2010
DOI: 10.1111/j.1467-985x.2010.00670.x
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Investigating Scheduling of Work: A Two-Stage Optimal Matching Analysis of Workdays and Workweeks

Abstract: We study the scheduling of work by using optimal matching analysis. We show that optimal matching can be adapted to the number of periodicities and theoretical concerns of the topic by adjusting its costs and parameters. Optimal matching is applied at two stages to define workdays and workweeks at the first and second stage respectively. There were five types of workdays and seven types of workweeks in the UK between 2000 and 2001. Standard workdays represented just over a half of workdays and standard workwee… Show more

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Cited by 36 publications
(39 citation statements)
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“…Sequence discrepancy analysis methods have been especially used for exploring individual life trajectories (Studer et al, 2010;Widmer and Ritscard, 2009). Recent applications of sequence analysis methods on activity schedules and diary data have revealed the advantages of these approaches for capturing the complex structures of activity patterns and providing more accurate schedule classifications (Lesnard and Kan, 2011;Kim, 2014).…”
Section: Population Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Sequence discrepancy analysis methods have been especially used for exploring individual life trajectories (Studer et al, 2010;Widmer and Ritscard, 2009). Recent applications of sequence analysis methods on activity schedules and diary data have revealed the advantages of these approaches for capturing the complex structures of activity patterns and providing more accurate schedule classifications (Lesnard and Kan, 2011;Kim, 2014).…”
Section: Population Datamentioning
confidence: 99%
“…Figure 3 illustrates the matching of a pair of sequences in two different ways regarding the type of operation: (i) using only substitutions by replacing the different elements of one sequence with those in the second one and (ii) using a combination of insertion and deletion operations. The optimal matching (OM) distance metric allowing both substitutions and insertion/deletion of activities (Lesnard et al, 2011) is used in this study. Moreover, a method proposed by Studer et al (2011) called the "discrepancy analysis" allows measuring the relationships between categorical variables (e.g., gender, age, education level, professional status) and a set of sequences described by the matrix of dissimilarities (measured with the OM method).…”
Section: Population Datamentioning
confidence: 99%
“…A large portion of my research using OMA focuses on time-use surveys (Lesnard , 2009Lesnard and Kan 2011). These surveys feature a time diary in which respondents must describe activities over one or several days.…”
Section: Optimal Matching Methods and Social Theory Of Timementioning
confidence: 99%
“…Because couples have to synchronize their work schedules to spend time together, the more complicated such schedules are, the greater the challenge is for togetherness. Moreover, it is not only the absolute number of hours that matters for family time, but also the extent of overlap and synchronization between partners' work schedules (Lesnard, 2008;Lesnard & Kan, 2011). In the context of the ever-increasing complexity of work scheduling (Jacobs & Gerson, 2004), shared family time has become an unequally distributed family asset.…”
Section: Work Constraints and Time Spent With Family Membersmentioning
confidence: 99%