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Статті в журналах з теми "Organizational capabilities, digital analytics, data-rich environments"

Автор: Grafiati

Опубліковано: 11 березня 2023

Оновлено: 31 липня 2025

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1

Miidom, Dumbor Frank, and Emeka Elumeze (Ph.D) Polycarp. "Digital Talent Capabilities and Organisational Proactivity: A Theoretical Perspective." International Journal of Advanced Academic Research 10, no. 6 (2024): 166–81. https://doi.org/10.5281/zenodo.12708085.

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<em>This study examines how digital talent capabilities, such as networking ability and digital analytical skills, enhance organizational proactivity in terms of opportunity identification and innovation. The study adopted the Technology Acceptance Model (TAM). As a theoretical study, it employed a literature review as its methodology. This involves summarizing and integrating findings from previous research. The study demonstrates that networking abilities facilitate opportunity identification and innovation. Digital analytical skills enhance opportunity identification and innovation. Togethe

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2

Atobishi, Thabit, Sahar Moh’d Abu Bakir, and Saeed Nosratabadi. "How Do Digital Capabilities Affect Organizational Performance in the Public Sector? The Mediating Role of the Organizational Agility." Administrative Sciences 14, no. 2 (2024): 37. http://dx.doi.org/10.3390/admsci14020037.

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As public sector agencies face rising imperatives to digitally transform citizen services, data systems, and internal operations, questions persist as to whether investments in big data analytics and automation capabilities, evidenced to drive organizational performance in private industry, translate to bureaucratic government contexts. This research quantitatively investigates the link between digital capabilities and organizational performance in the Jordanian ministry of Justice. Survey data collected from 292 public officials assessed capabilities in data-driven decision making, flexible a

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3

Darla, Mani Sai Kamal. "Data Analytics in Information Security: Enabling Intelligent Cyber Defense." International Journal of Computing and Engineering 7, no. 13 (2025): 11–22. https://doi.org/10.47941/ijce.2994.

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The digital metamorphosis period has unnaturally altered cybersecurity paradigms, challenging a shift from reactive defense mechanisms to visionary, intelligence-driven security fabrics. Contemporary trouble geographies encompass expanded attack shells through Internet of effects proliferation, pall relinquishment, and distributed pool models that challenge traditional border-grounded security infrastructures. Data analytics technologies, including Extended Discovery and Response systems, machine learning algorithms, Edge artificial intelligence, and Zero Trust Architecture executions, demonst

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4

Kiran Kumar Chitrada. "Architecting the Future: Intelligent Data Modeling for Scalable Enterprises." Journal of Computer Science and Technology Studies 7, no. 7 (2025): 591–98. https://doi.org/10.32996/jcsts.2025.7.7.66.

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Enterprise organizations face unprecedented challenges in managing data architectures that support rapidly evolving digital transformation initiatives, cloud-native deployments, and real-time analytics requirements. Traditional relational and dimensional modeling frameworks demonstrate significant limitations when confronted with distributed, heterogeneous data environments that characterize contemporary business operations. Intelligent data modeling emerges as a transformative paradigm that leverages machine learning algorithms, natural language processing capabilities, and graph-based semant

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5

Puppala, Aravind. "The Role of Digital Twins in AI-Driven Enterprise BI: Transforming Scenario Simulation and Strategic Planning." European Journal of Computer Science and Information Technology 13, no. 44 (2025): 96–103. https://doi.org/10.37745/ejcsit.2013/vol13n4496103.

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Digital twin technology represents a transformative paradigm in enterprise business intelligence systems, fundamentally altering how organizations approach strategic decision-making and scenario simulation. The integration of digital twins with artificial intelligence-driven business intelligence platforms creates sophisticated virtual replicas that maintain bidirectional data flow between physical operations and digital representations, enabling real-time monitoring and predictive capabilities across diverse organizational contexts. Contemporary implementations demonstrate the evolution from

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6

Nguyen, Thanh-Nhat-Lai, and Son-Tung Le. "Factors Leading to the Digital Transformation Dead Zone in Shipping SMEs: A Dynamic Capability Theory Perspective." Sustainability 17, no. 12 (2025): 5553. https://doi.org/10.3390/su17125553.

