Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
2.8
2.8
Journals
J. Intell.
Special Issues
Intelligence in the Workplace
share announcement

Intelligence in the Workplace

A special issue of Journal of Intelligence (ISSN 2079-3200).

Deadline for manuscript submissions: closed (1 August 2019) | Viewed by 55631

Special Issue Editor

Prof. Dr. Julie Aitken Schermer

E-Mail Website
Guest Editor
Management and Organizational Studies, Faculty of Social Science, The University of Western Ontario, London, ON N6A 5C2, Canada
Interests: personality and intelligence; behavior genetics; personality structure; measurement; vocational interests
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Manuscripts are now being considered for possible publication in a Special Issue of the Journal of Intelligence (https://www.mdpi.com/journal/jintelligence) under the theme of “Intelligence in the Workplace”. Included will be research reports and review papers dealing with various aspects of intelligence, such as intelligence testing as a predictor of job performance, controversies of intelligence testing as a selection measure, and personality and intelligence correlates with job preferences. Deadline for submission is 30 November 2016.

Prof. Dr. Julie Aitken Schermer
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Intelligence is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

908 KiB  
Article
Socio-Demographic Indicators, Intelligence, and Locus of Control as Predictors of Adult Financial Well-Being
by Adrian Furnham and Helen Cheng
J. Intell. 2017, 5(2), 11; https://doi.org/10.3390/jintelligence5020011 - 6 Apr 2017
Cited by 27 | Viewed by 24035
Abstract
The current study investigated a longitudinal data set of 4790 adults examining a set of socio-demographic and psychological factors that influence adult financial well-being. Parental social status (at birth), childhood intelligence and self-esteem (at age 10), locus of control (at age 16), psychological [...] Read more.
The current study investigated a longitudinal data set of 4790 adults examining a set of socio-demographic and psychological factors that influence adult financial well-being. Parental social status (at birth), childhood intelligence and self-esteem (at age 10), locus of control (at age 16), psychological distress (age 30), educational qualifications (age 34), current occupation, weekly net income, house ownership status, and number of rooms (all measured at age 38 years) were examined. Structural Equation Modelling showed that childhood intelligence, locus of control, education and occupation were all independent predictors of adult financial well-being for both men and women. Parental social status and psychological distress were also significant predictors of the outcome variable for men, but not for women. Whereas for women, in comparison to men, the effects of current occupation and childhood intelligence on the outcome variable appeared to be stronger. The strongest predictor of adult financial well-being was current occupational prestige, followed by educational achievement. The gender deferential of financial well-being indicators and its implications are discussed. Full article
(This article belongs to the Special Issue Intelligence in the Workplace)
►▼ Show Figures

Figure 1

572 KiB  
Article
Human Capital and Reemployment Success: The Role of Cognitive Abilities and Personality
by Timo Gnambs
J. Intell. 2017, 5(1), 9; https://doi.org/10.3390/jintelligence5010009 - 22 Mar 2017
Cited by 6 | Viewed by 8602
Abstract
Involuntary periods of unemployment represent major negative experiences for many individuals. Therefore, it is important to identify factors determining the speed job seekers are able to find new employment. The present study focused on cognitive and non-cognitive abilities of job seekers that determine [...] Read more.
Involuntary periods of unemployment represent major negative experiences for many individuals. Therefore, it is important to identify factors determining the speed job seekers are able to find new employment. The present study focused on cognitive and non-cognitive abilities of job seekers that determine their reemployment success. A sample of German adults (N = 1366) reported on their employment histories over the course of six years and provided measures on their fluid and crystallized intelligence, mathematical and reading competence, and the Big Five of personality. Proportional hazard regression analyses modeled the conditional probability of finding a new job at a given time dependent on the cognitive and personality scores. The results showed that fluid and crystallized intelligence as well as reading competence increased the probability of reemployment. Moreover, emotionally stable job seekers had higher odds of finding new employment. Other personality traits of the Big Five were less relevant for reemployment success. Finally, crystallized intelligence and emotional stability exhibited unique predictive power after controlling for the other traits and showed incremental effects with regard to age, education, and job type. These findings highlight that stable individual differences have a systematic, albeit rather small, effect on unemployment durations. Full article
(This article belongs to the Special Issue Intelligence in the Workplace)
►▼ Show Figures

Figure 1

275 KiB  
Article
Childhood Cognitive Ability Predicts Adult Financial Well-Being
by Adrian Furnham and Helen Cheng
J. Intell. 2017, 5(1), 3; https://doi.org/10.3390/jintelligence5010003 - 27 Dec 2016
Cited by 20 | Viewed by 10520
Abstract
This study set out to investigate to what extent childhood cognitive ability, along with personality traits, education and occupational status, as well as marital status influence adult financial success. Data were drawn from a large, prospective birth cohort in the UK, the National [...] Read more.
This study set out to investigate to what extent childhood cognitive ability, along with personality traits, education and occupational status, as well as marital status influence adult financial success. Data were drawn from a large, prospective birth cohort in the UK, the National Child Development Study (NCDS). The analytic sample was comprised of 4537 cohort members with data on parental social class (at birth), cognitive ability (at age 11), educational qualifications (at age 33), personality traits (at age 50), current marital status and occupational prestige, and salary/wage earning level (all measured at age 54). Correlational results showed that parental social class, childhood cognitive ability, traits extraversion, emotional stability, conscientiousness, and openness, being married positively, being divorced or separated negatively, education and occupation as well as gender were all significantly associated with adult earning ability (p < 0.05 to p < 0.001). Effect sizes for the relationship between intelligence and income was moderate. Results of a multiple regression analysis showed that childhood cognitive ability, traits conscientiousness and openness, educational qualifications and occupational prestige were significant and independent predictors of adult earning ability accounting for 30% of the total variance. There was also a gender effect on the outcome variable. Numerous limitations are noted. Full article
(This article belongs to the Special Issue Intelligence in the Workplace)

Review

Jump to: Research

1604 KiB  
Review
Specific Abilities in the Workplace: More Important Than g?
by Harrison J. Kell and Jonas W.B. Lang
J. Intell. 2017, 5(2), 13; https://doi.org/10.3390/jintelligence5020013 - 12 Apr 2017
Cited by 24 | Viewed by 11829
Abstract
A frequently reported finding is that general mental ability (GMA) is the best single psychological predictor of job performance. Furthermore, specific abilities often add little incremental validity beyond GMA, suggesting that they are not useful for predicting job performance criteria once general intelligence [...] Read more.
A frequently reported finding is that general mental ability (GMA) is the best single psychological predictor of job performance. Furthermore, specific abilities often add little incremental validity beyond GMA, suggesting that they are not useful for predicting job performance criteria once general intelligence is accounted for. We review these findings and their historical background, along with different approaches to studying the relative influence of g and narrower abilities. Then, we discuss several recent studies that used relative importance analysis to study this relative influence and that found that specific abilities are equally good, and sometimes better, predictors of work performance than GMA. We conclude by discussing the implications of these findings and sketching future areas for research. Full article
(This article belongs to the Special Issue Intelligence in the Workplace)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop