Transaction Platform Research Articles

What Drives the Shift Towards Sharing Economy? A Holistic Approach

The advances in information technology and the increasing digitalization of the general public favored the growth of the sharing economy, which indicates multisided web-based platforms for online transactions between individuals to share idle resources. Recent studies started investigating what drives the satisfaction of sharing economy-based products, and defining the boundaries and taxonomies of the phenomenon. However, so far, the drivers of the customer shift towards this new model of economy have been overlooked. With the aim of filling this gap, we contend that a holistic approach, which comprehends the three parts involved in sharing economy transactions, namely user motivations, web-based platforms and the type of asset exchanged, is needed. Analyzing survey responses from European citizens about sharing economy, our findings provide empirical evidence of the positive effects on the shift towards sharing economy brought about by individuals’ intrinsic motivations, quality of the platform, and human-asset based typology of outcomes provided. In doing so, we advance the overall scientific understanding of what drives the adoption of sharing economy and we provide managers and policymakers indications about the factors they may be leveraged to further favor the spread of this phenomenon.

Sharing Economy as Transaction Platform Innovation

We develop theory explaining the ‘sharing economy’ as a recent example of transaction platform innovation. Such innovative platforms are regular occurrences in the history of economic development, which facilitate transactions by, primarily, reducing transaction costs for parties—often as products themselves, making them entrepreneurial products creating two-sided markets. We extend this analysis to examine the boundary conditions of the sharing platform, offering predictive limits to the diffusion of sharing

Factors Influencing The Total Sales of Fruits and Vegetables on Digital Platforms

The development of digital technology and a pandemic have increased online transactions on digital platforms. The most widely used digital platforms for online transactions in Indonesia are Shopee, Tokopedia, and Bukalapak. Digital platforms will become essential actors in the agribusiness system in the future. Fresh agricultural products marketed on digital platforms are included in the fruit and vegetable category. This research aims to analyze the factors that influence the total sales of fruits and vegetables on the digital platforms. The method used in this research is panel data regression. The results show that the effect is positive and negative based on types of products. The number of reviews through digital platforms influences significantly on total fruit and vegetable sales. However, the price does not influence significantly on total sales. Meanwhile, other factors include rating, store type, and promotion provide results of varying significance by commodity. Because review is the most important factor that affect total sales in digital platforms, seller needs to focus on how to control reviews in each digital platform. The understanding can help the seller to increase their total sales. Keywords: digital farmer, e-commerce, marketing, marketplace, robust least squares

A uber‐airbnb mixture flexibility peer‐to‐peer market in integrated TSO‐DSO architecture

With the launch of global decarbonisation, the infiltration of low-carbon distributed energy resources (DERs) is increasing. The future transaction platforms for those flexibilities are considered to be peer-to-peer (P2P) ones conforming to resources' characteristics of small-scale and independence. This research reviews current flexibility-related topics and proposes one P2P flexibility market filling in the gaps. The contribution of this research includes: (1) it constructs a flexibility market combining pricing strategy and matching strategy of the mature and successful real-world P2P business models, accommodating the penetration of DERs. The proposed automatic trading market could mobilise the enthusiasm of market participants and satisfy individuals' needs for a convenient market. (2) it proposes a dynamic pricing strategy where prices fluctuate with the features and portfolios of market participants. More adequate market signals are provided with the promotion of market equity. (3) it discusses the segmentation tendency of the flexibility market when considering energy products as pure commodities following the disintegration from the transmission system operator to the distribution system operator. The feasibility of the proposed market under future energy scenarios is thus explored.

