Financial Analysis and Expert Systems

1993 ◽  
Vol 8 (3) ◽  
pp. 184-194 ◽  
Author(s):  
A. Birts ◽  
L. Mcaulay ◽  
M. King

Financial analysis expert systems have been developed but there is little evidence to suggest that such expert systems are as widely used in the financial analyst community as other information technology products. The research findings presented here suggest that one explanation for this non-use of expert systems may be that users do not have a need to use the existing technology. We arrived at this conclusion by researching the rich picture of the task and the needs of a small number of financial analysts. In so doing, we were able to develop insights into the topic area which to our knowledge are new. Our analysis may confirm a need to re-orientate expert systems development. Thus, the selection and use of research methods which are geared to shedding light on users’ needs may be valuable to practitioners, in developing product development strategies, and to researchers, in casting new light on their topic areas.

Author(s):  
Adekunle Okunoye

Information technology (IT) transfer to developing countries is often affected by various problems. Most available application packages are too expensive and were originally designed to work in a developed economy. The international features of the application packages reduced the problems associated with long duration and huge cost of customization. Nevertheless, there are still some processes that require many peculiar requirements that customization of the off-the-shelf applications cannot meet. With the rapid changes in IT and the business environment, it is becoming essential to rely on information system that can be sustained and upgraded without much cost in order to meet those changes. This case describes a project for the development of such a system. We present the background of the IT company and an Islamic bank as the customer. We highlight the circumstances that led to their decision to develop the systems locally. We discuss the facts that surround the development of the system: the outsourcing decision made by the African Arab Islamic Bank (AFAIB), the project management and systems development at Technology Associates Ltd. (TA), and other information system issues related to developing countries and their effect on the project’s success.


Author(s):  
Brian Wampler ◽  
Stephanie McNulty ◽  
Michael Touchton

Latin America is PB’s birthplace and the region where it was first widely adopted. PB currently exists in almost every country of this region of the world. This chapter documents PB development in Brazil, its spread from Brazil to other countries as well as PB’s transformation since the 1990s, when it changed from a social justice program to a policy tool that promotes citizen empowerment and community mobilization. Latin America also led the way with the first mandated programs, as Peru’s national government was the first country in the world to require that all subnational governments adopt PB. Latin American PB programs are among the most studied in the world, which means that solid research findings identify when and where PB produces significant social and political change. Most importantly, there are many comparative, longitudinal, and large-N studies from Brazil that demonstrate that PB is generating positive change. But, research on other countries, such as Peru and Mexico, suggest that PB’s impact is much weaker in those countries. The chapter provides a summary of the rich body of evidence that has emerged since 1989, and describes PB in Brazil, Peru, El Salvador, and Mexico.


Author(s):  
Shalin Hai-Jew

Various research findings suggest that humans often mistake social robot (‘bot) accounts for human in a microblogging context. The core research question here asks whether the use of social network analysis may help identify whether a social media account is fully automated, semi-automated, or fully human (embodied personhood)—in the contexts of Twitter and Wikipedia. Three hypotheses are considered: that automated social media account networks will have less diversity and less heterophily; that automated social media accounts will tend to have a botnet social structure, and that cyborg accounts will have select features of human- and robot- social media accounts. The findings suggest limited ability to differentiate the levels of automation in a social media account based solely on social network analysis alone in the face of a determined and semi-sophisticated adversary given the ease of network account sock-puppetry but does suggest some effective detection approaches in combination with other information streams.


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