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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Managing AI Driven Customs Modernisation

Research datakeyboard_double_arrow_right Dataset 19 Jan 2026Publisher:Zenodo
Authors: Chowdhury, Shoumya;

doi: 10.5281/zenodo.18300423 , 10.5281/zenodo.18300424

Managing AI Driven Customs Modernisation

Abstract

This repository contains anonymised survey data and analysis code supporting the manuscript “Bridging the Bureaucracy–Agility Divide: A Hybrid Framework for AI-Driven Customs Modernisation in Bangladesh.” The materials are used to analyse AI-enabled decision support, governance, and organisational agility in public-sector customs administration. All data are fully anonymised, and no personal identifiers are included. The repository is provided to support transparency and reproducibility in applied artificial intelligence and public administration research.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average