Technology Providers Research Articles

Artificial Intelligence-Powered Risk Assessment in Supply Chain Safety

The increasing complexity and globalization of supply chains necessitate robust risk management strategies to ensure safety and resilience. Traditional risk assessment methods often fall short in dynamically adapting to the rapidly changing conditions and voluminous data inherent in modern supply chains. This study explores the potential of Artificial Intelligence (AI)-powered risk assessment to address these limitations in the context of Malaysia's supply chain industry. By employing AI technologies such as machine learning, IoT, and predictive analytics, organizations can significantly enhance their risk management capabilities, improving predictive accuracy, real-time monitoring, and overall operational efficiency. Through a qualitative analysis involving in-depth interviews with supply chain managers, AI experts, and technology vendors, the study identifies the strategies employed for AI integration, the perceived effectiveness of these technologies, and the challenges faced in implementation. The findings highlight the importance of robust data governance, the development of explainable AI models, and continuous skill development to overcome barriers related to data quality, model interpretability, and high implementation costs. The study concludes with recommendations for fostering a safer and more resilient logistics environment in Malaysia, emphasizing the need for comprehensive AI adoption frameworks and scalable solutions for small and medium-sized enterprises.

From Classrooms to Confinement: Academic Challenges Faced by Secondary School Children in Kyamuhunga Sub-County During COVID-19

The COVID-19 pandemic has presented unprecedented challenges to students' academic performance worldwide. This study explores the effects of COVID-19 on the academic performance of secondary school children in Kyamuhunga Sub-County, Uganda, and proposes measures to mitigate these effects. The transition from traditional in-person classes to online learning disrupted education, exacerbating issues such as limited access to technology, internet connectivity, and the loss of face-to-face interaction. Additionally, increased stress and mental health issues further hindered academic performance. Various measures, including technology provision, adapted teaching methods, and mental health support, were implemented to address these challenges. These measures have shown potential in enhancing academic performance by promoting equal opportunities and fostering innovative learning approaches. Ultimately, the pandemic significantly impacted academic performance and overall well-being, necessitating continued efforts to support affected students.

Digital CRM in Nagpur's Primary and Secondary Schools: A Health Systems Approach to Enhancing Student Wellbeing in the Digital Transformation Era

Over the last couple of years, a significant increase in the use of educational technologies has changed the ways of student relationships and students’ well-being management. This study aims at establishing the extent and nature of utilization of Digital CRM system in primary and secondary schools in Nagpur from a health systems perspective, and the effects on students health. The research explores the effectiveness of the adopted digital CRM platforms to enhance more friendly, effective communication, and to create supportive mental and physical health student centred programs. The study utilizes survey questionnaires and short interviews with school administrators, teachers and students to determine the extent in which the digital CRM systems are effective and the difficulties encountered in the learning environment. Other relevant areas of interest include improvement in the services available to students, parents and strengthening of efficient mechanisms of collecting student health data for policy formulation. The details will describe the implication of the future digital CRM tools on the present issues related to the Nagpur students’ needs and the implications of health systems integration among schools. Based on this study it is suggested that digital CRM can greatly enhance the capacity of the school to support and respond to students’ needs through timely interventions, accessible collaboration communication, and a positive school climate. However, the program maintains several difficulties which have the potential to hinder valuable implementation: Data protection issue; Training of the system for the stakeholders; and Resource issues. Based on integrating the concepts of digital CRM with health systems the following recommendations for development of student’s wellbeing in the conceptual normal of digital transformation have been formulated by this research for the policymakers, educators, and technology suppliers.

Evolution of Tribotronics: From Fundamental Concepts to Potential Uses.

