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

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such work ‘virtual’, ‘poly-authored’ <strong>and</strong> ‘market supervised’. These new forms <strong>of</strong> work are now<br />

spreading beyond conventional call centres, partly because <strong>of</strong> the new expectations <strong>of</strong> customers,<br />

partly because <strong>of</strong> the migration <strong>of</strong> call centre employees into other areas <strong>of</strong> the enterprise.<br />

Keywords: Studies, Call centres, Customer relations, Organisational structure<br />

75. Ayios, Angela <strong>and</strong> Lisa Harris. Customer relationships in the e-economy: Mutual friends or just<br />

a veneering? Qualitative Market Research, 8 (4), 2005, 454–469.<br />

Abstract. This paper investigates whether technological developments can be used in call center<br />

environments to build trust <strong>and</strong> hence lasting customer relationships beyond the usual focus<br />

on efficiency gains through automation. It draws upon depth interviews with management <strong>and</strong><br />

staff in three very different types <strong>of</strong> call center to critically examine the ways in which caring<br />

attitudes <strong>and</strong> competent behavior <strong>of</strong> call center staff can contribute to building durable bases<br />

for customer trust. While one <strong>of</strong> the case studies exemplifies a purely economic rationale for<br />

call center operations, the other two demonstrate that a truly optimal application <strong>of</strong> technology<br />

creates a shared system <strong>of</strong> which customers <strong>and</strong> employees form an integrated part. Employees’<br />

knowledge <strong>of</strong> the system <strong>and</strong> the product it underpins are applied in a positive way to create<br />

relationships <strong>and</strong> trust with the customers with whom they transact.<br />

Keywords: Call centers, Customer relations, Loyalty, Competitive advantage, Models, Electronic<br />

commerce, Studies<br />

76. Baumgartner, Marc <strong>and</strong> Ivars Udris. Call center ist nicht gleich call center: Personalselektion<br />

und -entwicklung in einer dynamischen branche (auch in der Schweiz), Arbeit, 14 (1), 2005, 3–17.<br />

Abstract. Investigations in 14 Swiss call centers identified four types, which differ according to<br />

work <strong>and</strong> communication direction: 1. consulting <strong>and</strong> complaint-management, 2. information<br />

management, 3. ordering management, <strong>and</strong> 4. customer- <strong>and</strong> campaign management. This also<br />

has effects on the personnel structure, personnel selection <strong>and</strong> personnel development in the call<br />

center. Further research is made on the different work skills that are dem<strong>and</strong>ed in those call<br />

center types <strong>and</strong> how the personnel selection <strong>and</strong> personnel development strategies, like initial<br />

training, further training <strong>and</strong> coaching, differ among those types. Perspectives for the future <strong>of</strong><br />

call center work are also discussed.<br />

Keywords: Call centers, Studies, Statistical analysis, Organizational behavior, Personnel selection,<br />

Skills<br />

77. Bolton, Sharon C. <strong>and</strong> Maeve Houlihan. The (mis)representation <strong>of</strong> customer service, Work,<br />

Employment & Society, 19 (4), 2005, 685–703.<br />

Abstract. The growth <strong>of</strong> service work has introduced the customer as a third party to the employment<br />

relationship. Yet dominant images <strong>of</strong> customer relations portray docile service workers<br />

<strong>of</strong>fering de-personalized care to sometimes aggressive but otherwise not much more agential customers.<br />

This paper seeks to bring humanity back into an analysis <strong>of</strong> customer service, <strong>and</strong> to<br />

reinterpret customer service interaction as a human relationship. Using labour process analysis<br />

<strong>and</strong> data from call-centre workers <strong>and</strong> their customers, we rerepresent customers as many-faceted,<br />

115

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