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Digital transformation (DT) has become a crucial driver of competitiveness in the shipping industry. However, many small- and medium-sized enterprises (SMEs) encounter barriers that result in digital transformation dead zones (DTDZs), where digital initiatives stagnate or fail to achieve the expected outcomes. This study investigates the key factors contributing to digital stagnation specifically within Vietnamese shipping SMEs, adopting the lens of the dynamic capabilities theory (DCT)—a framework that emphasizes firms’ abilities to sense opportunities, seize them, and reconfigure resources t

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7

Rahman, Koushikur, Md Rafiqul Alam, Redoyan Chowdhury, and Sadiqur Rahman Chowdhury Urbi. "The Evolution of Business Analytics: Frameworks, Tools, and Real-World Impact on Strategic Decision-Making in the Digital Age." Pathfinder of Research 2, no. 2 (2024): 37–58. https://doi.org/10.69937/pf.por.2.2.30.

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In the digital age, as data is increasingly recognized as a strategic asset, business analytics (BA) has become a critical factor in organizational decision-making. From common decision support systems to advanced concentrated analytics platforms and AI used in modern business environments, this review provides an inspection of business analytics development. The integration of cloud computing and machine learning (ML) is one of the main topics tested in this article, emphasizing how these technologies change their business strategy. The review also examines the number of methods and tools cre

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8

Yaman Tandon. "AI-powered data products: The key to unlocking business value from enterprise data." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 4244–52. https://doi.org/10.30574/wjarr.2025.26.2.2083.

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The digital transformation landscape continues evolving rapidly as enterprises shift toward cloud infrastructure and AI-driven solutions, necessitating fundamental changes in data management approaches. Traditional methods characterized by centralized warehouses, static reporting, and periodic analytics no longer meet the demands for real-time insights and automated decision-making capabilities essential in contemporary business environments. AI-powered data products represent a transformative evolution in enterprise data strategy, encapsulating analytics and intelligence within self-contained

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9

Bikkasani, Dileesh Chandra. "Network Resiliency and Fault Tolerance through Digital Twins and Data Science." American Journal of Data, Information and Knowledge Management 6, no. 1 (2025): 1–14. https://doi.org/10.47672/ajdikm.2682.

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Purpose: As telecom networks evolve with the integration of 5G, 6G, and IoT technologies, their increasing complexity presents significant challenges to maintaining network stability. Traditional management methods are no longer sufficient to ensure the resiliency required in these dynamic environments. Materials and Methods: To address this, we explore the application of digital twin technology as a transformative solution for network operations. Digital twins enable real-time monitoring, predictive analytics, and scenario simulation by creating a dynamic, virtual representation of the teleco

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10

Sannapureddy, Ramadevi. "AI-Driven Cloud Integration for Next-Generation Enterprise Systems: A Comprehensive Analysis." European Journal of Computer Science and Information Technology 13, no. 34 (2025): 13–24. https://doi.org/10.37745/ejcsit.2013/vol13n341324.

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The convergence of artificial intelligence and cloud computing represents a transformative paradigm in enterprise architecture, creating unprecedented opportunities for operational excellence and competitive differentiation. This comprehensive examination of AI-driven cloud integration explores the multifaceted impact across key domains of enterprise computing. The integration of reinforcement learning into cloud orchestration delivers substantial infrastructure cost reductions while simultaneously enhancing performance metrics and environmental sustainability. In security frameworks, unsuperv

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11

Prudhvi Raj Atluri. "Smart Factories in the Cloud: How Real-Time Data Pipelines Are Powering IoT-Driven Manufacturing." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 417–30. https://doi.org/10.32996/jcsts.2025.7.5.52.

