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A Literature Review: Artificial Intelligence Impact on the Recruitment Process
108-119Views:20598This paper aim is to review the implementation of artificial intelligence (AI) in the Human Resources Management (HRM) recruitment processes. A systematic review was adopted in which academic papers, magazine articles as well as high rated websites with related fields were checked. The findings of this study should contribute to the general understanding of the impact of AI on the HRM recruitment process. It was impossible to track and cover all topics related to the subject. However, the research methodology used seems to be reasonable and acceptable as it covers a good number of articles which are related to the core subject area. The results and findings were almost clear that using AI is advantages in the area of recruitment as technology can serve best in this area. Moreover, time, efforts, and boring daily tasks are transformed to be computerized which makes a good space for humans to focus on more important subjects related to boosting performance and development. Acquiring automation and cognitive insights as well as cognitive engagement in the recruitment process would make it possible for systems to work similarly to the human brain in terms of data analysis and the ability to build an effective systematic engagement to process the data in an unbiased, efficient and fast way.
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Personality Traits and Their Validity in Predicting Job Performance at Recruitment: a Review
222-231Views:2111One of the most critical challenges human resources management usually faces is the procedure of recruitment and selection. At the recruitment, the factor of qualification is very important. However, HR management should take into account the personality of the candidate. For example, most of the companies' profits rely on the performance of the frontline employee and their behavior toward the customer. Therefore, HR management usually uses the assessment of personality and integrity. Based on the literature, there is a correlation between personality traits and job performance. This study is a literature review analysis which contains previous studies in regard to the of Big Five Factors at the recruitment and their validity in predicting employee’s performance in the firm.
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What Drives The Diffusion of AI Recruitment Systems in Swiss HRM? The Importance of Technological Expertise, Innovative Climate, Competitive Pressure, Employees’ Expectations and Contextual Factors
42-84Views:472This study examines organizational, environmental, and contextual factors influencing the diffusion of artificial intelligence recruitment systems in human resources management within Swiss organizations. Based on a survey provided to 324 private and public Swiss HR professionals, it explores how some technology-organization-environment theoretical framework predictors' as well as innovative climate provided by organizations influence the three stages – evaluation, adoption, and routinization – of diffusion of this innovation. To do this, the following article is based on a PLS-SEM structural equation model. Its main findings are that technological expertise, innovative climate, competitive pressure, and expectations regarding future use of the tool by organizations working in the same field are directly linked to the spread of this type of AI tool. However, public-sector organizations are more reluctant about using this type of tool. This aversion can, however, be moderated by an innovative climate and the fact that the HR function plays an active part in an organization's strategic direction. This said, this article makes a significant contribution to the literature about the diffusion of emerging technologies in organizations.
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Gamification in the field of human resource, a creative solution for recruitment
373-382Views:800With the introduction of latest tools and the expansion of technological solutions, the usage of smartphones ,with instant internet connection of course, has become an essential part of the net generation, also known as generation Z. At the same time, the role of IoT devices has also become part of our daily lives, completing and sometimes making it easier. This is due to the fact that the tools become more and more cheaper as time passes and parents and young people no longer consider these a technical innovations, but as a necessity. These generations; Y, Z and Alpha appear simultaneously on today's job market, which poses a serious challenge to future HR leaders and recruiters. Because of the generational gap between them, both motivational and demanding, novel solutions are becoming increasingly appreciated in this area as well. The purpose of this study is to demonstrate the potential of gamification and to highlight the its major areas, as well as to draw the attention to "good practices" in creative recruiting through better known examples. In addition, I also tried to point out the effect on the relationship between motivation and flow-experience. The gamification method is becoming more and more popular in our country, as it plays an increasingly important role in business and education as well. In recent years, with the use of serious games, there have been several examples of HR recruitment and selection, which clearly strives to reach out to younger generations.
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Survey of population knowledge on the technical characteristics and physiological effects of light pollution in two settlements
155-161Views:245One of the newest environmental challenges in our industrialized world is light pollution. It means that we emit more light than necessary, and this is often done at wavelengths that are both disturbing and even harmful to human health. The Dark Sky Parks, where over a large area there are no artificial light sources that burden the environment. One of these parks is located in BAZ County, near Répáshuta, and is under continuous development. Our study reports on a questionnaire survey conducted in Répáshuta, which is informed about light pollution, and in Cserépváralja settlements close to it, but without direct knowledge of the problem. The population of both villages is around 400. With a direct on-site survey, we asked 21-21 questions to 30-30 person and received answers in all cases, of course, taking full account of the anonymity of the respondents. Recruitment took place in March and April 2019.
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Comparing higher education preferences with labour market needs
382-392Views:469Hungarian institutions of higher education play an important role in national economy: they ensure intellectual labour with appropriate knowledge and professional competencies for Hungary in all profession fields. If the rules of private sector are applied for these institutions – interpreting it within a certain framework as the quality of education and research has to be maintained and there are social benefits associated with them -, they owned by the state, their management is the institutional leadership and their consumer is the labour market. Thus, training programmes must or should be developed in accordance with the needs of labour market. It represents a major challenge, even without taking into consideration other factors, since future requirements should be aimed (at least a 3-5 year training period later) – along with a rapid technological development. Even if the state makes significant efforts to adapt training programmes to meet the requirements of the labour market demands, students who want to further their education pay limited attention to these factors in their educational decision-making. Partly for this reason, career transition or shortages may occur in the case of certain professions. This paper seeks to address to what extent the most popular training programmes meet the expectations and to what extent the degree earned may be regarded as a ‘success’ in the labour market; moreover, if they do not overlap each other, how much applicants prefer those training programmes which are to be considered the most successful based on recruitment information. Admission statistics of Education Department and database of DPR provide the necessary information for the period 2010-2017 and these data sources enable authors to follow-up students from application to higher education until employment.
