From Big Data to Big Performance – Exploring the Potential of Big Data for Enhancing Public Organizations’ Performance. A Systematic Literature Review | Zendy

Katharina Guirguis | Zendy

Open Access

From Big Data to Big Performance – Exploring the Potential of Big Data for Enhancing Public Organizations’ Performance. A Systematic Literature Review

Author(s) -

Katharina Guirguis

Publication year - 2020

Publication title -

yearbook of swiss administrative sciences

Language(s) - English

Resource type - Journals

ISSN - 2632-9255

DOI - 10.5334/ssas.140

Subject(s) - big data , dimension (graph theory) , organizational performance , process (computing) , systematic review , public sector , knowledge management , resource based view , resource (disambiguation) , data science , computer science , business , political science , marketing , data mining , competitive advantage , medline , computer network , mathematics , pure mathematics , law , operating system

This article examines the possibilities for increasing organizational performance in the public sector using Big Data by conducting a systematic literature review. It includes the results of 36 scientific articles published between January 2012 and July 2019. The results show a ten-dency to explain the relationship between big data and organizational performance through the Resource-Based View of the Firm or the Dynamic Capabilities View, arguing that perfor-mance improvement in an organization stems from unique capabilities. In addition, the results show that Big Data performance improvement is influenced by better organizational decision making. Finally, it identifies three dimensions that seem to play a role in this process: the hu-man dimension, the organizational dimension, and the data dimension. From these findings, implications for both practice and theory are derived.

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