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The purpose of this study is to evaluate the effect of opportunity relatedness and uncertainty on the decision of a corporate entrepreneur to pursue a venturing opportunity.

The study uses a conjoint experimental design to reveal the structure of respondents' decision policies. Data were gathered from 47 useable replies from corporate entrepreneurs and were analyzed with hierarchical linear modeling (HLM).

Results show that product relatedness, market relatedness, perceived certainty about expected outcomes and slack resources all have a positive effect on the willingness of a corporate entrepreneur to pursue a new venture idea. Moreover, slack was found to diminish the positive effect of product relatedness on the likelihood to pursue a venturing opportunity.

By providing a better understanding of decision-making schemas of corporate entrepreneurs, the findings of this study help improve the practice of entrepreneurship at the organizational level. In order to make more accurate opportunity assessments, corporate entrepreneurs need to be aware of their cognitive strategies and need to factor in the salient criteria affecting such assessments.

This paper adds to the limited understanding of corporate-level decision-making with regard to pursuing venturing opportunities. More specifically, the paper adds new insights regarding how relatedness and uncertainty affect new venture opportunity assessments in the presence (or lack thereof) of slack resources.

The purpose of this study is to empirically examine how individuals’ hybrid entrepreneurial venturing activities (HEVA) influence key characteristics associated with one’s wage work, namely creativity and job satisfaction.

Through a cross-sectional self-administered survey design, data were gathered from 465 US-based useable responses via Amazon Mechanical Turk and analyzed using structural equation modeling (SEM).

Findings show individuals reporting higher levels of HEVA – such as creating, founding, starting or running – tend to also exhibit higher levels of creativity and job satisfaction in their workplaces. Findings further reveal that income negatively moderates the relationship between creativity and wage work job satisfaction.

By providing a better understanding of how engaging in HEVA can impact creativity and job satisfaction, this study has important implications for (1) managers seeking to influence key employee outcomes and (2) employees considering such entrepreneurial activities.

This paper adds to the growing scholarly and practitioner interest in hybrid entrepreneurship and its outcomes. Specifically, the paper adds new insights regarding how engaging in HEVA can influence individual skills (i.e. creativity) or organizational goals (i.e. employee job satisfaction). In doing so, the paper also uses insights from the intrinsic/extrinsic motivation literature to suggest how extrinsic motivators (such as income) can interact with intrinsically motivated behaviors (such as creativity) in influencing employee outcomes in wage work. Finally, the paper contributes to the growing interest in applying the empowerment perspective within entrepreneurship research by exploring where and how empowerment may occur.

The purpose of this article is to evaluate the role of mineralisers on the formation of perovskite structure, optimise the amounts of chromium content, soaking time and finally the ratio of fuel (citric acid) to oxidiser (metal nitrate) and investigation of the physical properties of resulted pigments.

A red pigment based on perovskite structure (YAl_1-yCr_yO₃, y = (0.01-0.1) was synthesised by solution combustion method with various mineralisers, like NaF, MgF₂ and Li₂CO₃. Thermal decomposition of the resulting nitrate-citrate gels and the phase evolution of calcined powders were investigated and the microstructure and colorimetry of the emerging products were characterised.

The most effective mineraliser system for the formation of YAlO₃ perovskite was NaF:MgF₂:Li₂CO₃ (3:2:1 by weight). Furthermore, desirable pigments were obtained by firing the samples at 1,400°C for 4 hours. The highest redness parameter (a*) and reflectance value were obtained when y was 0.03 and 0.01, respectively. Increasing the fuel: oxidiser ratio led to an increase in the a* parameter. Use of the optimum prepared red pigment in the low and high firing temperature glazes gave a high chemical and thermal stability.

Only citric acid was used as fuel. Other fuels and different ratios of fuel to oxidiser could also be studied.

The method developed provided a new approach for preparation to nontoxic, high-temperature, ceramic red pigment compared to the solid-state method.

The methods for synthesis of pigment based on perovskite structure with different chromium contents and for evaluation of thermal stability of pigment in glaze were novel.

The constant population growth and inappropriate consumption patterns have led to abnormal use of the earth's capacities, destruction of natural resources, enormous spread of diseases, and increased waste materials. Thus, these issues should be highlighted to avoid serious problems for the earth. Accordingly, this study examines the effect of environmental knowledge (EK), environmental responsibility (ER), and environmental concern (EC) on sustainable consumption behavior (SCB), with the mediating role of customer attitude (CA).

The present applied study is descriptive-correlational. The statistical population includes customers of Hyperstar stores located in Tehran. Overall, a sample size of 384 people was selected based on Cochran's formula. The data were collected using standard questionnaires and analyzed using structural equation modeling and Smart PLS version 3 software.

The fit of the proposed model was confirmed at measurement, structural, and general levels. Thus, it indicates that the structural model has an acceptable fit. Furthermore, the findings emphasize that ER and EC have a positive effect on CA, and ER and EC have a positive impact on SCB. ER and EC have a positive effect on SCB through the mediation of CA, while EK does not have any significant effect on SCB but EK has an effect on SCB through the mediation of CA.

