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Big Data Analytics: A Literature Review Perspective
16 references·0 citing·36 second hop
Big Data Analytics: A Literature Review Perspective (2019)Big Data Analytics: A Literature Review P…How to improve firm performance using big data analytics capability and business strategy alignment? (2016)How to improve firm performan…Big data analytics and firm performance: Effects of dynamic capabilities (2016)Big data analytics and firm p…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …Challenges of Big Data analysis (2014)Challenges of Big Data analys…Big Data: A Survey (2014)Big Data: A SurveyBig Data, new epistemologies and paradigm shifts (2014)Big Data, new epistemologies …Big data and its technical challenges (2014)Big data and its technical ch…Beyond the hype: Big data concepts, methods, and analytics (2014)Beyond the hype: Big data con…Data Science and its Relationship to Big Data and Data-Driven Decision Making (2013)Data Science and its Relation…Big data: A review (2013)Big data: A reviewBusiness Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Big data: The next frontier for innovation, competition, and productivity (2011)Big data: The next frontier f…Reconstructing the Giant: On the Importance of Rigour in Documenting the Literature Search Process (2009)Reconstructing the Giant: On …A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research (2006)A Systems Approach to Conduct…Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Analyzing the Past to Prepare…Information Systems Success: The Quest for the Dependent Variable (1992)Strategies for Theorizing from Process Data (1999)Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2 (2001)Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification (2014)Literature review as a research methodology: An overview and guidelines (2019)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)THE STRUCTURE OF SCIENTIFIC REVOLUTIONS (1963)The Structure of Scientific Revolutions (1963)CRITICAL QUESTIONS FOR BIG DATA (2012)Algorithmic regulation: A critical interrogation (2017)Working and organizing in the age of the learning algorithm (2018)A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)A Guide to Conducting a Systematic Literature Review of Information Systems Research (2011)Synthesizing information systems knowledge: A typology of literature reviews (2014)A Guide to Conducting a Standalone Systematic Literature Review (2015)An overview of business intelligence technology (2011)Big data: a revolution that will transform how we live, work, and think (2013)A survey of machine learning for big data processing (2016)Data quality management, data usage experience and acquisition intention of big data analytics (2014)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)PLS-SEM: Indeed a Silver Bullet (2011)Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA (2016)Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2019)Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects (2020)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Big Data technologies: A survey (2017)Machine learning on big data: Opportunities and challenges (2017)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)
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References

  • 2002Analyzing the Past to Prepare for the Future: Writing a Literature Review7,440 cited
  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2011Big data: The next frontier for innovation, competition, and productivity5,202 cited
  • 2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
  • 2014Big Data: A Survey2,909 cited
  • 2015Deep learning applications and challenges in big data analytics2,597 cited
  • 2016Big data analytics and firm performance: Effects of dynamic capabilities2,466 cited
  • 2014Big Data, new epistemologies and paradigm shifts2,351 cited
  • 2006A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research1,580 cited
  • 2013Data Science and its Relationship to Big Data and Data-Driven Decision Making1,569 cited
  • 2014Challenges of Big Data analysis1,482 cited
  • 2016How to improve firm performance using big data analytics capability and business strategy alignment?1,450 cited
  • 2013Big data: A review1,426 cited
  • 2009Reconstructing the Giant: On the Importance of Rigour in Documenting the Literature Search Process

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1,380 cited
  • 2014Big data and its technical challenges1,049 cited
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