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