Impact of artificial intelligence in human resource management: a qualitative study in the Malaysian context

Sithambaram, Rani Angammah; Tajudeen, Farzana Parveen

doi:10.1111/1744-7941.12356

Cited by 26 publications

(12 citation statements)

References 17 publications

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“…The relationship of AI with knowledge sharing and EMHWB was found to be significant (hypotheses 2a and 3a). This highlights the importance of the AI concept in human resource management (Sithambaram and Tajudeen 2022), as it is said that AI challenges for HRM require serious reconsideration (Kshetri 2021). The direct relationship between knowledge sharing and EMHWB with employee productivity is positively significant (hypotheses 2b and 3b).…”

Section: Discussionmentioning

confidence: 99%

Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being

Shaikh

Afshan

Anwar

et al. 2023

Asia Pac J Human Res

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Following social cognitive theory, the current study investigated the impact of artificial intelligence (AI) on employees' productivity in the healthcare sector. AI significantly facilitates the management of hospitals to vigilantly assess employees’ productivity and accurately analyze employees' characteristics, such as attitude, emotion and behavior. With the underlying mechanism of employee mental health and well‐being, and knowledge sharing, the study has considered beneficial and harmful perspectives of AI in the workplace. The study also hypothesizes the important moderating role of technological leadership. The data was collected from 184 doctors in Pakistan's major hospitals. Partial least squares (PLS) results support a direct relationship between AI and employee productivity. The findings also supported the underlying mechanism of knowledge sharing and mental health and well‐being in the relationship between AI and employee productivity. However, the technological leadership moderating effect was found to be insignificant. It opens an important avenue for this further research and future directions.

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Section: Discussionmentioning

confidence: 99%

Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being

Shaikh

Afshan

Anwar

et al. 2023

Asia Pac J Human Res

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“…They also use several tools such as those for the distribution of tickets to the suitable categories of visitors and agents; platforms for reporting and analyzing; platforms for the description of work positions; platforms for the evaluation of employees, and virtual platforms for interviewing; platforms for virtual career fairs; platforms providing self-service help offered by talking robots; platforms used to encourage productivity and to manage talents. In addition, there are also learning platforms adapting to the needs for new knowledge and simultaneously determining the needs based on the users' preferences (Sithambaram & Tajudeen, 2022).…”

Section: Human Resource Management and Artificial Intelligencementioning

confidence: 99%

“…On the contrary, it enables employees to seek additional skills and value to achieve higher productivity and a better balance between professional and private life (Sithambaram & Tajudeen, 2022). Microsoft's research (2019) also shows that the use of AI in the future may double the number of innovations and increase the productivity of employees.…”

Section: Artificial Intelligence At Work Positionmentioning

confidence: 99%

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Towards Collaborative Business Intelligent Framework: Crowdsourcing Approach

Cherednichenko¹,

Vovk²,

Sutiahin³

2023

42nd International Conference on Organizational Science Development

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Collaborative Business Intelligence goes beyond the organization frame and collecting people in one virtual space in order to give their opinion concerning certain issue results in an opportunity to boost the decision-making process and make it more reasonable. Strangers solve one problem without direct interaction and use the developed results. Tourists often search for information from different sources and compare found facts. It takes a lot of time and effort. So, having an application, where users could find relevant information and use it for decisionmaking is essential. The aim of the paper is to develop an application for tourists using which they could make a decision about where and why to go. We propose an approach to collect and clear data related to tourism, preprocess and structure tourism data convenient interface and tools for collaborative analysis.

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“…In the second paper of our Special Issue the authors Sithambaram and Tajudeen (2022) present their article 'Impact of artificial intelligence in human resource management: a qualitative study in the Malaysian context' to illuminate how AI can have a positive impact across a number of HR functions. The research for this article was carried out in Malaysia where 12 companies participated in the study.…”

Section: Impact Of Artificial Intelligence In Human Resource Manageme...mentioning

confidence: 99%

In what ways are HR analytics and artificial intelligence transforming the healthcare sector?

Cavanagh,

Pariona‐Cabrera,

Halvorsen

2023

Asia Pac J Human Res

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Our Special Issue is focused on the healthcare sector relevant to the Asia Pacific region, including hospitals, aged care facilities, allied health, doctors, nurses, management and administration staff and all services associated with the healthcare industry. There are a range of issues that impact on healthcare including the growing use of health services during the pandemic, emergency situations, complex forms of technology, worker expectations, work intensification, and government reporting requirements. More research needs to be carried out in these issues as well as social policy, the delivery and quality of patient care, gender in the workplace, disability, and management innovation (Cooke and Bartram, 2015; Human Resource Management, 2015, 54, 711). There are high levels of stress due to staff being overworked and experiencing a lack of coping skills (Pariona‐Cabrera et al., 2023; Health Care Management Review, 2023, 48, 42), burnout manifestations through emotional exhaustion (Maslach, 2017; Consulting Psychology Journal: Practice and Research, 2017, 69, 143) which often result in intention to leave (Holland et al., 2019; Applied Nursing Research, 2019, 49, 70; Pariona‐Cabrera, Cavanagh and Bartram, 2020; Journal of Advanced Nursing, 2020, 76, 1581; Shao et al., 2023; Human Resource Management Journal, 2023, 33,187). In Australia, more than 70% of 366,000 nurses working in aged care facilities have reported at least one experience of workplace violence during the previous 12 months including physical and verbal violence from residents, relatives, and visitors (Schablon et al., 2018; International Journal of Environmental Research and Public Health, 2018, 15, 1274). There are too many managers who rely on underdeveloped HR processes and outdated management perceptions to make decisions about the well‐being of healthcare staff. Countries in the Asia‐Pacific region are actively seeking partnership projects and new ways to enhance the performance of healthcare staff and their organisations. We have touched on broad issues here and argue it is possible some of the answers can be found in the use of HR analytics and artificial intelligence (AI).

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Impact of artificial intelligence in human resource management: a qualitative study in the Malaysian context

Cited by 26 publications

References 17 publications

Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being

Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being

Towards Collaborative Business Intelligent Framework: Crowdsourcing Approach

In what ways are HR analytics and artificial intelligence transforming the healthcare sector?

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