Kant’s Categorical Imperative and the “Business” of Profit Maximization: The Quest for Service Paradigm
Bibliographic record
Abstract
The discourse in the business world has gone beyond the primary purpose of business. While some scholars would argue that the primary purpose of business is profit maximization, others are of the opinion that business, beyond maximizing profit, exists to promote and enhance the well-being of humanity. Between these two divides, this paper attempts to contribute robustly to this perennial dialogue by interjecting Kant’s categorical imperative in pursuing the argument that though profit maximization is essential for business expansion, nonetheless the value of the human persons—both customers and employees—is equally and primarily essentially. Within the scope of this study, the researchers appeal to literature as case studies were presented to underscore the various attempts at making profit and pursuing personal economic benefit by some entrepreneurs without taking cognizance of the importance of the human persons that buy their proposed products. At the end, this paper vehemently appeals to the moral consciousness of entrepreneurs across the globe to integrate moral values to their pursuit of business profit and economic expansion.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.069 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".