Online Auction Research Articles

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

Transaction Platform Governance and Conflicts: A Configuration Approach

Transaction platforms, such as Amazon and Uber, are emerging as central players in many segments of the global economy. Extant research has primarily focused on the impact of network effects on platform growth and rivalry, and very little scholarly work has studied governance systems of platforms. Building on property rights theory, we propose that governance rules influence conflicts between platforms and seller partners. We test our proposition in the online auction and mail-order (SIC: 5961) industry. We first identify the sets of rules that platforms use in seller selection and engagement based on configuration theory. Next, utilizing fsQCA methodology, we identify multiple configurations of governance rules that lead to low platform-seller conflict. We also find that divergent configurations are contingent upon platform strategies. Theoretical and empirical implications of the study on platform governance and property rights are discussed.

Scheduling Online EV Charging Demand Response via V2V Auctions and Local Generation

Due to the enormous energy consumption and the wide geographic distribution, Electrical Vehicle (EV) charging stations are believed to have great potential in Emergency Demand Response (EDR) participation. However, EDR limits the electricity drawn from the power grid by the charging station, and can pose threats to satisfying EVs’ charging demand. In this paper, in order to complement the charging station’s energy supply to meet the dynamic EV charging demand, we formulate an online EV charging scheduling problem under EDR as a non-linear mixed-integer program, and propose a novel polynomial-time online algorithm and auction mechanism to jointly incentivize EVs with energy to sell their energy and utilize the charging station’s local generator to produce energy. Our approach conducts an auction in each single round based on a primal-dual method and ties these auctions over time to optimize the system’s long-term social cost, while accommodating the local generator’ on/off-state control, each EV bidder’s cumulative energy budget constraint, and the power grid’s EDR energy cap. Our approach achieves the economic properties of truthfulness, individual rationality, and computational efficiency simultaneously for each auction, and a parameterized-constant competitive ratio for the long-term social cost. By rigorous theoretical analysis and trace-driven experimental studies, the results exhibit that our approach outperforms multiple alternative algorithms regarding the social cost, attains the economic properties, and also executes efficiently in practice.

Human Behavior in Online Auction and Personality Influence

This study conducts a questionnaire survey on cell phone online we can see the motivation of buyers who purchase phone online. And this study looks insight into the impact of conformity motive driven by the different personal characteristics upon the conformity behavior through online auctions. What makes internet worth discussing is the anonymity of online users .And the purposes of the study attempt conformity pattern of online decision making as well as personality influence and to discuss the factors and motivations influencing conformity, and to provide suggestions that help online marketers exploit the power of crowds to promote online sales. The result shows that persons with high Neuroticism, Agreeableness, Conscientiousness scores love to follow other people’s step and are easily affected by ratings on online auction. Nevertheless, persons with high Extroversion, Openness scores are less susceptible to online conformity and always make decision for their own needs. One may deeply see that personalities play important roles on behavior pattern upon online decision making.

Setting Reserve Prices in Second-Price Auctions with Unobserved Bids

In this work we consider a seller who sells an item via second-price auctions with a reserve price. By controlling the reserve price, the seller can influence the revenue from the auction, and in this paper, we propose a method for learning optimal reserve prices. We study a limited information setting where the probability distribution of the bids from bidders is unknown and the values of the bids are not revealed to the seller. Furthermore, we do not assume that the seller has access to a historical data set with bids. Our main contribution is a method that incorporates knowledge about the rules of second-price auctions into a multiarmed bandit framework for optimizing reserve prices in our limited information setting. The proposed method can be applied in both stationary and nonstationary environments. Experiments show that the proposed method outperforms state-of-the-art bandit algorithms. In stationary environments, our method outperforms these algorithms when the horizon is short and performs as good as they do for longer horizons. Our method is especially useful if there is a high number of potential reserve prices. In addition, our method adapts quickly to changing environments and outperforms state-of-the-art bandit algorithms designed for nonstationary environments. Summary of Contribution: A key challenge in online advertising is the pricing of advertisements in online auctions. The scope of our study is second-price auctions with a focus on the reserve price optimization problem from a seller’s point of view. This problem is motivated by the real-life practice of small and medium-sized web publishers. However, the proposed solution approach is applicable to any seller who sells an item via second-price auctions and wants to optimize its reserve price during these auctions. Our solution approach is based on techniques from machine learning and operations research, and it would be beneficial especially for sellers who start the selling process without any historical data and can collect the data on the outcomes of the auctions while making reserve price decisions over time. History: Accepted by RamRamesh, Area Editor for Data Science & Machine Learning. Supplemental Material: The supplementary material is available at https://doi.org/10.1287/ijoc.2022.1199 .

