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Big data: definition, characteristics, life cycle, applications, and challenges
12 references·2 citing·38 second hop
Big data: definition, characteristics, life cycle, applications, and challenges (2020)Big data: definition, characteristics, li…Big data adoption: State of the art and research challenges (2019)Big data adoption: State of t…Data learning from big data (2018)Data learning from big dataBig data, big decisions: The impact of big data on board level decision-making (2018)Big data, big decisions: The …Big Data technologies: A survey (2017)Big Data technologies: A surv…Big Data and security policies: Towards a framework for regulating the phases of analytics and use of Big Data (2017)Big Data and security policie…Addressing barriers to big data (2017)Addressing barriers to big da…Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results (2016)Big Data in Practice: How 45 …A Survey of Big Data Analytics in Healthcare and Government (2015)A Survey of Big Data Analytic…A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology (2015)A Brief Introduction on Big D…Big Data for Dummies (2013)Big Data for DummiesBig Data analytics (2012)Big Data analyticsBig data: The next frontier for innovation, competition, and productivity (2011)Big data: The next frontier f…Reviewing big data's role in the digital economy: USA and Africa focus (2024)Reviewing big data's role in …A method for constructing a dataset to reveal the industrial behaviour of big data (2020)A method for constructing a d…Big data: the management revolution. (2012)Big Data : The Management Revolution (2013)Big data, knowledge co-creation and decision making in fashion industry (2018)Building dynamic capabilities by leveraging big data analytics: The role of organizational inertia (2020)Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda (2020)Beyond the hype: Big data concepts, methods, and analytics (2014)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)A survey towards an integration of big data analytics to big insights for value-creation (2018)Disaster resilience through big data: Way to environmental sustainability (2020)Absorptive Capacity: A New Perspective on Learning and Innovation (1990)Qualitative Data Analysis: An Expanded Sourcebook (1994)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Big Data Analytics in Building the Competitive Intelligence of Organizations (2020)Corporate social responsibility, Green supply chain management and firm performance: The moderating role of big-data analytics capability (2020)Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies (2020)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Task-Technology Fit and Individual Performance (1995)The impact of big data on firm performance in hotel industry (2019)Social media rumor refutation effectiveness: Evaluation, modelling and enhancement (2020)Value creation for realising the sustainable development goals: Fostering organisational adoption of big data analytics (2020)From Databases to Big Data (2012)Big data: Issues, challenges, tools and Good practices (2013)Customer engagement in a Big Data world (2017)Big data analytics for healthcare industry: impact, applications, and tools (2018)Big Data analytics in oil and gas industry: An emerging trend (2018)Big Data: A Survey (2014)Big Data: Survey, Technologies, Opportunities, and Challenges (2014)What is big data? A consensual definition and a review of key research topics (2015)Artificial intelligence in operations management and supply chain management: an exploratory case study (2021)Enterprise Architecture: Informed Steering of Enterprises in Motion (2014)Big data for open innovation in SMEs and large corporations: Trends, opportunities, and challenges (2017)Intellectual capital in the age of Big Data: establishing a research agenda (2017)Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change (2019)Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study (2022)State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary (2023)Data Pipeline Management in Practice: Challenges and Opportunities (2020)Data analytics in small and mid-size enterprises: Enablers and inhibitors for business value and firm performance (2021)How does the digital transformation of corporates affect green technology innovation? An empirical study from the perspective of asymmetric effects and structural breakpoints (2023)
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References

  • 2011Big data: The next frontier for innovation, competition, and productivity5,202 cited
  • 2017Big Data technologies: A survey994 cited
  • 2012Big Data analytics753 cited
  • 2015A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology413 cited
  • 2017Addressing barriers to big data301 cited
  • 2015A Survey of Big Data Analytics in Healthcare and Government295 cited
  • 2018Big data, big decisions: The impact of big data on board level decision-making239 cited
  • 2019Big data adoption: State of the art and research challenges187 cited
  • 2013Big Data for Dummies178 cited
  • 2016Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results125 cited
  • 2017Big Data and security policies: Towards a framework for regulating the phases of analytics and use of Big Data71 cited
  • 2018Data learning from big data56 cited

Cited by

  • 2024Reviewing big data's role in the digital economy: USA and Africa focus11 cited
  • 2020A method for constructing a dataset to reveal the industrial behaviour of big data4 cited

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