...Anjali Dimri; Pankaj Kumar; Deepshi Garg Purpose As artificial intelligence (AI) and machine learning (ML) technologies continue to revolutionize various industries, understanding their impact on job embeddedness becomes crucial. This study examine the role of AI and ML technologies on job...

...Ross Taylor; Masoud Fakhimi; Athina Ioannou; Konstantina Spanaki Purpose This study proposes an integrated Machine Learning and simulated framework for a personalized learning system. This framework aims to improve the integrity of the provided tasks, adapt to each student individually...

... the efficacy and productivity of PMS. Practical implications The implementation of new technologies such as Artificial intelligence (AI), machine learning and robotics etc. in PMS have also been analysed to give a sneak peak of the bigger future picture of AI and strategic human resource integration...

... recognition marketing Artificial intelligence Neuro-information system Machine learning Modern marketing Globalization has greatly added to the complexity of the marketing process. This complexity can largely be addressed by automating the marketing techniques used to generate market demand...

...Ujjwal Kanti Paul Purpose This study aims to examine the technical efficiency of the chemical-free farming system in India using a hybrid combination of data envelopment analysis (DEA) and machine learning (ML) approaches. Design/methodology/approach The study used a two-stage approach...

... would help other similar firms in retaining their valuable human capital. At the same time, the importance of using machine learning methods for prediction has received more and more attention. In fact, a large amount of data has been collected by organizations for about a decade, which has...

... to compare the research of supply chain risks before and during the COVID-19 pandemic based on machining learning and text clustering and using the relevant publications of the web of science database. Findings The results show that scholars' attention to supply chain crisis has increased in the wake...

...Rajan Kumar Gangadhari; Vivek Khanzode; Shankar Murthy; Denis Dennehy Purpose This paper aims to identify, prioritise and explore the relationships between the various barriers that are hindering the machine learning (ML) adaptation for analysing accident data information in the Indian petroleum...

...Syed Asif Raza; Srikrishna Madhumohan Govindaluri; Mohammed Khurrum Bhutta Purpose This paper conducts a Systematic Literature Review (SLR) of Machine Learning (ML) in Supply Chain Management through bibliometric and network analysis, the authors are able to grasp key features of the contemporary...

... Licensed re-use rights only Employability Predictive modeling Predictive analytics Management education Machine learning The B-Schools in India can be classified as Tier -1, Tier -2 and Tier -3. The Tier -1 is of the top B-schools of the country, which have an excellent infrastructure...

...Mohammadreza Akbari; Thu Nguyen Anh Do Purpose This paper presents a review of the existing state-of-the-art literature on machine learning (ML) in logistics and supply chain management (LSCM) by analyzing the current literature, contemporary concepts, data and gaps and suggesting potential topics...

... was conducted with 450 paddy growers. In comparison to the general DEA approach, the FDEA model evaluates fuzzy DEA efficiency giving the user the flexibility to measure the performance at different possibility levels. Originality/value The use of machine learning applications introduces advanced strategies...