A Matter of Transition: Authenticity Judgments and Attracting Employees to Hybridized Organizations
Bibliographic record
Abstract
Category-spanning organizations have been shown to face a number of penalties compared with organizations occupying a single category. The assumption seems to be, however, that organizations spanning the same categories will be evaluated similarly. Yet, this is not always the case. We know far less about why evaluations may differ within category-spanners, largely due to existing studies’ focus on comparing single-category to category-spanning organizations in equilibrium states at a fixed point in time. Instead, this paper investigates audience judgments of organizations as they transition from single to multiple categories. We rely on the empirical setting of social-commercial hybrids—an intriguing context in which to explore category-spanning across market and nonmarket domains associated with distinct values, norms, and expectations. In a series of two experimental studies, we investigate how hybridization affects audience judgments of organizational authenticity and the ability to attract potential employees. We find that across organizational fields associated with nonprofit (communal) and for-profit (market exchange) norms, hybridization—more than hybridity itself—triggers audience cynicism and leads to decreased judgments of authenticity. However, the penalties for hybridizing are only observed when organizations also move away from field-level profit-status norms. The findings contribute to the category-spanning and authenticity literatures by integrating social psychological and organizational theory perspectives to offer a dynamic view of spanning beyond for-profit, market contexts. They also offer empirical support for the theorized multidirectionality of mission drift in hybrid organizations, while suggesting that drifting need not always be detrimental. History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory. Supplemental Material: Supplemental online materials are available at https://doi.org/10.1287/orsc.2021.1495 .
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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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".