Change Management Research Articles

Unraveling land use land cover change, their driving factors, and implication on carbon storage through an integrated modelling approach

Land Use Land Cover (LULC) change is a complex phenomenon driven by various natural and anthropogenic factors, significantly impacting carbon storage potential. By applying integrated models of ANN-CA Markov, GeoDetector, and InVEST model, this study aimed to analyze LULC change, their driving factors, and implications on carbon storage in the Forest Management Unit (FMU) of Ampang Plampang in West Nusa Tenggara, Indonesia. Several data sources were utilized in the modelling approach, including DEM (Digital Elevation Model), topographical map, Landsat imageries (2011, 2016, 2021), measured carbon density (above ground, below ground, soil, dead organic), and socio-economic data (number of populations, farmer, and agricultural land). The dryland forest in the study area constitutes the most extensive LULC that has experienced significant declines due to deforestation, predominantly transforming into agricultural land, and these are predicted to continue until 2031 with different magnitudes. The significant driving factors of LULC change were elevation, population pressure on land, and distance from settlement. The LULC change also greatly influenced the decline of carbon storage historically (2011–2016) and in projected LULC (2026–2031). The conversion of forested areas to non-forest LULCs has released carbon emissions of about 1.89 Mt CO2-eq. The study findings implied that the integration of ANN-CA Markov, GeoDetector, and InVEST models has been helpful for comprehending complicated interactions among LULC change, driving factors, and carbon dynamics. The results also contribute to the scientific knowledge base for land management decision-making and policy formulation. Effective management of LULC changes through low carbon development is suggested to mitigate the loss of carbon storage capacities, foster sustainable development goals (SDGs), support Nationally Determined Contribution (NDC), and improve ecosystem resilience

Prospective evaluation of quantitative response parameter in patients with Gastrointestinal Stroma Tumorundergoing tyrosine kinase inhibitor therapy-Impact on clinical outcome.

The purpose of this study was to determine if dual-energy CT (DECT) vital iodine tumor burden (ViTB), a direct assessment of tumor vascularity, allows reliable response assessment in patients with GIST compared to established CT criteria such as RECIST1.1 and modified Choi (mChoi). From 03/2014 to 12/2019, 138 patients (64 years [32-94 years]) with biopsy proven GIST were entered in this prospective, multi-center trial. All patients were treated with tyrosine kinase inhibitors (TKI) and underwent pre-treatment and follow-up DECT examinations for a minimum of 24 months. Response assessment was performed according to RECIST1.1, mChoi, vascular tumor burden (VTB) and DECT ViTB. A change in therapy management could be because of imaging (RECIST1.1 or mChoi) and/or clinical progression. The DECT ViTB criteria had the highest discrimination ability for progression-free survival (PFS) of all criteria in both first line and second line and thereafter treatment, and was significantly superior to RECIST1.1 and mChoi (p < .034). Both, the mChoi and DECT ViTB criteria demonstrated a significantly early median time-to-progression (both delta 2.5 months; both p < .036). Multivariable analysis revealed 6 variables associated with shorter overall survival: secondary mutation (HR = 4.62), polymetastatic disease (HR = 3.02), metastatic second line and thereafter treatment(HR = 2.33), shorter PFS determined by the DECT ViTB criteria (HR = 1.72), multiple organ metastases (HR = 1.51) and lower age (HR = 1.04). DECT ViTB is a reliable response criteria and provides additional value for assessing TKI treatment in GIST patients. A significant superior response discrimination ability for median PFS was observed, including non-responders at first follow-up and patients developing resistance while on therapy.

Monitoring and speed control of AC motor using PWM technique

This study focuses on how to monitor and regulate the speed of an AC motor using pulse width modulation (PWM) technology. PWM signals regulate motor voltage and enable continuous monitoring of voltage, current, and speed in addition to speed control. Comparing this technology to conventional techniques yields considerable advantages like enhanced power and speed control. PWM-based speed control can be implemented using circuits specifically designed for motor control or microcontrollers. It has been confirmed that PWM-based control can regulate the target motor under a variety of operating conditions and that it is reliable and efficient. To boost production and efficiency, this change management technique can be applied in a variety of industries, including robots, HVAC systems, and industrial automation. The study results show the significance of PWM technology for monitoring and controlling the speed of AC motors, providing productive and affordable solutions to a range of enterprises and sectors.

