Travel time and the liability of distance in foreign direct investment: Location choice and entry mode

By Kevin K. Boeh, Paul W. Beamish. 2012

157 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/a570db381c10da2e6d90c3eebe5fd141fb6ca8e2

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Citations in the corpus

Place, space, and geographical exposure: Foreign subsidiary survival in conflict zones (2013, unknown): “5To our knowledge, with the exception of Boeh and Beamish (2012), no prior international business research has been carried out at this level of analysis.”
The 45 years of foreign direct investment research: Approaches, advances and analytical areas (2017, unknown): “The location choices and factors may determine the firms’ global competitiveness, influencing their survival chances (Benito & Gripsrud, 1992; Boeh & Beamish, 2012; Chen, Chen, & Ku, 2004).”
Why and how does shared language affect subsidiary knowledge inflows? A social identity perspective (2015, result): “Our study compares favorably to extant research in that it draws on primary data and yet has achieved a similar sample size to studies using secondary data (n=1171; Boeh & Beamish, 2012).”
The Location Choice of Foreign Direct Investments: Empirical Evidence and Methodological Challenges (2017, background): “For instance, Boeh and Beamish (2012) show how spatial separation in the form of parent-dyad travel time influences location choice by increasing the friction of interacting and costs of uncertainty.”
Global cities and multinational enterprise location strategy (2013, background): “4For example, Boeh and Beamish (2012) demonstrate that travel time between headquarters and subsidiary is a more powerful predictor of firm governance and location choices than is geographic distance.”
Foreign Location Choice: Review and Extensions (2016, unknown): “…et al. 2009; Chung and Alcácer 2002; Nicholas et al. 2001; Villaverde and Maza 2012; Webster 2013; Wu and Strange 2000), clusters (Manning et al. 2010; Nachum and Keeble 2003; Zaheer and Manrakhan 2001) and cities (Boeh and Beamish 2012; Goerzen et al. 2013; Ma and Delios 2007; Ma et al. 2013).”