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Record W3042324396 · doi:10.3390/jrfm13070152

A Qualitative Approach to the Sustainable Orientation of Generation Z in Retail: The Case of Romania

2020· article· en· W3042324396 on OpenAlexvenueno aff
Dan‐Cristian Dabija, Brînduşa Mariana Bejan, Claudiu Pușcaș

Bibliographic record

VenueJournal of risk and financial management · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityBusinessMarketingOrder (exchange)Qualitative researchPerspective (graphical)PerceptionResource (disambiguation)PsychologySociologyComputer science

Abstract

fetched live from OpenAlex

In order to highlight the extent to which young consumers, or members of Generation Z, are familiar with the sustainability principles implemented by retailers operating in emerging markets, the authors conducted a qualitative empirical research study with the help of a semi-structured in-depth interview guide. Respondents were asked to express their perception of the extent to which their favorite retailers adopted and implemented the social, economic, and environmental dimensions of sustainability. The results show that respondents viewed retailers’ sustainability orientation favorably, specifying concrete measures implemented by their preferred retailers. They seemed to favor those retail networks making a useful and proactive contribution to resource preservation and environmental protection, whilst taking care of employees’ welfare and being involved in their local communities. From a theoretical perspective, the paper makes a clear contribution to enhancing the generational theory-based studies on emerging markets, where market conditions and polyvalent consumer behavior are highly dynamic, and where sustainability principles play a major role in drawing and maintaining their customers. From a management perspective, the paper provides retailers with an overview on the measures, tactics, and actions that allow them to properly target consumers and develop a proper customer approach strategy.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.305
Teacher spread0.275 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations83
Published2020
Admission routes1
Has abstractyes

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