Technopreneurship represent a form of entrepreneurship that emphasizes entrepreneurial skills and technology. Studies on technopreneurship have been conducted, but research investigating antecedents of technopreneursh...
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ISBN:
(数字)9798331539603
ISBN:
(纸本)9798331539610
Technopreneurship represent a form of entrepreneurship that emphasizes entrepreneurial skills and technology. Studies on technopreneurship have been conducted, but research investigating antecedents of technopreneurship based on the entrepreneurial event model (EEM), is still limited. Most research on technopreneurship is dominated by the use of the theory of planned behavior (TPB). Therefore, this study aims to investigate the driving factors in EEM, namely perceived desirability, propensity to act, and perceived feasibility to technopreneurship intention. In addition, another purpose of this study is to explore technopreneurship intention towards technopreneurship commitment. To achieve this goal, the study used quantitative research design, primary data sources, and data collection methods using questionnaires. The sample in this study amounted to 240, with the sampling method using purposive sampling. Reliability, validity, and hypothesis testing using Smart-PLS software version 3. The results showed that perceived desirability affects technoprenurial intention, propensity to act affects technoprenurial intention, perceived feasibility affects technoprenurial intention, and technoprenurial intention affects technopreneurial commitment.
The purpose of this paper is to gift a visualization of three-dimensional (3D) trees using L-System that has been researched before. In this research, he succeeded in making a two-dimensional (2D) tree visualization a...
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The COVID-19 pandemic has an impact on decreasing demand for beef. This condition affects the accumulation of beef stock, which impacts the return of beef products from retailers to distributors. This study aims to de...
The COVID-19 pandemic has an impact on decreasing demand for beef. This condition affects the accumulation of beef stock, which impacts the return of beef products from retailers to distributors. This study aims to develop a model that can reduce risk and optimize costs resulting from returned products. Reverse logistics is a widely used method of handling returned products adding value to the product. In this study, reverse logistic activities are carried out by creating a mathematical model to maximize the product control function by creating a product inspection schedule and a product repair schedule. The formulations used PILP, and the formulations were tested using the LINGO 17.0 software. This study produces a robust model of the change in the amount and quantity of labor returned products and product quantity models with category R. From this study; it is also found the reasons why customers return the delivered meat, namely specifications, product quality, packaging, delivery process, and labor.
The aim of this study is to obtain an essential oil from Allium cepa L. var. aggregatum by the extraction process using the microwave hydrodiffusion-gravity method. The operating parameters are drying pre-treatment, m...
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The objective of the research was to analyze the clustering method by optimizing Particle Swarm Optimization (PSO) in the case of measles immunization for children under the age of 5. The research data source used is ...
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Much damage to buildings occurs in areas that have soft soil layers due to the failure of the foundations. Besides, foundations in soft soils generally require very expensive construction. For this reason, proper rese...
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Artificial Intelligence Research in Agriculture has grown so common, and the potential they provide is so revolutionary that it is considered essential for competitive growth. Until we conducted this research, only 10...
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One of the critical issues of using chlorophyll (Mg-Chl) as a dye photosensitizer in DSSC is related to a rapid decay of this material. Changing the alkali metal using transition metal ions could theoretically increas...
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This paper considers parameters and sampling time identification of a three interacting tanks system. A novel tailor-made model is introduced to deal with the real plant in the laboratory. Experimental data are then e...
This paper considers parameters and sampling time identification of a three interacting tanks system. A novel tailor-made model is introduced to deal with the real plant in the laboratory. Experimental data are then exploited to perform parameter identification via particle swarm optimisation (PSO) method. In addition to the system parameters, we propose to simultaneously optimize the sampling selection in the optimisation process. Even though several well known sampling time selection are established, a more precise selection is required. It is shown in this paper that a meta-heuristic optimisation method (PSO) can be an efficient procedure for this problem. Moreover, three different error measures for performing optimisation are also discussed.
Molten salt has attracted the attention of researchers, especially as a coolant because of its characteristics. This study aimed to analyse the transient and steady-state of the natural circulation system in the molte...
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