Success Factors of Local Retail Apparel Clothing Brands in a Southeast Asian Market
Bibliographic record
Abstract
Purpose—The purpose of the study is to explore and identify the factors that shape the success of local retail apparel clothing brands in a Southeast Asian market, Bangladesh. The study further offers relevant propositions on the basis of the results. Design/methodology/approach—Focus group methodology was used for data collection from the local retail clothing consumers of Dhaka and Chittagong divisions in Bangladesh. Framework analysis was applied for coding, categorizing, identifying the themes from the audiotapes and transcripts. The focus group transcripts were coded for common themes, issues, or ideas as expressed by the participants. Similar responses were identified from a prepared data matrix on the basis of the most frequent mentioned and less frequently mentioned responses. The research results were presented in a narrative to retain the authenticity of the local dialect and provide insight into the consumer behavior. Findings—Three critical factors were identified responsible for the success of local retail apparel clothing businesses in Bangladesh. The results revealed that the retail companies were heavily benefited by the adoption of intrinsic/extrinsic factors (product quality, price, and building retailers’ reputation and brand name) and culture specific marketing efforts (after sales service, easiness of online transaction, convenient location, store atmosphere, availability of outlet, promoting cultural events, and local celebrity endorsement). The companies were further found advantageous of the socio-economic factors of the country (increase of purchasing power, rapid expansion of tertiary academic institutions, family influence, and change of behavioral pattern). Originality/value—The study enriches the consumer behavior literature related to local retail apparel branded companies and leaves implications to both the mangers and academics.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 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".