Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility

Sustainability, Год журнала: 2023, Номер 15(20), С. 15088 - 15088

Опубликована: Окт. 20, 2023

Supply chain agility has become a key success factor for businesses trying to handle upheavals and uncertainty in today’s quickly changing business environment. Proactive risk reduction is essential achieving this agility. To facilitate real-time prevention improve agility, research study proposes an innovative strategy that makes use of machine learning as well predictive analytics approaches. Traditional supply management frequently uses post-event analysis historical data, which restricts its ability address interruptions. This research, on the other hand, promotes futuristic methodology foresee possible disruptions. Based contextual models can be trained find patterns correlations anomalies point imminent dangers. Organizations identify risks they arise take preventative measures by incorporating these into monitoring system. examines numerous methods, showing how used spot risks. These methods include time series anomaly detection natural language processing. Additionally, assessment are continuously improved optimized using algorithms, assuring their accuracy adaptability contexts. clarifies symbiotic relationship among synthesis theoretical discourse practical evidence. Case studies from various sectors highlight usefulness advantages suggested strategy. The novel technique visibility quicker response times capacity modify operations. development holistic framework incorporates procedures, setting path identification mitigation, one contributions. On side, case offered paper show actual benefits proposed approach across wide range businesses.

Язык: Английский

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A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities

Environment Development and Sustainability, Год журнала: 2023, Номер 26(5), С. 11101 - 11143

Опубликована: Май 7, 2023

Язык: Английский

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The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review

Oeconomia Copernicana, Год журнала: 2023, Номер 14(3), С. 731 - 767

Опубликована: Сен. 30, 2023

Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose article: The objective this paper to develop a systematic review relevant literature identify effects change, especially adoption AI in organizations, on employees’ skills (professional dimension) well-being (personal dimension). Methods: To implement research scope, authors relied Khan's five-step methodology, which included PRISMA flowchart with embedded keywords for selecting appropriate quantitative data study. Firstly, 639 scientific papers published between March 2020 2023 (the end COVID-19 according WHO) from Scopus Web Science (WoS) databases were selected. After applying procedures techniques, 103 articles retained, focused dimension, while 35 component. Findings & value added: Evidence has been presented highlighting difficulties associated ongoing requirement upskilling or reskilling as an adaptive reaction changes. efforts counterbalance skill mismatch impacted employees' challenging times. Although emphasis digital widely accepted, our investigation shows topic still not properly developed. paper's most significant contributions found thorough analysis affects well-being, representative aspects researched academic due paradigm changes generated continuous disruptions.

Язык: Английский

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The Role of Public Policy in Fostering Technological Innovation and Sustainability

Journal of Contemporary Administration and Management (ADMAN), Год журнала: 2023, Номер 1(2), С. 47 - 53

Опубликована: Авг. 13, 2023

In this modern era, technological innovation has become one of the main keys in improving efficiency, productivity, and competitiveness a nation. On other hand, awareness importance environmental sustainability is increasing, given challenges such as climate change, natural resource depletion, negative impacts pollution. The purpose research to analyse role public policy promoting sustainability. current type qualitative. Data collection techniques include listening recording important information conduct data analysis through reduction, display, conclusion drawing. study results show that encouraging very achieving sustainable advanced future. right policies can create an enabling environment for innovation, stimulate development, empower human resources face rapid challenges.

Язык: Английский

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Unlocking the Future: Fostering Human–Machine Collaboration and Driving Intelligent Automation through Industry 5.0 in Smart Cities

Smart Cities, Год журнала: 2023, Номер 6(5), С. 2742 - 2782

Опубликована: Окт. 10, 2023

In the quest to meet escalating demands of citizens, future smart cities emerge as crucial entities. Their role becomes even more vital given current challenges posed by rapid urbanization and need for sustainable inclusive living spaces. At heart these are advancements in information communication technologies, with Industry 5.0 playing an increasingly significant role. This paper endeavors conduct exhaustive survey analyze including potential their implications cities. The crux is exploration technological across various domains that set shape urban environments. discussion spans diverse areas but not limited cyber–physical systems, fog computing, unmanned aerial vehicles, renewable energy, machine learning, deep cybersecurity, digital forensics. Additionally, sheds light on specific city context, illuminating its impact enabling advanced cybersecurity measures, fostering human–machine collaboration, driving intelligent automation services, refining data management decision making. also offers in-depth review existing frameworks shaping applications, evaluating how technologies could augment frameworks. particular, delves into face, bringing 5.0-enabled solutions fore.

Язык: Английский

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Artificial Intelligence and Knowledge Management: Impacts, Benefits, and Implementation

Computers, Год журнала: 2023, Номер 12(4), С. 72 - 72

Опубликована: Март 31, 2023

The process of generating, disseminating, using, and managing an organization’s information knowledge is known as management (KM). Conventional KM has undergone modifications throughout the years, but documentation always been its foundation. However, significant move to remote hybrid working highlighted shortcomings in current procedures. These gaps will be filled by artificial intelligence (AI), which also alter how transformed handled. This article analyzes studies from 2012 2022 that examined AI KM, with a particular emphasis on may support businesses their attempts successfully manage information. critical review examines approaches light literature currently accessible focusing articles address practical applications research background. Furthermore, this provides insight into potential future study directions improvements presenting evaluation.

