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This study aims to examine the relationship between green supply chain management (Green SCM) practices and environmental performance, and develop an integrated model to explain the mediating role of ecocentricity on the relationship between Green SCM practices and environmental performance in the context of the Ghanaian downstream petroleum industry.

To address the objectives of the study, a survey had been conducted among companies in the Ghanaian downstream value chain. The paper used the structural equation modeling approach and smart partial least squares (Smart-PLS) analytical tool.

The study revealed that Green SCM practices had a significant and positive relationship with supply chain ecocentricity and environmental performance. The study further revealed that supply chain ecocentricity significantly mediated the relationship between Green SCM practices and environmental performance.

The study has developed a new integrated model to enhance oil and gas marketing and distribution company's adaptation and implementation of Green SCM practices.

The study had successfully applied the natural resource-based view and the stakeholder theory in the context of Ghana's downstream petroleum industry. Specifically, these theories had been integrated to form a new model to explain the relationship between Green SCM practices, supply chain ecocentricity and environmental performance in the context of Ghana's downstream petroleum industry. The newly developed integrated model has wider predictability as compared to the individual theories.

This paper aims to empirically examine the factors driving the acquisition of patents and foreign technologies in 2,198 firms spanning multiple industries in Visegrád countries.

To fulfil the research objectives, the authors used the binary logistic regression models for the empirical specifications to analyse the various hypotheses to ascertain the factors contributing to patents, foreign technologies and international quality certificate acquisitions in Visegrád countries.

The results show that technological innovations, in-house and external research and development, intense competition from the informal sector and external knowledge search positively influence firms to acquire patents, foreign technologies and international quality certificates. The study further showed that certain firm characteristics, such as size, having a board of directors, female top managers and top managers’ experience, positively influenced firms’ ability to obtain patents, foreign technologies and international quality certificates.

The authors provide new insights into understanding the factors contributing to international technological linkages in the context of transitional countries such as the Visegrád four group. The authors have shown that international technology linkages through foreign technology licences and international quality certifications are vital for innovations in transition economies.

The purposes of this study are: to investigate how the dimensions of resource competitive strategies impact on small and medium enterprises’ (SMEs) intention to invest in Ghana’s downstream petroleum sector and to develop a model to explain the moderating role of local content policy on the relationship between competitive strategies and investment intention of SMEs. Focusing on the Ghanaian SMEs, quantitative research approach and survey questionnaire have been used. The research hypotheses have been tested using variance-based structural equation modeling technique.

Since the Ghanaian Parliament passed the Local Content and Local Participation Policy (LI.2204) into law in 2013, successive governments have strived to optimize oil and gas benefits and encouraged local participation, yet the actual impacts are mixed, ambiguous and inconsequential. This paper further argues that the extent to which the local content policy role moderates the relationship between firms’ internal resources (proxied as competitive strategies) and investment intention in the energy sector remains largely unexplored.

The results have shown that competitive strategies such as entrepreneurial competency, finance resources and technological usage have positive and significant effects on SME's investment intention. Again, local content policies exert significant moderating effect on SMEs’ investment intention.

The policy implication of these results includes the need to strengthen regulatory capacity of the Petroleum Commission to enforce local content implementation in Ghana to enhance indigenous participation in the sector.

Theoretically, using the resource-based view theory, this study has offered a robust predictability of SMEs investment’s determinants in an emerging economy.

The current study is designed to investigate the factors that foster the framing of destination competitiveness and establish the factors that drive the contribution of tourism innovations to economic growth in smart tourism destinations.

A four-year panel data were extracted from the World Economic Forum's travel and tourism competitiveness index and data were analysed using Poisson Pseudo Maximum Likelihood regression model.

The findings demonstrate that both the enabling environment and airport infrastructure significantly affect tourism's impact on the economy of the selected smart European tourism destinations. Conversely, human resources and general infrastructure display a negative correlation with tourism's contribution to the economy. However, no data in the sample support the idea that tourism policies, government prioritization or readiness of tourism information and communication technologies impact tourism's contribution to the economy. Additionally, the marginal effects indicate that improving the enabling environment and airport infrastructure can generate additional benefits for the economy through tourism.

The uniqueness of this study is the integration of smart tourism destinations with the measure of destination competitiveness to provide an empirical bridge that links tourism competitiveness to economic growth.

The purpose of this study is to introduce innovative ideas into the treatment of the radical and incremental innovations and to fill the research gap by using: (1) methods that can perform complicated tasks and solve complex problems leading in creation of radical and incremental innovation and (2) a broad sample of firms across countries. The authors’ ambition is to contribute to the scientific knowledge by producing evidence about the novel usage of artificial neural network techniques for measuring European firms' innovation activities appearing in black boxes of innovation processes.

In this study, the authors incorporate an international context into Chesbrough's open innovation (OI) theory and, on the one hand, support the hypothesis that European radical innovators benefit more from foreign cooperation than incremental innovators. On the other hand, the results of the analyses show that European incremental innovators rely on domestic cooperation supported by cooperation with foreign public research institutes. Moreover, the use of decision trees (DT) allows the authors to reveal specific patterns of successful innovators emerging within the hidden layers of neural networks.

The authors prove that radical European innovators using either internal or external R&D strategies, while the combinations of these strategies do not bring successful innovation outputs. In contrast, European incremental innovators benefit from various internal R&D processes in which engagement in design activities plays a crucial role.

The authors introduce innovative ideas into the treatment of hidden innovation processes and measuring the innovation performance (affected by domestic or international cooperation) of European firms. The approach places emphasis on the novelty of innovation and the issue of international cooperation in the era of OI by designing the framework using a combination of artificial neural networks and DT.

This paper aims to investigate the influence of the regional business environment on local firm innovation, considering various dimensions such as administrative, financial and legal environments.

Multiple regression analysis is employed to analyze archival data for firms listed on Chinese stock markets.

We find that the optimizations of the administrative and financial environments positively affect firm innovation, whereas the legal environment does not exert a similar impact. Our analysis also reveals that the business environment’s optimization significantly influences innovation in firms that are small, non-state-owned and operating in high-tech industries. Furthermore, the business environment acts as a moderating variable in the relationship between firm innovation and firm value.

This study contributes to a more comprehensive understanding of institutional-level determinants of firm innovation, highlighting the nuances of the legal environment and the importance of context-specific analysis, especially in emerging markets like China.

Developing countries can significantly enhance firm innovation by improving the business environment, including the optimization of administrative and financial systems, reducing transaction costs and ensuring capital supply. Tailored legal frameworks and alternative institutional strategies may also be explored.

This study explicitly emphasizes the governmental role in promoting firm innovation, shedding light on policy formulation and strategic alignment with local administrative policies.

To the best of our knowledge, this paper is the first to explore the relationship between the business environment and firm innovation using World Bank indicators in an emerging market context, providing novel insights into the unique dynamics of legal, financial and administrative sub-environments.