The use of conjoint analysis to evaluate expert ratings in personnel selection

被引:0
|
作者
Niebergall, A
Schulz, U
机构
关键词
D O I
暂无
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Personnel decisions are often influenced by subjective perceptions of an applicants outward appearance as well as scarcely controllable external or interpersonal factors. Although diagnostic methods like assessment-centers (AC) contribute to a more valid assessment of personality characteristics, variations in the relevance of such characteristics to opaque organizational goals are often neglected. Decisions are also hardly ever transparent, because of the lack of a reliable reference system. Conjoint Measurement procedures permit a reliable and objective estimation of the weighted relevance of individual characteristics to organizational goals. Quantifying the utility concepts of decision-makers in a binding clearing system can provide an orientation framework for reaching personnel decisions and trying to achieve interpersonal consensus. This makes decisions more transparent, more comparable, easier to communicate and more justifiable in institutional and individual terms. Hence, Conjoint-Analysis (CA) can be used as a diagnostic aid to achieve fairer and more objective decisions and to reduce the expenses for personnel selection.
引用
收藏
页码:38 / 41
页数:4
相关论文
共 50 条
  • [1] Use of an expert system in a personnel selection process
    Hooper, RS
    Galvin, TP
    Kilmer, RA
    Liebowitz, J
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 1998, 14 (04) : 425 - 432
  • [2] Promethee use in personnel selection use in personnel selection use in personnel selection use in personnel selection use in personnel selection
    Afshari, Ali Reza
    Anisseh, Mohammad
    Shahraki, Mohammad Reza
    Hooshyar, Samaneh
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ICT MANAGEMENT FOR GLOBAL COMPETITIVENESS AND ECONOMIC GROWTH IN EMERGING ECONOMIES (ICTM 2016), 2016, : 127 - 138
  • [3] A conjoint analysis of inpatient satisfaction ratings in Indonesia
    Liew, Hui-Peng
    Brooks, Talbot
    [J]. HEALTH POLICY AND TECHNOLOGY, 2017, 6 (01) : 105 - 113
  • [4] AN EXPERT SYSTEM MODEL FOR THE SELECTION OF TECHNICAL PERSONNEL
    Cosgun, Emine
    [J]. PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, 2005, 11 (03): : 417 - 423
  • [5] The application of conjoint analysis to evaluate service quality
    Armitage, AMD
    [J]. TOTAL QUALITY MANAGEMENT, 1997, 8 (2-3): : S79 - S82
  • [6] USE OF PEER RATINGS TO EVALUATE PHYSICIAN PERFORMANCE
    RAMSEY, PG
    WENRICH, MD
    CARLINE, JD
    INUI, TS
    LARSON, EB
    LOGERFO, JP
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1993, 269 (13): : 1655 - 1660
  • [7] Meta-analysis of interrater reliability of job performance ratings in validity studies of personnel selection
    Salgado, JF
    Moscoso, S
    [J]. PERCEPTUAL AND MOTOR SKILLS, 1996, 83 (03) : 1195 - 1201
  • [8] Use of cultural consensus analysis to evaluate expert feedback of median safety
    Kim, Tae-Gyu
    Donnell, Eric T.
    Lee, Dongmin
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2008, 40 (04): : 1458 - 1467
  • [9] The Utility in Conjoint Analysis as a Fast Expert Elicitation Technique
    Jefferson, Brett A.
    Heller, Natalie C.
    Cottam, Joseph A.
    Nhuy Van
    Chin, George, Jr.
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS (ISI), 2021, : 168 - 173
  • [10] A latent class method for the selection of prototypes using expert ratings
    Miller, William E.
    [J]. STATISTICS IN MEDICINE, 2012, 31 (01) : 80 - 92