Transaction automation on the internet: open electronic markets, private electronic markets and supply network solutions

2004 ◽  
Vol 2 (6) ◽  
pp. 674 ◽  
Author(s):  
Matteo Di Biagi
Keyword(s):  
Electronic Markets ◽  
The Internet ◽  
Supply Network

Robust Logistics

2030 ◽  
2010 ◽  
Author(s):  
Rutger van Santen ◽  
Djan Khoe ◽  
Bram Vermeer
Keyword(s):  
Supply Chain ◽  
Power Supply ◽  
The Other ◽  
Central Issue ◽  
The Internet ◽  
Supply Network ◽  
Supply Networks ◽  
Trade Off ◽  
Industrial Companies ◽  
The Web

Our lives seem to revolve around schedules. If we don’t honor them with second-to-second precision, we miss our trains and our workplace rosters fall apart. We’re reliant on one another, and we constantly have to coordinate our schedules with those of others. Planning is crucial to our industry, too. If you unexpectedly run out of nuts and bolts, you can’t make any more cars, and the entire production process grinds to a halt. No manufacturer can afford that, so industrial companies employ large teams of specialists whose job is to ensure there are never any shortages of key parts. A worldwide logistic network has become our industry’s lifeblood. The central issue facing logistics is that of reliability. How do you keep your supply network intact? And how do you limit the consequences if it fails? These are questions that go far beyond the supply of nuts and bolts for new cars. Reliable logistics touches equally on the web of interactions that determine food production and the optimization of the Internet. It also extends to power supply, telecommunications, and workforce. Reliable networks make our society tick. But they face uncertainties of various kinds. That lends a broader significance to insights gained from industrial logistics, which offer us tools we can use to optimize networks and account for uncertainties in other areas as well. The reliability of a supply network is intimately bound up with the inventories you need to maintain. Businesses hold millions of dollars’ worth of supplies in their warehouses to make absolutely certain they never cease production due to a failure in the supply chain. So the key question is how large a stock do you need to hold of each component? Smart planning to hold down inventory levels in your warehouse generates immediate savings. On the other hand, you need enough stock to ensure continuity should anything go wrong. Optimizing storage is a common problem in supply networks. There is always a trade-off between the reliability of the network and the need for it to be profitable in an economic sense.

Agent-Based Dynamic Route Selection for Multilayer Electronic Supply Network

2011 ◽  
pp. 347-365
Author(s):  
Iraj Mahdavi ◽  
Namjae Cho ◽  
Hamed Fazlollahtabar ◽  
S. Hosna Shafieian ◽  
Nezam Mahdavi-Amiri ◽  
...  
Keyword(s):  
Programming Approach ◽  
The Internet ◽  
Route Selection ◽  
Supply Network ◽  
Dynamic Programming Approach ◽  
Trading Partners ◽  
Multi Agent ◽  
Intelligent Information ◽  
Real Time Information ◽  
Dynamic Route

The authors develop an intelligent information system in a multilayer electronic supply network. Using the internet for supply chain management (SCM) is a key interest for contemporary managers and researchers. It has been realized that the internet can facilitate SCM by making real time information available and enabling collaboration between trading partners. Here, the authors propose a multi-agent system to analyze the performance of the elements of a supply network based on the attributes of the information flow. Each layer consists of elements which are differentiated by their performance throughout the supply network. The proposed agents measure and record the performance flow of elements considering their web interactions for a dynamic route selection. A dynamic programming approach is applied to determine the optimal route for a customer in the end-user layer.