Given the growth of environmental destruction, it is necessary to consider the change of CA toward buying sustainable products. Therefore, this study pays attention to the mediating role of attitude and examines the effects of EK, EC, and ER that cause SCB among customers of Hyperstars.

In accounting and finance, researchers have used many ways to detect manager’s fraud risk. Until now, many researchers have used some data mining methods in these two fields to detect this risk. The purpose of this paper is to compare the precision of two data mining methods in detecting such a risk.

For this purpose, this paper analyzed the texts of board’s reports and used two methods including the convex optimization (CVX) method and least absolute shrinkage and selection operator (LASSO) regression method. In this way, the words of these reports, which have the greatest power in explaining the manager’s high fraud risk index, were identified. Using these words, this paper presented a model that could detect manager’s high fraud risk index in companies.

The results indicated that both methods can detect the manager’s high fraud risk index with a precision between 82.55 and 91.25 percent. The LASSO method was significantly more precise than the CVX method.

The lack of access to an official and reliable list of firms suspected to fraud and the lack of access to the Microsoft Word (MS Word) file of board’s reports were two of the most important limitations of this study.

Regulatory bodies and independent auditors can consider the proposed methods in this study for assessing the fraud risk for a firm or other legal parties.

This paper avoided using merely financial statements data to detect the manager’s fraud risk index and focused on texts of board’s reports for the detection process. The capabilities of data mining and text mining methods for detecting the manager’s fraud risk index using board’s reports were tested in this paper. By comparing CVX and LASSO results, this paper indicated that methods with a binary-dependent variable have more power and are more precise than methods with continuous-dependent variables for detecting fraud.

This study deals with the results of an investigation to recognize and prioritize key and critical success factors to achieve predetermined goals in strategic plans of SAIPA Press Co., producer of Automobile parts.

In this study, Sirus and Moghaddam model, 2007, is used to identify critical success factors. also, a descriptive statistical method is used to analyze population data, and Friedman method to answer the questions

Recognition the 24 key success factors, priority of them, being as the critical success factors or core competencies are the results of this research.

Key success factors determine those performance fields that manager should notice permanently. These factors have most importance in executing this strategy

Key factors concepts for success is not a new revolution in occupation. These concepts were suggested by Ronald Daniel in 1960s. But nowadays, these concepts and approaches become more powerful. The most successful organizations in new millennium are those that from one hand have brilliant strategic views and from the other hand have guidelines and tactics to achieve success Key success goals and factors are both necessary to conduct organization to its mission. Key success factors make goals powerful directly and make mission powerful indirectly.

This paper aims to perform the lattice Boltzmann simulation of natural convection heat transfer in cavities included with active hot and cold walls at the side walls and internal hot and cold obstacles.

The cavity is filled with double wall carbon nanotubes (DWCNTs)-water nanofluid. Different approaches such as local and total entropy generation, local and average Nusselt number and heatline visualization are used to analyze the natural convection heat transfer. The cavity is filled with DWCNTs-water nanofluid and the thermal conductivity and dynamic viscosity are measured experimentally at different solid volume fractions of 0.01 per cent, 0.02 per cent, 0.05 per cent, 0.1 per cent, 0.2 per cent and 0.5 per cent and at a temperature range of 300 to 340 (K).

Two sets of correlations for these parameters based on temperature and solid volume fraction are developed and used in the numerical simulations. The influences of different governing parameters such as Rayleigh number, solid volume fraction and different arrangements of active walls on the fluid flow, heat transfer and entropy generation are presented, comprehensively. It is found that the different arrangements of active walls have pronounced influence on the flow structure and heat transfer performance. Furthermore, the Nusselt number has direct relationship with Rayleigh number and solid volume fraction. On the other hand, the total entropy generation has direct and reverse relationship with Rayleigh number and solid volume fraction, respectively.

The originality of this work is to analyze the two-dimensional natural convection using lattice Boltzmann method and different approaches such as entropy generation and heatline visualization.

This study aims to investigate the three-dimensional natural convection and entropy generation in a cuboid enclosure filled with CuO-water nanofluid.

The lattice Boltzmann method is used to solve the problem numerically. Two different multiple relaxation time (MRT) models are used to solve the problem. The D3Q7–MRT model is used to solve the temperature field, and the D3Q19 is used to solve the fluid flow of natural convection within the enclosure.

The influences of different Rayleigh numbers (10³ < Ra < 10⁶) and solid volume fractions (0 < f < 0.04) on the fluid flow, heat transfer, total entropy generation, local heat transfer irreversibility and local fluid friction irreversibility are presented comprehensively. To predict thermo–physical properties, dynamic viscosity and thermal conductivity, of CuO–water nanofluid, the Koo–Kleinstreuer–Li (KKL) model is applied to consider the effect of Brownian motion on nanofluid properties.

The originality of this work is to analyze the three-dimensional natural convection and entropy generation using a new numerical approach of dual-MRT-based lattice Boltzmann method.