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The convergence of Industry 4.0 technologies is revolutionizing manufacturing through cloud-based data pipelines that seamlessly integrate IoT devices with advanced analytics platforms. Smart factories leverage interconnected sensor networks, edge computing, and machine learning to create data-driven ecosystems that enhance operational efficiency. These digital transformations establish real-time visibility across production processes while enabling predictive capabilities that anticipate equipment failures, quality issues, and production bottlenecks before they impact operations. Cloud platfo

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12

Goyal, Pushap. "The Dual Nature of Databases: Privacy Protection and Surveillance Enablement in the Digital Age." European Journal of Computer Science and Information Technology 13, no. 39 (2025): 186–201. https://doi.org/10.37745/ejcsit.2013/vol13n39186201.

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This article examines the dichotomous nature of database technologies in contemporary digital environments, focusing on their dual role as both protectors and potential violators of privacy. Database systems represent a profound paradox – the same architectural features designed to secure information through structured access controls simultaneously enable comprehensive data aggregation and surveillance capabilities. The article navigates this tension by first establishing how modern database implementations serve as essential components of privacy compliance frameworks, implementing granular

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13

Dr.A.Shaji, George, and Dr.T.Baskar. "Driving Business Transformation Through Technology Innovation: Emerging Priorities for IT Leaders." Partners Universal Innovative Research Publication (PUIRP) 02, no. 04 (2024): 1–14. https://doi.org/10.5281/zenodo.13286732.

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As the digital economy continues its exponential growth, emerging innovations in areas like cloud computing, data analytics, AI, and edge devices are fundamentally transforming how businesses operate and deliver value. IT leaders find themselves at the epicenter of enabling large-scale business transformation, tasked with rapidly adopting new technologies while optimizing complex legacy environments. Although daunting, this period of disruption offers immense opportunities for forward-thinking CIOs to evolve their organizations into strategic drivers of innovation, growth, and competitive diff

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14

Telegescu, Tiberiu. "IT in the workspace – The need for digital transformation." Proceedings of the International Conference on Business Excellence 12, no. 1 (2018): 952–65. http://dx.doi.org/10.2478/picbe-2018-0085.

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Abstract We live today in a world irreversibly and comprehensively impacted by the digital economy, either by its ability to transform traditional markets into digital ones or by creating new ones altogether. In such a digitized environment, agility, speed, adaptability and innovation through disruption are key attributes for organizations to maximize, in order to enable their workforce to be effective and efficient and achieve the organizational goals. The paper aims to outline that organizations have, as part of their digital transformation journey, opportunities to embrace the benefits that

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15

Zueva, Olga. "Sustainable Corporate Banking Strategies and Emerging Market Opportunities: Advancing the U.S. Financial Sector through Innovation and Global Partnerships." American Journal of Management and Economics Innovations 07, no. 05 (2025): 39–44. https://doi.org/10.37547/tajmei/volume07issue05-04.

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Sustainable corporate banking strategies are increasingly recognized as pivotal to enhancing U.S. financial institutions’ competitiveness and long-term growth. This paper investigates how organizational agility, operational efficiency, and innovation adoption reinforce banks’ resilience within volatile global environments. By synthesizing insights from recent empirical findings and case studies, we illustrate how cutting-edge technologies such as Artificial Intelligence (AI), Robotic Process Automation (RPA), and big-data analytics streamline complex corporate banking processes and bolster str

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16

Einas Azher, Sadia Javed, Hafiz Muhammad Ahmed Siddiqui, Farrukh Zafar, and Osama Ahmed. "Exploring the Impact of Digital Supply Chain Integration on the Firm’s Performance with Mediation and Moderation Role of Knowledge Sharing and Environmental Turbulence." Social Science Review Archives 3, no. 1 (2025): 567–81. https://doi.org/10.70670/sra.v3i1.341.

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The Industrial 4.0 IoT, AI, blockchain and big data analytics led supply chain digitalization revolutionized the operational efficiency, decision-making and OP (operational performance) in the supply chain. This research explores the effect of DSCI on OP, which utilizes knowledge sharing as a mediator and environmental turbulence (ET) as a moderator. In a study comprising 300 supply chain executives across the industries, the researchers leverage Smart PLS’s SEM for testing their predictions. These results suggest that DSCI increases OP and knowledge sharing mediates the effect. Additionally,

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17

Faiq, Ali Khan, and Shankar Subramanian Iyer Dr. "The Role of Digital Twin Technology in Enhancing Supply Chain Resilience and Predictive Risk Management." RA JOURNALS OF APPLIED RESAERCH 11, no. 04 (2025): 266–77. https://doi.org/10.5281/zenodo.15195439.

