Ahmad Yaghoubi Farani, Saeid Karimi and Mahsa Motaghed
This purpose of this paper, drawing on the theory of planned behaviour (TPB), is to develop an integrated model of entrepreneurial career intentions incorporating the role of…
Abstract
Purpose
This purpose of this paper, drawing on the theory of planned behaviour (TPB), is to develop an integrated model of entrepreneurial career intentions incorporating the role of motivational factors along with entrepreneurial knowledge. Specifically, this study proposes the existence of a relationship between entrepreneurial knowledge and digital entrepreneurial intentions and asserts that this relation is mediated by the motivational factors.
Design/methodology/approach
Data were collected from a sample of 150 computer sciences students from four public Iranian universities using a questionnaire.
Findings
Results indicated that the two motivational factors (namely, attitudes towards digital entrepreneurship and perceived behavioural control) significantly relate to digital entrepreneurial intentions. In addition, entrepreneurial knowledge indicates indirect effects on intentions via these two motivational factors.
Practical implications
The results of this study have clear implications for both educators and policymakers.
Originality/value
The study helps to understand the role of entrepreneurial knowledge in shaping digital entrepreneurial intentions through developing an integrated intention model based on the TPB. The results also indicate that the TPB fully accounts for the indirect effects of entrepreneurial knowledge.
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Saeid Karimi, Harm J.A. Biemans, Thomas Lans, Mohammad Chizari and Martin Mulder
This paper aims to, drawing on the theory of planned behaviour (TPB), explore the effects of entrepreneurial role models on entrepreneurial intention (EI) and its antecedents and…
Abstract
Purpose
This paper aims to, drawing on the theory of planned behaviour (TPB), explore the effects of entrepreneurial role models on entrepreneurial intention (EI) and its antecedents and examines the question of whether the effects vary by gender.
Design/methodology/approach
Data were collected from a sample of 331 students at seven universities in Iran. Structural equation modelling and bootstrap procedure were used to analyse the data.
Findings
Consistent with the TPB, our results show entrepreneurial role models to indirectly influence EIs via the antecedents of intention. No gender differences in the relationship between perceived behaviour control and EIs were found, but gender did moderate the other relationships within the TPB. Attitude towards entrepreneurship was a weaker predictor and subjective norms a stronger predictor of EIs for female students than for their male counterparts. Furthermore, perceived behaviour control and attitudes towards entrepreneurship were more strongly influenced by role models for females as opposed to male students.
Research limitations/implications
Future studies should go beyond examining the mere fact of knowing entrepreneurial role models to examine the mechanisms underlying the relationship between role models and EIs.
Practical implications
The results of this study have clear implications for both educators and policymakers.
Originality/value
The study contributes to the entrepreneurship literature by incorporating entrepreneurial role models and gender into the TPB and investigating their mediating and moderating effects within the model.
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Roghayeh Chenary, Akram Karimi-Shahanjarini, Saeid Bashirian, Ghodratollah Roshanaei, Ali Akbar Fazaeli and Mohsen Jalilian
The high prevalence of hypertension is a significant concern worldwide. A decrease in salt intake is a well-known strategy to control hypertension and reduce the risk of…
Abstract
Purpose
The high prevalence of hypertension is a significant concern worldwide. A decrease in salt intake is a well-known strategy to control hypertension and reduce the risk of cardiovascular diseases. Little is known about the factors influencing salt intake behaviors in settings such as Iran where consumption of salt is higher than the recommended amount. The purpose of this study was to find out what factors affect three salt intake behaviors among women: adding salt when cooking, adding salt to prepared food at the table and purchasing salty foods.
Design/methodology/approach
A community-wide cross-sectional survey of 516 women was conducted in Ilam, Iran. Participants were recruited using the cluster random sampling method. The survey included behaviors and variables of an expanded theory of planned behavior. The hypothesized relationships were investigated using structural equation modeling.