ЕФЕКТИВНІСТЬ БІЗНЕС-ПРОЦЕСІВ НА ОСНОВІ ТЕХНОЛОГІЙ ОЩАДЛИВОГО ВИРОБНИЦТВА

The article examines the issue of increasing the efficiency of business processes based on Lean Production technologies. Lean production is a modern management concept aimed at minimizing losses and optimizing enterprise resources. The article compares the efficiency of implementing lean production technologies to optimize business processes at enterprises and the impact of Lean technologies on cost reduction, improvement of the quality of goods and services, and productivity improvement. In particular, the main tools of lean production, such as 5S, kanban, kaizen, standardization of work processes, and their impact on reducing costs, improving product quality, and shortening production cycles are considered. It has been established that the application of Lean technologies helps to identify and eliminate actions that do not add value to the end user, thereby improving the performance of the entire technological production system. The importance of involving personnel in the process of implementing changes and forming a corporate culture focused on continuous improvement are emphasized separately. It has been established that the introduction of Lean Production tools improves the links of the technological cycle and ensures an increase in the efficiency of business processes at the enterprise. The choice of a specific tool depends on the strategic goals of the enterprise, the industry and the level of personnel training. It has been proven that in the national business environment there is a number of barriers that prevent the introduction of lean production technologies, such as: resistance to changes in personnel and management, personnel training, limitations in financial resources, insufficient flexibility of suppliers and untimely provision of resources, as well as instability of the national economy. The results of the study indicate that the implementation of Lean Production allows to significantly increase the efficiency of business processes, reduce costs, improve product quality and increase the flexibility of the enterprise in conditions of instability of the market environment. Key words: lean production, Lean Production, business process efficiency, cost optimization, product quality, production cycles, corporate culture.

Digitalization and Dynamic Criticality Analysis for Railway Asset Management

The primary aim of this paper is to support the optimization of asset management in railway infrastructure through digitalization and criticality analysis. It addresses the current challenges in railway infrastructure management, where data-driven decision making and automation are key for effective resource allocation. The paper presents a methodology that emphasizes the development of a robust data model for criticality analysis, along with the advantages of integrating advanced digital tools. A master table is designed to rank assets and automatically calculate criticality through a novel asset attribute characterization (AAC) process. Digitalization facilitates dynamic, on-demand criticality assessments, which are essential in managing complex networks. The study also underscores the importance of combining digital technology adoption with organizational change management. The data process and structure proposed can be viewed as an ontological framework adaptable to various contexts, enabling more informed and efficient asset ranking decisions. This methodology is derived from its application to a metropolitan railway network, where thousands of assets were evaluated, providing a practical approach for conducting criticality assessments in a digitized environment.

Adolescents’ Experiences in Managing Type 1 Diabetes

Objectives − This study examined perceived changes in diabetes management among adolescents with type 1 diabetes as they transition from childhood to adolescence, focusing on self-management, parental involvement, physical activity, and treatment reflections.Patients and Methods − Qualitative description employing individual semi-structured interviews was utilized with 19 adolescents. Interview data were processed using a content analysis approach.Results − Most adolescents managed their diabetes independently, drawing from years of experience. While some adhered to medical advice, others made independent decisions, prioritizing convenience, or habits. Parental roles varied, from regular supervision to granting autonomy. Many adolescents appreciated parental support, feeling it provided security, though some experienced it as overbearing or insufficient. They had increased independence in managing their diabetes as they grew older. Acceptance of the disease improved with time, aided by technological advancements. Challenges included increased insulin needs and food intake during adolescence, but overall, they felt more confident and responsible in self-management. Despite advancements in technology, practical challenges persist in managing diabetes during physical activity.Conclusion − Adolescents with diabetes generally develop effective self-management skills and appreciate increasing autonomy, though adherence to medical advice varies. Continued parental support and advanced diabetes technologies play crucial roles in their management. Personalized treatment and balanced parental involvement are needed to increase adherence.

Automated Inventory Management Systems with IoT Integration to Optimize Stock Levels and Reduce Carrying Costs for SMEs: A Comprehensive Review

