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Big Data Analytics Application Model Based on Data Quality Dimensions and Big Data Traits in Public Sector
16 references·0 citing·51 second hopsampled
Big Data Analytics Application Model Based on Data Quality Dimensions and Big Data Traits in Public Sector (2020)Big Data Analytics Application Model Base…Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value? (2019)Leveraging internet of things…Big data analytics and firm performance: Findings from a mixed-method approach (2019)Big data analytics and firm p…A survey towards an integration of big data analytics to big insights for value-creation (2018)A survey towards an integrati…Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality (2017)Why PLS-SEM is suitable for c…Debating big data: A literature review on realizing value from big data (2017)Debating big data: A literatu…Big Data technologies: A survey (2017)Big Data technologies: A surv…Big data technologies and Management: What conceptual modeling can do (2017)Big data technologies and Man…Modelling quality dynamics, business value and firm performance in a big data analytics environment (2016)Modelling quality dynamics, b…Critical analysis of Big Data challenges and analytical methods (2016)Critical analysis of Big Data…Big data analytics and firm performance: Effects of dynamic capabilities (2016)Big data analytics and firm p…The Challenges of Data Quality and Data Quality Assessment in the Big Data Era (2015)The Challenges of Data Qualit…A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology (2015)A Brief Introduction on Big D…Seven V's of Big Data understanding Big Data to extract value (2014)Seven V's of Big Data underst…Data quality management, data usage experience and acquisition intention of big data analytics (2014)Data quality management, data…Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Data quality for data science…Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Beyond Accuracy: What Data Qu…Out of the Crisis (1982)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Information Systems Success: The Quest for the Dependent Variable (1992)Data quality in context (1997)AIMQ: a methodology for information quality assessment (2002)Data quality assessment (2002)Firm Resources and Sustained Competitive Advantage (1991)Toward a knowledge‐based theory of the firm (1996)Firm resources and sustained competitive advantage (2004)Big data and disaster management: a systematic review and agenda for future research (2017)Circular economy and big data analytics: A stakeholder perspective (2018)Artificial intelligence applications in supply chain management (2021)Judgment under Uncertainty: Heuristics and Biases (1974)Institutionalized Organizations: Formal Structure as Myth and Ceremony (1977)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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References

  • 1996Beyond Accuracy: What Data Quality Means to Data Consumers4,663 cited
  • 2016Big data analytics and firm performance: Effects of dynamic capabilities2,466 cited
  • 2016Critical analysis of Big Data challenges and analytical methods2,065 cited
  • 2015The Challenges of Data Quality and Data Quality Assessment in the Big Data Era1,015 cited
  • 2017Big Data technologies: A survey994 cited
  • 2017Debating big data: A literature review on realizing value from big data880 cited
  • 2014Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications863 cited
  • 2019Big data analytics and firm performance: Findings from a mixed-method approach727 cited
  • 2014Data quality management, data usage experience and acquisition intention of big data analytics720 cited
  • 2018A survey towards an integration of big data analytics to big insights for value-creation493 cited
  • 2017Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality481 cited
  • 2015A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology413 cited
  • 2016Modelling quality dynamics, business value and firm performance in a big data analytics environment340 cited
  • 2019Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value?

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306 cited
  • 2014Seven V's of Big Data understanding Big Data to extract value290 cited
  • 2017Big data technologies and Management: What conceptual modeling can do259 cited
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