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Tourism which is regarded as information intensive sector is the mostly affected sector by technology revolution and its traditional trading structures have been totally changed. The adoption and use of e-commerce in tourism sector is regarded as a tool to widen market reach and improve efficiency and effectiveness of business operations. The degree of impact of e-commerce use on business performance depends on the intensity of its usage in organization's key value-chain activities. However, the intensity of e-commerce use is influenced by technological, organizational and environmental (TOE) contextual factors. Based on TOE model and the existing literature on post-adoption use of e-commerce, a set of factors that affect the intensity of e-commerce use in Tanzanian tourism sector was identified. A survey was conducted with 181 Tanzanian tourism firms that have already adopted e-commerce and structural equation modeling (SEM) was used to analyze the data. The findings indicated that the scope of e-commerce use has a positive impact on business performance in terms of improved internal processes, competitive position, customer service delivery, overall business performance and increased customer base. The scope of e-commerce use is affected positively by pressure intensity and perceived benefits and negatively by barriers to e-commerce use. The findings have highlighted key areas that require immediate actions from both the government and private sector in order to promote a successful growth of e-commerce in the country.

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Obtaining exact blocking probabilities for tandem queues with finite capacities is not a trivial problem. In this paper, we propose a computational approximation method using max-plus algebra for computing blocking probability in a Poisson-driven 2-node tandem queue with finite capacities and constant service times. The blocking probability of a finite-capacity queueing system can be obtained from either the tail probability of stationary waiting time or the difference between two expected stationary waiting times at the first node of the corresponding extended 3-node tandem queue. The computational results in this study show that the proposed approach provides a good approximation of the blocking probability, and in particular, it works well under moderately to heavily loaded situations. The proposed approach is not limited to a particular blocking policy, system structure, or service time; hence, it is applicable to general queues with finite buffer capacities and various blocking policies.

The importance of evaluation of farming performance has been increasing with the progress of farm size and capitalization, and with the introduction of the concept of the 6th industry to agriculture. In this research, ROIC(Return on Invested Capital) tree technique was examined as a new method for analyzing operations performance of supply chain for farm produce. Current practices of production and distribution of blueberry, model crop, were investigated and ROIC tree for blueberry has been set up from the survey of the supply chain. Then, it was simulated with real values collected from the participants in the supply chain and the previous studies using a spreadsheet program. The resulting ROIC value was compared with those of other industries and the conventional performance analysis method. Features of the evaluation technique were identified and it was proposed how to apply it to agricultural field in the future.