Does Live Help Service Matter? An Empirical Test of the DeLone and McLean's Extended Model in the E-Service Context
Bibliographic record
Abstract
With the increasing prevalence of online shopping, many companies have begun to provide "live help" functions on their Web sites to facilitate interactions between online consumers and customer service representatives. However, little is understood as to the effect of live help service contributing to online consumers' perceptions. We investigate the effect of live help service on system quality, information quality, and service quality. Based on the Herzberg's hygiene-motivator theory, we empirically test the DeLone and McLean extended IS success model within the e-service context. Results suggest that 1) live help service has a positive effect on consumers' perceived system, information, and service quality, 2) service quality has a positive effect on both satisfaction and intention, 3) information quality has a positive effect on satisfaction, but not intention, and 4) system quality does not have a significant effect on either satisfaction or intention. Implications for researchers and practitioners are discussed.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".