Abstract
Cross-national distance among countries has been of central interest in International Business and Management research. Therefore, different efforts have been made to develop models/measurements to address this issue. In this article we identify the models/measurements of cross-national distance developed since the beginning of the 2000 decade. After briefly presenting each model’s distinctive features, we assess their impact on the research field based on a wide range of bibliometric techniques (direct, indirect, and adjusted citation impacts, altmetrics, academic reviews, journals and publishers’ prestige). Our analysis shows that the narrower cultural distance construct has lost ground to the wider psychic distance one. Furthermore, researchers highly value those models and measurement that go beyond the cultural and psychic distance constructs providing a multidimensional framework to analyze and measure cross-national distance among countries. Our analysis of these models’ impact shows that this a salient issue in the research field as a whole and a central topic in the highest ranked journals in International Business and Management.
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Notes
This dataset is available to scholars through the journal web site.
See Bornmann (2014) for a broad overview of altmetrics features, advantages, and disadvantages.
The International Studies of Management and Organization is not included in any of these data sources; therefore, the citation analysis includes no information for Child et al.’s (2002) study.
Self-citation excluded in all cases.
As pointed by Harzing and Van der Wal (2008), publishing processes in social sciences are long (they may take several years); therefore, to assess early citation we have worked with citation counts within the 3 years after publication. To check the reliability of our measurement, we have also measured early citation using a 2–4 year window following each article’s publication. Results and rankings relative to early citation do not vary in a significant way.
Except for Smith et al. (2011) when relying on the WOS data source.
Corean, Danish, Dutch, French, Japanese, Polish, Romanian, Swedish, and Vietnamese.
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This work was supported by the Spanish Ministry of Economy, Industry and Competitiveness [grant number ECO2016-80518-R].
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López-Duarte, C., Vidal-Suárez, M.M. & González-Díaz, B. Cross-national distance and international business: an analysis of the most influential recent models. Scientometrics 121, 173–208 (2019). https://doi.org/10.1007/s11192-019-03203-y
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DOI: https://doi.org/10.1007/s11192-019-03203-y