External stakeholders and the social enterprise (SE) identity formation in a developing country context: a social exchange perspective
Bibliographic record
Abstract
Purpose Drawing on theories of organisational identity, social exchange and stakeholder engagement, this study aims to investigate the processes and practices involved in the formation and shaping of identities of social enterprises (SEs) that operate in the Malawian hospitality and tourism industry. Design/methodology/approach Drawing on an interpretive research paradigm, data collected from 22 semi-structured interviews with four founders of case SEs and stakeholders, and SEs’ reports and other publicly available documents were generated and analysed following a grounded theory approach. Findings The authors show that the trajectory SEs followed and the exchanges that occurred with the external stakeholders allowed three out of four case SEs to swiftly re-evaluate their pre-existing identities and work towards the formation of their new identities. Practical implications This study provides an opportunity for policymakers and other actors in developing countries to frame and place SEs in line with the wider societal realities in such contexts. This may in turn call for policymakers to increase actors’ engagement with SEs and provide the necessary support that can allow SEs to be an effective force for the public good. Originality/value This paper highlights the role of exchanges with external stakeholders in identity formation and shaping within SEs in the hospitality and tourism sector in the context of institutional voids. By adopting the social exchange theory, this paper introduces a dynamic lens to identity formation and shaping and helps to explain how, across different tourism ventures, stakeholder engagement and different modes of exchange unfold in the inter-organisational and community domains. It further shows how the ventures’ value orientations on the one hand, and stakeholder engagement practices and the ensuing exchanges, on the other hand, are closely interwoven.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.025 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".