1 resultado para Fire insurance claims.
em Digital Commons @ DU | University of Denver Research
Filtro por publicador
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (5)
- Aquatic Commons (17)
- Archive of European Integration (8)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (6)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (11)
- Boston College Law School, Boston College (BC), United States (1)
- Brock University, Canada (24)
- Cambridge University Engineering Department Publications Database (20)
- CentAUR: Central Archive University of Reading - UK (58)
- Center for Jewish History Digital Collections (4)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (5)
- Cochin University of Science & Technology (CUSAT), India (3)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (15)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Cornell: DigitalCommons@ILR (1)
- Dalarna University College Electronic Archive (3)
- Digital Archives@Colby (3)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons @ Winthrop University (1)
- DigitalCommons@The Texas Medical Center (2)
- DigitalCommons@University of Nebraska - Lincoln (7)
- Duke University (3)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (13)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (2)
- Greenwich Academic Literature Archive - UK (57)
- Helda - Digital Repository of University of Helsinki (13)
- Indian Institute of Science - Bangalore - Índia (12)
- Instituto Politécnico do Porto, Portugal (12)
- Ministerio de Cultura, Spain (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (106)
- Queensland University of Technology - ePrints Archive (182)
- Repositório digital da Fundação Getúlio Vargas - FGV (14)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (37)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (4)
- South Carolina State Documents Depository (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad del Rosario, Colombia (16)
- Universidad Politécnica de Madrid (3)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (4)
- Université de Montréal, Canada (23)
- University of Connecticut - USA (1)
- University of Michigan (77)
- University of Queensland eSpace - Australia (1)
- University of Washington (2)
- USA Library of Congress (1)
- WestminsterResearch - UK (2)
Resumo:
ABSTRACT \ Employers know that to have a successful organization, they must have the right people in the right jobs. But how will they know whom to place where? The development of a model based upon an individual's personality traits and strengths, and how to best use them, is a good place to start. Employees working in positions in which their traits and strengths are maximized enjoy work more, are more efficient, and are less apt to be absent or to look for work elsewhere. It is a mutually beneficial process of selection for both employers and employees. This model illustrates the process in an automobile and property insurance claims operation through utilization of the Myers-Briggs Type Indicators and the StrengthsFinder Profiles.