نشریه مطالعات زیست بوم اقتصاد نوآوری
سال چهارم شماره 3 (پیاپی 15، پاییز 1403)

The catch-up effect refers to a theory that holds that the per capita incomes of emerging and developing nations will eventually converge with the per capita incomes of more developed, wealthier countries. This study employs the economic catch-up index to answer two key questions: First, has the COVID-19 shock altered the trajectory of global economic catch-up? Second, if such a shift has occurred, has the quality of innovation within countries contributed to better performance and facilitated catch-up during the pandemic compared to the pre-pandemic period? To address these questions, the catch-up index was estimated for 194 countries across both pre- and post-pandemic periods. Using a mean comparison test, the economic catch-up index before and after the pandemic was compared, categorizing countries into three groups based on their performance: (1) Worse than before, (2) No change, and (3) Better than before. Finally, generalized ordered logit regression models were applied to examine whether the quality of innovation improved the catch-up trajectories. The results indicate that innovation plays a crucial role in enhancing countries' economic performance post-pandemic. Specifically, an increase in the innovation index reduces the likelihood of experiencing diminished economic catch-up following the pandemic shock by 0.011 to 0.027 units. Furthermore, countries with higher levels of innovation were 0.003 to 0.013 units more likely to be classified in the group with improved catch-up performance. Notably, the impact of innovation on recovery was more pronounced among lower-middle-income countries, suggesting that innovation serves as a stronger catalyst for economic catch-up in these economies.

Due to the innovations in the IT industry in recent years, the dependence on cloud computing technology has increased. Cloud computing has grown significantly in recent years and its adoption is a current infrastructure challenge for the software industry, as it creates a fundamental change in this industry. Despite the extensive benefits of cloud computing services, the adoption of these services by organizations remains limited and many software companies are hesitant to adopt this technology for various reasons. This study examines the factors affecting organizational decisions to adopt cloud computing using the technology-organization-environment framework.

This research utilizes a combination of methods, including the systematic literature review approach proposed by Kitchenham and Charters (2007), content analysis, and thematic analysis. A total of 26 articles published between 2014 and 2024 were selected. Supplementary data were collected through interviews with nine senior decision-makers specializing in software and cloud computing from leading Iranian software companies.

The results indicate that technological factors such as security, complexity, compatibility, and relative advantage; organizational factors including top management support, organizational size, and cost savings; and environmental factors such as competitive pressure, supportive policies, and external expertise are the most critical components influencing cloud computing adoption in Iran’s software industry. Balancing these factors is essential to accelerating digital transformation within organizations.

This study highlights the significance of addressing all technological, organizational, and environmental aspects by identifying and categorizing these factors. The findings suggest that organizations focusing on these elements can facilitate cloud computing adoption and achieve digital transformation. Special attention to supportive policies and infrastructure development can play a pivotal role in enhancing the productivity and competitiveness of Iran's software industry.

The implementating of communicating governance based on the ecosystem of innovation in small and medium-sized companies of Kohgiluyeh and Bairahmad , which actually requires the bedding of a platform and the make of necessary reforms.target: The aim of the current research is to peresent communicating governance based on the innovation ecosystem in small and medium companies in Kohgiluyeh and Boyar Ahmad .

It was descriptive and correlational. In this research, data analysis was made in three levels. In the first level, descriptive data analysis was made. In the second level, inferential data analysis was made, and finally, the main research model was extracted with smartpls software. The statistical population of this research is all the employees and managers of the companies located in Kohgiluyeh and Boyer Ahmad of and using of the statistical sample size formula of 200 people, which is simple random sampling in terms of the sampling method. The research measurement tool consists of three standard questionnaires. Relational governance was used in small and medium enterprises of Kohgiluyeh , Boyer Ahmad, which its validity and reliability were made.

peresenting the communicating governance based on the innovation ecosystem is effective both in promoting trust between actors and in adhering to norms and reciprocity, opportunitical behaviors and ensuring to relationships between actors.

