Communicating virtually in a global organization
Bibliographic record
Abstract
Purpose – The purpose of this paper is to consider the extent to which changes in communication media are associated with changes in the nature of manager-expatriate employee communications. Using an affordance lens, the authors explore how hierarchical level and communication medium interact to influence status dynamics manifested in communication attributes. Design/methodology/approach – The hypothesis was tested with a 2 (hierarchical level)×3 (communication media) multivariate analysis of covariance (experience level) in a sample of 1,193 messages that were transmitted between managers and field employees in a global organization over a ten year period. Findings – The authors found significant interaction effects between communication media and hierarchical level on communication attributes such that changes in communication media intensified status differences between managers and their employees. Research limitations/implications – Communications media may be appropriated differently depending on one’s hierarchical level. Practical implications – Managers should adopt new communication media more consciously given their potential influence of how people communicate. Originality/value – Unlike many computer-mediated communications (CMC) effects studies that compare face-to-face communications with CMC or employ self-report questionnaires or laboratory designs with student samples, this study examines a complete set of manager-employee communications over an extended period of time.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".