Online Auction Research Articles

Expectation, Disappointment, and Exit: Evidence on Reference Point Formation from an Online Marketplace

Abstract We study disappointment and platform exit among new bidders in an online auction marketplace. In particular, we study a hybrid auction format with a “Buy-It-Now” option, which, when executed, will abruptly end the auction and cancel any standing bids. When this happens, if the formerly leading bidder is new to the platform, then they are 6 percentage points more likely to exit the marketplace for every additional day they spent in the lead. This is rationalized by disappointment-averse bidders with outside options and rational expectations about the likelihood of winning. Our explanation is validated by three ancillary predictions: when expectations are lowered by higher competing bids, there is no effect; sensitivity of exit is declining in prior experience; and, for bidders who do not exit, time in the lead during the first experience predicts a subsequent preference for fixed-price, rather than auction, listings.

Consumer Acceptance of a Ready-to-Eat Meal during Storage as Evaluated with a Home-Use Test

A home-use test (HUT) is one method that provides a measure of ecological validity as the product is consumed in home under common daily use circumstances. One product that benefits from being evaluated in-home are ready-to-eat (RTE) meals. This study determined consumer acceptance of microwave-thermally-pasteurized jambalaya, a multi-meat and vegetable dish from American Cajun cuisine, and a control (cooked frozen jambalaya) through an on-line home-use test (HUT) over a 12-week storage period. Paralleling the HUT, an online auction determined consumers’ willingness to pay. The study also explored how the social environment may impact the liking of the meals when a partner of the participants joined the sensory evaluation of the meals. Consumers (n = 50) evaluated microwave-processed jambalaya stored at 2 °C and a control (cooked frozen jambalaya stored at −31 °C) after 2, 8 and 12 weeks of storage. Consumer liking of different sensory attributes was measured. Participants could choose to share the meals with a partner as a way to enhance ecological validity. The responses from 21 partners to the sensory-related questions were collected. After the sensory evaluation, the participants bid on the meal they had just sampled. Results showed that processing method (microwave vs. control) did not significantly influence the measured sensory attributes. Only flavor liking decreased over storage time (p < 0.05). The inclusion of partners significantly increased (p = 0.04) the liking of the appearance of the meals. The mean values of the bids for the meals ranged from $3.33–3.74, matching prices of commercially available jambalaya meals. This study found suggests that the shelf- life of microwave-processed meals could be extended up to 12 weeks without changing its overall liking. The study also shows the importance of exploring HUT methodology for the evaluation of consumers’ acceptance of microwave-processed jambalaya and how including a partner could contribute to enhance ecological validity.

Network Virtualization Incorporation and Projection System Technologies Using Block Chaining

With the proposed time-lock encryption method, mutually untrustworthy users will create a shared public key for the implementation in a completely distributed and asyncratic setting like internet or blockchain networks with time-critical privacy conservation applications such as e-voting or online auction. A “putting puzzles inside another puzzle” construction mechanism was proposed to resolve the probabilistic characteristics of the predicted key crack time. Experimental findings indicate that the solution proposed will deliver a more precise main break time, which would make it faster and more exact to reach the expected time limit. As described above, we can further estimate computing power by combining our scheme and the blockchain, to decode time-sensitive message. Miners are ready to supply under the updated PoW scheme.

Influencing Factor Analysis of the Hammer Price of Yellow Diamond Online Auction: A Case Study of Ali Auction Hammer Price

In this paper, the factors affecting the hammer price of yellow diamonds were explored and analyzed through the auction data of yellow diamonds from July to September 2019 of Ali Auction. After constructing a five-factor model including auction setting, item description, commodity attribution, buyer competition and bidding strategy, the relevant hypothesis was put forward, and the empirical test was carried out by using correlation analysis and multiple linear regression analysis. It was found that the mark-up range in auction setting, the weight and colour grade of the diamonds in commodity attribute, the bidding times in buyer competition and the jumping bid in bidding strategy all have significant effects on the hammer price. Other factors such as margin, the number of pictures, the status of the end of the auction, and the number of applicants etc. have no significant impact on the hammer price.

