Understanding U.S. regional linguistic variation with Twitter data analysis

We analyze a Big Data set of geo-tagged tweets for a year (Oct. 2013–Oct. 2014) to understand the regional linguistic variation in the U.S. Prior work on regional linguistic variations usually took a long time to collect data and focused on either rural or urban areas. Geo-tagged Twitter data offers an unprecedented database with rich linguistic representation of fine spatiotemporal resolution and continuity. From the one-year Twitter corpus, we extract lexical characteristics for twitter users by summarizing the frequencies of a set of lexical alternations that each user has used. We spatially aggregate and smooth each lexical characteristic to derive county-based linguistic variables, from which orthogonal dimensions are extracted using the principal component analysis (PCA). Finally a regionalization method is used to discover hierarchical dialect regions using the PCA components. The regionalization results reveal interesting linguistic regional variations in the U.S. The discovered regions not only confirm past research findings in the literature but also provide new insights and a more detailed understanding of very recent linguistic patterns in the U.S.

Technology sourcing and reverse productivity spillovers in the MNE:global or regional phenomenon?

The focus of this paper is the importance of regions in technology transfer by the multinational firm. Specifically, we focus on an issue that has become known as knowledge or technology sourcing via 'reverse spillovers', i.e. productivity effects running from domestic firms to foreign establishments. Traditionally this issue has presented a challenge for international business scholars, both in terms of identifying the phenomenon and in terms of determining the success of the strategy. In this paper we examine these questions within the context of the debate on globalization/regionalization. For a set of some 4500 subsidiaries of multinationals across a wide range of countries we show that reverse productivity spillovers via technology sourcing are significant but that they tend to be concentrated within 'triad regions' rather than across them. We also find that reverse spillovers from host country multinational enterprises are greater than those from other host country firms or from other foreign affiliates. © 2013 British Academy of Management.