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Entrepreneurship is known to be important to the economy, and many scholars across the globe have researched it from a number of viewpoints. Currently, there is a need for an academic study to explore this area by combining sustainability value creating practices and the efforts of current entrepreneurs towards the said target, particularly in the case of the agricultural sector. While the entrepreneurship studies have mostly focused on the determinants of entrepreneurial opportunity recognition, few studies have attempted to analyze the factors influencing the entrepreneurial alertness (EA) of students, especially in relation to agricultural students. To fill this gap, this work investigated the impact of human and social capital on EA among the students of agricultural higher education in Iran.

The sample consisted of 254 agricultural students in higher education from Ilam province in the Islamic Republic of Iran, selected by the stratified random sampling method for the study. Modeling of structural equations was used in inferential statistics.

According to the results of the trial, human resources and social capital (SC) have been seen to have a strong, optimistic and measurable impact on EA. Key findings also show that human capital (HC) has an indirect, optimistic and important effect on EA through the mediator role of SC. Establishing higher education science teams, groups, networks and associations can foster opportunities to create and develop relationships and communication between agricultural students and entrepreneurs.

These findings illustrate the value of human and social resources in fostering entrepreneurship alertness among Iranian students of agricultural higher education. Considering the research results, the authors recommend some theoretical and realistic implications and suggestions for ways of promoting and increasing EA among farm students to encourage sustainable growth of agricultural careers in western Iran.

As global warming intensifies, climatic conditions are changing dramatically, potentially affecting specific businesses and cities’ livability. The temperature increase in cities significantly affects urban residents whose percentage is to reach about 70% by 2050. This paper aimed at highlighting the climate change risks in cities, particularly focusing on the threats to people’s health due to a continuous temperature increase.

This study was conducted in three main steps. First, the literature review on the effects of climate change, particularly on the continuous temperature rise in cities, was conducted based on the publications retrieved from PubMed, Science Direct, Google Scholar and Research Gate. Second, the survey was conducted for the sample cities for one month. Third, the questionnaire was used to assess possible climate change threats to the livability of cities.

The findings showed that urban areas are usually warmer than the surrounding rural areas, mainly due to the urban heat island effect, causing more hot days in metropolitan areas compared to rural areas. This paper outlines some mitigation and adaptation measures, which can be implemented to improve the livability in cities, their sustainability and the well-being of their populations.

This study reports on the climate change impacts on the health and livability of 15 cities, in industrialized and developing countries. It examines the average and maximum temperature and relative humidity of each city and its correlation with their livability. It was complemented by a survey focused on 109 cities from Africa, Asia, Europe, Latin America, North America and Oceania.

The paper aims to investigate the possible changes in mean temperature in the Mongolian Plateau associated with the 1.5 and 2°C global warming targets and how snow changes in the Mongolian Plateau when the mean global warming is well below 2°C or limited to 1.5°C.

In total, 30 model simulations of consecutive temperature and precipitation days from Coupled Model Inter-comparison Project Phase 5 (CMIP5) are assessed in comparison with the 111 meteorological monitoring stations from 1961–2005. Multi-model ensemble and model relative error were used to evaluate the performance of CMIP5 models. Slope and the Mann–Kendall test were used to analyze the magnitude of the trends and evaluate the significance of trends of snow depth (SD) from 1981 to 2014 in the Mongolian Plateau.

Some models perform well, even better than the majority (80%) of the models over the Mongolian Plateau, particularly HadGEM2-CC, CMCC-CM, BNU-ESM and GFDL-ESM2M, which simulate best in consecutive dry days (CDD), consecutive wet days (CWD), cold spell duration indicator (CSDI) and warm spell duration indicator (WSDI), respectively. Emphasis zones of WSDI on SD were deeply analysed in the 1.5 and 2 °C global warming period above pre-industrial conditions, because it alone has a significant negative relation with SD among the four indices. It is warmer than before in the Mongolian Plateau, particularly in the southern part of the Mongolian Plateau, indicating less SD.

Providing climate extremes and SD data sets with different spatial-temporal scales over the Mongolian Plateau. Zoning SD potential risk areas and proposing adaptations to promote regional sustainable development.

