Bibliographic record
Abstract
Purpose In today’s rapidly changing workforce environment, organizations seek ways to increase productivity to remain competitive. The central human capital strategy is to attract the best talent and increase individual and team productivity to reach its strategic goals. Human Resources (HR) Professionals are required to attract, retain, train and develop employees to exhibit critical citizenship behaviours. The purpose of this paper is to present organizational-based research on why exemplary followers are considered valuable, as well as contribute to the understanding and discourse of the important role “exemplary followers” have for organizations. Extant followership constructs will be linked to key HR processes to illustrate how organizations can select, develop and retain “exemplary followership” to safeguard organizational sustainability. Design/methodology/approach A brief overview of HR systems and processes to enhance exemplary followership in employees is presented for training and development purposes. A range of research and practitioner papers are reviewed with the aim of illustrating the importance of and the key constructs for exemplary followership and to suggest practical applications for its development within organizations’ HR processes. Findings By understanding the importance and implications of exemplary followership development, the author will suggest practical HR tools that may be adopted, whole or in part, thus improving organizational sustainability. Practical implications Providing ways for HR to increase exemplary followership through learning and growth might help to expand practical followership development programmes in organizations at all levels. Originality/value This paper has drawn on limited followership organizational performance research done in the USA and Ghana and overall research in this area. It has discussed the Followership Continuum Model as a prescriptive tool for organizations to use. All Followership research has simply provided foundational constructs to be used in the original work the author developed for increasing exemplary followership in organizations through HR processes. There is no research like this to the author’s knowledge.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".