Vol. 8 (01) pp. 749-757 DOI: 10.21474/IJAR01/10358

ENTREPRENEUR PERSONALITY TRAITS AND BEHAVIORS MEASUREMENT USING SPATIAL MEASUREMENT

  • Research Scholar, Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor, Malaysia.
  • Lecturer, Department of Geoinformation Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor, Malaysia.
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Abstract

The government and the private sector encouraged entrepreneurship by offering various types of loans that provide employment opportunities as an effort to reduce poverty. Evidence has shown that personality traits and behaviors are vital roles in influencing entrepreneurship. Different evaluations should be done, including tests of personality traits and behavior. Agencies typically use a common method in evaluating entrepreneurs, such as self-reporting, interviews, and questionnaires. Nevertheless, psychologists and social researchers strongly question the shortcomings of these evaluation methods. The drawbacks of these methods include bias and entrepreneurs can fake their answers (Social Desirability Response). These circumstances reduce the chance of an honest and prospective entrepreneur to get loans when judged against an entrepreneur who knows how to exploit their answers to impress the evaluators. In order to avoid false answers and biases, numerous attempts have been carried out to assess entrepreneur personality traits and behavior objectively. Geographical space influence the behavior of entrepreneurs (activities) and the entrepreneurs activities can also influence changes in the geographical space. Therefore, it is advisable to include spatial components in personality and behavior evaluation. This article suggests a different approach in evaluating potential entrepreneurs that assesses personality traits and behaviors from a spatial perspective. A total of 100 questionnaires were distributed to micro-entrepreneurs and agencies which provide loans for micro-entrepreneurs. SmartPLS3 software is used for data processing and analysis following the collection of data. It was concluded from the results of this study, it is possible to evaluate personality and behaviors from a spatial perspective.

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References

  1. Ahmad, M., & Kadir, S. A. (2013). Characteristics of entrepreneurs and the practice of Islamic Values in influencing the success of small medium enterprises in Kelantan and Selangor. Journal of Social and Development Sciences, 4(5), 229-235.
  2. Alessandretti, L., Lehmann, S., & Baronchelli, A. (2018). Understanding the interplay between social and spatial behaviour. EPJ Data Science, 7(1), 36.
  3. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
  4. Baumeister, R. F., Vohs, K. D., & Funder, D. C. (2007). Psychology as the Science of Self-Reports and Finger Movements: Whatever Happened to Actual Behavior? Perspectives on Psychological Science, 2(4), 396-403. doi:10.1111/j.1745-6916.2007.00051.x
  5. Chin, W. W. (2010). How to write up and report PLS analyses. In Handbook of partial least squares (pp. 655-690): Springer.
  6. Chua, Y. P. (2012). Mastering research methods: Mcgraw-Hill Education.
  7. Conway, J. M., Jako, R. A., & Goodman, D. F. (1995). A meta-analysis of interrater and internal consistency reliability of selection interviews. Journal of Applied Psychology, 80(5), 565.
  8. de-Juan-Ripoll, C., Soler-Dom?nguez, J. L., Guixeres, J., Contero, M., ?lvarez Guti?rrez, N., & Alca?iz, M. (2018). Virtual Reality as a New Approach for Risk Taking Assessment. Frontiers in Psychology, 9(2532). doi:10.3389/fpsyg.2018.02532
  9. De Pillis, E., & Reardon, K. K. (2007). The influence of personality traits and persuasive messages on entrepreneurial intention: A cross-cultural comparison. Career development international, 12(4), 382-396.
  10. Dipboye, R. L. (1994). Structured and unstructured selection interviews: Beyond the job-fit model. Research in personnel and human resources management, 12, 79-123.
  11. (2003). Geographic Inquiry: Thinking Geographically. Retrieved from www.esri.com
  12. Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. In: SAGE Publications Sage CA: Los Angeles, CA.
  13. Hachana, R., Berraies, S., & Ftiti, Z. (2018). Identifying personality traits associated with entrepreneurial success: does gender matter? Journal of Innovation Economics Management(3), 169-193.
  14. Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433.
  15. Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications.
  16. Hammersley, M. (2013). The myth of research-based policy and practice: Sage.
  17. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135.
  18. Hogan, J., Barrett, P., & Hogan, R. (2007). Personality measurement, faking, and employment selection. Journal of Applied Psychology, 92(5), 1270.
  19. Kwan, M.-P. (2000). Analysis of human spatial behavior in a GIS environment: Recent developments and future prospects. Journal of Geographical Systems, 2(1), 85-90. doi:10.1007/s101090050034
  20. Longley, P. A., Goodchild, M. F., J., M. D., & Rhind, D. W. (2001). Geographic Information Systems and Science. : John Wiley & Sons Ltd. Reproduced
  21. Nga, J. K. H., & Shamuganathan, G. (2010). The influence of personality traits and demographic factors on social entrepreneurship start up intentions. Journal of Business Ethics, 95(2), 259-282.
  22. Nishantha, B. (2009). Influence of personality traits and socio-demographic background of undergraduate students on motivation for entrepreneurial career: the case of Sri Lanka.
  23. Nunnally, J., & Bernstein, I. (1994). Psychometric theory, . New York McGraw-Hill.
  24. Nwachukwu, A. (2012). The role of entrepreneurship in economic development: The Nigerian perspective. European Journal of Business and Management, 4(8), 96.
  25. Phellas, C. N., Bloch, A., & Seale, C. (2011). Structured methods: interviews, questionnaires and observation. Researching society and culture, 3.
  26. Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
  27. Ringle, C., Da Silva, D., & Bido, D. (2015). Structural equation modeling with the SmartPLS. Bido, D., da Silva, D., & Ringle, C.(2014). Structural Equation Modeling with the Smartpls. Brazilian Journal Of Marketing, 13(2).
  28. R?nkk?, M., & Evermann, J. (2013). A critical examination of common beliefs about partial least squares path modeling. Organizational Research Methods, 16(3), 425-448.
  29. Uher, J. (2015). Conceiving ?personality?: psychologists challenges and basic fundamentals of the Transdisciplinary Philosophy-of-Science Paradigm for Research on Individuals. Integrative Psychological and Behavioral Science, 49(3), 398-458.
  30. Wang, J.-H., Chang, C.-C., Yao, S.-N., & Liang, C. (2016). The contribution of self-efficacy to the relationship between personality traits and entrepreneurial intention. Higher Education, 72(2), 209-224. doi:10.1007/s10734-015-9946-y
  31. Wold, H. (1980). Model construction and evaluation when theoretical knowledge is scarce: Theory and application of partial least squares. In Evaluation of econometric models (pp. 47-74): Elsevier.
  32. Youyou, W., Kosinski, M., & Stillwell, D. (2015). Computer-based personality judgments are more accurate than those made by humans. Proceedings of the National Academy of Sciences, 112(4), 1036-1040. doi:10.1073/pnas.1418680112
  33. Zainol, F. A., & Ayadurai, S. (2011). Entrepreneurial orientation and firm performance: the role of personality traits in Malay family firms in Malaysia. International Journal of Business and Social Science, 2(1).

How to Cite This Article

Noorain Mohd. Nawawi and Uznir Ujang (2020); ENTREPRENEUR PERSONALITY TRAITS AND BEHAVIORS MEASUREMENT USING SPATIAL MEASUREMENT, Int. J. of Adv. Res., 8 (01), 749-757, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/10358

Corresponding Author

Noorain Mohd Nawawi
1. Research Scholar, Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor, Malaysia.