STUDY ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN MATERIAL MOVEMENT BASED ON SCIENTIFIC PUBLICATIONS

Revista Multidisciplinar do Nordeste Mineiro, Journal Year: 2025, Volume and Issue: 1(1), P. 1 - 13

Published: Jan. 15, 2025

Artificial intelligence is one of the information and communication technologies that has promoted major transformations in organizations their production processes, especially material handling. The growing number published studies led to development this study, which aimed describe main characteristics report application artificial method used was conceptual bibliographic, bibliometric design based on four stages: formulation research questions, collection bibliographic data, analysis, organization collected generation answers guiding questions. results showed focuses applications are a) improvement optimization logistics process, increased rationality human-machine actions, decision-making b) use several simultaneous methods techniques, c) facing problematic situations at problem-solving technologies, d) multiple tools, e) successful have competitiveness handling f) opening for new interconnected applications. conclusion shows using provided an environment enhancing human cognitive capacity. contribution study science finding professional training needs incorporate mastery intelligence.

Language: Английский

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Antecedents of international entrepreneurship and emerging technologies help to achieve sustainable development goals: Moderating role of global mindset

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 209, P. 123831 - 123831

Published: Oct. 17, 2024

Language: Английский

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The Impact of Industrial Internet Platform on Low-Carbon Innovation and Performance of Manufacturing Firms

Published: Jan. 1, 2025

Language: Английский

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Impact of digitalization on entrepreneurial ecosystems: a bibliometric exploration

Journal of Business and Industrial Marketing, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Purpose This study emphasizes digitalization in entrepreneurial ecosystems, fostering sustainability and redefining how businesses operate entrepreneurs innovate. aims to examine trends key contributions focusing on organizational cultures their influence. Design/methodology/approach Using the PRISMA framework, authors analyzed 500 articles from Web of Science (2010–2024) using VOSviewer. The methodology included tracking annual production, identifying prolific journals, analyzing countries, citing top hot topics ecosystems. Findings findings this highlight 2023 as peak year for article with Zhang being most productive author. Sustainability (Switzerland) Journal leads publications, China dominates “digital transformation” emerges a prominent keyword research Originality/value innovatively analyses digital technologies innovation transformed ecosystem, gaps business practices.

Language: Английский

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Wellness under pandemic: a study of family support and religious commitment as antidotes to psychological distress under social disconnectedness policy in Pakistan

Current Psychology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Language: Английский

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A Novel Approach to Achieve Sustainable Development: Analysis of Industry 4.0 Framework, State‐of‐the‐Art Technologies, and Sustainability Dimensions Based on Stakeholder Theory and Practices

Sustainable Development, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

ABSTRACT The research on big data analytics capabilities and innovative industrial technologies such as Industry 4.0 (I4.0) has grown to the extent where researchers are striving uncover nexus from distinct perspectives, worldwide. present study explores connection of state‐of‐the‐art (SAT) IoT along with I4.0 (e.g., environmental, managerial economics, supply chains, organizational, social capabilities) understand insights into how it elevates sustainable performance (SP) consideration three perspectives economic, perspective). results using SmartPLS structure equation techniques (SEM) asserted that positively affect SP organizations. empirical testing also affirmed positive between performance. This provides evidence regarding SAT may enhance corporate development in current competitive technological‐oriented era. multiple implications for related management theoretical existing literature development, analytics, technologies. Finally, enlists drawbacks future directions scholars.

Language: Английский

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Uncovering the influence of commitment to low-carbon operations management on manufacturing carbon performance

Journal of Manufacturing Technology Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 22, 2025

Purpose Based on social exchange and resource dependence theories, this research investigates how manufacturing firms’ commitment to low-carbon operations management (CLCOM) prompts carbon performance (MCP) through supply chain collaboration (SCC), as well the moderating role of risk (SCRM). Design/methodology/approach This study verifies hypotheses employing hierarchical regression analysis bootstrapping methods an online survey 297 Chinese manufacturers. Findings The results demonstrate that manufacturers’ SCC mediates influence affective continuance CLCOM MCP. SCRM dampens link between SCC. Further, heightens relationship CLCOM–low-carbon with suppliers, but does not enhance level customers. Originality/value contributes theory practice area by unveiling “black-box” CLCOM–MCP considers SCRM’s effect.

