Kommunikation konstituerar kompetens : En utforskande studie om besöksnäringens syn på kommunikation för kompetensförsörjning
Bibliographic record
Abstract
This study explores communication in the hospitality sector in the context of the ongoing talent crisis. Through the application of a CCO-perspective based on the Montréal school, as well as employer branding, this study expands upon the literature by combining the two. The study takes an approach to communication as central in retaining and attracting talented employees and focuses on what role communication plays in the studied organizations’ ability to do so, as well as identifying concrete ways in which communication influences the way these organizations attract and retain employees. A qualitative thematic analysis was used to analyze the interviews conducted with respondents in management positions at four organizations within the hospitality sector in Uppsala. Additionally, text data related to employee communication was used as data for the analysis. The study identifies several key patterns in the communication used by the studied organizations. Three main themes were identified, namely organizational culture as an unconscious strategy for employer branding, conversations having more agency than texts, and communicative strategies for competence supply. The last theme was divided into an additional three themes portraying the picture that the sector is more focused on retaining talent, rather than attracting; that consistent communication has a great impact on competence supply, and that management creates meaning for employees through a sense of professional pride. The results suggest that the way in which an employer communicates plays a pivotal role in the talent crisis, and how well an organization is able to retain and attract employees.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.018 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".