Applying triple loop learning to planning electronic trading systems

Previous research has highlighted the need to examine the appropriateness of existing information systems methods in the context of electronic business environments. This paper argues for a re-examination of the suitability of current planning practices in light of the complexity of developing electronic business systems. In particular, the paper illustrates that planning and developing business-to-business electronic trading systems (ETS) is fraught with difficulties associated with the priorities and power of individual actors in participant organisations. The authors discuss triple loop learning (TLL), an approach that deals with diverse requirements and power issues, and argue that it may assist in overcoming some of the problems identified. The study aims to analyse the theoretical usefulness of the concepts of triple loop learning in the context of planning inter-organisational ETS. Using the data gathered from case studies of three inter-organisational networks, the authors argue that approaches associated with TLL can offer insight into managing inter-organisational systems complexities, and can thereby enhance planning methods for ETS.