Online Resource Auction for EAVN With Non-Price Attributes

Through offloading tasks to surrounding edge nodes, the edge-assistant vehicular network (EAVN) could provide faster and more efficient services. To promote the deployment of EAVN, we need a reasonable resource allocation scheme. Nowadays, there are few auction mechanisms in EAVN scenario. Moreover, the auction mechanism in other edge computing scenario has following limitations. Firstly, current works only focus on the static/offline auction and do not consider that users will join and leave the auction system at any time in EAVN. Secondly, current works that determine the winning buyers/sellers only based on the price do not consider the unique attributes of EAVN, such as poor communication quality and various task demands. We design an online auction scheme for EAVN, which could satisfy the dynamics of users in the auction system. Moreover, the proposed auction mechanism also considers the non-price attributes, such as location, reputation, and computing ability, when constructing the matching between buyers and sellers. To verify our work, we simulate EAVN using a vehicular network simulator. Experimental results show that the proposed mechanism could meet the properties of computational efficiency, individual rationality, budget balance, and truthfulness.

FAKTOR PENENTU KEPUTUSAN PEDAGANG MUSLIM DALAM PEMILIHAN MODEL PEMBIAYAAN LEMBAGA KEUANGAN (STUDI PADA TEMPAT PELELANGAN IKAN (TPI) DI KOTA GORONTALO)

This study aims to determine the deciding factor ped decision a gang of Muslims in the fish auction Gorontalo province in the election financing financial instituted, with a sample of 68 respondents. This study uses multiple regression analysis tools on primary data. It is found that the traders' decisions have a positive and significant effect on marketing mix factors, socio-cultural factors, and psychological factors. The results of the correlation coefficient test for the Marketing Mix Factor, Socio- Cultural Factors, and Psychological Factors have a Pearson Correlation value of 0.986 this value proves that the Marketing Mix Factor, Socio- Cultural Factors, and Psychological Factors have a perfect correlation to the Decisions of Muslim Traders at Provincial Fish Auction Sites. Gorontalo . The coefficient of determination test results obtained the value of r 2 = 0.972. This value means that the variation of the independent variable can explain the dependent variable by 0.972 or it can be translated as 97.2 %, which means that 2.8 % is influenced by other factors not examined.

Beyond a Dichotomous Understanding of Online Anonymity: Bridging the Macro and Micro Level

Anonymity on the Internet is a contentious issue; by some seen as an important freedom to be protected, while others argue for increased identification to protect groups at risk of exploitation. The debate reflects a dichotomous view of online anonymity; you are, or you are not anonymous. However, anonymity is a complex process played out on different levels and defined by various actors. While empirical studies show this, theoretical synthesis is lacking. This essay provides perspective on anonymity online by comparing two critical cases, online auctions and online gaming, we corroborate results from a 4-year interdisciplinary project with researchers from sociology, economics, and computer and system sciences. We argue that one should talk about anonymities in plural form, as online anonymity is not a state but a relational process. We put forth a conceptual model, which unpacks online anonymity as interdependent macro structures – legal, commercial, and technological – and micro/meso facets – factual, social group, and physical – to be used in future research.

The effect of intrinsic and extrinsic quality on the willingness to pay for a convenient meal: A combination of home‐use‐test with online auctions

AbstractA sensory evaluation using a home‐use‐test (HUT) setting and experimental online auctions at three storage times, were used to elicit willingness to pay (WTP) for two samples of ready meals with extended shelf life, one using microwave assisted pasteurization system (MAPS) and the other using freezing. The effect of the information on the name of a new technology and the environmental impacts associated with each technology was also measured. We found that sensory characteristics of the ready meal are the key drivers for subjects' WTP. Considering the specific context of this study, we did not find evidence that the name of the technology and the information on the environmental impacts associated with each technology impacted participants' WTP.Practical ApplicationsOur study contributes by presenting a protocol for conducting a combined HUT and online auction across three storage times for a complex food matrix (i.e., the jambalaya ready meal) in which the eating environment is important. Also influential is that participants actually ate the meal, therefore the sensory evaluation results that were gathered were more impactful for bids than the extrinsic attributes included. Given the logistic challenges of conducting a HUT along with experimental auctions across time, this study had a limited number of participants. Therefore, we cannot provide a conclusive evidence that disclosing the name of the technology used and its effects on the environment would encourage purchase of ready meals.

Incorporating the Time–Order Effect of Feedback in Online Auction Markets through a Bayesian Updating Model

