Evidence map›Paper›PMID 33447970›Full record

ArticleEnvironmental science and pollution research international2021

Promoting environmental performance through corporate social responsibility in controversial industry sectors.

Nisar Ahmed Channa, Tahir Hussain, Gian Luca Casali, Sarfraz Ahmed Dakhan, Rabail Aisha

Abstract read
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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Nisar Ahmed ChannaDepartment of Business Administration, Sukkur IBA University, Sukkur, Sindh, Pakistan. nisar.channa@iba-suk.edu.pk.ORCID http://orcid.org/0000-0002-9826-9926
Tahir HussainDepartment of Business Administration, Sukkur IBA University, Sukkur, Sindh, Pakistan.
Gian Luca CasaliSchool of Management, Queensland University of Technology, Brisbane, Queensland, Australia.
Sarfraz Ahmed DakhanDepartment of Business Administration, Sukkur IBA University, Sukkur, Sindh, Pakistan.
Rabail AishaDepartment of Business Administration, Sukkur IBA University, Sukkur, Sindh, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using two theoretical lenses-social identity theory (SIT) and organizational citizenship behavior towards environment (OCBE)-the current study examines the impact of employee CSR perceptions on environmental performance via mediation of employee pro-environmental behavior and organizational citizenship behavior towards environment (OCBE) utilizing data from three controversial industry sectors (i.e., hotel, tobacco, oil, and gas). We conducted a multi-time survey (sample n = 282) of employees working in organizations operating in controversial industry sectors to test a serial mediation model. The collected data were analyzed through partial least square structural equation modeling (PLS-SEM) technique using Smart PLS 3.3.2. The findings suggest that employee CSR perception significantly influences environmental performance. Furthermore, the mediating effects of employee pro-environmental behavior and OCBE were also found statistically significant. Using theories of SIT and OCBE, this study is an attempt to unveil what is unknown about CSR perception and environmental performance relationships.

Indexed as

OrganizationsSocial ResponsibilityNegotiatingSocial BehaviorSurveys and QuestionnairesCorporate social responsibilityEnvironmental performanceOrganizational citizenship behavior towards environmentPro-environmental behaviorSocial identity theory

Identifiers

What OpenQuestion holds

Textmetadata
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.