The intelligent sensing network is one of the key components in the construction of the Internet of Things, and the power supply technology of sensor communication nodes needs to be solved urgently. As a new field combining tribo-potential with semiconductor devices, tribotronics, based on the contact electrification (CE) effect, realizes direct interaction between the external environment and semiconductor devices by combining triboelectric nanogenerator (TENG) and field-effect transistor (FET), further expanding the application prospects of micro/nano energy. In this paper, the research progress of tribotronics is systematically reviewed. Firstly, the mechanism of the CE effect and the working principles of TENG are introduced. Secondly, the regulation theory of tribo-potential on carrier transportation in semiconductor devices and the research status of tribotronic transistors are summarized. Subsequently, the applications of tribotronics in logic circuits and memory devices, smart sensors, and artificial synapses in recent years are demonstrated. Finally, the challenges and development prospects of tribotronics in the future are projected.

Modelling scenarios for water supply and sanitation technologies in Jordan

The influx of refugees, population growth and current agricultural practices have led to an increase in water demand in Jordan, placing pressure on existing water provision. Climate change further exacerbates declining water availability. Against this backdrop, the techno-economic feasibility of four water supply and sanitation alternatives for small and medium scale cities in Jordan were explored, using local unit costs and Al-Mafraq as a case study. City level piped network combined with household rooftop rainwater harvesting and surface runoff collection into local ponds and piped networks with treatment using the nature-based solution of root-zone for sanitation were demonstrated to provide the highest benefits in terms of cost, convenience and water conservation. Our work highlights the need to invest in long-term urban infrastructure networks to promote sustainable future growth of cities. This is vital to address severe water scarcity challenges that ultimately impact those at the urban fringes most.

Opportunities and challenges in the development of artificial intelligence research in spinal surgery

Artificial intelligence has emerged as a game-changer in the field of spine surgery, offering transformative diagnostic and therapeutic approaches for spinal conditions. The application of AI in spine research encompasses a diverse range of diseases, with usage scenarios becoming increasingly widespread and technological integration going deeper. AI technology shows immense promise and value in the diagnosis of spinal diseases, the formulation of treatment strategies, surgical navigation, prognostic evaluation, and postoperative rehabilitation. Through deep learning and machine learning, AI can aid doctors in enhancing diagnostic accuracy, creating personalized treatment plans, and executing precise maneuvers during surgery, thus improving operational safety. Moreover, AI can provide intelligent support for patients' postoperative recovery, facilitating the restoration of their functions. However, current research is still in its nascent stage and confronts several challenges, such as the lack of standardized databases, the simplicity of algorithmic learning models, the inadequate fusion of multi-modal clinical information, and the limited clinical applicability. By developing open-source, standardized spine databases, incorporating innovative intelligent core algorithms, and establishing normalized screening, diagnostic, and predictive models for spinal conditions, we trust that we can drive the innovation and refinement of diagnostic and treatment technologies in spine surgery. This will realize an effective conjunction between technological provision and clinical demands, continuously elevating the intelligence level of spine surgery and offering safer, more effective medical services to a vast array of patients.

Construction 4.0 implementation for performance improvement: an innovation management perspective

Purpose The emergence of Construction 4.0 technologies provides an impetus for radical change and rejuvenates the interest of stakeholders in addressing long-standing performance issues in the construction sector. However, construction firms struggle to implement Construction 4.0 technologies for performance measurement and improvement. Therefore, the purpose of this research is to develop a conceptual model of innovation management for implementing Construction 4.0 that guides and facilitates the strategic transformation of construction firms. Design/methodology/approach A conceptual model of innovation management is presented, and the findings are synthesised based on a literature review, 20 semi-structured interviews, two focus group discussions, three workshops, expert consultation and observations on three digitally-enabled projects. Data were inductively analysed using thematic analysis. Findings The analysis of empirical data revealed: (i) Four scenarios that could lead the industry to different futures, based on the extent of research and development, and the extent of integration/collaboration; (ii) Construction 4.0 capability stages for a sustained implementation route; (iii) Possible business model configurations derived from servitisation strategies; and (iv) Skills management challenges for organisations. Research limitations/implications First, the empirical data was only collected in the UK with its unique industry context, which may limit the applicability of the results. Second, most of the research data comes from the private sector, without the views of public sector organisations. Third, the model needs to be further validated with specific data-driven use cases to address productivity and sustainability issues. Practical implications Successful Construction 4.0 transformation requires a concerted effort of stakeholders, including those in the supply chain, technology companies, innovation networks and government. Although a stakeholder’s action would depend on others’ actions, each stakeholder should undertake action that can influence the factors within their control (such as the extent of collaboration and investment) and the outcomes. Originality/value The conceptual model brings together and establishes the relationships between the scenarios, Construction 4.0 capability stages, business models and skills management. It provides the first step that guides the fuzzy front-end of Construction 4.0 implementation, underpins the transformation to the desired future and builds long-term innovation capabilities.

