Document Type : Original Article
Authors
1 Master's degree in entrepreneurship, new business orientation, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran
2 Assistant Professor, Department of Development, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran
3 Master's student in public administration, majoring in organizational behavior, Faculty of Management, University of Tehran, Tehran, Iran
Abstract
The emergence of Web 3, characterized by the integration of digital technologies such as artificial intelligence, machine learning, big data, and blockchain, has the potential to revolutionize traditional business practices. This transformative phase, referred to as Web 3 entrepreneurship, is disrupting established industries and creating new markets, thereby driving economic growth and generating employment opportunities. However, the rapid pace of technological advancement presents complex challenges that necessitate exceptional adaptability and continuous learning within the evolving entrepreneurial landscape. This study aims to identify the critical factors for growth and success, as well as to explore the implications of this modern form of entrepreneurship. To achieve this, a Delphi study was conducted involving 30 industry experts, leading to the identification of four categories of key success factors: technological, individual, environmental, and organizational. The findings of this research revealed that while there are potential adverse environmental, social, and economic consequences, such as the risk of creating a digital divide and increased energy consumption, there are also opportunities inherent in this technology. These opportunities include the potential to mitigate these consequences by fostering greater transparency and trust in transactions, creating new decentralized ecosystem-based opportunities, and developing sustainable solutions to address environmental challenges.
Keywords
[1] F. Sussan and Z. J. Acs, “The digital entrepreneurial ecosystem,” Small Bus. Econ., vol. 49, pp. 55–73, 2017, doi: https://doi.org/10.1007/s11187-017-9867-5.
[2] S. Fatemeh, A. Mohaghar, nasrin dastranj mamaghani, and K. Monireh, “presenting technological catch up framework based on grounded theory and meta-synthesis,” Manag. Res. Iran, vol. 24, no. 1, pp. 107–129, 2021, [Online]. Available: https://mri.modares.ac.ir/article_519.html. [In Persian]
[3] D. W. E. Allen and J. Potts, “Web3 toolkits: A user innovation theory of crypto development,” J. Open Innov. Technol. Mark. Complex., vol. 9, no. 2, p. 100050, 2023, doi: https://doi.org/10.1016/j.joitmc.2023.100050.
[4] D. Tapscott and A. Tapscott, Blockchain revolution: how the technology behind bitcoin is changing money, business, and the world. Penguin, 2016.
[5] A. J. A. M. Van Deursen, E. Helsper, R. Eynon, and J. A. G. M. Van Dijk, “The compoundness and sequentiality of digital inequality,” Int. J. Commun., vol. 11, pp. 452–473, 2017, [Online]. Available: https://eprints.lse.ac.uk/68921/.
[6] C. Lagarde, “Addressing the dark side of the crypto world,” IMF blog, vol. 13, 2018, [Online]. Available: https://s03.s3c.es/imag/doc/2018-03-13/MDCryptoAssetBlog.pdf.
[7] Z. Zhang, X. Song, L. Liu, J. Yin, Y. Wang, and D. Lan, “Recent Advances in Blockchain and Artificial Intelligence Integration: Feasibility Analysis, Research Issues, Applications, Challenges, and Future Work,” Secur. Commun. Networks, vol. 2021, p. 9991535, 2021, doi: 10.1155/2021/9991535.
[8] T. N. Dinh and M. T. Thai, “AI and Blockchain: A Disruptive Integration,” Computer (Long. Beach. Calif)., vol. 51, no. 9, pp. 48–53, 2018, doi: 10.1109/MC.2018.3620971.
[9] H. F. Atlam, M. A. Azad, A. G. Alzahrani, and G. Wills, “A Review of Blockchain in Internet of Things and AI,” Big Data and Cognitive Computing, vol. 4, no. 4. 2020, doi: 10.3390/bdcc4040028.
[10] K. Salah, M. H. U. Rehman, N. Nizamuddin, and A. Al-Fuqaha, “Blockchain for AI: Review and open research challenges,” IEEE Access, vol. 7, pp. 10127–10149, 2019, doi: 10.1109/ACCESS.2018.2890507.
[11] S. Tanwar, Q. Bhatia, P. Patel, A. Kumari, P. K. Singh, and W.-C. Hong, “Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward,” IEEE Access, vol. 8, pp. 474–488, 2020, doi: 10.1109/ACCESS.2019.2961372.
[12] X. Chen, J. Ji, C. Luo, W. Liao, and P. Li, “When Machine Learning Meets Blockchain: A Decentralized, Privacy-preserving and Secure Design,” in 2018 IEEE International Conference on Big Data (Big Data), 2018, pp. 1178–1187, doi: 10.1109/BigData.2018.8622598.
