Who is the expert? combining intention and knowledge of online discussants in collaborative RE tasks

Large, distributed software development projects rely on the collaboration of culturally heterogeneous and geographically distributed stakeholders. Software requirements, as well as solution ideas are elicited in distributed processes, which increasingly use online forums and mailing lists, in which stakeholders mainly use free or semi-structured natural language text. The identification of contributors of key information about a given topic –called experts, in both the software domain and code– and in particular an automated support for retrieving information from available online resources, are becoming of crucial importance. In this paper, we address the problem of expert finding in mailing-list discussions, and propose an approach which combines content- and intent-based information extraction for ranking online discussants with respect to their expertise in the discussed topics. We illustrate its application on an example

Factors encouraging foreign direct investment (FDI) in the wind and solar energy sector in an emerging country

This study bridges the current research gap by exploring the determinants of foreign direct investment (FDI) in the renewable energy sector in Bangladesh through the OLI and TCE theories. Based on semi-structured interviews with 13 experts, it investigates the determinants of firms' decision-making processes in the UK, Singapore, USA, Denmark, Thailand, China, and South Korea, conducting FDI in the renewable energy sector in Bangladesh. The results show that the institutional environment assumes the highest weight over macroeconomic and natural conditions for attracting FDI in Bangladesh's wind and solar energy projects. In the macro-economy, economic growth and access to local finance are important in attracting FDI. Contrarily, land availability assumes the highest importance for attracting FDI in the natural condition dimension