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ABSTRACT:The increasing complexity and vulnerability of global supply chains have amplified the need for technologies that enable agility, foresight, and resilience. Amid ongoing disruptions driven by pandemics, geopolitical uncertainty, and climate events, Digital Twin Technology (DTT) has emerged as a transformative solution. While extensively explored in the engineering and manufacturing sectors, its application in supply chain management—particularly its influence on resilience, predictive risk management, operational efficiency, and visibility—remains under-researched. This st

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18

G.S, Hari Priya, Janani P.R, and J. Nagavardhan Reddy. "Exploring AWS S3: In-Depth Analysis of Bucket Management." Journal of Sensor and Cloud Computing 1, no. 2 (2024): 1–5. http://dx.doi.org/10.46610/joscc.2024.v01i02.001.

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Amazon Simple Storage Service (S3) is a cornerstone in modern data management strategies with in Amazon Web Services (AWS). It is pivotal in providing scalable, durable, and accessible object storage infrastructure. A key advantage of S3 is its scalability, enabling seamless storage capacity expansion without upfront investments or provisioning delays. This flexibility empowers organizations to accommodate dynamic data growth while maintaining operational agility, which is crucial in today's rapidly evolving digital landscape. S3's exceptional durability, boasting an impressive 99.999999999% r

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19

Giridhar Raj Singh Chowhan. "The role of AI-powered CRM in personalized healthcare and patient engagement." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 168–77. https://doi.org/10.30574/wjarr.2025.26.2.1574.

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This article examines the transformative impact of artificial intelligence-powered Customer Relationship Management (CRM) systems on healthcare delivery and patient engagement. As the healthcare sector undergoes digital transformation, AI-enhanced CRM platforms have evolved from basic administrative tools into sophisticated systems that enable personalized care and proactive health management. The integration of machine learning algorithms, natural language processing, and predictive analytics has revolutionized patient profiling, risk assessment, and care management. These systems excel at ag

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20

Oluwatosin Ilori, Nelly Tochi Nwosu, and Henry Nwapali Ndidi Naiho. "Advanced data analytics in internal audits: A conceptual framework for comprehensive risk assessment and fraud detection." Finance & Accounting Research Journal 6, no. 6 (2024): 931–52. http://dx.doi.org/10.51594/farj.v6i6.1213.

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In the face of increasing complexity and rapid technological advancements, traditional internal audit methods are becoming inadequate for comprehensive risk assessment and effective fraud detection. Advanced data analytics offers a transformative approach that enhances the effectiveness of internal audits. This concept paper presents a framework for integrating advanced data analytics into internal audit processes, aiming to provide more robust risk management and improved fraud detection capabilities. Integrate diverse data sources, including financial, operational, and external data, to prov

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21

Shankar Miraji and Sanjay Lote. "Industrial Internet of Things (IIoT): A comprehensive research overview." World Journal of Advanced Research and Reviews 2, no. 3 (2019): 054–66. https://doi.org/10.30574/wjarr.2019.2.3.0137.

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This paper provides a comprehensive analysis of the Industrial Internet of Things (IIoT), a transformative paradigm revolutionizing industrial operations through interconnected digital ecosystems. The research examines IIoT's multifaceted dimensions: its foundational technologies (sensor networks, communication protocols, edge computing, and AI-driven analytics), architectural frameworks and implementation methodologies that guide deployment, significant security and privacy considerations in increasingly connected industrial environments, and the profound economic implications reshaping busin

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22

Lazaroiu, George, Tom Gedeon, Elżbieta Rogalska, et al. "Digital twin-based cyber-physical manufacturing systems, extended reality metaverse enterprise and production management algorithms, and Internet of Things financial and labor market technologies in generative artificial intelligence economics." Oeconomia Copernicana 15, no. 3 (2024): 837–70. http://dx.doi.org/10.24136/oc.3183.

