Dynamic Pricing in a Reputation Brokered Agent Mediated Knowledge Marketplace

نویسندگان

  • Giorgos Zacharia
  • Alexandros Moukas
  • Petros Boufounos
  • Pattie Maes
چکیده

We study the microeconomic effects in a reputation brokered Agent mediated Knowledge Marketplace, when we introduce dynamic pricing algorithms. We study the market with computer simulations of multiagent interactions. In this marketplace, the seller reputations are updated in a collaborative fashion based on the performance of the user in the delegated tasks. We investigate the different equilibria reached, based on the level of intelligence of the selling agents, the level of price-importance elasticity of the buying agents and the level of unemployment in the marketplace. In this Agent mediated Knowledge Marketplace, buying agents try to maximize their owners' utilities based on the expected performance of the sellers (represented by their reputations) and the demanded compensations. Buyers configure their agents with their budget and time constraints and the importance of the specific task. The buying agents reveal only their time constraints and the descriptions of the tasks

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Economics of Dynamic Pricing in a Reputation Brokered Agent Mediated Marketplace

We describe an Agent Mediated marketplace, with dynamically changing reputation ratings. In this marketplace, the seller reputations are updated in a collaborative fashion based on the performance of the user in the delegated tasks. We study the market with computer simulations of multiagent interactions, where sellers learn how to price their services dynamically. We first present some simple ...

متن کامل

Cloud Market Maker: An automated dynamic pricing marketplace for cloud users

Cloud providers commonly incur heavy upfront set up costs which remain almost constant whether they serve a single or many customers. In order to generate a return on this investment, a suitable pricing strategy is required by providers. Established industries such as the airlines employ dynamic pricing to maximize their revenues. In order to increase their resource utilization rates, cloud pro...

متن کامل

Pricing Strategy in Online Retailing Marketplaces of Homogeneous Goods: Should High Reputation Seller Charge More?

There are two conflicting streams of research findings on pricing strategy: one is high reputation sellers should charge price premium, while the other is high reputation sellers should charge relatively low price. Motivated by this confliction, this study examines pricing strategy in online retailing marketplace of homogeneous goods. We conduct an empirical study using data collected from a do...

متن کامل

Reputation and pricing strategies in online market

Although pricing strategy in marketing is a crucial issue, there islittle literatureon the relationship between pricing and sellers’ reputation based on dynamic pricing data. Using data on Taobao.com, we compare pricing behaviors of two types of sellers, business sellers (T-Mall sellers) which have higher reputation and individual sellers (Tao sellers) which have relatively lower reputation. We...

متن کامل

Reputation Based Intelligent Agent Negotiation Frameworks in the e-Marketplace

E-commerce is expected to achieve high market penetration if coupled with the appropriate technologies. Mobile Agent Technology (MAT) may enhance the intelligence and improve the efficiency of systems in the e-marketplace. Such a highly competitive and extremely dynamic market should encompass mechanisms for enabling users (Buyers) to find the most appropriate service providers (Sellers), i.e.,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000