This study investigates consumers' willingness to adopt genetically modified foods (GM) and the role of innovation and behavioral determinants.

A new integrated model that expands the Health Belief Model (HBM) into the Innovation Diffusion Theory (IDT) was developed and examined. A total of 241 consumers were selected from the capital of Iran, Tehran, through a multistage random sampling. The data were analyzed using SEM-PLS modeling.

The extended HBM model was able to predict about 84% of the variance changes in consumers' willingness to adopt GM foods. The effects of net benefit and perceived compatibility on the willingness were also significant. In addition, the mediating effect of compatibility on the relationship between net benefit/self-efficacy and willingness to adopt GM foods was also significant.

This study contributes to the literature by developing the HBM into the IDT to assess consumers' willingness to adopt GM foods.

This paper aimed to investigate the determinants of loans and advances from commercial banks in the case of Ethiopian private commercial banks.

The study randomly selected seven commercial banks to represent the population stratified on their asset, deposit and paid-up capital amounts. The study utilized an unbalanced panel data model as each bank started operation at a different period of time and considered the period 1995–2016 for secondary details.

The findings showed that the deposit size, credit risk, portfolio investment, average lending rate, real gross domestic product (GDP) and inflation rate had significant and optimistic effects on the lending and advancement of private commercial banks. On the contrary, liquidity ratio had significant and negative effects on private commercial bank loans and advances. Finally, the study forwarded a feasible recommendation for concerned organs to focus on deposit size, credit risk, portfolio investment, average lending rate, real GDP, inflation rate and liquidity ratio. The results of this study will help banking industry policymakers and planners understand how to minimize inflation and unemployment by improving development and sustainable economic growth.

The findings of this study can also affect the general attitudes of a society by increasing knowledge and improve the quality of life for the general public.

This study aims to assess and decompose the sustainable development using the 17 sustainable development goals (SDGs) in Iran in 2018, for proposing agenda-setting of public policy.

It ranks the SDGs not only in Iran but also in the region and the world to reveal the synergetic effects.

Based on the results, subaltern-populace generally suffers from the hegemonic domination of ruling elite-bourgeois, lack of strong institutions, heterogeneous policy networks and lack of advocacy role of non-governmental organizations, due to no transparency, issues in law or no rule of law, no stringent regulation, rent, suppression and Mafia, all leading to corruption and injustice.

To stop the loop of corruption-injustice, Iran should homogenize the structure of the policy network. Furthermore, the failed SDGs of the three-geographic analysis are the same in a character; all of them propose SDG 3, good health and well-being as a serious failed goal.

In this regard, strong evidence is the pandemic Coronavirus, COVID 19 since 2019, due to its highly-disastrous consequences in early 2020 where the public policymakers could not adopt policies promptly in the glob, particularly in Iran.

In Iran, in addition to this, the malfunction of health is rooted in “subjective well-being” and “traffic deaths,” respectively. Concerning the transportations system in Iran, it is underscored that it is damaging the sustainable development from all the three pillars of sustainable development including, economic, social and environmental.

This paper aims to recognise and identify fears of failure in the international entrepreneurship ecosystem and find the effects of these fears on each other to reduce these increasing effects and minimise the mental barriers for potential entrepreneurs. Therefore, this research is beneficial to strengthen international entrepreneurial personality and to reduce the shadows of fears on entrepreneurs’ minds. To address this purpose the international tourism industry has been investigated in the emerging economy of Iran.

This paper is organised based on experts' opinions, and then factors are identified by literature review and are finalised through the Delphi method with a panel of practical and academic experts. These fears are categorised using a questionnaire and factor analysis (FA) technique. The respondents were entrepreneurship students and tourism entrepreneurs. Subsequently, the effect and importance of fears of failure are scored and ranked by some experts. These fears were analysed through decision-making trial and evaluation laboratory (DEMATEL) method. The results presented the effects of fears of failure in the international entrepreneurial in the tourism industry and the relationship amongst them.

