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The concentration of women entrepreneurs on influential events such as the development of green entrepreneurship, which lead to the coordination and dynamic balance between economic and environmental goals, can create a bright future for businesses with sustainable and environmentally friendly architecture. The main purpose of this study is to provide a framework for the successful entry of women entrepreneurs into green entrepreneurship.

The present qualitative applied descriptive-analytical study was conducted on a population of women entrepreneurs working in green businesses. This population was obtained by the non-probability chain sampling method and an exploratory interview with the saturation of 12 individuals. Thematic analysis was used to analyze the findings.

The results revealed that creating shared value, inclusive social acceptance, multifaceted interactions and green dynamic bedding are effective in the entry of women entrepreneurs into green entrepreneurship in the form of “competitive empowerment” and “multiplied green synergy”. Thus, managers and planners should consider some factors, including shared value, social acceptance, inclusive acceptance, building green culture, knowledge flows, multiple participation, networking dimension, green marketing, competitiveness, creating platforms, green technologies and risk management.

This research tries to present a framework for the entry of women entrepreneurs into green entrepreneurship area.

The proposed model aims to consider the flying hours as a criterion to initiate maintenance operation. Based on this condition, aircraft must be checked before flying hours threshold is met. After receiving maintenance service, the model ignores previous flying hours and the aircraft can keep on flying until the threshold value is reached again. Moreover, the model considers aircraft age and efficiency to assign them to flights.

The aircraft maintenance routing problem (AMRP), as one of the most important problems in the aviation industry, determines the optimal route for each aircraft along with meeting maintenance requirements. This paper presents a bi-objective mixed-integer programming model for AMRP in which several criteria such as aircraft efficiency and ferrying flights are considered.

As the solution approaches, epsilon-constraint method and a non-dominated sorting genetic algorithm (NSGA-II), including a new initializing algorithm, are used. To verify the efficiency of NSGA-II, 31 test problems in different scales are solved using NSGA-II and GAMS. The results show that the optimality gap in NSGA-II is less than 0.06%. Finally, the model was solved based on real data of American Eagle Airlines extracted from Kaggle datasets.

The authors confirm that it is an original paper, has not been published elsewhere and is not currently under consideration of any other journal.

The purpose of this paper is to explore the possible relationship between knowledge management infrastructures (KMI) and organizational intelligence (OI) in two country-wide research centers dependent to Ministry of Science, Research and Technology, namely, Iranian Research Institute for Information Science and Technology (IRIIST) and Institute for Humanities and Cultural Studies (IHCS).

The research is a survey in a descriptive manner. Using two validated questionnaires related to KMI and OI, the research was conducted among 175 faculty members and staffs of the two research centers. Using structural equation modeling (SEM) procedures, collected data were then analyzed by software SPSS and partial least squares.

Factor analysis showed a high factor loading related to the two main variables and all of the items indicated goodness of fit (GoF) related to the questions. The variance-mean ratio between two variables was higher than 0.5 indicating a high convergent validity. R² for OI showed fitness of SEM. The GoF for IRIIST was 0.642 lower than IHCS with 0.645. Also, path analysis indicated a significant relationship between two variables by 95 percent degree of confidence accepting the two research hypothesis.

By comparison, KMI was more correlated with OI in IHCS than IRIIST. KMI in IRIIST predicted OI by 0.826 percent while in the IHCS by 0.848 percent.

The purpose of this study is to investigate the moderating role of knowledge management (KM) strategies in developing the effect of intellectual capital (IC) on innovation for small- and medium-sized enterprises (SMEs). Specifically, the current study explores how different interactions between IC and KM strategies lead to more powerful innovation in SMEs.

This study analyzes survey responses from 170 owners/managers of SMEs in Iran. The study uses partial least square structural equation modeling methods within Smart PLS software.

This study reveals that first IC has an excellent level of engagement with both incremental and radical types of innovation, but its engagement level with radical innovation is higher than that for incremental innovation. Second, the human capital component of IC has a direct positive impact on radical innovation although it has no significant impact on incremental innovation. Third, the personalization strategy of KM positively moderates the impact of human capital on both incremental and radical innovation.

This paper is an empirical attempt in SMEs to combine IC and KM strategies to strengthen innovation. It presents research community for SMEs of a developing country that has been investigated in a limited way compared to large firms of developed nations and provides valuable insights into further research.

Oral health is a major public health problem, both in developed and developing countries. The purpose of this paper is to examine the utilization of dental care and identify the main socioeconomic factors affecting the use of these services in the city of Sanandaj, west of Iran, in 2015.

A cross-sectional survey using multistage sampling was conducted to obtain information on the dental care visits of 520 head of households in Sanandaj. A self-administered questionnaire was used to collect data on the utilization of dental visits. Multivariable logistic regression was used to identify the main socioeconomic factors affecting the utilization of dental care in Sanandaj.

Results showed that 61.3 percent of the respondents visited a dentist at least once in the last year, of which 45 percent visited dentist for restoration, 27.9 percent had extraction and 10.3 percent had a dental checkup. The average number of dentist visits by respondents was 1.9. Regression results indicated a significant association between socioeconomic factors (e.g. income, educational level and employment status) and utilization of dental care.

This study suggested that dental care visit was influenced by socioeconomic status of households. Therefore, strategies aimed at improving dental care utilization for socioeconomically disadvantaged households (e.g. dental health insurance) are required to promote oral health among socioeconomically disadvantaged groups.

The purpose of this paper is to carry out a numerical study on the dynamic and thermal behavior of a fluid with a constant property and flowing turbulently through a two-dimensional horizontal rectangular channel. The upper surface was put in a constant temperature condition, while the lower one was thermally insulated. Two transverse, solid-type obstacles, having different shapes, i.e. flat rectangular and V-shaped, were inserted into the channel and fixed to the top and bottom walls of the channel, in a periodically staggered manner to force vortices to improve the mixing, and consequently the heat transfer. The flat rectangular obstacle was put in the first position and was placed on the hot top wall of the channel. However, the second V-shaped obstacle was placed on the insulated bottom wall, at an attack angle of 45°; its position was varied to find the optimum configuration for optimal heat transfer.

The fluid is considered Newtonian, incompressible with constant properties. The Reynolds averaged Navier–Stokes equations, along with the standard k-epsilon turbulence model and the energy equation, are used to control the channel flow model. The finite volume method is used to integrate all the equations in two-dimensions; the commercial CFD software FLUENT along with the SIMPLE-algorithm is used for pressure-velocity coupling. Various values of the Reynolds number and obstacle spacing were selected to perform the numerical runs, using air as the working medium.

The channel containing the flat fin and the 45° V-shaped baffle with a large Reynolds number gave higher heat transfer and friction loss than the one with a smaller Reynolds number. Also, short separation distances between obstacles provided higher values of the ratios Nu/Nu₀ and f/f₀ and a larger thermal enhancement factor (TEF) than do larger distances.

This is an original work, as it uses a novel method for the improvement of heat transfer in completely new flow geometry.