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Record W2577923797 · doi:10.1108/jcm-07-2014-1069

The evolving gift-giving practices of bicultural consumers

2017· article· en· W2577923797 on OpenAlexaffabout
May Aung, Xiying Zhang, Lefa Teng

Bibliographic record

VenueJournal of Consumer Marketing · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAcculturationImmigrationReciprocity (cultural anthropology)HomelandEthnic groupChinaSociologyMarketingChinese americansGift givingConceptual frameworkEmpirical researchQualitative researchFocus groupAdvertisingSocial psychologyPsychologyBusinessPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

Purpose The purpose of this study is to offer a better understanding of contemporary consumer behaviour. This study relates to the complex and value-laden phenomenon of “gift-giving” from the perspective of bicultural consumers. The focus was on the gift-giving practices of Chinese immigrants in Canada within both their current and their past residencies (Canada and China, respectively). Design/methodology/approach Conceptual guidelines for this study embodied the gift-giving conceptual framework of Sherry (1983) and Chinese cultural values on gift giving (Yau et al., 1999). A qualitative research study was implemented. Specifically, in-depth interviews with Chinese immigrant women mainly from the Greater Toronto Area (GTA) in Ontario, Canada, offered empirical evidence relating to the gestation stage of gift giving. Findings The findings indicate the complexity of acculturation in gift-giving practices. In terms of gift-giving occasions, Chinese immigrants in Canada, for the most part, adopted the Canadian gift-giving occasions. However, the important role of ethnicity in decision-making is found through their strong sense of differentiation between Chinese and Canadian gift receivers. The results also indicate some Chinese cultural values such as relationship, reciprocity and group orientation as being still important in shaping gift-giving practices, even after immigration to a new country quite distant from the homeland. One cautionary note is that some cultural values such as relationship can be common to both Chinese and Canadian cultural groups. Research limitations/implications This research was conducted mainly in the GTA in Ontario, Canada. Future studies could address other large Canadian cities with significant bicultural Chinese populations such as Vancouver in British Columbia and Motreal in Quebec. Practical implications This research extends the knowledge of bicultural consumers by examining the evolving gift-giving practices of Chinese immigrants living in Canada. A good understanding of the cultural values important to bicultural consumers will help marketers to efficiently and effectively allocate their marketing resources in attracting these niche consumers. Social implications This study has contributed to the broader field of marketing research. Specifically, the current study offers the importance of understanding values transference of bicultural consumers and their behaviours in integrating into the mainstream gift-giving cultural context. Originality/value This study has contributed by offering evidence of how a minority consumer group formed complex acculturation realities within a gift-giving consumption context. This contribution can be counted as a step towards theoretical advancement in the field of acculturation and of understanding bicultural consumers.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.468

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.041
GPT teacher head0.304
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2017
Admission routes2
Has abstractyes

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