International Journal of Managing Information Technology (IJMIT)

Kai Nie and Man Yu School of Economy and Trade, Hunan University, Changsha 410079, Hunan, China  ABSTRACT:  In this article, we analyze the application of options contract in the special commodity supply chain such as fresh agricultural products. This problem is discussed from the point of the retailer. When spot market and future market are both available, we discuss how the retailer chooses the optimal production. Furthermore, overconfidence is introduced to the supply chain of the fresh agricultural products, which has not happened before. Then，based on the overconfidence of the retailer, we explore how overconfidence affects the supply chain system under different circumstances. At last, we get the conclusion that different overconfidence level has different affection on retailer’s optimal ordering quantity and profit.  KEYWORDS:  fresh agricultural product; overconfidence; options contract; freshness; ordering strategy.  More Details: ...

Mohammad Khanbabaei and Mahmood Alborzi Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran  ABSTRACT  Decision tree modelling, as one of data mining techniques, is used for credit scoring of bank customers. The main problem is the construction of decision trees that could classify customers optimally. This study presents a new hybrid mining approach in the design of an effective and appropriate credit scoring model. It is based on genetic algorithm for credit scoring of bank customers in order to offer credit facilities to each class of customers. Genetic algorithm can help banks in credit scoring of customers by selecting appropriate features and building optimum decision trees. The new proposed hybrid classification model is established based on a combination of clustering, feature selection, decision trees, and genetic algorithm techniques. We used clustering and feature selection techniques to pre-p...

Mourine Achieng and Ephias Ruhode Cape Peninsula University of Technology, Cape Town, South Africa Abstract  Literature has shown that countries such as Brazil and India have successfully implemented electronic voting systems and other countries are at various piloting stages to address many challenges associated with manual paper based system such ascosts of physical ballot paper and other overheads, electoral delays, distribution of electoral materials, and general lack of confidence in the electoral process. It is in this context that this study explores how South African can leverage the opportunities that e-voting presents. Manual voting is often tedious, non-secure, and time-consuming, which leads us to think about using electronic facilities to make the process more efficient. This study proposes that the adoption of electronic voting technologies could perhaps mitigate some of these issues and challengesin the process improving the electoral process. The study use...

Xin Zhou Department of Economic Engineering, Kyushu University, Fukuoka 812-8581, Japan  ABSTRACT We present an improved SPFA algorithm for the single source shortest path problem. For a random graph, the empirical average time complexity is O(|E|), where |E| is the number of edges of the input network. SPFA maintains a queue of candidate vertices and add a vertex to the queue only if that vertex is relaxed. In the improved SPFA, MinPoP principle is employed to improve the quality of the queue. We theoretically analyse the advantage of this new algorithm and experimentally demonstrate that the algorithm is efficient.  KEYWORDS  SPFA; single source; shortest path; queue; MinPoP principle   More Details http://airccse.org/journal/ijmit/papers/6114ijmit02.pdf http://airccse.org/journal/ijmit/vol6.html

Ali AlSoufi1 and Hayat Ali2 1Department of Information Systems, University of Bahrain, Bahrain 2 Department of Information Systems, University of Bahrain, Bahrain  ABSTRACT Mobile applications have been rapidly changing the way business organizations deliver their services to their customers and how customers can interact with their service providers in order to satisfy their needs. The use of mobile applications increases rapidly, and has been used in many segments including banking segment. This research aims at extending the Technology Adoption Model (TAM) to incorporate the role of factors in influencing customer’s perception towards M-banking adoption. Furthermore, the extended TAM model was evaluated empirically to measure its impact on M-banking adoption in of Bahrain. The model was evaluated using a sample survey of 372 customers. The results reveal that the intention to adopt mobile banking is mainly affected by specific factors which are: Perceived Usefulness ...