Exploring the Nexus of Sustainable Entrepreneurship: A Qualitative Inquiry into the Interplay of Inflation, Service Quality, and Technology Adoption in Business Processes within the TOE Framework
Bibliographic record
Abstract
Abstract This qualitative inquiry delves into the intersection of sustainable entrepreneurship, exploring the interplay among inflation, service quality, and technology adoption within the Technology-Organization-Environment (TOE) framework. The primary objective is to gain profound insights into the adaptive strategies employed by entrepreneurs, illuminating their commitment to sustainability amidst economic uncertainties. In adopting a qualitative research design, the study employed semi-structured interviews with entrepreneurs actively immersed in sustainable ventures. Thematic analysis served as the methodological lens, allowing for the systematic identification of patterns and connections within the collected data. The findings reveal the intricate dynamics of sustainable entrepreneurship. Entrepreneurs strategically navigate the challenges posed by inflation, showcasing innovative approaches such as dynamic pricing mechanisms. Service quality emerges as a linchpin, not merely as a transactional consideration but as a fundamental element fostering customer relationships. Moreover, technology adoption is unveiled as a transformative force, influencing both operational efficiency and the overarching sustainability of ventures within the TOE framework. Acknowledging the qualitative nature of the study, there is a recognition of the limitations in terms of generalizability. Future research endeavors could enrich the exploration by incorporating the perspectives of diverse stakeholders and broadening the sample, thereby enhancing the applicability of the study's insights. Practically, entrepreneurs stand to benefit from the study's findings by gaining practical insights for adeptly navigating economic uncertainties. The research underscores the significance of fostering customer relationships and strategically incorporating technology to align with sustainability goals. In the realm of societal implications, this study contributes significantly to the ongoing discourse on sustainable entrepreneurship. It emphasizes the broader benefits accruing to society when businesses are steadfastly committed to environmental and social responsibility. The originality and value of this research lie in its provision of unique insights into the interconnected dynamics of sustainable entrepreneurship. By shedding light on how entrepreneurs intricately balance economic viability with environmental and social goals, the study adds depth to the current understanding of sustainable business practices. As with any research endeavor, limitations are acknowledged. Sample specificity and potential researcher bias are recognized factors that may influence the generalizability of the findings. These constraints, however, do not diminish the valuable contributions made by this exploration into the multifaceted landscape of sustainable entrepreneurship.
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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 | 0.017 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".