THE BAYESIAN SEM APPROACH ON RELIGIOUS TOURISM AND SME'S ENTREPRENEURIAL OPPORTUNITY INTERRELATION IN RURAL AREA
Abstract
Economics, social and culture are interrelated fields in developing a country. The social and cultural conditions that grow in an area affect how the economy develops in that area and its surrounding. This study analyzed a causal relationship from 60 nascent entrepreneurs at rural area of religious tourism with Bayesian SEM to handle a small amount of data. Based on the results of the analysis, it was found that entrepreneurial motivation and cultural motivation had a significant effect on rural religious tourism. The latent variable of rural religious tourism and entrepreneurial motivation have a significant effect on SME's entrepreneurial opportunity. The entrepreneurial motivation variable has a correlation with the cultural motivation variable.This characteristics has established the Minangkabau heritage of rural area described on its strong religious tourism aspect into SME's entrepreneurial challenge of nascent entrepreneurs.
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References
D. Barrado-Timón, A. Palacios, and C. Hidalgo-Giralt, “Medium and Small Cities, Culture and the Economy of Culture. A Review of the Approach to the Case of Spain in Light of International Scientific Scholarship," Sustainability, vol. 12, no. 18. p. 7321, 2020, doi: 10.3390/su12187321.
J. Costa, A. C. Rodrigues, and M. R. Ferreira, "Organizational Culture in Social Economy Organizations," J. Sci. Pap. Econ. Sociol., vol. 13, no. 3, pp. 155–170, 2020, doi: doi:10.14254/2071-789X.2020/13-3/10.
F. Eggers, "Masters of disasters? Challenges and opportunities for SMEs in times of crisis," J. Bus. Res., vol. 116, no. 1, pp. 199–208, 2020, doi: https://doi.org/10.1016/j.jbusres.2020.05.025.
M. Jawad, T. Hone, E. P. Vamos, V. Cetorelli, and C. Millett, "Implications of armed conflict for maternal and child health: A regression analysis of data from 181 countries for 2000–2019," PLOS Med., vol. 18, no. 9, p. e1003810, Sep. 2021, [Online]. Available: https://doi.org/10.1371/journal.pmed.1003810.
S. Rambotti and R. L. Breiger, "Extreme and Inconsistent: A Case-Oriented Regression Analysis of Health, Inequality, and Poverty," Socius, vol. 6, p. 2378023120906064, Jan. 2020, doi: 10.1177/2378023120906064.
Z. H. Radhy, "Application of Multiply Regression Linear Model and New Technology Method in Estimating Learning and Education of Students," Int. Electron. J. Math. Educ., vol. 14, no. 1, pp. 87–90, 2019, doi: doi.org/10.12973/iejme/3978.
H. Vaddireddy, A. Rasheed, A. E. Staples, and O. San, "Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data," Phys. Fluids, vol. 32, no. 1, p. 15113, Jan. 2020, doi: 10.1063/1.5136351.
M. Abdelrahman, "Personality Traits, Risk Perception, and Protective Behaviors of Arab Residents of Qatar During the COVID-19 Pandemic," Int. J. Ment. Health Addict., 2020, doi: 10.1007/s11469-020-00352-7.
D. Takagi and T. Shimada, "A Spatial Regression Analysis on the Effect of Neighborhood-Level Trust on Cooperative Behaviors: Comparison With a Multilevel Regression Analysis ," Frontiers in Psychology , vol. 10. p. 2799, 2019, [Online]. Available: https://www.frontiersin.org/article/10.3389/fpsyg.2019.02799.
A. A. Sozinova, "Causal Connections of Formation of Industry 4.0 from the Positions of the Global Economy BT - Industry 4.0: Industrial Revolution of the 21st Century," E. G. Popkova, Y. V Ragulina, and A. V Bogoviz, Eds. Cham: Springer International Publishing, 2019, pp. 131–143.
M. Knoblach, M. Roessler, and P. Zwerschke, "The Elasticity of Substitution Between Capital and Labour in the US Economy: A Meta-Regression Analysis," Oxf. Bull. Econ. Stat., vol. 82, no. 1, pp. 62–82, Feb. 2020, doi: https://doi.org/10.1111/obes.12312.
D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to Linear Regression Analysis. Wiley, 2021.
T. Z. Keith, Multiple Regression and Beyond : An Introduction to Multiple Regression and Structural Equation Modeling, 3rd ed. New York: Routledge, 2019.
F. Yanuar, D. Devianto, S. Marisa, and A. Zetra, "Consistency test of reliability index in SEM model," Appl. Math. Sci., vol. 9, no. 106, pp. 5283–5292, 2015, doi: dx.doi.org/10.12988/ams.2015.56446.
M. K. Cain and Z. Zhang, "Fit for a Bayesian: An Evaluation of PPP and DIC for Structural Equation Modeling," Struct. Equ. Model. A Multidiscip. J., vol. 26, no. 1, pp. 39–50, Jan. 2019, doi: 10.1080/10705511.2018.1490648.
S. Y. Lee, Structural Equation Modeling: A Bayesian Approach. Chichester: John Wiley & Sons, 2007.
R. M. Sirkin, Statistics for the Social Sciences. SAGE Publications, 2006.
K. A. Bollen, Structural Equations with Latent Variables. Toronto: John Wiley & Sons, 1989.
J. B. Ullman, "Structural equation modeling: reviewing the basics and moving forward," J. Pers. Assess., vol. 87, no. 1, pp. 35–50, 2006, doi: 10.1207/s15327752jpa8701_03.
G. E. P. Box and G. C. Tiao, Bayesian Inference in Statistical Analysis. New York: Addison-Wesley Pub. Co., 1992.
R. J. Muirhead, Aspects of Multivariate Statistical Theory. New Jersey: John Wiley & Sons, 2005.
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