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Intelligent tutoring systems (ITS) can help students learn successfully, yet little work has explored the role of caregivers in shaping that success. Past interventions to support caregivers in supporting their child's homework have been largely disjunct from educational technology. The paper presents prototyping design research with nine middle school caregivers. We ask: (1) what are caregivers' preferences for different prototypes incorporating data-driven recommendations into their math homework support? Integrating caregivers' preferences, we then ask: (2) what are caregivers' perceptions when interacting with a prototype of an intelligent chatbot tool to support students' homework? We found caregivers reported feeling comfortable integrating AI into their practices and appreciated chat-based support for understanding content and effective ITS use. Our results highlight the affordances of ITS data and AI to assist caregivers who would otherwise not be able to support their child's homework, paving the way for more effective and equitable mathematics learning. [This paper will be published in the ISLS2024 proceedings.]

The rapid advancements in Information Technology (IT) have profoundly impacted various aspects of human resource management, leading to the emergence of Electronic Human Resources (E-HR) as a transformative force in HR practices. This study investigates the future of IT and E-HR, examining emerging trends, innovative technologies, and their implications for the HR landscape. Drawing on a comprehensive review of literature and case studies, this paper explores key trends shaping the future of IT and E-HR, including artificial intelligence (AI), machine learning, data analytics, cloud computing, robotic process automation (RPA), and virtual reality (VR) technologies. It examines how these technologies are revolutionizing HR functions such as recruitment and selection, talent management, performance appraisal, learning and development, and employee engagement. Furthermore, the study delves into innovative applications of IT in E-HR, such as chatbots for HR assistance, predictive analytics for talent management, gamification for employee training, virtual reality simulations for onboarding, and blockchain technology for secure HR data management. It assesses the potential benefits, challenges, and ethical considerations associated with the adoption of these technologies in HR practices. Moreover, the paper explores the implications of the future of IT and E-HR for HR professionals, organizations, and the workforce at large. It discusses the evolving role of HR professionals as strategic partners and data-driven decision-makers, the impact of technology on job roles and skill requirements, and the importance of fostering a digital-ready workforce through upskilling and reskilling initiatives. Through a forward-looking analysis, this study offers insights into the future direction of IT and E-HR, highlighting opportunities for HR innovation, organizational transformation, and enhanced employee experiences. It concludes by discussing the strategic imperatives for organizations to embrace digital HR transformation and stay ahead in the dynamic landscape of HR management in the digital age. [ABSTRACT FROM AUTHOR]