The impact of a crisis on the provision of assistive technology in Sweden: the case of COVID-19.

The entitlement to access assistive technology (AT) is fundamental for all individuals. However, challenges encountered during societal crises can significantly impact opportunities for participation and engagement among AT users. Understanding the implications of crises and disasters on AT provision along with their repercussions for end users is crucial. This research endeavors to investigate the experiences of managers overseeing AT provision during crises, using the first wave of the COVID-19 pandemic as a case study. An open-ended questionnaire was distributed to health care managers (n = 18) within AT organizations in Sweden. The responses were analyzed using qualitative content analysis, and four categories derived: Embracing change and navigating new realities, Optimizing strategies due to decreased and limiting prescriptions, Unlocking access and addressing challenges in AT provision, The impact on the staff and their well-being vs effectiveness in the AT organization. The findings indicate that AT organizations have demonstrated remarkable resilience and adaptability in the face of reduced consultations and growing care burden. Despite these challenges, managers have gained valuable insights into developing AT provision more efficiently and sustainably, particularly in digitization. The lessons learned will be critical in ensuring AT provision remains responsive to the needs of patients and society in the future.

Green knowledge management: a bibliometric analysis, research trends and future directions

Purpose Green knowledge management (GKM) has become a critical factor for modern organizations, offering a multifaceted approach to enhancing business operations while promoting environmental sustainability. The purpose of this paper is to review the literature and explore how GKM helps companies reduce their ecological footprint by digitalizing processes and minimizing physical storage needs, thus aligning with growing expectations for corporate environmental responsibility. The necessity for conducting a GKM review is underscored by the increasing recognition of sustainability, environmental performance and as a critical component of organizational corporate success in the contemporary business landscape. Design/methodology/approach This study conducted a bibliometric analysis of 994 papers related to GKM from 2005 until August 2024. Findings Over the 20 years of research on GKM, this bibliometric analysis drew the interlinked relationships between main theme of KM in the context of sustainable practices, processes, social and related theories. This study identifies green innovation, digital transformation, green and lean supply chains, leadership and technology tools. Future research can explore themes such as green and lean processes, barriers and enablers, role of leadership and ambidexterity in green supply chain integration using different theoretical lenses. Research limitations/implications Although the findings of this study are important to GKM research, there are a number of limitations to this investigation. The research database used exclusively was the Web of Science and Scopus, which contained the indexed papers. Future investigations may draw from various databases, such as EBSCO and Google Scholar. Additionally, the use of topic modelling and other artificial intelligence frameworks could enhance research analysis. Subsequently, research papers may expand their scope to encompass conference papers, books and book chapters, in addition to articles. Practical implications This review gives a holistic understanding of GKM practices across various sectors which not only enhances organizational performance but also contributes to broader environmental goals. This study offers an understanding on GKM on holistic approach that combines total quality management (TQM), absorptive capacity and collaborative frameworks to foster innovation and sustainability. Originality/value It is evident from the review that research in GKM is evolving gaining momentum. This review provides a comprehensive understanding of the GKM literature, from its earliest forms of basic concepts aligned with the sustainability and progressing more into the concepts of GKM adoption for green innovation by highlighting multiple theories, factors and gaps in the studies.