PUF-Based Authentication and Key Agreement Protocols for IoT, WSNs, and Smart Grids: A Comprehensive Survey

Physically unclonable function (PUF) is a physical unit fabricated inside a sensor and generally considered as an assurance anchor of resource inhibited device. Essentially, the function is based on the cryptographic approach, where a key is created and utilized such that it cannot be cloned. More specifically, it is an arbitrary function, which maps inherent properties of the hardware devices to a unique bit stream of information. Authentication and key agreement (AKA) protocols are widely used in electronic commerce, electronic stock trading, and many secured business transaction platforms, because they allow the communicating devices to mutually authenticate each other while exchanging authenticated session key (or secret key) that can be used subsequently to establish a secured communication channel. Yet, these protocols are also vulnerable to a broad range of security outbreaks. In light of these notions and practical applications, this article is intended to: 1) provide an overview of AKA protocols, PUF plus the combined PUF-based AKA; 2) systematically and taxonomically examine and discuss with pros and cons of AKA applications to the fast growing areas of Internet of Things, wireless sensor networks, and smart grids based on a meticulous survey of the existing literature; 3) summarize the challenges to deployment and potential security risks of the underlying technologies and possible remedies or mitigation strategies; and 4) to conduct and report a comparative performance and security analysis with respect to the three focused areas.

The Impact of Generation Z’s Consumption Values Factors on Purchase Intention in Secondhand Goods Transaction Platforms: Based on the Mediated Effects of Trust

Purpose This study derives core consumption value factors based on the characteristics of Generation Z, and understands the relationship between the derived factors and purchase intentions in the used trading platform. Design/Methodology/Approach The study classified the characteristics of Generation Z and used factors consistent with the characteristics of Generation Z as independent variables in the theory of consumption value. Platform trust and seller trust, which can act as trust factors in used transactions, were set as parameters, and dependent variables were set as purchase intentions. A survey was conducted on Generation Z with experience in purchasing in used transactions. Findings Generation Z values the price, durability, and practicality of products in second-hand transactions, and enjoys the pleasure of exploring products. Product reuse is seen as positive in terms of ethical consumption. In a second-hand transaction, trust in the transaction on the platform and accurate seller information delivery and prompt responses lead to product purchase. Research Implications This study is meaningful in that it presents the characteristics of Generation Z with values consistent with the consumption value theory, and in verifying the mediating effect of platform and seller trust.

ANALISIS PERILAKU KONSUMSI PADA MARKETPLACE (SHOPEE & TOKOPEDIA) MENGGUNAKAN MODEL UTAUT

Using a marketplace platform for trade transactions in the digital era is currently in great demand than conventional shopping. However, marketplace users cannot just give away their personal data just like that. Customer data security is the most important thing that must be considered in order to avoid computer network crimes or commonly known as cybercrime. This article aims to find out what influences the security of customer data in the marketplace on consumer shopping behavior by implementing the UTAUT (Unified Theory of Acceptance & Use of Technology) research model. The research method in this article uses descriptive quantitative methods by taking population samples of active marketplace users in Denpasar City and using samples from several respondents. In this article it can be concluded that interest in using the marketplace has a partial influence on user behavior and the facilitating condition variables moderated by experience have a simultaneous effect on user behavior. These factors are proven to both have important aspects in influencing the security of customer data on the marketplace.

VirtElect: A Peer-to-Peer Trading Platform for Local Energy Transactions

An average U.K. electricity bill is made up of at least 60&#x0025; service charge, with approximately 22&#x0025; related to network characteristics including distance charge. This makes distance and network constraints important factors in matching prosumers on any peer-to-peer energy trading platform as assessed in this article. To realize that, a platform&#x2014;<inline-formula> <tex-math notation="LaTeX">$VirtElect$ </tex-math></inline-formula>, based on a double auction market is developed to support the matching interaction between prosumers. Case studies based on real microgrid data are used to verify the performance of the platform in demonstrating the potential of local energy consumption. The results show that it is possible to balance local energy generation and consumption, with little or no interaction with the utility grid. We also show that local energy trading is not only beneficial to the environment but also leads to a significant amount of cost savings of up to 45&#x0025;, depending on the number of participants and their ratios on the platform.

