Evidence map›Paper›PMID 36735123›Full record

ArticleEnvironmental science and pollution research international2023

The role of Fintech in circular economy practices to improve sustainability performance: a two-staged SEM-ANN approach.

Abu Bakkar Siddik, Li Yong, Md Nafizur Rahman

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

3 authors.

Abu Bakkar SiddikSchool of Management, University of Science and Technology of China (USTC), Jinzhai Road, Hefei, 230026, China. ls190309@sust.edu.cn.ORCID http://orcid.org/0000-0002-3953-198X
Li YongSchool of Management, University of Science and Technology of China (USTC), Jinzhai Road, Hefei, 230026, China.
Md Nafizur RahmanDepartment of Business Administration in Finance & Banking, Bangladesh University of Professionals, Mirpur Cantonment, Dhaka, 1216, Bangladesh.ORCID http://orcid.org/0000-0003-1556-5488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coupling the practice-based view (PBV) of firms with dynamic capabilities theory (DCT), we assess the effect of Fintech adoption (FA) on organizational sustainability performance (SP) through circular economy practices (CEP). Additionally, this research examines the moderating roles of a firm's access to finance (AF) and absorptive capacity (AC) in the interplays between the constructs. Three hundred responses were collected from Bangladeshi manufacturing SMEs using a structured questionnaire. We examined our conceptual model using a two-staged structural equation modeling-artificial neural network (SEM-ANN) approach. The empirical findings unveiled that Fintech adoption significantly drives organizational CEP and SP and that CEP acts as a mediator between the FA and SP linkage. Furthermore, the findings also confirmed the moderating effect of AF on the FA and CEP association and the impact of AC on the CEP and SP association. Hence, this scholarship adds pivotal insights to the extant literature by establishing the roles of multiple mediators and moderators in the interplay of FA and firms' SP. Given the paucity of primary-data-based research, this empirical study addresses the gaps in the Fintech, CE, and sustainability literature and yields crucial implications for theory and practice.

Indexed as

CommerceEmpirical ResearchLatent Class AnalysisNeural Networks, ComputerAbsorptive capacityAccess to financeCircular economyDynamic capabilitiesFintechSustainability performance

Identifiers

PMID36735123
PMCPMC9896459

What OpenQuestion holds

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Registered trials

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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.