Inflation, Price Hike, and Service Quality: A Comprehensive Analysis of Customer Perception in the Realm of Sustainable Entrepreneurship
Bibliographic record
Abstract
Abstract This qualitative research explores the intricate dynamics of customer perceptions within the realm of sustainable entrepreneurship, specifically examining the influences of inflation, price hikes, and service quality. Through a thorough thematic analysis of semi-structured interviews, this study seeks to unravel the complex interplay between these economic factors and customer perspectives, providing valuable insights for businesses navigating the challenges of economic uncertainty. The findings underscore the significance of adopting a holistic approach when addressing economic challenges. Transparent communication emerges as a cornerstone, with businesses that prioritize open and honest engagement better positioned to retain customer loyalty in the face of inflation and price hikes. Trust-building efforts, anchored in reliability and transparency, are revealed as critical components of successful business strategies. Service quality emerges as a key differentiator, acting as a resilient factor that not only contributes to customer satisfaction but also mitigates the negative impact of economic fluctuations. The study emphasizes the strategic imperative for businesses to invest in customer experience, particularly during periods of economic challenges. Furthermore, sustainable entrepreneurship practices are identified as a positive influence on customer perceptions. Businesses committed to environmental and social responsibility are perceived as more trustworthy and resilient, contributing to an enhanced brand image. While offering practical implications for businesses seeking to navigate dynamic market environments, this study acknowledges its limitations and suggests avenues for future research. The complex interplay between economic factors and customer perceptions provides a foundation for continued exploration, positioning this research as a valuable contribution to the fields of business strategy and 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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".