Purpose: This paper explores the revolution in accounting driven by technological innovations, highlighting the transition of digitalization from a mere choice to a vital business necessity. The dynamic environment requires accountants to understand and incorporate new technologies to thrive in an ever-evolving business environment. The so-called "new" technologies promise to perform tasks more agile and efficient, thus providing a faster and more cost-effective approach in various sectors (White et al., 2017). In turn, companies' success is intrinsically linked to the ability to invest, use, and exploit these technological innovations effectively (Cong et al., 2018). With the continuous advancement of increasingly sophisticated technologies with disruptive capabilities, new companies have emerged to adopt innovative business models (Watson, 2017), while some established institutions have reinvented their business models. As a result of this dynamic context, the accounting professions are under pressure, as indicated by several studies (e.g., Cai & Singh, 2019; Kaya et al., 2019; Kokina & Blanchette, 2019; Kruskopf et al., 2019; Marshall & Lambert, 2018). At the same time, there is a permanent need to reinvent accounting education (Alderman, 2019; Kokina & Blanchette, 2019; Pan & Seow, 2016), to keep up with current changes. Thus, this paper aims to provide a concise overview of emerging technologies in accounting, highlighting findings that contribute to the up-to-date understanding of the transformative role of these technologies in contemporary accounting practice. Methodology: In this work, a literature review was carried out, looking for articles related to emerging technologies in accounting and published in important and quality scientific journals. The research was conducted in Web of Science (WoS), Scopus and Google Scholar on emerging technologies in accounting (search terms: "emerg* technolog*" and "accounting"), in the period between 2003-2023. Subsequently, the articles to be considered were manually selected, as well as the relevant information in each of them. More precisely, the search was restricted to documents presumed to be scientific articles written in English. Subsequently, through a verification process, we manually analyzed all keywords, titles, and abstracts of the articles, and when necessary, the entire content of each article included in the database was reviewed. Results: The rapid digital transformation that we are witnessing is transversal to all areas and accounting and auditing has undergone several changes in recent years, with a transformation of business models (Tiron-Tudor et al., 2024). As artificial intelligence, blockchain, big data analytics, robotics, cybersecurity, and other advanced technologies permeate the accounting field, we are witnessing not only the modernization of processes, but also the training of professionals to become strategic and analytical agents. These innovations are not simply additions to accounting practice, but transformations that transcend how we understand and perform accounting work. The literature has recognised that the combination of various technologies such as robotic process automation (RPA) and artificial intelligence, blockchain, and big data analytics can be an asset for solving problems in the areas of accounting and auditing (Asatiani et al. 2020; Cooper et al. 2020; Ribeiro et al. 2021). The introduction of new technologies is a complex, time-consuming and, in certain circumstances, costly process. This can be a challenge, particularly for smaller companies, which may not be able to implement new technologies on a scale comparable to larger companies. Consequently, these companies may face difficulties adapting to technological changes (Marr, 2016). The continued advancement of AI and other emerging technologies, combined with an increasing ability to analyze large volumes of data, has increased the threat of significant automation of many jobs in the future (Brynjolfsson & McAfee, 2014). However, it is crucial to remember that even with the extinction of some jobs, new job opportunities will emerge (Marr, 2016). Originality: The theme of accounting transformation driven by emerging technologies is both original and crucial. It originally highlights how traditional accounting practices are reinvented by rapid technological evolution. It's important because companies that don't keep up with these changes risk being left behind in a competitive market. The importance also lies in the changing role of accounting professionals who use advanced technologies to aid decisionmaking. In short, this theme highlights the need for organizations to understand and adopt emerging technologies to ensure their sustainability and growth in a dynamic business environment. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) has swiftly emerged as a transformative, dynamism and reforming numerous facets our lives. According to the International Data Corporation report spending on AI is projected to reach $97.9 billion by 2023. It means businesses across different industries embrace AI technology to improve their operations, gain a competitive edge, and unlock new opportunities for business. However, the increasing adoption of AI in business also pretence some challenges that must be addressed. In this article discussed the future of artificial intelligence, its opportunities, and identified major challenges in presents for business. This paper delivers insights into the current state of AI adoption and its potential for future growth to drive important progresses in business operations, including enlarged production, cost savings, and enriched decision-making. The paper concludes by providing recommendations for businesses looking to accept AI and highlights the need for a collective approach between businesses, policymakers, and other stakeholders. [ABSTRACT FROM AUTHOR]

This research explores the transformative potential of AI-based credit scoring and its profound impact on financial inclusion. The financial industry is experiencing a paradigm shift, with AI and machine learning at its core. Traditional credit scoring models have struggled to provide equitable access to credit, particularly for marginalized communities. AI-based credit scoring promises enhanced precision, faster decision-making, and broader credit access. However, it also raises ethical concerns and necessitates robust regulatory frameworks to ensure fairness, transparency, and data privacy. This paper not only highlights the critical role of regulatory oversight but also offers valuable insights for policymakers, financial institutions, and fintech companies aiming to harness AI's potential while addressing challenges to foster a more inclusive financial landscape. Keywords: AI-based credit scoring, Financial inclusion, Fintech companies, Inclusive financial [ABSTRACT FROM AUTHOR]

