The Corporate Globalization Phenomenon
The issue of corporate globalization has been debated mainly within the context of large MNEs and MNE strategy (e.g., Levitt, 1983; Kogut, 1985; Hamel & Prahalad, 1985; Ohmae, 1985; Ghoshal, 1987; Rugman & Verbeke, 2004; Rugman, Oh, & Lim, 2012; Teece, 2014). There are three main perspectives on the subject matter. The first focuses on the firm’s external context of homogenization, with this context conducive to either standardization or easier coordination of dispersed, heterogeneous activities (e.g., because of lower transportation costs; improved information and communications technology, absence of discriminatory treatment of foreign firms). In strategy terms, the firms’ response must then be one focused on achieving scale and scope economies, or on economies of exploiting national differences, especially at the input side.
With the second perspective, the external context remains one of great (and sometimes increasing) heterogeneity. Global corporate success then results from appropriate resource recombination, with the firm’s extant reservoir of non-location bound FSAs being bundled with locally accessed, complementary resources and newly developed, location-bound FSAs. Here, the firm focuses on achieving requisite levels of responsiveness to host environment circumstances (Verbeke, 2013).
With the third approach, the focus is on strategies similar to those in the first two approaches, but the firm operates within a more restricted geographic area, because optimal strategy implementation (e.g., a scale-based or resource-bundling initiative) is easier to achieve inside a more confined and homogeneous geographic zone (for analysis of the continued relevance of geographic distance, see Verbeke, Puck, & van Tulder, 2017; Beugelsdijk, Ambos, & Nell, 2018): Some form of regional strategy then typically substitutes for a more global approach. Or “globalization” can take the form of firms operating with distinct strategies for each region in which they have a presence (Ohmae, 1985; Verbeke & Asmussen, 2016).
As noted above, the view on corporate globalization with established MNEs at its core, has been complemented with a research stream focused on born globals. Only in exceptional cases does a new firm’s geographic reach actually fit the “global” label. Such cases include firms selling luxury goods, or operating in high-tech and IT niche markets, and requiring little adaptation or critical complementary resources at the downstream end. These firms may fit the born global mold (Hennart, 2014). In most cases, however, the “global” label in born globals, is more a reflection of strategic intent, rather than the realized outcome of a strategy.
Lastly, during the past two decades, an exciting new field of study has been developed on global value chains. Scholars from a variety of different backgrounds initiated this work: International economists (Baldwin, 2012); sociologists (Gereffi, Humphrey, & Sturgeon, 2005); IB scholars (Kano, 2018; Mudambi & Puck, 2016); and experts in the policy sphere (OECD, 2014). As noted by Mudambi and Puck (2016):
When examining almost any GVC, we observe a constellation of organizational arrangements, ranging from contracts to alliances, partnerships and even spot market transactions. All GVC activities are essential to the creation of the final value proposition, but the geographical dispersion of these underlying activities is ignored when the entire value of final sales is ascribed to the location in which it occurs.
The “global” label in global value chains is thus useful as an acknowledgement of the organizational and stakeholder management complexity at hand, but paradoxically makes it more difficult to appraise what “global” actually means, in terms of the key, relevant parameters: The nature of the FSAs involved from the various partners, in terms of their non-location-boundedness; the geographic breadth and depth of the relevant value chain in its entirety; the scope of economic activities involved.
