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CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...

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tation. S-R models hypothesize that decision makers choose an action option based on their<br />

anticipation <strong>of</strong> its success. Decision makers learn by accumulating evidence over action options<br />

<strong>and</strong> combining that evidence with prior expectations. This study examines a st<strong>and</strong>ard S-R<br />

model <strong>and</strong> a simple variation <strong>of</strong> this model, in which past experience may receive an extremely<br />

low weight, as explanations for decision makers’ adaptation in an evolving Internet-based bargaining<br />

environment. In Experiment 1, decision makers are taught to predict behavior in a<br />

bargaining task that follows rules that may be the opposite <strong>of</strong> congruent to, or unrelated to a<br />

second task in which they must choose the deal terms they will <strong>of</strong>fer. Both models provide a<br />

good account <strong>of</strong> the prediction task. However, only the second model, in which decision makers<br />

heavily discount all but the most recent past experience, provides a good account <strong>of</strong> subsequent<br />

behavior in the second task. To test whether Experiment 1 artificially related choice behavior<br />

<strong>and</strong> prediction, a second experiment examines both models’ predictions concerning the effects <strong>of</strong><br />

bargaining experience on subsequent prediction. In this study, decision models where long-term<br />

experience plays a dominating role do not appear to provide adequate explanations <strong>of</strong> decision<br />

makers’ adaptation to their opponent’s changing response behavior.<br />

23. Holman, David, Clair Chissick <strong>and</strong> Peter Totterdell. The effects <strong>of</strong> performance monitoring on<br />

emotional labor <strong>and</strong> well-being in call centers, Motivation <strong>and</strong> Emotion, 26 (1), 2002, 57–81.<br />

Abstract. Investigated the relationship between performance monitoring <strong>and</strong> well-being. The<br />

study also examined a mechanism (emotional labor) that might mediate the relationship between<br />

them, assessed the effect <strong>of</strong> the work context on the relationship between performance monitoring<br />

<strong>and</strong> well-being, <strong>and</strong> examined the relative effects <strong>of</strong> performance monitoring <strong>and</strong> work context<br />

on well-being. Three aspects <strong>of</strong> performance monitoring were covered, namely, its performancerelated<br />

context, its beneficial-purpose, <strong>and</strong> its perceived intensity. Subjects were 347 customer<br />

service agents (70.6% female <strong>and</strong> 29.4% male, aged 19–57 yrs). Regression analyses revealed<br />

that the performance-related content <strong>and</strong> the beneficial-purpose <strong>of</strong> monitoring were positively<br />

related to well-being, while perceived intensity had a strong negative association with well-being.<br />

Emotional labor did not mediate the relationship between monitoring <strong>and</strong> well-being. Work<br />

context did not mediate the relationship between monitoring <strong>and</strong> well-being, but job control <strong>and</strong><br />

supervisory support did moderate the relationship between perceived intensity <strong>and</strong> well-being.<br />

Perceived intensity showed stronger associations with emotional exhaustion, while job control<br />

<strong>and</strong> supervisory support showed stronger associations with depression <strong>and</strong> job satisfaction<br />

.<br />

24. Torre, I. Users modeling for adaptive call centers, Proceedings <strong>of</strong> the Second International Conference,<br />

AH, Adaptive Hypermedia <strong>and</strong> Adaptive Web-Based Systems, Lecture Notes in Computer<br />

Science, Vol. 2347, Springer-Verlag, Germany, 2002, 603–607.<br />

Abstract. The project described in this paper applies the principles <strong>of</strong> adaptivity to a “traditional”<br />

call center in order to support the operator in the interaction with the customer. The<br />

system uses the models <strong>of</strong> both the customer <strong>and</strong> the operator <strong>and</strong> builds up the stepwise answer<br />

through an adaptive workflow.<br />

25. Whalen, Jack, Marilyn Whale <strong>and</strong> Kathryn Henderson. Improvisational choreography in teleservice<br />

work, The British Journal <strong>of</strong> Sociology, 53 (2), 2002, 239–258.<br />

83

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