The article describes the possibility of applying artificial intelligence in broad scientific research in the field of magnetic abrasive finishing. Artificial intelligence makes it possible to accelerate research work at certain stages, which reduces costs. A prerequisite for its use is the formulation of appropriate queries and limiting the range of responses. These limitations are mainly due to the lack of access to scientific databases. The paper uses OpenAI software called Chat GPT and describes the specifics of the work. The paper examines the various aspects of creating a scientific study starting with selecting a topic, reviewing the literature, developing a research methodology, developing and analyzing the results, and drawing conclusions. The topic of intellectual property and the originality of the results and conclusions obtained was also touched upon. On this basis, a comparison was prepared showing the areas of scientific activity where the use of artificial intelligence is most effective. [ABSTRACT FROM AUTHOR]

Researchers are currently paying increased attention to the problem of green supplier selection because it affects the performance of green supply performance. However, the previous article never discussed the literature review on Green Supplier Selection for the Agri-food Industry. Therefore, the purpose of this paper is to provide a thorough analysis of the methodology and context of Green Supplier Selection for the Agri-food Industry. From 2014 to 2022, 28 peer-reviewed papers were collected from the Scopus database and Google Scholar searches. This review study is divided into two problem contexts: green supplier selection and green supplier selection and order allocation. Furthermore, this review is based on a methodology that incorporates problem-solving techniques such as Multi Criteria Decision Making (MCDM), Mathematical Programming (MP), Artificial Intelligence (AI), and Hybrid (Integrating MCDM-MP and MCDM-AI). The results show that the Green Supplier Selection problem has received the most attention, followed by the Green Supplier Selection & Order Allocation problem. Furthermore, the MCDM procedure dominates the methodology used in the Green Supplier Selection. [ABSTRACT FROM AUTHOR]

Industry 4.0 is transforming the manufacturing industry through the integration of advanced technologies such as automation and information technology. This paper provides a comprehensive review of the impact of Industry 4.0 on automation and information technology in industry. It examines the potential benefits of Industry 4.0, including improved efficiency, productivity, flexibility, and customization, as well as the challenges businesses face in implementing these technologies. The paper discusses the need for careful planning, collaboration, and investment to ensure that Industry 4.0 investments align with business goals and provide a return on investment. Also, this paper highlights the need to prioritize cyber security and training to mitigate the risks associated with integrating advanced technologies. It identifies the importance of reskilling and upskilling the workforce to prepare for new roles and responsibilities and highlights the need to prioritize cybersecurity in Industry 4.0 strategies. The paper highlights the opportunities that Industry 4.0 offers businesses to create new business models and transform their manufacturing operations. The use of advanced technologies such as 3D printing, artificial intelligence and the Internet of Things enables businesses to create products on demand and tailor them to specific customer needs. This can increase customer satisfaction and create new business opportunities. Alongside this, this paper presents an analysis of the impact of Industry 4.0 on various industries and the growth in adoption of Industry 4.0 technologies over time. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) with mathematical modelling is one of the most metaphoric technologies in modern history. It helps businesses around the world, improving efficiency and optimizing resources especially in supply chain management (SCM) and logistics sector. AI has also made its way into supply chains and logistics, where it provides several advantages to businesses that are prepared to accept new technology. The review refers to the previous research papers with keywords of AI, supply chain, logistics are sorted from five recent years and aims to comprehensively review types of technologies used by optimizing the strategies and the implementation of AI methods highlight several challenges faced by AI to be deployed in this sector. The soft computing extracted in this paper mainly uses AI and fuzzy logic for problem giving and enhances the efficiency of SCM. However, there are challenges that are encountered by AI to predict and drive the decision making with minimum complications. Several challenges addressed in this paper are resources, lack of security especially in RFID systems and the complexity found in robotics systems in logistics. In conclusion, based on the literature review, the research framework, new research based on the research gap is able to be obtained for further research focus. [ABSTRACT FROM AUTHOR]