Relevant bibliographies by topics / Organizational capabilities, digital analytics, data-rich environments

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Organizational capabilities, digital analytics, data-rich environments'

Author: Grafiati
Published: 11 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Organizational capabilities, digital analytics, data-rich environments"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Organizational capabilities, digital analytics, data-rich environments"

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Bullini, Orlandi Ludovico. "Organizations in the Digital Transformation: essays on the impact of digital data-rich environments on organizational capabilities and performance." Doctoral thesis, 2017. http://hdl.handle.net/11562/965058.

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Contemporary organizations have to face a technological scenario characterized by the so-called Digital Transformation. One of the main consequences is a massive expansion of data available in the different digital channels. These information assets are accessible to all organizations, but not all of them are able to extract value from digital data. Recent reports by major IT consulting firms have claimed that the deployment of digital data inside organizations can lead to superior performance. But at the same time the organization and management theory literature displays substantial gaps abo
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Book chapters on the topic "Organizational capabilities, digital analytics, data-rich environments"

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Sohu, Jan Muhammad, Syed Mir Muhammad Shah, Quswah Makhdoom, Jawaid Ahmed Qureshi, Ikramuddin Junejo, and Touseef Hussain Ghumro. "Integration of Industry 5.0 and Eco-Innovation for Sustainable Manufacturing." In Advances in Human Resources Management and Organizational Development. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7046-9.ch018.

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In the age of Industry 5.0 (I 5.0), manufacturing SMEs face the critical challenge of balancing technological advancement with environmental sustainability. This study explores the intricate relationships between Industry 5.0 technologies—specifically Big Data Analytics and Artificial Intelligence (BDA-AI), Human-Robot Collaboration (HRC), and the Internet of Things (IoT), and sustainable practices in manufacturing SMEs. Drawing on data from 466 SMEs across key industrial regions, we employ structural equation modeling to uncover the transformative roles of Eco-Innovation. Our findings reveal
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Lakkarasu, Phanish. "Architecting advanced data pipelines using real-time streaming and batch processing technologies." In Designing Scalable and Intelligent Cloud Architectures: An End-to-End Guide to AI Driven Platforms, MLOps Pipelines, and Data Engineering for Digital Transformation. Deep Science Publishing, 2025. https://doi.org/10.70593/978-93-49910-08-9_6.

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Today, data is one of the most important company resources after human resources. It is therefore important to handle data in an adequate way. More and more organizations choose to advance their data strategies beyond simple data warehousing, so they can analyze bigger and bigger data that is produced in a more real-time basis, in a distributed manner, and with increasing variety. Over the past decade, different technologies have emerged which promise to be the answer to the big and fast data challenge. Organizations utilize these technologies in different ways, as well as different combinatio
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Jyotsna, Tanya. "A PARADIGM SHIFT IN JOB SATISFACTION." In Futuristic Trends in Social Sciences Volume 3 Book 4. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bgso4p3ch3.

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The evolving landscape of the 21st century is witnessing a convergence of technological advancements and social science, leading to a paradigm shift in the realm of job satisfaction. This abstract delves into the intricate interplay between these elements, exploring how futurist trends are reshaping the way individuals perceive and experience satisfaction within their work environments. In the contemporary world, technology serves as the catalyst for transformative shifts in various spheres of life. As automation, artificial intelligence, and data analytics redefine industries, they simultaneo
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Zrybnieva, Iryna. "TRANSFORMATION OF NEGOTIATION STRATEGIES IN THE ERA OF ARTIFICIAL INTELLIGENCE." In Directions for the development of science in the context of global transformations. Publishing House “Baltija Publishing”, 2025. https://doi.org/10.30525/978-9934-26-562-4-11.

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This research explores the transformation of negotiation strategies driven by the rapid advancement and integration of artificial intelligence (AI). In an era of digital acceleration, traditional negotiation practices, primarily relying on human intuition, experience, and emotional intelligence, are increasingly supplemented by AI-driven automated processes. The main objective of this research is to examine how artificial intelligence reshapes established negotiation frameworks critically, impacts decision-making efficiency, and contributes to strategy optimization across various sectors, incl
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Conference papers on the topic "Organizational capabilities, digital analytics, data-rich environments"

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Ojuekaiye, Olusegun Samuel. "Petroleum Industry Value Chain Optimization: The Inevitability of Midstream and Downstream Development. Asset Management and Information." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/221689-ms.

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Abstract Asset management, a process that encompasses recording, data collection, reporting, and documentation of assets, is crucial for supporting operational activities, in maintenance, repair, and procurement. It is a systematic initiative within an organization aimed at identifying, monitoring (cataloguing), categorizing, and attributing ownership to organizational assets throughout their lifespan. The primary goal is to safeguard these assets, preventing the introduction of unforeseen risks. These assets encompass various elements such as technology and other business-related hardware, ph
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DAMIAN, Dora Ioana, and Corina FRĂSINEANU. "THE IMPACT OF AI ON TALENT MANAGEMENT." In International Management Conference. Editura ASE, 2025. https://doi.org/10.24818/imc/2024/02.03.

