A Method to Discover Digital Collaborative Conversations in Business Collaborations
This addresses the challenge for employees who need context for documents they weren't involved in creating, but it appears incremental as it builds on existing threading methods.
The paper tackles the problem of understanding documents produced in business collaborations by reconstructing conversations from messaging and conferencing tools, finding that combining multiple conversation-threading methods efficiently detects and constructs relevant threads.
Many companies have a suite of digital tools, such as Enterprise Social Networks, conferencing and document sharing software, and email, to facilitate collaboration among employees. During, or at the end of a collaboration, documents are often produced. People who were not involved in the initial collaboration often have difficulties understanding parts of its content because they are lacking the overall context. We argue there is valuable contextual and collaborative knowledge contained in these tools (content and use) that can be used to understand the document. Our goal is to rebuild the conversations that took place over a messaging service and their links with a digital conferencing tool during document production. The novelty in our approach is to combine several conversation-threading methods to identify interesting links between distinct conversations. Specifically we combine header-field information with social, temporal and semantic proximities. Our findings suggest the messaging service and conferencing tool are used in a complementary way. The primary results confirm that combining different conversation threading approaches is efficient to detect and construct conversation threads from distinct digital conversations concerning the same document.