Charity fundraising organizers increasingly attempt to predict the donations to their causes to maximize the effectiveness of their expenditures and achieve their “social good” objectives. Much of the scholarly work in cause-related fundraising uses organization-specific demographic, geographic, psychographic and behavioral information about its donors to forecast donation amounts. Instead of d...

Although predictable output is desirable for most businesses, agriculture is behind other industries in the adoption of information technology. While precision agriculture provides a technological means for obtaining desirable goals such as product quality, labor cost, and product mix and market requirements, the dairy industry relies on semi-controlled environments. This paper describes the us...

Nowadays, belief in the criteria and conditions of interactions with an organization to promote customer relationships is somehow tied to the organizational performance, and its final goal is of great importance. In the literature on organizational behavior, this belief is defined as the “psychological contract”. The intention of this mixed research is to identify and discover the contents of p...

M.Preethi Assistant professor, Department of Computer Science Madurai Sivakasi Nadars Pioneer Meenakshi Women’s College, Poovanthi Email:[email protected] M.Vijayalakshmi Assistant professor, Department of Computer Science Nadar Mahajana Sangam Sermathai Vasan College for Women, Madurai Email : [email protected] -------------------------------------------------------------------ABSTRACT...

With the availability of social network data, it has become possible to relate the behavior of individuals to that of their acquaintances on a large scale. While the similarity of connected individuals is well established, it is unclear whether behavioral predictions based on social data are more accurate than those arising from current marketing practices. We employ a communications network of...

Market basket analysis (also known as association-rule mining) is a useful method of discovering customer purchasing patterns by extracting associations or co-occurrences from stores’ transactional databases. Because the information obtained from the analysis can be used in forming marketing, sales, service, and operation strategies, it has drawn increased research interest. The existing method...

Web-based B2B exchanges have experienced a significant growth in recent years. While some B2B exchanges have met with huge success, several others have failed to live up to expectations. There is hardly any systematic study to assess the value of B2B marketplaces for participating firms. Our research employs an event-study methodology to investigate the effect of various industry, firm, and exc...

In this paper, we present an approach to easily define flexible and reliable services compositions. We introduce a new concept called transactional patterns to specify flexible and reliable composite Web services. A transactional pattern is a convergence concept between workflow patterns and advanced transactional models. It can be seen as a coordination pattern and as a structured transaction....