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Research background: Generative artificial intelligence (AI) and machine learning algorithms support industrial Internet of Things (IoT)-based big data and enterprise asset management in multiphysics simulation environments by industrial big data processing, modeling, and monitoring, enabling business organizational and managerial practices. Machine learning-based decision support and edge generative AI sensing systems can reduce persistent labor shortages and job vacancies and power productivity growth and labor market dynamics, shaping career pathways and facilitating occupational transition

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23

Uddoh, Jeanette, Daniel Ajiga, Babawale Patrick Okare, and Tope David Aduloju. "AI-Based Threat Detection Systems for Cloud Infrastructure: Architecture, Challenges, and Opportunities." Journal of Frontiers in Multidisciplinary Research 2, no. 2 (2021): 61–67. https://doi.org/10.54660/.ijfmr.2021.2.2.61-67.

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The rapid adoption of cloud infrastructure has transformed organizational operations, offered scalability and flexibility but also exposed enterprises to sophisticated cyber threats, such as data breaches, ransomware, and insider attacks. AI-based threat detection systems have emerged as a critical solution, leveraging machine learning, deep learning, and behavioral analytics to identify and mitigate threats in real time. This paper proposes novel architecture for AI-based threat detection in cloud infrastructure, addressing the unique challenges of dynamic, distributed environments. Through a

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24

Chinazor Prisca Amajuoyi, Luther Kington Nwobodo, and Mayokun Daniel Adegbola. "Transforming business scalability and operational flexibility with advanced cloud computing technologies." Computer Science & IT Research Journal 5, no. 6 (2024): 1469–87. http://dx.doi.org/10.51594/csitrj.v5i6.1248.

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In the rapidly evolving landscape of digital transformation, cloud computing has emerged as a pivotal technology enabling businesses to achieve unparalleled scalability and operational flexibility. This review explores the transformative impact of advanced cloud computing technologies on business operations, highlighting key innovations and their implications for organizational growth and efficiency. Cloud computing offers a dynamic and scalable environment where resources can be provisioned and managed on-demand, allowing businesses to respond swiftly to changing market conditions and custome

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25

Philip Olaseni Shoetan, Olukunle Oladipupo Amoo, Enyinaya Stefano Okafor, and Oluwabukunmi Latifat Olorunfemi. "SYNTHESIZING AI'S IMPACT ON CYBERSECURITY IN TELECOMMUNICATIONS: A CONCEPTUAL FRAMEWORK." Computer Science & IT Research Journal 5, no. 3 (2024): 594–605. http://dx.doi.org/10.51594/csitrj.v5i3.908.

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As the telecommunications sector increasingly relies on interconnected digital infrastructure, the proliferation of cyber threats poses significant challenges to security and operational integrity. This review presents a conceptual framework for understanding and harnessing the potential of artificial intelligence (AI) in fortifying cybersecurity within the telecommunications industry. The framework integrates the transformative capabilities of AI with the unique demands of cybersecurity in telecommunications, aiming to enhance threat detection, mitigation, and response strategies. It encompas

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26

Pandey, Brij Kishore. "AI-Based Automation Frameworks for IT Operations in a Digitally Transformed Environment." Distributed Learning and Broad Applications in Scientific Research (DLBASR) 2023, no. 9 (2023): 490–510. https://doi.org/10.5281/zenodo.14742207.

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The evolution of digitally transformed enterprises has necessitated a paradigm shift in IT operations (ITOps), driven by the demand for enhanced efficiency, agility, and resilience. This paper proposes AI-based automation frameworks tailored for modern ITOps, focusing on optimizing workflows, detecting anomalies, and strengthening operational resilience. Traditional approaches to ITOps have often relied on rule-based systems and manual interventions, which are increasingly insufficient in handling the complexities of digital environments characterized by distributed infrastructures, heterogene

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27

Stronen, Fred, Karl Breunig, Ross Ellefsen, and Tor Arne Vikingstad. "Digitalization of Knowledge Development in the Media Industry." European Conference on Knowledge Management 23, no. 2 (2022): 1158–64. http://dx.doi.org/10.34190/eckm.23.2.817.