Agreement with “The ethical guidelines on the provision and practice of advanced reproductive technology and intrauterine insemination 2023” by the Philippine Society of Reproductive Medicine using online Delphi technique

The ethical guidelines of the National Society of Certified Fertility Specialists, the Philippine Society for Reproductive Medicine, were reviewed 5 years after its publication to determine if there was a change in the views of the current members. The 2016 guideline document was converted into 75 Delphi statements, and the level of agreement with each statement was determined after 3 rounds. One hundred twenty-six members of the national society were invited to participate. Voting was conducted using an online Google form or using a self-administered printed questionnaire. The level of agreement with each statement was measured using a 5-point Likert scale. A panel discussion of speakers in theology, law, and medical ethics, as well as stakeholders represented by an infertility patient and from the LGBTQ community, was held before the last Delphi round. The response rate for the first Delphi round was 94%, and the second and third rounds were at 98%. A consensus was achieved in 66 of the 75 Delphi statements. Statements on preimplantation genetic testing, posthumous reproduction, cryopreservation, and third-party reproduction failed to achieve consensus.

ANALYSING FACTORS INFLUENCING TECHNOLOGY ADOPTION BY UNORGANIZED RETAILERS USING UTAUT 2 FRAMEWORK

The swift progress of technology has greatly altered the worldwide retail environment, but its implementation among loosely organised retailers, especially in developing markets such as India, has not been thoroughly investigated. This paper examines the determinants of technology adoption among unorganised merchants in Kolkata using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) paradigm. The main objective of the study is to examine the influence of Perceived Value (PV) and Perceived Ease of Use (PEU) on the implementation of technology in this industry. The study employed a quantitative empirical approach, gathering data from 698 participants using standardised questionnaires. The data underwent analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM) and the Tukey HSD Post Hoc Test statistical tests. The results demonstrate that both perceived value (PV) and perceived ease of use (PEU) have a substantial impact on the adoption of technology. Specifically, higher-income groups tend to see more value and ease in utilising technology. The findings offer important perspectives for policymakers, technology suppliers, and retail groups to formulate focused approaches that promote the digitisation of unorganised retail, ultimately improving operational effectiveness and competitiveness. The present study enhances the overall comprehension of digital inclusion within the retail sector and its capacity to stimulate economic development.

Discovering the barriers to scaling a co-design approach for the provision of custom assistive technology within healthcare services

Introduction: Using computer-aided design and 3D printing within a co-design process to produce assistive technology (AT) has a positive impact in delivering customised solutions to end-users’ needs. However, to date its adoption within healthcare services has been limited. This work aims to gather clinicians’ insights to identify and analyse barriers inherent in the AT design, manufacturing, and provision processes and inform a detailed understanding of the current AT eco-system. It forms part of a long-term ambition to efficiently scale up a service for the co-design of custom AT across specialties and healthcare services. Methods: Five interactive workshops were run with 21 healthcare professionals currently involved in AT provision. Participants were recruited from two health boards in the UK. Thematic analysis was used to identify common barriers to scaling up a custom AT approach. Additionally, an eco-system map was created to determine the key stakeholders and their interactions. Results: Nineteen descriptive themes, grouped into four analytical themes, were identified related to the design of AT, access to AT, healthcare staffing and healthcare system pressures. The eco-system map identified sixteen individual stakeholders and ten different groups of significant corporate stakeholders. Discussion: The identified barriers relate to both the provision of off-the-shelf and the co-design of customised AT. Further promoting the scaling up of a co-design custom AT process requires: improving communication between stakeholders, enabling information about AT to be easily accessible, ensuring feedback is gathered and used, and creating tools that enable non-expert designers to modify custom AT designs safely and effectively.

