Evidence map›Paper›PMID 34803203›Full record

ArticleAnnals of operations research2021

Theorising the Microfoundations of analytics empowerment capability for humanitarian service systems.

Shahriar Akter, Saradhi Motamarri, Shahriar Sajib, Ruwan J Bandara, Shlomo Tarba, Demetris Vrontis

Abstract read
In one paragraph

Article in Annals of operations research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Shahriar AkterSchool of Business, University of Wollongong, Wollongong, NSW 2522 Australia.ORCID 0000-0002-2050-9985
Saradhi MotamarriSchool of Business, University of Wollongong, Wollongong, NSW 2522 Australia.ORCID 0000-0002-4923-5201
Shahriar SajibUTS Business School, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007 Australia.
Ruwan J BandaraSchool of Business, University of Wollongong, Wollongong, NSW 2522 Australia.
Shlomo TarbaThe Department of Strategy and International Business, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK.
Demetris VrontisDepartment of Marketing, School of Business, University of Nicosia, 1700 Nicosia, Cyprus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world is facing an unprecedented humanitarian crisis due to the COVID-19 pandemic. Humanitarian service systems are being empowered to tackle this crisis through the use of vast amounts of structured and unstructured data to protect vulnerable individuals and communities. Analytics has emerged as a powerful platform to visualise, predict, and prescribe solutions to humanitarian crises, such as disease containment, healthcare capacity, and emergency food supply. However, there is a paucity of research on the microfoundations of the humanitarian analytics empowerment capability. As such, drawing on dynamic capability theory and by means of a systematic literature review and thematic analysis, this study proposes an analytics empowerment capability framework for humanitarian service systems. The findings show that analytics culture, technological sophistication, data-driven insights, decision making autonomy, knowledge and skills, and training and development are crucial components of the analytics empowerment's capability to sense, seize, and remedy crisis situations. The paper discusses both theoretical and practical research implications.

Indexed as

Analytics empowerment capabilityHumanitarian analyticsMicrofoundations of dynamic capability

Identifiers

PMID34803203
PMCPMC8593634

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.