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Open research questions in Big Data and Business Intelligence

351 gap statements mined from Big Data and Business Intelligence papers in our 7.9M-paper local library, which holds 1,889 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • The paper identifies the need for resilient data science frameworks enabling organisations to evaluate their digital readiness and execute their data-driven plans efficiently and effortlessly. Significant barriers persist despite the advantages of technological advancements in the manufacturing industry.

    Bridging the Maturity Gaps in Industrial Data Science: Navigating Challenges in IoT-Driven Manufacturing · 2025 · DOI

  • The complexity of industrial assets and the need for advanced analysis and decision-making support. The variety of digital assets and the complex networking behind them require better and automated monitoring systems. The need for optimized maintenance policies and advanced analysis to support engineers, technicians, and operators.

    A Survey on Data Mining for Data-Driven Industrial Assets Maintenance · 2025 · DOI

  • The lack of effective management of IT projects for organizational success. The need for sustainability in IT project management. The gap in the utilization of data-driven decision making processes for IT project management excellence.

    Data-Driven Decision Making for Sustainable IT Project Management Excellence · 2024 · DOI

  • The paper identifies the need for a comprehensive analysis to check the boom of articles in this domain.

    Mapping the Research Landscape of Industry 5.0 from a Machine Learning and Big Data Analytics Perspective: A Bibliometric Approach · 2024 · DOI

  • The gap is related to the mediating role of organizational ambidexterity in this relationship.

    Big Data Analytics, Strategic Capabilities, and Innovation Performance: Mediation Approach of Organizational Ambidexterity · 2024 · DOI

  • Few studies have examined the leaders of ambidextrous organizations. There is a gap in understanding the relationship between ambidextrous leadership, organizational agility, and entrepreneurial orientation in achieving sustainable AI product innovation.

    The Synergy of Ambidextrous Leadership, Agility, and Entrepreneurial Orientation to Achieve Sustainable AI Product Innovation · 2024 · DOI

  • Although managerial actions are known to play a vital role in shaping BI system use, it remains unclear how leadership behaviours influence employees’ deeper, more innovative engagement with BI.

    Transformational leadership and business intelligence infusion use behaviours: the mediating role of user empowerment · 2026 · DOI

  • The open problems include the absence, in the work we read, of measured outcomes for any mesh adoption.

    Data Lakehouse and Data Mesh: Architecture, Governance and Open Problems · 2026 · DOI

  • Future research should examine whether repeated dashboard feedback can train System 2 override capacities over time and how socio-emotional wealth in family firms further modulates these cognitive pipelines.

    124 EMOTIONAL BIAS AND DECISION ANXIETY: PSYCHOLOGICAL CHALLENGES IN SMALL-BUSINESS BIG-DATA ADOPTION · 2025 · DOI

  • Yet, most BDA investments fail to realise their expected value, indicating that the path for BDA value creation remains unclear; scholars call for a better understanding of the role of BDA use.

    The role of use for the business value of big data analytics · 2025 · DOI

  • This observation aligns with dynamic capabilities theory, which states that organizations need to continuously redesign resources and capabilities in response to evolving environments. BI, therefore, is a dynamic capability that can help firms gain sustained competitive advantage and achieve high performance outcomes.

    The Moderating Role of Business Intelligence in the Relationship between Supply Chain Alliances and Sustainable Firm Performance within Emerging Economic Environment · 2026 · DOI

  • Future research should focus on empirical investigations and industry-specific case studies to examine how AI adoption affects strategic decision-making across different organizational contexts.

    Artificial intelligence-enabled strategic management: A review of its impact on decision-making effectiveness and organizational performance · 2026 · DOI

  • Future research can explore the role of AI in business model transformation. Future research can examine the impact of digital transformation on organizational performance and competitive advantage.

    Mapping Research on Business Model Transformation Strategies as a Response to Digital Disruption to Achieve Competitive Advantage · 2026 · DOI

  • Existing studies on digital disruption, business model transformation, and competitive advantage remain fragmented. There is a need for a comprehensive understanding of research trends in this field.

    Mapping Research on Business Model Transformation Strategies as a Response to Digital Disruption to Achieve Competitive Advantage · 2026 · DOI

  • Multimodal Analytics Future BI systems may integrate text, images, voice, and structured data into a unified analytical experience. This would allow users to upload documents, screenshots, or charts and receive contextual insights generated by LLMs.