Findings
Perceived behavioral control (PBC) (p < 0.001) and habit (p = 0.01) appeared to be significant factors of adding salt when cooking. Determinants of adding salt to food at the table were intention (p < 0.001), PBC (p < 0.001), habit (p < 0.001). Also, PBC (p < 0.001), intention (p < 0.001), habit (p < 0.001) were identified as predictors of the purchase of salty foods. The results did not support the moderating role of Hedonic feeling to salt on the relation between intention and behaviors.
Originality/value
This study would be applicable to develop salt reduction interventions. Because altering the hedonic response to food is difficult, the lack of its moderating role could be a promising finding for developing salt reduction interventions.
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Huey Tyng Cheong, S. Sivasankaran and M. Bhuvaneswari
The purpose of this paper is to study natural convective flow and heat transfer in a sinusoidally heated wavy porous cavity in the presence of internal heat generation or…
Abstract
Purpose
The purpose of this paper is to study natural convective flow and heat transfer in a sinusoidally heated wavy porous cavity in the presence of internal heat generation or absorption.
Design/methodology/approach
Sinusoidal heating is applied on the vertical left wall of the cavity, whereas the wavy right wall is cooled at a constant temperature. The top and bottom walls are taken to be adiabatic. The Darcy model is adopted for fluid flow through the porous medium in the cavity. The governing equations and boundary conditions are solved using the finite difference method over a range of amplitudes and number of undulations of the wavy wall, Darcy–Rayleigh numbers and internal heat generation/absorption parameters.
Findings
The results are presented in the form of streamlines, isotherms and Nusselt numbers for different values of right wall waviness, Darcy–Rayleigh number and internal heat generation parameter. The flow field and temperature distribution in the cavity are affected by the waviness of the right wall. The wavy nature of the cavity also enhances the heat transfer into the system. The heat transfer rate in the cavity decreases with an increase in the internal heat generation/absorption parameter.
Research limitations/implications
The present investigation is conducted for steady, two-dimensional natural convective flow in a wavy cavity filled with Darcy porous medium. The waviness of the right wall is described by the amplitude and number of undulations with a well-defined mathematical function. An extension of the present study with the effects of cavity inclination and aspect ratio will be the interest for future work.
Practical implications
The study might be useful for the design of solar collectors, room ventilation systems and electronic cooling systems.
Originality/value
This work examines the effects of sinusoidal heating on convective heat transfer in a wavy porous cavity in the presence of internal heat generation or absorption. The study might be useful for the design of solar collectors, room ventilation systems and electronic cooling systems.
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Farzad Pourfattah, Saeid Yousefi, Omid Ali Akbari, Mahsa Adhampour, Davood Toghraie and Maboud Hekmatifar
The purpose of this paper is to numerically simulate the nanofluid boiling inside a tube in turbulent flow regime and to investigate the effect of adding volume faction of CuO…
Abstract
Purpose
The purpose of this paper is to numerically simulate the nanofluid boiling inside a tube in turbulent flow regime and to investigate the effect of adding volume faction of CuO nanoparticles on the boiling process.
Design/methodology/approach
To make sure the accuracy of the obtained numerical results, the results of this paper have been compared with the experimental results and an acceptable coincidence has been achieved. In the current paper, by Euler–Euler method, the phase change of boiling phenomenon has been modeled. The presented results are the local Nusselt number distribution, temperature distribution of wall, the distribution of volume fraction of vapor phase and fluid temperature at the center of the tube.
Findings
The obtained results indicate that using nanofluid is very effective in the postponement of the boiling process. Hence, by change the amount of volume fraction of nanoparticles in base fluid, the location of phase change and bubble creation are changed. Also, at the Reynolds numbers of 50,000, 100,000 and 150,000 with the volume fraction of 2 per cent, the beginning locations of phase change process are, respectively, 2D, 10D and 13D, and for the volume fraction of 4 per cent, the beginning locations of phase change are 4D, 18D and 19D, respectively. These results indicate that, as the volume fraction of nanoparticles increases, the location of the start of the phase change process is postponed that this issue causes the increment of heat transfer from wall to fluid and the reduction of wall temperature. In general, it can be stated that, in boiling flows, using nanofluid because of the delay in boiling phenomenon has a good effect on heat transfer enhancement of heated walls. Also, the obtained results show that, by increasing Reynolds number, the created vapor phase reduces that leads to increase of the Nusselt number.
