Towards convenient customer-driven group-buying: an intelligent centralised P2P system

Chen, Tin-Chih

doi:10.1504/ijtip.2012.047375

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…In the buyers' coalition scheme proposed in [10], each buyer places a sealed bid for all possible sets of items with reservation prices, and after a deadline, the mechanism allocates bundles of items using the VCG, the VickreyClarkeGroves auction. Group buying was proposed also for categories of products [11], and buyers' web browsing history can be proficiently used to recommend products [12]. The work in [13] takes into account issues related to locations of buyers and sellers and defines a novel buyer coalition scheme for forming a group of buyers in different locations.…”

Section: Related Workmentioning

confidence: 99%

e-Fair: Aggregation in e-Commerce for Exploiting Economies of Scale

Gallo,

Randazzo,

Gallo

2017

Preprint

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In recent years, many new and interesting models of successful online business have been developed, including competitive models such as auctions, where the product price tends to rise, and group-buying, where users cooperate obtaining a dynamic price that tends to go down. We propose the e-fair as a business model for social commerce, where both sellers and buyers are grouped to maximize benefits. e-Fairs extend the group-buying model aggregating demand and supply for price optimization as well as consolidating shipments and optimize withdrawals for guaranteeing additional savings. e-Fairs work upon multiple dimensions: time to aggregate buyers, their geographical distribution, price/quantity curves provided by sellers, and location of withdrawal points. We provide an analytical model for time and spatial optimization and simulate realistic scenarios using both real purchase data from an Italian marketplace and simulated ones. Experimental results demonstrate the potentials offered by e-fairs and show benefits for all the involved actors.

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Section: Related Workmentioning

confidence: 99%

e-Fair: Aggregation in e-Commerce for Exploiting Economies of Scale

Gallo,

Randazzo,

Gallo

2017

Preprint

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“…A volume discount mechanism based on the seller's reservation price and the payment adjustment value was the approach used in [12]. GB was proposed also for a whole category of products instead a single one [13] and buyers' web browsing history was used to recommend GB products [14].…”

Section: Related Workmentioning

confidence: 99%

Fairs for e-commerce: the benefits of aggregating buyers and sellers

Gallo,

Randazzo,

Gallo

2016

Preprint

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In recent years, many new and interesting models of successful online business have been developed. Many of these are based on the competition between users, such as online auctions, where the product price is not fixed and tends to rise. Other models, including group-buying, are based on cooperation between users, characterized by a dynamic price of the product that tends to go down. There is not yet a business model in which both sellers and buyers are grouped in order to negotiate on a specific product or service. The present study investigates a new extension of the group-buying model, called fair, which allows aggregation of demand and supply for price optimization, in a cooperative manner. Additionally, our system also aggregates products and destinations for shipping optimization. We introduced the following new relevant input parameters in order to implement a double-side aggregation: (a) price-quantity curves provided by the seller; (b) waiting time, that is, the longer buyers wait, the greater discount they get; (c) payment time, which determines if the buyer pays before, during or after receiving the product; (d) the distance between the place where products are available and the place of shipment, provided in advance by the buyer or dynamically suggested by the system. To analyze the proposed model we implemented a system prototype and a simulator that allow to study effects of changing some input parameters. We analyzed the dynamic price model in fairs having one single seller and a combination of selected sellers. The results are very encouraging and motivate further investigation on this topic.

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“…Among these studies, a significant number of them investigate coalition formation for group-buying activities. Buying group can be formed based on the category of products [34], trust relationships [35] [36] [37], various website allocation [38], credit negotiation [39], reservation prices for a combination of items from buyer [40] [41], reservation prices and payment adjustment values from merchants [42], buyer preferences [43] [44], and the web browsing history of buyers [45]. Merchants can also cooperate to exchange goods in an agent-mediated electronic market system [46] [47].…”

Section: Stream 3: Generalmentioning

confidence: 99%

Critical Examination of Online Group-Buying Mechanisms

Liu

Tan

Sutanto

et al. 2014

Lecture Notes in Computer Science

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Online group-buying mechanism evolves from earlier variant with dynamic discount pricing mechanism to daily-deal variant with fixed discount pricing mechanism. Both mechanisms still face the challenge of attracting customers, either merchants or buyers. In this paper, we examine online groupbuying mechanisms by conducting an exhaustive review of online group-buying literature. Through identifying key design features for group-buying business models, we aim to propose a more sustainable group-buying mechanism. Based on the review of 46 articles, we propose that sustainable group-buying mechanism need to balance the benefits of both merchants and buyers. The nature of group-buying needs to be emphasized, but the mechanism should not be too complicated or simple.

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Towards convenient customer-driven group-buying: an intelligent centralised P2P system

Cited by 4 publications

References 12 publications

e-Fair: Aggregation in e-Commerce for Exploiting Economies of Scale

e-Fair: Aggregation in e-Commerce for Exploiting Economies of Scale

Fairs for e-commerce: the benefits of aggregating buyers and sellers

Critical Examination of Online Group-Buying Mechanisms

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