The research is proposing to analyze the relationship between education for green entrepreneurship among students and their interests in implementing business ideas in the field of green entrepreneurship. The research has had the projection of an explanation regarding specific factors of students when approaching a subject like green entrepreneurship. It has started from the paradigm in which the rise of interest for green entrepreneurship is influenced by the knowledge regarding the opportunities of creating green business and by the level of developing entrepreneurial competencies. In this framework, a set of research hypotheses has been created as follows: students’ preoccupation for ecological entrepreneurship is influenced by their age (H1); students’ preoccupation for green entrepreneurship is influenced by identifying and recognizing ideas for green business (H2); students’ satisfaction regarding the quality of entrepreneurial education directly influences the preoccupation regarding the creation of a green business (H3). The research is a quantitative type and has been created on a sample representative (N = 123 students, valid N = 120) from the Valahia University of Targoviste, Romania of which the students are part. The research variables were constructed with the module style extracted from scientifically validated research tools. The measurements of variables have been conducted with the help of a Likert-type scale and interpretation with ANOVA. The results of the research were the following—according to the Likelihood Ratio Chi-Square test, there were compared and analyzed variables such as green knowledge and education for green entrepreneurship, to be able to quantify the students’ preoccupation values with green entrepreneurship. The p-value is ˃1, which means that the researched subjects manifest increased interest in green entrepreneurship. This fact demonstrates that the average of the values which were attributed according to the Likert-type scale has offered values between 4 and 5 (5 being the maximum level), a fact that confirms the students’ increased preoccupation with green entrepreneurship. The assigned values obtained are: 18–22 age (m = 4.1532), 22–25 age (m = 4.4375), 26–28 age (m = 4.4375), 29–39 age (m = 4.2396), and the over 39 age (m = 4.2750). We also concluded that the concern for green entrepreneurship among students correlates positively with entrepreneurship education and green knowledge.
Modeling consumer behavior can be explained in the context of specific paradigms: sociological, psychological, cultural, neurocognitive, anthropological, and economic. With the discoveries in the field of neuroscience, the perspective of over-explaining consumer behavior is heading more toward cognitive neuroscience. The research in neurophysiology has succeeded in explaining the interpsychic processes and in the creation of multiple theories which are trying to determine the cause of human organism reaction to different external stimuli. The current scientifical challenges can be found especially around neuropsychology which is attempting to explain how the human brain works and which are the sections that influence the behavior. The research from neurobiology mentions the fact that at the core of buying purchases is a neurophysiological layer.
In the field of neuroscience, there is a multitude of research instruments of the human brain which make neuronal mechanisms identification possible. This research is setting its objective to identify which are the main neuronal research tools and to see which is the level of their applicability in fields like neuroscience and neuromarketing. Starting from the concept that a neuronal research instrument can offer an advantage in a marketing campaign, a set of specific objectives has been created: identifying the main research tools in neuroscience (SO1); the applicability of these tools in neuromarketing research (SO2). These specific objectives have the mission to confirm or refute some working hypotheses which have the purpose to determine the importance of using these tools: the efficiency of marketing campaigns is higher by using these tools (H1); neuromarketing campaigns are more efficient when they are realized in a controlled environment (H2). Neuroscience is a vast and captivating study field, with many implications for both researchers and marketers. For sure it has provided a great understanding of how marketing campaigns should be created, but also how to understand consumer behavior, needs, and attitudes of individuals. During this research, it is now clearer than ever that neuroscience instruments are the core of not only future neuronal research but present ones too.
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