Evidence map›Paper›PMID 27494334›Full record

ArticlePloS one2016

Critical Factors Influencing Decision to Adopt Human Resource Information System (HRIS) in Hospitals.

Md Golam Rabiul Alam, Abdul Kadar Muhammad Masum, Loo-See Beh, Choong Seon Hong

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Md Golam Rabiul AlamDepartment of Computer Science and Engineering, Kyung Hee University, Yongin-si, Korea.
Abdul Kadar Muhammad MasumDepartment of Administrative Studies & Politics, University of Malaya, Kuala Lumpur, Malaysia.
Loo-See BehDepartment of Administrative Studies & Politics, University of Malaya, Kuala Lumpur, Malaysia.
Choong Seon HongDepartment of Computer Science and Engineering, Kyung Hee University, Yongin-si, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this research is to explore factors influencing the management decisions to adopt human resource information system (HRIS) in the hospital industry of Bangladesh-an emerging developing country. To understand this issue, this paper integrates two prominent adoption theories-Human-Organization-Technology fit (HOT-fit) model and Technology-Organization-Environment (TOE) framework. Thirteen factors under four dimensions were investigated to explore their influence on HRIS adoption decisions in hospitals. Employing non-probability sampling method, a total of 550 copies of structured questionnaires were distributed among HR executives of 92 private hospitals in Bangladesh. Among the respondents, usable questionnaires were 383 that suggesting a valid response rate of 69.63%. We classify the sample into 3 core groups based on the HRIS initial implementation, namely adopters, prospectors, and laggards. The obtained results specify 5 most critical factors i.e. IT infrastructure, top management support, IT capabilities of staff, perceived cost, and competitive pressure. Moreover, the most significant dimension is technological dimension followed by organisational, human, and environmental among the proposed 4 dimensions. Lastly, the study found existence of significant differences in all factors across different adopting groups. The study results also expose constructive proposals to researchers, hospitals, and the government to enhance the likelihood of adopting HRIS. The present study has important implications in understanding HRIS implementation in developing countries.

Indexed as

HospitalsAdultAttitude to ComputersBangladeshDiffusion of InnovationFemaleHumansInformation SystemsMaleMiddle AgedPersonnel ManagementReproducibility of ResultsSurveys and QuestionnairesWorkforce

Identifiers

PMID27494334
PMCPMC4975450

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.