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Record W7105859221 · doi:10.1108/jrim-01-2024-0045

Interactive signaling grouping strategies and long-tail effects in E-commerce platform contexts

2025· article· en· W7105859221 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Research in Interactive Marketing · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Comparative Analysis Research
Canadian institutionsEducation and Early Childhood Development
FundersHumanities and Social Science Fund of Ministry of Education of ChinaNational Natural Science Foundation of China
KeywordsPurchasingSIGNAL (programming language)Consumer behaviourCertificationService (business)Transaction data

Abstract

fetched live from OpenAlex

Purpose This study aims to explore the complex driving mechanisms of bilateral platform interaction signals on consumer shopping behavior, reveal consumer response strategies to interaction signals, improve platform recommendation algorithms and service efficiency, expand merchant marketing strategies and enhance consumer information utility and satisfaction. Design/methodology/approach Based on the Elaboration Likelihood Model (ELM), the signal entities of a two-sided platform are categorized into merchants, consumers and the platform itself. A configuration strategy research model is constructed to guide consumer decision-making. First, using product exposure, click and transaction data from 64,184 users, a pre-experiment explores the interactive effects of price, review value and supplier certification to validate the existence of interactive signal configuration effects. Additionally, the Fuzzy-set Qualitative Comparative Analysis (fsQCA) method is employed to investigate the synergistic and long-tail effects of interactive signals on consumer browsing and purchasing behavior. Findings Exploratory research has found that multi-party interaction signals have substitution and complementary effects, and their configuration strategies exhibit asymmetry, equivalence and marginal characteristics. In addition, based on the screening of consumer groups with low browsing but high purchasing, this study proposes specific signal configuration strategies for long-tail groups. Originality/value This study constructs an integrated interpretive framework for interactive signal configurations, employing a mixed-method approach combining regression analysis to test interactive effects and fsQCA to analyze configuration patterns, thereby overcoming the limitations of studies focused on single signals or stages. Theoretically, this framework expands the application of signal theory in interactive scenarios, refines the signal mechanisms underlying two-stage decision-making under the ELM and connects curiosity-driven and cognitive load theories to explain long-tail group behavior. Practically, the proposed configuration strategies can reduce platform resource redundancy, provide new pathways for long-tail market operations and enhance marketing precision and decision-making efficiency.

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)0.037
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.003
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 head0.110
GPT teacher head0.522
Teacher spread0.411 · 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