Leadership and Management in the Public Sector via E-Government and E-Governance in Public Administration Reform

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 253 - 268

Опубликована: Фев. 28, 2025

The integration of e-government and is recognized as a transformative tool public administration reform in the digital era. These methods utilize technology such artificial intelligence, blockchain, big data to increase transparency, accountability, inclusivity governance process. role leadership managerial approaches needed for successful implementation e-governance have been focus this chapter changed dynamics. Data also elaborates on these by pointing out that administrative simplification, citizen participation, sustainability are some main objectives. ecosystem transformations bring challenges like technological gaps, cybersecurity risks, change resistance, divide. identifies innovative strategies policy recommendations remove barriers. Also, highlights importance adaptive collaborative turning vision government into reality.

Язык: Английский

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Cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative artificial intelligence and cyber–physical manufacturing systems in the immersive industrial metaverse

Equilibrium Quarterly Journal of Economics and Economic Policy, Год журнала: 2024, Номер 19(3), С. 719 - 748

Опубликована: Сен. 27, 2024

Research background: Connected Internet of Robotic Things (IoRT) and cyber-physical process monitoring systems, industrial big data real-time event analytics, machine deep learning algorithms articulate digital twin smart factories in relation to learning-assisted planning, (IoT)-based production logistics, enterprise resource coordination. cooperative behaviors 3D assembly operations collaborative environments require ambient environment geospatial simulation tools, computer vision spatial mapping algorithms, generative artificial intelligence (AI) planning software. Flexible cloud computing necessitate sensing actuation capabilities, cognitive visualization sensor fusion image recognition technologies so as lead tangible business outcomes. Purpose the article: We show that AI cyber–physical manufacturing fog edge task scheduling are instrumental interactive economics metaverse. Generative AI-based metaverse develops on IoRT management multi-sensory extended reality modeling technologies, for data-driven decision-making processes. Virtual reinforcement autonomous virtual equipment learning-based object detection can be leveraged networked immersive processing. Methods: Evidence appraisal checklists citation software deployed justifying inclusion or exclusion reasons collection analysis comprise: Abstrackr, Colandr, Covidence, EPPI Reviewer, JBI-SUMARI, Rayyan, RobotReviewer, SR Accelerator, Systematic Review Toolbox. Findings & value added: Modal actuators sensors, robot trajectory computational systems enable scalable computation processes environments. Ambient remote cloud-based robotic cooperation improve IoT-based logistics multi-agent controls factories. Context acquisition shape path lines, collision-free motion coordinated unpredictable perception tasks, increasing economic performance. This collective writing cumulates debates upon most recent relevant literature twin-based Things, by use evidence

Язык: Английский

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Green servitization, circular economy, and sustainability a winning combination analysis through hybrid SEM‐ANN approach

Business Strategy and the Environment, Год журнала: 2024, Номер unknown

Опубликована: Сен. 12, 2024

Abstract To accomplish the 2030 Sustainable Development Goals (SDGs), manufacturing industry faces significant hurdles, particularly in embracing green servitization and circular economy ideas confronting dearth of research on for sustainability. fill this lacuna, study examines role promoting practices (CEPs) sustainability Malaysian firms. A robust framework has been forged based natural resource‐based view (NRBV) theory. Data from a survey 251 firms (Malaysian Japanese) were collected analyzed using hybrid methodology that included structural equation modeling artificial neural network (SEM‐ANN). The findings SEM highlight positively promotes CEP sustainable performance. Furthermore, mediating between ANN results indicate is dominant predictor dimensions. Unlike prior theoretically assumes all relationships are linear, nascent successfully validated there exists nonlinear relationship NRBV framework. Based outcomes, contributions, practical implications, future avenues have discussed.

Язык: Английский

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Unravelling human-centric tensions towards Industry 5.0: Literature review, resolution strategies and research agenda

Digital Business, Год журнала: 2024, Номер unknown, С. 100090 - 100090

Опубликована: Сен. 1, 2024

Язык: Английский

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Assessment and Insights into the Awareness and Readiness of Organizations to Implement the Assumptions of Industry 5.0: An Examination of Five Polish Sectors

Sustainability, Год журнала: 2025, Номер 17(3), С. 903 - 903

Опубликована: Янв. 23, 2025

The aim of this study is to assess the level awareness and readiness organizations implement assumptions Industry 5.0, as well identify benefits challenges associated with process. paper makes an original contribution by combining empirical analysis proposal a practical model, enabling better understanding technological social transformation process in Polish organizations. article presents model for implementing integrating technological, social, organizational aspects, offering comprehensive approach towards sustainable human-centered development. was conducted among 556 companies from five sectors: IT, automotive, industrial, service, banking/financial, using non-random sampling method data through techniques such association rules hierarchical clustering. research results indicate that most are familiar basics 5.0 concept (25% full knowledge, 66% partial knowledge), but only portion engaged (59%), which typically takes place gradually (53%). commonly reported benefit improved product service quality (73%), while frequently cited included need staff training (58%), ensuring network security (53%), modernizing infrastructure systems (52%). Benefits quality, increased production efficiency, cost optimization primarily recognized IT industrial sectors. At same time, modernize ensure security, implementation costs, remain significant barriers, particularly small- medium-sized enterprises. findings have significance they provide decision-makers guidance on effective planning actions related 5.0.

