Functional Data Analysis in Electronic Commerce Research

This paper describes opportunities and challenges of using functional data analysis (FDA) for the exploration and analysis of data originating from electronic commerce (eCommerce). We discuss the special data structures that arise in the online environment and why FDA is a natural approach for representing and analyzing such data. The paper reviews several FDA methods and motivates their usefulness in eCommerce research by providing a glimpse into new domain insights that they allow. We argue that the wedding of eCommerce with FDA leads to innovations both in statistical methodology, due to the challenges and complications that arise in eCommerce data, and in online research, by being able to ask (and subsequently answer) new research questions that classical statistical methods are not able to address, and also by expanding on research questions beyond the ones traditionally asked in the offline environment. We describe several applications originating from online transactions which are new to the statistics literature, and point out statistical challenges accompanied by some solutions. We also discuss some promising future directions for joint research efforts between researchers in eCommerce and statistics.Comment: Published at http://dx.doi.org/10.1214/088342306000000132 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

An Open Source Based Data Warehouse Architecture to Support Decision Making in the Tourism Sector

In this paper an alternative Tourism oriented Data Warehousing architecture is proposed which makes use of the most recent free and open source technologies like Java, Postgresql and XML. Such architecture's aim will be to support the decision making process and giving an integrated view of the whole Tourism reality in an established context (local, regional, national, etc.) without requesting big investments for getting the necessary software.Tourism, Data warehousing architecture

Multiattribute electronic procurement using goal programming

One of the key challenges of current day electronic procurement systems is to enable procurement decisions transcend beyond a single attribute such as cost. Consequently, multiattribute procurement have emerged as an important research direction. In this paper, we develop a multiattribute e-procurement system for procuring large volume of a single item. Our system is motivated by an industrial procurement scenario for procuring raw material. The procurement scenario demands multiattribute bids, volume discount cost functions, inclusion of business constraints, and consideration of multiple criteria in bid evaluation. We develop a generic framework for an e-procurement system that meets the above requirements. The bid evaluation problem is formulated as a mixed linear integer multiple criteria optimization problem and goal programming is used as the solution technique. We present a case study for which we illustrate the proposed approach and a heuristic is proposed to handle the computational complexity arising out of the cost functions used in the bids

WILLINGNESS TO PAY VERSUS EXPECTED CONSUMPTION VALUE IN VICKREY AUCTIONS FOR NEW EXPERIENCE GOODS

Vickrey auctions are commonly used to elicit willingness to pay for new food products. This paper shows that in a multi-period context, it can be optimal to bid higher than the expected consumption value for new experience goods to obtain information about the quality of the goods. The degree of value uncertainty, the purchasing frequency, and expected future market prices affect both the expected value of the quality information and the weakly dominant bidding strategy in Vickrey auctions for new experience goods. Keywords: experience goods, value of information, Vickrey auctions.experience goods, value of information, Vickrey auctions., Consumer/Household Economics,

The Price of "Man" and "Woman": A Hedonic Pricing Model of Avatar Attributes in a Synthetic World

This paper explores a unique new source of social valuation: a market for bodies. The internet hosts a number of large synthetic worlds which users can visit by piloting a computer-generated body, known as an avatar. Avatars can have an asset value, in that users can spend time to increase their skills; these asset values can be directly observed in online markets. Auction data for avatars from the synthetic fantasy world of EverQuest are used here to explore a number of questions, especially those involving the relative value of male and female avatars. In EverQuest, about 20 percent of the avatar population is female, and there are no sex-based differences in avatar capabilities. Many avatars (about one-fourth to one-fifth of the population) are cross-gendered, being piloted by a person of the opposite sex. Nonetheless, relations between avatars are gender-based, and include chivalry, dating, and sex. Female avatars tend to be concentrated in highly sexualized Human and Elven races, with very few being present among such aesthetically-challenged races as Ogres and Trolls. Hedonic analysis of the auction price data suggests that gender labels are a less important determinant of avatar values than the ‘level,’ a game-design metric that indicates the overall capabilities of the avatar. Thus, ability seems more important than sex in determining the value of a body. Nonetheless, among comparable avatars, females do sell at a significant price discount. The average avatar price is 333 dollar; the price discount for females is 40 to 55 dollar, depending on methods. The discount may stem from a number of causes, including discrimination in Earth society, the maleness of the EverQuest player base, or differences in well-being related to male and female courtship roles. We do know, however, that these differences cannot be caused by sex-based differences in the abilities of the body, since in the fantasy world of Norrath, there are none.synthetic worlds, internet auctions avatar attributes, sexual discrimination

Creative Thinking and Modelling for the Decision Support in Water Management

This paper reviews the state of art in knowledge and preferences elicitation techniques. The purpose of the study was to evaluate various cognitive mapping techniques in order to conclude with the identification of the optimal technique for the NetSyMod methodology. Network Analysis – Creative System Modelling (NetSyMod) methodology has been designed for the improvement of decision support systems (DSS) with respect to the environmental problems. In the paper the difference is made between experts and stakeholders knowledge and preference elicitation methods. The suggested technique is very similar to the Nominal Group Techniques (NGT) with the external representation of the analysed problem by means of the Hodgson Hexagons. The evolving methodology is undergoing tests within several EU-funded projects such as: ITAES, IISIM, NostrumDSS.Creative modelling, Cognitive mapping, Preference elicitation techniques, Decision support