Blockchain technology is often referred to as a groundbreaking innovation and the harbinger of a new economic era. Blockchain might engender a new type of economic system, the blockchain economy. In the blockchain economy, agreedupon transactions would be enforced autonomously following rules defined by smart contracts. The blockchain economy would manifest itself in a new form of organizational design-decentralized autonomous organizations (DAO)-which are organizations with governance rules specified in the blockchain. We discuss the blockchain economy along dimensions defined in the IT governance literature: decision rights, accountability, and incentives. Our case study of a DAO illustrates that governance in the blockchain economy might radically depart from established notions of governance. Using the three governance dimensions, we propose a novel IT governance framework and a research agenda for governance in the blockchain economy. We challenge common assumptions in the blockchain discourse, and propose promising information systems research related to those assumptions.
Table A1 depicts our research process, including the main steps as well as associated tasks and outcomes. While the table depicts a linear process, we adhered to grounded theory practice and were highly iterative in our approach. For example, the process analysis was conducted in parallel with substantive and theoretical coding. Furthermore, data collection and analysis tasks were highly intertwined with each other and each influenced the other over time. Therefore, we do not clearly differentiate between data collection and data analysis tasks.
Organizational knowledge is one of the most important assets of an enterprise. Therefore, many organizations invest in enterprise social media (ESM) to establish electronic networks of practice and to foster knowledge exchange among employees. ESM improves interaction transparency and can be regarded as a sociotechnical systems that provides a language for communication and symbolic action as well as a better sense of others' social identity. Accordingly, the individual characteristics of knowledge seekers and contributors determine why and how interactions occur. However, existing studies tend to focus only on knowledge contributors' characteristics and to treat knowledge as an object that needs to be transferred. To address this gap, this study conceptualizes and empirically tests a multilevel model of knowledge exchange in electronic networks of practice (ENoP) that include the characteristics of knowledge seekers and knowledge contributors as well as their dyadic relationship from an activity-centered language/action point of view. A dataset of 15,505 enterprise microblogging messages reveals that knowledge seeker characteristics and relational factors drive knowledge exchanges in social media-enabled ENoP. Focusing on organizations with knowledge exchanges supported by information technology, our research extends prior findings by providing the first evidence that the communicative act expressed by question-answer pairs impacts the quality of knowledge exchanged.
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