See, S.L. (2015). “Big Data Applications: Adaptive User Interfaces to Enhance Managerial Decision Making", in the Proceedings of the 17th International Conference on Electronic Commerce (ICEC 2015), 3-5 August 2015, Seoul, Korea. doi: 10.1145/2781562.2781574
Abstract:
Big data applications may present opportunity for business executives to make better informed decisions. However, how well such application can support and effect managerial decision making still remains a challenge. From a case study of a
traditional business in adopting new technology, it was found that an underlying issue that impeded effective and efficient managerial decision making lied in the human computer interaction process, and the design of the system user interface can be the culprit. With the rise of big data revolution, it seems that this underlying issue has still not been resolved for the applications to best support the executive users. This paper
therefore shares research findings and developments in the social media and human language technology, and suggests employing adaptive user interfaces for big data applications to better support managerial decision making.