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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help desk system developed at an information technology company. With the proliferation <strong>of</strong><br />
diverse s<strong>of</strong>tware <strong>and</strong> hardware, the center provides support to a large variety <strong>of</strong> client systems.<br />
The number <strong>of</strong> calls increases while the turnover rate <strong>of</strong> employees is high, which means the cost<br />
<strong>of</strong> training escalates. The objective <strong>of</strong> this project is to develop an automated case-based help<br />
desk system to support both call center personnel <strong>and</strong> customers. The system would contribute<br />
to shortening the response time on incoming calls <strong>and</strong> reduce training time for new employees.<br />
The focus <strong>of</strong> the paper is on the knowledge engineering process <strong>of</strong> the system. We discuss in<br />
detail the knowledge acquisition, knowledge representation, system implementation <strong>and</strong> verification<br />
processes, <strong>and</strong> we emphasize the structured <strong>and</strong> automated development methods adopted.<br />
Keywords: Knowledge engineering, Intelligent case-based system, Help desk operations, Computeraided<br />
environments, Customer support centers, Frontline support, External customers, Internal<br />
customers, Automated help desk system, Information technology company, Client systems, Employee<br />
turnover rate, Automated case-based help desk system, Call center personnel, Response<br />
time, Incoming calls, Training time, Knowledge engineering process, Knowledge acquisition,<br />
Knowledge representation, System implementation, Verification processes, Automated development<br />
methods<br />
23. Cramp, D.G. <strong>and</strong> E.R. Carson. A model-based framework for public health: a vehicle for<br />
maximising the value <strong>of</strong> telecare? Proceedings 2000 IEEE EMBS International Conference on<br />
Information Technology Applications in Biomedicine. ITAB-ITIS 2000. Joint Meeting Third<br />
IEEE EMBS International Conference on Information Technology Applications in Biomedicine<br />
(ITAB’00). Third Workshop <strong>of</strong> the International Telemedical Information Society (ITIS’00).<br />
IEEE, Piscataway, NJ, USA, 2000, 272–277.<br />
Abstract. Information <strong>and</strong> communication technologies (ICT) play a pivotal role in enabling<br />
health care provision, particularly in the light <strong>of</strong> changes in delivery mechanisms which emphasise<br />
the primary <strong>and</strong> community sectors <strong>and</strong> embrace substitution policies that include home<br />
care, day care <strong>and</strong> call centres. However, the complexity <strong>of</strong> these systems means that it is difficult<br />
to determine the best ICT strategies to adopt in terms <strong>of</strong> efficiency <strong>and</strong> effectiveness. If<br />
public health strategies are to be devised so as to maximise the benefits <strong>of</strong> advances such as those<br />
in telemedicine <strong>and</strong> telecare, it is necessary to address the issues adopting an approach which<br />
is holistic <strong>and</strong> which encapsulates all causal relationships <strong>and</strong> influences. Conceptual models<br />
for such a systemic approach are developed using signed digraph <strong>and</strong> cybernetic feedback formalisms.<br />
The importance <strong>of</strong> addressing not only the needs <strong>of</strong> the population which are <strong>of</strong> public<br />
health concern, but also the factors giving rise to such needs is emphasised. The implications <strong>of</strong><br />
this modelling approach are illustrated in the context <strong>of</strong> two telecare systems: home haemodialysis<br />
<strong>and</strong> Web-based services for the management <strong>of</strong> diabetes.<br />
Keywords: Model-based framework, Public health strategies, Telecare value maximization, Information<br />
technology, Communication technology, Health care provision, Health care delivery<br />
mechanisms, Primary care, Community health care, Substitution policies, Home care, Day care,<br />
Call centres, Efficiency, Effectiveness, Telemedicine, Holistic approach, Causal relationships,<br />
Influences, Conceptual models, Systemic approach, Signed digraph, Cybernetic feedback, Population<br />
needs, Home haemodialysis, Worldwide Web-based services, Diabetes management<br />
(Appears also in Section VIII.)<br />
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