Supply chain integration for middle-market firms: a qualitative investigation
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 This research seeks to identify the motivations, means and outcomes of supply chain integration (SCI) among firms in the middle market (i.e. those with annual revenues between US$10m and US$1bn). These firms often interface with larger, more powerful firms in the supply chain – both suppliers and customers. Understanding how these firms are challenged and benefit from integrative mechanisms in supply chain relations can lead to better outcomes more often. Design/methodology/approach The research utilizes an online focus group methodology featuring 39 participants. The participants were able to interact in written form with a professional moderator, as well as each other, over the course of three days. Findings The research presents evidence that firms in the middle market adopt SCI as a response to pressure from customers and suppliers. These firms also view technology as a primary means of achieving integration. Despite their disadvantageous size position relative to larger customers and suppliers, firms in the middle market achieved positive outcomes from integration. Research limitations/implications Because of the specific context of middle-market firms, this research may lack generalizability. However, providing contextualization regarding firm size contributes specificity to the large number of studies detailing the challenges and benefits of SCI. Practical implications Managers of firms in the middle market should find value in this study as it explicates the possible benefits their firms may realize through integration with customers and suppliers. Moreover, this research outlines several of the possible means through which integration can be achieved. Further, managers in smaller and larger firms can better understand the motives and needs of middle-market companies with which they interact. Originality/value Despite voluminous literature on SCI, this paper provides context-specific findings by isolating the implications of SCI to firms in the middle market.
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 | 0.003 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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