Evaluation of Innovation Components in IT Startups with a Focus on Industry 4.0

محورهای موضوعی : Information Systems

Shahram Shakouri ¹ (Ph.D. Candidate, Department of Business Management, Tehran Central Branch, Islamic Azad University, Tehran, Iran.)
Abbas khamseh ² (Associate Professor, Department of Industrial Management, Karaj Branch, Islamic Azad University, Karaj, Iran)
Reza Radfar ³ (Professor, Department of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran)

تاریخ دریافت : 1401/12/25 تاریخ پذیرش : 1402/03/27 تاریخ انتشار : 1402/07/09

کلید واژه: Information-Technology, innovation, Startups, Industry 0.4,

چکیده مقاله :

This research has evaluated the innovation components in information technology startups with a focus on Industry 4.0. The approach of the current research is of a qualitative type and was implemented based on the meta-composite approach. On this basis, all articles published in ISI magazines, books and internal and external theses related to the topic of innovation in the field of startups and in the period of 2015 to 2021 were examined. According to the SIP model, the researchers identified 17 concepts and 96 codes for each of the 4 categories of substrate (background), input (input), the main category of process and output (output), which were paid attention to in internal and external studies. The results of this research will help researchers and practitioners in the field of innovation in information technology startups to know what variables and components should be included in the four sectors of the platform for a comprehensive understanding of the innovation development of startups based on the 0.4 industry. Pay attention to the main category of process and output. The present study contributes to the literature on startup technology innovation in information technology and its practices and outlines desirable practices for future researchers.

منابع و مأخذ:

1. Ahadi Serkani, S. Y., atarasadi, M., & Amini khouzani, M. (2023). Comprehensive Systematic Model of Fraud and Decisions in Financial Management: A Structural Equation Modeling Approach. Journal of System Management, 9(1), 119-132. https://doi:10.30495/jsm.2022.1968673.1693


2. Alhashmi, F., Alshurideh, M., Al Kurdi, B., Salloum, A., Alhashmi, S., Alshurideh, M., & Salloum, A. (2020). A Systematic Review of the Factors Affecting the Artificial Intelligence Implementation in the Health Care Sector. AICV, 12(7), 37-49. https://doi.org/10.1007/978-3-030-44289-7_4


3. Arcese, G., Flammini, S., Caludia-Lucchetti, M., & Martucci, O. (2015). Evidence and Experience of Open Sustainability Innovation Practices in the Food Sector. Sustainability, 7(2), 8067-8090. https://doi.org/10.3390/su7078067


4. Asghari, M., Khamseh, A., & Pilevari, N. (2020). A Model for Upgrading R & D Capabilities with a Qualitative Approach in the Power Plant Equipment Manufacturing and Energy Supply Industries. Innovation Management in Defense Organizations, 3(4), 125-150. https://doi.org/10.1016/j.jmsy.2019.04.008


5. Bhatti, H., Santoro, G., Khan, J., & Rizzato, F. (2021). Antecedents and Consequences of Business Model Innovation in the IT Industry. Journal of Business Research, 123(12), 389- 400. https://doi.org/10.1016/j.jbusres.2020.10.003


6. Dalmarco, G., Maehler, E., Trevisan, M., & Schiavini, M. (2017). The Use of Knowledge Management Practices by Brazilian Startup Companies. RAI Revista de Administracao e Inovacao, 14(3), 226–234. https://doi.org/10.1016/j.rai.2017.05.005


7. Dehkordi, M., & Haranaki, M., (2016). A Meta-synthesis of Social Innovation Models. Social Development & Welfare Planning, 7(26), 101-138. https://doi.org/10.22054/qjsd.2016.4888


8. Doblinger, C., Surana, K., & Anadon, L. (2019). Governments as Partners: The Role of Alliances in U.S. Clean-tech Startup Innovation. Research Policy, 48 (6), 1458-1475. https://doi.org/10.1016/j.respol.2019.02.006


9. Fakhr, H., Khastar, V., & Mousavi, S. (2018). The Antecedents and Consequences of Open Innovation and Innovation Atmosphere in Entrepreneurial Ecosystem of Startups with an Emphasis on Organizational Antecedents. An unpublished M.A. Thesis in Business Management, Kharazmi University.


