Electronic Markets最新文献

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.

This study investigates the intricate interplay between visual (in)congruity and visual quality within the context of Non-Fungible Tokens (NFTs). Drawing upon foundational theories on mental schema, and uniqueness in extended self-representation, we develop a comprehensive theoretical framework that illuminates the influence of visual cues on consumer psychology and market dynamics in the burgeoning NFT art ecosystem. Leveraging a dataset comprising 2895 images from NFT art collections, we employ computer vision to discern patterns and extract visual features underpinning transaction pricing dynamics. Subsequently, we analyze the interaction effect between visual (in)congruity and visual quality on NFT art valuation. Aesthetic incongruity has been shown to contribute to the enhancement of prices, but this effect is contingent on the perceived aesthetic quality being high. Our study underscores the transformative potential of visual (in)congruity in shaping consumer perceptions and market dynamics within the NFT ecosystem. By elucidating the interplay between visual aesthetics and valuation mechanisms, we offer valuable insights pertaining to the creation, valuation, and investment of NFTs. This enriches scholarly discourse and informs practical strategies for market participants and stakeholders navigating the dynamic landscape.

After the initial surge in decentralized finance, widespread public adoption did not materialize. A predominant portion of the populace harbors distrust towards the crypto asset market. Conversely, banks, serving as intermediaries in financial management, enjoy heightened trust. The contemporary development within the banking sector indicates an inclination towards integrating into the crypto asset market. This integration results in new business models for banking institutions and emergent opportunities for their clientele. Prior research addresses perceptions surrounding cryptocurrencies. The present research augments this field by investigating the acceptance of crypto assets. Specifically, we conducted an empirical user study to analyze investing behaviors. By adapting the theoretical framework of the technology acceptance model to the unique characteristics of crypto assets, we highlight acceptance drivers. Notable variances in awareness of crypto assets affect investment decisions. The findings of this study contribute to social welfare by identifying impediments to sustainable investment practices. Additionally, these insights facilitate a more sophisticated comprehension of strategic alternatives available to banking institutions.

Mobile health applications (mHealth apps) are widely used for supporting individuals in achieving health-related goals. While various strategies such as reminders and financial incentives have been explored, the impact of verification systems on goal achievement remains understudied, particularly in the context of mHealth apps. This study investigates the effects of a dual verification system on goal outcomes, which require users to submit proof photos before and after activities. Using a difference-in-differences (DID) with matching technique, we examine whether increased verification steps hinder users’ commitment to self-development goals. Drawing upon friction theory, our findings suggest that implementing a dual verification system negatively influences goal achievement rates due to increased friction. Moreover, we find that the effect varies based on users’ engagement patterns and deposit amounts. Our study contributes to understand the effects of verification systems on users’ goal achievement and provides practical insights for designing personalized verification strategies in mHealth apps.