Originality/value
The paper investigates the effect of using nanofluid in phase change process of cooling fluid.
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Hadi Mahamivanan, Navid Ghassemi, Mohammad Tayarani Darbandy, Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi and Saeid Nahavandi
This paper aims to propose a new deep learning technique to detect the type of material to improve automated construction quality monitoring.
Abstract
Purpose
This paper aims to propose a new deep learning technique to detect the type of material to improve automated construction quality monitoring.
Design/methodology/approach
A new data augmentation approach that has improved the model robustness against different illumination conditions and overfitting is proposed. This study uses data augmentation at test time and adds outlier samples to training set to prevent over-fitted network training. For data augmentation at test time, five segments are extracted from each sample image and fed to the network. For these images, the network outputting average values is used as the final prediction. Then, the proposed approach is evaluated on multiple deep networks used as material classifiers. The fully connected layers are removed from the end of the networks, and only convolutional layers are retained.
Findings
The proposed method is evaluated on recognizing 11 types of building materials which include 1,231 images taken from several construction sites. Each image resolution is 4,000 × 3,000. The images are captured with different illumination and camera positions. Different illumination conditions lead to trained networks that are more robust against various environmental conditions. Using VGG16 model, an accuracy of 97.35% is achieved outperforming existing approaches.
Practical implications
It is believed that the proposed method presents a new and robust tool for detecting and classifying different material types. The automated detection of material will aid to monitor the quality and see whether the right type of material has been used in the project based on contract specifications. In addition, the proposed model can be used as a guideline for performing quality control (QC) in construction projects based on project quality plan. It can also be used as an input for automated progress monitoring because the material type detection will provide a critical input for object detection.
Originality/value
Several studies have been conducted to perform quality management, but there are some issues that need to be addressed. In most previous studies, a very limited number of material types were examined. In addition, although some studies have reported high accuracy to detect material types (Bunrit et al., 2020), their accuracy is dramatically reduced when they are used to detect materials with similar texture and color. In this research, the authors propose a new method to solve the mentioned shortcomings.
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Fatemeh Ashouri Mirsadeghi, Enayatollah Moradi Rufchahi and Saeid Zarrabi
The purpose of this study, 3-aminopyridine, 8-aminoquinoline and some new synthesized 2-aminobenzothiazoles were diazotized with nitrosyl sulfuric acid and subsequently coupled…
Abstract
Purpose
The purpose of this study, 3-aminopyridine, 8-aminoquinoline and some new synthesized 2-aminobenzothiazoles were diazotized with nitrosyl sulfuric acid and subsequently coupled with 5-chloro-8-hydroxy quinoline to synthesize the corresponding heteroarylazo dyes 6–13.
Design/methodology/approach
The structures of dyes were characterized by mass, Fourier transform infra red, 1H proton nuclear magnetic resonance and ultra violet-visible spectroscopic techniques. Absorption spectra of the dyes were measured in acetic acid, ethanol, chloroform, acetonitrile, dimethyl formamide and dimethyl sulfoxide and correlated with the nature of the solvents and substituents. The effects of varying pH on the absorption wavelengths of the azo dyes were also studied. In addition, the acidity constants (pKa) of the dyes were determined using the spectrophotometric method in an ethanol-water mixture (80:20, v/v) at 20–23°C. Besides, density functional theory (DFT) calculations were carried out to compare the energies of proposed azo and hydrazone tautomers of the dyes.
Findings
The results showed that the withdrawing chloro groups on the diazo moiety have significant influence (red shift) on the electron absorption spectra of these dyes. In addition, introducing electron withdrawing chloro groups into the benzothiazoles moiety increased the acidic character of dyes.
Originality/value
The synthesized 7-hetroarylazo-5-chloro-8-hydroxy quinoline dyes are new members in the 8-hydroxyquinoline azo dyes family, where very few details regarding the synthesis of such dyes are reported before in the literature. They are unique in terms of synthesis, spectral properties and DFT calculations.
