Editor’s Introduction

Ting-Peng Liang

Abstract


 Although business intelligence has been a research area in information systems for a long time, it becomes a bandwagon recently after combining with the ever-increasing online data and big data analytics. It allows managers to uncover useful knowledge from a large volume of dynamic data. I think one major reason for such a movement is that scholars can analyze real world behavioral data, rather than keep predicting behavioral intention. I am not saying intention is not useful, but it is interesting if we can go beyond intention to see more real behavior.

In this issue, we focus on the topic of business intelligence and analytics. Two papers in the special focused section are selected from the business intelligence and analytics track of PACIS 2014 in Chengdu, China. Thanks to the guest editors, Roger Chiang, Ze Shan, and Harry Wang for their hard work in selecting and reviewing those papers in a short-time period. The quality of PACIS papers have substantially improved and PAJAIS would like to publish more high-quality research papers from the conference.

The third paper by Green, et al. proposes an augmented information success model. The DeLone and McLean’s IS Success Model is widely used in information systems research. In this paper, the authors augment the model with three variables: business value, institutional trust, and future readiness. The augmented model is validated in applying toa logistic tracking system.


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