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Managing Change for Big Data Driven Innovation
16 references·2 citing·40 second hop
Managing Change for Big Data Driven Innovation (2015)Managing Change for Big Data Driven Innov…The Age of Big Data (2015)The Age of Big DataData quality management, data usage experience and acquisition intention of big data analytics (2014)Data quality management, data…Predictive Modeling With Big Data: Is Bigger Really Better ? (2013)Predictive Modeling With Big …Mining big data (2013)Mining big dataDisruptive technologies: Advances that will transform life, business, and the global economy (2013)Disruptive technologies: Adva…Data Science and its Relationship to Big Data and Data-Driven Decision Making (2013)Data Science and its Relation…Big Data: The Next Big Thing in Innovation (2013)Big Data: The Next Big Thing …Big Data: Issues and Challenges Moving Forward (2013)Big Data: Issues and Challeng…Big data: A review (2013)Big data: A reviewBig Data : The Management Revolution (2013)Big Data : The Management Rev…Motivating salespeople: what really works. (2012)Motivating salespeople: what …From Databases to Big Data (2012)From Databases to Big DataBusiness Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Big Data analytics (2012)Big Data analyticsThe pathologies of big data (2009)The pathologies of big dataDynamic capabilities: what are they? (2000)Dynamic capabilities: what ar…Environmental activism in the platform society: Spatial agency in digital maps (2023)Environmental activism in the…Disruptive technologies for advancing supply chain resilience (2023)Disruptive technologies for a…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. (2003)Beyond the hype: Big data concepts, methods, and analytics (2014)A survey on deep learning for big data (2017)The Dynamic Impact of Digital Economy on Carbon Emission Reduction: Evidence City-level Empirical Data in China (2022)Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? (2011)Big Data’s End Run around Anonymity and Consent (2014)Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective (2015)Human resources for Big Data professions: A systematic classification of job roles and required skill sets (2017)The data warehouse toolkit: practical techniques for building dimensional data warehouses (1996)Big Data and supply chain management: a review and bibliometric analysis (2016)Data colonialism through accumulation by dispossession: New metaphors for daily data (2016)Algorithms at Work: The New Contested Terrain of Control (2019)Firm Resources and Sustained Competitive Advantage (1991)Dynamic capabilities and strategic management (1997)Absorptive Capacity: A Review, Reconceptualization, and Extension (2002)Deliberate Learning and the Evolution of Dynamic Capabilities (2002)Firm resources and sustained competitive advantage (2004)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)Dilemmas in a general theory of planning (1973)The black swan: the impact of the highly improbable (2007)Big data: Issues, challenges, tools and Good practices (2013)Social big data: Recent achievements and new challenges (2015)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)Big data: The next frontier for innovation, competition, and productivity (2011)Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (2011)Big data analytics: a survey (2015)Big data: From beginning to future (2016)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)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)Research Priorities for Robust and Beneficial Artificial Intelligence (2015)The Impacts of Robotics, Artificial Intelligence On Business and Economics (2015)The future of employment: How susceptible are jobs to computerisation? (2016)
this work references cited by second hop

References

  • 2000Dynamic capabilities: what are they?14,950 cited
  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2013Big Data : The Management Revolution3,540 cited
  • 2013Data Science and its Relationship to Big Data and Data-Driven Decision Making1,569 cited
  • 2013Big data: A review1,426 cited
  • 2013Disruptive technologies: Advances that will transform life, business, and the global economy1,238 cited
  • 2013Big Data: Issues and Challenges Moving Forward956 cited
  • 2012Big Data analytics753 cited
  • 2014Data quality management, data usage experience and acquisition intention of big data analytics720 cited
  • 2009The pathologies of big data680 cited
  • 2013Mining big data677 cited
  • 2012Motivating salespeople: what really works.547 cited
  • 2012From Databases to Big Data509 cited
  • 2015The Age of Big Data307 cited
  • 2013Big Data: The Next Big Thing in Innovation251 cited
  • 2013Predictive Modeling With Big Data: Is Bigger Really Better ?175 cited

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Cited by

  • 2023Disruptive technologies for advancing supply chain resilience44 cited
  • 2023Environmental activism in the platform society: Spatial agency in digital maps4 cited