Opportunities and challenges in new production systems for salmon farming in Norway—Industry perspective

The Norwegian salmon farming industry is characterized by an increasing technological diversity with new production systems emerging. The objective of this paper is to provide knowledge about challenges and opportunities with new production systems as perceived by industry representatives with hands-on experience. Interviews and workshops with fish farmers and suppliers illustrate that even though environmental issues concerning salmon lice, escapes, and diseases can be reduced, and in some cases solved, new challenges might arise. Semi-closed containment and land-based system concerns pertained to water quality and fish welfare, while exposed and offshore systems were more concerned about harsh conditions and their effects on fish, structures, and work operations. However, possibilities for beneficial new production strategies, the potential for a more stable production environment, and increased biosecurity are seen as important advantages. These findings provide valuable perspectives for industry, technology suppliers, and regulators moving forward.

A framework for modeling and simulating blockchain-based supply chain traceability systems

Traceability improves supply chain operations transparency, benefiting the overall performance and the end customer perception. Blockchain technology is a promising alternative to create robust traceability systems, as it promotes trust and supports information sharing based on data immutability. Despite the hype surrounding blockchain technology and the vast literature in the field, the effectiveness and efficiency of blockchain-based supply chain traceability systems remain uncertain across multiple industry sectors, due to the lack of empirical evidence. Considering its characteristics, simulation is a valuable tool to evaluate the performance of supply chain management processes and technology alternatives. However, a structured guide to support the building process of simulation models regarding blockchain in the supply chain is still missing, making it hard for modelers to create realistic simulation models. Thus, this work proposes a novel methodological framework with guidelines to develop HS models regarding supply chain traceability capable of integrating the main blockchain concepts for managerial purposes. Scenarios with different granularity levels may be designed through the combination of both discrete-event and agent-based simulation paradigms. The proposed approach integrates concepts and terminologies from foundational references, including the Supply Chain Operations Reference (SCOR) model and the Global Traceability Standard (GTS). In addition, it is anchored on the ADACOR holonic architecture for the agentification process. Following the Design Science Research methodology, a proof-of-concept application is presented, based on a real-scale industrial case of a lobster supply chain from Canada. Results obtained reflect the framework's versatility to assist the development of a hybrid simulation model, as traceability is explored through the perspectives of time to react, item separation, temporal screening, and blockchain participation rate.

A Review of Current Differencing Buffered Amplifiers: Performance Metrics and Technological Advances

Current Differencing Buffered Amplifiers (CDBAs) are a critical class of analog circuit components capable of handling both current and voltage signals with minimal power consumption. Due to their low impedance voltage output, they play a significant role in modern electronics for developing high-performance, high-precision analog and mixed-signal circuits. But, designing and characterizing CDBAs pose several challenges, such as ensuring stability at high frequencies, minimizing noise impact for high-precision applications, and enhancing adaptability. Integrating CDBAs with other analog components to create multifunctional integrated circuits opens many opportunities in the analog signal-processing domain. This paper reviews the evolution and applications of CDBAs in analog signal processing. Various implementation schemes, including those using commercial Current Feedback Amplifiers (CFAs) and novel CMOS configurations, are analyzed for their performance metrics such as supply voltage, power dissipation, input/output impedances, and technology node. Future trends and challenges in advancing CDBA technology towards higher integration and lower-voltage operation are discussed, highlighting potential applications in next-generation electronics.

Survivors of Modern Slavery and Their Digital Inclusion: A UK Qualitative Study from the Perspective of Survivors and Organizations That Support Them

ABSTRACT This paper considers how to better support the social inclusion of survivors of modern slavery using digital technologies. As such, it explores the under-researched views and experiences of survivors themselves and representatives of civil society organizations supporting them, in relation to how they access and use digital technologies in the UK. Semi-structured interviews were conducted with 11 survivors and 18 organization representatives, and the data collected was thematically analyzed. Key findings suggest that, to support survivors’ (re)integration, it is essential to provide them with access to technology and the digital skills to be safe and pursue opportunities online. However, while survivors value digital technologies to access support and undertake everyday activities, funding for the provision of such technologies is both limited and inconsistent. Meanwhile, in terms of digital skills and safety training, balance between individualized, tailor-made support and formal training is often lacking. Bridging research on survivors of modern slavery with broader digital inequalities work, this paper argues that digital access and digital literacy are crucial to survivors’ material and socio-cultural (re)integration in the UK. Recommendations are provided for research, practice, and policy aimed at facilitating the social and digital inclusion of survivors.

