SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Intrinsic Relations between Data Science, Big Data, Business Analytics and Datafication
16 references·1 citing·34 second hop
Intrinsic Relations between Data Science, Big Data, Business Analytics and Datafication (2014)Intrinsic Relations between Data Science,…Big data at work: dispelling the myths, uncovering the opportunities (2014)Big data at work: dispelling …Data science and prediction (2013)Data science and predictionBusiness Intelligence and Analytics (2013)Business Intelligence and Ana…Big Data : The Management Revolution (2013)Big Data : The Management Rev…‘Datafication’: making sense of (big) data in a complex world (2013)‘Datafication’: making sense …Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Big data: the management revolution. (2012)Big data: the management revo…Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? (2011)Strength in Numbers: How Does…Big data: The next frontier for innovation, competition, and productivity (2011)Big data: The next frontier f…An overview of business intelligence technology (2011)An overview of business intel…Business Research: A Practical Guide for Undergraduate and Postgraduate Students (2009)Business Research: A Practica…The Current State of Business Intelligence (2007)The Current State of Business…Competing on Analytics: The New Science of Winning (2007)Competing on Analytics: The N…The Organization of Decentralized Information Processing (1993)The Organization of Decentral…Computing and organizations: what we know and what we don't know (1984)Computing and organizations: …Organization Design: An Information Processing View (1974)Organization Design: An Infor…Big Data aus ökonomischer Sicht: Potenziale und Handlungsbedarf (2018)Big Data aus ökonomischer Sic…An Evolutionary Theory of Economic Change. (1983)Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending (1996)Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value1 (2004)Data Science and its Relationship to Big Data and Data-Driven Decision Making (2013)Big Data for Development: A Review of Promises and Challenges (2015)The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance (2021)Richard M. Cyert & James G. March, A Behavioral Theory of The Firm, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1963, 332 s. (1964)Organization and environment (1967)Information Processing as an Integrating Concept in Organizational Design (1978)Enhancing the Effectiveness of Work Groups and Teams (2006)The Concept of Information Overload - A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines (2004) (2008)An overview of data warehousing and OLAP technology (1997)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Debating big data: A literature review on realizing value from big data (2017)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)Framework Analysis: A Qualitative Methodology for Applied Policy Research (2009)Designing and using research questionnaires (2014)The Impact of Social Media Marketing Medium toward Purchase Intention and Brand Loyalty among Generation Y (2014)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)Privacy and human behavior in the age of information (2015)Big data analytics and firm performance: Effects of dynamic capabilities (2016)Digital Finance and FinTech: current research and future research directions (2017)Closing the Marketing Capabilities Gap (2011)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Critical analysis of Big Data challenges and analytical methods (2016)How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study (2015)
this work references cited by second hop

References

  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2011Big data: The next frontier for innovation, competition, and productivity5,202 cited
  • 2009Business Research: A Practical Guide for Undergraduate and Postgraduate Students3,873 cited
  • 2013Big Data : The Management Revolution3,540 cited
  • 1974Organization Design: An Information Processing View2,447 cited
  • 2012Big data: the management revolution.2,326 cited
  • 2007Competing on Analytics: The New Science of Winning1,133 cited
  • 2013Data science and prediction855 cited
  • 2011Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?797 cited
  • 2011An overview of business intelligence technology763 cited
  • 1993The Organization of Decentralized Information Processing699 cited
  • 2007The Current State of Business Intelligence642 cited
  • 2013‘Datafication’: making sense of (big) data in a complex world423 cited
  • 1984Computing and organizations: what we know and what we don't know401 cited
  • 2014Big data at work: dispelling the myths, uncovering the opportunities399 cited
  • 2013

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Business Intelligence and Analytics
208 cited

Cited by

  • 2018Big Data aus ökonomischer Sicht: Potenziale und Handlungsbedarf11 cited