Evidence map›Paper›PMID 36662786›Full record

ArticlePloS one2023

Antecedents and consequences of relationship quality in pharmaceutical industries: A structural equation modelling approach.

Muhammad Turki Alshurideh, Barween Al Kurdi, Hamzeh Almomani, Zaid Mohammad Obeidat, Ra'ed Masa'deh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
1.6field-weighted citation impact, top 16% 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, 5 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

5 authors at 3 institutions in 2 countries.

Muhammad Turki AlshuridehDepartment of Marketing, School of Business, The University of Jordan, Amman, Jordan.ORCID 0000-0002-7336-381X
Barween Al KurdiDepartment of Marketing, Faculty of Economics and Administrative Sciences, The Hashemite University, Zarqa, Jordan.
Hamzeh AlmomaniUniversity of Reading, Reading, United Kingdom.ORCID 0000-0002-4537-5477
Zaid Mohammad ObeidatDepartment of Marketing, School of Business, The University of Jordan, Amman, Jordan.
Ra'ed Masa'dehDepartment of Management Information Systems, School of Business, The University of Jordan, Amman, Jordan.ORCID 0000-0002-9070-3732
University of Jordan · JOHashemite University · JOUniversity of Reading · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the antecedents and consequences of relationship quality in the Jordanian pharmaceutical industry. A convenience sampling technique was used to select a representative sample of physicians working in the public healthcare sector in Jordan. Particularly, 500 questionnaires were distributed and 374 questionnaires were used in the analyses. Structural Equation Modeling was used to test the research hypotheses. Results revealed that the relationship quality was affected positively by the following antecedent variables (relational selling behavior, expertise, and ethical Relationship) while similarities had no significant effect on the relationship quality. The findings also revealed that the anticipation of future interaction between the physicians and medical representatives was affected positively by relationship quality. This study is the first that adequately examined the relationship quality and the anticipation of future interaction in the Jordanian pharmaceutical sector.

Indexed as

PhysiciansDrug IndustryHumansJordanLatent Class AnalysisSurveys and Questionnaires

Identifiers

PMID36662786
PMCPMC9858337
OpenAlexW4317567487

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.