Evidence map›Paper›PMID 34538963›Full record

ArticleSoftware: practice & experience2022

Advanced data integration in banking, financial, and insurance software in the age of COVID-19.

Moinak Maiti, Darko Vuković, Amrit Mukherjee, Pavan D Paikarao, Janardan Krishna Yadav

Abstract read
In one paragraph

Article in Software: practice & experience, 2022. 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.

  1. Article
  2. Article
  3. Article
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.

Moinak MaitiDepartment of Finance National Research University-Higher School of Economics Saint Petersburg Russia.ORCID https://orcid.org/0000-0003-0045-6174
Darko VukovićFinance and Credit Department, Faculty of Economics People's Friendship University of Russia (RUDN University) Moscow Russia.
Amrit MukherjeeSchool of Electronics and Information Engineering Anhui University Hefei China.
Pavan D PaikaraoDepartment of Electronics and Telecommunication Terna Public Charitable Trust's College of Engineering Osmanabad India.
Janardan Krishna YadavJindal Global Business School O. P. Jindal Global University Sonipat India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study contributes to our understanding of how the emergence of the COVID-19 pandemic changes the global Banking Financial Services and Insurance (BFSI) landscape. Before the COVID-19 pandemic, BFSIs corporate strategy was solely aligned to the quest for operational efficiency. However, during the ongoing COVID-19 pandemic, global BFSIs are forced to adopt digital transformation in their operations due to a rise in transaction volumes. The ongoing COVID-19 pandemic already triggers holistic innovations concerning the global BFSI's product, process, concept, trend, or idea. Thus, the BFSI cannot survive without efficient and innovative system software for global operations. The study plots the hype cycle to identify relevant technologies to deal with real-world business problems. The hype cycle indicates that the need for advanced data integration is growing and COVID-19 pandemic has already triggered it. The study argues that the incorporation of data integration might be challenging initially for BFSIs but eventually it may result in an efficient model to handle these types of pandemic or unexpected circumstances.

Indexed as

blockchainsCOVID‐19FintechintegrationIoTNeurotech

Identifiers

PMID34538963
PMCPMC8441732

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.