IMPLEMENTATION OF ONLINE AUCTION SERVICES (E-AUCTION) AT KANTOR PELAYANAN KEKAYAAN NEGARA DAN LELANG (KPKNL) BEKASI CITY

Electronic government and electronic government, namely a change in the manual system of government to an electronic one, one example is the Online auction (E-auction), which is an auction site and procurement of goods based on electronics/online through applications or websites and can be used for executable auctions, non-auction mandatory execution, as well as voluntary non-execution auctions. In addition, they can bid online via the internet on their cell phones without having to be present at the auction venue or auction office, accessible whenever and wherever they are because it is more efficient in time, accommodation and transportation to the auction place. This online auction is conducted via e-mail so that auction participants can bid repeatedly without interference from outside parties outside the auction, unlike conventional auctions where other people can interfere or participate in bidding on the auction price until the time specified. set out. This study aims to implement the e-auction and analyze the obstacles that occur and the efforts to overcome obstacles at the Bekasi City State Wealth and Auction Service Office (KPKNL). The research paradigm is Constructivism, a case study research design. Using the purposive sampling technique, qualitative research methods with data collection techniques using observation and in-depth interviews. The results of the study indicate that the implementation of the online auction system (e-auction) in Bekasi has been used since 2015 until now, with the implementation of the system running quite well due to annual human resource training, more complete facilities and infrastructure, and fast service. responsive. However, deficiencies such as a lack of socialization about the website and the auction sales target are still not achieved.

Are female skins sold at a lower price? Evidence from the Fortnite game

ABSTRACT Much significant research has been done to shed light on discrimination of females in, for example, labour markets. Less is known, in contrast, about the amount of discrimination in the virtual world of online gaming. In an early study, Castronova (2004), using data for the EverQuest game, finds that female avatars receive about 10% lower prices in online auctions. In this research note, we re-examine the pricing of avatars using data for the Fortnite game and find small and statistically insignificant price difference between female and male avatars.

Phishing: A Way of Attacking the Privacy

The Internet provides a fantastic platform for ordinary people to communicate. Criminal minds have figured out a means to steal personal information without having to meet the person and with the least danger of getting detected. It’s known as phishing. Phishing is a significant threat to the ecommerce sector. Customers’ trust in ecommerce is shattered, and electronic service providers suffer significant financial losses as a result. As a result, understanding phishing is critical. This document educates readers on phishing assaults and anti-phishing the recipient, the auction site will have a good yield. Anti-phishing strategies and online security rules have been recommended by both academia and industry practitioners in order to protect customers’ interests. Some commercial anti-spam and anti-phishing products block email from ”blacklisted” sites that they claim deliver spam and phishing emails, but allow email from software. Because of the obvious usability issues ”whitelisted” sites that they claim are known not to send it. This strategy appears to be anticompetitive because it unfairly discriminates against smaller and lesser-known sites.