Design and Implementation of a Cloud Based Decentralized Cryptocurrency Transaction Platform

Trading in the crypto-currency market has seen rapid growth and adoption, as well as the interest in crypto related technologies like blockchain and smart contracts. Smart contracts have gained popularity in building so called Decentralized Applications (dApps) and Decentralized Finance (DeFi) apps, mainly because they are more secure, trustworthy, and largely distributed (removes centralized control). DeFi applications run on the blockchain technology and are secured by blocks (nodes) connected by cryptographical hash links. DeFi applications have a great potential in the crypto-currency trading domain, providing more secure and reliable means of trading, and performing transactions with crypto-currencies. Only verified transactions are added to the blockchain after being approved by miners through a consensus mechanism and then it is replicated (distributed) among the nodes on the blockchain network. This research paper proposes a DeFi Crypto Exchange by integrating a numerous-signature stamp with a crypto API. A numerous-signature stamp solves the issue of transaction verifiability and authenticity. A crypto API provides the data about each crypto currency with which trades and transactions will be performed. This paper also discusses the technical background of the technology and a few related works. Decentralization of transactions through smart contracts on the blockchain will improve trust, security and reliability of transactions and trades.

Digital Assets and Blockchain-Based Multimedia Data Management

With the emergence of blockchain technology, decentralized and trustworthy platforms for data storage and propagation transactions become available, which can improve the security of the digital assets, i.e., data with their right to use (e.g., authority, ownership, fingerprinting, etc.). However, the security mechanism of blockchain suffers more vulnerabilities when it is being attacked and when managing multimedia data. It remains challenging to secure multimedia data and protect data integrity. Meanwhile, multimedia data could contain critical personal information. Research in privacy-preserving multimedia data management needs to be further studied to enable using and analyzing multimedia digital assets in the decentralized system without personal information leakage. This is an important feature to enable applications, such as surveillance and e-health. While blockchain sheds light on the future of multimedia data management, further research on secure and privacy-preserving management for digital assets and multimedia data is needed.

CTRF: Ethereum-Based Ponzi Contract Identification

In recent years, blockchain technology has been developing rapidly. More and more traditional industries are using blockchain as a platform for information storage and financial transactions, mainly because of its new characteristics of non-tamperability and decentralization compared with the traditional systems. As a representative of blockchain 2.0, Ethereum has gained popularity upon its introduction. However, because of the anonymity of blockchain, Ethereum has also attracted the attention of some unscrupulous people. Currently, millions of contracts are deployed on Ethereum, many of which are fraudulent contracts deployed by unscrupulous people for profit, and these contracts are causing huge losses to investors worldwide. Ponzi contracts are typical of these contracts, which mainly reward the funds invested by later investors to early investors, and later investors will have no gain. However, although there are some studies for identifying Ponzi contracts on Ethereum, there is some room for progress in the research. Therefore, we propose a method to detect Ponzi scheme contracts on Ethereum-CTRF. This method forms a dataset by extracting the word features and sequence features of the smart contract’s code and the features of transactions. The dataset is divided into a training set and a test set. Oversampling is performed on the training set to deal with the problem of positive and negative sample imbalance. Finally, the model is trained on the training set and tested on the test set. The experimental results show that the model has significantly improved recall compared with existing Ponzi contract detection methods.

Risk of non-fulfillment of obligations by participants of investment deals: preventive civil law mechanisms for the protection of rights

Risk of non-fulfillment of obligations by participants of investment deals: preventive civil law mechanisms for the protection of rights

