adoption have rarely been investigated. In this study, we draw on network theory to examine how consumer participation in brand communities (in terms of participation intensity and social networking behaviors) affects the adoption of new products. Methods: We collected longitudinal data from 8,296 members of an online community of a well-known smartphone brand to assess the factors influencing new product adoption. Results: The results from applying a hazard model indicated that brand community participation increases the speed of adoption of new products. The positive effect of members' out-degree centrality on new product adoption was found to be significant, but in-degree centrality only had an effect when users had previous purchasing experience. Discussion: These findings extend the literature by revealing how new products are disseminated across brand communities. The study also makes theoretical and practical contributions to the literature on brand community management and product marketing.

Indexed as

brand communityin-degree centralitynew product adoptionnew product adoption brand communityout-degree centralitysocial networks

Identifiers

PMID36968722
PMCPMC10032044
OpenAlexW4323544504

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read6
measurements read9
Read underepoch 390

Registered trials

None linked

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.