A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps

There is still a lack of effective paradigms and tools for analysing and discovering the contents and relationships of project knowledge contexts in the field of project management. In this paper, a new framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps under big data environments is proposed and developed. The conceptual paradigm, theoretical underpinning, extended topic model, and illustration examples of the ontology model for project knowledge maps are presented, with further research work envisaged.

The motives and performance of cross-border acquirers from emerging economies: Comparison between Chinese and Indian firms

During the recent decade, the world has witnessed the rapid growth of MNEs from emerging economies. Their increasing participation in cross-border mergers and acquisitions has raised great attention in the extant literature. This study evaluates the value creation from these cross-border transactions from two representative emerging countries, namely China and India, and determines factors that result in the different performance of these international acquisition activities. Cross-border acquisitions conducted by these countries’ companies indeed lead to significant shareholder wealth creation. Furthermore, Indian shareholders are more likely to benefit from deals in small cultural distance countries, while Chinese investors gain from the cross-border expansion of manufacturing companies. Location also affects the performance of cross-border acquisitions, with acquisitions into developed countries generating higher returns to shareholders. Our sample consists of 203 Indian and 63 Chinese cross-border deals over the period 2000–2010 and our results hold after controlling for various deal-level and firm-level characteristics.