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This paper aims to identify the relationship between national culture, enterprise application (EA) implementations and firm value for a sample of the largest and most actively traded firms in Japan, the United Kingdom and the USA. The study seeks to contribute to a better understanding of the cultural traits that play a role in successful technological innovation.

Using 11 years of price and accounting data, as well as corporate announcements from English- and Japanese-speaking sources, this study applies event study methodology and fixed-effects regressions to a sample of international adopters of enterprise resource planning (ERP), customer relationship management (CRM), supply chain management and firm-specific applications.

The results show a country-related contrast in the way investors perceive value in EAs. Investors with national cultures that are more collectivist perceive their firms to be well-prepared to extract value from large-scale technologies. In contrast, individualistic cultures seem to face more implementation challenges.

Although the study provides statistically significant results, a larger sample of countries and enterprise systems adopters would further enhance a generalization of results.

The empirical results provide evidence of the national culture traits that seem to increase the likelihood of success in enterprise systems implementations as seen from the perspective of actual investors.

The empirical study of how multiple EAs (ERP, SCR, CRM and SPECIFIC) and national culture differences interact with a market-based metric of value (stock market prices), while also using an international sample of firms from three distinct regions, is novel to the existent literature.

The need to improve sustainability in manufacturing firms, which would allow them to reduce the emission of pollutants and the generation of industrial waste, has stimulated the adoption of circular economy (CE) alongside lean manufacturing (LM) practices to significantly improve the sustainable performance of organizations. However, empirical evidence provided in previous studies and that has related the practices of LM, CE and sustainable performance do not allow establishing an interconnection between these three concepts. Therefore, this paper fills this gap in the literature by exploring the relationship between these three concepts.

A quantitative study in which data were collected from 460 managers working in the automotive industry in Mexico was conducted. The data allowed the testing and validation of four hypotheses through the use of partial least squares structural equation modeling (PLS SEM).

The results obtained suggest that LM practices have a significant positive influence both on sustainable performance and CE. In turn, the results also demonstrate the existence of a significant positive relationship between CE and the sustainable performance of manufacturing firms in the automotive industry as well as that CE has a positive role in mediating the interconnection between LM practices and sustainable performance.

The results obtained from the present study will allow entrepreneurs in the automotive industry and industry professionals as well as government authorities to formulate more effective policies and strategies to support the improvement of environmental sustainability performance in the manufacturing sector.

This is one of the first studies that have investigated the relationship between LM, CE and sustainable performance, particularly, in the automotive sector.

The tightening of environmental measures and policies in various countries around the world is forcing manufacturing companies, particularly those that make up the automotive industry, to improve their production processes, through the implementation of approaches such as lean production (LP) and Industry 4.0 (I4.0) technologies, to reduce industrial waste. However, the literature indicates that the implementation of LP and I4.0 does not always lead to an improvement in the level of operational performance (OP). Therefore, this study analyzes the effects of the implementation of LP practices and I4.0 on a green supply chain (GSC) and the operational performance of manufacturing companies in the Mexican automotive industry.

A theoretical research framework consisting of six hypotheses was developed and validated by applying partial least squares structural equation modeling (PLS-SEM) and using a sample of 460 companies from the Mexican automotive industry.

The results show that the level of OP of manufacturing companies increases substantially with the implementation of LP and I4.0 practices, as well as a GSC.

Managers of manufacturing companies will be able to use the results of this study to improve their production systems and to demonstrate the effects of these practices on OP.

This study contributes to the literature on LP and I4.0 by providing robust empirical evidence of the positive effects of implementing these approaches on the GSC and OP of manufacturing companies.