The role of reference points and organizational identity in strategic adaptation to performance feedback
Bibliographic record
Abstract
Purpose This study aims to elucidate reference points and organizational identity in letters to shareholders (LTSs) of publishing companies and develops propositions on their relation to strategic adaptation. This study examines how characteristics of reference points (number, temporality and specificity) and organizational identity (focus, discontinuity and distinctiveness) relate to strategic adaptation. This research advances performance feedback theory and behavioral strategy by presenting rich data on how managers use reference points. This study also theorizes on the role of organizational identity as an observation frame. Finally, this study informs managers on how they can adapt reference points and organizational identity to drive strategic adaptation in their organizations. Design/methodology/approach This paper uses text analysis of LTSs of eight companies in the global publishing industry over six years. The research design is an exploratory, comparative case study. Findings The authors present the findings of rich empirical data analysis of reference points and organizational ideology, develop a typology and propose three proposed relationships. This paper develops three propositions on how characteristics of reference points (number, temporality and specificity) and organizational identity (focus, discontinuity and distinctiveness) relate to strategic adaptation. Originality/value This study elucidates reference points that managers use when they make sense of performance feedback. This study further develops a typology of reference points and suggests propositions on how reference points and organizational identity relate to strategic adaptation. The novel linguistic approach to revealing reference points-in-use and the study of decision-making in its empirical context contribute to a better understanding of the micromechanims of decision-making that are central to behavioral strategy.
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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 | 0.007 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 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".