scholarly journals literature Review: Artificial Intelligence Impact on the Recruitment ProcessA LITERATURE REVIEW: ARTIFICIAL INTELLIGENCE IMPACT ON THE RECRUITMENT PROCESS

2021 ◽  
Vol 6 (1) ◽  
pp. 108-119
Author(s):  
JihaD FraiJ ◽  
Várallyai László

This 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.

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Paweł Milka

The article analyses the impact of speculation on the cryptocurrency market. In the introduction, the author interprets the meaning of the speculation and a speculator’s way of thinking. The literature review was broken down into two aspects. The first is to analyse the literature on the subject in terms of the cryptocurrency market. The second is an analysis of the sentiment index, which becomes the primary research method. The analysis of the sentiment value shows a high correlation between the impact of sentiment on the value of cryptocurrencies. Further recommendations are to analyse the sentiment with regard to listed companies (Polish and international) and stock indices (including the forex market).  


2021 ◽  
Vol 26 (1) ◽  
pp. 53-65
Author(s):  
Marijana Rodić ◽  
Slobodan Marić

The scope of this study is based on the Situational Leadership Theory according to the model created by Hersey and Blanchard, predominantly defined by two research sub-fields: leadership style and readiness of employees. This model distinguishes four different leadership styles, while the subject area of readiness of employees comprises two components: readiness of employees based on the competency component and readiness of employees based on a psychological (motivational) component. The subject matter of the study is to identify leadership style as a new variable which will be utilized for determining the interdependence with leadership efficiency levels and readiness of employees. Leadership efficiency is determined by the degree of compatibility between the dominant style of leadership and the level of readiness of employees. In addition to the main objective of the research, aimed at determining leadership efficiency, significant research findings come as a result of specific objectives. That is impact of the dominant leadership style on readiness of employees and leadership results, based on each specific component. The sample will be a random sample from a finite population of units, with repeated sampling and known probability sampling. A sample of size n=100, with a proportion of 0.10, is based on a list of top 100 biggest companies in the Republic of Serbia in 2019. The application of Principal Component Analysis aims to identify new variables in the form of regression coefficient results, while the application of the hierarchical regression model will help determine the impact of each leadership style on readiness of employees. The study findings confirm the basic hypotheses of the aforementioned model, with regard to the results of leadership efficiency, as well as its impact of each leadership style on readiness of employees.


2004 ◽  
Vol 12 (3) ◽  
Author(s):  
Phil Davies

This paper reports on a case study that evaluates the validity of assessing students via a computerized peer-marking process, rather than on their production of an essay in a particular subject area. The study assesses the higher-order skills shown by a student in marking and providing consistent feedback on an essay. In order to evaluate the suitability of this method of assessment in judging a student’s ability, their results in performing this peer-marking process are correlated against their results in a number of computerized multiple-choice exercises and also the production of an essay in a cognate area of the subject being undertaken. The results overall show a correlation of the expected results in all three areas of assessment being undertaken, rated by the final grades of the students undertaking the assessment. The results produced by quantifying the quality of the marking and commenting of the students is found to map well to the overall expectations of the results produced for the cohort of students. It is also shown that the higher performing students achieve a greater improvement in their overall marks by performing the marking process than those students of a lower quality. This appears to support previous claims that awarding a ‘mark for marking’ rewards the demonstration of higher order skills of assessment. Finally, note is made of the impact that such an assessment method can have upon eradicating the possibility of plagiarism.DOI: 10.1080/0968776042000259573


Author(s):  
Jaromíra Vaňová ◽  
Peter Szabó ◽  
Miroslava Mĺkva

The presented paper presents the results of the project VEGA No. 1/0721/20 "Identification of priorities for sustainable human resources management for disadvantaged employees in the context of Industry 4.0". It focuses on the importance of personal development and self-realization for employees in industrial enterprises in the Slovak Republic about generation groups. The aim was to identify the preferences of employees in the subject area and their fulfillment by employers. The following research methods were used to process the paper: a comparative analysis of literary sources, questionnaire survey, statistical evaluation of results using IBM SPSS 22.0 (Statistical Package for the Social Sciences), and interpretation of research results in industrial enterprises in Slovakia.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamakshi Sharma ◽  
Mahima Jain ◽  
Sanjay Dhir

