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Why Big Data? Towards a Project Assessment Framework
8 references·2 citing·44 second hop
Why Big Data? Towards a Project Assessment Framework (2016)Why Big Data? Towards a Project Assessmen…Business intelligence: data mining and optimization for decision making (2016)Business intelligence: data m…Towards a big data reference architecture (2013)Towards a big data reference …Big Data : The Management Revolution (2013)Big Data : The Management Rev…Challenges and opportunities with big data (2012)Challenges and opportunities …Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Design Science in Information Systems Research1 (2004)Design Science in Information…Design science in information systems research (2004)Design science in information…Business Intelligence (2004)Business IntelligenceHarness the Global Impact of Big Data in Nurturing Social Entrepreneurship (2021)Harness the Global Impact of …Is big data for everyone? the challenges of big data adoption in SMEs (2017)Is big data for everyone? the…The Structure of Scientific Revolutions (1963)The Reflective Practitioner: How Professionals Think in Action (1985)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)The Nature of Theory in Information Systems1 (2006)A Design Science Research Methodology for Information Systems Research (2007)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Big data: The next frontier for innovation, competition, and productivity (2011)Data mining with big data (2013)Big Data: A Survey (2014)One size fits all? (2005)Building a Data Warehouse (2008)Big data: a revolution that will transform how we live, work, and think (2013)Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems (2015)Big Data Quality Assessment Model for Unstructured Data (2018)Developing a government enterprise architecture framework to support the requirements of big and open linked data with the use of cloud computing (2018)Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2 (2001)Beyond the hype: Big data concepts, methods, and analytics (2014)Data Analytics and SME Performance: A Bibliometric Analysis (2020)Challenges of big data adoption in Malaysia SMEs based on Lessig’s modalities: A systematic review (2021)Adoption of Big Data Analytics (2023)Information Systems Success: The Quest for the Dependent Variable (1992)The Structure of Scientific Revolutions (1996)Bridging the Qualitative–Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems1 (2013)Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship (2016)Procedures for Performing Systematic Reviews (2004)Social and Commercial Entrepreneurship: Same, Different, or Both? (2006)Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)Diffusion of Big Data Analytics Innovation in Managing Natural Resources in the African Mining Industry (2022)Spatial Patterns and Development Characteristics of China's Postgraduate Education (2022)Crossroads between Big Data and entrepreneurship: current key trends (2024)Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications (2003)Critical Success Factors for Business Intelligence Systems (2010)Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’ (2015)Exploring the path to big data analytics success in healthcare (2016)The Measurement of Productive Efficiency (1957)Measuring the efficiency of decision making units (1978)MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud1 (2012)Accounting, accountability, social media and big data: revolution or hype? (2017)A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics (2020)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)Current trends in Smart City initiatives: Some stylised facts (2014)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

  • 2004Design Science in Information Systems Research110,671 cited
  • 2004Design science in information systems research8,253 cited
  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2013Big Data : The Management Revolution3,540 cited
  • 2012Challenges and opportunities with big data1,068 cited
  • 2004Business Intelligence446 cited
  • 2016Business intelligence: data mining and optimization for decision making398 cited
  • 2013Towards a big data reference architecture24 cited

Cited by

  • 2017Is big data for everyone? the challenges of big data adoption in SMEs27 cited
  • 2021Harness the Global Impact of Big Data in Nurturing Social Entrepreneurship13 cited

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