International Entrepreneurship and Management Journal最新文献

This study investigates the influence of recent technological advancements and collaborative networks on the burgeoning landscape of digital entrepreneurship, particularly within the Middle East and North Africa (MENA) region. For this purpose, the research design employs a mixed-method approach, which combines qualitative and quantitative data collection methods. Semi-structured interviews with MENA-based entrepreneurs have provided in-depth insights into the dynamics of the digital entrepreneurial ecosystem, and the perceived impact of technology on their ventures. Subsequently, a quantitative survey has been administered to eighty respondents, and the data is analyzed using Structural Equation Modeling (SEM), with Partial Least Squares (PLS) path modeling. The findings from both methodologies are expected to illuminate the positive influence of technological advancements and collaborative networks on digital entrepreneurship within the MENA region. Gaining an understanding of these factors can guide policymakers in fostering innovation in ecosystems and stockholder investments that support collaborative digital ventures in the MENA region.

The environmental component has become a critical element in ensuring the company´s survival leading to growing attention to green entrepreneurship. Environmental innovation, as the core of green entrepreneurship, has been widely recognized in the literature for its significant role in combating climate change; however, the different factors that encourage companies to embrace environmental innovations are still under investigation. The main objective of this study was to determine how top management commitment influences, both directly and indirectly, green entrepreneurship, proxied by environmental innovation, and its outcomes. This study was conducted in the Spanish wine sector, which has been relatively unexplored to date. We developed a Structural Equation Model (SEM) to test the proposed hypotheses. Our results reveal that the demand for sustainable products, regulation, and top management environmental commitment positively influence environmental innovation. Secondly, we found that investment in such innovations allows companies to simultaneously achieve higher financial and environmental returns. Furthermore, we confirmed that top management’s environmental commitment influences both the company’s perception of the importance of stakeholder demands and the relationship between environmental innovation and performance. These findings have significant implications for the environmental management and political regulation literature, particularly within the specific context of the wine sector.

Among the policies to support entrepreneurs, accelerators of companies are recognized in the academic, political and business environment as effective tools to support the creation of new companies by meeting their needs in their early stages. The purpose of this article is to detect variables relevant to predicting the success of an accelerator. To that end, a questionnaire of 87 questions was designed and distributed to all accelerators present in Spain at the end of 2022. In the first instance, an index is proposed to measure the success of accelerators using the statistic tool Principal Component Analysis. The index includes information such as the percentage of projects that have achieved the objectives set during the programme, the percentage of projects that continue their activity or the percentage that have received public/private funding. In this paper, through a multivariate lineal regression analysis, we identify the elements in an accelerator which contribute to its success, measured by the index obtained initially. The key factors that contribute to the success of accelerators are Profit making entity, Number of calls and Training seminar. This work offers suggestions for future research to explore the potential of business accelerators. From a practical perspective, the article provides managers of accelerators a guide to design and improve programs according to their goals.

This paper presents the concept of digital health, also known as e-healthcare, and discusses its current state of the art, enabling factors, and barriers. The focus is on the level of e-health literacy among the elderly population, the factors that influence it, the relevance of innovative digital health projects, the usability of digital tools, organizational models, and implications for the national health system. The study employed a research methodology consisting of two phases. A review of journal articles was conducted, followed by a longitudinal analysis of a case study of a project (TS4.0) launched by the Trentino Region. The study emphasises the need for training programmes on key IT and health technologies for underserved groups to improve the adoption of eHealth technologies by patients. Specific actions to achieve this goal are proposed, with emphasis on the crucial role of public institutions. For hospitals to fully embrace technology and become digital, healthcare facilities must undergo a business and managerial transformation that involves the use of technology. This case study highlights the importance of supporting healthcare start-ups to comprehensively improve healthcare. Although this study is limited to a single case, the results may be useful for further research in identifying other factors that enable or hinder the adoption of digitalisation in the healthcare sector.

This study examines the influence of Blockchain technology utilization (BTU), industrial internet-of-things (IoT), and resource-based management initiatives (RBMI) on innovation performance with the mediating role of organizational resilience in light of the resource-based view (RBV). Moreover, risk-taking tolerance is used as a moderator between organizational resilience and innovation performance. The Partial Least Square Structural Equation Modeling (PLS-SEM) technique was used to analyze the results. A simple random sampling technique was used to collect data from respondents. A total of 437 questionnaires were collected from the Pakistani automotive industry and used for final analysis. The finding reveals that industrial IoT and RBMI positively relate to organizational resilience and innovation performance. In contrast, BTU does not influence innovation performance but positively influences organizational resilience. Organizational resilience positively related to innovation performance. Organizational resilience significantly mediates between BTU, industrial IoT, RBMI, and innovation performance. Finally, risk-taking tolerance strengthens the relationship between organizational resilience and innovation performance. This research focuses on how management utilizes BTU, industrial IoT, RBMI, organizational resilience, and risk-taking tolerance in decision-making to examine innovation performance. This research initially develops a research model to incorporate BTU, industrial IoT, RBMI, organizational resilience, risk-taking tolerance, and innovation performance in RBV perspectives. Academicians, practitioners, and management can benefit from study results.

Eco-Corporate social responsibility (ECO-CSR) is a managerial strategy that includes the use of sustainable energy, using water in a way that meets ecological standards, production of eco-friendly products, the greening of public areas, waste management, recycling, protection against harmful gas emissions, an eco-friendly office and green travel policy. The aim is to reduce harmful effects on the environment. This paper analyses the level and purpose of ECO-CSR in 100 companies of the Italian region of Campania. The first objective is to analyse the three attitudes of the respondents using Likert scales and to answer whether the reason for the ECO-CSR activities is to increase reputation, marketing strategy or profit? The ECO-CSR toll was created for research purposes, measuring the company’s investment in energy from sustainable sources, waste management and recycling strategy, prevention of harmful gases and pollution by the company or the local community, as well as the greening of public areas, parks, riverbeds, seashores or lakes. Seven items from the ECO-CSR toll were subjected to Principal component analysis. Three factor scores were isolated, i.e. different strategies for ECO-CSR management. The multiple regression analysis was used to measure whether the factor scores influence the change of the company’s profit variable in the past two years. Based on the value of R², 67.2% of the variability of the dependent variable was explained by the influence of three factor scores. GEWR has the greatest impact, whose jump by one point leads to an increase in profit by 0.573.