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AI-Powered Recruitment and the Attitudes of German University Graduates
AI-Powered Recruitment and the Attitudes of German University Graduates
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92,09 €
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Bachelor Thesis from the year 2020 in the subject Leadership and Human Resource Management - Recruiting, grade: 1,2, European School of Business Reutlingen, language: English, abstract: The purpose of this thesis is to investigate German graduate students' attitudes towards AI-powered recruitment. Toward this end, data were collected through a questionnaire that was e-mailed to German university (graduate) students. Businesses are becoming increasingly reliant on technology as globalization pro…
  • Publisher:
  • Year: 2020
  • Pages: 54
  • ISBN-10: 3346234738
  • ISBN-13: 9783346234735
  • Format: 14.8 x 21 x 0.3 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

AI-Powered Recruitment and the Attitudes of German University Graduates (e-book) (used book) | bookbook.eu

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Bachelor Thesis from the year 2020 in the subject Leadership and Human Resource Management - Recruiting, grade: 1,2, European School of Business Reutlingen, language: English, abstract: The purpose of this thesis is to investigate German graduate students' attitudes towards AI-powered recruitment. Toward this end, data were collected through a questionnaire that was e-mailed to German university (graduate) students. Businesses are becoming increasingly reliant on technology as globalization progresses. New skills and knowledge are vital for organizations to be competitive, making Human Resource Management (HRM) more important now than ever. The application of advanced technology like Artificial Intelligence (AI) has gained significant attention in the recruitment process in recent years. AI offers promising solutions for recruiters to increase cost and efficiency by taking over repetitive tasks, such as screening CVs and conducting job interviews. However, little is known so far about how these solutions affect potential applicants' attitudes, particularly the attitudes of graduate students from German universities, and whether they are willing to accept and make use of the new opportunities offered by AI. The online questionnaire gathered data from a total of 456 different respondents. However, 50 respondents dropped out before completion and a further 36 respondents were not in line with the inclusion criteria. These respondents needed to be excluded from the sample, which resulted in a final sample size of n=370 individuals.

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  • Author: Tobias Opifanti
  • Publisher:
  • Year: 2020
  • Pages: 54
  • ISBN-10: 3346234738
  • ISBN-13: 9783346234735
  • Format: 14.8 x 21 x 0.3 cm, softcover
  • Language: English English

Bachelor Thesis from the year 2020 in the subject Leadership and Human Resource Management - Recruiting, grade: 1,2, European School of Business Reutlingen, language: English, abstract: The purpose of this thesis is to investigate German graduate students' attitudes towards AI-powered recruitment. Toward this end, data were collected through a questionnaire that was e-mailed to German university (graduate) students. Businesses are becoming increasingly reliant on technology as globalization progresses. New skills and knowledge are vital for organizations to be competitive, making Human Resource Management (HRM) more important now than ever. The application of advanced technology like Artificial Intelligence (AI) has gained significant attention in the recruitment process in recent years. AI offers promising solutions for recruiters to increase cost and efficiency by taking over repetitive tasks, such as screening CVs and conducting job interviews. However, little is known so far about how these solutions affect potential applicants' attitudes, particularly the attitudes of graduate students from German universities, and whether they are willing to accept and make use of the new opportunities offered by AI. The online questionnaire gathered data from a total of 456 different respondents. However, 50 respondents dropped out before completion and a further 36 respondents were not in line with the inclusion criteria. These respondents needed to be excluded from the sample, which resulted in a final sample size of n=370 individuals.

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