Measurement Tools
Corporate globalization is not only difficult to appraise conceptually, but its actual measurement is equally challenging. First, globalization has often been considered as the equivalent of a diversification process. Each new country entered is viewed as the equivalent of a new product line being added, and each entry draws upon the firm’s resources reservoir. At the same time, commanding operations in several host countries can help reduce business risks: varying economic cycles and market trends can yield to more stable profit flows, at least to the extent that international markets indeed evolve independently from each other (Hitt, Li, & Xu, 2016). In the same vein, the real options approach suggests that MNEs can disperse their operations across national boundaries in response to differences in environmental risks and opportunities, and then earn additional benefits from such geographic diversification (Chung, Lee, Beamish, & Isobe, 2010). The most widely used measure of international diversification is an entropy index, along the lines of the index described in Jacquemin and Berry (1979) for business diversification. The index is defined as follows (Eq. 1), see, e.g., Hitt, Hoskisson and Kim (1997):
$${\text{ID}} = \mathop \sum \limits_{n = 1}^{\infty } \left( {P_{i} \times \ln \left( {\frac{1}{{P_{i} }}} \right)} \right)$$
(1)
In Eq. 1, Pi represents the sales attributed to region i in the global market, and ln(1/Pi) is the weight given to each region in the global market, or the natural logarithm of the inverse of its sales. The measure considers both the number of regions in the global economy in which a firm operates and the relative importance of each region in overall sales. Various authors have proposed adopting a more elaborate measure of international diversification (DT), integrating both geographic and business diversification (Kim, 1989). The purpose was to design an index measuring the geographic distribution of sales across relevant business segments, see Eq. 2:
$${\text{DT}} = \mathop \sum \limits_{a = 1}^{A} \mathop \sum \limits_{i \in a}^{{}} P_{ia} \ln \left( {\frac{1}{{P_{ia} }}} \right)$$
(2)
In Eq. 2, “A” represents the number of geographic market areas in which a firm operates; Pia is the proportion of the size of the ith business segment in the ath market area to a firm’s total size of operations (Kim, 1989: 379).
Because of difficult-to-satisfy data requirements, the indices proposed by Kim (1989) and Kim, Hwang and Burgers (1993) have not been used much in subsequent, large-scale empirical work. The main practical reason is the difficulty to collect data on geographic coverage for each business segment. In contrast, the more simple entropy measure at the corporate level has been used much more frequently in IB studies (Hitt, Hoskisson, & Kim, 1997). The entropy-based measure has limited value, however, if the goal is to capture the globalization phenomenon. When taking on extreme values, such an index is useful: A value close to one, points to a domestically oriented firm, while a value close to zero indicates strong dispersion across countries (as a supposed signal of globalization). But for the vast majority of companies, the entropy measure is not really informative. As one example, a Canadian MNE having equal sales volumes in the United States, Mexico and Canada will earn the same index score as a Canadian company with equal shares of sales in the United States, Japan and Germany. The entropy measure clearly does not take into account the “compounded distance” features of globalization (Rugman, Verbeke, & Nguyen, 2011).
Second, many researchers have preferred to develop categorizations based on reaching “thresholds” (e.g., the presence or level of foreign sales; thresholds of sales percentages reached in specific regions), or based on simple counts (e.g., number of countries in which the firm operates). These measures represent superficial proxies for levels of multinationality. For instance, Morck and Yeung (1991) counted the number of foreign countries where an MNE has a subsidiary, and Wan and Hoskisson (2003) added “subsidiaries or cooperative ventures.” McGahan and Victer (2010) proposed a count of the firm’s number of foreign direct investments, as well as the number of countries in which it had engaged in FDI. In the realm of international new ventures, Zahra, Ireland and Hitt (2000) counted the number of countries entered by new companies. In index form, one can also find, e.g., the “count of host countries where a firm maintains offices in an observation year, divided by the sample maximum number of host countries across all observation years” (Powell, 2014).
When comparing the international diversification index with these types of “multinationality” indices, it could be argued that the latter do cover to some extent the increased organizational complexity associated with doing business in a higher number of countries, each being different in terms of culture, prevailing institutions, etc. It would also be correct to argue that being present in a larger number of countries does provide some indication of globalization, with the “maximum count” reflecting an economic presence in all countries in the world. The main weakness of this approach, unsurprisingly, is again, that this type of index can be meaningful at the extremes, but is more difficult to interpret when taking on intermediate scores (where most internationally operating firms are positioned). In the intermediate cases, it would be important to ask what shares of the firm’s total sales, assets, and value chain activities are actually accounted for by each of these countries.