SECOND-HAND CONSUMPTION AS AN EXAMPLE OF SUSTAINABILITY

Çevre, eşitlik ve ekonomi arasındaki denge olarak özetlenebilecek olan sürdürülebilirlik kavramı günümüzde en önemli kavramların başında gelmektedir. Sürdürülebilirlik kavramı, kaynakların sınırlı olduğu söz konusu bu kaynakların kullanım biçimlerinin uzun vadeli önceliklerini ve sonuçlarını göz önünde bulundurarak akıllıca kullanılmasını ifade etmektedir. Özellikle gelecek nesiller için temiz bir dünya, sağlıklı bir çevre bırakmak fikrine odaklanan söz konusu kavram günümüzde hem hükümetler, hem markalar hem de tüketiciler açısından çevreye karşı sosyal sorumluluğu ifade etmektedir. Günümüzde kurumların ve markaların çevreye yönelik duyarlılık gösterdiği uygulamaların artış göstermesi, tüketicilerin konuya yönelik farkındalık oluşturmasını sağlamıştır. Özellikle tüketicilerin ekolojiye duydukları saygı ile birlikte bireysel anlamda bir sorumluluk alarak “çevre dostu” uygulamalara yönelmeleri ve çevre dostu tüketim biçimlerini benimsemeleri de söz konusu olmuştur. Günümüzde dünyada ve ülkemizde ikinci el tüketime duyulan ilgi, ikinci el pazarının da genişlemesine katkıda bulunmuş ve tüketicileri kullanılmış ürünleri yeniden almaya ve satmaya teşvik etmiştir. Günümüzde “sürdürülebilirlik” konusuna verilen önem, gereksiz endüstriyel atıklara açılan savaş, belirli bir dönem üretilen ve artık üretimi olmayan ürünlere ulaşma isteği ikinci el mağazaların sayısını artırmakta, söz konusu durum çevrimiçi ikinci el mağazaların da artışını beraberinde getirmektedir. “Hazine avcılığı”, “pazarlığın heyecan verici atmosferi”, “çevrimiçi açık artırmalar” gibi nedenlerden dolayı da tercih edilen ikinci el tüketim günümüzde sürdürülebilir moda tüketimine giden yollardan da biri olarak kabul edilmektedir. Bu çalışmanın amacı, ikinci el tüketim konusunu “sürdürülebilirlik” kavramı izleğinde ele alarak literatüre katkı sunmaktır. Ayrıca bu çalışmanın günümüz pazarlama uzmanlarına da farklı bir perspektif sunarak; ikinci el tüketim temelinde ekonomik, ekolojik ve toplumsal sürdürülebilirlik ile ilgili yeni fikirler vereceği düşünülmektedir.

Mobilising the public to fight poverty using anti‐poverty labels in online food markets: Evidence from a real experimental auction

AbstractIn an emerging economy like China where the domestic income inequality has dramatically increased between middle‐class urban consumers and poor rural farmers, food grown by poor farmers with poverty alleviation labels may receive price premiums from consumers with multiple incentives. To reveal consumers' willingness‐to‐pay (WTP) for anti‐poverty labelled food, we implement a non‐hypothetical Becker–DeGroot–Marschak auction online experiment for apples with real shoppers. Results show that consumers are willing to pay 3.66 RMB extra for each kilogram of apples with anti‐poverty labels, indicating the opportunities for using voluntary public food consumption to supplement the government's anti‐poverty responsibilities. Consumers who are more empathic, who believe that anti‐poverty products have higher quality, who have donated money within the past year, and who are not involve with anti‐poverty related production or selling processes are willing to pay more. Additionally, three different information treatments (a beneficiary description, an appreciation certificate and a government promotion document) were found to increase consumers' WTP for anti‐poverty products. Treatment effects are different among consumers with different demographic characters and perspectives about the anti‐poverty label. Lastly, anti‐poverty labels can attract consumers for trial purchase but are not sufficient to lead consumers to make repeat purchases.

