Nowadays, when we are facing several strict regulations, the question arises - does higher strictness lead to the desired results? This study addresses the fact that less research attention has focused on the effects of environmental policy stringency (EPS) on perceived health expressing quality of life, and on green international cooperation. In addition, previous research has provided rather mixed results on the impact of EPS on green innovation. Therefore, we fill an interesting research gap and help better understand the relationship between market-based and non-market-based EPS, perceived health, green innovations, and green international cooperation in OECD (Organization for Economic Co-operation and Development) countries. Using three complementary databases provided by OECD, Eurostat, and the World Bank and the classical linear regression model, we confirm hypotheses that strong market-based EPS and green international cooperation have positive effects on perceived health. Surprisingly, contrary to the findings of prior research, we do not confirm the positive effects of market-based and non-market-based EPS on green international cooperation. This study contributes to the literature on the Porter hypothesis, technological collaborations in green technological development, and environmental innovation theory. In addition, this study provides several practical implications for policymakers across OECD countries.

Research background: Despite the increased interest in business model innovation (BMI) in the last 20 years, the current research landscape still lacks empirical efforts aimed at investigating the underexplored link between BMI and innovation performance. This is doubly true in specific contexts like Central European countries, whereas innovation systems are weaker than in Western ones, and firms strongly depend on internal R&D activities and absorptive capacity and technology upgrades via cooperation with other countries. Purpose of the article: This study draws on the BMI theory with the aim of analyzing the effects of each individual BMI element on firms’ performance in terms of creation of radical innovations vs incremental ones. Methods: The data used are from the Community Innovation Survey (CIS) 2018 — the latest micro data available to date — focusing on 16,364 firms in Central Europe, namely 5,749 Czech, 7,377 Hungarian, and 3,238 Slovakian firms. As the explained (dependent) variables are dichotomous (binary: 1 indicates the answer is yes, 0 indicates the answer is no) for all estimated models, a binary logistic regression is used in order to focus on the individual elements representing BMI and analyse their separated effects on firms’ creation of radical and incremental innovations in Central Europe. Individual BMI elements are: BMI methods, logistics, communication, accounting, external relations, human resource management, and marketing. Moreover, we check for control variables such as tax credits and allowances of R&D, public funding of innovation, cooperation with other organizations on R&D or other activities, in-house R&D activities and contracted out ones, lack of finance, lack of skilled employees and internal financial resources, and size. Findings & value added: For radical innovators, practices for organising procedures and external relations are important. For incremental innovators, methods of organising work responsibility, decision making, and human resource management are significant. Surprisingly, regardless of the innovation radicality, several BMI elements are significant. This study suggests that managers should enhance strategic collaborations with external partners out of Central Europe, exploit their absorptive capacity, and increase the knowledge and experience of their employees, whilst policymakers should keep on providing tax credits and allowances for innovation activities, maintaining a supportive infrastructure and reducing administrative burdens.

Recently, there has been increasing pressure to change current performance measurement and management systems from control systems to those that support learning and continuous improvement. This change requires a specific corporate culture that supports the effective operation of performance measurement and management. This paper aims to clarify the relationship between corporate culture and performance measurement and management systems. Questionnaire survey data from Czech medium and large companies were collected and analyzed by Pearson’s chi-squared test to validate the proposed hypothesis. The research findings confirmed that performance measurement and management systems of companies that devoted sufficient energy and attention to performance-driven culture are more effectively developed. Analysis of different performance-driven culture attributes revealed which are the most important ones.