ارائه مدل قاعده محور جدید برای پیش‌بینی موفقیت شرکت‌های نوپای حوزه فناوری اطلاعات ایران

References

Arshadi, S. (2022). An Investigation into the Feasibility of Predicting the Success or Failure of Tech Startups, Golden Gate University. https://doi.org/10.3390/su10072346

Baidoun, S. D, R. N. Lussier, and M Burbar, and S. Awashra. )2018(. Prediction model of business success or failure for Palestinian small enterprises in the West Bank. Journal of Entrepreneurship in Emerging Economies, 10 (1), 60-80.

Baum, J. A. & Silverman, B. S. (2004). Picking winners or building them? Alliance, intellectual, and human capital as selection criteria in venture financing and performance of biotechnology startups. Journal of business venturing, 19 (3), 411-436. https://doi.org/10.1016/S0883-9026 (03) 00038-7

Bocken, N. M. (2015). Sustainable venture capital–catalyst for sustainable start-up success? Journal of cleaner production, 108, 647-658. https://doi.org/10.1016/j.jclepro.2015.05.079

Cannone, G. & Ughetto, E. (2014). Born globals: A cross-country survey on high-tech start-ups. International Business Review, 23 (1), 272-283. https://doi.org/10.1016/j.ibusrev.2013.05.003

Colombo, M. G. Delmastro, M. & Grilli, L. (2004). Entrepreneurs' human capital and the start-up size of new technology-based firms. International journal of industrial organization, 22 (8-9), 1183-1211. https://doi.org/10.1016/j.ijindorg.2004.06.006

Corea, F. G. Bertinetti and E. M. Cervellati (2021). "Hacking the venture industry: An Early-stage Startups Investment framework for data-driven investors." Machine Learning with Applications 5: 100062. https://doi.org/10.1016/j.mlwa.2021.100062

Dautzenberg, K. & Reger, G. (2010). Entrepreneurial team characteristics and success of new technology-based firms in Germany. International Journal of Business and Globalisation, 4 (1), 71-94.. https://doi.org/10.1504/IJBG.2010.029525

Forbes (2020). Startups Success Rates And Repositioning For The New Normal, https://www.forbes.com/sites/donbutler/2020/05/27/startups success-rates-and-repositioning-for-the-new normal/?sh=364bddd97a61

García-Muiña, F. E. & Navas-López, J. E. (2007). Explaining and measuring success in new business: The effect of technological capabilities on firm results. Technovation, 27 (1-2), 30-46. https://doi.org/10.1016/j.technovation.2006.04.004

Gartner, W. & Liao, J. (2012). The effects of perceptions of risk, environmental uncertainty, and growth aspirations on new venture creation success. Small Business Economics, 39 (3), 703-712. https://doi.org/10.1007/s11187-011-9356-1

Gelderen, M.v. Thurik, R. & Bosma, N. (2005). Success and risk factors in the pre-startup phase. Small business economics, 24 (4), 365-380. https://doi.org/10.1007/s11187-004-6994-6

Greve, A. & Salaff, J.W. (2003). Social Networks and Entrepreneurship. Entrepreneurship Theory and Practice, 1, 1-20. https://doi.org/10.1111/1540-8520.00029

Groenewegen, G. & de Langen, F. (2012). Critical success factors of the survival of start-ups with a radical innovation. Journal of Applied Economics and Business Research, 2 (3), 155-171.. https://doi.org/10.1007/s11187-004-6994-6

Gross, B. (2015). The single biggest reason why start-ups succeed, TED peach,­Last ­access: 2022.https://www.ted.com/talks/bill_gross_the_single_biggest_reason_why_start_ups_succeed

Hyder, S. & Lussier, R. (2016). Why businesses succeed or fail: A study on small businesses in Pakistan. Journal of Entrepreneurship in Emerging Economics, 8 (1), 82-100. https://doi.org/10.1108/JEEE-03-2015-0020

Krishna, A. Agrawal, A. & Choudhary, A. (2016, December). Predicting the outcome of startups: less failure, more success. In 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW) (pp. 798-805). IEEE. https://doi.org/10.1109/ICDMW.2016.0118

Ross, G. Das, S. Sciro, D. & Raza, H. (2021). CapitalVX: A machine learning model for startup selection and exit prediction. The Journal of Finance and Data Science, 7, 94-114. https://doi.org/10.1016/j.jfds.2021.04.001