Multivariate statistical analysis for sedimentary characteristics in an estuarine environment of the east flood canal river, Semarang

The East Flood Canal River stretches across the eastern part of Semarang, an area that is densely populated with residential and industrial areas. There are many human and industrial activities around this watershed, including the textile industry, food factories, and fish auction sites. Therefore, this river becomes an interesting research object to examine the influence of industrial activities around the river on the characteristics of the sediment. This research was conducted by examining sediment core samples from the estuary of the East Flood Canal. The research aims to reveal the relationship between the characteristics and distribution of sediments and geochemical trace elements. A total of 31 samples of sediment core slices with an interval of 1 cm were analyzed. The granulometric analysis was conducted by Mastersizer 2000, to determine the grain size parameters that were used as the basis for the clustering. Geochemical analysis was conducted by the XRF (X-Ray Fluorescence) to determine the trace elements concentration. The study is interpreted using compositional data analysis associated with a grain size trend analysis (GSTA) and cluster analysis (CA). The GSTA value showed generally dominated by medium to very fine silt. The cluster showed that four lithofacies zones have different sedimentary characteristics. The distribution of the characteristics of the large grain size of the seafloor sediment in the East Flood Canal indicates that as the deposition is farther from the river mouth, the poorer it’s sorting. It was recorded that, at a depth of 19 to 27 cm from the surface there was an increase in fine to very fine sand accompanied by an increase in the Fe and Mn which indicated that there was a supply of sediment that occurred from land caused by human activities and flood events.

Web Portal for Online Agri-Auction

Abstract: In this project, an online auction system is presented. It has a very large potential market of sellers and buyers. An On Line Transaction Processing (OLTP) database model structure is, therefore, desirable. The project involves the design and implementation of an online auction system. The analysis stage is performed first for the case study.Project begins by analyzing and presenting the OLTP database model for the online auction house. Besides, the intention to establish what goes on operationally within the online auction house. It also defines the layout in android application. In which many number of bidders bids the auction and final the auction won will store the result of the winning bidder details. And finally the shipment process will carried out

The role of technology in the art market in the COVID-19 period

The art market, like many other industries, has experienced a challenging and transformative period since early 2020 as the COVID-19 pandemic has created new unforeseen needs for galleries and auction houses. Along with the challenges it presented, the crisis has also created many opportunities for restructuring and innovation in the industry as organizations have been forced to look for new ways of working because the traditional format has become unacceptable, and this has required new methods and technologies. The market, driven by external circumstances, moved online as businesses closed and events were canceled, and dealers were forced to rethink their business models to adapt to the new economic realities, which, for many, involved the deployment or significant intensification of digital strategies in to support sales and communications. Therefore, the purpose of the study is to determine the impact of innovative technologies on the world’s largest auction houses. To better understand the impact of innovative technologies on the financial performance of the auction houses Christie’s, Sotheby’s and Phillips, econometric models were built to identify the presence or absence of a relationship between auction profits and such a qualitative factor as the format of the auctions. Based on the econometric analysis, it can be concluded that in the period 2019-2021, the importance of online auctions and, as a result, other technologies necessary to support their activities has increased. This growth is due to factors such as the forced transition to an online format due to security measures and the fight against COVID-19 and an increasing level of confidence on the part of market participants.

Imperfect competition in online auctions

We study online markets where two sellers sequentially choose reserve prices and then hold ascending auctions. Buyers can bid in both auctions and can switch between them as frequently as they like. We adapt the revenue equivalence approach of Myerson (1981) to obtain total revenue generated by the buyers and the split of this revenue between the sellers. We find a unique (ɛ-perfect) equilibrium outcome, in which the first seller to choose a reserve price enjoys a first-mover advantage, maintained by selecting a price low enough to discourage the second seller from undercutting this price. Both prices are above the sellers’ marginal costs, but below what a monopolist would set. Our results contrast with Burguet and Sákovics (1999), in which the sellers simultaneously choose reserve prices for separate, traditional sealed-bid auctions in which each buyer can bid in a single auction only. They do not find a unique equilibrium outcome (due to mixed strategies) and they only partially characterize equilibrium payoffs.

