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Publications
Publications
  • 2019
  • Article
  • Journal of Business Research

Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights

By: Maryam Ghasemaghaei and Goran Calic
  • Format:Electronic
  • | Pages:16
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Abstract

Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on firm innovation competency (i.e., exploitation competency and exploration competency), mediated through data-driven insight generation (i.e., descriptive insight, predictive insight, and prescriptive insight). Findings show that while data velocity, variety, and veracity enhance data-driven insight generation, data volume does not impact it. Additionally, results of the post hoc analysis indicate that while descriptive and predictive insights improve innovation competency, prescriptive insight does not affect it. These results provide interesting and unique theoretical and practical insights.

Keywords

Analytics and Data Science; Innovation and Invention; Learning

Citation

Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.
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More from the Authors
  • Seeing the Whole: Configurational Cognition and New Venture Resource Mobilization By: Goran Calic, François Neville, Santi Furnari and C. S. Richard Chan
  • A Consensus Definition of Creativity in Surgery: A Delphi Study Protocol By: Alex Thabane, Tyler McKechnie, Phillip Staibano, Vikram Arora, Goran Calic, Jason W. Busse, Sameer Parpia and Mohit Bhandari
  • Characteristics of Creative Individuals: An Umbrella Review Protocol By: Alex Thabane, Tyler McKechnie, Phillip Staibano, Goran Calic, Colin Kruse, Jason W. Busse, Samee Parpia and Mohit Bhandari
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