Big Data Impacts on Human Resource Management. Using Multinational Enterprises as Example

Yi-Chuan Chen

ISBN 10: 3656842124 / ISBN 13: 9783656842125

Edité par GRIN Verlag, 2014

A propos de cet article

Big Data Impacts on Human Resource Management. Using Multinational Enterprises as Example | Yi-Chuan Chen | Taschenbuch | 84 S. | Englisch | 2014 | GRIN Verlag | EAN 9783656842125 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

N° de réf. du vendeur 104874349

Détails bibliographiques

• Titre: Big Data Impacts on Human Resource Management. Using Multinational Enterprises as Example
• Éditeur: GRIN Verlag
• Date de parution: 2014
• Langue: anglais
• ISBN à 10 chiffres: 3656842124
• ISBN à 13 chiffres: 9783656842125
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

Master's Thesis from the year 2014 in the subject Leadership and Human Resources - Miscellaneous, grade: C, The ESC Rennes School of Business, language: English, abstract: The study of this research investigated the effect of social media on the intention of job pursuit. The participants of this survey (N=317) were voluntarily recruited from the college students, graduates and job seekers in Taiwan, and the electronic questionnaires were distributed via the Internet in the present study. The elements of the mediation in this research design combined corporate reputation (CR) with two factors of employer knowledge, employer familiarity (EF) and employer reputation (ER), to estimate the indirect effect between social media and intention of job pursuit. The evidences confirmed that positive message in social media positively influence (a) corporate reputation, (b) employer familiarity and (c) employer reputation; in turn, which will relate to increase the intention of job pursuit; moreover; (d) the relation between social media and intention of job pursuit was affirmed in the research of this study, and both of the proposition in this study were validated by using the method of simple regression and path analysis.