Sadatrasoul, S. M. Ebadati, O. Saedi, R. (2020). 'A Hybrid Business Success Versus Failure Classification Prediction Model: A Case of Iranian Accelerated Start-ups', Journal of AI and Data Mining, 8 (2), pp. 279-287. doi: 10.22044/jadm.2020.8248.1963

Scarborough, N. M. & Zimmerer, T. W. (2012). Effective Small Management. An entrepreneurial Approach. 10th ed: Prentice Hall, New Jersey

Schneider, J. K. Dowling, M. & Raghuram, S. (2007). Empowerment as a success factor in start-up companies. Review of Managerial Science, 1 (2), 167-184. https://doi.org/10.1007/s11846-007-0001-y

Shaike Marom,& Robert N. Lussier (2014) “A Business Success Versus Failure Prediction Model for Small
Businesses in Israel” Journal Business and Economic Research https://doi.org/10.5296/ber.v4i2.5997

Strehle, F. Katzy, B. R. & Davila, T. (2010). Learning capabilities and the growth of technology-based new ventures. International Journal of Technology Management, 52 (1/2), 26-45.. https://doi.org/10.1504/IJTM.2010.035854

Thiranagama, R. & Edirisinghe, K. (2015). Factors affecting small business start-up of engineers and accountants in Sri Lanka. NSBM Business & Management Journal, 6 (1), 84-107.. https://doi.org/10.117/014920638401000108

Timmons, J. & Spinelli, S. (2004). New venture creation: Entrepreneurship for the 21st Century. New York: McGraw-Hill/Irwin.

Trang, T.V. Vinh, N.Q. & Quanghung, D. (2019). Application of Fuzzy Analytic Hierarchy Process in Prioritizing and Ranking Critical Success Factors of Innovation Startups. Wseas Transactions on Business and Economics. https://doi.org/10.1504/IJESB.2021.10038148

Van de Ven, A. H. Hudson, R. & Schroeder, D. M. (1984). Designing new business startups: Entrepreneurial, organizational, and ecological considerations. Journal of management, 10 (1), 87-108. https://doi.org/10.1177/014920638401000108

Vu, D. A. Bui, Q. H. & Pham, T. Q. (2012). Critical success factors for Vietnamese software companies: A framework for investigation. development, Journal of Sociological Research. 3 (2), 160-169. https://doi.org/10.5296/jsr.v3i2.2307

Żbikowski, K. and P. Antosiuk (2021). "A machine learning, bias-free approach for predicting business success using Crunchbase data." Information Processing & Management 58 (4): 102555. https://doi.org/10.1016/j.ipm.2021.102555

References [In Persian]

Adel, A. Sadeghi, A. Kordnaij, A. (2012). Entrepreneurship development journal, prioritizing factors affecting the success of small and medium-sized businesses in the field of superior technologies - Fuzzy network analysis process approach, 5 (2)، 165-184، doi: 10.22059/JED.2012.28546 [In Persian]

IRAN VC association. (2021). IRANs venture capital and private equity performance, Last access 2022 summer [In Persian]

Khalighi, A. Imani, F. (2020). IRAN startup Ecosystem analysis, Elecomstars, ElecomStars98-Report.pdf ecomotive.ir [In Persian]

Mokhtari Hasan Abad, S. Shavvalpour, S. & Hosseini Shakib, m. (2022). Typology of Failure Factors for Technological Start-ups in Information and Communication Technology (ICT) Sector. Iranian Journal of Information Management, 7 (2), 49-74. https://doi.org/10.22034/aimj.2022.156214, [In Persian]

 SadatRasoul, S. M. Habibi, N. & Ebadati, O. M. (2020). A Rule base Business Success versus Failure Apriori Prediction Model: A Case of Iranian Start-Ups. Iranian Journal of Information Management, 5 (2), 158-174. doi: 10.22034/aimj.2020.111295 [In Persian]

Sakhdari, K. Zarei, B, Sadeghi, S. (2017) Analyzing Start Ups’ Behavioural Model Based on the Customer Development Model (Case Study: Startups in the Accelerators of Tehran), 10 (3), 395-415.10.22059/jed.2017.236576.652243

Taghavifard, M, T. Radmard, M. Jafarnezhad, M. Harati Nik, M. R. (2019). Challenges of Valuation and Evaluation of Information Technology Startup Companies, 7 (27), 29-58https://doi.org/10.22054/ims.2019.9983 [In Persian]

 

 

References

Arshadi, S. (2022). An Investigation into the Feasibility of Predicting the Success or Failure of Tech Startups, Golden Gate University. https://doi.org/10.3390/su10072346

Baidoun, S. D, R. N. Lussier, and M Burbar, and S. Awashra. )2018(. Prediction model of business success or failure for Palestinian small enterprises in the West Bank. Journal of Entrepreneurship in Emerging Economies, 10 (1), 60-80.

