Data Marketplaces: Value Drivers and Pricing Approaches of Data

Although the data monetization market continues to grow with a Compound Annual Growth Rate of 19.5% between 2022 and 2027 (MarketsAndMarkets, 2022), many data marketplaces have failed and withdrawn from the market (Carnelley et al., 2016; Spiekermann, 2019). Particularly the pricing of data remains a key challenge for practitioners (Muschalle et al., 2013; Balazinska et al., 2011). Fricker and Maksimov (2017) come to the conclusion that “research on pricing for data products is still in its infancy” and cannot provide satisfactory recommendations for practioners. The objective of this paper is to contribute in closing this gap based on semi-structured expert interviews which address two research questions: (1) Which price setting mechanisms are chosen in practice? (2) Which value drivers contribute to the value of a dataset? Our results show that data marketplaces dominantly choose cost-based pricing approaches or hand over pricing responsibilities to data providers and buyers. At the same time, they prioritize value drivers outside the cost category. One explanation is that data marketplace are striving for a value-based pricing approach, but currently fail to implement it. We suggest a pragmatic pricing approach that calculates the base price based on the costs and considers performance on value drivers for margin calculation

Increasing online shop revenues with web scraping: a case study for the wine sector

Purpose – Wine has been produced for thousands of years and nowadays we have seen a spread in the wine culture. E-commerce sales of wine have increased considerably and online customer’s satisfaction is influenced by quality and price. This paper presents a case study of the company “QuieroVinos, S.L.”, an online wine shop founded in 2015 that sells Spanish wines in two main marketplaces. Design/methodology/approach – With the final target of increasing the company profits it has been designed and developed an application to track the prices of competitors for a set of products. This information will be used to set the product prices in order to offer the products both competitively and profitably in each Marketplace. This application must check, by tacking into account information such as the product cost or the minimum product margin, if it is possible to decrease the price in order to reach the top cheapest position and as a consequence, increase the sales. Findings – The application improved in a notorious way the company’s results in terms of sales and shipping costs. It must be said that without the use of the presented application, performing the price comparison process within each one of the marketplaces would have taken a long time. Moreover, as prices change very frequently, the obtained information has a very limited time value, and the competitors prices should be analyzed daily in order to take accurate decisions regarding the company’s price policy. Originality/value – Although the application has been designed for the wine sector and the two named marketplace, it could be exported to other sectors. For that, it should be implemented new modules to collect information regarding the competitor’s price of the products selling on each corresponding marketplaceThis work was supported by the Ministerio de Economía y Competitividad under contract TIN2017- 84553-C2-2-R. Also, the authors are members of the research group 2017-SGR363, funded by the Generalitat de Catalunya

Shopbots, Powershopping, Powersales: New Forms of Intermediation in E-Commerce - An Overview -

With the advent and proliferation of the Internet many aspects of business and market activities are changing. New forms of intermediation also called cybermediaries are becoming increasingly important as a coordinator of interaction between buyers and sellers in the electronic market environment. Especially the overwhelming abundance of information offered by the Internet promotes the development of new intermediarie like malls, shopbots, virtual resellers etc. This paper provides a detailed overview of different new forms of cybermediation and illustrates their influence on consumer choice, firm pricing and product differentiation strategies.comparison shopping, cybermediaries, e-commerce, shopbots

Open semantic service networks

Online service marketplaces will soon be part of the economy to scale the provision of specialized multi-party services through automation and standardization. Current research, such as the *-USDL service description language family, is already defining the basic building blocks to model the next generation of business services. Nonetheless, the developments being made do not target to interconnect services via service relationships. Without the concept of relationship, marketplaces will be seen as mere functional silos containing service descriptions. Yet, in real economies, all services are related and connected. Therefore, to address this gap we introduce the concept of open semantic service network (OSSN), concerned with the establishment of rich relationships between services. These networks will provide valuable knowledge on the global service economy, which can be exploited for many socio-economic and scientific purposes such as service network analysis, management, and control

Adam Smith goes mobile : managing services beyond 3G with the digital marketplace

The next generation of mobile communications systems is expected to offer new business opportunities to existing and new market players. A market-based middleware framework has been recently proposed whereby service providers, independent of network operators, are able to tender online service contracts to network operators in a dynamic and competitive manner. This facilitates a seamless service provision over disparate networks in a consumer-centric manner. Service providers select network bearers according to the network operators' ability to meet the QoS target, which in turn is influenced, among other things, by user's price and quality requirements. The benefits of this proposal are the complementarity of numerous network resources, the decoupling of services and networks in a self-organising distributed environment, and increased competition to consumers’ advantag