Artificial Intelligence in Human Resource Practices With Challenges and Future Directions

2022 ◽  
pp. 222-230
Author(s):  
Himani Saini ◽  
Preeti Tarkar

Artificial intelligence is a branch of science and technology that has been used effectively over the decades in various fields, and now it has become an indispensable part of organizational practices as it is one of the leading technologies in the current era, and now there is an emerging trend of applying AI technologies within the businesses. The central necessity of human resource management is also majorly based on technological approaches as it became a potential need for any human resources department to perform its role in the development of the whole organization. Technologies based on AI are and will be the smart system of the future and it's also changing the processes of human resource management by making it more dependent on advanced technologies. Through the chapter, the researcher will get to know the artificial technologies being practiced in HR practices and explore the probable and potential of technicality of AI in HRM and also the challenges associated with AI in HRM and its future possibilities.

2002 ◽  
pp. 171-181
Author(s):  
Márta Zalainé Piros

The human factor has been reassessed with regard to strategic initiatives towards obtaining and preserving competitive advantage. Knowledge, experience and special skills are a specific form of capital, forming part of the organisations’ assets and serving as an organisational strategic resource. Their development and use require major investments, both on the part of the individual and the organisation. In a Europe undergoing integration, the quality of human resources enjoy priority among our really important values and specific features. The opportunities of the near future can be utilised, and agricultural economic organizations can survive and increase their organizational effectiveness, if they possess a basis of human capital which is able to make a shift in perspective and behaviour which is of primary importance from the point of view of incorporating market mechanisms and implementing them in practice. My investigations were focused on the current position of human resource management in a comprehensive manner; further, on the approach of top managers regarding the future. Analysing the business and other indicators of the companies studied, I have set the objective to describe the differences and special features of the human resource management practice of companies, which are different in size, operational form, and from the perspective of success or failure.Human resource management is directed to attracting, retaining, motivating and utilising labour. A given work process can be successful or unsuccessful – given the same conditions – depending on who performs it. Therefore, human resource management related tasks require special attention when enterprises are planned, established and operated. On analysing the responsibilities of human resource management, I have found that the functions and responsibilities of human resource have low or medium importance in the operation of economic organisations today. Regarding the future, top managers have expressed higher expectations of human resource management responsibilities in all areas and they consider individual functions to be more important. The establishment and operation of a human resource information system has been presented as the most important need for change. Correlation analyses have proved that the higher the sales revenues of a company, the higher the development of human resources is regarded by its manager, and the same holds for training, career support and a proper establishment and continuous evaluation of job profiles.


2020 ◽  
pp. 14-21
Author(s):  
A. V. Blinnikova ◽  
D. K. Ying

During the digital transformation, artificial intelligence technologies are actively developed and implemented in the organization’s management processes. This trend also applies to human resource management. The purpose of this article is to substantiate the benefits of using artificial intelligence tools in human resource management for organizations. Current state of human resource management has been analysed in the article, its main problems have been defined. The opportunities offered by artificial intelligence technologies offer in the field of human resources as well as the problems companies face in their implementation have been considered. Practical examples of the use of artificial intelligence tools such as chatbots, mood analysis technologies, voice assistants, facial recognition system in the field of human resource management have been given.


Economics ◽  
2021 ◽  
Vol 104 (3-5) ◽  
pp. 184-191
Author(s):  
Manana Samadashvili Manana Samadashvili ◽  
Ekaterine Gobejishvili Ekaterine Gobejishvili

In order to gain a competitive advantage in the business process, human resource management is a strategic approach to the organization or its staff. The importance of human resource management has undergone significant changes from administrative operations to more comprehensive functions. Human resource functions exist and will exist in any type of organizations and companies as long as there is work in them. The transformation of new technologies for any professional field creates new needs and specialized functions for the use of human resources. The methods used as a result of the introduction of new technologies in today's competitive environment allow to simplify work processes. It is interesting to use such new resources as: machine learning, big data and more. Digital technology requires changing work styles and procedures. Competitive professionals need to contribute to improving people’s work experience. Human resource management helps to achieve goals and objectives successfully. Only such a system maintains a motivated co-worker. The development of artificial intelligence is far from perfect, there are many problems and only with the help of humans it is possible to overcome them. Thus it is necessary to hire modern staff and train them in terms of mastering and using digital technology. Technology is transforming our lives. Key words: Human Resource Management, Digital HR, Artificial Intelligence, Benefits of Digital HR.


