Evidence map›Paper›PMID 41509104›Full record

SynthesisF1000Research2025

Enhancing Strategic Agility and Real Time Decision-Making in the Technology Sector: Exploring the Role of AI and e-HRM Systems.

Tom Ongesa Nyamboga

Abstract readSystematic Review
In one paragraph

Synthesis in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

1 author.

Tom Ongesa NyambogaBusiness Administration, Kampala International University - Western Campus, Bushenyi, Western Region, Uganda.ORCID https://orcid.org/0009-0004-7073-8219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We are living in an era of rapid transformation in the technology sector, where success depends on shifting from traditional static strategies to dynamic models that emphasize strategic agility and real-time decision making as shown in Figure 1. Despite ongoing digital transformation, a critical gap remains in understanding how predictive Artificial Intelligence (AI) and electronic Human Resource Management (e-HRM) tools integrate into policy frameworks that future-proof organizations against disruption. This systematic literature review provides an evidence-based analysis of how digital AI and e-HRM platforms can be utilized to enhance strategic agility and real-time decision making in the technology industry. Through qualitative and thematic synthesis analysis of

Indexed as

Artificial IntelligenceDecision MakingHumansArtificial Intelligencee-HRMReal Time Decision MakingStrategic AgilityTechnology Industry

Identifiers

PMID41509104
PMCPMC12775665

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.