Evidence map›Paper›PMID 42211175›Full record

ArticleFrontiers in artificial intelligence2026

A feasibility study on integrating Generative AI and video conferencing into Indonesian recruitment processes.

Muhammad Ramaditya, Mohammad Ikhsan, Muhammad Firdaus Syawaludin Lubis, Corina D Riantoputra

Abstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2026. 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

4 authors.

Muhammad RamadityaDepartement of Business Administration, Faculty of Administrative Science, Universitas Indonesia, Depok, Indonesia.
Mohammad IkhsanElectrical Engineering Department, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia.
Muhammad Firdaus Syawaludin LubisElectrical Engineering Department, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia.
Corina D RiantoputraDepartment of Pyschology, Faculty of Psychology, Universitas, Indonesia, Depok, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recruitment landscape in Indonesia faces a critical efficiency gap, with a global average time-to-hire of 44 days and a significant mismatch between labor supply and demand. This study evaluates "The Platform," an innovative recruitment tool integrating Generative Artificial Intelligence (Gen-AI) and video conferencing to modernize interviews. To assess the project's viability, we used a strategic management approach, including Political, Economic, Social, Technological, Environmental, and Legal (PESTEL) analysis to evaluate macro-environmental risks and opportunities; Porter's Five Forces to analyze the competitive landscape and industrial profitability; and Strength, Weakness, Opportunity, and Threat (SWOT) analysis to identify internal strengths and weaknesses in the context of external factors. Furthermore, data from Focus Group Discussions (FGDs) with 58 Human Resources Managers were analyzed using a thematic approach to identify, assess, and map emerging Artificial Intelligence (AI) assumptions and user requirements. Findings reveal a green light for adoption, supported by high digital literacy in Indonesia, where a Serviceable Obtainable Market (SOM) is estimated at US$1.75 billion. Key success factors identified include the platform's ability to conduct interviews in the local language and its alignment with national digital transformation goals. The study identifies culture lag and linguistic nuances as primary barriers to efficiency. Consequently, the study concludes that by addressing these identified efficiency gaps through robust data security and localized AI models, the platform is highly feasible and poised to revolutionize the Indonesian HR ecosystem.

Indexed as

feasibility studyGenerative AIHR technologyIndonesiarecruitment efficiencyvideo interview

Identifiers

PMID42211175
PMCPMC13212304

What OpenQuestion holds

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LicenceCC BY
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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.