Abstract:
With the advent of e-systems; business and consumers have access to a plethora of information which makes the decision making process more complex. The overwhelming information flow makes it extremely difficult for decision makers to analyze the available data and make precise decisions. Under such an information intensive online environment, businesses need to make real time intelligent decisions in order to stay economically and commercially viable. Multi agent systems have the inherent ability to facilitate provision of an adequate decision support mechanism in an e-business setting. These multi –agent decision support systems are of particular assistance in processing large amounts of data, filtering out irrelevant information and eliminating cognitive biases. In this study, we attempt to explore the existing decision support mechanisms facilitating the e-business environment with respect to B2B and B2C segments. Several models have been proposed and implemented to assist decision support in e-systems. We attempt to identify possible weaknesses in these models and pin point future research areas that would provide an opportunity for improved decision support mechanisms in e-systems.
1. INTRODUCTION
1.1 Agents, Distributed Artificial Intelligence and Multi-Agents
With the advent of computer systems, there has been a significant progress in terms of framing online transactions processing systems. These systems are programmed to carry out specific activities which are restricted to facilitation of online transaction processing only and do not assist in the decision making process as they lack the “intelligence” which is the basic essence of the modern decision support systems. OLTP systems only help autom...
... middle of paper ...
...ven Markets: Efficient Execution", in Proceedings of IEEE Conference on Electronic Commerce, Munich, Germany, July 19-22, 2005.
Schurr , N Marecki, J (2010) “The Future of Disaster Response: Humans Working with Multi Agent Teams using DEFACTO” American Association for Artificial Intelligence
Maximilen, E (2005) “Muti Agent Systems for Dynamic Web Services Selection” In Proceedings of 1st Workshop on Service-Oriented Computing and Agent-Based Engineering, Retrieved Feb 28, 2010 from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.67.2076
Imene, B, Noria, T (2009), “multi agent web based decision support system for a manufacturing system”. Retreived March 18, 2010 from http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-547/86.pdf
Mellon,C (2009) “Intelligent Software agents” Retrieved June 01 from http://www.cs.cmu.edu/~softagents/multi.html
3. Mark E. Nissen. Commerce Model & the Intelligent Hub. CommerceNet CALS Working Group Presentation. November 1995
Define the three primary types of decision-making systems, and explain how a customer of Actionly might use them to find business intelligence.
Improve decision making on customers and sales orders based on the information provided by the new system.
E-commerce is about two decades old, yet due to its fascinating dimensions, it remains a challenging area for researchers and professionals.
Everyone has heard stories of AI taking over the world, like The Matrix, but not many have heard how it can help our world. There are two main types of AI – rule-based and learning. However, learning systems require decades of effort and several million lines of code just to produce one that is semi-believable. On the other hand, current solutions for rule-based systems are clunky and slow and usually outdated. These systems also focus on content retrieval. My project aimed to create a new, scalable framework for general purpose use. The framework would allow for dynamic rules, which are rules that allow for commands to be executed. My project also aimed to create layers on top of the framework that would provide sample implementations of this.
Decision making refers to the process of finding and selecting options according to the priorities and values of the person making the decision. Since there are many choices involved, it is important to identify as many options as possible so as to pick the option that best fits a company’s target, goals, values and vision. Due to the integral role of decision making in company growth and financial progress, many firms such as Amazon.com and EBay are pumping in huge investments in business intelligence systems, which are made up of certain technological tools and technological applications that are created for the purpose of facilitating improved decision making process in business. In this paper, I take a critical look at Decision Support Systems and how they affect organizational Decision making.
OTRS is a web application and provides separately user-friendly interfaces for customers and agents. The interface is available in several modern web Browsers including mobile platforms. The web interface is allowed to customize to another theme or skin. OTRS has customizable and powerful agent dashboard design that agent could add his own ticket overview and check ticket statistics diagrams on it. Besides, report engine could be extended with a fem statistics and scheduling options. Process management allows user to define own ticket-based processes that ticket could automatic transfer to next state with minimum manual operation. OTRS has built-in rights management that could be extended with fine-grained access control lists (ACLs). 30s language support and multi-choice time zones make it adapts international operating environment well.
Firstly we will be looking at the advantages of combined search and rescue teams for logistical planning in a typical EMS system. This will involve many different companies and different skill levels which could make the planning process a lot easier since there will be a big variety of expertise and the input for the planning will be much easier. Logistically the involvement of multiple agencies will also prov...
Information system would be flexible to supply alternate ways of processing data and assigning rate to different decision variables. Information systems should include not only the relevant factors that can be quantified but also the factors that cannot be quantified. Information systems should be flexible enough to absorb the inevitable changes in the information needs of business.
Web Services are transforming and simplifying the way the enterprise thinks about integrating applications, information and business processes. They represent a new way to link systems together and automate business processes, eliminating much of the complexity and expense associated with traditional enterprise integration technologies. More importantly, Web services will be a catalyst for Service Oriented Architectures, enabling the real time enterprise by accelerating the flow of information and decisions across the organization.
Business today is inextricably intertwined with technology, from the smallest home office, to a multinational corporation with multiple monolithic legacy application. It is impossible to be in business today without confronting the issues of technology. The way we do business today is different than 30 years ago. Technology has evolved around the areas of telecommunication, travel, stock market, shipping even around our daily lives. E-commerce a system by which people can buy, sell and deal without even seeing the person on the other side has taken a front seat in improving the economy of countries around the world. Technology today has made it possible for monetary institutions to help locate the customers resources and help solve their problems at any given time through online banking. The Internet, a boon to all business, is playing a part of a catalyst; it links millions of customers to its suppliers and vice versa due to this, manufactures are able to cut the role of middlemen and are able to deal with the customers, giving them the ability for direct input from the customers about their choices and views of their product. The busi...
According to the author, e-business is conducting business on the internet by not only buying and selling goods, but also servicing clients and collaborating with business partners by using all the human technologies.
The transportation industry (airline, railway, bus transit, automobile rental agencies) has undergone enormous changes in the way its customers purchase tickets and place reservations. The continuing popularity in e-commerce combined with the widespread increase in the number of people with internet access has caused an explosion in the number of...
Although such systems may share similar architectural patterns and goals, they also possess some differences. While DSS definition may be more relevant for modern decision support and automation, it is reasonable to begin with the review of ES, which pioneered decision support at the beginning of artificial intelligence based analysis.
The first online banking system was created in 1980 in New York, and was adopted by four main banks; Citibank, Chemical, Manufacturers Hanover and Chase Manhattan. The sector needed an innovation in banking systems because of growing consumer demand for service improvements as well as fear of losing market share. In the beginning, online banking was treated at private customers and small companies, to help customers have easier access to their bank accounts, however, now it achieves a global reach through the population. (Cronin 1997) In today’s world, electronic business (E-business) is very important especially for the banking system, plays a fundamental role in online banking (Nasri 2011). A true definition of online banking is difficult, because this system is connecting with different services which are constantly evolving. Access to online banking is possible through the internet, phone or even television. (Daniel, 1999; Mols, 1998). This ‘open system’ is available to the customers twenty four hours a day, seven days a week. This is a multi-level organized system, which helps people pay bills, check credit cards or even arrange mortgages without leave their houses. (Singer 2012)