# Big Data and Business Intelligence

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/big-data-and-business-intelligence/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers explores the impact of big data analytics on business performance, with a focus on supply chain management, predictive analytics, data science, and decision support systems. It delves into the challenges and opportunities of leveraging big data for firm performance and sustainability, as well as the integration of business intelligence and knowledge management. The research also examines the role of big data in innovation, risk mitigation, and operational transparency within organizations. |
| Domain | Social Sciences |
| Field | Business, Management and Accounting |
| OpenAlex ID | t11891 |
| Works | 110 |

## Topic papers all

Showing 15 of 110.

- [Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy](https://scholariq.org/papers/artificial-intelligence-ai-multidisciplinary-perspectives-on-emerging-challenges/)
- [Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda](https://scholariq.org/papers/artificial-intelligence-for-decision-making-in-the-era-of-big-data-evolution/)
- [Artificial intelligence and innovation management: A review, framework, and research agenda✰](https://scholariq.org/papers/artificial-intelligence-and-innovation-management-a-review-framework-and/)
- [Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations](https://scholariq.org/papers/big-data-analytics-and-artificial-intelligence-pathway-to-operational/)
- [The relationship between digitalization and servitization: The role of servitization in capturing the financial potential of digitalization](https://scholariq.org/papers/the-relationship-between-digitalization-and-servitization-the-role-of/)
- [Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model](https://scholariq.org/papers/understanding-ai-adoption-in-manufacturing-and-production-firms-using-an/)
- [Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model](https://scholariq.org/papers/digital-twin-as-a-service-dtaas-in-industry-4-0-an-architecture-reference-model/)
- [Viewpoint: When Will AI Exceed Human Performance? Evidence from AI Experts](https://scholariq.org/papers/viewpoint-when-will-ai-exceed-human-performance-evidence-from-ai-experts/)
- [How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops](https://scholariq.org/papers/how-ai-capabilities-enable-business-model-innovation-scaling-ai-through-co/)
- [A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions](https://scholariq.org/papers/a-comprehensive-review-of-big-data-analytics-throughout-product-lifecycle-to/)
- [Linear Models with R](https://scholariq.org/papers/linear-models-with-r/)
- [A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products](https://scholariq.org/papers/a-big-data-analytics-architecture-for-cleaner-manufacturing-and-maintenance/)
- [Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain](https://scholariq.org/papers/big-data-analytics-and-organizational-culture-as-complements-to-swift-trust-and/)
- [How Low Should You Go? Low Response Rates and the Validity of Inference in IS Questionnaire Research](https://scholariq.org/papers/how-low-should-you-go-low-response-rates-and-the-validity-of-inference-in-is/)
- [Achieving superior organizational performance via big data predictive analytics: A dynamic capability view](https://scholariq.org/papers/achieving-superior-organizational-performance-via-big-data-predictive-analytics/)

## Topic primary papers

Showing 15 of 52.

- [Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy](https://scholariq.org/papers/artificial-intelligence-ai-multidisciplinary-perspectives-on-emerging-challenges/)
- [Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda](https://scholariq.org/papers/artificial-intelligence-for-decision-making-in-the-era-of-big-data-evolution/)
- [Artificial intelligence and innovation management: A review, framework, and research agenda✰](https://scholariq.org/papers/artificial-intelligence-and-innovation-management-a-review-framework-and/)
- [Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations](https://scholariq.org/papers/big-data-analytics-and-artificial-intelligence-pathway-to-operational/)
- [Linear Models with R](https://scholariq.org/papers/linear-models-with-r/)
- [A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products](https://scholariq.org/papers/a-big-data-analytics-architecture-for-cleaner-manufacturing-and-maintenance/)
- [Achieving superior organizational performance via big data predictive analytics: A dynamic capability view](https://scholariq.org/papers/achieving-superior-organizational-performance-via-big-data-predictive-analytics/)
- [Recent Development in Big Data Analytics for Business Operations and Risk Management](https://scholariq.org/papers/recent-development-in-big-data-analytics-for-business-operations-and-risk/)
- [A framework for Big Data driven product lifecycle management](https://scholariq.org/papers/a-framework-for-big-data-driven-product-lifecycle-management/)
- [How Can SMEs Benefit from Big Data? Challenges and a Path Forward](https://scholariq.org/papers/how-can-smes-benefit-from-big-data-challenges-and-a-path-forward/)
- [When Will AI Exceed Human Performance? Evidence from AI Experts](https://scholariq.org/papers/when-will-ai-exceed-human-performance-evidence-from-ai-experts/)
- [Current trends on ICT technologies for enterprise information systems](https://scholariq.org/papers/current-trends-on-ict-technologies-for-enterprise-information-systems/)
- [Big Data Software Engineering: Analysis of Knowledge Domains and Skill Sets Using LDA-Based Topic Modeling](https://scholariq.org/papers/big-data-software-engineering-analysis-of-knowledge-domains-and-skill-sets-using/)
- [Antecedents to firm performance and competitiveness using the lens of big data analytics: a cross-cultural study](https://scholariq.org/papers/antecedents-to-firm-performance-and-competitiveness-using-the-lens-of-big-data/)
- [The state of marketing analytics in research and practice](https://scholariq.org/papers/the-state-of-marketing-analytics-in-research-and-practice/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.