Customer and performance rating in QFD using SVM classification

2017 ◽  
Author(s):  
Syarizul Amri Dzulkifli ◽  
Mohd Najib Mohd Salleh ◽  
A. M. Leman
Keyword(s):  
Performance Rating ◽  
Svm Classification ◽  
And Performance

Performance Appraisal Politics in the Public Sector: The Effects of Political Skill and Social Similarity on Performance Rating

2019 ◽  
Vol 49 (2) ◽  
pp. 239-261
Author(s):  
Hyang Won Kwon
Keyword(s):  
Hierarchical Linear Modeling ◽  
Central Government ◽  
Political Skill ◽  
Interactive Effects ◽  
Performance Rating ◽  
Future Research ◽  
Interpersonal Influence ◽  
And Performance ◽  
Skill Dimensions ◽  
The Relationship

This study investigated the main effects of a subordinate’s (ratee) political skill dimensions (social astuteness, apparent sincerity, interpersonal influence, and networking ability) on supervisor (rater) performance rating and further analyzed the interactive effects of social similarity in the subordinate–supervisor dyad on the relationship between political skill dimension and performance rating. To test these relationships, hierarchical linear modeling (HLM) was used on a matched sample of 337 subordinate–supervisor dyads who worked in South Korea’s central government. Findings showed that subordinates with higher social astuteness, interpersonal influence, and networking abilities (but not apparent sincerity) will likely achieve more positive supervisor ratings. More importantly, the relationship between these political skill dimensions and performance ratings is stronger when there is greater social similarity between a subordinate (ratee) and his or her supervisor (rater). The findings’ practical and academic implications and future research directions are discussed.

Automated laboratory load-based testing and performance rating of residential cooling equipment

2021 ◽  
Vol 123 ◽  
pp. 124-137
Author(s):  
Li Cheng ◽  
Parveen Dhillon ◽  
W. Travis Horton ◽  
James E. Braun
Keyword(s):  
Performance Rating ◽  
And Performance

scholarly journals Leervermogen als metacompetentie: ontwikkelbaarheid en loopbaanuitkomsten

2008 ◽  
Vol 21 (4) ◽  
Author(s):  
Nicky Dries ◽  
Tim Vantilborgh ◽  
Roland Pepermans ◽  
Linda Venneman
Keyword(s):  
Work Experience ◽  
Research Question ◽  
Performance Rating ◽  
Career Outcomes ◽  
Learning Agility ◽  
Full Support ◽  
Research Questions ◽  
And Performance ◽  
Effect Of Age ◽  
The Ideal

Learning agility as metacompetency: Developability and career outcomes Learning agility as metacompetency: Developability and career outcomes N. Dries, T. Vantilborgh, R. Pepermans & L. Venneman, Gedrag & Organisatie, volume 21, November 2008, nr. 4, pp. 365-385 The current study let supervisors rate subordinates in terms of learning agility and focused on two research questions: (1) is learning agility developable; and (2) in what way does learning agility manifest itself in the workplace and in the careers of individuals? As regards the first research question, we found no effect of age and work experience on learning agility; we did, however, find effects of career variety and educational level. As for the second research question, we saw our hypotheses largely confirmed. Learning agility was found to be a significant predictor of on-the-job learning and performance rating. As for promotions received however, we did not find full support for the hypothesized relationships with learning agility. Interestingly, the data demonstrated that the career variety of the rated subordinates was rather low, implying that their motivation to actively look for learning experiences outside of certain geographical, organizational and functional boundaries was low, regardless of their learning agility – it thus appears that the ideal type of the flexible, 'boundaryless' career is not yet a common reality.

scholarly journals Klasifikasi Berita Bahasa Indonesia Menggunakan Mutual Information dan Support Vector Machine

2019 ◽  
Vol 3 (4) ◽  
pp. 284
Author(s):  
Lalu Gias Irham ◽  
Adiwijaya Adiwijaya ◽  
Untari Novia Wisesty
Keyword(s):  
Support Vector Machine ◽  
Mutual Information ◽  
Support Vector ◽  
Test Results ◽  
Svm Classification ◽  
Education Politics ◽  
And Performance ◽  
Source Of Information ◽  
Test Scenarios ◽  
Bahasa Indonesia

News is a source of information disseminated in various types of media. In order to make it easier for news readers to obtain the desired news, the news needs to be classified. The large number of scattered news creates difficulties in classifying the news based on the topic. Therefore the author conducted a study to classify news into 12 classes (culture, economy, entertainment, law, health, life, automotive, education, politics, sports, technology, and tourism) automatically against 360 Indonesian news data. In this study several test scenarios were conducted to see the effect of stopword removal and stemming methods on data preprocessing, the effect of mutual information in selecting features, and performance of Support Vector Machine in classifying news data. The test results showed that the data using only stemming without stopword removal, using the MI selection feature and SVM classification method produced the best results of 94.24%, compared to the other methods.

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