참고문헌
- Ahlin, B., Drnovsek, M., & Hisrich, R. D.(2014). Entrepreneurs' creativity and firm innovation: the moderating role of entrepreneurial self-efficacy. Small Business Economics, 43(1), 101-117. https://doi.org/10.1007/s11187-013-9531-7
- Antoncic, B., & Hisrich, R. D.(2004). Corporate entrepreneurship contingencies and organizational wealth creation. Journal of management development, 23, 518-550. https://doi.org/10.1108/02621710410541114
- Autio, E., Pathak, S., & Wennberg, K.(2013). Consequences of cultural practices for entrepreneurial behaviors. Journal of International Business Studies, 44(4), 334-362. https://doi.org/10.1057/jibs.2013.15
- Bogatyreva, K., Edelman, L. F., Manolova, T. S., Osiyevskyy, O., & Shirokova, G.(2019). When do entrepreneurial intentions lead to actions? The role of national culture. Journal of Business Research, 96, 309-321. https://doi.org/10.1016/j.jbusres.2018.11.034
- Botchkarev, A.(2018). Performance metrics(error measures) in machine learning regression, forecasting and prognostics: Properties and typology. arXiv preprint arXiv, 14, 45-79 https://doi.org/10.28945/4184
- Breiman, L.(2001). Random forests. Machine learning, 45(1), 5-32. https://doi.org/10.1023/A:1010933404324
- Breiman, L.(1996). Bagging predictors. Machine learning, 24(2), 123-140. https://doi.org/10.1007/BF00058655
- Chen, T., & Guestrin, C.(2016). Xgboost: A scalable tree boosting system. In Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, 785-794.
- Choudhury, P., Allen, R. T., & Endres, M. G.(2021). Machine learning for pattern discovery in management research. Strategic Management Journal, 42(1), 30-57. https://doi.org/10.1002/smj.3215
- Chulani, S., Boehm, B., & Steece, B.(1999). Bayesian analysis of empirical software engineering cost models. IEEE Transactions on Software Engineering, 25(4), 573-583. https://doi.org/10.1109/32.799958
- Cliff, J. E., Jennings, P. D., & Greenwood, R.(2006). New to the game and questioning the rules: The experiences and beliefs of founders who start imitative versus innovative firms. Journal of Business Venturing, 21(5), 633-663. https://doi.org/10.1016/j.jbusvent.2005.02.010
- Cyert, R. M., & March, J. G.(1963). A behavioral theory of the firm. Englewood Cliffs, NJ: Prentice Hall.
- Delmar, F., & Shane, S.(2006). Does experience matter? The effect of founding team experience on the survival an sales of newly founded ventures. Strategic Organization, 4(3), 215-247. https://doi.org/10.1177/1476127006066596
- Deniz, A., & Godekmerdan, L.(2012). Determining level of students' technological innovativeness: a case study. Procedia-Social and Behavioral Sciences, 47, 848-853. https://doi.org/10.1016/j.sbspro.2012.06.746
- Desyllas, P., & Hughes, A.(2010). Do high technology acquirers become more innovative?. Research Policy, 39(8), 1105-1121. https://doi.org/10.1016/j.respol.2010.05.005
- Dvir, D., Ben-David, A., Sadeh, A., & Shenhar, A. J.(2006). Critical managerial factors affecting defense projects success: A comparison between neural network and regression analysis. Engineering Applications of Artificial Intelligence, 19(5), 535-543. https://doi.org/10.1016/j.engappai.2005.12.002
- Efron, B., & Tibshirani, R.(1985). The bootstrap method for assessing statistical accuracy. Behaviormetrika, 12(17), 1-35. https://doi.org/10.2333/bhmk.12.17_1
- Farashah, A. D.(2015). The effects of demographic, cognitive and institutional factors on development of entrepreneurial intention: Toward a socio-cognitive model of entrepreneurial career. Journal of International Entrepreneurship, 13(4), 452-476. https://doi.org/10.1007/s10843-015-0144-x
- Freund, Y., & Schapire, R. E.(1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of computer and system sciences, 55(1), 119-139. https://doi.org/10.1006/jcss.1997.1504
- Goodfellow, I., Bengio, Y., Courville, A., & Bengio, Y.(2016). Deep learning(Vol. 1, No. 2). Cambridge: MIT press.
- Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, L., Wang, G., Cai, J., & Chen, T.(2018). Recent advances in convolutional neural networks. Pattern Recognition, 77, 354-377. https://doi.org/10.1016/j.patcog.2017.10.013
- Hailesilassie, T.(2016). Rule extraction algorithm for deep neural networks: A review. arXiv preprint arXiv, 14(7), 371-381.