In a highly competitive world of today characterised by VUCA (Volatility Uncertainty Complexity and Ambiguity) environment organizations are striving to achieve excellence with standard business practices. Given the international mantra of cost quality & service companies need to adopt technology in a proactive manner by collaborating with IT department. Traditionally HR and IT have operated as distinct units. But with the changing times there is an urgent need to adopt technology for improving the productivity of human resources thereby contributing to the sustainable organizational development. So a close collaboration between these two departments is called for. Some of the HR professionals assume that technology will fix all their problems i.e. By moving to cloud the outdated HR operating model and disconnected data sourcing issues will get resolved. But HR professionals will be committing a grave mistake if they think that the technology will be a panacea to all HR problems. In other words, the key is about how the technology is applied and not the acquisition of technology. In the prevailing competitive environment there is every need to understand appreciate the behaviour of the employees so that required initiatives could be taken for obtaining outstanding performance from these valuable human resources. In this regard technological tools like HR Analytics(HRA) Artificial Intelligence (AI) come very handy for getting valuable insights into human behaviour. Further application of these tools helps in effective decision making thereby contributing to the accomplishment of organization goals. Application of HRA and AI apart from facilitating decision making also helps in integrating Human Resource with other business activities. The paper focusses on understanding how HR analytics helps in sustainable human resource management by providing insights into elementary HR processes and behaviours. It also correlates well with current HRA/AI trends in general and health care sector in particular. Needless to say this will be a ready reference for any future study into role of data analytics/Artificial intelligence in Human Resource Management.


2019 ◽  
Vol 11 (1) ◽  
pp. 81
Author(s):  
FAHMIAH AKILAH

Planning is the main thing in human resource management activities. Without outlining, their functions are not able adequately fulfilled. Therefore, it plays an essential role because preparation is the process of determining the direction and purpose of activity to be performed. Rational resource devising in the field of education needs to be involved in examining the needs of workers who will occupy the position of human resources required by educational institutions. The demand for human resources in the future can be planned as immeasurable as possible to obtain quality human resources asexpected.


2013 ◽  
Vol 12 (11) ◽  
pp. 1405
Author(s):  
Melody Brauns

In a rapidly changing business environment, one may recognise the words the only thing constant in life is change by French author Francois de la Rockefoucauld. Yet, with on-going change, it can be difficult to know what to do and how to do it. The world out there is harsh and competition is fierce. Indeed, the world is changing at a rapid pace. Therefore, both public and private sectors have to plan for the future and prepare for any unforeseen circumstance. This paper will discuss the link between Strategic Human Resource Management, Human resources, Performance and Reward, what we know, and the future direction of Strategic Human Resource Management. Strategic Human Resource Management involves making those decisions that define the overall vision, mission, core values and objectives of the organisation, thus determining the most effective utilisation of its resources. Walker (1992: 16) states that Strategic Management enables managers to respond to environmental changes based on a defined business mission, vision and values. Strategies are directional plans that guide management actions in the pursuit of opportunities. In essence, strategies point the way for the most promising changes. They are plans that give direction and address people related business issues. Human Resource strategies are important because they help determine how to manage people in relation to business strategies. Strategic Human Resource Management aligns Human Resources, which is necessary for the success of the organisation.


Artificial intelligence is a discrete branch of science and technology which has been exercised constructively over the past 60 years in various fields. While artificial intelligence is making its mark in almost all areas, human resources practices arenot an exception. Human resource management is one crucial area in each organization and it is essential to realize that people who are part of human resource management have to be familiar with the notion of Artificial intelligence. Some HR experts suppose that upgraded and advanced AI is a threat to human community and in the upcoming decades AI would significantly reduce the demand for human resource globally. In contrast, some researchers believe that AI is one of the sophisticated tools meant to assist humans and it can never ever replace human labor. Having in mind the above points, the main purpose of this research is to investigate employee’s perception towards Artificial Intelligence technologies in human resources practices.The method used for data collection was the online survey and the tool used was the questionnaire. Along with the focus on the participant’s perception of AI, and the study also aims to understand the current AI technologies being practiced in Human Resources practices.


2002 ◽  
pp. 161-170
Author(s):  
Márta Zalainé Piros

It is a priority for companies to utilise human resources as much as possible. The form and effectiveness of the utilisation of labour largely depends on how much the manager of the company and the human resource management area support and encourage labour to develop individually and work more efficiently – as far as the size of the company justifies and allows. Effective incentive methods have to be set and run. Training incentives will have to play an important part in the future.There has been no major difference between training incentives between managers and subordinates. Material incentives continue to be the key factor. For managers, exchange of information is currently a primary training incentive, as is the opportunity to meet other experts and exchange their ideas. Further, performance-related payment and bonuses applied jointly are also some material incentives. In the future, material incentives will gain in importance. For subordinates, the operation of material incentives is currently highly important as a training incentive. This is not expected to change in the future either, while expectations linked to quality work will strengthen.


Author(s):  
А. Тихонов ◽  
A. Tihonov ◽  
В. Коновалова ◽  
Valyeriya Konovalova

In article the data of sociological polls of staff of HR-departments of the Russian companies reflecting their relation to technologies and to innovations in the sphere of management of human resources and also to artificial intelligence as to the instrument of automation of working processes in personnel management are considered. The obtained data are compared to results of sociological poll about the attitude towards technologies and innovations of the Russians in general reflecting moods in society. It has been revealed that an optimistic attitude to automating HR-processes with the help of technology is combined with disbelief that artificial intelligence can replace managers in matters requiring purely human, from the point of view of respondents, qualities, while respondents tend to extrapolate the current progress of artificial intelligence to the future and expect development from him in those areas where he has already succeeded at the moment, but not to expect qualitatively new breakthroughs in the near future.


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