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Disruption in the global media and publishing industry is prevalent due to digitalization and new business models. The Scandinavian media market have already for a decade experienced disruptive technology and digital changes. The old highly profitable two-sided business model of both selling newspapers and adds has evaporated. Remaining is a freemium or even worse – a free content and a small margin from selling online advertisements. To compensate for revenue reduction the media organizations digitalize, and consequently have made a lot of media workers redundant. To create competitive advant

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28

Kiran, Faiqa, Ahsan Zubair, Irum Shahzadi, and Aamir Abbas. "Internet-based digitalmarketing strategies fordata-rich environments." Bottom Line 31, no. 2 (2018): 98–113. http://dx.doi.org/10.1108/bl-03-2018-0012.

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Purpose The purpose of this paper is to first bring to light the essential digital strategies to study organizations. Second, how businesses can improve their strategic capabilities by using the information gathered from internet sources or networks. Third, this study investigates how employees in an organization tend to engage in positive and/or negative gossip and how gossips affect coworker-rated informal influence in organization and supervisor-rated performance. Social network analysis is used to find the underlying relationships between gossips, coworker-rated influence and supervisor-ra

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29

Martin, Caitlin K., Denise Nacu, and Nichole Pinkard. "Revealing Opportunities for 21st Century Learning: An Approach to Interpreting User Trace Log Data." Journal of Learning Analytics 3, no. 2 (2016): 37–87. http://dx.doi.org/10.18608/jla.2016.32.4.

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Online environments can cultivate what have been referred to as 21st century skills and capabilities, as youth contribute, pursue, share, and interact around work and ideas. Such environments also hold great potential for addressing digital divides related to the development of such skills by connecting youth in areas with fewer resources and opportunities to social and material supports for learning. However, even with increasing attention to the importance of 21st century skills, there is still relatively little known about how to measure these sorts of competencies effectively. In this pape

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May, Eyeregba Equitozia, Eboesomi Esther Bunmi, David Oyewumi Oyekunle, Williams Ogochukwu Ugbomeh, and Ugochukwu Okwudili Matthew. "Digital Marketing Adoption in SMEs: A Technology-Organization-Environment (TOE)-Based Assessment of Business Growth and Competitiveness." Recent Research Reviews Journal 4, no. 1 (2025): 50–71. https://doi.org/10.36548/rrrj.2025.1.004.

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Adopting digital marketing approaches has emerged as a key factor in Small and medium-sized enterprises (SMEs) competitive advantage and business success. The Technology-Organization-Environment (TOE) framework is used in this study to evaluate the variables affecting SMEs' digital transformation. The degree and efficacy of digital marketing adoption are influenced by organizational competencies, technological preparedness, and external market dynamics. Results show that SMEs that use new digital technologies, like automation and AI-driven analytics, see an increase in customer engagement and

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Feroz, Abdul Karim, Hangjung Zo, and Ananth Chiravuri. "Digital Transformation and Environmental Sustainability: A Review and Research Agenda." Sustainability 13, no. 3 (2021): 1530. http://dx.doi.org/10.3390/su13031530.

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Digital transformation refers to the unprecedented disruptions in society, industry, and organizations stimulated by advances in digital technologies such as artificial intelligence, big data analytics, cloud computing, and the Internet of Things (IoT). Presently, there is a lack of studies to map digital transformation in the environmental sustainability domain. This paper identifies the disruptions driven by digital transformation in the environmental sustainability domain through a systematic literature review. The results present a framework that outlines the transformations in four key ar

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Stupniker, Hanna, Tetiana Radkevich, and Nataliia Zozulia. "PECULIARITIES OF IMPLEMENTING AN INFORMATION SYSTEM AS AN ANALYTICAL BASIS FOR ENTERPRISE MANAGEMENT." Economic scope, no. 201 (June 10, 2025): 253–58. https://doi.org/10.30838/ep.201.253-258.