10. Faria, D., Santos, P., & Zaidan, H. (2021). The Business Model Innovation and Lean Startup Process Supporting Startup Sustainability. Procedia Computer Science, 7(3), 93-101. https://doi.org/10.1016/j.procs.2021.01.106


11. Ghezzi, A., & Cavallo, A. (2018). Agile Business Model Innovation in Digital Entrepreneurship: Lean Startup Approaches. Forthcoming in Journal of Business Research, 4 (6): 1-20. https://doi.org/10.1016/j.jbusres.2018.06.013


12. Grabowska, S., & Saniuk, S. (2022). Development of Business Models in the Fourth Industrial Revolution: Conditions in the Context of Empirical Research on Worldwide Scope Companies Located in Poland. Journal of Open Innovation: Technology, Market, and Complexity, 8(2), 513-529. https://doi.org/10.3390/joitmc8020086


13. Iskandar, K., Jambak, I., Kosala, R., & Prabowo, H. (2017). Current Issue on Knowledge Management System for Future Research: A Systematic Literature Review. Procedia Computer Science, 116(8), 68-80. https://doi.org/10.1016/j.procs.2017.10.011


14. Jesemann, I. Beichter, T., & Marc, R. (2021). Investigation of the ‘Lean Startup’ Approach in Large Manufacturing Companies towards Customer-Driven Product Innovation in SMEs. Procedia CIRP, 99 (21), 711-716. https://doi.org/10.1016/j.procir.2021.03.095


15. Jiang, H., Gano, S., Zhao, S., & Chen, H. (2020). Competition of Technology Standards in Industry 4.0. An Innovation Ecosystem Perspective, 37(7), 12-23. https://doi.org/10.1002/sres.2718


16. Kim, J., San Kim, T., & Sohn, Y. (2020). Recommendation of Startups as Technology Cooperation Candidates from the Perspectives of Similarity and Potential: A deep Learning Approach. Decision Support Systems, 130(12), 113-129. https://doi.org/10.1016/j.dss.2019.113229


17. Kiyomarsi, E., Saeednia, H. R., & Alipour Darvishi, Z. (2021). The Effect of Advertising on Expectations and Perception of the Brand with Emphasis on the Mediating Role of Customer Experience Management in the Insurance Industry. Journal of System Management, 7(4), 183-204. doi: https://doi.org/10.30495/jsm.2021.1943472.1562


18. Korohodova, O., Onopriienko, K., & Kuzhel, V. (2020). The Interaction of Transnational Corporations with Startups in Industry 4.0. Journal of Finance Management, 11(2), 101-122. https://doi.org/10.20535/2307-5651.17.2020.216393


19. Lin, C., Shyu, Z., & Ding, K. (2017). A Cross-Strait Comparison of Innovation Policy under Industry 4.0 and Sustainability Development Transition. Sustainability, 9(7), 17-28. https://doi.org/10.3390/su9050786


20. Liu, C., Gamo, X., Ma, W., & Chen, X. (2019). Research on Regional Differences and Influencing Factors of Green Technology Innovation Efficiency of China's High-tech Industry. Journal of Computational and Applied Mathematics, 369(2), 112-139. https://doi.org/10.1016/j.cam.2019.112597


21. Martin, N., Matt, C., Niebel, C., & Blind, K. (2019). How Data Protection Regulation Affects Startup Innovation. Information Systems Frontiers, 21(18), 1307-1324. https://doi.org/10.1007/s10796-019-09974-2


22. Marullo, C., Casprini, E., Minin, D., & Piccaluga, A. (2018). Ready for Take‐off: How Open Innovation influences startup success. Wiley, 27(4), 476-488. https://doi.org/10.1111/caim.12272


23. Mehrani, S., & Kanafi, A. (2019). Presenting a Model for Diffusion of Accounting Innovations in the Public Sector. Governmental Accounting, 5(16), 9-24. https://doi.org/10.30473/gaa.2019.41556.1222


24. Mohajerani, M., Karimi, F., & Nadi, M. A. (2019). Identifying Open Innovation Components and Presenting a Model for Implementing Open Innovation at Universities. Scientific Journal of Innovation & Creativity in Humanities, 9(2), 199-226. https://journal.bpj.ir/article_668770.html?lang=en


25. Molaei, N., & Taheri, S. (2018). E-business Development with Model of Data Innovation, Open Government Data, and Open Innovation. Rahyaft. 28(69), 41-52. https://rahyaft.nrisp.ac.ir/article_13641.html


