Digital marketing adoption and success for small businesses
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Metaresearch
- Consensus categories
- Metaresearch
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: Observational
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.429
- Threshold uncertainty score
- 0.999
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.347 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Purpose This paper aims to examine small business’ participation in digital marketing and to integrate the do-it-yourself (DIY) behavior model and technology acceptance model (TAM) so as to explore the motivations and expected outcomes of such participation. Design/methodology/approach Data from 250 small business owners/managers who do their own digital promotion are collected through an online survey. Structural equation modeling is used to analyze the relationships between the models. Findings The results contribute to the understanding of small business’ digital marketing behavior by finding support for the idea that the technological benefits may not be the only motivators for small business owner/managers who undertake digital marketing. Moreover, and perhaps more importantly, the authors find that the DIY behavior model applies to small business owner/managers who must perform tasks that require specialized knowledge. Research limitations/implications The limitations of this research are that the motivations to undertake digital marketing are limited to those contained in the DIY and TAM models, and the sample may not be representative of all owners and managers who perform digital marketing for their small businesses. Therefore, future research is needed to determine if further motivations to conduct digital marketing exist and whether other samples produce the same interpretations. Originality/value This study presents empirical evidence supporting the application of the DIY model to a context outside of home-repair and extends the understanding of digital footprint differences between large and small businesses.
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.
The record
- Venue
- Journal of Research in Interactive Marketing
- Topic
- Digital Marketing and Social Media
- Field
- Social Sciences
- Canadian institutions
- Athabasca University
- Funders
- not available
- Keywords
- MarketingDigital marketingOriginalitySmall businessPromotion (chess)BusinessContext (archaeology)Structural equation modelingTechnology acceptance modelMarketing researchBusiness modelValue (mathematics)UsabilityComputer scienceQualitative researchSociology
- Has abstract in OpenAlex
- yes