- Heyburn, R., Bond, R. R., Black, M., Mulvenna, M., Wallace, J., Rankin, D., & Cleland, B.(2018). Machine learning using synthetic and real data: similarity of evaluation metrics for different healthcare datasets and for different algorithms. In Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018), 11, 1281-1291.
- Hurley, R. F. & Hult, T. M.(1998) Innovation, market orientation and organizational learning: an integration and empirical investigation. Journal of Marketing, 62(4), 42-54 https://doi.org/10.1177/002224299806200303
- Jordan, M. I., & Mitchell, T. M.(2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255-260. https://doi.org/10.1126/science.aaa8415
- Kim, J. Y.(2019). Impact of entrepreneurial orientation on small-and medium-sized enterprises' entrepreneurial performance: the mediating role of entrepreneurial knowledge position. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 14(2), 83-93. https://doi.org/10.16972/APJBVE.14.2.201904.83
- Koellinger, P.(2008). Why are some entrepreneurs more innovative than others?. Small Business Economics, 31(1), 21. https://doi.org/10.1007/s11187-008-9107-0
- Kong, H. W.(2018). The Relationship between Entrepreneurial Experience and Entrepreneurship Education and Entrepreneurial Intention: Moderating Effect of Gender and Social Protection. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 13(6), 129-141. https://doi.org/10.16972/APJBVE.13.6.201812.129
- Kriegeskorte, N., & Golan, T.(2019). Neural network models and deep learning. Current Biology, 29(7), R231-R236. https://doi.org/10.1016/j.cub.2019.02.034
- Kumari, K., & Yadav, S.(2018). Linear regression analysis study. Journal of the practice of Cardiovascular Sciences, 4(1), 33. https://doi.org/10.4103/jpcs.jpcs_8_18
- Kwak, J. M., Yang, Y. S., & Kim, M. S.(2017). A Study on the Influence of Personal Characteristics, Business Management Factors, and Capital Factors on Entrepreneurial Performance: In the Center of Ameliorating Small Businesses Supporting Policy by Government in Beauty Service Industry. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 12(3), 119-133. https://doi.org/10.16972/APJBVE.12.3.201706.119
- Lechner, C., & Gudmundsson, S. V.(2014). Entrepreneurial orientation, firm strategy and small firm performance. International Small Business Journal, 32(1), 36-60. https://doi.org/10.1177/0266242612455034
- Li, J., Qu, J., & Huang, Q.(2018). Why are some graduate entrepreneurs more innovative than others? The effect of human capital, psychological factor and entrepreneurial rewards on entrepreneurial innovativeness. Entrepreneurship & Regional Development, 30(5-6), 479-501. https://doi.org/10.1080/08985626.2017.1406540
- Lin, W., Wu, Z., Lin, L., Wen, A., & Li, J.(2017). An ensemble random forest algorithm for insurance big data analysis. Ieee access, 5, 16568-16575. https://doi.org/10.1109/ACCESS.2017.2738069
- Lumpkin, G. T., & Dess, G. G.(1996). Clarifying the entrepreneurial orientation construct and linking it to performance. Academy of management Review, 21(1), 135-172. https://doi.org/10.5465/AMR.1996.9602161568
- Marill, K. A.(2004). Advanced statistics: linear regression, part II: multiple linear regression. Academic emergency medicine, 11(1), 94-102. https://doi.org/10.1197/j.aem.2003.09.006
- Miralles, F., Giones, F., & Riverola, C.(2016). Evaluating the impact of prior experience in entrepreneurial intention. International Entrepreneurship and Management Journal, 12(3), 791-813. https://doi.org/10.1007/s11365-015-0365-4
- Mitchell, R., & Frank, E.(2017). Accelerating the XGBoost algorithm using GPU computing. PeerJ Computer Science, 3, e127-e163. https://doi.org/10.7717/peerj-cs.127
- Mohassel, P., & Zhang, Y.(2017). Secureml: A system for scalable privacy-preserving machine learning. In 2017 IEEE Symposium on Security and Privacy(SP), 19-38.
- Montebruno, P., Bennett, R. J., Smith, H., & Van Lieshout, C.(2020). Machine learning classification of entrepreneurs in British historical census data. Information Processing & Management, 57(3), 102210-102257. https://doi.org/10.1016/j.ipm.2020.102210
- Mueller, S. L., & Thomas, A. S.(2001). Culture and entrepreneurial potential: A nine country study of locus of control and innovativeness. Journal of business venturing, 16(1), 51-75. https://doi.org/10.1016/S0883-9026(99)00039-7
- Mueller, S.(2011). Increasing entrepreneurial intention: effective entrepreneurship course characteristics. International Journal of Entrepreneurship and Small Business, 13(1), 55-74. https://doi.org/10.1504/IJESB.2011.040416
- Nasution, M. D. T. P., Siahaan, A. P. U., Rossanty, Y., & Aryza, S.(2018). Entrepreneurship Intention Prediction using Decision Tree and Support Vector Machine. In Proceedings of the Joint Workshop KO2PI and The 1st International Conference on Advance & Scientific Innovation, 135-148.
