Of countries, places and product/brand place associations: an inventory of dispositions and issues relating to place image and its effects
Bibliographic record
Abstract
Purpose This study focuses on an inventory and typology of consumer dispositions towards “place” and relates it to the underlying theories, inputs and outcomes of place images and attitudes, aiming to unclutter a crowded research landscape by providing a holistic perspective of product/brand place associations. Design/methodology/approach The paper draws on extant literature to identify, analyze and discuss the consumer dispositions, theories and other elements related to place. Findings In total, 32 dispositions, 10 inputs to image formation, 28 permutations that complicate the understanding of place images, and 18 outcomes are discussed, providing a comprehensive perspective of the images of, and behaviours towards, various types of places from neighbourhoods to countries and beyond. Research limitations/implications Of the large number of constructs and combinations among them that are discussed, some have been studied fairly extensively, but most comprise “the road(s) less travelled”. The paper identifies relevant research gaps and numerous opportunities for new research. Practical implications Managers are aware and act upon some of the inventoried dispositions but can benefit by considering the complete array of constructs and concepts that are discussed. Social implications Individuals’ dispositions towards various places help to shape their self and social identities and are important in their daily life and consumption behaviour. Originality/value The study brings together for the first time a complete inventory of place-related dispositions alongside a wide range of related theories and concepts, thus advancing our knowledge of the nature and role of the country and other place-related images of products and brands.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".