Download the book of abstracts - EurOMA 2011
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The manufacturing-service interface<br />
122<br />
SERV19 Quality <strong>of</strong> service and operating efficiency in service industries: an analysis <strong>of</strong><br />
Korean service driving industry<br />
Srinivas Talluri, Myung Kyo Kim, Tobias Schoenherr<br />
Michigan State University, East Lansing, Michigan, USA<br />
This paper examines <strong>the</strong> compatibility <strong>of</strong> operating efficiency and service quality.<br />
Specifically, our research focuses on: (1) Do operating efficiency and service quality have to<br />
be traded-<strong>of</strong>f, or can <strong>the</strong>y exist in unison (are <strong>the</strong>y compatible)? and (2) What aspects <strong>of</strong><br />
service quality have a stronger association with operating efficiency? In disentangling <strong>the</strong>se<br />
important issues, we utilize a combination <strong>of</strong> Data Envelopment Analysis (DEA) and survey<br />
based empirical research methods. Specifically, we consider <strong>the</strong> South Korean service driving<br />
industry, which has experienced a rapid growth in recent years.<br />
SERV20 A holistic approach for building productivity metrics in services: two reports <strong>of</strong><br />
using <strong>the</strong> adapted “house-<strong>of</strong>-quality metrics matrix”<br />
Noel Torres Júnior, Cláudio Gelape, Mirian Braga, Fernanda Mello, Wesley Souza Junio,<br />
Mateus Azevedo<br />
UFMG, Belo Horizonte/MG, Brazil<br />
Given <strong>the</strong> complexity <strong>of</strong> measuring <strong>the</strong> productivity <strong>of</strong> services and considering <strong>the</strong> literature on performance<br />
measurement in services and <strong>the</strong> “House-<strong>of</strong>-Quality Metrics Matrix” proposed by Hauser and Katz (1998) this paper<br />
presents a holistic approach to measuring productivity in services. This approach takes into account <strong>the</strong> main processes<br />
<strong>of</strong> <strong>the</strong> organization and <strong>the</strong> different needs <strong>of</strong> <strong>the</strong>ir stakeholders involved. It was implemented by two organizations <strong>of</strong><br />
health services. These organizations are evaluated in this study. On view <strong>of</strong> <strong>the</strong>ir managers, <strong>the</strong> main difficulties and<br />
advantages <strong>of</strong> <strong>the</strong> proposed approach are reported.<br />
SERV21 Understanding System Uncertainty in Healthcare Supplies<br />
Tillmann Böhme(3), Sharon Williams(2), Paul Childerhouse(1), Eric Deakins(1), Denis<br />
Towill(2)<br />
(1)University <strong>of</strong> Waikato, Hamilton, New Zealand, (2)Cardiff University, Cardiff, UK, (3)University <strong>of</strong> Wollongong,<br />
Wollongong, Australia<br />
Managing healthcare supply chains is claimed to be complex due to <strong>the</strong> imperative <strong>of</strong> assuring accurate medical supply<br />
for patient wellbeing. The fieldwork described herein involves investigation <strong>of</strong> a variety <strong>of</strong> supply value streams in eight<br />
Australasian hospitals using a rigorous, multi-method audit methodology. In <strong>the</strong> majority <strong>of</strong> cases poor management<br />
practice is evidenced by high levels <strong>of</strong> system uncertainty (<strong>of</strong>ten self-induced). Particularly noted is that <strong>the</strong> root cause<br />
<strong>of</strong> many supply chain performance issues is failure by senior management to recognise <strong>the</strong> strategic value <strong>of</strong> supplies<br />
management. Healthcare supply chain performance enablers and best management practices are also described.