This research showed that communicating governance based on the ecosystem of innovation and its dimensions (trust, interaction between actors, opportunistic behaviors, norm and mutual action, common goals and interests) is used in small and medium companies of Giloye Boyer Ahmad. Also, communicating governance can integrate to relationships between actors, strengthening mutual trust and reciprocity and impartial distribution of profits between actors perform pelentyful helping

Innovation is considered as a key factor in creating economic value and gaining a sustainable competitive advantage in the current complex environment. In this research, the effects of this approach regarding sustainable development and environmental issues are examined with regard to establishing the innovation process as a fundamental challenge in industrial societies. The present research has been carried out through the combination of previous research with the aim of providing a comprehensive picture of planning a model regarding the design of the dimensions and components of the industrial innovation process based on circular economy. Industrial and circular economy In various scientific databases, the necessary dimensions and steps were used for a comprehensive summary and then applied in two stages with the opinion of experts and according to the fuzzy Delphi technique in order to screen and confirm them.210 related articles were purposefully reviewed based on the CASP evaluation criteria, and finally 58 articles were selected for the final research. The output of the research findings obtained from the meta-combination method in the form of a comprehensive questionnaire, after screening by the fuzzy Delphi method in two stages, was confirmed to answer the main question of the research, which is the circularization of the industrial innovation process, in 4 stages and 12 dimensions. In each sector based on the circular economy as an effective framework and model to expand the results in line with the goals of sustainable development in this research.By identifying the effective factors in creating the process of industrial innovation, the present research has developed a theory and created serious insight in this field, and it can be a basis for the operationalization of circular economy strategies in the ecosystem of industrial innovation and lead to new innovation opportunities.

Accelerators have emerged as pivotal players within entrepreneurial ecosystems, significantly contributing to the growth and development of startups, particularly digital ones. By providing crucial resources like financial support, mentorship, and networking opportunities, accelerators empower startups during their formative stages. However, the effectiveness of these collaborations is often hindered by various challenges. This research delves into these challenges within the context of Iran's entrepreneurial ecosystem. Employing a qualitative research approach, this study utilizes in-depth interviews with twelve managers from both accelerators and digital startups to gain rich insights into the collaborative dynamics. Thematic analysis was employed to identify and categorize the challenges encountered. Findings reveal that the challenges can be broadly classified into four main categories: internal barriers within accelerators, internal barriers within startups, relational barriers between the two parties, and external environmental barriers. The internal challenges within accelerators, for instance, relate to factors such as limited resources, lack of specialized expertise, and bureaucratic constraints. Startups, on the other hand, face challenges such as a lack of experienced founders, inadequate market knowledge, and difficulties in scaling. Relational barriers often stem from misaligned expectations, cultural differences, and communication breakdowns. Finally, environmental barriers include factors such as a lack of supportive government policies and a limited investment ecosystem. By identifying these challenges, this research offers valuable insights for policymakers, accelerator managers, and entrepreneurs. Understanding these barriers is crucial for fostering more effective collaborations and ultimately, enhancing the overall health of Iran's entrepreneurial ecosystem. The study contributes to the growing body of literature on accelerator programs, providing a context-specific analysis of the challenges faced in a developing country setting.

The role of science and technology parks (STPs) in driving innovation and bridging the gap between industry and academia hinges on fostering a robust network of interactions and collaborations. Consequently, understanding the networking processes within these centers is crucial. This study aims to develop a networking model for STPs within the framework of an innovation ecosystem, employing systematic review, fuzzy Delphi methodology, and structural equation modeling. The research involved the selection of seven reputable scientific databases for article extraction. 42 studies, published between 1990 and 2020 (Gregorian calendar) and 1360 to 1401 (Persian calendar), were systematically reviewed and coded. The derived codes were subsequently presented to 15 experts as a Delphi questionnaire. The findings identified 16 networking indicators grouped into three levels: antecedents, decision-making, and outcomes. In the proposed networking model for STPs, at the antecedent level, the cultural and geographical environment exhibited the highest effect coefficient (1.23), while infrastructure demonstrated the lowest (0.59). At the decision-making level, operational decisions showed the highest effect coefficient (5.84), whereas external interaction had the lowest (1). Finally, at the outcome level, the component related to entry into new markets achieved the highest effect coefficient (1), while innovation had the lowest (0.41). Overall, the model displayed a good fit, offering a structured framework for enhancing networking in science and technology parks.(Based on the opinion of the first reviewer, in order to strengthen the article, it was recommended that the Persian and Latin abstracts should be between 150 and 250 words. Therefore, this was taken into account in the amendments made. Of course, it seems that the system settings should be changed in this regard).