Country images of technological products in Taiwan
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
This article presents the results of a survey of 202 male Taiwanese consumers. In this study, consumer judgements of two technological products varying in their level of complexity made in highly, moderately, and newly industrialised countries were obtained in a multi‐attribute context. The results show that the country‐of‐origin image of moderately and newly industrialised countries was less negative for technologically simpler products (i.e. a television) than they were for technologically complex products (i.e. a computer). It appears that the negative image of moderately and newly industrialised countries can be attenuated by making Taiwanese consumers more familiar with products made in these countries and/or by providing them with other product‐related information such as brand name and warranty. Newly industrialised countries were perceived more negatively as countries of design than as countries of assembly, especially in the context of making technologically complex products. The image of foreign countries as producers of consumer goods was positively correlated with education. The more familiar consumers were with the products of a country, the more favourable was their evaluation of that country. Consumer involvement with purchasing a technologically complex product such as a computer was positively associated with the appreciation of products made in moderately industrialised countries. Managerial and research implications are derived from these results.
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 | 0.002 | 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 | 0.000 | 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