Bibliographic record
Abstract
Research methodology One of the case writers worked as a student in the summer of 2018 in EnoLight, which provided the inspiration for the case. The first author is not tied to the company and provides an unbiased perspective. The information presented in the case and the quotes were sourced from an interview with Farzad Moghiman in the Fall of 2018, email and phone follow-up with him, and information the second author remembered from his time at EnoLight, which was approved later by Farzad. Supplementary information was obtained from online sources, as cited in the case. Case overview/synopsis Farzad Moghiman, president of EnoLight, has a vision to revolutionize the use of light and bring it to the forefront of artistic designs. The company was founded in late 2016. Over a year was spent developing the business plan, finding additional partners, establishing the company as a limited partnership, finding and negotiating with suppliers and beta-testing its products. It is now time for Farzad to start selling as his funds, which were his lifetime savings, is running out. He knew the first decision to make was the target market. Identifying the first segment to target would help him select the distribution channel and other marketing plan elements. Complexity academic level The main objective of this case is to segment the market and identify the most attractive segment to target. This case offers an opportunity for students to segment both consumer and business markets and experience the significant impact of selecting the target market on other marketing mix elements. Furthermore, students are exposed to the difficulties of a start-up environment, resource constraints and a lack of market credibility – bearing these factors in mind while generating realistic alternatives. This case can be used in an introductory marketing course. Learning objectives 1. Apply segmentation variables to segment both business and consumer markets and understand how segmentation and targeting impact other marketing decisions.2. Evaluate different customer segments to select the target market.3. Develop the best positioning strategy for a new startup company.4. Recommend an segmentation, targeting and positioning (STP) plan that meets the company’s financial objective.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".