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In the context of a digital economy marked by constant technological advancements, including artificial intelligence, big data, cloud computing, and the Internet of Things, organizations are evolving into interconnected entities. This interdependence necessitates simultaneous changes across all departments, particularly human resources, which serves as the catalyst for modern organizations. Traditional HR approaches are increasingly inadequate in meeting the demands of this dynamic environment, failing to efficiently manage talent identification, selection, development, retention, and overall
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Stinson, Sean. "Industrial Internet of Things to Improve HSE Performance." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/210932-ms.

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Abstract Industrial businesses face increased pressure to drive operational excellence, and that includes keeping people safe and managing costs. Legal compliance is a requirement, and budget constraints are a reality. This paper examines how connected technology can help streamline safety processes and improve worksite efficiency. We discuss how data and real-time analytics from digitally connected devices using the Industrial Internet of Things (IIOT) can improve organizational productivity, compliance and safety performance including, most crucially, response time to life-threatening incide
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Abu Bakar, Afdzal Hizamal, Muhamad Nasri Jamaluddin, Rizwan Musa, et al. "Connecting Reservoir, Wells, Facilities Management, HSEE to Accelerate Data Driven Value: Digital Fields Expansion." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204841-ms.

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Abstract Oil &amp; gas industry player have always been big investors in advancement of technology, especially in the direction of extracting additional petroleum to address the production decline. In the spirit of automation, PETRONAS has various automated technical workflows that tackles different types of challenges and purposes. The operational, technical and engineering aspects of increasing production and effectiveness of execution are built upon these processes related to automation of data sources as well as systems integration. With the recent challenge that forced the employees to wo
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Ijomanta, Henry, Lukman Lawal, Onyekachi Ike, Raymond Olugbade, Fanen Gbuku, and Charles Akenobo. "Digital Oil Field; The NPDC Experience." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/207169-ms.

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Abstract This paper presents an overview of the implementation of a Digital Oilfield (DOF) system for the real-time management of the Oredo field in OML 111. The Oredo field is predominantly a retrograde condensate field with a few relatively small oil reservoirs. The field operating philosophy involves the dual objective of maximizing condensate production and meeting the daily contractual gas quantities which requires wells to be controlled and routed such that the dual objectives are met. An Integrated Asset Model (IAM) (or an Integrated Production System Model) was built with the objective
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Ibrahim, ElFadl Z., Mariam A. Al Hendi, Abdulla Al-Qamzi, et al. "Collaborative Working Environment CWE Strategy: An Enterprise Approach to Operational Excellence." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207731-ms.

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Abstract Collaborative Working Environments (CWE) are a business solution that improve the quality and speed of decision making by enriching the collaboration between teams and individuals, which results in tangible business benefits. The advantages of working in a collaborative environment are well understood in the organization and the concept is widely embraced throughout the petroleum industry. CWEs provide seamless communication between disciplines and between teams in different locations. Traditionally, they have been used to connect staff in remote locations to teams in the headquarters
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Aguado García, Daniel, Henri Haimi, Michela Mulas, and Francesco Corona. "Roadmap towards Smart Wastewater Treatment Facilities." In 2nd WDSA/CCWI Joint Conference. Editorial Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/wdsa-ccwi2022.2022.14247.

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To protect human health and natural ecosystems, wastewater treatment plants (WWTPs) have been traditionally designed to remove pollutants from wastewater. With remarkable success WWTPs have adapted to increasingly stringent discharge limits over the years. Nowadays, municipal wastewater treatment facilities are facing a double transition. On the one hand, the transition towards sustainability and the circular water economy, in which resource recovery from wastewater (water recovery, energy recovery and nutrient recovery) plays a fundamental role for its effective implementation. Note that the
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Nakash, Maayan. "Learning in the Flow of Work: Navigating the Convergence of Organizational Learning and Knowledge Management [Abstract]." In InSITE 2024: Informing Science + IT Education Conferences. Informing Science Institute, 2024. http://dx.doi.org/10.28945/5270.

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Aim/Purpose: The study aims to elucidate the intricate relationship between Organizational Learning (OL) and Knowledge Management (KM), two pivotal organizational capabilities whose interplay remains enigmatic. This study ventures into the depths of this relationship, seeking to demystify the interplay between the structured, strategic management of knowledge and the more fluid, organic process of learning within an organization. Background: Organizational knowledge dynamics pivot on the axis of individual and collective learning processes. KM refers to a multidisciplinary approach to achievin
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