Integrating Technology Addiction and Use: an Empirical Investigation of Online Auction Users1
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.
Bibliographic record
Abstract
Technology addiction is a relatively new mental condition that has not yet been well integrated into mainstream MIS models. This study bridges this gap and incorporates technology addiction into technology use processes in the context of online auctions. It examines how user cognition and ultimately usage intentions toward an information technology are distorted by addiction to the technology. The findings from two empirical studies of 132 and 223 eBay users, using three different operationalizations of addiction, indicate that the level of online auction addiction distorts the way the IT artifact is perceived. Informing a range of cognition-modification processes, addiction to online auctions augments user perceptions of enjoyment, usefulness, and ease of use attributed to the technology, which in turn influence usage intentions. Overall, consistent with behavioral addiction models, the findings indicate that users’ levels of online auction addiction influence their reasoned IT usage decisions by altering users’ belief systems. The formation of maladaptive perceptions is driven by a combination of memory-, learning-, and bias-based cognition modification processes. Implications of the findings are discussed.
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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 | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| 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