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Proceedings of the 8th International Conference on Intellectual ...

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Mohd Zali Mohd Nor et al.<br />

Ano<str<strong>on</strong>g>the</str<strong>on</strong>g>r MAS prototype is similar to KM-Mantis, but uses different agents to capture knowledge from<br />

different source documents and activities. Rodriguez et al. (2004) developed a MAS architecture with<br />

5 main agents to m<strong>on</strong>itor KMS activities in SM processes. However, <str<strong>on</strong>g>the</str<strong>on</strong>g> above prototypes do not<br />

cover <str<strong>on</strong>g>the</str<strong>on</strong>g> full spectrum <str<strong>on</strong>g>of</str<strong>on</strong>g> SM processes, especially <str<strong>on</strong>g>the</str<strong>on</strong>g> Helpdesk, Maintenance Request (MR)<br />

planning and Business Domain knowledge repository, to store and share SM knowledge and Domain<br />

knowledge. These are covered by SmCAT.<br />

3. Methodology<br />

To evaluate SmCAT effectiveness as a KMS tool, <str<strong>on</strong>g>the</str<strong>on</strong>g> evaluati<strong>on</strong> method shall need to answer<br />

whe<str<strong>on</strong>g>the</str<strong>on</strong>g>r <str<strong>on</strong>g>the</str<strong>on</strong>g> tools really help users and maintainers to share and access <str<strong>on</strong>g>the</str<strong>on</strong>g> knowledge and<br />

informati<strong>on</strong> easier. For this, SmCAT shall be benchmarked against a Rodriguez KMS prototype which<br />

was also developed for SM envir<strong>on</strong>ment. Users and maintainers were informed to use SmCAT for a<br />

m<strong>on</strong>th, followed by Rodriguez KMS. Results <strong>on</strong> both tools could not be compared quantitatively, due<br />

to different processes used and different Agents activities in SmCAT and Rodriguez KMS. In overall,<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g>re are more Agents’ activities in SmCAT compared to Rodriguez KMS, due to more activities in<br />

helpdesk, MR and development areas. A qualitative method is required to gain a better perspective in<br />

comparing KMS activities for SmCAT and Rodriguez KMS. Based <strong>on</strong> Wu and Wang’s KMS success<br />

model (Wu and Wang, 2006), five main areas were addressed, as follows:<br />

System Quality – defines how good <str<strong>on</strong>g>the</str<strong>on</strong>g> KMS is in terms <str<strong>on</strong>g>of</str<strong>on</strong>g> its operati<strong>on</strong>al characteristics, such as<br />

ease <str<strong>on</strong>g>of</str<strong>on</strong>g> use, user friendly, resp<strong>on</strong>se time and stable.<br />

Knowledge or Informati<strong>on</strong> Quality – how good <str<strong>on</strong>g>the</str<strong>on</strong>g> KMS is in terms <str<strong>on</strong>g>of</str<strong>on</strong>g> its c<strong>on</strong>tent quality and<br />

C<strong>on</strong>text quality. C<strong>on</strong>tent quality includes ease <str<strong>on</strong>g>of</str<strong>on</strong>g> creating document, c<strong>on</strong>sistent, logical words and<br />

phrases, important and helpful, meaningful and practical, clear and unambiguous. Meanwhile,<br />

c<strong>on</strong>text quality includes applicable to work, complete knowledge portal and good expert directory.<br />

User Satisfacti<strong>on</strong> – overall feelings <str<strong>on</strong>g>of</str<strong>on</strong>g> pleasure or displeasure regarding KMS. This includes<br />

overall satisfacti<strong>on</strong>, meeting knowledge needs, KMS efficiency and KMS effectiveness.<br />

Perceived KMS Benefits - valuati<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> benefits <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> KMS by users. For example, helpful in<br />

acquiring new knowledge, effectively manage and store knowledge, efficient, enhance job<br />

performance and improve life quality.<br />

System Use – The extent <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> KMS being used. This includes helpful in making decisi<strong>on</strong>,<br />

recording knowledge/informati<strong>on</strong>, communicating informati<strong>on</strong>, sharing general knowledge and<br />

sharing specific knowledge.<br />

Wu and Wang’s model provides <str<strong>on</strong>g>the</str<strong>on</strong>g> validated questi<strong>on</strong>naire c<strong>on</strong>structs and measures. This makes it<br />

easier for future studies to use this model. Questi<strong>on</strong>naire survey was distributed to <str<strong>on</strong>g>the</str<strong>on</strong>g> 15 users and<br />

maintainers to gauge <str<strong>on</strong>g>the</str<strong>on</strong>g>ir opini<strong>on</strong> <strong>on</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g> above areas. Users and maintainers who have used both<br />

SmCAT and Rodriguez KMS were asked to fill <str<strong>on</strong>g>the</str<strong>on</strong>g> questi<strong>on</strong>naire. Since <str<strong>on</strong>g>the</str<strong>on</strong>g> questi<strong>on</strong>naire items are<br />

based <strong>on</strong> Likert scale, Rasch analysis shall be used to estimate <str<strong>on</strong>g>the</str<strong>on</strong>g> probability <str<strong>on</strong>g>of</str<strong>on</strong>g> agreeableness <strong>on</strong><br />

each item. Rasch is a probabilistic model that uses ‘logit’ as <str<strong>on</strong>g>the</str<strong>on</strong>g> measurement units, by transforming<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g> ordinal data and raw scores into a linear scale (B<strong>on</strong>d and Fox, 2007). The data were first<br />

inspected for reliability and fitness, to ensure that <str<strong>on</strong>g>the</str<strong>on</strong>g> data could be used for fur<str<strong>on</strong>g>the</str<strong>on</strong>g>r analysis.<br />

To test if SmCAT is significantly better than Rodriguez KMS, pair-wised t-test shall be used, as<br />

follows:<br />

t =<br />

β − β<br />

S R<br />

2 2<br />

S σ R<br />

σ +<br />

n<br />

Where βS = average measure for SmCAT, βR = average measure for Rodriguez KMS, σS = Standard<br />

deviati<strong>on</strong> for SmCAT and σR = Standard deviati<strong>on</strong> for Rodriguez KMS.<br />

The t-test results are compared against <str<strong>on</strong>g>the</str<strong>on</strong>g> Student’s t-test distributi<strong>on</strong> table. T-test value exceeding<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g> critical value shall c<strong>on</strong>clude that SmCAT is better than Rodriguez KMS. In additi<strong>on</strong>, detail analysis<br />

<strong>on</strong> each KMS success comp<strong>on</strong>ents could also be a valuable. As such <str<strong>on</strong>g>the</str<strong>on</strong>g> data shall be plotted <strong>on</strong>to a<br />

Comm<strong>on</strong> Pers<strong>on</strong> Equating (CPE) chart (B<strong>on</strong>d and Fox, 2007). CPE plots <str<strong>on</strong>g>the</str<strong>on</strong>g> SmCAT KMS items<br />

measures against Rodriguez KMS Items measures to determine <str<strong>on</strong>g>the</str<strong>on</strong>g> items (KMS success<br />

377

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