MétaCan
Menu
Back to cohort
Record W1836170173 · doi:10.1016/j.jm.2004.03.001

Recruitment on the Net: How Do Organizational Web Site Characteristics Influence

2004· article· en· W1836170173 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Management · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployer Branding and e-HRM
Canadian institutionsWilfrid Laurier UniversityUniversity of Waterloo
FundersUniversity of Waterloo
KeywordsWeb siteUsabilityWeb designWorld Wide WebPerceptionSeekersComputer sciencePsychologyWeb serviceHuman–computer interactionThe InternetPolitical science

Abstract

fetched live from OpenAlex

The use of organizational web sites for recruitment has become increasingly common. Despite their widespread growth, however, little is known about how these web sites influence recruitment outcomes. In the current paper, we present a model that explicates how job seekers interact with and respond to web site characteristics to predict various job seeker attitudes and behaviors. We suggest that job seekers are initially affected by the facade of a web site, comprised of the web site’s aesthetic and playfulness features. Coupled with system features of the web site, these initial affective reactions then influence perceptions of the usability of the web site. Perceptions of usability and affective reactions work through two key mediating constructs, job seeker search behavior and web site attitude, to ultimately predict applicant attraction. Throughout the paper we present a series of testable propositions that should serve to guide future research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.227
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it