Online auction markets host a large number of transactions every day. The transaction data in auction markets are useful for understanding the buyers and sellers in the market. Previous research has shown that sellers with different levels of reputation, as shown by the ratings and comments left in feedback systems, enjoy different levels of price premiums for their transactions. Feedback scores and feedback texts have been shown to correlate with buyers’ level of trust in a seller and the price premium that buyers are willing to pay (Ba and Pavlou 2002; Pavlou and Dimoka 2006). However, existing models do not consider the time-order effect, which means that feedback posted more recently may be considered more important than feedback posted less recently. This paper addresses this shortcoming by (1) testing the existence of the time-order effect, and (2) proposing a Bayesian updating model to represent buyers’ perceived reputation considering the time-order effect and assessing how well it can explain the variation in buyers’ trust and price premiums. In order to validate the time-order effect and evaluate the proposed model, we conducted a user experiment and collected real-life transaction data from the eBay online auction market. Our results confirm the existence of the time-order effect and the proposed model explains the variation in price premiums better than the benchmark models. The contribution of this research is threefold. First, we verify the time-order effect in the feedback mechanism on price premiums in online markets. Second, we propose a model that provides better explanatory power for price premiums in online auction markets than existing models by incorporating the time-order effect. Third, we provide further evidence for trust building via textual feedback in online auction markets. The study advances the understanding of the feedback mechanism in online auction markets.

Price Learning-based Incentive Mechanism for Mobile Crowd Sensing

Mobile crowd sensing (MCS) is an emerging sensing paradigm that can be applied to build various smart city and IoT applications. In an MCS application, the participation level of mobile users plays an essential role. Thus a great many incentive mechanisms have been proposed to motivate users. However, most of these works focus on the bidding behavior of users and overlook the feature of task requesters. Specifically, there exists a disparity between the low payment a requester would like to make and the high reward a user would like to receive. In this work, we address this issue by designing a group-buying-based online incentive mechanism, which contains two stages: In Stage I, a price learning algorithm is designed to select winning tasks for each group of sensing tasks and obtain a competitive total budget for recruiting users. In Stage II, an online auction is conducted between group agents and online users before a given recruitment deadline. Through theoretical analysis and extensive evaluations, we show that the proposed mechanisms possess computational efficiency, individual rationality, budget balance, truthfulness, and good performance.

Pulling Data from Multiple Websites to Identify Best Deals on Auction Websites

Robotic process automation(RPA)is an emerging tool of automation technology based on notion of software robots or Artificial intelligence(AI). If the customer wants to buy a Bluetooth speaker. He will go to flip kart and search the product. and see the prices as expensive. He will buy it .But the same product is cheaper in Amazon. So our project will give the best product based on the best price and best rating.

Screen culture, online auctions, and art market spectacle

This article examines the symbolic, financial, and visual qualities of spectacular, multi-site, online art auctions staged by Sotheby’s and Christie’s during the COVID-19 pandemic. It is argued that these events adopted visual techniques drawn from television gameshows and popular cinema culture to create a distinctive screen-based reality for the transaction of art assets. Much of the rhetoric employed by the auction houses to publicise online auctions suggested a utopian conception of technology capable of encouraging artistic innovation and broadening access to art markets. In contrast to the idea that these online formats constitute democratic change in the artworld, this article argues that the control of new technological infrastructures represents an extension of institutional power and maintains the socio-cultural elitism of urban centres in which physical art auctions at the top end of the market have traditionally been conducted.

119 Physical, discipline, and breed factors influence sale price between stock-type and sport-type horses sold in online auctions

Online auctions are becoming a common place to sell horses and other equids due to increased marketability and focused sales for different discipline areas. Within the United States, online auctions and sale parameters for stock horses have been well established, but a similar online auction format for sport horses has recently become available. We hypothesized that horses marketed in stock or sport auctions would differ in bid price relative to physical characteristics, cross-discipline training, and breed registration status. Data from 51 stock and 75 sport online auctions across an 8 year period (Professional Horse Auctions, LLC) were assessed to determine market specific variations in sale price, along with desired traits including type and number of disciplines for which the horse was trained, breed, and registration status. Height (cm) was recorded and classified as a pony (less than 142.24 cm), small horse (142.24 to under 162.56 cm) and large horse (162.57 cm and above). Data were assessed using ANOVA and mean comparisons (a = 0.05), with Tukey's pairwise post hoc analysis where appropriate (STATA 16). Online auction format proved to be more effective for stock horses with 59.2% (n = 1,374) sold, compared with only 41.5% (n = 1,012) of sport horses. Across all horses (n = 4,744), sport horses (n = 2,425) sold at a higher mean price (5,164 ± 5,345 USD) than stock horses (n = 2,319, 3,303 ± 3,332 USD). The size of the horse impacted final sale bid across stock and sport listings, with large sport horses having a higher final sale price (7,471 ± 237 USD, P = 0.00001). The number of disciplines listed per horse was not a contributing factor to sale price; however, if listed, specific disciplines such as dressage (5,729 ± 5,590 USD) and jumping (5,516 ± 5,3 USD) resulted in a higher sale price ( P = 0.0001). Registry within a breed or riding association tended to be a driving factor in a successful sale ( P = 0.08); however, horses listed as registered did not differ in their price when evaluated by sale type. Understanding driving factors, including height, breed registry, and discipline training, that affect online auction bid differences across stock and sport horses may help inform sale decisions for both buyer and seller.

