Evidence map›Paper›PMID 34746984›Full record

ArticleEnvironmental science and pollution research international2022

Promoting sustainability through green innovation adoption: a case of manufacturing industry.

Sajid Ullah, Farman Ullah Khan, Naveed Ahmad

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
13.0field-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

13 citing papers in PubMed, 118 citations in OpenAlex.

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  8. Multi-objective parameter optimization of CNC plane milling for sustainable manufacturing.Environmental science and pollution research international · 2022
    Article
  9. Modeling Key Strategies for Reducing Socio-Economic and Health Crisis: Perspective from COVID-19 Pandemic.International journal of environmental research and public health · 2022
    Article
  10. Promote Green Innovation in Manufacturing Enterprises in the Aspect of Government Subsidies in China.International journal of environmental research and public health · 2022
    Article
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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

3 authors at 3 institutions in 1 country.

Sajid UllahSchool of Economics and Management, Xi'an University of Technology, Xi'an, Shaanxi, People's Republic of China.
Farman Ullah KhanSchool of Management, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China. farman.sikandry@gmail.com.ORCID http://orcid.org/0000-0001-7947-8215
Naveed AhmadSchool of Management, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Northwestern Polytechnical University · CNXi'an Jiaotong University · CNXi'an University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green innovation is becoming more common among researchers and practitioners around the world due to environmental and social issues. Green innovation minimizes wastes and pollution, and also leads to financial gains and better image if implemented effectively. Nowadays, developing countries pay greater emphasis on environmental issues as their manufacturing industries are considered major contributors to pollution. Considering the case of a developing country (Pakistan), the study empirically identified the drivers of green innovation in the manufacturing industry. A hybrid methodology-Fuzzy Delphi method (FDM), interpretive structural modeling (ISM), and cross-impact matrix multiplication applied to classification (MICMAC)-was used to develop a novel framework for analyzing the green innovation drivers. At first, green innovation drivers were selected from past studies; they were further screened by applying Fuzzy Delphi approach. The MICAMAC and ISM results indicate that "cost reduction" and "government support" are the most important drivers motivating green innovation implementation in the Pakistani manufacturing industry, while a green image appeared as the least significant driver of green innovation adoption. The study's findings have significant implications for managers and policymakers to develop green strategies for manufacturing sector.

Indexed as

CommerceManufacturing IndustryAsian PeopleDelivery of Health CareEnvironmental PollutionHumansEnvironmental degradationGreen innovationInterpretive structural modelingManufacturing industrySustainable development

Identifiers

PMID34746984
OpenAlexW3211803710

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.