- Nguyen, C.(2018). Demographic factors, family background and prior self-employment on entrepreneurial intention-Vietnamese business students are different: why?. Journal of Global Entrepreneurship Research, 8(1), 1-17. https://doi.org/10.1186/s40497-018-0087-5
- Prufer, J., & Prufer, P.(2020). Data science for entrepreneurship research: studying demand dynamics for entrepreneurial skills in the Netherlands. Small Business Economics, 55(3), 651-672. https://doi.org/10.1007/s11187-019-00208-y
- Putka, D. J., Beatty, A. S., & Reeder, M. C.(2018). Modern prediction methods: New perspectives on a common problem. Organizational Research Methods, 21(3), 689-732. https://doi.org/10.1177/1094428117697041
- Rezaei, J., Ortt, R., & Scholten, V.(2012). Measuring entrepreneurship: Expert-based vs. data-based methodologies. Expert Systems with Applications, 39(4), 4063-4074. https://doi.org/10.1016/j.eswa.2011.09.091
- Sabahi, S., & Parast, M. M.(2020). The impact of entrepreneurship orientation on project performance: A machine learning approach. International Journal of Production Economics, 226, 107621. https://doi.org/10.1016/j.ijpe.2020.107621
- Samuel, A. L.(1959). Some studies in machine learning using the game of checkers. IBM Journal of research and development, 3(3), 210-229. https://doi.org/10.1147/rd.33.0210
- Savolainen, T.(2008). Organizational Trust and Leadership as Driving Forces for Innovativeness. In Proceedings of the 13th International Conference on ISO9000 & TQM. Ho, S. (Ed.) Kuala Lumpur, MY 71-72.
- Sciascia, S., Clinton, E., Nason, R. S., James, A. E., & Rivera-Algarin, J. O.(2013). Family communication and innovativeness in family firms. Family relations, 62(3), 429-442. https://doi.org/10.1111/fare.12014
- Soriano, D. R., Guzman-Alfonso, C., & Guzman-Cuevas, J.(2012). Entrepreneurial intention models as applied to Latin America. Journal of Organizational Change Management, 25(5), 721-735. https://doi.org/10.1108/09534811211254608
- Tan, S. S., & Koh, H. C.(1996). Modelling entrepreneurial inclination with an artificial neural network. Journal of Small Business & Entrepreneurship, 13(2), 14-24. https://doi.org/10.1080/08276331.1996.10600518
- Torgo, L.(1997). Functional models for regression tree leaves. In ICML, 97, 385-393.
- Tu, J., Lin, A., Chen, H., Li, Y., & Li, C.(2019). Predict the entrepreneurial intention of fresh graduate students based on an adaptive support vector machine framework. Mathematical Problems in Engineering, 8, 76841-76855.
- Unay, F. G., & Zehir, C.(2012). Innovation intelligence and entrepreneurship in the fashion industry. Procedia-Social and Behavioral Sciences, 41, 315-321. https://doi.org/10.1016/j.sbspro.2012.04.036
- Urban, B.(2017). Corporate entrepreneurship in South Africa: The role of organizational factors and entrepreneurial alertness in advancing innovativeness. Journal of Developmental Entrepreneurship, 22(03), 1750015. https://doi.org/10.1142/S1084946717500157
- Vaillant, Y., & Lafuente, E.(2019). The increased international propensity of serial entrepreneurs demonstrating ambidextrous strategic agility. International Marketing Review, 36(2), 239-259. https://doi.org/10.1108/IMR-01-2018-0015
- Wang, Y. R., & Gibson Jr, G. E.(2010). A study of preproject planning and project success using ANNs and regression models. Automation in Construction, 19(3), 341-346. https://doi.org/10.1016/j.autcon.2009.12.007
- Wig, G. S., Laumann, T. O., Cohen, A. L., Power, J. D., Nelson, S. M., Glasser, M. F., Miezin, F. M., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E.(2014). Parcellating an individual subject's cortical and subcortical brain structures using snowball sampling of resting-state correlations. Cerebral cortex, 24(8), 2036-2054. https://doi.org/10.1093/cercor/bht056
- Yang, C. H., Motohashi, K., & Chen, J. R.(2009). Are new technology-based firms located on science parks really more innovative?: Evidence from Taiwan. Research policy, 38(1), 77-85. https://doi.org/10.1016/j.respol.2008.09.001
- Zhao, F.(2005). Exploring the synergy between entrepreneurship and innovation. International Journal of Entrepreneurial Behavior & Research, 11, 25-41. https://doi.org/10.1108/13552550510580825