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Data-Oriented Business Models: Gaining Competitive Advantage

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  • Peter Geczy

Abstract

Data has been widely regarded as a new treasure throw for contemporary organizations. Information technology sector has been experiencing a major shift towards data orientation. A recent explosion of digital data has significantly influenced a number of other economic sectors in developed economies. Exponential growth of data is expected to continue in a foreseeable future. Capitalizing on this trend is gradually becoming a necessity for contemporary businesses. Extracting value from data is a substantial challenge. Data acquisition is the starting point. Efficient processing of collected data is the next stage. Suitably processed data is used for designing data products and services. At each stage, there are significant opportunities for value creation and monetization¡ªthe core aspects of business models. Data-oriented activities also provide opportunities for gaining competitive advantage. Despite the growing importance of data-driven innovation, there is a considerable absence of studies addressing data-oriented business models. We explore the essential elements and enablers of viable data-oriented business models and pathways to competitive advantage

Suggested Citation

  • Peter Geczy, 2018. "Data-Oriented Business Models: Gaining Competitive Advantage," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 12(2), pages 25-36.
    • Handle: RePEc:ibf:gjbres:v:12:y:2018:i:2:p:25-36
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    References listed on IDEAS

    as
    1. Zott, Christoph & Amit, Raphael & Massa, Lorenzo, 2010. "The business model: Theoretical roots, recent developments, and future research," IESE Research Papers D/862, IESE Business School.
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    More about this item

    Keywords

    Data-Oriented Business Models; Data-Driven Innovation; Data Economy; Data Engineering; Data Products; Data Services; Actionable Knowledge;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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