Design And Implementation of online Auction System

Online auction sites are a great way for people to buy and sell goods without the hassle of haggling prices or advertising items. it's also a good place for small businesses to advertise their products because they can attract more buyers with even small advertising budgets.Online auction system that enables people to buy and sell items to each other. It's similar to eBay but is more focused on buying and selling locally instead of internationally. Mosul University and some of its affiliated institutions, especially warehouses, lack the presence of an electronic auction that facilitates the operations of conducting auctions, as the current auction system is a traditional manual system with many difficulties and slow work, in addition to the complexity of the procedures for offer and sale operations. This research paper includes scheming and executing an online auction web application for Mosul University. This application will have a major role in supporting the electronic auctions conducted by the University of Mosul in terms of facilitating the display of items to be sold and speeding up and documenting sales processes and making the procedures more flexible and accurate. It is possible to make this application public to many public and private organizations. The manual system used for the auction at the University of Mosul was analyzed and on the basis of which the electronic system was designed, applied and tested. The application experiences showed flexibility in use and success in implementation

Effect of Market Information on Bidder Attrition in Online Auction Markets

Information generated in online markets can affect both buyers’ and sellers’ expectations and therefore their choices. In this research, we investigate the effect of market information, generated in online auction markets, on buyers’ expectations and choices. To clear large inventories, sellers often conduct many auctions selling identical items over time, which creates an online auction market where competition dynamics spill over from one to auction to another. In these markets, bidders can participate in many auctions over a period of time, observe market information (supply, demand, and competition), and gain experience to increase their payoffs. We observe that despite having an opportunity to compete and win in future auctions, many bidders stop participating in these auction markets. We argue that observed market information affects their choices. We explore how bidders form expectations about market supply, demand, and competition based on information from two sources—market design parameters and behavior of market participants. By employing a hierarchical Bayesian latent attrition model, we empirically detect and investigate the effect of bidders’ expected market supply, demand, and competition on their attrition in these markets. Our study shows that the effect of market information on attrition is nuanced by bidders’ value heterogeneity. Through the lenses of behavioral economics theories, we show that the attrition behavior of high-value bidders is completely opposite that of low-value bidders. We discuss the practical implications of our findings.

The COVID-19 as a Driver for Alternative Trade Networks in the Small-Scale Fisheries: Portugal as a Case Study

The fisheries industry has been one of the most immediate and severely impacted sectors by the COVID-19 pandemic and lockdowns in particular. This study aimed to gather detailed information about the new initiatives that, preferentially on an online basis, emerged worldwide to trade fish and seafood. A special focus was applied on the usefulness of the digital tools in Portugal, which was considered as a case study. From a global view, the European countries resulted in being especially active to launch nationwide campaigns promoting the domestic consumption of fishing products. A total of 122 digital initiatives, distributed among 48 countries, mainly in America, Southern Europe, southeast Asia, and Oceania, were recorded all over the world to sell fish and seafood. Social media (33.6%), mainly though Facebook, WhatsApp, phone, and e-mail (25.4%) were the main channels used for this purpose. In Portugal, the entity responsible for the first-sale of fishing products allowed free access to the five online auctions that operate nowadays in this country. As expected, in 2020, this digital space experienced an increase in both users (94%) and volume of traded products (121%) compared to the previous year. Moreover, eight Portuguese online shops specializing in fresh fish and seafood, operating exclusively on an online basis, were identified in this study. In general, all of them reported an increase in new users during the first lockdown and were required to recruit additional employees to fulfil the added demand. In parallel, questionnaire surveys conducted in this study revealed that only 33% of the Portuguese fisher associations and producers organizations looked for new technologies as a valuable tool during the pandemic situation, being significantly more valued in the Northern region compared to the rest of the country. Aligned with this perception, 57% of fisher trainees in the Northern coast of Portugal opined that the pandemic changed their view on how the fishing catches can be traded, one way being the use of digital tools considered by the majority as an asset to face the arisen challenges. In conclusion, the key role globally played by digital tools to overcome many of the limitations posed by the pandemic, particularly for the small-scale fisheries, is evident. This recent open-minded environment for technological transition is an undoubted advantage for the future generation of fishers to modernize the classic trade channels into more functionally diversified supply chains.

