Electronic Markets最新文献

In this study, we investigate how power contestation between complementors and powerful platform owners unfolds in digital platform ecosystems as they come under regulatory scrutiny. Platform owners like Alphabet/Google, Apple, Amazon, and Meta/Facebook dominate their respective ecosystems, leveraging network effects and market power to maintain their positions, giving them a powerful advantage vis-à-vis supply-side complementors. Complementors have become increasingly dependent on these platforms and struggle due to their weakened position. In the EU, the European Commission has implemented the Digital Markets Act, which aims to increase fairness and contestability within and across digital platform ecosystems. Using a case study approach, we analyze how regulatory scrutiny, such as the Digital Markets Act, has affected power contestation between platform owners and complementors. In particular, we investigate app store and search platform ecosystems. We establish a conceptual framework of power contestation that shows how complementors and platform owners interact directly and through the regulator as a mediator, vying for power in the ecosystem. We thereby contribute to the emerging Information Systems literature on power dynamics and the regulation of digital platform ecosystems.

Supplementary information: The online version contains supplementary material available at 10.1007/s12525-025-00858-9.

Online disinformation campaigns are different from other attempts at deception that have existed for millennia, and they require new and more effective mechanisms to counteract them. Modern disinformation campaigns use individuals' private personal information to craft stories carefully designed to manipulate specific readers. They again use this information to direct those stories to those readers who will be most sympathetic and away from readers who will detect the attempted manipulation and experience backlash. These campaigns undermine individual agency and human dignity and polarize societies, destroying societal cohesion, which is why disinformation campaigns have been called an existential threat to human civilization. Limiting the harm of disinformation is complicated by the need to preserve freedom of speech and avoid the appearance of bias, as well as by the resistance of social media platforms that find disinformation campaigns profitable. We use simulation modeling to explore the effectiveness of mechanisms to limit the spread of disinformation and offer guidance to regulators.

Supplementary information: The online version contains supplementary material available at 10.1007/s12525-025-00796-6.

In today's competitive digital economy, effective web design is crucial for shaping user perceptions of organizations. While prior research has primarily focused on a single or few low-level design variables-such as color choices or banner layouts-this study explores webpage prototypicality-the extent to which a webpage aligns with typical design conventions in its genre-as an overarching design variable that encompasses various sub-variables (e.g., navigation structure, color schemes, and layout organization). Drawing on the elaboration likelihood model, we explore how webpage prototypicality interacts with message strength and users' cognitive elaboration to affect users' attitudes toward an organization. Through an online experiment on commercial banking websites, we found that higher prototypicality significantly improves users' attitudes, specifically their general attitude towards the banks and the banks' attractiveness as employers, highlighting its role as an effective design variable. Furthermore, our study shows that prototypicality plays a mediating role in the effects of message strength on users' attitudes. This research contributes to research on web design in the fields of information systems and human-computer interaction and provides guidance for effective web design practices.

Supplementary information: The online version contains supplementary material available at 10.1007/s12525-025-00777-9.

Digital technologies ignite new businesses and force existing companies to restructure their business models. Various independent academic research streams discuss the potential of digital technologies for business. However, these streams’ research findings are published across outlets in various communities, and an approach to bringing these streams together is missing. In this position paper, we propose to integrate these streams under the concept of Digital Business. We see Digital Innovations as the core of Digital Business and offer a framework for structuring the field. Using this framework, we describe the field’s development to date and provide three ideas for further integrating the field in the future. Altogether, a key aim of this paper is to create a conceptual basis that structures both research and education in the field Digital Business.

Used car market platforms are interested in extending their offering from information provision to the whole customer journey. Providing certified data on the car’s state and history enables this extension by eliminating the need to physically inspect the car before buying it. Hence, communication and negotiations can move entirely to a used car platform to cover the entire value chain. How can such a market communication be designed when certified data come into play? This study designs and develops a certified data chat for the selective and controlled exchange of blockchain-based certified data in used car negotiations. An experimental market game is played with students to evaluate the usefulness of the chat. The study contributes to the augmentation of market communication with valuable and sensitive data exchange and demonstrates what a key component of a future used car market can look like. It offers three design principles and insight into why certified data chats are useful.