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Nidhi Ahuja, Jyoti Dhingra Darbari and P.C. Jha
Due to increasing socio-ecological concerns, manufacturers are paying ample attention to the strategic decision-making for enhancing customer satisfaction considering Industry 4.0…
Abstract
Due to increasing socio-ecological concerns, manufacturers are paying ample attention to the strategic decision-making for enhancing customer satisfaction considering Industry 4.0 requirements. Customers' preferences are being considered vital into the decisions related to sustainable supplier selection for building competitive gain. Thus, the objective of this study is to develop a real-case-based empirical approach for evaluating performance of suppliers based on customers' feedback, an area not explored much in literature. The novelty of current study lies in the development of an integrated supplier evaluation and selection model involving three phases: (1) identifying sustainable criteria according to Industry 4.0 requirement through customers' feedback, (2) calculating relative scores of criteria using Z-numbers and (3) determining evaluation weights of suppliers using fuzzy-TOPSIS. The contribution of the study lies in effective validation of the model by considering the case of a manufacturing firm, which aids the firm in evaluating performance of suppliers based on customers' socio-ecological expectations while considering reliable information provided by decision-makers (DMs).
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Sara Nourmusavi Nasab, Amir Reza Karimi Azeri and Seyedjalal Mirbazel
During hospitalization, children are faced with physical disorders and many psychological challenges. One important factor affecting children is the environmental design of the…
Abstract
Purpose
During hospitalization, children are faced with physical disorders and many psychological challenges. One important factor affecting children is the environmental design of the hospital. The inappropriate design of hospitals may contribute to an increase in fear, anxiety and behavioral disorders. The purpose of this study is to use children’s perspectives to evaluate the importance and impact of effective environmental factors to generate children’s hospital design guidelines.
Design/methodology/approach
In this study, children’s desired atmosphere during treatment was examined via 16 drawings and 24 interviews from children at a children’s hospital in Iran.
Findings
The encoding of information extracted environmental components such as window view, color, hobby, playing, decorations, family presence, structure of hospital, presence of nurse, furniture, water features, light and green space. The results indicate that children prefer a hospital environment that provides entertainment facilities while also offering design features such as the presence of light, colorful decorations, the existence of green spaces and conditions suitable for their families to be present.
Research limitations/implications
Depending on the location and their living conditions, the children’s prioritization can be different in any society. In addition, the data of this research was descriptive; thus, the conclusions must be considered tentative.
Originality/value
A number of studies focus on the needs of populations in developed countries. This topic has not been investigated in a major way via professionals in non-western countries such as Iran. Thus, the context of this study and present findings can be deemed unique.
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Feda Abdalla Zahor, Reema Jain, Ahmada Omar Ali and Verdiana Grace Masanja
The purpose of this paper is to review previous research studies on mathematical models for entropy generation in the magnetohydrodynamics (MHD) flow of nanofluids. In addition…
Abstract
Purpose
The purpose of this paper is to review previous research studies on mathematical models for entropy generation in the magnetohydrodynamics (MHD) flow of nanofluids. In addition, the influence of various parameters on the velocity profiles, temperature profiles and entropy generation was studied. Furthermore, the numerical methods used to solve the model equations were summarized. The underlying purpose was to understand the research gap and develop a research agenda.
Design/methodology/approach
This paper reviews 141 journal articles published between 2010 and 2022 on topics related to mathematical models used to assess the impacts of various parameters on the entropy generation, heat transfer and velocity of the MHD flow of nanofluids.
Findings
This review clarifies the application of entropy generation mathematical models, identifies areas for future research and provides necessary information for future research in the development of efficient thermodynamic systems. It is hoped that this review paper can provide a basis for further research on the irreversibility of nanofluids flowing through different channels in the development of efficient thermodynamic systems.
Originality/value
Entropy generation analysis and minimization constitute effective approaches for improving the performance of thermodynamic systems. A comprehensive review of the effects of various parameters on entropy generation was performed in this study.