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Liability of foreignness (LOF) has been one of the central constructs in the field of international business and management. Over the past two decades, a significant body of theoretical and empirical research has accumulated, theorizing on the sources of these LOFs, investigating their magnitude, and prescribing approaches to mitigate these disadvantages. However, much of this research is almost exclusively related to firms expanding their products, services, and operations to other countries as part of their global expansion. The difficulties firms face in foreign product markets is just one dimension of the costs they can face in their attempts to secure resources abroad.

We expand the domain of the LOF construct to include liabilities faced by firms accessing foreign capital markets in light of the increasing integration of capital markets. We identify four sources of LOF in capital markets: regulatory costs, information costs, unfamiliarity costs, and costs arising out of cultural differences. Based on an extensive review of “home bias” in equity markets, we propose four strategies to erase the legitimacy deficits that firms encounter in foreign capital markets: bonding, signaling, adoption of business practices isomorphic with the host country, and certifications and endorsements by third parties. We also offer suggestions for operationalizing and measuring LOF in capital markets as well as several directions for advancing further research on LOF in the context of capital markets.

Purpose – The purpose of this article is to investigate whether underlying firm-level incentives influence firms’ compliance with International Financial Reporting Standards (IFRS) convergence practices and whether this adoption impacts firms’ cost of equity capital and market liquidity in Brazil, a setting with a poor institutional environment but high growth opportunities.

Methodology/approach – Using a sample of 54 companies from the São Paulo Stock Exchange, this article employs three measures of accounting convergence based on: (i) compliance to a 37-item index, called the International Accounting Standards Convergence Index (IASCI), (ii) increase in annual reports disclosure, and (iii) increase in accounting earnings quality. Furthermore, the article employs statistical analysis to test the influence of firm-level incentives on IFRS compliance and its economic consequences for the capital market.

Findings – The results indicate that firm-level incentives are important drivers of compliance with IFRS convergence practices. The results suggest that firms that (i) are larger, (ii) are more exposed to international markets, and (iii) have greater financing needs are more likely to adopt IFRS practices by implementing material changes in their accounting policies. The economic consequence analysis shows that cost of capital does not seem to be related to any of the convergence measures used. However, there is a statistically significant relationship between all the market liquidity variables and the IASCI, indicating that companies that best meet the convergence requirements have lower trading costs and greater liquidity, and their share price is less susceptible to the influence of individual investors.

Research limitations and implications – The scope of the study is limited to a relatively small sample of listed Brazilian companies, and they may not represent all listed companies. The sample restriction is due to information availability, since the study requires earnings estimates from the Thomson ONE Analytics database.

Originality/value – The study extends the work of Barth (2008) considering Ball's (2006) observation that superior accounting standards do not necessarily translate into higher quality reporting, since reporting quality may be largely shaped not only by accounting standards, but also by economic/political forces and firm-level economic incentives.

Conventional foreign direct investment (FDI) theories regard FDIs as strategic moves based on operational or industrial organization considerations. We demonstrate that financial factors are also important in corporate FDI decisions. The financial factors concern internal capital market strength and corporate governance and include exchange rate changes, internal and external financing cost, risk diversification, and agency costs. There is variability in the significance of financial variables depending on industries and destinations. The integrated model with both strategic and financial factors is superior to either component model in explaining FDIs. However, financial factors are no less important in explaining the prevailing FDI phenomena than strategic or operational variables.

This chapter examines the main methodological issues involved in the comprehension of the cost structure of the airport industry and suggests considerations for future airport cost analyses. Such understanding has become a crucial concern for policy makers, regional planners, and managers in order to deal with optimal market design (e.g., regulation and market configuration) and airport strategies (e.g., pricing, investments, and alliances). An in-depth analysis of the economics of cost functions is presented, together with a description of the relevant multi-output cost economies measures (average incremental costs, scale and scope economies, and cost complementarities). We also discuss the assumptions underlying estimates of total versus variable cost functions and the importance of estimating a sufficiently flexible functional form. Moreover, we provide a critical survey of the international empirical literature on the cost structure of the airport industry, which highlights how econometric estimates strongly depend on the sample choice and the empirical model considered. Indeed, while econometric studies on international samples based on long-run cost function estimates show that long-run scale economies are never exhausted, single country studies mostly estimate variable cost functions and find lower values for scale economies at median sample points that tend to decrease with size. We discuss why we believe that studies based on the estimation of short-run variable cost functions offer more reliable results, given the reasonable assumption of airport overcapitalization in the short run. We conclude our work by noting that underlying policy issues related to planning and regulation, as well as to the optimal market structure of the airport sector, need to take into account the role played by vertical relationships between airports and airlines.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.