    AI Driven BI: How Large Language Models Transform Enterprise Analytics · 2026 · DOI

  • There is a shortage of qualified talent in the field of AI. Recruiting and retaining skilled professionals is both difficult and expensive. Existing employees may lack the necessary technical knowledge and require extensive training.

    The Role of Artificial Intelligence in Business Decision-Making · 2026 · DOI

  • There is a lack of skilled professionals in the field of AI. Organizations face several challenges while implementing AI technologies, including high implementation costs and lack of technical expertise.

    The Role of Artificial Intelligence in Business Decision-Making · 2026 · DOI

  • Integrating emerging technologies and adapting to evolving user needs and industry trends. Ensuring interoperability and consistency in how devices interact with the virtual environment.

    The Metaverse Is Geospatial: A System Model Architecture Integrating Spatial Computing, Digital Twins, and Virtual Worlds · 2025 · DOI

  • The study had a limited sample size of 132 students, - The study was conducted at a single university, - The study did not investigate the reasons why students opt for limited tools over more powerful…

    Students’ Trust in AI and Their Verification Strategies: A Case Study at Camilo José Cela University · 2025 · DOI

  • Investigate the reasons why students opt for limited tools over more powerful alternatives, - Develop a reliable verification protocol accessible to both students and faculty, - Explore the impact of AI on the educational domain in different…

    Students’ Trust in AI and Their Verification Strategies: A Case Study at Camilo José Cela University · 2025 · DOI

  • Emerging trends in machine learning and related technologies should be explored, - Future research directions include advancing condition-based and predictive maintenance…

    A Survey on Data Mining for Data-Driven Industrial Assets Maintenance · 2025 · DOI

  • Determining factors for the adoption of data-driven strategies, - Expanding the research to other industries and countries, - Investigating the impact of data-driven decision making on other aspects of project…

    Data-Driven Decision Making for Sustainable IT Project Management Excellence · 2024 · DOI

  • Further analysis of the research landscape of Industry 5.0, - Investigation of the impact of machine learning and big data analysis on various domains, - Exploration of the collaboration between authors…

    Mapping the Research Landscape of Industry 5.0 from a Machine Learning and Big Data Analytics Perspective: A Bibliometric Approach · 2024 · DOI

  • Include additional factors such as adhocracy culture and knowledge-based dynamic capabilities to gain a deeper understanding - Expand the scope of this study by collecting data from multiple regions within China and across different countries - Compare the similarities and differences in a wider range of regions - Investigate sectors beyond the AI industry to help identify potential synergies and interdependencies…

    The Synergy of Ambidextrous Leadership, Agility, and Entrepreneurial Orientation to Achieve Sustainable AI Product Innovation · 2024 · DOI

  • Thus, this qualitative study fills a significant gap in research by examining the topic in depth from a multifaceted perspective.

    Data and analytics strategy: A qualitative analysis of protection, management, and exploration objectives using dynamic capabilities theory · 2026 · DOI

Most-cited papers in Big Data and Business Intelligence

Most recent work

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Open questions raised by papers listed on this page include: (1) Although managerial actions are known to play a vital role in shaping BI system use, it remains unclear how leadership behaviours influence employees’ deeper, more innovative engagement with BI (“Transformational leadership and business intelligence infusion use behaviours:…”, 2026); (2) Future research should focus on empirical investigations and industry-specific case studies to examine how AI adoption affects strategic decision-making across different organizational contexts (“Artificial intelligence-enabled strategic management: A review of its impact on…”, 2026); (3) Future research can explore the role of AI in business model transformation (“Mapping Research on Business Model Transformation Strategies as a Response to…”, 2026); (4) There is a lack of skilled professionals in the field of AI (“The Role of Artificial Intelligence in Business Decision-Making”, 2026); (5) Future research should examine whether repeated dashboard feedback can train System 2 override capacities over time and how socio-emotional wealth in family firms further modulates these cognitive pipelines (“124 EMOTIONAL BIAS AND DECISION ANXIETY: PSYCHOLOGICAL CHALLENGES IN…”, 2025). 351 gap statements have been mined from Big Data and Business Intelligence papers in our 7.9M-paper local library, which holds 1,889 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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