Baum, J. A. & Silverman, B. S. (2004). Picking winners or building them? Alliance, intellectual, and human capital as selection criteria in venture financing and performance of biotechnology startups. Journal of business venturing, 19 (3), 411-436. https://doi.org/10.1016/S0883-9026 (03) 00038-7

Bocken, N. M. (2015). Sustainable venture capital–catalyst for sustainable start-up success? Journal of cleaner production, 108, 647-658. https://doi.org/10.1016/j.jclepro.2015.05.079

Cannone, G. & Ughetto, E. (2014). Born globals: A cross-country survey on high-tech start-ups. International Business Review, 23 (1), 272-283. https://doi.org/10.1016/j.ibusrev.2013.05.003

Colombo, M. G. Delmastro, M. & Grilli, L. (2004). Entrepreneurs' human capital and the start-up size of new technology-based firms. International journal of industrial organization, 22 (8-9), 1183-1211. https://doi.org/10.1016/j.ijindorg.2004.06.006

Corea, F. G. Bertinetti and E. M. Cervellati (2021). "Hacking the venture industry: An Early-stage Startups Investment framework for data-driven investors." Machine Learning with Applications 5: 100062. https://doi.org/10.1016/j.mlwa.2021.100062

Dautzenberg, K. & Reger, G. (2010). Entrepreneurial team characteristics and success of new technology-based firms in Germany. International Journal of Business and Globalisation, 4 (1), 71-94.. https://doi.org/10.1504/IJBG.2010.029525

Forbes (2020). Startups Success Rates And Repositioning For The New Normal, https://www.forbes.com/sites/donbutler/2020/05/27/startups success-rates-and-repositioning-for-the-new normal/?sh=364bddd97a61

García-Muiña, F. E. & Navas-López, J. E. (2007). Explaining and measuring success in new business: The effect of technological capabilities on firm results. Technovation, 27 (1-2), 30-46. https://doi.org/10.1016/j.technovation.2006.04.004

Gartner, W. & Liao, J. (2012). The effects of perceptions of risk, environmental uncertainty, and growth aspirations on new venture creation success. Small Business Economics, 39 (3), 703-712. https://doi.org/10.1007/s11187-011-9356-1

Gelderen, M.v. Thurik, R. & Bosma, N. (2005). Success and risk factors in the pre-startup phase. Small business economics, 24 (4), 365-380. https://doi.org/10.1007/s11187-004-6994-6

Greve, A. & Salaff, J.W. (2003). Social Networks and Entrepreneurship. Entrepreneurship Theory and Practice, 1, 1-20. https://doi.org/10.1111/1540-8520.00029

Groenewegen, G. & de Langen, F. (2012). Critical success factors of the survival of start-ups with a radical innovation. Journal of Applied Economics and Business Research, 2 (3), 155-171.. https://doi.org/10.1007/s11187-004-6994-6

Gross, B. (2015). The single biggest reason why start-ups succeed, TED peach,­Last ­access: 2022.https://www.ted.com/talks/bill_gross_the_single_biggest_reason_why_start_ups_succeed

Hyder, S. & Lussier, R. (2016). Why businesses succeed or fail: A study on small businesses in Pakistan. Journal of Entrepreneurship in Emerging Economics, 8 (1), 82-100. https://doi.org/10.1108/JEEE-03-2015-0020

Krishna, A. Agrawal, A. & Choudhary, A. (2016, December). Predicting the outcome of startups: less failure, more success. In 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW) (pp. 798-805). IEEE. https://doi.org/10.1109/ICDMW.2016.0118

Ross, G. Das, S. Sciro, D. & Raza, H. (2021). CapitalVX: A machine learning model for startup selection and exit prediction. The Journal of Finance and Data Science, 7, 94-114. https://doi.org/10.1016/j.jfds.2021.04.001

