Call for Papers: Journal of Business Research – Special Issue on Big Data and Analytics in Technology and Organizational Resource

15 January 2016

Special Issue Objective:
the proposed special issue seeks to present novel solutions to challenging technological and organizational resource management issues. This special issue will share related practical experiences to benefit readers, and will provide clear evidence that Big Data Analytics is playing an ever-increasing important and critical role in technological and organizational resource management (strategically, tactically and operationally). Therefore, we would seek to invite scholars and practitioners to look at the ways and means to co-create and capture business value from Big Data e.g. in terms of new business opportunities, improved performance, and competitive advantage. The results will in turn reveal the implications of Big Data on technological and organizational resource management practices and strategies.

Recommended Topics:
The topics to be discussed in this special issue include but are not limited to the following:

      Big Data analytics-enabled business process innovation
      Big Data to identify and manage Organizational Resource Management
      Public Sector Big Data Challenges
      Big data evidence driven decision making
      Evaluating the impact of Big Data Analytics on the decision-making processes in information technological resource management
      Evaluating facilitators and inhibitors of Big Data Analytics adoption
      In-depth and longitudinal case studies on Big Data initiatives for enhancing technological and organizational resource management
      Organizational challenges related to Big Data Analytics
      Big Data approaches applied to improve cognitive performance and reduce the dark side of technology
      Application of Big Data Analytics for global development
      Security and privacy issues in Big Data Analytics
      Social Media, Cloud Computing and Big Data Analytics

    Further Information:
    Full version Call for Papers

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