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Modern business environments demand the establishment of robust systems for managing, processing, and continuously updating operational and strategic data. Enterprise Resource Planning (ERP) systems have become an integral part of both international and domestic business infrastructures due to their ability to integrate various functions across an organization into a single unified system. The widespread adoption of ERP solutions is driven by their capacity to streamline information flows, standardize data, and enhance the accuracy and timeliness of managerial reporting, thus supporting data-d

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Kruszyńska-Fischbach, Agnieszka, Sylwia Sysko-Romańczuk, Tomasz M. Napiórkowski, Anna Napiórkowska, and Dariusz Kozakiewicz. "Organizational e-Health Readiness: How to Prepare the Primary Healthcare Providers’ Services for Digital Transformation." International Journal of Environmental Research and Public Health 19, no. 7 (2022): 3973. http://dx.doi.org/10.3390/ijerph19073973.

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The COVID-19 pandemic has had two main consequences for the organization of treatment in primary healthcare: restricted patients’ access to medical facilities and limited social mobility. In turn, these consequences pose a great challenge for patients and healthcare providers, i.e., the limited personal contact with medical professionals. This can be eased by new digital technology. While providing solutions to many problems, this technology poses several organizational challenges for healthcare system participants. As the current global situation and the outbreak of the humanitarian crisis in

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Dreichuk, Mykhailo, and Yosyf Sytnyk. "SOCIO-ECONOMIC ASSESSMENT OF HUMAN RESOURCE MANAGEMENT EFFECTIVENESS UNDER UNCERTAINTY." Three Seas Economic Journal 6, no. 2 (2025): 40–45. https://doi.org/10.30525/2661-5150/2025-2-7.

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The purpose of this paper is to develop a comprehensive conceptual framework for assessing the effectiveness of human resource management (HRM) under conditions of uncertainty. The study focuses on integrating socio-economic indicators into a structured evaluation model that reflects not only financial results but also social outcomes such as employee well-being, engagement, and adaptability. By addressing the limitations of traditional HRM evaluation methods, which often prioritize efficiency and cost control, the article proposes a more balanced and resilient approach suited for volatile env

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-, Naveen Reddy Singi Reddy. "Unified Data Ecosystems: A Framework for Enterprise-Wide Integration and Analytics Transformation." International Journal on Science and Technology 16, no. 2 (2025). https://doi.org/10.71097/ijsat.v16.i2.3348.

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This article presents a comprehensive examination of unified data ecosystems as a strategic approach to overcoming the challenges of fragmented data environments in modern enterprises. It explores the evolution of data architecture paradigms and outlines the core components necessary for successful integration, including ingestion frameworks, storage paradigms, and processing engines. The article investigates methodologies for seamless data integration, with particular emphasis on ETL/ELT pipelines, real-time API integrations, and master data management approaches. Additionally, the article ad

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Ciacci, Andrea, and Lara Penco. "Business model innovation: harnessing big data analytics and digital transformation in hostile environments." Journal of Small Business and Enterprise Development, October 9, 2023. http://dx.doi.org/10.1108/jsbed-10-2022-0424.

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PurposeThe literature mainly concentrates on the relationships between externally oriented digital transformation (ExtDT), big data analytics capability (BDAC) and business model innovation (BMI) from an intra-organizational perspective. However, it is acknowledged that the external environment shapes the firm's strategy and affects innovation outcomes. Embracing an external environment perspective, the authors aim to fill this gap. The authors develop and test a moderated mediation model linking ExtDT to BMI. Drawing on the dynamic capabilities view, the authors' model posits that the effect

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-, Mohanraj Varatharaj. "Enterprise Data-Driven Decision Making: A Framework for Digital Transformation and Organizational Excellence." International Journal For Multidisciplinary Research 6, no. 6 (2024). https://doi.org/10.36948/ijfmr.2024.v06i06.34279.