Automated inventory management systems integrated with Internet of Things (IoT) technology represent a transformative approach for Small and Medium-sized Enterprises (SMEs) in optimizing their stock levels and reducing carrying costs. A literature review also shows that there is progress in developing automated solutions, such as IoT sensors, real- time data analytics, and cloud-based applications that improve inventory control. A study shows that the adoption of IoT in automation has seen improvement in the accuracy of inventory, a reduction in stockouts, and carrying costs among SMEs. Research suggests operational improvements including reduced downtime from real time tracking, reverse logistics systems with intuitive demand forecasting for ideal stock replenishment and automation of reordering systems while effectively managing working capital. Materials and Methods: Research methodology encompassed a comprehensive analysis of peer-reviewed literature, case studies, and empirical research focusing on automated inventory management systems with IoT integration in SMEs. Criteria for choosing the literature included articles focusing on the outcomes of IoT implementation, technical integration, and performance of inventory systems. Data extraction main concern was on the efficiencies of the SC such as inventory accuracy, carrying costs, stockouts, and ROI. Descriptive methods used involved comparisons between pre-implementation and post- implementation data, use of statistical tools for measurement of performance enhancement and assessment of factors important in the deployment of the system. Results Implementation of IoT-integrated automated inventory management systems demonstrated significant improvements across multiple performance metrics. Studies reported average inventory accuracy improvements of 25-35%, reduction in carrying costs [1] by 20-30%, and decrease in stockout incidents by 35-45%. Real-time monitoring capabilities led to improved demand forecasting accuracy by 40%, while automated reordering systems reduced manual processing time by 60%. Cloud-based platforms enabled better inventory visibility and control, resulting in working capital optimization of 15-25%. SMEs implementing integrated systems reported enhanced supplier collaboration, reduced lead times, and improved customer satisfaction levels. Cost-benefit analyses indicated positive ROI within 12-18 months of system deployment. Discussion Analysis reveals several key factors contributing to successful implementation of automated inventory management systems with IoT integration. Critical success factors include proper system architecture design, effective change management strategies, and comprehensive staff training programs. Integration challenges primarily revolve around initial investment costs, technical expertise requirements, and system interoperability concerns. Studies show that the greater gains are experienced by SMEs with higher ITOR and those engaged in intricate supply chain operations. Literature review also points to differences in implementation strategies across different sectors and in their recovery, with manufacturing and retail sectors having the highest levels of adoption and improvement. Conclusion IoT-integrated automated inventory management solutions should be adopted by SMEs and are affirmed by ample data to help optimize stock status and minimize carrying costs. The tangible benefits that could be noted are accuracy in inventory, less operational costs, visibility of supply chain, and optimal use of working capital. In appointing the factors affecting the implementation success, it requires the assessment of the technical feasibility and organisational readiness as well as the management of change strategies. Research shows that dynamic technology factors will continue to improve the system’s performance and increased availability to SMEs. Due to advancement in IoT technology, artificial intelligence and cloud computing, there are potential factors that may boost the performance and cost of automatically Managed inventory systems in the future.

Enhancement of Patient Engagement and Healthcare Delivery Through the Utilization of Artificial Intelligence (AI) Technologies

Background: Patient engagement refers to the actively involvement of individuals in their own treatment, decision-making, and partnering with healthcare providers. Due to the progress of Artificial Intelligence (AI), there is a groundbreaking shift happening in healthcare that is bringing numerous benefits to patients and health systems. AI technologies are not only used as instruments in healthcare but also evolving into collaborators for diagnosing and treating patients, as well as enhancing the quality of services, offering a personalized, timely, and interactive healthcare experience. This article delves into how AI is changing patient engagement by increasing effectiveness and catering to individual patient requirements. Methods: The research made use of previously published materials on artificial intelligence, data, and robotic technologies in healthcare settings to explore ways in which patients can be effectively involved in the advancement of these technologies in healthcare settings. Results: AI-powered decision support systems improve healthcare operations by giving instant access to data analysis and medical advice, ultimately aiding in making decisions based on real-time evidence. AI enables proactive healthcare interventions by detecting potential health issues in real time, allowing for remote patient monitoring. Motivating patients to actively participate can result in improved adherence to the treatment plan. Overall, patient engagement appears to be the most well-developed and progressive concept for enabling patients to participate actively in their healthcare. Conclusions: AI technologies are more than just tools in healthcare; they are evolving into collaborators in patient involvement, providing a personalized, proactive and engaging healthcare journey. Further evidence is required to comprehend how patients engage in the process and if this leads to better quality of care. In the dynamic health sector, change management is essential for continuously updating and adjusting healthcare facilities to address the evolving needs of patients. Health systems that do not adjust to changes in a timely manner are unsuccessful.

