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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.

This study aims to investigate the relationship between information technology and internal controls of state agencies in Iran.

The research population includes all auditors and managers working in public sector. Data collection instrument is a questionnaire designed by the researcher and administrated during March 5, 2016. The collected data are analyzed through descriptive and inferential statistics (binomial test).

The findings of the research show that there is a significant relationship between information technology and internal controls (administrative, financial and accounting controls, risk assessment, information and communication, control activities and monitoring). Moreover, the alteration of data collection methods (from traditional to modern) and the written instructions (in information technology) have a positive effect on the internal control and its subscales.

With regard to the emphasis on the development of computer application and the use of new processing facilities and the exchange of information and its specific controlling consequences, this is an innovative research.

High torque ripple is the significant challenge of the synchronous reluctance machine in household electric appliances, electric vehicles and so on. This paper aims to present an optimized design of a synchronous reluctance rotor structure to reduce the torque ripple with improving the average torque by the particle swarm optimization (PSO) algorithm.

The optimization of rotor geometries has been investigated. Most of the rotor parameters such as the width of iron parts, the width of barriers along d and q axes and the endpoint angle of barriers are optimized by a new method using the PSO algorithm. After optimization, the resulted optimum design along with the initial design is simulated by two-dimensional finite element method and results are compared. At the end, a prototype is constructed and tested. Results of the experiment are compared with the simulation results where acceptable adoption is yielded.

Minimizing the torque ripple without losing the average torque is an important achievement of the synchronous reluctance motor (SynRM) optimization; furthermore, the finite element analysis and experimental results indicate that the torque ripple of the SynRM with the optimized rotor is reduced significantly. Also, increasing the number of optimization parameters can effectively obtain an accurate shape of the SynRM barrier.

Because of the high number of parameters in synchronous reluctance rotors, the majority of proposed optimizations did not use all geometric parameters of the rotor and tried to simplify the optimization by ignoring several optimization parameters or reducing the number of flux barriers. In this optimization, most of the rotor parameters have been used to achieve the precise barrier shape with the aim of reducing the torque ripple in SynRM.

The purpose of this paper is to characterize and identify the existing studies on the relationship between technological media and development

The authors conducted a systematic mapping study to identify and analyze the related literature. The authors identified 196 primary studies, dated from 2000 to 2017 and categorized them with respect to research focus, types of research and research method.

A total of 97 studies were identified and mapped, synthesizing the available evidence on the relationship between technological media and development. “Social development” with 54 articles and “communication” with 34 articles were the dominant research focus. Regarding the research type, “Solution proposal” is the most frequently employed research type. “Case study,” “discussion paper” and “interview,” respectively were the most used research methods. However, “SNA,” “focus group” and “time series” were used less often. “Solution proposal” was the most common research type between 2015 and 2017, and after that “philosophical paper” was the dominant research paper type. Further, the number of publications has increased between 2006 and 2017.

This mapping study is the first systematic exploration of the state-of-art on technological media-development nexus. The existing body of knowledge is limited to a few high quality studies.

The purpose of this paper is to provide a theoretical picture of the concept of knowledge creation and then investigate the effects on it of such variables as social capital and organizational culture.

The population of this study includes faculty members of the University of Isfahan (Iran) in 2008 (476 cases). From among these cases, 142 cases were selected based on the Cochran formula. Survey was used as the research method and a questionnaire was used for data collection. Pearson correlation “r” and multi‐variable regression were employed, and in the next stage, through drawing the model of structural equations, the direct effects, indirect effects and total effects of independent variables on the dependent variable were investigated, based on path analysis model. SPSS and LISREL were employed for statistical analysis.

The results revealed that social capital and organizational culture had meaningful effect on knowledge creation. The analysis showed that the independent variables mentioned above could determine 36 percent of the effects of the dependent variable.

The findings are based, in the main, on an extensive, single university study; therefore it is necessary to be cautious about generalizing the result of this study to other universities in Iran.

The paper can contribute to organizations through providing a holistic picture of the role of knowledge creation in organizations (especially universities).

This paper aims to identify and introduce areas in Kerman with a very high potential for produce energy from renewable energy. In this paper, with studying renewable energy resources of the world and Iran, and with the introduction of renewable energy resources in Kerman Province and its counties as a proper supplier of energy in Iran and regions. At the end of this discussion, it is seen that the positive impact of clean energies on the economy, the environment and the health of the region and the country and the potential of the Kerman Province in this rare energy place are considered well.

To study the energy consumption in Iran and based on universal reports, this area is the largest renewable energy production region in Iran.

