Should I Stay or Should I Go? Worker Commitment to Virtual Organizations
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.
Bibliographic record
Abstract
As society enters the twenty-first century there is a growing realization that information technology (IT) is heavily influencing organizational structures [1]. One such structure is the virtual organization, in which individuals rely on IT to mediate traditional geographical and temporal boundaries of the firm. The result is a "company without walls" that operates as a virtual "collaborative network of people," independent of location or affiliation [2]. This paper is concerned with exploring how this IT-enabled shift influences worker commitment, a critical factor identified in the organizational behavior literature. Using Wenger’s practice-based learning perspective and theory of legitimate peripheral participation (LPP), we conducted a longitudinal, qualitative analysis of commitment in one open-source software (OSS) project. Results indicate that commitment was strongly associated with engagement in LPP processes (participation, learning and identity transformation). Theoretical contributions and managerial implications are discussed.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it