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This article examines the transformative impact of Data-Driven Decision Making (DDDM) on enterprise systems, focusing on its implementation, challenges, and organizational implications. The article explores how organizations leverage advanced analytics, machine learning, and artificial intelligence to enhance operational efficiency and strategic planning through systematic data utilization. This article presents a comprehensive framework for successful DDDM implementation in enterprise environments by analyzing the transition from traditional decision-making approaches to data-driven methodolo

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Hoyos-Vallejo, Carlos Arturo. "Navigating Uncertainty: Agility, Data, and Sustainability as Drivers of Business Resilience." EVOLUTIONARY STUDIES IN IMAGINATIVE CULTURE, October 11, 2024, 1924–42. https://doi.org/10.70082/esiculture.vi.1741.

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This study examines how businesses manage uncertainty through a combination of emerging technologies, organizational agility, and sustainability practices. Using an integrative literature review and case studies across global regions, the research identifies strategies that enhance decision-making and resilience in volatile environments. The study draws on Dynamic Capabilities Theory and Organisational Information Processing Theory to analyze how companies leverage Big Data, Artificial Intelligence (AI), and Blockchain to navigate uncertainty while ensuring ethical standards. Key findings sugg

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Khan, Faiq Ali, and Dr Shankar Subramanian Iyer. "The Role of Digital Twin Technology in Enhancing Supply Chain Resilience and Predictive Risk Management." RA JOURNAL OF APPLIED RESEARCH 11, no. 04 (2025). https://doi.org/10.47191/rajar/v11i4.04.

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The increasing complexity and vulnerability of global supply chains have amplified the need for technologies that enable agility, foresight, and resilience. Amid ongoing disruptions driven by pandemics, geopolitical uncertainty, and climate events, Digital Twin Technology (DTT) has emerged as a transformative solution. While extensively explored in the engineering and manufacturing sectors, its application in supply chain management—particularly its influence on resilience, predictive risk management, operational efficiency, and visibility—remains under-researched. This study addresses this ga

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Seker, Sukran, and Nezir Aydin. "Analyzing barriers and strategies in digital transformation for resilient SC in healthcare using AHP and MABAC under uncertain environment." Journal of Enterprise Information Management, August 14, 2024. http://dx.doi.org/10.1108/jeim-09-2023-0466.

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PurposeThe main goal of this research is to analyze and assess the barriers to Digital Transformation (DT) of the healthcare Supply Chain (SC) in developing countries and evaluate strategies to overcome such barriers. The DT has been related not only to the development of SC performance but also to the expansion of its resilience capabilities in a healthcare setting to overcome the results of unavoidable risk events and return to its previous or new state, which has at least the same or better conditions, after the occurrence of an unpredicted event.Design/methodology/approachAssessment of the

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-, Venkata Ramana Gudelli. "Enhancing Application Security Using Web Application Firewalls and AI." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 11, no. 5 (2023). https://doi.org/10.37082/ijirmps.v11.i5.232166.

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Businesses across all sectors focus on web application security as their primary concern because of how the current digital era operates. New threats targeting web applications increase the complexity of exploiting system weaknesses, causing multiple destructive attacks that harm financial stability and reputation losses. Since these solutions do not work effectively, sophisticated attacks need modern protection systems that exceed traditional defensive security. The document explores how Web Application Firewalls (WAFs) integrate with Artificial Intelligence (AI) to build application security

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Horrigan, Matthew. "A Flattering Robopocalypse." M/C Journal 23, no. 6 (2020). http://dx.doi.org/10.5204/mcj.2726.

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RACHAEL. It seems you feel our work is not a benefit to the public.DECKARD. Replicants are like any other machine. They're either a benefit or a hazard. If they're a benefit it's not my problem.RACHAEL. May I ask you a personal question?DECKARD. Yes.RACHAEL. Have you every retired a human by mistake? (Scott 17:30) CAPTCHAs (henceforth "captchas") are commonplace on today's Internet. Their purpose seems clear: block malicious software, allow human users to pass. But as much as they exclude spambots, captchas often exclude humans with visual and other disabilities (Dzieza; W3C Working Group). Wo

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