Innovative Responses to Exogenous Shocks in Indonesian Transportation Firms: Mediating Role of Sustainable Performance and Outcomes
Bibliographic record
Abstract
Innovative responsiveness to exogenous shocks for sustainability is a proactive methodology for mitigating and adapting to unforeseen events and challenges that could jeopardize the sustainability of ecosystems or organizations.This research aims to examine three innovative strategies-minimizing impact, shifting approaches, and short-long term planning-for responding to exogenous shocks in two Indonesian private sector transportation firms, Gojek and Grab, and the influence of this response on sustainable development.In addition, sustainable performance and outcomes are employed as mediators between the innovative response and sustainable development.A total of 385 drivers from Gojek and Grab in Yogyakarta, Indonesia, were enlisted to answer questionnaires.The survey was distributed online via social media applications, and the collected data was analyzed using SEM-PLS 4. The findings indicate that the innovative response strategies to exogenous shocks-including minimizing impact, shifting to new approaches, and short-and long-term planning-were effective and contributed to the sustainable development of both companies.The results also suggest that minimizing impact has a negative but insignificant impact on sustainable outcomes, whereas both sustainable performance and outcome positively enhance the sustainable development of both firms.These research findings contribute to the literature by addressing a gap related to sustainability during crises in the Indonesian context.They also have practical implications by raising awareness of innovative, technology-based solutions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".