Smart grid management: Integrating hybrid intelligent algorithms for microgrid energy optimization

The increasing global demand for power drives the need for advancements in generation, control, and supply technologies. While bulk power generation remains cost-effective, it depends on transmission and distribution systems for delivery. Integrating distributed generators into the grid enhances reliability and direct power supply to consumers. Micro Grids (MGs) are a promising solution, offering smoother and more reliable operations. This study explores MGs, incorporating the latest loads and distributed generators to minimize operating costs for electrical power providers. This work utilizes intelligent algorithms, including the Firefly algorithm, Spider Monkey Optimization (SMO), and a hybrid approach combining both. The Firefly algorithm, inspired by swarm intelligence, mimics fireflies' light emission to optimize solutions. SMO, based on spider monkeys' social behavior, balances exploration and exploitation to achieve optimal results. A novel hybrid algorithm is developed to minimize MG operating costs by combining SMO's exploration with the Firefly algorithm's neighborhood optimization; enhancing navigation through the complex constraint solution space of MGs. Case studies on a modified IEEE 33-bus test feeder are conducted. The study compares three metaheuristic methods with non-convex solution spaces to MG operational algorithms. The results demonstrate the hybrid method's efficacy in determining the optimal location and size of real and reactive power support devices for MG operation. Numerical results show the hybrid algorithm's superiority over existing methods, reducing operating costs by 7.5 %, real power loss by 36.5 %, and reactive power loss by 1.7 %, and voltage deviation by 16.895. By considering MG constraints, the hybrid algorithm consistently delivers better outcomes, optimizing operating costs and ensuring efficient power supply. This study presents a novel MG optimization approach, enhancing future energy systems with improved solutions.

Special Issue: Key Technologies for Flexible and Efficient Power Supply in New Type Power Systems

Special Issue: Key Technologies for Flexible and Efficient Power Supply in New Type Power Systems

Design of pulse width modulation circuit based on PWM modulation

Abstract The key to the modulation technology of the switching power supply is to control the on-off of the power switch and realize the real-time adjustment of the duty cycle with the system through the control signal. In order to improve the realization accuracy of the control signal, a generation method different from the traditional pulse width modulation signal is proposed. The two edge signals are processed by the RS trigger to generate the pulse width modulation signal. The circuit is designed and simulated in SMIC 0.18 μm CMOS process. In the full feedback current range, the duty cycle of the pulse width modulation signal decreases linearly, which can effectively improve the conversion efficiency of the power supply.

Design of Business Ecosystem Mapping in the Black Soldier Fly Industry of Bandung City

BSF (Black Soldier Fly) maggot cultivation is an alternative organic waste management that is growing rapidly in the city of Bandung. This research aims to design a business ecosystem map for the BSF maggot cultivation industry in Bandung City. The method used is business ecosystem mapping with a qualitative approach modified by Zheng Ma. The research results show that the BSF maggot cultivation industry in Bandung City has six main groups of actors, namely maggot producers, maggot consumers, maggot raw material suppliers, maggot cultivation equipment and technology suppliers, government, and research institutions. Interactions between actors are driven by shared values, such as sustainability, circular economy and economic value. External factors that influence the development of the BSF maggot cultivation industry in Bandung City are government policy (politics), market trends (economics), public awareness (social) and technological progress (technology). Reconfiguration of the BSF maggot cultivation business ecosystem in Bandung City by incorporating elements of changes in external factors. The map of changes in the BSF maggot cultivation business ecosystem in the city of Bandung over the next 5 years includes: (1) increasing BSF maggot production to meet market demand, (2) developing new products and services based on BSF maggots, (3) increasing collaboration between actors, (4) strengthening human resource capacity, and (5) encouraging the development of environmentally friendly BSF maggot cultivation technology.