Perlindungan Hukum dan Pengenaan Pajak Bagi Investor Cryptocurrency di Indonesia

The significant increase in crypto investment in Indonesia is very high. This is indicated by the increase in crypto transactions, especially bitcoin and the increasing number of member investors in Indodax as one of the crypto transaction platforms in Indonesia. However, this increase is not supported by laws and regulations that can protect investors against their funds that have been deposited on a crypto transaction platform due to platform errors or due to fraud that is rampant in the cryptocurrency world. The fairly high increase in investment has also attracted the attention of the Indonesian government in collecting income taxes for investors in the crypto world which can increase the government's coffers of wealth destined for national development. However, there is also no regulation that regulates how much and how the income tax will be imposed. imposed on investors. So tthe problem arises as to how legal protection is for crypto currency investors in Indonesia and how income taxes can be imposed on crypto investors. The problem approach used in this research is the statutory approach, and the conceptual approach. Legal protection for CryptoCurrency investors is in the form of supervision from BAPPEBTI, supervision from the Investment Supervisory Task Force, security protection from crypto asset market managers and law protection form UU ITE. The imposition of crypto taxes can be imposed as well as the final share income tax, which is 0.1% of the gross amount of crypto asset sales transactions.

A Master-Slave Game Optimization Model for Electric Power Companies Considering Virtual Power Plant

As an emerging and active entity in China’s electricity market, electricity selling companies call for a more reliable operational mechanism and new consumption mode to broaden their profit margins. Aiming at distributed power generation-based sales companies and by considering the participation of virtual power plants (VPPs), this paper presents the relevant operating systems in the Chinese power market. Then the paper proposes a new platform for power transactions and optimal dispatch based on a master-slave game optimization model. The model is built so that the main gamer, power sales company, can achieve maximum profit while at the same time the secondary gamer, represented by the VPP attains the lowest internal dispatching cost. The energy of both parties is linked together, and the two parties continuously exchange their own strategies and optimize the operational decisions and scheduling plans iteratively. The results of the investigated case study reveal the benefits to retail electricity companies from adopting the proposed model to aggregate and manage decentralized resources, and optimize decision-making. The platform facilitates the use of controllable loads and distributed energy sources to participate in market transactions on a large scale, and optimize the operational strategies of electric utilities.

De-internationalization of transactional platforms: an exploratory case study

ABSTRACT This study explores why some transactional platforms that have expanded into foreign markets decide to de-internationalize. The empirical part of this study focuses on an anonymized transactional platform called Alpha and its de-internationalization from the host market. Our exploratory case study shows that Alpha’s de-internationalization was driven by a combination of external and internal factors. These factors were related and contributed in different ways to create a downward spiral of de-internationalization. In conclusion, we propose that such a negative spiral in foreign markets is related to a firm’s inability to recontextualize, something that even globally standardized transactional platforms must be capable of doing. The importance of recontextualization highlights the fact that a platform business consists of elements that are embedded in a particular local context.

Transaction search engine of distributed electricity market trading platform based on blockchain technology

AbstractCurrently, it is difficult for China's electricity trading platform to handle large amounts of data during centralized clearing, achieve cross‐regional sharing of transaction information, and realize the optimized allocation of resources. The previous research has proposed establishing a new distributed electricity market trading platform based on blockchain technology to solve the aforementioned problems; however, transaction nodes on the platform have difficulty determining the final delisting plan in the face of numerous choices. Therefore, in this study, a search engine was designed according to the demands of the delisting node. The developed algorithm is run with a programmed script through a smart contract and can provide the best delisting plan for delisting nodes, ensuring that the delisting plan is selected intelligently and publicly. Overall, seven delisting strategies were designed. Additionally, the improved Critic‐G1 method based on the coefficient of variation was used to establish a smart contract for the comprehensive evaluation of listing nodes. Finally, the example analysis verified that calling the smart contract can help the delisting node quickly obtain the best delisting strategy, increase the enthusiasm of the transaction subject, and facilitate the promotion and application of the transaction platform based on blockchain technology, confirming the effectiveness of the proposed method.

