Interviews with Library Directors Suggest That Political Capital is Linked to Reputation
Notice bibliographique
Résumé
A Review of: O'Bryan, C. R. (2018). The influence of political capital on academic library leadership. Library Leadership & Management, 34(4). Retrieved from https://journals.tdl.org/llm/index.php/llm/article/view/7292 Abstract Objective – To understand how library directors use political capital to overcome challenges and reach goals in their libraries. The author defines political capital as social power that is amassed through reputation and alliance building. This social power can be used to influence decisions and change at an organizational level. Design – Narrative interview. Setting – A large state university system in the Northeastern United States of America. The system includes a network of 64 independent campuses serving different communities with a total population of 460,000 undergraduate and 420,000 graduate students. Subjects – 12 library directors from within a single state university system. Methods – The author conducted in-depth narrative interviews with participants focusing on critical incidents throughout their careers and recent events. The author used restorying, reorganizing the data into chronological order before coding, and thematic analysis, using a software program to code the data and then revisit all the data with finalized codes to make any adjustments. Main Results – Several themes emerged in the interview data including interactions with administration, methods for building political capital, applying and using political capital, and building reputation. Within the interactions with administration theme, the author observed a strong connection in the hierarchy of the institution. Directors expected a high level of engagement and support from their direct reports and felt that providing this type of work to University administration would provide a return on investment for the library in terms of budget and support for new efforts or HR challenges. The theme of administrative turnover emerged as a possible barrier to establishing this relationship. In terms of building political capital, most participants did not set out to do this purposefully but instead sought to develop a reputation as a "team player" willing to participate in campus-wide initiatives and who would return positive outcomes. Participants expressed that it was difficult to know how much political capital they had acquired until they attempted to use it towards a goal. Eight of the participants provided narratives that included applying and using political capital, with two reporting that their political capital diminished after they had applied it towards a goal. Other participants suggested that applying political capital increased their store when it was spent toward accomplishing higher-profile goals. The importance of communication was clear in the building reputation theme, several participants indicated that their communication skills helped establish a reputation for competence and credibility in interactions both up and down the chain of command. Communication was a key factor in developing relationships across the institution, particularly with high-level administrators, and developing relationships was another area of importance for participants. Two of the participants indicated that they had and used political capital in specific areas and for smaller, day-to-day changes. Eight participants used their political capital for bigger initiatives, such as budget, human resources, and library space. Conclusion – While a few of the directors explicitly linked their activities to political capital and felt that applying their political capital increased their standing with stakeholders, most participants did not generally link the development of political capital to individual events. Instead, they suggested that generally establishing reputation and trust through excellent communication and relationship building would help them achieve success toward their goals.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,007 | 0,006 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,016 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».