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Record W4416005942 · doi:10.5465/amproc.2025.312bp

Working in the “New Normal”: A Daily Study of Hybrid Work and Need Fulfillment

2025· article· en· W4416005942 on OpenAlexaff
Nickolas Kisil, Tracy D. Hecht, Alexandru M. Lefter

Bibliographic record

VenueAcademy of Management Proceedings · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsConcordia University
Fundersnot available
KeywordsAutonomyWork (physics)Activities of daily livingSocial relationMode (computer interface)Working hoursPaid workSocial activity

Abstract

fetched live from OpenAlex

This study investigated the mechanisms through which daily work mode (i.e., working from home [WFH] vs. working at the office [WATO]) influences daily fulfillment of psychological needs. Drawing from self-determination theory (SDT), we hypothesized that employees experience higher fulfillment of the needs for autonomy and competence, and lower fulfillment of the need for relatedness, on days when they are in the WFH mode than on days when they are in the WATO mode. We further hypothesized that perceived monitoring, interruptions, and social interactions are mechanisms through which these daily effects occur. WATO prevalence (the percentage of co-workers at the office) was explored as a potential moderator. Participants (N = 136) completed an end-of-day diary for one workweek (620 observations). Consistent with our hypotheses, we found that employees experienced higher daily fulfillment of the need for autonomy, and lower daily fulfillment of the need for relatedness, when working from home vs. when working at the office, and that these relations were partially mediated by perceived monitoring and positive social interactions, respectively. Daily work mode was not related to daily fulfillment of the need for competence, but was related to daily interruptions (i.e., intrusions, distractions, and breaks). WATO prevalence strengthened the relation between daily work mode and daily fulfillment of the need for relatedness. This research advances the application of SDT to hybrid work, contributing to the literature on need fulfillment. Organizations can enhance employee motivation by offering hybrid work arrangements and minimizing surveillance practices, thereby fostering autonomy and relatedness.

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.

How this classification was reachedexpand

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.028
GPT teacher head0.298
Teacher spread0.270 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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