فصلنامه رشد فناوری
پیاپی 73 (زمستان 1401)

Today, innovation, flexibility and readiness for change are the most important factors for economic development in different countries. Examining the experiences of other countries and the new approaches of the world regarding sustainable development based on innovation, points out that moving towards a knowledge-based economy requires the recognition of innovation as the main factor. On the other hand, innovation is a complex process, and in order to achieve an innovative and sustainable business environment, a set of actors, stakeholders, infrastructures, policies, as well as a set of norms and rules must exist together and be able to interact well with each other as a network. Such a complex environment has a behavior similar to natural ecosystems, where component interacts with each other. Therefore, in recent years, a model has been introduced to describe innovation ecosystems, which is called the rainforest model. In this article, an attempt has been made to describe the behavior of innovation ecosystems from the perspective of this model. This model provides a tool called the rainforest scorecard, which is a suitable measure for evaluating and analyzing innovation ecosystems. In the second half of this article, the evaluation and analysis of two innovation ecosystems of Yazd and Mazandaran provinces have been done using this model. The results of this survey show that the Yazd innovation ecosystem is in a much better condition in terms of hardware than the software aspect and the culture that dominates the ecosystem. But in Mazandaran, both the hardware and software parameters of the ecosystem are more or less similar to each other and need to be strengthened.

The fourth industrial revolution, with the convergence of new technologies, has led to the emergence of smart cities. While the smartening of cities by governments has been happening at a high speed, the concept and implementation of the smart city are still being updated and changed. In this regard, the current research aims to analyze the thematic trends of publications on smart city in the Web of Science (WoS) database from the emergence of the fourth industrial revolution to 2021, and track the thematic trends of these studies. This scientometric research was carried out descriptively with the content analysis method, using the techniques of co-occurrence analysis and social network analysis. The trends of publications and citation influence of studies in the field of smart cities in the last decade has had an upward growth of 38.78% and 69.49%, respectively. In the three time periods, "IoT, City, Internet, and Wireless Sensor Network" have the most frequency, "IOT, City, Internet, and Wireless Sensor Network" have the most connections, and "ipv6, Sustainable City, and Urban Development" in 2012–2015, "Taxonomy, cloud objects and distributed computing" in 2016–2018 and "Literature review, urban informatics, and sustainable urban development" in 2019-2021 have received the most citations. In 2012–2015, clusters of sensor networks, smartphones, genetic algorithms, advanced sensors, ubiquitous city, and m2m; in 2016-2018 clusters of deep learning, participation, evolutionary algorithms, ubiquitous computing, and smart cities; and in 2019-2021 blockchain clusters, participation citizenship, IoT, topics, technologies, and tools.multi-agent systems, and Brazil were identified.

By increasing the role of innovation in the economy of countries and turning it into the most important competitive advantage, attention to this concept has increased. Analysis and design of systems that foster innovation have thus been the focus of science and technology policymakers in recent years. One of these systems that have generated many debates in the scientific and professional communities in the field of innovation over the past decade is the innovation ecosystem. Iran’s power and water industry, including numerous companies, research and technology organizations, technological and knowledge-based companies, and supporting institutions can be considered an innovation ecosystem whose elements interact with each other to exchange value to reach the goal of providing reliable and sustainable water and electricity for the society. This article is the result of a project to analyze, design, and establish the energy innovation ecosystem. In this direction and based on soft modeling methods, role analysis and mapping workshops were held with stakeholders and key players of the energy innovation ecosystem. The approach of complex adaptive systems was used to identify and analyze the dynamics of this ecosystem. Based on the obtained results, the roles and duties of each of the actors of Niro's innovation ecosystem were obtained in the form of an aligned structure including two levels of counter and support elements in the scope of the commercialization process. The results of this article can provide researchers and activists in this field with a new perspective on the policy-making of innovation ecosystems.

The purpose of this study is to investigate industry 4.0 advancement in various application areas of Iranian industry using Internet of Things -based achievements and technologies. In this research, 112 articles were studied by searching for specialized keywords related to the topic and using valid research sources. In the following, 88 abstracts of articles related to Internet of Things applications were reviewed. In the review we finally made up the 32 title of our article on the subject literature. According to the subject literature, various applications of iot were extracted and categorized in a table; Then, by forming a target group of experts and designing a paired comparative questionnaire for the AHP method and using Expert Choice software, the results showed that according to infrastructure criteria, financial support, senior management support, training training, firmware availability., Communication Security, Expertise and Desire for Innovation, Intelligent Manufacturing Including Automotive Industry, Intelligent Industrial Control and Manufacturing, Supply Chain Management and Support, Smart Networks, Intelligent Logistics, Intelligent Manufacturing Services and Processes, etc. Industry 4.0 with Internet of Things technology. There is also a low level of environmental and recycling usability that requires senior managers to support Internet of Things technology transfer strategies, the use of Internet of Things specialists, and the financial support of upstream managers to leverage the Internet of Things -compliant infrastructure. This area will pave the way for industry 4.0.

During the last decades, the global competition to hunt talent has intensified. Therefore, three is a great competition among new and traditional receiving countries to attract entrepreneurs and skilled migrants who have the considerable ability to create jobs or economic benefits. In this regard, receiving countries through some specific programs like startup visas pave the road for innovative entrepreneurs and startup founders. This paper, reviews what startup visas are, how the countries apply them for attracting entrepreneurs and startups and finally considers the bilateral effects of startup visas on entrepreneurship and innovation ecosystem of countries.

The aim of this study was to investigate the effect of Facilitating Conditions, Transparency, Stakeholder Trust, Social Influence and Performance Expectancy on the Adoption of Blockchain Technology through the Intention to use Technology in the Tourism Industry; Case study: Travel Services Offices in Tehran which based on the practical purpose, based on The data collection time is survey. Its validity and reliability were confirmed. The reliability of the questionnaire was obtained by Cronbach's alpha test for the whole questionnaire at 0.76. The statistical population of this study includes managers and staff of travel service offices in Tehran and the sample size is 384 people and the sampling method is available. The data analysis method to evaluate the hypotheses is a simple, multiple and mediated regression model. According to the findings, Behavioral Intention, Performance Expectancy, Social Impact (Social Influence), Facilitating Conditions on Behavioral Expectations for Blockchain Adoption had a positive and significant effect, but Trust among Supply chain Stakeholders did not have a positive and significant effect on Behavioral Intention to use Blockchain. The findings of this research indicate that the activity of Iran's tourism industry, using blockchain as a communication platform to pay for services, has a positive and effective effect on foreign tourists.

Today, many countries look at the phenomenon of innovation as a tool for economic growth and development. The existence of many complexities in the path of creation to the application of innovation has caused many scholars to consider innovation in the form of an ecosystem. One of the reports that measures the innovation ecosystem in detail is the Global Innovation Index. This index examines different aspects of innovation by using seven pillars, each of these pillars has three sub-pillars and each sub-pillar has a number of indicators. With a history of 12 years in the report, Iran has gone through a growing trend, so that it has reached from the 120th rank in 2014 to the 53rd rank in 2022. The study of Iran's situation in various indicators shows that the country has a very favorable situation in the world in the education of university graduates, scholarly publications and domestic patents, while it has an unfavorable situation in the indicators related to the business environment and innovation collaborations. Due to the lack of data or not being up-to-date, Iran's situation in some indicators and sub-columns cannot be accurately cited. This point clearly shows that the policy maker must have an up-to-date internal database to evaluate the innovation ecosystem in order to adopt effective and flexible policies.