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Record W4385971277 · doi:10.5267/j.uscm.2023.8.002

The implementation of purchasing omnichannel marketing based through the expansion of the UTAUT 2 model ,

2023· article· en· W4385971277 on OpenAlex
Desak Made Febri Purnama Sari, Ni Wayan Sri Suprapti, I Putu Gde Sukaatmadja, Tjokorda Gde Raka Sukawati

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUncertain Supply Chain Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOmnichannelPurchasingMarketingSample (material)Product (mathematics)Service (business)BusinessVariablesPopulationData collectionPsychologyStatisticsMathematics

Abstract

fetched live from OpenAlex

This study studies the influence of omnichannel service benefits in customer product purchasing decisions and investigates the omnichannel adoption behavior of customers in fashion apparel retail in Bali. Data collection is completed twice in stages I and II, covering fifteen to thirty days (15-30). The population in this study is a group of Balinese customers with high adaptation to technology. The maximum sample in this study is 210 respondents. The study findings reveal that their path coefficient values supported some hypotheses while some others were not supported. The research findings indicate that the variables of service integration and perceived effectiveness cannot be proposed to expand the UTAUT 2 model. The technology familiarity variable can be the variable proposed to expand the UTAUT 2 model. This study’s findings confirm the inconsistent relationship between the effect of intention to purchase apparel products on product purchase behavior that could be overcome by studying behavioral intention to use behavior using a longitudinal method. Implications of research through the data collection method involves two stages of research by collecting the same sample group, which is declared to be able to observe changes in customer behavior.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.031
GPT teacher head0.283
Teacher spread0.252 · 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