How technological emergence, saturation, and rejuvenation are re-shaping the e-commerce landscape and disrupting consumption? A time series analysis
Why this work is in the frame
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Bibliographic record
Abstract
Technological advancements in the ICT sector have enabled the development of online platforms that have drastically transformed the e-commerce landscape. The rise of the sharing economy is a key in point. Academics claim that this change is causing a noticeable shift in consumers’ habits from traditional towards collaborative and sharing activities due to environmental, social, and economic motives. In this article, we test the empirical validity of this hypothesis; namely, we test whether or not the recent change in e-commerce landscape is causing a permanent transition in US consumption over the last two decades by fitting a nonlinear smooth transition regression model to the cycle of US consumption with a constructed exogenous regime-driving variable that captures the various aspects of digital technology. The econometric analysis confirms the existence of a non-permanent regime switch in consumption. In particular, we show that the emergence, saturation, and rejuvenation of digital technology are causing consumption to switch between two stationary regimes. Consumption oscillates smoothly, but frequently, between both regimes in the early period (2000-2006) due to the emergence of new technologies and in the recent period (2017-2019) due to technological rejuvenation. It persists, however, in the mid period (2007-2016) due technological saturation.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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