
AbstractMultiple stakeholders have a vested interest in motor-carrier safety because it affects the welfare of the general public and companies' supply chain operations. This article develops new theory about motor carrier safety by utilizing processes from attention-based theory and new institutional theory to answer questions regarding carrier safety since the rollout of the Compliance, Safety, and Accountability (CSA) program. This research examines the propensity that carriers flagged for poor performance on hours-of-service (HOS) compliance when the program was fully implemented in late 2010 exited this status at least once during the subsequent 3.5 years. Conversely, it examines whether carriers not flagged for poor HOS performance at the start of the program come to receive a safety warning at least once during the subsequent 3.5 years. It further examines how carrier size affects these respective hazard rates. Hypothesized effects are tested using panel data from N = 484 large, for-hire carriers by fitting a series of discrete time hazard models. The results are consistent with the theory put forward. The article concludes by describing theoretical contributions, explaining managerial and public policy implications, noting limitations, and making recommendations for further inquiry.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
