Evidence map›Paper›PMID 39759291›Full record

ArticleHeliyon2024

Key drivers and priorities of consumer decisions for refurbished electronics: A mix-method approach.

Fatemeh Barkhi, Sadra Ahmadi, Sajad Shokouhyar, Raffaele Filieri, Masoud Ramezaninia

Abstract read
In one paragraph

Article in Heliyon, 2024. 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
–field-weighted citation impact
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.

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

5 authors.

Fatemeh BarkhiDepartment of Information and Industrial Management, Faculty of Management and Accounting, Shahid Beheshti University, G.C., P.O. Box 1983963113, Tehran, Iran.
Sadra AhmadiCyberspace Research Institute, Shahid Beheshti University, G.C., P.O. Box 1983963113, Tehran, Iran.
Sajad ShokouhyarDepartment of Supply Chain and Operations Management, Australian Institute of Business, Adelaide, Australia.
Raffaele FilieriDepartment of Marketing, Audencia Business School, 8 Rte de la Jonelière, 44300, Nantes, France.
Masoud RamezaniniaDepartment of Information and Industrial Management, Faculty of Management and Accounting, Shahid Beheshti University, G.C., P.O. Box 1983963113, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Product refurbishment enhances waste minimization and environmental sustainability. However, the sale of these products relies on consumer attitudes, influenced by various factors. This study adopts a novel mixed-methods approach, utilizing structural and network analysis based on over 60,000 comments and tweets from X.com (formerly Twitter), complemented by insights from expert interviews, to analyze factors affecting consumers viewpoints when making decisions about purchasing refurbished electronics. The research identifies and prioritizes 17 key influencing factors, highlighting the interplay between large-scale consumer sentiment and expert opinions. A customer-centric purchase decision model is presented, showing that consumer priorities when purchasing refurbished products typically revolve around retailer reputation, brand, pricing, warranty, and product quality. These findings offer valuable guidance for producers on how to target higher-priority consumer concerns, ultimately helping to expand their market and boost purchasing intention.

Indexed as

Consumer attitudesConsumer purchasing decisionsData miningRefurbished productSocial media

Identifiers

PMID39759291
PMCPMC11696784

What OpenQuestion holds

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LicenceCC BY
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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.