26. Morrar, R., Arman, H., & Mousa, S. (2017). The Fourth Industrial Revolution (Industry 4.0): A Social Innovation Perspective. Technology Innovation Management Review, 7(11), 9-15. https://doi.org/10.1080/09537287.2023.2217414


27. Namaayande, P., & Zarei, B. (2021). Modeling the Communication Technology Industry's Innovation Ecosystem using an Adaptive Neuro Fuzzy Inference System. Journal of System Management, 7(4), 69-92. https://doi:10.30495/jsm.2021.1942235.1534


28. Neyens, I., Faems, D., & Sels, L. (2021). The Impact of Continuous and Discontinuous Alliance Strategies on Start-Up Innovation Performance. International Journal of Technology, 30(8), 1127-1142. https://10.1504/IJTM.2010.035982


29. Ogiemwonyi, O., Nurul Alam, M., Azizan, N., & Hossain, S. (2023). Green innovation behaviour: Impact of industry 4.0 and open innovation. Journal of Heliyon, 9(6), 201-217. https://doi.org/10.1016/j.heliyon.2023.e16524


30. Oliva, F. & Kotabe, M. (2019). Barriers, Practices, Methods and Knowledge Management Tools in Startups. Journal of Knowledge Management, 23(9), 1838-1856. https://doi.org/10.1108/JKM-06-2018-0361


31. Radfar, R., & Khamseh, A. (2009). Technology Commercialization: An Effective Factor in Technology Development and Economy. Specialized Journal of Technology Development, 5(20), 33-40. https://doi.org/10.3390/joitmc5030065


32. Reischauer, G. (2018). Industry 4.0 as Policy-Driven Discourse to Institutionalize Innovation Systems in Manufacturing. Technological Forecasting & Social Change, 132(8): 26-33. https://doi.org/10.1016/j.techfore.2018.02.012


33. Rocha, F., Mamédio, F., & Quandt, O. (2019). Startups and the Innovation Ecosystem in Industry 4.0. Technology Analysis & Strategic Management, 15(3), 22-34. https://10.1080/09537325.2019.1628938


34. Seo, Y., Kim, D., & Lee, S. (2018). The Effects of Knowledge Assets on the Performances of Startup Firms: Moderating Effects of Promotion Focus. Journal of Asian Finance, Economics, & Business, 5(4), 187-199. https://doi.org/10.13106/jafeb.2018.vol5.no4.187


35. Spender, C., Corvello, V., Grimaldi, M., & Rippa, P. (2017). Startups and Open Innovation: A Review of the Literature. European Journal of Innovation Management, 20(1), 29-45. https://doi.org/10.1108/ejim-12-2015-0131


36. Stephan, A., Bening, R., Schmidt, S., Schwarz, M., Hoffmann, H. (2019). The Role of Inter-Sectoral Knowledge Spillovers in Technological Innovations: The case of Lithium-ion Batteries. Journal of Technological Forecasting and Social Change, 148(10): 119-137.https://doi.org/10.1016/j.techfore.2019.119718

 

37. Taheri, S., Abdolbaghi Ataabadi, A., Arman, M. H., & Vaziri Sarashk, M. (2023). The Mechanism of Volatility Spillover and Noise Trading Among Financial Markets and the Oil Market: Evidence from Iran. Journal of System Management, 9(1), 1-13. https://doi:10.30495/jsm.2022.1960629.1656


38. Thorne, S. (2022). Qualitative meta-synthesis. London: SAGE.


39. Ungerman, O., Dedkova, J., & Gurinova, K. (2018). The Impact of Marketing Innovation on the Competitiveness of Enterprises in the Context of Industry 0.4. Journal of Competitiveness, 10(2), 132-148. https://10.7441/joc.2018.02.09


40. Wang, L., Gong-li Luob, A., & Saric, Xue-F. (2020). What Nurtures Fourth Industrial Revolution? An Investigation of Economic and Social Determinants of Technological Innovation in Advanced Economies. Technological Forecasting & Social Change, 161(7), 120-135. https://doi.org/10.1016/j.techfore.2020.120305


41. Winden, V., & Carvalho, L. (2019). Intermediation in Public Procurement of Innovation: How Amsterdam’s Startup-in-Residence Programme Connects Startups to Urban Challenges. Research Policy, 4(1), 48-69. https://doi.org/10.1016/j.respol.2019.04.013