Human Resource Planning Strategy to Improve the Quality of Online Library Management Information Systems (E-Libraries) of Higher Education in the Industrial Era 5.0

Library management information systems in universities are essential for managing e-libraries in universities. The world of education will face one of the challenges after 2030: the use of information technology or robotics in various sectors of human life, one of which is university libraries. This research was conducted using a literature approach by collecting data from various relevant theoretical sources about human resource management and higher education management information systems in the context of university library human resource planning strategies. This article delves into the practical application of library human resource planning strategies in universities. It discusses the formulation of university library human resource planning and the development of human resources in the era of Society 5.0. Furthermore, it explores the challenges and opportunities in implementing these strategies, such as change management, adaptive higher education management information system policies, and the development of librarians' professionalism in the era of society 5.0. This study uses a literature approach by collecting data from relevant theoretical sources about library human resource management and higher education management information systems in the educational context of university library human resource planning strategies. Data is analyzed through systematic literature synthesis to identify university library human resource planning strategies that can improve the quality of management e-library in the era of Society 5.0. In this era, adaptive and technology-oriented human resource management strategies are the key to improving the quality of university e-library management.

AACSB-Accredited Colleges and Universities: An Examination of Standard A5 as a Guide to Prepare Accounting Graduates for the Digital Workplace

Employers demand that accounting graduates are well-versed in information and communication technologies. The Association to Advance the Collegiate Schools of Business (AACSB) establishes Standards for business and accounting schools, colleges, and universities across the globe. This systematic literature review examines the peer-reviewed research surrounding AACSB-Standard A5 Information Technology Skills, Agility, and Knowledge for Accounting Graduates and Faculty. Specifically, how AACSB-accredited institutions employ Standard A5 to guide curriculum innovation and change management best practices is emphasized. Results underscore the importance and significance of Standard A5 in navigating continuous improvement curriculum efforts in higher education.

Safety and accuracy of the computer interpretation of normal ECGs at triage.

ECGs performed at ED triage are mandatorily assessed by an emergency physician contributing to task interruptions, decreased quality of care and increased error risk. Recent literature suggests that a triage ECG interpreted as normal by the ECG machine software correlates with benign interpretation from attending cardiologists.Ambiguity persists regarding the safety of the normal computerized ECG interpretation and whether real-timephysician review is needed. In this prospective cohort study, we evaluated the GE Marquette 12SL ECG software's clinical accuracy for normal triage ECGs. We compared machine interpretation, ED physicians' real-time interpretation and management as well as cardiologists systematic but delayed review of the ECGs to establish diagnostic accuracy and safety of a normal software interpretation. Additional data were collected from the emergency department patient tracking system and charts to determine patient outcomes when machine normal interpretation differed from ED physicians and cardiologists' analysis. Between November 16th 2020 and November 19th 2021, we collected 1220 machine-normal ECGs performed at Charles-Le Moyne Hospital ED triage. 1051 ECGs were eligible for inclusion. ED physicians agreed with the machine for 1028 normal diagnoses (97.8% IC (0.95): 96.7-98.5) and cardiologists agreed with the machine for 1037 ECGs (98.7% IC (0.95) 97.8-99.2). Relevant changes in ED management were recorded in three patients (0.29% IC (0.95): 0.1-0.8) whose ECGs were read as normal by the software: two emergent referrals to the catheterization lab and one emergent transfer to the resuscitation bay with next day coronarography. A normal ECG interpretation from the GE Marquette 12SL ECG software at ED triage has a very high accuracy and a very low probability of clinically relevant change in patient outcome and ED trajectory.

Pain chronification risk assessment: advanced phenotyping and scoring for prediction and treatments tailored to individualized patient profile

AbstractAcute pain is a physiologic, protective life-important warning neurological signal indicating multi-level tissue modulations caused by a broad spectrum of health adverse events such as stress overload, mechanical trauma, ischemia–reperfusion, sterile and infection-triggered inflammation, single- and multi-organ damage, acute and chronic wounds, tissue remodeling and degeneration, amongst others. On the other hand, pain chronification results in a pathologic transformation from the protective pain signaling into persistent debilitative medical condition with severe consequences including but not restricted to phenotype-specific behavioral patterns, reduced quality of life, and cognitive and mood disorders. Who is predisposed to an increased vs. decreased pain sensitivity and to the pain chronification? The motivation of personalized medicine that “same size does not fit all” is getting obvious also for an advanced approach in algesiology. Consequently, an in-depth patient stratification is essential for the paradigm change in overall pain management from currently applied reactive medical services to the cost-effective predictive, preventive, and personalized medicine (PPPM/3PM) in primary (reversible damage to health and targeted protection against health-to-disease transition) and secondary (personalized protection against disease progression) care. To this end, specifically innovative concepts of phenotyping elaborated in this study play a crucial role in patient stratification for predicting pain-associated outcomes, evidence-based targeted prevention of the pain chronification, and creation of treatment algorithms tailored to individualized patient profiles.

