Evidence map›Paper›PMID 40479370›Full record

ArticleJournal of the knowledge economy2023

What Does It Take for Organizations to Adopt Massive Open Online Courses (MOOCs)? A Fuzzy DANP Analysis.

Reyhaneh Bijaniaram, Maryam Tehrani, Roohallah Noori, Jongwook Pak

Abstract read
In one paragraph

Article in Journal of the knowledge economy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Reyhaneh BijaniaramHuman Resource Management and MBA Department, Management Faculty, Kharazmi University, Tehran, Iran.
Maryam TehraniHuman Resource Management and MBA Department, Management Faculty, Kharazmi University, Tehran, Iran.
Roohallah NooriHuman Resource Management and MBA Department, Management Faculty, Kharazmi University, Tehran, Iran.
Jongwook PakThe University of Auckland Business School, Auckland, New Zealand.ORCID 0000-0002-4839-0023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing utilization of advanced technologies such as massive open online courses (MOOCs) within organizations represents change, and embracing such change begins with individual and organizational end-users who often resist newly introduced systems. Recent studies have primarily focused on identifying critical factors in educational and corporate MOOCs adoption, while the consolidation of these factors has been overlooked. With our fuzzy DEMATEL-based analytical network process (DANP) analysis, this research fills this critical gap by prioritizing the identified factors and specifying their causality to understand how these critical factors can influence the successful implementation of MOOCs training systems in the workplace. Through consensus from a panel of human resource development (HRD) experts, 20 success factors at individual, content, and organizational levels were screened. Results indicate that the individual factors are the most influential, while the content factors are influenced most by other factors under study. Results also indicate that organizational sub-factors of technical support ranked first, training on how to work with MOOCs system second, and the presence of content experts ranked third. Therefore, our study unravels the significance of ranking multi-level determinants for educators and managers who plan to embark on MOOCs to attain a competitive advantage for both the globalized economy and societal trends. We propose a paradigm for future research and practice.

Indexed as

AdoptionCorporate MOOCsFuzzy DANPImplementationSuccess factors

Identifiers

PMID40479370
PMCPMC9992923

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.