Recent research has started to explore the positive effects of presence of multiple MNE (multinational enterprises) subsidiaries on individual subsidiary performance. In addition, there is research which argues that local listing (of a subsidiary) would enable access to pertinent local knowledge. Combining these two streams of research we argue that the unlisted subsidiary could learn from the listed subsidiary when both are owned and operated by the same parent MNE in the host-country. This learnt knowledge in turn should result in higher sales growth for the unlisted subsidiary. We add that the learning should be higher if the listed and the unlisted subsidiary operate in the same industry and are proximally located to each other. We will test these hypotheses on a sample on MNE subsidiaries operating in India in the period of 2000-2013.

Micro, small and medium enterprise (MSME) sector is the backbone of the Indian economy and technical efficiency is a key indicator of firm performance. However, understanding the determinants of technical efficiency in these enterprises is essential for ensuring their sustainable growth. This study explores the complex dynamics of technical efficiency and offers insights for policymakers seeking to enhance the performance of MSMEs operating in the Indian manufacturing sector. Technical efficiency is measured using data envelopment analysis (DEA) and firm-specific characteristics are analyzed to investigate the determinants of technical efficiency. The results reveal compelling evidence of age, size, market concentration, debt capital, vertical integration, R&D, export and import orientation significantly affecting a firm's technical efficiency. Ownership structure and geographical location of the firm reveal interesting patterns as well. Moreover, technology classification shows that high technology firms exhibit lower level of technical efficiency in comparison to low technology firms.

ABSTRACT
Taking a case of firms operating in the Indian software industry, this paper examines the role of technological capability and cluster location on the firm’s cross-border acquisitions (CBAs) behavior. The results obtained using secondary data analysis of 1555 firms, for a period from 2008 to 2018, reveal that a firm’s technological capability in the form of certifications leads to increasing CBAs up to a point, after which they decline. Firms located in clusters show opposite behavior with reduced certification and CBAs initially, which begin increasing in later years. Our results present new theoretical insights and implications for managers attempting to undertake CBAs in the technology intensive sector.

This paper investigates the effect of multiple principal problem (MPP) on internationalization strategies of Emerging Market Firms (EMFs). EMFs, often resort to import of critical components from offshore markets to overcome inherent shortcomings in producing or procuring them from within or that of the home market. Such imports to boost export performances, lie at the core of their internationalization strategy. However, these strategic import-based performances receive dissimilar favor from different types of owners/investors. Specifically, we highlight the dichotomy between foreign versus domestic owners, and active versus passive investors. Empirically modelling a panel dataset of 872 Indian firms, from 1988 to 2019, we find that active domestic investors promote strategic imports-based internationalization to boost the firm’s export centric competitive advantages. But other investors oppose this medium of internationalization due to their specific interests thus triggering MPP for EMFs. MPP complements agency perspective and calls for further investigation into specific governance mechanisms.