The increasing popularity of online information and communication technology (ICT) devices has shifted customers’ contact with nature from offline to online. Online exposure to nature on social media involves information such as bloggers’ social influence, blog image clarity, blog text sentiment, blog length, and online interactions with people, which are inaccessible from offline. This study examines the relationship between online exposure to nature and social media engagement behaviors from the perspective of environmental psychology. We find a significant U-shaped correlation between online exposure to nature and customer engagement on social media. Moreover, this relationship is weakened by social influence and image clarity. Our analysis indicates that online exposure to nature significantly differs from exposure to nature, both theoretically and in terms of results. Our paper enriches the literature on visual content and enhances the understanding of customer engagement on social media. The results also reveal the implementation of social media marketing strategies with images.

The proliferation of cryptocurrencies has contributed to the emergence of different cryptocurrency exchanges (crypto-exchanges). While these services may be regarded as FinTech, involving cryptocurrency as the major transaction currency has made these services potentially distinctive from other fiat-based FinTech services. Thus, the critical success factors of crypto-exchanges may not be identical to those of other fiat-based FinTech services. Grounded on theories related to FinTech and service varieties, we developed a survey and explored the role of different factors on users’ continuous intention of adopting the crypto-exchanges. Our results suggested that when users perceive specific crypto-exchange characteristics, they are more likely to adopt the exchange continuously. Combining previous literature, we name this set of factors “LAS-VICT principle”, including low user-burden, asset-light, scalability, variety, innovativeness, scalability, and transparency. However, users’ emphasis on factors may differ based on their cryptocurrency experience. Based on our findings, we provided some theoretical and practical implications.

Industrial data ecosystems are inter-organizational forms of cooperation emerging around sharing data. They arise from a digital infrastructure, giving data providers and data users a platform to share and (re-)use data. Data spaces are among the digital infrastructures frequently associated with data ecosystems, as they supply a shared digital space for its participants to share data in a sovereign way. Data spaces aim to close a gap in the digital infrastructure landscape, addressing concerns of organizations when sharing data, such as data misappropriation or a lack of control of shared data. They do this by implementing data sovereignty—typically through Usage Control Policies—that give data providers the means to formalize semantically and technically how data users are allowed to use their data. In this fundamentals article, we address the following issues: (1) contextualizing and demarcating data spaces and data ecosystems, (2) systematizing data spaces in the research and policy landscape, and (3) elaborating on a research agenda for Information Systems (IS) research.

This research looks at current feedback mechanisms design at an electronic marketplace, notices the shortcomings of underutilized feedback comments, and proposes an alternative design that uses text mining to reveal latent service quality/customer satisfaction dimensions, otherwise potentially unnoticed. We observed the rigidity of many feedback mechanisms that confine users to leave feedback on a narrow palette of options, and we used adaptability theory principles to propose the design of a new feedback mechanism. The proposed feedback mechanism design draws on three studies: (1) the first study shows that feedback comments contain unobserved dynamically latent service quality/customer satisfaction dimensions, (2) the second study shows that some of the dynamically latent service quality/customer satisfaction dimensions are more important than the rigid a priori service quality/customer satisfaction dimensions existent at current electronic marketplaces, and (3) the third study shows that, when revealed, extracted service quality/customer satisfaction dimensions have the potential to change behavioral intentions formed on rigid a priori established service quality/customer satisfaction dimensions. We conclude our research by providing steps on how to implement an adaptive feedback mechanism using text mining.

In the era of emerging technologies, many firms explore the role of blockchain technology and its impact on corporate market value. Past research has shown that companies benefit from executing blockchain projects, but little is known about specific value and risk drivers. Hence, we provide evidence for several conditions under which blockchain provides additional firm market value. Moreover, we test whether blockchain announcements lead to changes in the systematic risk of firms. Theoretically founded on the resource-based view, we utilize the event study methodology, supplemented by a multivariate regression and a firm’s beta analysis. We find that stock markets react positively to corporate blockchain news if the announcement is related to a blockchain consortium or partnership, is declared by a tech company, or if the announcement is a follow-up announcement to initial blockchain news. Moreover, our findings show that blockchain announcements do not lead to significant changes in a firm’s systematic risk.