The first two fears are respectively “fears of future” which are caused by the unclear situation; and “fear of losing credit” that is due to the importance of “personal relationships” in Iranians culture. As pointed out by results, “fear of future” is the most effective group of factors that may lead to other fears too. This fear seems important in the international entrepreneurial tourism industry because of future ambiguity.

This study indicates the relations between groups of fears and offers some practical and applicable solutions to reduce these effects. To the best knowledge of the authors, analysing the relationship between fears amongst the entrepreneurs has not been investigated previously.

One of the largest floods in Iran happened in Nowruz in 2019, during which torrents of rain, flooding of rivers, landslides and the destruction of dams caused floods and led to financial losses and loss of life in 25 provinces of Iran. During and after the flood, 39 public libraries were closed, three libraries were evacuated and one was completely destroyed.

Despite the damage that occurred in the libraries, the preventive measures had been taken by many of them to reduce the whole damage. In addition, after the flood, responsible organizations including Iran Public Libraries Institution, the Institute for the Intellectual Development of Children and Young Adults and the Cultural and Art Organization of Municipality and the Mosques and Cultural Center, as well as other relief and social teams, and even people performed activities to reduce the negative impacts caused by the flood.

This article reviews these activities and their effectiveness. In the end, “the development of a plan for public libraries in natural and social crises” is proposed and the reasons for its necessity are discussed.

This article reviews these activities and their effectiveness. In the end, “the development of a plan for public libraries in natural and social crises” is proposed and the reasons for its necessity are discussed.

This paper aims to present the most influential factors on classroom indoor PM_2.5 (Particulate Matter < 2.5 µ), determining the level of PM_2.5 concentration in five pre-schools located in the most densely populated district of the Tehran metropolitan area (district 6) as a case study to consider the children's exposure to air pollutants and introducing a suitable model, for the first time, to predict PM_2.5 concentration changes, inside pre-schools.

Indoor and outdoor classes PM_2.5 concentrations were measured using two DUSTTRAK direct-reading instruments. Additional class status information was also recorded; concurrently, urban PM_2.5 concentrations and meteorological data were obtained from the fixed monitoring stations and Meteorological Organization. Then, the predicted concentrations of the indoor PM_2.5, from introduced multiple linear regression model via SPSS, compared with the nearest urban air pollution monitoring stations data.

The average outdoor PM_2.5 concentration (43 ± 0.32 µg m⁻³) was higher than the mean indoor (32 ± 0. 21 µg m⁻³), and both were significantly (p < 0.001) surpassing the 24-h EPA standard level. The indoor PM_2.5 concentrations had the highest level in the autumn (48.7 µg m⁻³) and significantly correlated with the outdoor PM_2.5 (r = 0.94, p < 0.001), the number of pupils, ambient temperature, wind speed, wind direction and open area of the doors and windows (p < 0.001). These parameters, as the main determinants, have led to present a 7-variable regression model, with R² = 0.705, which can predict PM_2.5 concentrations in the pre-school classes with more than 80% accuracy. It can be presumed that the penetration of outdoor PM_2.5 was the main source of indoor PM_2.5 concentrations.

This study faced several limitations, such as accessibility to classrooms, and limitations in technicians' numbers, leading to researchers monitoring indoor and outdoor PM concentrations in schools once a week. Additionally, regarding logistical limitations to using monitoring instruments in pre-schools simultaneously, correction factors by running the instruments were applied to obtain comparable measurements.

The author hereby declares that this submission is his own work and to the best of its knowledge it contains no materials previously published or written by another person.

Online feminist activism has opened a different path for ordinary Iranians who are not necessarily versed in post-revolutionary discourses on feminism and political activism, nor are familiar with the names and past achievements of Iranian women’s activist pioneers since the birth of the Islamic Republic in 1979. Social media has helped to tease apart government statecraft that continually touts and reemphasizes Islamic values, at the same time providing a platform for a feminist consciousness that more recently has passionately supported individual rights, especially the right to privacy. This chapter delves into this move toward a more individualized form of dissent, surveying the generational, ideological, and technological divides that have emerged among Iranian women’s activists following popular uprisings that have been happening domestically since 2009.