On the reconfiguring value creation logic and networks of the forest sector in a changing business environment
Bibliographic record
Abstract
Numerous phenomena, such as sustainability challenges and the increasing importance of knowledge and digitalisation, have tremendous impacts on the global socio-economic system. These phenomena affect the dynamic and complex business environment where different actors from various sectors interact with each other. Responding to the phenomena and changes in the business environment calls for a systemic change in the ways that value-creating activities are performed. One suggested systemic change is a transition to a sustainable circular bioeconomy. Changes in the business environment pressure established business sectors, such as the forest sector, to reconfigure their networks and value creation logic, i.e., the ways in which actors co-create value. In this dissertation I investigated how the value creation logic of the forest sector changes when entering the sustainable circular forest-based bioeconomy. The research design followed a qualitative theory-guided interdisciplinary case study strategy. I analysed scientific and non-scientific documents to determine the past and currently occurring adaptations within the forest industry’s value creation logic. I conducted interviews to identify the possible future value creation logic of forestry service providers and the readiness of forest owners to respond to the occurring changes. According to the findings, the forest sector’s value creation logic is incrementally changing towards holistically sustainable, collaborative and cross-sectoral value co-creation logic. The sector has been able to reconfigure its networks and value creation logic in the past and it seems that the sector’s actors have understood the importance of cross-sectoral collaboration and intangible resources in the sustainable value-creating activities. They have acknowledged that their attitudes and actions will affect the future value creation within the sector. To reach holistic sustainability, actors need to consider the whole forest ecosystem as a capital and a resource base from where value and benefits for the common good are co-created in a forest-based sector.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".