PurposeThis study explores the variables that drive the impact of artificial intelligence (AI) on the competitiveness of a tourism firm. The relationship between the variables is established using the modified total interpretive structural modelling (m-TISM) methodology. The factors are identified through literature review and expert opinion. This study investigates the hierarchical relationship between these variables.Design/methodology/approachThe modified total interpretive structural modelling (m-TISM) method is used to develop a hierarchical interrelationship among variables that display direct and indirect impact. The competitiveness of a tourism firm is measured by investigating the effect of variables on the firm's financial performance.FindingsThe study identifies ten key factors essential for analysing the impact of AI on a firm's competitiveness. The m-TISM methodology gave us the hierarchical relationship between the factors and their interpretation. A theoretical TISM model has been constructed based on the hierarchy and relationship of the elements. The elements that fall in Level V are “AI Skilled Workforce”, “Infrastructure” and “Policies and Regulations”. Level IV includes the elements “AI Readiness”, “AI-Enabled Technologies” and “Digital Platforms”. Elements that fall under Level III are “Productivity” and “AI Innovation”. Level II and Level I comprise “Tourist Satisfaction” and “Financial Performance”, respectively. The levels indicate the elements' hierarchical level, with Level I the highest and Level V the lowest.Research limitations/implicationsTourism and AI scholars can analyse the given variables by including the transitive links and incorporate new variables depending upon future research. The m-TISM model constructed from literature review and expert opinion can act as a theoretical base for future studies to be conducted by researchers.Practical implicationsManagement/Practitioners can focus on the available characteristics and capitalise on them while working on the factors lacking in their organisation to enhance their competitiveness. Entrepreneurs starting their own business can utilise the elements in understanding the ecosystem of strengthening a firm's competitiveness. They can work to improve on the aspects which are crucial and trigger the impact on competitiveness. The government and management can devise policies and strategies that encompass the essential factors that positively impact the competitiveness of the firms. The approach can then be looked at with a holistic approach to cater to the other related components of the tourism industry.Originality/valueThis study is the first of its kind to use the modified TISM methodology to understand the impact of AI on the competitiveness of tourism firms.


1993 ◽  
Vol 13 (1) ◽  
pp. 81-92 ◽  
Author(s):  
Cecil C. Bozarth

Despite the importance given to manufacturing focus in the literature, the subject area continues to suffer from three interrelated problems: lack of agreement with regard to the meaning of “focus” the absence of a conceptual framework for integrating the existing body of research; and uncertainty with regard to the appropriate direction of future research. These problems should be addressed if the focus literature is to continue to mature, and if the true role of focus is to be understood in the light of the “newer” strategic imperatives, such as time‐based competition and flexible manufacturing. Introduces a conceptual model of focus specifically designed in response to these problems. The conceptual model identifies three distinct dimensions of focus, and relates these to the competitive factors facing manufacturing organizations. It is designed specifically to serve as a tool with which researchers and managers can discuss the impact of focus at the firm level. A review of key works in manufacturing focus is also included to justify the structure of the model, and to show how the model integrates previous conceptual and empirical research on focus.


2012 ◽  
Vol 2 (8) ◽  
pp. 1-19
Author(s):  
Anita Gihwala

Title AngloGold Ashanti: the dawning of a new age. Subject area Change management, leadership, human resources management and organisational behaviour. Study level/applicability Business and organisational behaviour students at a Master's level of study. Case overview This case study explores the challenges facing one of the jewels of corporate South Africa, AngloGold Ashanti, as it seeks to introduce and implement vast changes across its global operations within a pre-established time frame. It explores those factors that impact the introduction and implementation of a successful and sustainable change initiative at AngloGold Ashanti. Expected learning outcomes By understanding the manner in which the company's new business improvement initiative is sought to be introduced at the organisation, students are better able to understand the role of leadership and the impact of change on a global workforce. Students will gain an appreciation of how to manage the change process, key actions that ought to be taken by all levels of management and staff, pitfalls that should be avoided and challenges that need to be addressed to ensure that the organisation can emerge stronger and take its rightful place in the competitive global arena. Supplementary materials Teaching notes are available; please consult your librarian for access.


2020 ◽  
Vol 10 ◽  
pp. 1-7
Author(s):  
Ruhet GENÇ

The main intention of this manuscript is to fill this gap by evaluating the impacts of artificial intelligence on the development of smart tourism. The study will start with discussing previous literature on smart tourism and contributions of artificial intelligence on the development of tourism based on earlier academic findings and practical implications. For methodology, the paper will follow literature review as a guideline and the findings will be critically evaluated. Besides that, the study will suggest a model whereby the impact of artificial intelligence on smart tourism will be quantitatively analyzed. In the suggested model, related economic, technological, social and environmental variables including total revenue created by smart tourism using artificial intelligence, contributions of technological improvement, the degree of social inclusion to tourism activities for disadvantaged individuals (such as elderly, people with disabilities, pregnant women etc.) with respect to the artificial intelligence applications, and the degree of environmental degradation parallel to the shift to smart tourism.


2018 ◽  
Vol 183 ◽  
pp. 04007
Author(s):  
Rafal Prusak

Human is the key resource of the organization, and proper human resources management, manifested primarily by matching knowledge, skills and attitudes of employees to the strategic goals of the company should lead to their transformation into human capital and the synergy effect of combining the qualities and strengths of employees intensifying the frequency of the innovative concepts. The main purpose of the article is to present the results of research conducted on a sample of 70 enterprises regarding the analysis of the extent of enterprises’ use of the potential accumulated within human capital to improve the implemented processes, including quality management. The research covered issues related to the impact of the functioning of the human resources management system on the company efficiency, the main factors supporting and hindering the functioning of this system, as well as problems and difficulties occurring both at the stage of implementing the system and its subsequent operation. The basic research tool was a questionnaire consisting of 23 questions of a closed nature supported by interviews conducted with representatives of the management. The article also includes a literature review on selected aspects of shaping and managing human capital and increasing the professional potential of employees as a result of systemic management of their competences.


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