| _version_ |
1860797924811735040
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2024-08-28 20:09:25
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| format |
Restricted Document
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| id |
14708
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| institution |
UniSZA
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| originalfilename |
3155-01-FH02-FIK-14-00627.pdf
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| person |
Little Lion Sci
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=14708
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| spelling |
14708 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=14708 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf Adobe Acrobat Pro DC 20 Paper Capture Plug-in with ClearScan 9 1.6 Little Lion Sci 2024-08-28 20:09:25 3155-01-FH02-FIK-14-00627.pdf UniSZA Private Access Automatic Text Interview Assessment Using Instant Messaging Decision Support System International Journal Of Theoretical And Applied Information Technology In existing studies of human resource selection, individual performance of a single candidate is usually considered, whereas the collaborative performance among the interviewee using the on-line instant messaging is not taken into consideration. Time is also very consuming to choose and short list thousands of applicants. Usually short listed interviewees are generated by looking at academics performance without really evaluate the applicants’ skills and knowledge. An integrated approach and its prototype for employee selection using an instant messaging as a collaborative tool during the interview process is developed using IM-DSS framework. It includes automatic technical answer scoring and automated ways of extracting ethical values from the interview answer log. Submission count and response time are among supporting features introduced to reduce problem in live interview sessions. 38 2 183-190
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| spellingShingle |
Automatic Text Interview Assessment Using Instant Messaging Decision Support System
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| summary |
In existing studies of human resource selection, individual performance of a single candidate is usually considered, whereas the collaborative performance among the interviewee using the on-line instant messaging is not taken into consideration. Time is also very consuming to choose and short list thousands of applicants. Usually short listed interviewees are generated by looking at academics performance without really evaluate the applicants’ skills and knowledge. An integrated approach and its prototype for employee selection using an instant messaging as a collaborative tool during the interview process is developed using IM-DSS framework. It includes automatic technical answer scoring and automated ways of extracting ethical values from the interview answer log. Submission count and response time are among supporting features introduced to reduce problem in live interview sessions.
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| title |
Automatic Text Interview Assessment Using Instant Messaging Decision Support System
|
| title_full |
Automatic Text Interview Assessment Using Instant Messaging Decision Support System
|
| title_fullStr |
Automatic Text Interview Assessment Using Instant Messaging Decision Support System
|
| title_full_unstemmed |
Automatic Text Interview Assessment Using Instant Messaging Decision Support System
|
| title_short |
Automatic Text Interview Assessment Using Instant Messaging Decision Support System
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| title_sort |
automatic text interview assessment using instant messaging decision support system
|