Language: Английский

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Sustainability Transformation Through Green Supply Chain Management Practices and Green Innovations in Pakistan’s Manufacturing and Service Industries

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2204 - 2204

Published: March 3, 2025

The increasing global emphasis on sustainability necessitates the integration of environmentally responsible practices within supply chains. This study explores impact green chain management (GSCMPs) firm sustainable performance in Pakistan’s manufacturing and service industries. Unlike prior research, which primarily focuses direct GSCMPs, this advances knowledge by incorporating technological innovation (GTI) managerial (GMI) as mediators organizational culture (GOC) a moderator. looks at survey data from 480 industry professionals uses partial least squares structural equation modeling (PLS-SEM) multi-group analysis (MGA). It discovers that GSCMPs greatly enhance outcomes, especially when innovations are used. Furthermore, is more pronounced sector, emphasizing role regulatory pressures advancements. makes significant contribution to literature integrating post-pandemic challenges, highlighting industry-specific dynamics, providing actionable strategies adoption emerging markets. provides applicable for managers policymakers embed deeper into corporate strategies, ensuring resilience competitive advantages evolving

Language: Английский

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New Perspectives on the Causes of Stagnation and Decline in the Sharing Economy: Application of the Hybrid Multi-Attribute Decision-Making Method

Mathematics, Journal Year: 2025, Volume and Issue: 13(7), P. 1051 - 1051

Published: March 24, 2025

Against the backdrop of global economic changes and rapid technological innovation, sharing economy model is gradually transforming operational mechanisms traditional industries. However, some industries have experienced stagnation recession during this transition, leading to market development constraints. The necessity study lies in filling gap existing literature by conducting an in-depth analysis critical factors contributing industrial economy. This aims provide concrete countermeasures for businesses policymakers. novelty research integrating multiple key variables affecting development, including green production concepts, circular economy, large-scale production, high-quality product demand driven automation, smart production. By employing multi-criterion decision-making methods, we quantitatively assess impact these more accurately. employs Multi-Attribute Decision-Making (MADM) model, Trial Evaluation Laboratory (DEMATEL) Analytic Network Process (ANP) form D&ANP analytical research. Highly automated are selected as subjects. DEMATEL technique used construct Influential Relationship Map (INRM), while ANP concept incorporated develop model. Through method, influential weights calculated combined with industry-specific assessments suitability potential causes (or attributes) determine average performance values each industry. These further compared benchmark distinguish ideal non-ideal conditions across facing recession. results indicate that different influenced varying factors, requiring strategic adjustments based on their unique environments. Accordingly, provides recommendations optimize business models resource allocation, mitigate risks recession, promote sustainable recovery. findings not only contribute empirical but also serve a reference businesses. offering insights, enterprises can better respond dynamics, enhance competitiveness, ensure long-term stable growth.

Language: Английский

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Evaluation of Sustainable Performance of Industry 4.0 Technologies Using a Novel Fuzzy OPLO‐POCOD Method

Applied Computational Intelligence and Soft Computing, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

In the rapidly evolving landscape of decision‐making, particularly amid complexities managing extensive data, it is crucial to develop methodologies that facilitate informed choices. This paper presents a novel technique designed address multicriteria decision‐making (MCDM) challenges through opportunity losses‐based polar coordinate distance (OPLO‐POCOD) method. By integrating principle losses—a fundamental concept in economics and management—into evaluation process, this approach enhances framework, providing clearer understanding trade‐offs involved selecting alternatives. The innovative methodology applied assess sustainability impact Industry 4.0 technologies within Iran’s automotive industry, sector facing unique such as need for technological adaptation. Utilizing fuzzy OPLO‐POCOD method, study analyzes various sustainable performance indicators, ultimately identifying simulation, blockchain, radio frequency identification critical enablers development. These exhibit remarkably low loss scores 0.0212, 0.0232, 0.0270, respectively, underscoring their pivotal roles enhancing energy resource efficiency production activities. research provides significant insights industry stakeholders policymakers, emphasizing importance advanced solutions into development strategies. aligning advancements with objectives, not only illuminates transformative potential but also paves way future inquiries essential field, offering strategic roadmap promoting practices beyond.

Language: Английский

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