Язык: Английский

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Determining factors related to artificial intelligence (AI) adoption among Malaysia's small and medium-sized businesses

Journal of Open Innovation Technology Market and Complexity, Год журнала: 2023, Номер 9(4), С. 100144 - 100144

Опубликована: Сен. 29, 2023

The purpose of the study is to examine relationship between Competitive Pressure (CP), Top Management Commitment (TMC), Employee Adaptability (EA), External Support (ES), Organisation Readiness (OR) and Artificial Intelligence Adoption (AIA) among SMES operating in Sabah, Malaysia. By employing judgemental sampling a total 196 respondents were involved (i.e. owners or managers) varied SME sectors such as services, manufacturing, construction, agriculture, mining & quarrying. A survey questionnaire was used for data collection analysed using Smart PLS 4. results revealed that top management commitment organisation readiness have significant with AI adoption. However, competitive pressure, employee adaptability, external support an insignificant impact on This suggests organizations may benefit from focusing enhancing TMC OR practices improve Al outcomes. Overall, these findings can guide decision-making resource allocation, emphasizing importance driving desired outcomes related highlighting areas where efforts not yield effects. Based present technological demands, practical implications future research directions are also highlighted.

Язык: Английский

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Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach

International Journal of Information Management, Год журнала: 2024, Номер 77, С. 102781 - 102781

Опубликована: Апрель 3, 2024

Artificial intelligence (AI) is playing a leading role in the digital transformation of enterprises, particularly manufacturing industry where it has been responsible for profound key business and production operations. Despite accelerated growth AI technologies, knowledge implementation by small medium-sized enterprises (SMEs) remains underexplored. Thus, this study seeks to examine how SMEs orchestrate resources implementation. Building on resource orchestration (RO) theory recent work implementation, we investigate multiple case studies involving Sweden operating packaging, plastic, metal sectors. Our findings indicate that structure portfolio based acquiring accumulating resources. are bundled into learning governance capabilities leverage configurations Through dynamic process orchestration, effectively mobilising coordinating processes, empowering skilled people. This research contributes existing practice academic literature highlighting drive an organisation's whilst creating competitive advantage.

Язык: Английский

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Current advancements in therapeutic approaches in orthopedic surgery: a review of recent trends

Frontiers in Bioengineering and Biotechnology, Год журнала: 2024, Номер 12

Опубликована: Фев. 9, 2024

Recent advancements in orthopedic surgery have greatly improved the management of musculoskeletal disorders and injuries. This review discusses latest therapeutic approaches that emerged orthopedics. We examine use regenerative medicine, including stem cell therapy platelet-rich plasma (PRP) injections, to accelerate healing promote tissue regeneration. Additionally, we explore application robotic-assisted surgery, which provides greater precision accuracy during surgical procedures. also delve into emergence personalized tailors treatments individual patients based on their unique genetic environmental factors. Furthermore, discuss telemedicine remote patient monitoring as methods for improving outcomes reducing healthcare costs. Finally, growing interest using artificial intelligence machine learning orthopedics, particularly diagnosis treatment planning. Overall, these significantly outcomes, reduced recovery times, enhanced overall quality care surgery.

Язык: Английский

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Evolving Access Control Paradigms: A Comprehensive Multi-Dimensional Analysis of Security Risks and System Assurance in Cyber Engineering

Asian Journal of Research in Computer Science, Год журнала: 2024, Номер 17(5), С. 108 - 124

Опубликована: Март 8, 2024

This study evaluates the effectiveness of traditional access control paradigms—Role-Based Access Control (RBAC), Policy-Based (PBAC), and Attribute-Based (ABAC)—against ransomware threats in critical infrastructures examines potential benefits integrating machine learning (ML) artificial intelligence (AI) technologies. Utilizing a quantitative research design, investigation collected data from 383 cybersecurity professionals across various sectors through systematically structured questionnaire. The questionnaire, which demonstrated excellent internal consistency with reliability score 0.81, featured Likert scale questions aimed at assessing perceptions experiences concerning efficacy different models combating ransomware. Employing multiple regression analysis, explored relationship between paradigms their capability to mitigate risks, while also considering impact awareness among employees. findings indicate that methods are less effective against dynamic nature attacks, primarily due static configurations. In contrast, integration ML AI into systems significantly enhances adaptability detecting preventing incidents. Additionally, highlights crucial role training employees fortifying cyber threats. adoption layered security strategy, incorporating advanced technological solutions comprehensive practices, was found markedly improve resilience attacks. Based on these insights, recommends embrace technologies systems, prioritization for all organizational members, implementation multifaceted approach better defend evolving threat These strategies essential safeguarding continuity services an increasingly digital interconnected world.

Язык: Английский

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