The Sharing Economy

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    Cryptocurrency Research in the Field of Information Systems: A Literature Review and its Implications for Sharing Economy Research
    ( 2023-01-03) So, Tin King ; Cheung, Christy ; Tai, Samson K.H.
    Cryptocurrency has been widely adopted as an asset for investment with the rise of numerous well-known cryptocurrency exchanges. Practitioners and enthusiasts have begun to promote cryptocurrency as a means of payment in the sharing economy. This new trend has also received attention from academia, especially among information systems (IS) scholars. Thus, the purpose of this paper is to consolidate knowledge about cryptocurrency in the field of IS through a systematic literature review and provide insights for researchers to seek opportunities for cryptocurrency research in the context of the sharing economy.
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    Introduction to the Minitrack on The Sharing Economy
    ( 2023-01-03) Abhari, Kaveh ; Xiao, Bo
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    How to Share Data Online (fast) – A Taxonomy of Data Sharing Business Models
    ( 2023-01-03) Schweihoff, Julia ; Jussen, Ilka ; Dahms, Valentin ; Möller, Frederik ; Otto, Boris
    Data is an integral part of almost every business. Sharing data enables new opportunities to generate value or enrich the existing data repository, opening up new potentials for optimization and business models. However, these opportunities are still untapped, as sharing data comes with many challenges. First and foremost, aspects such as trust in partners, transparency, and the desire for security are issues that need to be addressed. Only then can data sharing be used efficiently in business models. The paper addresses this issue and generates guidance for the data-sharing business model (DSBM) design in the form of a taxonomy. The taxonomy is built on the empirical analysis of 80 DSBMs. With this, the primary contributions are structuring the field of an emerging phenomenon and outlining design options for these types of business models.
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    Unraveling the Relationship between Content Design and Kinesthetic Learning on Communities of Practice Platforms
    ( 2023-01-03) Liu, Quanchen ; Xiong, Bingqing ; Cai, Zhao ; Lim, Eric ; Tan, Chee-Wee
    As a variant of the sharing economy, Communities of Practice (CoP) platforms have allowed kinesthetic learners to acquire skillsets corresponding to their interests for immediate or future use in practice. However, the impact of digital learning content design on kinesthetic learning remains underexplored in the field of information systems. We hence extend prior research by advancing content richness and structure clarity as antecedents affecting kinesthetic learners’ digestibility of contents, culminating in differential kinesthetic learning effects. To substantiate our arguments, we collected data from a leading Chinese recipe sharing platform. Whereas content richness was measured in terms of readability, verb richness, and prototypicality, structure clarity was operationalized as block structure, block quantity, and block regularity. Employing a machine learning model, we simulated and tested learners’ digestibility of image content embodied within recipes. Plans for future research beyond the current study are also discussed.