Evidence map›Paper›PMID 40479018›Full record

ArticleEmployee responsibilities and rights journal2023

Tales from the Dark Side of Technology Acceptance: The Dark Triad and the Technology Acceptance Model.

Matthew J Aplin-Houtz, Sean Leahy, Sarah Willey, Emily K Lane, Sachin Sharma, John Meriac

Abstract read
In one paragraph

Article in Employee responsibilities and rights journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Matthew J Aplin-HoutzCollege of Business Administration, University of Missouri Saint Louis, St. Louis, MO USA.ORCID 0000-0001-5793-9789
Sean LeahyCollege of Business Administration, University of Missouri Saint Louis, St. Louis, MO USA.ORCID 0000-0003-2308-3980
Sarah WilleyCollege of Business Administration, University of Missouri Saint Louis, St. Louis, MO USA.ORCID 0000-0003-2384-0603
Emily K LaneCollege of Business Administration, University of Missouri Saint Louis, St. Louis, MO USA.ORCID 0000-0002-3493-7817
Sachin SharmaCollege of Business Administration, University of Missouri Saint Louis, St. Louis, MO USA.ORCID 0000-0002-3785-8276
John MeriacCollege of Business Administration, University of Missouri Saint Louis, St. Louis, MO USA.ORCID 0000-0002-6040-9890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the dramatic shifts in the workforce that have emerged in the post-COVID-19 world, workers' emotions have often presented very negatively, causing people to overtly display the dark aspects of their personality while at work. At the same time, organizations have been forced to adopt new technologies to fill the gaps in their desired outcomes and cope with changes in market demand. The ensuing clash between negative emotions and technological implementation may lead to intense conflicts and adverse work outcomes. This study hypothesizes a direct relationship between dark personality traits (narcissism, Machiavellianism, and psychopathy) and technology acceptance. Using a multiple regression model with a sample of general workers from various industries (

Indexed as

Dark personality traitsDark triadNarcissismTechnology acceptance

Identifiers

PMID40479018
PMCPMC10147370

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.