Business-related Concepts Research Articles

Identifying key success factors for startups With sentiment analysis using text data mining

It is aimed to identify the basic success factors, which are essential for startups as they intend to develop successful and profitable business models over time. To this end, it is attempted to analyze the sentiments on user-generated content (UGC) on Twitter. First, trigram word cloud is used. Then, a sentiment analysis is done with various predictive models including random forest, support-vector machine (SVM) and multilayer perceptron (MLP) to test the labeling of unlabeled data. To divide topics into negative, positive, and neutral sentiments, latent Dirichlet allocation (LDA) has been applied. According to the results, the MLP method on the basis of accuracy criterion offers an accuracy of 0.81, which is higher than other tested methods. In this regard, random forest and SVM methods provide accuracy of 0.78 and 0.80, respectively. Voting and stacking algorithms were used to increase the accuracy of the algorithms. However, it is found that with the use of voting method, the accuracy is almost equal to the results obtained from the MLP and with stacking method the accuracy is less than all three methods. Using word cloud, it is indicated that the most negative trigram is startups innovation regarding climate change, the most positive one is product marketing management and business-related concepts are determined as neutral. It is found that startup acceleration process, pushing for quicker completion, delivering the best product at the beginning of the project, poor management practices, and focusing just on properties are grouped as negative sentiments. On the other hand, sustainable and innovative business plan, the presence of experienced entrepreneurs and investors, coronavirus (COVID-19), and innovation are recognized as positive sentiments, and no analysis is given for neutral sentiments.

Money, a disconnecting agent: Reminders of money trigger a feeling of disconnection which increases the likelihood of unethical decisions.

For eons many have hypothesized the corrupting influence of money, and yet, there has been a great void in the way of empirical experimentation. However, a series of pioneering experiments has begun to show confirmation of previous assumptions, one of which showed that the mere thought of money can loosen morals. This paper reveals three new experiments that explore the underlying process of this phenomenon. The results of experiments 1 and 2 suggest that individuals primed with money are less ethical than both a control group and individuals primed with business-related concepts. Further questioning revealed that an underlying mechanism behind the unethical decisions may be a decreased feeling of human connection. In accordance with this finding, the results of experiment 3 demonstrate that priming with disconnection themes directly results in a greater likelihood of unethical decisions.

Instilling Service Learning to Undergraduate Business Students: A Case Study Approach to Understanding Business-Related Concepts with the Use of Kiva

<p>Higher education continues to place an emphasis on service-learning, specifically within business and management sciences (Kenworthy-U’Ren & Peterson, 2005). A local academic business organization at a small institution chose to embark on a service-learning endeavor. The purpose of this study was for business majors, active in Phi Beta Lambda (PBL), and their advisors/professors to further investigate microlending and other business-related concepts through the use of service learning. Service was provided to the campus community, area high school Future Business Leaders of America (FBLA) students, and to the borrowers of their Kiva loans. The research, qualitative in nature, employed case study methodology. Themes emerged in academic, personal, and civic dimensions as a result of analysis of student responses to guided questionnaires.</p>

Preparing Counselors-in-Training for Private Practice: A Course in Clinical Entrepreneurship

To date, few scholars in counselor education have attended to the processes and impacts of introducing business-related concepts within counseling curricula. The authors describe the development, implementation and evaluation of a graduate-level course titled Entrepreneurship in Clinical Settings wherein students were tasked with producing a business plan for their ideal clinical practice. Implications and recommendations are explored.