Язык: Английский

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What Are Industry 4.0 and Industry 5.0 All About? An Integrative Institutional Model for the New Industrial Paradigms

Administrative Sciences, Год журнала: 2025, Номер 15(4), С. 118 - 118

Опубликована: Март 22, 2025

Industry 4.0 (I4.0) and 5.0 (I5.0) represent important changes in industrial paradigms. I4.0 is centered on efficiency competitiveness, I5.0 adds sustainability, human-centricity, resilience to the framework. Despite their growing relevance, much of existing research remains techno-centric, neglecting sociocultural institutional forces shaping them. This study investigates how transition from occurring using an perspective. A qualitative methodology was employed, combining theoretical synthesis secondary data analysis develop integrative model. The proposed model draws insights Institutional Theory, Scandinavian Institutionalism, Management Fashion, Quintuple Helix, emphasizing role translation diffusion institutionalizing these We maintain that both them are fundamentally discursive, shaped by pressures, shared meanings, stakeholder interactions. already allows for a heterogeneous vision adjusted different perspectives stakeholders. goes further responding criticism about social environmental issues introducing resilience, especially after COVID-19 pandemic ongoing climate crisis. As result, aligns with broader range actors interests, increasing its potential widespread acceptance long-term impact. challenges deterministic views technology, arguing this new revolution not eminently technology-driven but instead emphasizes central discourse processes development.

Язык: Английский

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Industry 5.0 and Artificial Intelligence

Опубликована: Май 3, 2025

Язык: Английский

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Environmental, Social, and Governance (ESG) Reporting and Missing (M) Scores in the Industry 5.0 Era: Broadening Firms' and Investors' Decisions to Achieve Sustainable Development Goals

Sustainable Development, Год журнала: 2024, Номер unknown

Опубликована: Дек. 6, 2024

ABSTRACT Environmental, social, and governance (ESG) factors are gradually being utilized to assess organizations' long‐term success, drive capital, inform company decision‐making toward sustainable growth. Despite a few research investigations, studies on ESG still developing by using broader range of new technologies improve transparency; overcoming shortcomings that have arisen yet be examined. Industry 5.0 (I5.0) provides an effective paradigm for comprehending the significance technology in enhancing disclosure reporting. To handle critical shift wider development goals (SDGs) specifically, SDG 8 (Decent Work Economic Growth) 13 (Climate Action) within monitoring system, this digs into current reporting concerns obstacles. The study systematically reviews I5.0 literature. also carries out extensive content‐centric assessment relevant sources information mappings accomplish aims. findings reveal fundamental characteristics consistent with ESG, while may accommodate capabilities improving reliability, expanding from retrospective prospective real‐time reporting, customizing, broadening lowering costs, effectiveness. suggest must expand outside its company‐centric emphasis, altering existing accounting methods embrace requirements more appropriately. performance can improved clearer representation environmental social consequences, guiding both firms' investors' decisions (double materiality concept) towards SDGs. New or missing (M) scores revealed assist investors managers.

Язык: Английский

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Integration of Smart Grid with Industry 5.0: Applications, Challenges and Solutions

Deleted Journal, Год журнала: 2024, Номер unknown, С. 100031 - 100031

Опубликована: Дек. 1, 2024

Язык: Английский

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Ai-Enabled Sustainable Supply Chain in Industry 5.0: A Bibliometric Analysis

Опубликована: Янв. 1, 2025

This study aims to examine the comprehensive understanding of scientific contributions made in AI-enabled sustainable supply chain (SC) research within framework Industry 5.0, unravel its prevailing themes, and establish a future agenda. analysis incorporates 146 articles on this topic, published from 2014 2024 indexed Scopus database. A bibliometric approach was used systematically analyze these publications, incorporating performance science mapping techniques. The findings reveal that core themes SC 5.0 include management, advanced technology integration enhance manufacturing efficiency, digitalization-driven industrialization. Emerging address AI technologies processes, supporting industrial development conceptualization an paradigm. serves as critical resource for academics, scholars, industry practitioners exploring chains.

Язык: Английский

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