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Stevenson, Jennifer; Caverly, Susan; Srebnik, Debra; Hendryx, Michael

doi:10.1023/a:1022226111289

Cited by 8 publications

(2 citation statements)

References 16 publications

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“…Our observation experience shows that, in line with similar research in healthcare, self-observation is an applicable method, where some errors in measurement can be accepted. In line with successful experiments of staff using pagers (Stevenson et al 1999), initial experiments with self-observation by ICT show merit in the transport contexts where the number of stops are limited. We have found truck drivers in general to be very collaborative and interested in supporting projects, both for research and practice, which is also in line with previous research.…”

Section: Discussionmentioning

confidence: 82%

“…The initial purpose of the driver‐diary study (involving 13 motor carriers) was to investigate the effects of the new driver‐time regulations (European Commission 2012) as reported in detail in Klaus, Fischer, and Prockl (2008). In the Stardriver project, an app was developed with the same name (see appendix A) to be used in an experiment to test whether smartphones can improve self‐observations, as indicated in previous research on self‐reporting in healthcare‐time studies (Stevenson et al 1999).…”

Section: Measuring Driver Timementioning

confidence: 99%

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Counting the Minutes—Measuring Truck Driver Time Efficiency

Prockl¹,

Sternberg

2015

Transportation Journal

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How truck drivers spend their time is crucial to the profitability of motor carriers. However, the aspect of time has been marginally addressed in industry practice and academic literature on motor-carrier strategies and operations. Given the importance of the drivers in transport operations, the purpose of this article is to outline how driver time in motor-carrier operations can be measured using various methods. The underlying empirical data related to transport efficiency have been collected over five years throughout numerous projects in Europe. The article summarizes the experiences from the measurements carried out in these projects. In total, 80 drivers from 22 motor carriers were measured using different types of participant observations and driver self-observation. Practitioners addressing drivers' time use will find important principles to guide their work in measuring drivers' activities. For future research into driver activities, we suggest using the nine activity categories proposed in our note.

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Section: Discussionmentioning

confidence: 82%

Section: Measuring Driver Timementioning

confidence: 99%

Counting the Minutes—Measuring Truck Driver Time Efficiency

Prockl¹,

Sternberg

2015

Transportation Journal

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An empirical analysis of engineers' information behaviors

Robinson

2010

J. Am. Soc. Inf. Sci.

107

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The importance of the acquisition and provision of information within knowledge work such as engineering is widely acknowledged. This article reports an extensive empirical study of such information behaviors in engineers, using a novel and effective work sampling method. Seventy-eight design engineers each carried a portable handheld computer (PDA) for 20 working days. Once every hour, they were prompted to enter data concerning the task they were currently performing, including the information behaviors in which they were engaging. The resultant data represent a comprehensive picture of engineers' information behaviors and the percentage of their working time for which each of these behaviors accounts (55.75% in total). Specific hypotheses concerning the time spent engaged in these behaviors were also tested. Accordingly, it was found that participants spent substantially more time receiving information they had not requested than information they had, and this pattern was also reflected when they provided others with information. Furthermore, although there was no difference found between the time participants spent searching for information from other people compared with nonhuman sources, in the former case they spent relatively less time locating the information source and information within that source, and relatively more time engaged in problem solving and decision making. The results are discussed in terms of their implications for theory and organizational practice.

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