As regards the usage of thresholds rather than simple counts, one marker that has often been used is the distribution of sales across the main economic regions of the world, e.g., the Americas versus Europe, Mediterranean and Middle East, versus the Asia–Pacific, or some other supposedly relevant set of regions. Rugman and Verbeke (2004) proposed the following thresholds: Global firms were defined as having sales of at least 20% in each of the three regions of the broad triad of North America, Europe and Asia, but with less than 50% in any one of these regions (especially the home region). Non-global MNEs would then include home-region oriented, host-region oriented or bi-regional MNEs. Debates have arisen about which regions should be used as the basis for the analysis; about the appropriate threshold levels to determine whether a firm is global (with some scholars arguing that overall GDP per region should be included as a correction factor, to determine which share of sales a global firm could reasonably expect from the various regions); about the need to assess other dimensions than revenues (for instance, assets); and about the relevant sets of companies to be included in corporate globalization studies (in Rugman and Verbeke’s (2004) original work, the Fortune Global 500 companies were the basis of the analysis).
Interrelated Empirical Caveats
Scholarly articles have addressed corporate globalization for decades, but the previous section points to a number of interrelated weaknesses as to empirical assessment (see Verbeke & Forootan, 2012; Verbeke, Coeurderoy, & Matt, 2017). Three key interrelated challenges would appear critical here.
First, as noted above, scholars have often used rather crude proxies to measure corporate globalization. In some cases, even simple ratios have been used such as foreign sales/turnover, though these represent little more than an indicator of international activity (Errunza & Senbet, 1984; Wiersema & Bowen, 2008). In extreme instances, corporate globalization has been even assessed through usage of a dummy variable, indicating whether or not a company has any activity abroad, which is a disappointing corporate globalization measure (Denis, Denis, & Yost, 2002; Chang, Kogut, & Yang, 2016). It should also be noted that corporate globalization has been assessed almost exclusively on the basis of sales data. Only few published articles have included other parameters, such as asset or employee dispersion (Rugman & Verbeke, 2008).
A second, related issue is the fact that authors most often aggregate data themselves or re-compute data, to assess corporate globalization. For instance, Hitt, Hoskisson and Kim (1997) write that, based on: “market sales data available in the Compustat geographic segment tapes, we classified foreign markets into four relatively homogeneous global regions: Africa, Asia and Pacific, Europe, and the Americas. This action is based on the increasing importance of the regional economies (Ohmae, 1985, 1995).” Rugman and Verbeke (2004) adopted a similar approach. The above suggests that researchers typically face two methodological challenges: Firstly, rather than starting with understanding and aggregating firm-level data from the bottom-up, and gaining insight into the reasons for actual geographic dispersion, they start from the macro-level to establish regional geographic units. Secondly, they make arbitrary choices in the aggregation process, thereby introducing challenges for subsequent comparability and reproducibility.
A third empirical caveat concerns sample selection. On the one hand, authors who try to engage in a fine-grained analysis of corporate globalization have little choice than to eliminate many cases lacking the requisite information. As a result, Hitt, Hoskisson and Kim (1997) built their analysis on 295 US firms from the Compustat database; Qian, Li and Rugman (2013) used 167 Canadian firms; Hashai (2011) analyzed 144 Israeli high-technology firms; Rugman and Verbeke (2004) focused on only 320 firms. On the other hand, authors attempting to work with much larger samples, must operate with imperfect (and often inappropriate) proxies as noted above: Denis, Denis and Yost (2002) worked with a database of 44,288 firm-years, associated with 7520 firms (1984–1997); Chang, Kogut and Yang (2016) had a database of 12,640 firm-years, associated with 3002 firms (2005–2011).
Implication: Corporate Globalization as a Missed Target in IB Research
The various methodological and empirical weaknesses identified above, highlight that corporate globalization remains largely a “black box,” in terms of what is actually known by IB scholars about its content, context and consequences, in spite of many academics writing about it. In their 2004 article, Rugman and Verbeke introduced their paper by stating that: “Globalization, in the sense of increased economic interdependence among nations, is a poorly understood phenomenon.” Even though much progress may have been made in the realm of understanding globalization at the macro-level during the past 15 years, the statement remains largely valid for the corporate globalization phenomenon.