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On big data-guided upstream business research and its knowledge management
11 references·2 citing·41 second hop
On big data-guided upstream business research and its knowledge management (2018)On big data-guided upstream business rese…Big Data Analytics: Methods and Applications (2016)Big Data Analytics: Methods a…Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data (2015)Data Science and Big Data Ana…Metaphors of Big Data (2014)Metaphors of Big DataFEDS: a Framework for Evaluation in Design Science Research (2014)FEDS: a Framework for Evaluat…Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research (2014)Editorial —Big Data, Data Sci…Comparing Business Intelligence and Big Data Skills (2014)Comparing Business Intelligen…Big Data, Mining, and Analytics: Components of Strategic Decision Making (2014)Big Data, Mining, and Analyti…Big Data (2014)Big DataData Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (2013)Data Science for Business: Wh…Design Science Research Methods and Patterns (2007)Design Science Research Metho…Data Warehousing: Strategies, Technologies, and Techniques (1996)Data Warehousing: Strategies,…Big data as a value generator in decision support systems: a literature review (2021)Big data as a value generator…Big Data Analytics Usage and Business Performance: Integrating the Technology Acceptance Model (TAM) and Task Technology Fit (TTF) Model (2020)Big Data Analytics Usage and …Firm resources and sustained competitive advantage (2004)Big data: The next frontier for innovation, competition, and productivity (2011)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study (2017)Actualizing big data analytics affordances: A revelatory case study (2018)Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics (2020)Big data: a revolution that will transform how we live, work, and think (2013)Data lakes in business intelligence: reporting from the trenches (2018)Green supplier selection in new era for sustainability: A novel method for integrating big data analytics and a hybrid fuzzy multi-criteria decision making (2021)The Use of Digital Media for Marketing, CSR Communication and Stakeholder Engagement (2021)Information Systems Success: The Quest for the Dependent Variable (1992)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)A Taxonomy of Evaluation Methods for Information Systems Artifacts (2015)Design Science Research Contributions: Finding a Balance between Artifact and Theory (2018)Designing Transparency for Effective Human-AI Collaboration (2022)Laboratory Life: The Construction of Scientific Facts (1986)Metaphors We Live By (2003)CRITICAL QUESTIONS FOR BIG DATA (2012)Is the Human Rights Framework Still Fit for the Big Data Era? A Discussion of the ECtHR’s Case Law on Privacy Violations Arising from Surveillance Activities (2016)New Perspectives in Critical Data Studies: The Ambivalences of Data Power—An Introduction (2022)When data became big: revisiting the rise of an obsolete keyword (2023)CONJECTURES AND REFUTATIONS (1963)To Explain or to Predict? (2010)Data science and prediction (2013)Data Science (2017)Algorithms at Work: The New Contested Terrain of Control (2019)The Sociotechnical Axis of Cohesion for the is Discipline: Its Historical Legacy and its Continued Relevance1 (2019)Design of data warehouses using metadata (2001)The dissolution process of a business relationship : a case study from tailored software business (2001)Data Retention and the Panoptic Society: The Social Benefits of Forgetfulness (2002)A Survey on Big Data, Mining: (Tools, Techniques, Applications and Notable Uses) (2015)An Overview of Big Data and Machine Learning Paradigms (2019)Design Science in the Information Systems Discipline: An Introduction to the Special Issue on Design Science Research (2008)A design science research methodology and its application to accounting information systems research (2011)Evaluations in the Science of the Artificial – Reconsidering the Build-Evaluate Pattern in Design Science Research (2012)Automated Text Analysis for Consumer Research (2017)Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective (2021)The role of data visualization and analytics in performance management: Guiding entrepreneurial growth decisions (2017)Factor-based big data and predictive analytics capability assessment tool for the construction industry (2019)Recent developments of control charts, identification of big data sources and future trends of current research (2019)
this work references cited by second hop

References

  • 2014FEDS: a Framework for Evaluation in Design Science Research1,080 cited
  • 2013Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking715 cited
  • 2014Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research611 cited
  • 2007Design Science Research Methods and Patterns487 cited
  • 2014Comparing Business Intelligence and Big Data Skills207 cited
  • 2015Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data142 cited
  • 2014Metaphors of Big Data81 cited
  • 2014Big Data52 cited
  • 1996Data Warehousing: Strategies, Technologies, and Techniques44 cited
  • 2014Big Data, Mining, and Analytics: Components of Strategic Decision Making33 cited
  • 2016Big Data Analytics: Methods and Applications22 cited

Cited by

  • 2021Big data as a value generator in decision support systems: a literature review17 cited
  • 2020Big Data Analytics Usage and Business Performance: Integrating the Technology Acceptance Model (TAM) and Task Technology Fit (TTF) Model15 cited

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