Developing dynamic capabilities for successful digital transformation projects: the mediating role of change management

Developing dynamic capabilities for successful digital transformation projects: the mediating role of change management

Tracing human influence on rising surface air temperature in Venezuela.

The rise in surface air temperature (SAT) in Venezuela, leading to the loss of all its glaciers, underscores the urgency of understanding human contributions to this phenomenon. This study investigates the impact of anthropogenic climate forcings on SAT across Venezuela, employing observational data, multi-model simulations, and optimal fingerprinting method. Anthropogenic forcings have driven a 0.40-0.85 C SAT rise during the industrial era, with land use (LU) emerging as a significant driver (0.36-0.68 C), surpassing greenhouse gases (GHGs) (0.10-0.62 C). Conversely, anthropogenic aerosols (Aaer) exhibit a cooling effect (- 0.93 to - 0.25 C) on SAT. Projections under Representative Concentration Pathways 4.5 indicate substantial SAT increases by the 21st century's end, underscoring human-induced SAT rise. Effective management of regional Aaer and LU changes in Venezuela holds the potential for mitigating current and future warming and its subsequent impacts on the fragile ecosystem of this region.

Key Competencies for the Management of Educational Change: The Voice of Heads of Maltese Primary State Schools

Key Competencies for the Management of Educational Change: The Voice of Heads of Maltese Primary State Schools

Logistics Management and Service Delivery in Humanitarian Organisations in Kenya: A Case Study of Kenya Red Cross Society

The goal was to assess the effects of supplier management and information management on the KRCS’s service delivery. Goal-Setting Theory is the main theory, supported by resource-based view and institutional theory. The study targeted a population of 300 individuals using a descriptive research approach. A total of 171 individuals were chosen for the sample size using stratified random sampling. Data was acquired by means of surveys. Basic statistics were used to assess the quantitative data, and SPSS version 27 was used for data analysis. Tables were used to display the data. Inferential statistics were used to illustrate the link between the variables. Throughout the course of the study, the research investigation was guided by a few ethical criteria. The R2 values for the relationship between supplier management and service delivery were 0.642, indicating a positive association, and 0.499, suggesting that changes in supplier management may account for 49.9% of the variation in service delivery. fundamental correlation between service delivery and information management (R = 0.595), with an R2 value of 0.431, while the DV was service delivery. To ensure successful logistics management and service delivery, KRCS should improve supplier management and service delivery, which is necessary, and that they can balance organizational goals and priorities with the supplier's perspective on challenges. This will improve the efficiency and effectiveness of the processes that the KRCS and communities in need of support use. KRCS service delivery can be increased by using auto- technologies. Independent variable technologies are welcomed since they will make product marking more accurate and efficient, which will improve operations.

BN SO33 - The complex benign multi-disciplinary team meeting - a paradigm shift in decision making for benign oesophagogastric surgery

Abstract Background Decision making in benign OG pathology can be particularly challenging given the overlap with functional disorders, such as reflux hypersensitivity. A specialist benign oesophagogastric (OG) multidisciplinary team (MDT) may improve our ability to triage potential surgical candidates from those with functional conditions. Unlike in OG cancer, there is a paucity of evidence to support an MDT based approach in benign OG surgery. This study aims to report our experience of introducing a specialist benign OG MDT in an OG tertiary centre in the UK, examining the effect on decision making and an assessment of its acceptability and utility to clinicians. Method A review of consecutive cases discussed in the specialist benign OG MDT since inception in 2022 was undertaken. We reviewed indications, treatment plans and outcomes, any alteration in treatment pathway and final decisions. The primary outcome was the proportion of patients with a change in management as a result of MDT discussion. Where applicable, results were reported using descriptive statistics. A seven-item electronic questionnaire was also circulated to MDT members (OG surgeons, specialist gastroenterologists, GI radiographers, GI physiologists, and doctors in training), to assess the acceptability and perceived utility of the meetings. Results 74 patient cases were discussed (median age 57.5 (25-79) years). 71/74 (96.0%) of referrals were made by OG surgeons, most commonly to discuss anti-reflux procedures (53/74 (71.6%)). 34/74 (45.9%) patients had undergone previous surgery, most commonly laparoscopic fundoplication. MDT discussion led to a change in management in 43/74 (58.1%) case with recommendations of further investigation (23.0%), further OG clinic review (18.9%) and 21.6% listed for surgery. 12/74 (16.2%) were referred to other specialist services, including clinical psychology. Survey confirmed that all MDT members found their understanding of oesophageal physiology and subsequent decision-making ability in clinic was greatly enhanced. Conclusion Our results show that the complex benign MDT is an effective tool, demonstrating changes to management in over half of cases discussed, including recommending surgery less frequently following specialist review of physiology investigations. Such tests effectively identify functional disorders, such as rumination, highlighting a need for clear onward referral pathways involving specialist psychologists. The meetings have also proven to be valuable learning tools for all attendees of all grades. We strongly believe that adopting an MDT approach to benign OG conditions will enhance collaborative decision making, improve patient outcomes and therefore should be nationally mandated and recommended through AUGIS guidelines.

