R P Sundarraj

Cloud computing has emerged as a key information technology and systems model over the last few years. Major organizations have developed and delivered cloud computing solutions and continue to do so. Consequently, a number of strides were made in the advancement of technology leading to a growth in the adoption of cloud computing. The growing recognition of cloud computing services necessitates a focus on the business aspects of cloud. However, we feel that research in this area is scant. To this effect, we performed a systematic review of cloud computing literature and reviewed 2891 abstracts and 157 articles published until the year 2012. Based on the findings of the review, we establish a framework for organising the extant research on cloud business aspects. Using the framework, we find cloud economics to be the most widely researched business aspect. In this paper, we provide a detailed review of the application of decision models in the context of cloud economics, with a specific focus on pricing and markets. The proposed framework and review results serve as a reference to IS researchers and practitioners to understand decision situations, models and opportunities. © Springer International Publishing Switzerland 2014.

In electronic negotiations, buyers and sellers are represented by negotiating agents and it becomes imperative for the negotiating agents to acquire user's preferences to be able to negotiate better. In this paper we present the design of a web based engine to capture a buyer's choices over time through a preference elicitation tool known as Time - Tradeoff sequence(TTO Sequence). Preferences thus elicited are used by buyer's electronic agents to negotiate price and date of movie tickets with cineplex owners. Further, we illustrate with an example that negotiation outcome is affected by the timepreference of the buyer. © Springer International Publishing Switzerland 2014.