Evidence map›Paper›PMID 35719580›Full record

ArticleFrontiers in psychology2022

Éclaircissement to Understand Consumers' Decision-Making Psyche and Gender Effects, a Fuzzy Set Qualitative Comparative Analysis.

Sohaib Mustafa, Muhammad Tayyab Sohail, Roobaea Alroobaea, Saeed Rubaiee, A Anas, Asem Majed Othman, Muhammad Nawaz

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
14.2field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 36 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Sohaib MustafaCollege of Economics and Management, Beijing University of Technology, Beijing, China.
Muhammad Tayyab SohailSouth Asian Research Centre, School of Public Administration, Xiangtan University, Xiangtan, China.
Roobaea AlroobaeaDepartment of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
Saeed RubaieeDepartment of Industrial and Systems Engineering, College of Engineering, University of Jeddah, Jeddah, Saudi Arabia.
A AnasDepartment of Industrial and Systems Engineering, College of Engineering, University of Jeddah, Jeddah, Saudi Arabia.
Asem Majed OthmanDepartment of Industrial and Systems Engineering, College of Engineering, University of Jeddah, Jeddah, Saudi Arabia.
Muhammad NawazDepartment of Business Administration, National College of Business Administration and Economics, Lahore, Pakistan.
Jeddah University · SABeijing University of Technology · CNNational College of Business Administration and Economics · PKTaif University · SAXiangtan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consumers' decision-making is complex and diverse in terms of gender. Different social, psychological, and economic factors mold the decision-making preferences of consumers. Most researchers used a variance-based approach to explain consumer decision-making that assumes symmetric relationship between variables. We have collected data from 468 smartwatch users and applied a fuzzy set qualitative comparative analysis (

Indexed as

configurationsconsumer decision-makingfuzzy set qualitative comparative analysis (fsQCA)gender-difference in purchasegender-specific psychesmartwatchesuse behaviorUTAUT

Identifiers

PMID35719580
PMCPMC9201776
OpenAlexW4281740958

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.