151 Factors influencing sale and bid price of sport-trained horses and ponies sold at online auctions

Online auctions are becoming popular as technological availability and need for virtual sale options within the United States sport horse industry increase. Private treaty has been the predominant outlet for sport horse sales, resulting in limited information on factors impacting online sale prices. Our objective was to determine factors affecting online auction sale price for horses and ponies trained in sport classified disciplines. Data was collected from online sport horse auctions spanning from 2012 to 2020 (n = 75, Professional Horse Auctions, LLC). A horse's lot number, sex, breed, registration status, breeding/lineage, and level of training were collected. Seller's ratings of the horse's disposition, professional training, and suitability for riding and training were recorded. If included in the sale description, the type and number of pictures, and video count were collected. Data were assessed using ANOVA and mean comparisons (α = 0.05), with Tukey's pairwise post hoc analysis where appropriate (STATA 16). A total of 2,454 horses were listed, but only 41.7% resulted in a successful sale (n = 1024) with a wide range of accepted bids impacting mean bid price (mean ± SD, 5164 ± 5345 USD; minimum bid = 200 USD, maximum bid = 41,250 USD). Auction month had a significant effect on sold outcome, with horses more likely to sell in March, June, and September ( P = 0.005). Color (k = 17) impacted mean bid price, with black horses (n = 66) yielding the highest price (7,559 ± 6,734 USD, P < 0.0002). Breed impacted bid price, where warmblood breeds commanded the highest bids ( P < 0.00001). Disposition did not affect sale outcome or bid price ( P > 0.05). Professional training did not affect sale outcome but did result in a higher mean bid when reported (professional training 5297 ± 6122 USD, no professional training 3901 ± 4160, P = 0.006). Horses were more likely to sell with lower levels of experience (scores of 1–5 on a 10-point scale, where 1 = least experienced and 10 = most experienced) over those with more experience ( P = 0.06), but ratings did not affect bid price. The number of pictures, ranging from 1 to 19, included in the listing impacted sale ( P = 0.006) and bid ( P < 0.00001). The number of videos increased the bid price with increasing numbers of videos ranging from 0 (3342 ± 4512 USD) to 4 (7946 ± 7806 USD, P < 0.00001). Assigning an objective value to horses is an industry-wide challenge. This information provides useful insight on successful sale and premium bid factors for sport horses in an online auction venue, and illuminates market trends for horses or ponies with specific characteristics.

Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing

Real-time information processing is critical to the success of diverse applications from many areas. Age of Information (AoI), as a new metric, has received considerable attention to evaluate the performance of real-time information processing systems. In recent years, edge computing is becoming an efficient paradigm to reduce the AoI and to provide the real-time services. Considering the substantial deployment cost and the resulting resource limitation in edge computing, a proper pricing mechanism is highly necessary to fully utilize edge resources and then minimize the overall AoI of the whole system. However, there are two challenges to design this mechanism: 1) the priorities (or values) of the real-time computing tasks, critical to the efficient resource allocation, are usually private information of users and may be manipulated by selfish users for their own interests; 2) due to the time-varying property of AoI, the values of the tasks discount with time, making the traditional pricing mechanisms infeasible. In this paper, we extend the classical Myerson Theorem to the online setting with time discounting tasks values, and accordingly propose an online auction mechanism, called PreDisc, including an allocation rule and a payment rule. We leverage dynamic programming to greedily allocate resources in each time slot, and charge the winning user with a new critical price, extended from the classical Myerson payment rule. A preemption factor is further employed to make a trade-off between the newly arrived tasks and ongoing tasks. We prove that PreDisc guarantees the economic property of strategy-proofness and achieves a constant competitive ratio. We conduct extensive simulations and the results demonstrate that PreDisc outperforms the traditional mechanisms, in terms of both weighted AoI and revenue of edge service providers. Compared with the optimal solution in offline VCG mechanism, PreDisc has much lower computation complexity with only a slight performance loss.

