...Nazia Tasleem; Mohammed Nadeem Ansari; Munshi Naser Ibne Afzal Purpose This paper aims to develop an artificial intelligence ( AI )-driven Bayesian framework for valuing country-level HR technology readiness under uncertainty and volatile financial environments. Traditional rankings provide...

...Susana Soares Pinheiro Vieira Pescada; Fernando José Calado e Silva Nunes Teixeira Purpose This study aims to explore the potential of artificial intelligence ( AI ) to reshape the governance and operations of the National Integrated Continued Care Network ( NICCN ) in Alentejo, Portugal...

...Marta J.M. Machado; Neuza C.M.Q.F. Ferreira Purpose This study aims to develop a decision-support framework that assists small- and medium-sized enterprises (SMEs) in navigating the challenges and opportunities presented by the integration of artificial intelligence ( AI ). The framework...

...Teona Gelashvili-Luik; Peeter Vihma; Ingrid Pappel; Fernando A.F. Ferreira Purpose This study aims to investigate how artificial intelligence ( AI ) shapes knowledge management ( KM ) practices in FinTech and how these changes influence human judgement in strategic decision-making. It responds...

...Isabel Barbosa; Elizabeth Real de Oliveira Purpose This paper aims to examine how artificial intelligence ( AI ) reshapes contemporary work by augmenting, rather than substituting, human roles, engaging explicitly with substitution, augmentation and co-evolutionary perspectives on AI...

...Seifallah Andayesh; Elahe Asadolahidehkordi; Shib Sankar Sana Purpose This study aims to investigate the intellectual structure of research on artificial intelligence ( AI ) within the sales domain through a co-word analysis approach. By examining patterns of keyword co-occurrence in scholarly...

... ‖^{2) where ɣ is a hyperparameter which varies between 0 and 1. Machine learning Artificial intelligence Credit ratings Non-banking finance companies (NBFCs) Pre-crisis period SVM algorithms have been extensively examined for credit rating prediction, yielding promising results}...

...Deepanjana Varshney; Aditya Varshney Purpose This paper aims to examine artificial intelligence ( AI )-related ethical considerations and governance in select countries through an exploratory approach, studying recent research in the domain. Design/methodology/approach A model...

... scenarios (Figure 3). Workforce Task allocation Genetic algorithm Financial services Finance Decision support systems Algorithms Allocation Artificial intelligence Human resources Symbol = Meaning; n = number of tasks; m = number of analysts...

... intelligence techniques and machine learning models (Jin and Xu, 2024e ; Jin et al., 2025b ; Jin and Xu, 2024i) . Furthermore, recent research has demonstrated the great potential of employing machine learning models and artificial intelligence algorithms to forecast the values of a wide range...

...Xinyue Hao; Emrah Demir; Daniel Eyers Purpose The purpose of this study is to provide a holistic understanding of the factors that either promote or hinder the adoption of artificial intelligence (AI) in supply chain management (SCM) and operations management (OM). By segmenting the AI lifecycle...

...Milad Shahvaroughi Farahani; Shiva Babaei; Zahra Sadat Kharazan; Ali Bai; Zahra Rahmati; Ghazal Ghasemi; Fardin Alipour; Hamed Farrokhi-Asl Purpose This paper aims to predict Dogecoin price by using artificial intelligence (AI) methods and comparing the results with the econometrics models...

... Limited 2024 Emerald Publishing Limited Licensed re-use rights only Inventory management Supply chain management Simulation Procurement Artificial intelligence Predictive maintenance Our study distinguishes itself from the extant literature by assessing the feasibility of deploying...

... volume Prediction Nonlinear autoregressive neural network Finance Forecasting Energy Time series Artificial intelligence Neural networks AR = autoregressive; AR-GARCH = autoregressive-generalized autoregressive conditional heteroskedasticity; ARIMA = autoregressive...

...., 2021 ; Garanina et al., 2021 ; Lin and Edvinsson, 2021). Knowledge management Financial analysis Artificial intelligence Istanbul Sabahattin Zaim University BAP-1000-82 From the broadest perspective, intellectual capital (IC) is the value-generating intangible assets...

... have far-reaching ramifications with regard to strengthening CE is artificial intelligence (AI). Consequently, it becomes extremely important to understand how AI is helping the marketer reach customers and create value for the firm via CE. Design/methodology/approach A detailed approach using both...

... Publishing Limited Licensed re-use rights only Artificial intelligence Modelling Policy Algorithms Econometrics Office property price index Vector error correction modeling Directed acyclic graph PC algorithm Linear non-Gaussian acyclic model Real estate markets have been fast...

... volatility models combining artificial intelligence with econometric techniques to detect noise, sudden changes and chaotic information easily. Research limitations/implications The author has taken the research papers from the scholarly journal published in the English language only and the author may...

..., as: (6) ( C ′ C ) W ^ = C ′ Y Therefore, the unknown weights can be estimated by solving these equations as follows: These constraints have attracted researchers' attention to the second category of forecast methods, artificial intelligence. The most popular...

... Limited 2021 Emerald Publishing Limited Licensed re-use rights only Artificial intelligence Modeling Decision analysis Data mining Cost analysis Meta-learning Cost-sensitive algorithms Machine learning algorithms This research is motivated by the fact that it is now widely...