Agent-Based Dynamic Route Selection for Multilayer Electronic Supply Network

2012 ◽  
pp. 344-360
Author(s):  
Iraj Mahdavi ◽  
Namjae Cho ◽  
Hamed Fazlollahtabar ◽  
S. Hosna Shafieian ◽  
Nezam Mahdavi-Amiri ◽  
...  
Keyword(s):  
Programming Approach ◽  
The Internet ◽  
Route Selection ◽  
Supply Network ◽  
Dynamic Programming Approach ◽  
Trading Partners ◽  
Multi Agent ◽  
Intelligent Information ◽  
Real Time Information ◽  
Dynamic Route

The authors develop an intelligent information system in a multilayer electronic supply network. Using the internet for supply chain management (SCM) is a key interest for contemporary managers and researchers. It has been realized that the internet can facilitate SCM by making real time information available and enabling collaboration between trading partners. Here, the authors propose a multi-agent system to analyze the performance of the elements of a supply network based on the attributes of the information flow. Each layer consists of elements which are differentiated by their performance throughout the supply network. The proposed agents measure and record the performance flow of elements considering their web interactions for a dynamic route selection. A dynamic programming approach is applied to determine the optimal route for a customer in the end-user layer.

Electronic Markets and Multiagent Systems

2012 ◽  
pp. 56-71
Author(s):  
Alberto Sardinha ◽  
Ruy L. Milidiú
Keyword(s):  
Multiagent Systems ◽  
Research Work ◽  
Electronic Markets ◽  
Research Community ◽  
The Internet ◽  
Trading Agents ◽  
Intelligence Operations ◽  
Trading Agent ◽  
Research Questions ◽  
Delivery Options

As the Internet helps mediate millions of transactions in electronic markets, research work on automated trading agents is helping humans improve their trading objectives (e.g., finding lower prices and improving delivery options). This chapter presents an overview of the research work on trading agents in the context of the Trading Agent Competition. The Trading Agent Competition is an annual event where researchers are interested in the following research questions: (i) how to design trading agents, (ii) how to evaluate these trading agents, and (iii) how do trading agents affect electronic markets. This research community has produced many research results that are based on state-of-the-art techniques from artificial intelligence, operations research, statistics, and other relevant fields.

RANKING of the E-TRUST FACTORS in ELECTRONIC TRANSACTIONS in the CONTEXT of B2C E-COMMERCE (from the consumers point of view and by using Friedmans ranking method)

2014 ◽  
Vol 13 (8) ◽  
pp. 4767-4775
Author(s):  
Najafi Issa
Keyword(s):  
Electronic Markets ◽  
Point Of View ◽  
Security And Privacy ◽  
The Internet ◽  
Risk Environment ◽  
Online Trust ◽  
Traditional Markets ◽  
Building Trust ◽  
Electronic Transactions ◽  
Trust Factors

Today, a considerable amount of commercial transactions have appertained to the electronic transactions and electronic markets, aside from or versus the traditional markets, have attracted and collected a large number of buyers, distributers and sellers with the aim of exploring commercial opportunities for trading interactions and gaining more profit. The environment of electronic markets has inherited the risks and vulnerability for its infrastructure, i.e. the internet. This high risk environment complicates the process of building trust in transactions for transaction parties. The virtual and online nature of the new environment emphasizes the importance of the term online trust. The factors of online trust in different classes of e-commerce are different from each other depending on the type of transaction parties. In various studies the factors of trust in e-commerce transactions of type B2C have been identified and discussed. These factors can be classified in three groups of personal, corporate and trust context factors. In this research, after categorizing the electronic trust factors to five groups of personal, corporate, legal, contextual and infrastructural, and by collecting the necessary data from 10 e-commerce websites we have ranked the trust factors from the perspective of those websites customers. According to the opinions of the customers of those websites, the priority of electronic trust factors is mixed marketing factors and e-security and privacy policy factors.

Transaction Streams: Theory and Examples Related to Confidence in Internet-Based Electronic Commerce

2000 ◽  
Vol 15 (1) ◽  
pp. 3-16
Author(s):  
Brian Subirana ◽  
Patricia Carvajal
Keyword(s):  
Electronic Commerce ◽  
Opposite Effect ◽  
Insurance Industry ◽  
Electronic Markets ◽  
The Internet ◽  
Direct Link ◽  
Paper Briefly ◽  
Goods And Services

This paper analyses how transactions related to the exchange of goods and services are being performed on the Internet. The adoption of electronic markets in an industry has a disintermediation potential because it can create a direct link between the producer and the consumer (without the need for the intermediation role of distributors). Electronic markets lower the searches cost allowing customers to choose between more providers. This ultimately reduces both the costs for the customer and the profits for the producer. In this paper it is contended that electronic markets on the Internet have the opposite effect, resulting in an increase in intermediators. It introduces transaction streams which model how transactions are being conducted and helps explain the types of new intermediators that are appearing on the Internet. The mechanisms by which companies are exploring ways of extending transaction streams are also described. To illustrate the model, the paper briefly analyses transaction streams in the insurance industry and provides examples related to confidence in electronic commerce.

