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We argue that a foreign-based R&D subsidiary of a multinational enterprise (MNE) can potentially source knowledge from three diverse knowledge networks, namely (i) external knowledge network of the home country, (ii) external knowledge network of the host country, and (iii) internal (MNE) knowledge network. Drawing on the relative costs and benefits associated with the process of synergistic knowledge, this study examines whether a substitutive or a complementary relationship exists when two of the aforementioned networks collaborate in order to generate new knowledge at the subsidiary level. Our study’s sample is based on a survey questionnaire addressed to foreign-based R&D subsidiaries of Fortune 500 companies. We assess the existence of complementarity/substitutability using the “production function approach.” Our results indicate that a complementary relationship exists between external knowledge network of the host and the home country, as well as between external knowledge network of the host country and internal knowledge network. On the other hand, external knowledge network of the home country and internal knowledge network form a substitutive relationship. Our study offers a more comprehensive view of the diverse sources/knowledge networks that R&D subsidiaries are sourcing knowledge from when compared to existing research. We also specify and account for the costs/benefits involved in knowledge sourcing and thereby detect possible substitution/complementarity between different sources of knowledge. So far, there has been limited to nonexistent research into the diversity of knowledge networks of R&D subsidiaries and the examination of potential substitutabilities and complementarities. Hence our empirical study contributes to the development of this particular research stream.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to re-assess both the nature and sources of the competitive advantages which multinationals expanding from home bases in emerging economies (EMNEs) may enjoy in the global market.

The paper analyses the results of 12 concurrent studies undertaken by a group of experts who were asked to examine how strategies for innovation, international value chain configuration and foreign mergers and acquisitions contributed to the competitive advantages of multinationals emerging from Brazil, Russia, India and China (the BRICs), respectively.

EMNEs do have competitive advantages that can underpin their expansion abroad, but these are mainly “non-traditional” advantages that have been built by finding innovative ways to leverage advantages of their home countries. EMNE’s internationalisation is as much about accessing new resources and knowledge to enable them to extend their competitive advantage, as it is a route to exploiting existing advantages over a larger set of markets. As a result, the global value chain structure of EMNEs tends to be fundamentally different from that chosen by incumbent multinationals.

The study is limited to EMNEs from the BRIC countries, but implications for EMNEs emerging from other countries are discussed.

We bring to bear extensive data and a systematic approach to understanding the new breed of multinationals emerging from the BRIC countries; their sources of competitive advantage; and how they are using innovation, foreign investment and overseas acquisitions to transform global competition.

The aims of the paper are to investigate IT software and service export function for India. First, cointegration tests have been used to investigate the long-run equilibrium relationship of the given variables. Second, long-run coefficients and associated error correction mechanism are estimated.

Annual time series data on IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index have been used for the present study during the period 1980–2017. The data are collected from the National Association of Software and Service Companies (NASSCOM), Planning Commission of India, University Grants Commission (UGC) of India, real effective exchange rate (REER) database and World Bank development indicators. Auto regressive distributed lag (ARDL) model is used to analyze both short-run and long-run dynamic behaviour of economic variables with appropriate asymptotic inferences.

Results of the analysis show the stable long-run equilibrium relationship among the given variables. It is found that external demand, exchange rate, human capital and openness index have a substantial long-run impact on the IT software and service exports. We also found that the coefficient of error correction term is negative and significant at 1% of the level of significance, which confirms the existence of stable long-run relationship which means adjustment will take place when there is a short-run deviation to its long-run equilibrium after a shock.

There may be other determinants of software and service exports apart from those considered by the present study. Due to the non-availability of data, the study considers only important determinants that determine the software and service exports in India. The IT exports are an emerging and dynamic field of economic activity and the rate of change is so rapid that the relevance of individual factors may change over time. The study period is also limited to available data.

The paper has implications for achieving sustainability in IT software and service exports growth. It is recommended that policies directed at improving the performance of IT software and service exports should largely consider the long-run behaviour of these variables.

This paper focuses on originality in the analysis of the relationship among the given variables including IT software and service exports, human capital, exchange rate, investment in IT, external demand and openness index in India. All the work has been done in original by the authors, and the work used has been acknowledged properly.