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Data scientists as game changers in big data environments
13 references·3 citing·38 second hop
Data scientists as game changers in big data environments (2014)Data scientists as game changers in big d…The Rise of Big Data: How It’s Changing the Way We Think about the World (2014)The Rise of Big Data: How It’…Developing Analytic Talent: Becoming a Data Scientist (2014)Developing Analytic Talent: B…Big data at work: dispelling the myths, uncovering the opportunities (2014)Big data at work: dispelling …Data Scientists Aren't Domain Experts (2013)Data Scientists Aren't Domain…Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (2013)Data Science for Business: Wh…Data science and prediction (2013)Data science and predictionBig Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics (2013)Big Data Imperatives: Enterpr…Big Data Imperatives (2013)Big Data ImperativesData scientist: the sexiest job of the 21st century. (2012)Data scientist: the sexiest j…Big data: the management revolution. (2012)Big data: the management revo…The academic journal literature on air transport: Analysis using systematic literature review methodology (2011)The academic journal literatu…Big data: The next frontier for innovation, competition, and productivity (2011)Big data: The next frontier f…Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Analyzing the Past to Prepare…Data Science: Trends and Its Role in Various Fields (2023)Data Science: Trends and Its …On Understanding Data Scientists (2020)On Understanding Data Scienti…Data Science and AI: Trends Analysis (2019)Data Science and AI: Trends A…Systematic Reviews: Synthesis of Best Evidence for Clinical Decisions (1997)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Using knowledge within small and medium‐sized firms: A systematic review of the evidence (2005)Multi-criteria approaches for urban passenger transport systems: a literature review (2014)Performance Measurement and Management Systems: A Perspective from Complexity Theory (2018)A review of research into air transport and tourism (2021)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)Conjectures and Refutations (1963)To Explain or to Predict? (2010)Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research (2014)Data Science (2017)How Social Media Facilitates Political Protest: Information, Motivation, and Social Networks (2018)Beyond the hype: Big data concepts, methods, and analytics (2014)Big Data: A Survey (2014)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)New Games, New Rules: Big Data and the Changing Context of Strategy (2014)Big data: Dimensions, evolution, impacts, and challenges (2017)The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies (2020)Automated Text Analysis for Consumer Research (2017)Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics (2020)Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective (2021)Behavioral Implications of Big Data's Impact on Audit Judgment and Decision Making and Future Research Directions (2015)Big Data and Analytics in the Modern Audit Engagement: Research Needs (2017)When the Machine Meets the Expert: An Ethnography of Developing AI for Hiring (2021)A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach (2019)In Search of Big Medical Data Integration Solutions - A Comprehensive Survey (2019)Explore Big Data Analytics Applications and Opportunities: A Review (2022)Towards A Process View on Critical Success Factors in Big Data Analytics Projects (2015)Genomics and data science: an application within an umbrella (2019)Overview of Data Quality: Examining the Dimensions, Antecedents, and Impacts of Data Quality (2023)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)Privacy and human behavior in the age of information (2015)Big data analytics and firm performance: Effects of dynamic capabilities (2016)
this work references cited by second hop

References

  • 2002Analyzing the Past to Prepare for the Future: Writing a Literature Review7,440 cited
  • 2011Big data: The next frontier for innovation, competition, and productivity5,202 cited
  • 2012Big data: the management revolution.2,326 cited
  • 2013Data science and prediction855 cited
  • 2013Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking715 cited
  • 2014Big data at work: dispelling the myths, uncovering the opportunities399 cited
  • 2014The Rise of Big Data: How It’s Changing the Way We Think about the World363 cited
  • 2011The academic journal literature on air transport: Analysis using systematic literature review methodology115 cited
  • 2012Data scientist: the sexiest job of the 21st century.99 cited
  • 2013Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics79 cited
  • 2013Big Data Imperatives78 cited
  • 2013Data Scientists Aren't Domain Experts64 cited
  • 2014Developing Analytic Talent: Becoming a Data Scientist28 cited

Cited by

  • 2020On Understanding Data Scientists17 cited
  • 2019Data Science and AI: Trends Analysis16 cited

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  • 2023Data Science: Trends and Its Role in Various Fields11 cited