The Negative Evaluation Function of Construction Ni Zhen Shi Ge + NP in Chinese: A Multi-Interactional Perspective

2021 ◽  
Vol 09 (03) ◽  
pp. 631-638
Author(s):  
佳 张
Keyword(s):  
Negative Evaluation ◽  
Evaluation Function ◽  
Interactional Perspective

Nepotism in the Hiring of Leaders

2014 ◽  
Vol 73 (4) ◽  
pp. 243-248 ◽  
Author(s):  
Annick Darioly ◽  
Ronald E. Riggio
Keyword(s):  
Experimental Design ◽  
Perceived Competence ◽  
Negative Evaluation ◽  
Leadership Position ◽  
Family Ties ◽  
Hiring Decision ◽  
Job Application ◽  
Career Progress

This study examines how applicants who are relatives of the company’s executives are perceived when they are being considered for a leadership position. In a 2 (Family ties: with vs. without) × 2 (Applicant qualifications: well-qualified vs. underqualified) experimental design, 165 Swiss employees read the applicant’s job application and evaluated the hiring decision, the perceived competence, and the perceived career progress of the target employee. This research showed that even a well-qualified potential employee received a more negative evaluation if the candidate had family ties to the company. Despite their negative evaluation of potential nepotistic hires, the participants nevertheless believed that family ties would boost the career progress of an underqualified applicant. Limitations and implications are discussed.

Negative Evaluation by Others Not an Impact on Lesbian Parenting

2004 ◽  
Author(s):  
H. M. W. Bos ◽  
◽  
F. van Balen ◽  
D. van den Boom
Keyword(s):  
Negative Evaluation ◽  
Lesbian Parenting

Why is prospect theory's evaluation function S-shaped?

2009 ◽  
Author(s):  
Jessica M. Choplin ◽  
Amber N. Bloomfield
Keyword(s):  
Evaluation Function

Evaluation functions for integral mapping

2017 ◽  
Vol 921 (3) ◽  
pp. 24-29 ◽  
Author(s):  
S.I. Lesnykh ◽  
A.K. Cherkashin
Keyword(s):  
Principal Component Analysis ◽  
Environmental Factors ◽  
Principal Components ◽  
Principal Component ◽  
Evaluation Function ◽  
Final Value ◽  
Evaluation Functions ◽  
Geographical Environment ◽  
Environmental Background ◽  
Integral Mapping

The proposed procedure of integral mapping is based on calculation of evaluation functions on the integral indicators (II) taking into account the feature of the local geographical environment, when geosystems in the same states in the different environs have various estimates. Calculation of II is realized with application of a Principal Component Analysis for processing of the forest database, allowing to consider in II the weight of each indicator (attribute). The final value of II is equal to a difference of the first (condition of geosystem) and the second (condition of environmental background) principal components. The evaluation functions are calculated on this value for various problems of integral mapping. The environmental factors of variability is excluded from final value of II, therefore there is an opportunity to find the invariant evaluation function and to determine coefficients of this function. Concepts and functions of the theory of reliability for making the evaluation maps of the hazard of functioning and stability of geosystems are used.

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