The relationship between resources and market coverage in small local internet retailing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this paper is to investigate the association of e-channel resources with market coverage of small local retailers. Design/methodology/approach – This survey-based study collects data from 147 North American florists who use web sites as e-channels. The data are analysed through a set of multi-nomial logistic regressions, and multiple analysis of covariance. Measurement validation is conducted before data analysis. Findings – Considering two resources, e-IT competence and e-service agility − both critical for providing e-services − this study finds that e-service agility is significantly associated with market coverage. This paper also verifies that small local retailers who have wider market coverage than their competitors achieve higher performance from an e-channel. However, the retailers with wider market coverage do not have higher total retail sales. Practical implications – Practitioners should carefully consider the imbalance between the cost of resource development to enable market extension and the eventual performance return. Market extension requires a high level of e-service agility, but the corresponding performance return may be inadequate. This finding advises the owners or managers of small local retailers to have a complete resource plan for the effective use of an e-channel. Originality/value – This is the first survey-based study on the relationship between resources and market coverage for small internet retailing. The study uses cross-disciplinary perspectives to examine the practices of internet retailing and the resources required, based on insights on marketing, operations management, and management information systems.
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.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it