Front-office multitasking  between service encounters and back-office tasks

Photo : Front-office multitasking  between service encounters and back-office tasks

Think you can juggle e-mails, WhatsApp messages and back-office work to get more done in less time? Our paper shows evidence of the limits of multitasking from an Operations Management perspective. Considering alternations between breaks, high and low priority tasks, we show how counterproductive multitasking can be due to mental switches.

For a more efficient and peaceful manner to treat incoming tasks, we develop a work policy, where breaks and interludes are efficiently used to provide a sufficient productivity on all job types without loosing concentration. An advice from this study: Do not waste your short breaks with your screen!  

We model the work of a front-line service worker as a queueing system. The server interacts with customers in a multi-stage process with random durations. Some stages require an interaction between server and customer, while other stages are performed by the customer as a self-service task or with the help of another resource.

Random arrivals by customers at the beginning and during an encounter create random lengths of idle time in the work of the server (breaks and interludes respectively). The server considers treatment of an infinite amount of back-office tasks, or tasks that do not require interaction with the customer, during these idle times.

We consider an optimal control problem for the server’s work. The main question we explore is whether to use the interludes in service encounters for treating back-office, when the latter incur switching times. Under certain operating environments, working on back-office during interludes is shown to be valuable.

Switching times play a critical role in the optimal control of the server’s work, at times leading the server to prefer remaining idle during breaks and interludes, instead of working on back-office, and at others to continue back-office in the presence of waiting customers.

The optimal policy for use of the interludes is one with multiple thresholds depending on both the customers queueing for service, and the ones who are in-service. We illustrate that in settings with multiple interludes in an encounter, if at all, the back-office work should be concentrated on fewer, longer and later interludes.

Author(s)
  • Photo :

    Benjamin Legros Benjamin Legros is a Professor of Finance. He joined EM Normandie Business School in 2017. He has a PhD in management science from the Ecole CentraleSupélec, awarded in 2013. His thesis is on optimising flows in multichannel call centres. His research interests are stochastic models with applications centred around contact centre technologies and finance.

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