Google for Jobs (e-bog) af Knabenreich, Henner
Knabenreich, Henner (forfatter)

Google for Jobs e-bog

42,15 DKK (inkl. moms 52,69 DKK)
Almost all search queries are now made via Google and the search for a new job via Google is also increasing steadily. Thanks to Google for Jobs, Google's claim to offer users the best search experience is now also evident in the job search. Henner Knabenreich presents the most important findings about Google for Jobs and provides important tips and hints for successful use. He shows that compa...
E-bog 42,15 DKK
Forfattere Knabenreich, Henner (forfatter)
Forlag Springer
Udgivet 27 august 2021
Genrer Media studies: internet, digital media and society
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783658331139
Almost all search queries are now made via Google and the search for a new job via Google is also increasing steadily. Thanks to Google for Jobs, Google's claim to offer users the best search experience is now also evident in the job search. Henner Knabenreich presents the most important findings about Google for Jobs and provides important tips and hints for successful use. He shows that companies benefit from an unprecedented opportunity to provide reach - regardless of size, industry and job description. To bring applicants and companies together in the best and fastest possible way is Google's claim. Find out how you as an employer can benefit from this job search here.The author:Henner Knabenreich has been working on the career pages and application processes of employers since 2003. As an "e;employer branding optimizer"e;, he advises companies on the implementation of career websites, has been promoting the role of SEO in the context of recruiting for years and observes Google's activities in the job market. He is author of the book "e;Career Websites with Wow! effect"e; and blogs on an influential HR blog. This Springer essential is a translation of the original German 1st edition essential, Google for Jobs by Henner Knabenreich published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.