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Proceedings of the 12th European Conference on Knowledge ...

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Mohammad Mirkazemi Mood, Farhad Daneshga and M<strong>on</strong>a Mirkazemi Mood<br />

intelligent institute, nurturing a creative and innovative circumstance and culture and cooperati<strong>on</strong><br />

opportunities. Wu (2008), too, outlined <str<strong>on</strong>g>the</str<strong>on</strong>g>se goals as: Performance improvements, efficiency,<br />

competitiveness, and developing such processes as knowledge acquisiti<strong>on</strong>, sharing and use.<br />

However, Ch<strong>on</strong>g et al. (2006), having investigated <str<strong>on</strong>g>the</str<strong>on</strong>g> literature <str<strong>on</strong>g>of</str<strong>on</strong>g> KM, recognized five groups <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

criteria that can be c<strong>on</strong>sidered as <str<strong>on</strong>g>the</str<strong>on</strong>g> expected c<strong>on</strong>sequences <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> organizati<strong>on</strong>s as <str<strong>on</strong>g>the</str<strong>on</strong>g>y implement<br />

KM. Ch<strong>on</strong>g et al. named <str<strong>on</strong>g>the</str<strong>on</strong>g>se criteria "KM Performance Criteria." Table 1 explains each <strong>on</strong>e <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

five groups.<br />

Table 1: KM Performance Criteria (adapted from Ch<strong>on</strong>g et al. 2006)<br />

Criteria<br />

Systematic knowledge activities<br />

Employee development<br />

Customer satisfacti<strong>on</strong><br />

Good external relati<strong>on</strong>ship<br />

Organizati<strong>on</strong>al success<br />

3. The Proposed approach<br />

Definiti<strong>on</strong><br />

Includes <str<strong>on</strong>g>the</str<strong>on</strong>g> processes <str<strong>on</strong>g>of</str<strong>on</strong>g> creating, ga<str<strong>on</strong>g>the</str<strong>on</strong>g>ring, organizing,<br />

distributing, utilizing, transferring and storing <str<strong>on</strong>g>the</str<strong>on</strong>g> necessary<br />

knowledge <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> organizati<strong>on</strong>.<br />

Creating a circumstance in which people, with different<br />

expertise and from different fields, can share <str<strong>on</strong>g>the</str<strong>on</strong>g>ir<br />

knowledge and, as a result, create new knowledge for <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

organizati<strong>on</strong>.<br />

Improving <str<strong>on</strong>g>the</str<strong>on</strong>g> satisfacti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> customers through<br />

interacting with <str<strong>on</strong>g>the</str<strong>on</strong>g>m; recognizing <str<strong>on</strong>g>the</str<strong>on</strong>g>ir needs and<br />

expectati<strong>on</strong>s and so valuing <str<strong>on</strong>g>the</str<strong>on</strong>g>m more than before.<br />

Maintaining an appropriate relati<strong>on</strong>ship with partners,<br />

shareholders, and suppliers via sharing and transferring<br />

knowledge, getting feedback, and <str<strong>on</strong>g>the</str<strong>on</strong>g>refore improving <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

possibilities <str<strong>on</strong>g>of</str<strong>on</strong>g> innovati<strong>on</strong> and creativity as well as new<br />

knowledge creati<strong>on</strong>.<br />

The success <str<strong>on</strong>g>of</str<strong>on</strong>g> a knowledge oriented organizati<strong>on</strong>,<br />

regarding <str<strong>on</strong>g>the</str<strong>on</strong>g>ir financial criteria and <str<strong>on</strong>g>the</str<strong>on</strong>g> intangible<br />

resources and assets such as Intellectual resources.<br />

The unique aspect <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> c<strong>on</strong>cept <str<strong>on</strong>g>of</str<strong>on</strong>g> "House <str<strong>on</strong>g>of</str<strong>on</strong>g> Quality" in QFD method is its c<strong>on</strong>necting <str<strong>on</strong>g>the</str<strong>on</strong>g> two sets<br />

<str<strong>on</strong>g>of</str<strong>on</strong>g> variables known as HOWs and WHATs. The House <str<strong>on</strong>g>of</str<strong>on</strong>g> Quality, in <str<strong>on</strong>g>the</str<strong>on</strong>g> proposed approach, is<br />

combined with fuzzy set <str<strong>on</strong>g>the</str<strong>on</strong>g>ory. The reas<strong>on</strong> for this is that in <str<strong>on</strong>g>the</str<strong>on</strong>g> traditi<strong>on</strong>al QFD, most <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> input<br />

variables were c<strong>on</strong>sidered as precise and were treated as numerical data (Kahraman et al. 2006)<br />

whereas, in our proposed approach, needs and judgments are c<strong>on</strong>verted into linguistic data which is<br />

inherently ambiguous. The point, however, is that since, instead <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>on</strong>e, three groups <str<strong>on</strong>g>of</str<strong>on</strong>g> variables are<br />

evaluated, two c<strong>on</strong>nected Houses <str<strong>on</strong>g>of</str<strong>on</strong>g> Quality are to be used. Using <str<strong>on</strong>g>the</str<strong>on</strong>g>se two units for <str<strong>on</strong>g>the</str<strong>on</strong>g> process <str<strong>on</strong>g>of</str<strong>on</strong>g><br />

decisi<strong>on</strong> making and choosing <strong>on</strong>e <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> items was first used by Bottani (2009). FuzzyQFD method<br />

has been used for such numerous purposes as Product Development, Agility, Strategic Management<br />

and supplier selecti<strong>on</strong> (Bevilacqua et al. 2006, Bottani and Rizzi 2006). It, however, has never been<br />

used for KM.<br />

Also, Triangular Fuzzy Numbers, TFN, are used to c<strong>on</strong>vert <str<strong>on</strong>g>the</str<strong>on</strong>g> linguistic judgments into numerical<br />

data. TFNs are in fact <str<strong>on</strong>g>the</str<strong>on</strong>g> most comm<strong>on</strong> type <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> Fuzzy Numbers. They are shown with three<br />

points (Amin and Razmi 2011):<br />

A = (a1, a2, a3)<br />

And its membership functi<strong>on</strong> is:<br />

660

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