Research project is (co)funded by the Slovenian Research Agency and by Ministry of Finance.

Project

Member of University of Ljubljana

School of Economics and Business

Code

J5-7287

Project

Big Data Analytics: From Insights to Business Process Agility

Period

1.1.2016 - 31.12.2018

Range on year

0,94 FTE

Head

Aleš Popovič

Research activity

Social sciences/Economics

Research Organisation

sicris.si

Abstract

As highly competitive environments force firms to move more rapidly and boldly, and to experiment, firms are increasingly seeking ways to quickly respond to accelerating competition. Companies are thus advised to focus on the development of organizational agility as a strategic capability. A form of organizational agility that is of particular relevance to firms is business process agility where data-driven insights are regularly emphasized as drivers for innovation and agility.

The wealth of possibilities enabled by big data analytics will not be fully exploited without a deeper understanding of the organizational environment, management issues, technological capabilities, and human behavior. To advance the current state of the field, the proposed project is focused on investigating what must an organization do right in order to develop appropriate big data analytical capabilities so as to fully leverage the functionality of big data analytics in enabling the agility of its business processes. There are four key themes that frame the research:

  • The business value of big data and big data analytics.
  • Embeddedness as key mechanism for utilizing big data analytics for designing agile business processes..
  • The role of organizational characteristics in improving business process agility through big data analytics..
  • Developing big data analysis methods to fuel the increasing business process information needs.

The content area of business intelligence and analytics has been recognized within Horizon 2020 ICT work program as a very important, yet, still understudied area addressing the fundamental research problems related to the scalability and responsiveness of analytical capabilities for organizational performance.

Researchers

sicris.si

The phases of the project and their realization

Phase 1:

  • Development of a classification framework (December 2015 – January 2016): realized
  • Conduct the literature review (February 2016 – May 2016): realized
  • Classification of relevant journal articles (June 2016 – August 2016)
  • In-depth case analysis (September 2016 – November 2016)

Phase 2:

  • Analyzing existing literature on BDA embeddedness in organizational decision-making (December 2016 – February 2017)
  • Development of the conceptual model for evaluating the predominant antecedents of BDA embedded use (March 2017 – May 2017)
  • Case studies of Slovenian firms for refining the conceptual model (June 2017 – September 2017)
  • Empirical research and analysis of data from medium and large firms from the participating countries (October 2017 – March 2018)
  • Development of a framework for adopting BDA at process, firm, and intra-firm levels (April 2018 – December 2018)

Phase 3:

  • Case study of selected firms from participating countries (June 2016 – December 2016)
  • Development of the conceptual model for evaluating the characteristics of different cultures (January 2017 – April 2017)
  • Refinement of conceptual model through additional case studies (May 2017 – June 2017)
  • Empirical research and analysis of data from medium and large firms from the participating countries (July 2017 – January 2018)

Phase 4:

  • Improving existing predictive analytics methods (December 2015 – May 2016) - realized
  • Execution of real-data experiments (June 2016 – October 2016)
  • Developing new predictive analytics methods (June 2016 – March 2017)
  • Execution of real-data experiments (April 2017 – September 2017)
  • Refining the developed methods (October 2017 – April 2018)

Citations for bibliographic records

sicris.si

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