A decision model for efficient service design in the sharing economy: a service triad perspective

PurposeSharing economy-based service platforms are a relatively new way of delivering services that have received increasing attention from both practitioners and researchers. However, current research in the area is still developing in terms of offering practical insight in conjunction with a decision model that may help to determine optimal strategies for efficient service design in the sharing economy from a service triad perspective. Exploring this gap in the literature, this paper aims to develop and apply a decision model that enables managers to identify and prioritise the efficiency attributes of sharing economy-based services. It also aids in designing optimal strategies to enhance efficiency over time based on the insights obtained from users (buyers and sellers) and platform providers.Design/methodology/approachThis study adopts a mixed-methods approach. The qualitative approach comprised an extensive literature review followed by in-depth interviews, and the quantitative approach adopted the quality function deployment (QFD) integrated optimisation technique to design and prioritise the most optimal strategy emanating from the application of a decision model.FindingsThe findings revealed that establishing global distribution, continued technological research and development (R&D) and enhancing the transactional platform are the most important strategies in the context of sharing economy platform providers (e.g. accommodation-based-platform service providers). This study also revealed that as the importance weights of the efficiency attributes changed over time, so too did the portfolio of strategies used to attain an optimal efficiency level.Originality/valueThe decision model brings a richer conceptual understanding of the dynamic changes over time that occur in the business ecosystem. It also allows managers of sharing economy-based platforms to select optimal strategies and make astute decisions towards achieving efficient service design.

The Digital Platform as Digital Innovation: A Study from the Perspective of Dynamic Capabilities

The objective of this study is to examine how digital platforms digitally innovate companies and organizations, using the business model for dynamic capacity in three Brazilian companies. To achieve the proposed objective, a case study research method was used, with theoretical models of digital platforms, digital innovation and dynamic capabilities. The empirical research results proved that the three companies have a digital platform for business transactions as their main component, and that this model connects customers and suppliers through services.

A Multi-Microgrid Thermal Game Model Based on Quantum Blockchain

The electricity transactions of microgrids face several problems: the high platform management cost, the low security, and the untimely consumption of scattered electricity. To solve these problems, this paper presents a multi-microgrid thermal game model based on quantum blockchain. Specifically, a dynamic model was established for the noncooperative game between aggregators, microgrids, and large users to maximize the benefit of each party, and to realize the timely consumption of scattered electricity. Next, a transaction platform was constructed based on the two-round password based authenticated key exchange (PAKE) protocol, which eliminates non-interactive zero-knowledge (NIZK), aiming to substantially enhance the post-quantum security of transactions. Then, the quantum signature using two-particle entangled Bell states was adopted to safeguard the quantum communication of electricity transactions, and authenticate the nodes. Example analysis shows that our model can realize the timely consumption of scattered electricity and thermal energy, improve the security of transaction data and users, and achieve Pareto optimality. The research provides theoretical support and decision-making basis for electricity transactions in the post-quantum age.

위드 코로나(With-Corona) 시대 글로벌 온라인 무역전시회 사례연구

Virtual trade shows, a form of digital transformation, are emerging and are establishing as an essential marketing tool under the COVID-19 crisis. However, due to the sudden change caused by the COVID-19, practical preparations and responses for virtual trade shows as well as academic research have not been adequately conducted. This study intends to suggest the characteristics of a virtual trade show and its components and functions by focusing on the essence of the trade show. The CES and CANTON Fair, which are representative trade shows of the US and China and held online, were studied using a comparative study method. Findings of the results suggest that the virtual trade show needs to increase the transactions between sellers and buyers rather than implementing virtual images. In addition, results also proposed that virtual trade shows’ advantages, such as searching and statistical data collection functions, can be effectively applied to trade show marketing and improvement of participation performance. In particular, the real-time connectivity and the holding of various accompanying events can effectively overcome the limitations of non-face-to-face and attract high-quality buyers. Results of this study also suggest that it is necessary to strengthen the online operation capability of the trade show organizers and develop customized virtual trade shows that reflect the characteristics of each item for the trade shows to become a platform for trade transactions.