Evidence map›Paper›PMID 35800951›Full record

ArticleFrontiers in psychology2022

Relating Sustainable Business Development Practices and Information Management in Promoting Digital Green Innovation: Evidence From China.

Wen Huang, Ka Yin Chau, Ip Yun Kit, Naila Nureen, Muhammad Irfan, Azer Dilanchiev

RetractedAbstract 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 It has been retracted, and should not be counted.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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Can the carbon emissions trading improve the enterprise environmental responsibility?Environmental science and pollution research international · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Business Model Innovation Paths of Manufacturing Oriented towards Green Development in Digital Economy.International journal of environmental research and public health · 2022
    Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Wen HuangSchool of Management, Northwest University of Political Science and Law, Xi'an, China.
Ka Yin ChauFaculty of Business, City University of Macau, Macao, Macao SAR, China.
Ip Yun KitFaculty of International Tourism and Management, City University of Macau, Macao, Macao SAR, China.
Naila NureenSchool of Economics and Management, North China Electric Power University, Beijing, China.
Muhammad IrfanSchool of Management and Economics, Beijing Institute of Technology, Beijing, China.
Azer DilanchievDepartment of Economics, Faculty of Business and Technologies, International Black Sea University, Tbilisi, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital green innovations are being implemented in manufacturing to help organizations achieve sustainability by adopting sustainable development practices (SDPC). However, little is known about the impact of the information management process (IMP) on organizations' digital green innovation. To address this gap, we devised a multidimensional framework based on the resource-based view (RBV) theory that serves as a basis for sculpting how the IMP captured and sustained organizational digital green innovation via SDPCs. 533 respondents from big and medium-sized manufacturing businesses in China were surveyed, and data were analyzed using the structural equation modeling (SEM) approach. The study makes numerous significant findings.

Indexed as

Chinadigital green innovationknowledge management processstructural equation modelingsustainable development practices

Identifiers

PMID35800951
PMCPMC9255555

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.