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The purpose of this study is to determine the relationship between the geographic market size of businesses and the competitiveness of being able to bid at low prices.

The design of this study is based on a natural experiment approach. Firstly, after controlling for the firm size and other factors, the author sees that firms participating in bidding in a large region are more competitive to bid at lower prices than firms doing business in a smaller region. The author then tests for causality in a natural experiment of the exogenous event.

The results show that firms participating in the bidding process in a large area are more competitive to bid at lower prices than firms doing business in a small area. This is tested in a natural experiment, and the result is that they are more competitive because they do business in a larger area.

The practical implication is that, when aiming for competitiveness, it is most important to consider the nature of the business and to see the essence of the business, for example, that networks are important in the construction industry, and that doing business over a wide area is the way to become competitive.

The social implications are that to make firms more competitive, we must look at the characteristics of the industry and come up with policies that fit the reality, such as encouraging them to do business in a wide area.

The originality of this study is that this study viewed competitiveness as being able to bid low prices for public procurement and found that doing business in a wide area is competitive. Furthermore, the causal effect of the study was to test the fact that doing business in a wide area does not mean doing business in a wide area because it is competitive, but that doing business in a wide area creates a competitive advantage.

The purpose of this paper is to explore the impact of firm-, finance- and country-specific indicators to the performance of companies under the COVID-19 outbreak.

The study uses a regression performance model for enterprises during the COVID-19 crisis. The investigation is based upon a data set of 5,730 firms from 13 countries collected by the World Bank through enterprise surveys. The author combined the analysis of traditional performance measurements with the testing of relatively novel variables.

This study confirms the significance of multiple factors for company performance: sector, size, participation in exports and market demand for firms’ products. Robust financing solutions during the coronavirus pandemic period include equity contributions, followed by firms’ cash balances and debt. Support by a government, however, has not yet been confirmed as a significant source of finance. This paper also suggests the importance of country-specific factors for the performance of enterprises, including the level of economic development and the corporate governance infrastructure.

The research outcomes might assist regulatory bodies, policymakers and companies in their formulation of public and corporate governance strategies concerning future emergency preparedness and responses.

This paper is among the first empirical studies in the management realm that addresses the impact of COVID-19 on company performance, with cross-national empirical data.

The purpose of this paper is to investigate possible improvements in the pursuit of the sustainable development goals (SDGs) by multinational enterprises (MNEs) through an analysis of the literature.

A critical framework based on Gleicher’s formula for change is provided after conducting a systematic literature review.

The best way to pursue the SDGs is through an integrated approach that recognises the importance of MNEs in terms of possibilities and power of action. Working towards the SDGs appears to be largely limited by three aspects of the problem: its complexity and wickedness, the genuine interest in reaching some SDGs, at the expense of profit and low foresight.

A fundamental limitation of the study concerns, as in most of the literature on the matter, the impossibility of providing an optimal solution to the problem of meeting the SDGs, given their nature. However, formulating the best definition of the problem and its characteristics can contribute to making its management better.

This study has social implications due to the extreme importance that many SDGs have with regard to democracy and social equity, beyond their environmental and economic aspects.

The claimed contribution is the value brought by the synthesis of several points of view, through the interdisciplinary analysis of the research question. The novelty consists in organising the literature according to the formula for change.

This study introduces a comprehensive bibliometric analysis of the foreign direct investment (FDI) literature by multinational corporations (MNCs) focusing on emerging economies to identify the most influential authors, journals and articles in FDI research and reveals the fields' conceptual and intellectual structures. The purpose of this paper is to address these issues.

The study analyzed 533 articles published between 1974 and 2020 in 226 academic journals indexed in the Web of Science (WoS) and Scopus databases. We used the R language for statistical computing to map author collaboration, co-word and develop a conceptual and intellectual map of the field.

The results show that, although the FDI literature has many authors, few dominate the field. The International Business Review (IBR) and International Journal of Emerging Markets (IJoEM) are the main sources of the publications. Moreover, bibliometric laws show that our dataset follows the Lotka law of scientific productivity and Bradford law of scattering, identifying the core journals. Finally, FDI by MNCs in emerging economies research is divided into four sub-research themes related to (1) FDI determinants, (2) entry mode, (3) MNCs and FDI performance and (4) the internationalization process.

The current article provides several starting points for practitioners and researchers investigating FDI. It contributes to broadening the vision of the field and offers recommendations for future studies.

This paper aims to offer a long-term systematic picture of the evolution of manufacturing offshoring (in terms of intensity, geography and drivers) highlighting the changes in the surrounding context and the resulting transitions points (“points in time”) that have shaped its development path.

Three statistical tools were adopted on a dataset of 644 cases. First, the authors resorted to multiple structural change tests to identify the transition points. Second, the authors explored offshoring geography by conducting a network analysis. Finally, the authors adopted gravity models to shed light on offshoring drivers.

Results highlight three offshoring phases: expansion (2002–2006), reconsideration (2007–2009) and rationalization (2010 onwards). During the first phase, characterized by economic growth, firms were mainly interested in economic savings; offshoring to low-cost countries was the prevailing location strategy. Subsequently, during the economic crisis, the number of cases declined and the main drivers became market-based factors together with the research for cost savings. Finally, in the third phase, when the economy was still stagnating and new manufacturing technologies appeared, the number of offshoring cases has further decreased, and technological- and market-based factors have become the main location drivers.

The study is the first to adopt a systematic, empirical and quantitative approach to analyze the evolution of the manufacturing offshoring considering both the phenomenon itself and the triggering changes in the surrounding context. In doing this, the authors also tested the importance of considering the point in time in offshoring strategies.