Development of a multivariable prediction model to identify dairy calves too young to be transported to auction markets in Canada using simple physical examination and body weight

Calves born on Eastern Canadian dairy farms that are not kept in the herds are traditionally sold through auction markets and are raised for meat purposes such as veal calves. Since February 2020, a new Canadian federal regulation has forbidden calves <9 d old to be sold through auction markets. However, in the absence of a real-time birth registry consultation system, it would be of interest to look for predictors that could be associated with age to allow identification of calves too young to be transported. In the current retrospective cross-sectional study, 1,178 calves with a declared birth date (411 calves aged <9 d old; 34.9%) were assessed in 2 large Québec auction sites. Easy-to-record covariates [body weight (BW), breed phenotype, and presence of an umbilical cord remnant] as well as other clinical signs (umbilical swelling, enlargement, umbilical pain, wet umbilicus, skin tent, sunken eyes, ocular and nasal secretion, and hide cleanliness) were assessed. Two logistic regression models using age as a dichotomous dependent variable (<9 d old vs ≥9 d old) were built. The first model (model 1) considered all covariates, which were selected after univariable analyses and a backward stepwise selection process, whereas a more pragmatic model (model 2) only included the 3 easy-to-record variables (i.e., BW, breed, umbilical cord). Both models had similar accuracy to detect calves <9 d old (sensitivity of 38.4 and 37.5%, and specificity of 85.7 and 84.6% for model 1 and 2, respectively). Model 2 was subsequently more specifically studied as it employs a faster and easier assessment. Decision thresholds were tested for their robustness based on misclassification cost term (MCT) analysis with various prevalence of calves <9 d old and various costs of false-negative:false-positive ratio. Despite statistical significance, model accuracy, even if refined with MCT analysis, was limited at the individual level, showing the limits of using physical signs and BW or their combination as a reliable proxy of age. The sensitivity of these models to find calves <9 d old was not to be used for monitoring compliance with the Canadian federal regulation. The relatively high model specificity may help to use this model as a rule-in test (i.e., targeting positive calves for further investigation) rather than a rule-out test (due to its low sensitivity).

ONLINE AUCTION

An online auction is an auction which is held over the net. It’s well-liked method for getting and selling products and services. Online Auction Systems helps customer to sell &amp; purchase product in reasonable cost. It’s developed with the target of making the system reliable, easier and swift. This application is employed to sell the anything on the website from house. It is developed with the target of creating the system reliable, easier and fast. The application is made as simple as surfing a web site. Thereby non-technical persons can also interact with the processing on the appliance easily

Disruption, Digitalization and Connectivity: Asia’s Art Market in Transformation

This study investigates the ongoing transformation in galleries, auctions, and museums in Hong Kong, Shanghai, Taipei, and Singapore, where new models for art transactions and exhibiting practices lead to unprecedented evolution in the global art market. While the pandemic hit the art market unprecedentedly, art organizations in Asia are seeing the light at the end of the tunnel as the digitalization of online auctions and virtual art-viewing technology has made up for the cancellation of art events. We are also seeing increased cross-regional and cross-national collaborations in marketing and exhibiting activities. Whether or not it is part of their active strategy, to keep up with the rapid market changes, galleries and auctions must now devote more resources to their digital platforms. Affluent art collectors in this region see art consumption not only as a socially conditioned, symbolic mechanism manifesting wealth and cultural capital but also as an attractive investment vehicle with an increased appetite for the financialization of artworks. What are the benefits and complications of the digitalization of online art transactions and art viewing? How do multi-sited auctions and exhibitions indicate the increased demand for collaboration between commercial art organizations and art institutions? Based on fieldwork and semi-structured interviews with actors in the art markets and secondary Chinese resources, this research generates insights into organizational behaviors in Asia’s art scene and how the art market players actively adapt and persevere via taking on new, entrepreneurial models of operation and speeding up trans-regional and trans-national connectivity with their Western counterparts.