Currently, electricity used in Kerman is nearly 2,000 MW, while the capacity of production is 1,500 MW which is almost the share of renewable energy in electricity production rate is zero. With regard to industrial development plans in Kerman Province, 5,000 MW of electricity will be needed in the near future, so the province will face an energy crisis. Iran is also a developing country and economy; agriculture and the production of this country is extremely dependent on energy and electricity, and it seems that using renewable energy sources is a way to prevent an energy crisis in the country.

This paper introduces the Kerman Province and examines the potential of this province as a massive source of energy in Iran and the world. Specific qualifications of this region include the climate variability, existing water dams, suitable areas for utilization of biomass and the high potential that this area has for the development of geothermal energy. These qualifications all contribute to make this region a hub for great production of energy from renewable energy sources in Iran.

The purpose of this paper is to improve the lattice Boltzmann method’s ability to simulate a microflow under constant heat flux.

Develop the thermal lattice Boltzmann method based on double population of hydrodynamic and thermal distribution functions.

The buoyancy forces, caused by gravity, can change the hydrodynamic properties of the flow. As a result, the gravity term was included in the Boltzmann equation as an external force, and the equations were rewritten under new conditions.

To the best of the authors’ knowledge, the current study is the first attempt to investigate mixed-convection heat transfer in an inclined microchannel in a slip flow regime.

Many devices needed electrical power to work, thus, major energy carriers such as oil and gas were used to generate electrical power via converter mechanisms and special technologies. The microturbine is a developed technology that is remarkable for its relatively high performance and ability to use several types of fuels. Microturbines are economically feasible because of the production of combined heat and power and small-scale applicability. This study aims to investigate microturbine technology development to support modern energy access in a developing country (i.e. Iran).

This paper presents a technology foresight methodology to create plausible futures of microturbine development in Iran when the country faces different driving forces and uncertainties. On other hand, the paper deals with a theoretical question: how to select appropriate foresight methodology? A procedure is proposed, which equipped the research team to select appropriate method combinations based on Popper’s diamond. Finally, the selected methodology includes defining focal issues environmental scanning and patent analysis aimed at developing five plausible scenarios for microturbine development future in Iran and creating shared visions among policymakers.

This paper proposed a series of scenarios on the path to developing microturbine technology. The scenario development logic in a participatory way contains a common four-quarter technique that attempts to depict scenarios based on two critical uncertainties inclusive energy price and technology obsolescence, which will shape the future. Also, a scenario is presented to describe a wild card that can disturb the desired futures. Such materials help decision-makers to policies under plausible conditions that guarantee a robust policy basket.

The originality of this paper can be studied based on two aspects, first, the methodology that provides a systematic method selections procedure in an emerging complex technology development program. Second, from the practical aspect, this paper is one of the very first attempts to manage the microturbine technology development program. Then, results are used to feed the policy-making process in Iran.

Although the pathogenesis of stroke is not yet completely elucidated, factors such as oxidative stress and inflammation have been shown to play an important role in this regard. The purpose of this paper is to investigate the effects of whey protein plus lipoic acid on the inflammatory and oxidative stress markers and the prognosis in acute ischemic stroke (AIS) patients.

A double-blind, randomized controlled clinical trial was conducted among 42 patients with the first episode of AIS at the Imam Reza Hospital of the Tabriz University of Medical Sciences. The blind research staff randomly assigned patients to two groups of receiving usual hospital gavage (control group) and 1,200 mg of lipoic acid plus 20 g of whey protein in addition to usual hospital gavage (intervention group) for midday meal. Levels of albumin, Interleukin-6 (IL-6), tumor necrosis factor (TNF-α), high-sensitivity C-reactive protein (hs-CRP) and clinical outcomes including severity of neurologic damage according to National Institutes of Health Stroke Scale (NIHSS) and functional state based on modified Rankin Scale (mRS) were evaluated initially and three weeks later.

There were no significant differences in demographic and baseline characteristics between the two groups (p > 0.05). After three weeks, hs-CRP (p <* 0.01), IL-6 (p = 0.02) and TNF-α (p = 0.01) levels significantly reduced in the intervention group, but no significant changes were observed in cases of albumin, malondialdehyde (MDA) and total antioxidant capacity (TAC) in this group (p > 0.05). Instead, only IL-6 decreased significantly in the control group (p <* 0.01). In addition, comparing changes of assessed variables between two groups showed no significant improvement in the whey protein plus lipoic acid supplementation group vs the control group (p > 0.05). While there was significant betterment in clinical prognosis parameters within groups, no significant changes were found between groups.

The investigation implied that whey protein plus lipoic acid supplementation has no significant effects on inflammatory and oxidative stress markers compared to the control group of AIS patients. More studies in this field are needed to approve the result.