Sadatrasoul, S. M. Ebadati, O. Saedi, R. (2020). 'A Hybrid Business Success Versus Failure Classification Prediction Model: A Case of Iranian Accelerated Start-ups', Journal of AI and Data Mining, 8 (2), pp. 279-287. doi: 10.22044/jadm.2020.8248.1963

Scarborough, N. M. & Zimmerer, T. W. (2012). Effective Small Management. An entrepreneurial Approach. 10th ed: Prentice Hall, New Jersey

Schneider, J. K. Dowling, M. & Raghuram, S. (2007). Empowerment as a success factor in start-up companies. Review of Managerial Science, 1 (2), 167-184. https://doi.org/10.1007/s11846-007-0001-y

Shaike Marom,& Robert N. Lussier (2014) “A Business Success Versus Failure Prediction Model for Small
Businesses in Israel” Journal Business and Economic Research https://doi.org/10.5296/ber.v4i2.5997

Strehle, F. Katzy, B. R. & Davila, T. (2010). Learning capabilities and the growth of technology-based new ventures. International Journal of Technology Management, 52 (1/2), 26-45.. https://doi.org/10.1504/IJTM.2010.035854

Thiranagama, R. & Edirisinghe, K. (2015). Factors affecting small business start-up of engineers and accountants in Sri Lanka. NSBM Business & Management Journal, 6 (1), 84-107.. https://doi.org/10.117/014920638401000108

Timmons, J. & Spinelli, S. (2004). New venture creation: Entrepreneurship for the 21st Century. New York: McGraw-Hill/Irwin.

Trang, T.V. Vinh, N.Q. & Quanghung, D. (2019). Application of Fuzzy Analytic Hierarchy Process in Prioritizing and Ranking Critical Success Factors of Innovation Startups. Wseas Transactions on Business and Economics. https://doi.org/10.1504/IJESB.2021.10038148

Van de Ven, A. H. Hudson, R. & Schroeder, D. M. (1984). Designing new business startups: Entrepreneurial, organizational, and ecological considerations. Journal of management, 10 (1), 87-108. https://doi.org/10.1177/014920638401000108

Vu, D. A. Bui, Q. H. & Pham, T. Q. (2012). Critical success factors for Vietnamese software companies: A framework for investigation. development, Journal of Sociological Research. 3 (2), 160-169. https://doi.org/10.5296/jsr.v3i2.2307

Żbikowski, K. and P. Antosiuk (2021). "A machine learning, bias-free approach for predicting business success using Crunchbase data." Information Processing & Management 58 (4): 102555. https://doi.org/10.1016/j.ipm.2021.102555

References [In Persian]

Adel, A. Sadeghi, A. Kordnaij, A. (2012). Entrepreneurship development journal, prioritizing factors affecting the success of small and medium-sized businesses in the field of superior technologies - Fuzzy network analysis process approach, 5 (2)، 165-184، doi: 10.22059/JED.2012.28546 [In Persian]

IRAN VC association. (2021). IRANs venture capital and private equity performance, Last access 2022 summer [In Persian]

Khalighi, A. Imani, F. (2020). IRAN startup Ecosystem analysis, Elecomstars, ElecomStars98-Report.pdf ecomotive.ir [In Persian]

Mokhtari Hasan Abad, S. Shavvalpour, S. & Hosseini Shakib, m. (2022). Typology of Failure Factors for Technological Start-ups in Information and Communication Technology (ICT) Sector. Iranian Journal of Information Management, 7 (2), 49-74. https://doi.org/10.22034/aimj.2022.156214, [In Persian]

 SadatRasoul, S. M. Habibi, N. & Ebadati, O. M. (2020). A Rule base Business Success versus Failure Apriori Prediction Model: A Case of Iranian Start-Ups. Iranian Journal of Information Management, 5 (2), 158-174. doi: 10.22034/aimj.2020.111295 [In Persian]

Sakhdari, K. Zarei, B, Sadeghi, S. (2017) Analyzing Start Ups’ Behavioural Model Based on the Customer Development Model (Case Study: Startups in the Accelerators of Tehran), 10 (3), 395-415.10.22059/jed.2017.236576.652243

Taghavifard, M, T. Radmard, M. Jafarnezhad, M. Harati Nik, M. R. (2019). Challenges of Valuation and Evaluation of Information Technology Startup Companies, 7 (27), 29-58https://doi.org/10.22054/ims.2019.9983 [In Persian]

 

 

 

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