Factors to Improve Fishery Household Welfare: Empirical Analysis of Indonesia

This study attempts to verify the linkage between the characteristics of fishers and the welfare of fishery household in Indonesia, which is explained by the surplus obtained by fishers. Based on the empirical results using multiple linear regression analysis, variables with significant impacts on improving the welfare of fishery household in Indonesia in both marine and inland open water fisheries are fishing gear, number of fishers, number of crew, salary, province, age, gender, education level, processed storage, transportation, and market target. Furthermore, the characteristics of fishers are divided into similarities and differences. Observed from the similarities, the main fishers play a prominent role to fulfill the daily needs of their families. Observed from the differences, fishers in marine fisheries prefer to use a boat with an inboard motor, prepare more funds, and require more crew members because they usually catch fish on long trips. On the other hand, fishers in inland open water fisheries prefer to use a boat without an inboard motor, prepare less funds, and require less crew members because they usually catch fish on short trips. The government needs to formulate effective, efficient, and targeted policies for the welfare of fishers. The findings suggest several policy recommendations related to the improvement of fishery household welfare in Indonesia, such as soft loan in the form of People’s Business Credit (KUR), storage facilities for a better supply chain, and revitalization of fish auction sites.

E-BIDDER (Bidding is now on your fingers)

Online auction is a platform where a seller can sell its good to a buyer who will bid more for the product auctioned virtually. In Online Auction the physical appearance is not required at all. As in the world of internet Online Auction can be the best emerging technology and a prominent solution for the buyers as it excludes the physical appearance. At this time as the pandemic of Covid-19 is there, online auction can be a good option in terms of digitalization where the physical appearance and gathering is not required and the payment will also be contactless. This E-Bidder work is based on study of some issue of e-auction websites designs which faces some challenges while making.

OPTIMALISASI ASAS KEMANFAATAN HASIL LELANG EKSEKUSI DALAM PERSPEKTIF HUKUM INVESTASI

The auction activity is the sale of goods open to the public with a written and / or verbal price quote that is increasing or decreasing to reach the highest price, which is preceded by an auction announcement. Auction activities can grow the country's economy, this activity can be optimized through investment. The research method used in this research is normative juridical, and the data are analyzed qualitatively using SWOT analysis. The results of this research there are opportunities and challenges where the Mortgage Certificate has an executorial power, the Regulation supports Investors / Buyers to Invest by buying auction assets, the online auction system aims to enable KPKNL to respond quickly, cheaply, efficiently every request of potential buyers / Investors without have to go through a long bureaucracy, buyers in good faith get legal protection. As for obstacles or challenges in optimizing auction results through investment, namely the presence of auction blockage before the auction, interference or intervention from third parties, and the existence of legal remedies in the form of lawsuits, resistance, rebuttal submitted by the Respondent / debtor at the Court for reasons that are too low or Police Report. With regard to investor legal certainty, namely obtaining legal certainty and legal protection for the purchase of auction assets at the KPKNL in accordance with the provisions stipulated in article 14 of Law Number 25 of 2007 concerning Investment.Keywords : Utility Principle; Auction; Invesment Law.

An Island for Everyone: Poveglia as contested public space in the Venetian Lagoon

This article focuses on the story of the proposed privatisation of Poveglia, a small uninhabited island in the Venetian Lagoon. In March 2014 the Italian State Property Office announced that a 99-year lease on Poveglia would be offered for sale in an online auction. The reaction of some citizens led to the formation of the association Poveglia per Tutti (Poveglia for Everyone), whose activists and supporters wanted the island to be preserved as a public space and blocked the acquisition. The article firstly frames Poveglia in the processes that are particular to the small islands of the Venetian Lagoon, from abandonment to tourism-related ‘land grabbing’, and then contextualises the story of this minor island in a more general discussion regarding broader ‘right to the island’ narratives and practices with reference to some other European cases. Finally, the article presents the results of a an ethnographically informed analysis of the association Poveglia per Tutti to discuss the capacity and potentialities of some small islands - as separate, limited, and identifiable spaces - to be part of territorialisation processes dealing with active citizenship, resistance to tourist monoculture and the usability of public space. In this way, Poveglia becomes a synecdoche for the whole of Venice and its lagoon, ‘condensing’, at the same time, local and global dynamics.

Implementation of Online E –Auction to Overcome the Problem of Corruption with Effective and Efficient Procurement with Transparency

This research paper explores the concept of e-Auction, an increasingly form of online procurement. There is fixed delivery policy. This is a fully dynamic system which can be easily operated by the users. This research paper explores all the increasing form of online procurement. Online e auction system is gaining popularity day by day because of its ease of making online bidding and selling or buying. Users can freely go the website and register there and it’s ready for selling or buying their product. The main thing that is needed to be there is trust among the users, so that they can easily register and take part in the process without having any doubt regarding security. The aim of any online system are related with two points that are: 1.Customer satisfaction 2.Business purpose. Therefore, to meet these requirements there must be need of making enhancements in the online auction system. This paper will explore the all forms of online procurement that we can make to improve the current system.