Agent-mediated electronic commerce: a survey

1998 ◽  
Vol 13 (2) ◽  
pp. 147-159 ◽  
Author(s):  
ROBERT H. GUTTMAN ◽  
ALEXANDROS G. MOUKAS ◽  
PATTIE MAES
Keyword(s):  
Artificial Intelligence ◽  
Electronic Commerce ◽  
Software Agents ◽  
Electronic Markets ◽  
The Internet ◽  
Buying Behavior ◽  
Future Directions ◽  
Artificial Intelligence Techniques ◽  
Marketing Models ◽  
Consumer Buying Behavior

Software agents help automate a variety of tasks including those involved in buying and selling products over the Internet. This paper surveys several of these agent-mediated electronic commerce systems by describing their roles in the context of a Consumer Buying Behavior (CBB) model. The CBB model we present augments traditional marketing models with concepts from Software Agents research to accommodate electronic markets. We then discuss the variety of Artificial Intelligence techniques that support agent mediation and conclude with future directions of agent-mediated electronic commerce research.

scholarly journals Trust in electronic markets

First Monday ◽  
1996 ◽  
Author(s):  
Joseph M. Reagle, Jr.
Keyword(s):  
Information Security ◽  
Electronic Commerce ◽  
Electronic Markets ◽  
The Internet ◽  
Specific Information

Relative to information security and electronic commerce, trust is a necessary component. Trust itself represents an evaluation of information, an analysis that requires decisions about the value of specific information in terms of several factors. Methodologies are being constructed to evaluate information more systematically, to generate decisions about increasingly complex and sophisticated relationships. In turn, these methodologies about information and trust will determine the growth of the Internet as a medium for commerce.

Electronic Data Interchange

2011 ◽  
pp. 397-402
Author(s):  
David Whiteley
Keyword(s):  
Value Chain ◽  
Business Processes ◽  
Electronic Markets ◽  
Electronic Data Interchange ◽  
Information And Communications Technology ◽  
The Internet ◽  
Electronic Data ◽  
Web Based ◽  
Data Interchange ◽  
Business To Consumer

The popular notion of e-commerce is a consumer interacting with a Web page to buy a book from Amazon or a ticket from Expedia. This is an important aspect of e-commerce, but the applications and technologies used in e-commerce are much wider than business-to-consumer e-commerce facilitated by the Internet and the World Wide Web. E-commerce is summarized by the phrase “doing business electronically,” and to that we should add the qualification that the business is conducted between the organization and some external party. E-commerce is defined by Wigland (1997, p. 5) as “…the seamless application of information and communications technology from its point of origin to its endpoint along the entire value chain of business processes conducted electronically and designed to enable the accomplishment of business goals.” This includes business-to-business transactions as well as business-to-consumer transactions, and does not presume the type of technology that is used to facilitate these transactions. There are authors that seek to define e-commerce in a way that limits the term to business transacted over the Internet, but this seems to be without merit: Did not transactions conducted using Minitel or Prodigy serve the same purpose as today’s Web-based transactions, and does not the development of m-commerce still come within the more general classifications of e-commerce and e-business? Whiteley (2000) suggests that e-commerce was facilitated by three technologies: electronic data interchange (EDI), electronic markets, and the Internet- (or e-shop) type facilities. EDI and electronic markets predate the e-shop model and, for the Encyclopedia of E-Commerce, E-Government, and Mobile Commerce, this article will concentrate on EDI.

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