How Managers Experience Downsizing: Navigating among Professional, Loyal, Empathic, and Critical Positions

ABSTRACT Downsizing, a significant organizational change, is often entrusted to middle managers. These agents play a crucial role in navigating the complexities of downsizing, yet we know little about their downsizing experiences. In this study, our research question was: how do managers who have to lay off people experience downsizing. We used discourse analysis to describe what we refer to as ‘discursive positions’ adopted by downsizing agents in our interviews. Our research material comprises 21 interviews in a large Finnish manufacturing company that underwent a downsizing process. We show how 12 downsizing agents navigated among different discursive positions while serving many conflicting interests. The rationalistic positions of Professional and Loyal target the shareholders, other business professionals, and the employer. The position of Empathic addresses subordinates, and the position of Critical is directed at top management and human resource professionals. We show how discursive positions are divided into rational and emotional spheres and examine the strong tensions between them. It appears that middle managers apply several often-contradictory discursive positions, struggle with satisfying conflicting expectations from top management and from their subordinates, and use several coping methods. MAD statement A common challenge for change managers is that they are brought in only after a downsizing decision has already been made. Sustainable change management requires ongoing preparation for change, regardless of whether downsizing or restructuring is imminent. This proactive approach helps all stakeholders to respond responsibly when an urgent situation arises. It also reduces the need for abrupt action and prevents reactive, high-speed learning that often accompanies such crises. We recommend that companies establish a cross-functional change team to develop long-term personnel reduction strategies. While constant change is often celebrated in management, we argue that many organizations would benefit from maintaining a reasonable degree of stability.

Strategic changes in talent development and leadership management in the funeral service industry in Hong Kong

PurposeThis paper identifies the strategic changes and explores the solutions for talent development and leadership management to address the challenges faced by the funeral service industry in Hong Kong.Design/methodology/approachIn this study, semi-structured, in-depth interviews were conducted with seven key personnel (funeral director, salesperson, coffin shop owner, and mortuary transporter) engaged in the funeral service industry in Hong Kong. Thematic coding was used to identify and organize emerging themes from the data.FindingsFour overarching themes were identified: (1) Perception of the funeral service industry in Hong Kong; (2) Recruitment, retention, and talent development; (3) Prospects of the funeral service industry in Hong Kong; and (4) Other novel challenges. The findings reveal continuous, radical, and complex challenges that may exceed the capacity of any leader to develop workable solutions.Originality/valueThe funeral service industry is facing radical challenges in modern times. A death-denying attitude is observed, which has severely undermined the study of the funeral service industry.

AI Tools in the Digital Transformation Programmes of Industrial Enterprises

This article is devoted to the study of the prospects for the development and implementation of AI in industry in the context of digital transformation. Autonomous factories, integrated supply chains, and autonomous vehicles is a real proof of technological advances that AI brings to life. The article highlights a number of problems and challenges for Russian industry based on the results of applied research conducted in November-December 2023 at 18 medium and large industrial enterprises. The main conclusions include not only the identified systemic problems and risks (shortcomings in digitalisation methodology, ambiguity in calculating economic parameters, lack of technical expertise), but also the most promising areas for the development of AI technologies. The study finds significant potential for enhancing the technologies of the Industry 3.0 and Industry 4.0 paradigms using AI tools. Also, it describe the necessary changes in enterprise management and regulatory government activities aimed at realising the identified potential. In conclusion, the article emphasises the need to optimise parallel imports, develop human capital and adequately analyse the economic parameters of industrial enterprises’ digital transformation project. The authors emphasise the relevance of studying the prospects for the development of AI in industry for Russian economic science in the period 2024–2026.