The impact of the belief system on economics students of the Amazon State University: perceptions and attitudes
DOI:
https://doi.org/10.33936/ecasinergia.v16i2.6985Abstract
The Lean Satartup method, based on Toyota´s Lean Manufacturing model, reduce failure by validating demand before developing a product. The objective of this research is to analyze the degree of application of the Lean Startup principles in the 100% cocoa paste product produced by the Guayacán Unidos association of the Pichincha canton. This study applied a methodology was applied, and the interview technique through intentional sampling was used. The results revealed that the association began with an unvalidated hypothesis, which led to the development of an undemanded minimum viable product such as 100% cocoa paste. However, this product was launched on the market without prior interaction with potential customers, which resulted in very low sales and insufficient economic returns for producers. Based on the analysis and learning obtained following the recommendations of Erick Ries, creator of the Lean Startup method, two possible decisions were identified in such situations: preserve the current strategy or pivot in a new direction. In this case study, the company Guayacán Unidos chose to pivot, adjusting its business strategy to better align with the needs and preferences of the market.
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Aithal, A., & Aithal, P. S. (2020). Development and Validation of Survey Questionnaire & Experimental Data-A Systematical Review-based Statistical Approach. https://ssrn.com/abstract=3724105
Bryman Alan. (2016). Social Research Methods (5a ed). Oxford University Press.
Castillo, C. C., & Robaina Acosta, M. (2022). Relaciones entre las actitudes hacia la Matemática y el rendimiento académico de los estudiantes (Vol. 20, Issue 3).
Charalambides, M., Panaoura, R., Tsolaki, E., & Pericleous, S. (2023). First Year Engineering Students’ Difficulties with Math Courses- What Is the Starting Point for Academic Teachers? Education Sciences, 13(8). https://doi.org/10.3390/educsci13080835
Deliyianni, E., Gagatsis, A., Panaoura, A., Nicolaou, S., Elia, I., & Stamatakis, S. (2021). The Role of Representations in the Understanding of Mathematical Concepts in Higher Education: The case of Function for Economics Students. Journal of Research in Science, Mathematics and Technology Education, 5(1), 69–92. https://doi.org/10.31756/jrsmte.513
Dias, C. R. G., Vieira Gomes, J., & Ribeiro Júnior, J. I. (2023). Performance of the Principal Components Estimation Method on Factor Analysis Quality without and with Varimax Rotation. Brazilian Journal of Biometrics, 41(4), 345–360. https://doi.org/10.28951/bjb.v41i4.632
Grootenboer, P., & Marshman, M. (2016). Students’ Beliefs and Attitudes About Mathematics and Learning Mathematics. In P. Grootenboer & M. Marshman (Eds.), Mathematics, Affect and Learning: Middle School Students’ Beliefs and Attitudes About Mathematics Education (pp. 55–74). Springer Singapore. https://doi.org/10.1007/978-981-287-679-9_4
Hair, J. F., Page, M., & Brunsveld, N. (2019). Essentials of Business Research Methods. Routledge. https://doi.org/10.4324/9780429203374
Hidayatullah, A., & Csíkos, C. (2023). Exploring students’ mathematical beliefs: gender, grade, and culture differences. Journal on Efficiency and Responsibility in Education and Science, 16(3), 186–195. https://doi.org/10.7160/eriesj.2023.160303
Huang, L., Doorman, M., & Van Joolingen, W. (2021). Inquiry-Based Learning Practices in Lower-Secondary Mathematics Education Reported by Students from China and the Netherlands. 19, 1505–1521. https://doi.org/10.1007/s10763-020-10122-5
Hussein, H. (2023). Global Trends in Mathematics Education Research. International Journal of Research in Educational Sciences, 6(2), 309–319. https://doi.org/10.29009/ijres.6.2.9
Hwang, S., & Son, T. (2021). Students’ attitude toward mathematics and its relationship with mathematics achievement. Journal of Education and E-Learning Research, 8(3), 272–280. https://doi.org/10.20448/JOURNAL.509.2021.83.272.280
Imanbayev, K., Sinchev, B., Sibanbayeva, S., Mukhanova, A., Nurgulzhanovа, A., Zaurbekov, N., Zaurbekova, N., Korolyova, N. V, & Baibolova, L. (2021). Analysis and mathematical modeling of big data processing. Peer-to-Peer Networking and Applications, 14(5), 2626–2634. https://doi.org/10.1007/s12083-020-00978-3
Ishtiaq, M. (2019). Book Review Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: Sage. English Language Teaching, 12(5), 40. https://doi.org/10.5539/elt.v12n5p40
Kotian, H., Varghese, A. L., & Rohith, M. (2022). An R Function for Cronbach’s Alpha Analysis: A Case-Based Approach. National Journal of Community Medicine, 13(8), 571–575. https://doi.org/10.55489/njcm.130820221149
Lazarides, R., Dicke, A. L., Rubach, C., & Eccles, J. S. (2020). Profiles of motivational beliefs in math: Exploring their development, relations to student-perceived classroom characteristics, and impact on future career aspirations and choices. Journal of Educational Psychology, 112(1), 70–92. https://doi.org/10.1037/edu0000368
Leitón García, A., Carvajal Ruiz, J., & Gamboa Araya, R. (2024). Actitudes y creencias hacia las matemáticas y el talento matemático: un análisis con docentes participantes y no participantes en Olcoma. In Revista Comunicación. Año (Vol. 45, Issue 1). https://orcid.org/0000-0002-9531-0372
Liu, X., Gong, S.-Y., Zhang, H., Yu, Q., & Zhou, Z. (2021). Perceived teacher support and creative self-efficacy: The mediating roles of autonomous motivation and achievement emotions in Chinese junior high school students. Thinking Skills and Creativity, 39, 100752. https://doi.org/10.1016/j.tsc.2020.100752
Morell Pérez, L., Gutiérrez De León, E. T., & Hernández Ramos, H. (2024). Incidencia del sistema de creencias de los estudiantes de Ingeniería, en el aprendizaje de las matemáticas y rendimiento académico, universidad estatal Mazónica Ecuador, año 2023. Revista Ciencia y Tecnología El Higo, 14(1), 117–134. https://doi.org/10.5377/elhigo.v14i1.18161
Özcan, B., & Kültür, Y. Z. (2021). The Relationship Between Sources of Mathematics Self-Efficacy and Mathematics Test and Course Achievement in High School Seniors. Sage Open, 11(3), 21582440211040124. https://doi.org/10.1177/21582440211040124
Rincon, G. A., Fernández Cézar, R., & Hernandez, C. F. (2020). Beliefs about mathematics and academic performance: A descriptive-correlational analysis. Journal of Physics: Conference Series, 1514. https://doi.org/10.1088/1742-6596/1514/1/012021
Takase, M., Niitani, M., & Imai, T. (2020). What educators could do to facilitate students’ use of a deep approach to learning: A multisite cross-sectional design. Nurse Education Today, 89, 104422. https://doi.org/10.1016/j.nedt.2020.104422
Winton, B. G., & Sabol, M. A. (2022). A multi-group analysis of convenience samples: free, cheap, friendly, and fancy sources. International Journal of Social Research Methodology, 25(6), 861–876. https://doi.org/10.1080/13645579.2021.1961187
Yin, H., Shi, L., Tam, W. W. Y., & Lu, G. (2020). Linking university mathematics classroom environments to student achievement: The mediation of mathematics beliefs. Studies in Educational Evaluation, 66, 100905. https://doi.org/10.1016/J.STUEDUC.2020.100905
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