The impact of waiting on customer‐instigated service time: Field evidence from a live‐chat contact center

Abstract

It is well known that the waiting time a customer experiences in a service system is determined by the service processing time of preceding customers, among other factors. We argue that a directionally opposite effect, which diffuses from waiting time to her own service time, also exists in co-productive service contexts where a significant fraction of the service time is contributed by the customer.Multiple underlying customer behavioral mechanisms lead us to hypothesize that waiting's impact is dependent on the service stage and magnifies as the service process approaches completion. Our empirical analysis uses a unique operational data set that combines server log information with instant-messaging transcripts collected from a live-chat contact center. We show that pre-service waiting accelerates customer engagement-one dimension of customer instigated service time-only at the beginning of the conversation and then exhibits a slowdown effect as the conversation proceeds. In contrast, in-service waiting consistently slows down customer responses-another dimension of customer instigated service time, the magnitude of which is higher in later episodes of the agentcustomer message exchanges. We discuss the practical implications of our findings on operational policies employed in contact centers.

Holding North: Recognizing identity and advancing contribution in operations management

“…They are responding to process signals, but also co‐impacting the ability to deliver results (to others) in the system (c.f. Maister, 1985, Allon & Kremer, 2019, Ilk & Shang, 2022). Here we are less interested in whether consumers are attracted to short lines, and more interested in the feedback mechanisms that form a connecting thread across performance, response/action and subsequent operational dynamics.…”

Unexpected Waiting Corrupts

“…Academic research on how waiting experiences shape subsequent behaviors comes from marketing (Kumar et al, 1997), management (Kaufmann et al, 2019), healthcare management (e.g., Tlapa et al, 2020;Rotstein and Alter, 2006), and operations research (e.g., Ilk and Shang, 2022;Nie, 2000). This research distinguishes between two instrumental aspects of a waiting episode: the absolute and relative durations of the waiting (McGuire et al, 2010;Kumar et al, 1997).…”