Exploring Global Followership Phenomenon in Global Organizational Context: A Study of Global Followers Within Global Technology Companies
Bibliographic record
Abstract
The purpose of this phenomenological study was to explore the lived experiences of global followers within global technology organizations and how they develop their global followership behaviors. The global followership concept differs from followership in domestic contexts due to the complexities of the global environment, such as the intersection of multiplicity, complexity, ambiguity, and flux influence in the context of global business operations. The present study used three research questions: (1) How do global followers at global technology organizations describe their lived experiences that help them develop global followership behaviors? (2) How do global followers describe how global organizational context plays a role in global followership development processes? (3) How does global followers’ national culture shape their global followership behaviors? Purposeful and snowball sampling strategies were used to recruit the seven participants who agreed to participate in the study and give semi-structured interviews. Data analysis revealed four core themes: 1) following effectively, 2) following globally, 3) developing continuously, and 4) managing challenges. The critical importance of the findings such as adjusting cultural norms, staying up to date, and effectively communicating that influence the ability to engage followers in global leadership processes have shown that global followers are equal contributors to global leadership outcomes within global technology organizations. The findings will help future global followers and global leaders to better contribute to co-construction of global leadership processes in their organizations
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".