[13] E. BANDARA et al., “Mystiko—Blockchain Meets Big Data,” in 2018 IEEE International Conference on Big Data (Big Data), 2018, pp. 3024–3032, doi: 10.1109/BigData.2018.8622341.
[14] F. Muheidat, D. Patel, S. Tammisetty, L. A. Tawalbeh, and M. Tawalbeh, “Emerging Concepts Using Blockchain and Big Data,” Procedia Comput. Sci., vol. 198, pp. 15–22, 2022, doi: https://doi.org/10.1016/j.procs.2021.12.206.
[15] R. F. Bortolini, M. Nogueira Cortimiglia, A. de M. F. Danilevicz, and A. Ghezzi, “Lean Startup: a comprehensive historical review,” Manag. Decis., vol. 59, no. 8, pp. 1765–1783, Jan. 2021, doi: 10.1108/MD-07-2017-0663.
[16] S.-W. Seong et al., “Prpl: a decentralized social networking infrastructure,” in Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond, 2010, pp. 1–8, doi: https://doi.org/10.1145/1810931.1810939.
[17] L. Caruso, “Digital innovation and the fourth industrial revolution: epochal social changes?,” Ai Soc., vol. 33, no. 3, pp. 379–392, 2018, doi: https://doi.org/10.1007/s00146-017-0736-1.
[18] M. Swan, Blockchain: Blueprint for a new economy. “ O’Reilly Media, Inc.,” 2015.
[19] S. Jahanyan and F. Hashemi, “Designig a supply chain model on blockchain- based IoT: A Grounded theory systematic review,” Mod. Res. Decis. Mak., vol. 7, no. 3, pp. 171–191, 2022, [Online]. Available: https://journal.saim.ir/article_696673.html. [In Persian]
[20] ameneh khadivar and S. Mehmannavazan, “Segmentation and prediction of customer behavior based on the improved RFM model (LRFMSP),” Mod. Res. Decis. Mak., vol. 8, no. 2, pp. 123–148, 2023, [Online]. Available: https://journal.saim.ir/article_708769.html. [In Persian]
[21] J. Robert Mitchell, D. A. Shepherd, and M. P. Sharfman, “Erratic strategic decisions: when and why managers are inconsistent in strategic decision making,” Strateg. Manag. J., vol. 32, no. 7, pp. 683–704, 2011, doi: https://doi.org/10.1002/smj.905.
[22] I. Konstantinidis, G. Siaminos, C. Timplalexis, P. Zervas, V. Peristeras, and S. Decker, Blockchain for business applications: A systematic literature review, vol. 320. Springer International Publishing, 2018.
[23] H. T. Vo, L. Mehedy, M. Mohania, and E. Abebe, “Blockchain-based data management and analytics for micro-insurance applications,” in Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017, pp. 2539–2542, doi: https://doi.org/10.1145/3132847.3133172.
[24] H. M. Jaladati and E. Chitsaz, “Unraveling the Secrets to Startup Crowdfunding: Cognitive Legitimacy in Initial Coin Offerings (ICOs),” J. Entrep. Res., vol. 2, no. 3, pp. 1–22, 2023, doi: 10.22034/jer.2023.2006614.1047. [In Persian]
[25] A. Moezzi, E. Chitsaz, and H. Sadeghi, “Equity Crowdfunding: Solutions and Structures,” Entrep. Innov. Res., vol. 2, no. 1, pp. 91–109, 2023, doi: https://doi.org/10.22034/eir.2023.173046. [In Persian]
[26] F. Hawlitschek, B. Notheisen, and T. Teubner, “The limits of trust-free systems: A literature review on blockchain technology and trust in the sharing economy,” Electron. Commer. Res. Appl., vol. 29, pp. 50–63, 2018, doi: https://doi.org/10.1016/j.elerap.2018.03.005.
[27] D. B. Audretsch and P. Moog, “Democracy and entrepreneurship,” Entrep. Theory Pract., vol. 46, no. 2, pp. 368–392, 2022, doi: https://doi.org/10.1177/1042258720943307.
[28] K. M. Kuhn, J. Meijerink, and A. Keegan, “Human resource management and the gig economy: Challenges and opportunities at the intersection between organizational HR decision-makers and digital labor platforms,” Res. Pers. Hum. Resour. Manag., vol. 39, pp. 1–46, 2021, doi: https://doi.org/10.1108/S0742-730120210000039001.
[29] S. Tanev, T. Bailetti, C. Keen, and D. Hudson, “The Potential of AI to Enhance the Value Propositions of New Companies Committed to Scale Early and Rapidly,” in Artificial Intelligence and Innovation Management, World Scientific, 2022, pp. 185–213.
[30] W. Liu, X.-F. Shao, C.-H. Wu, and P. Qiao, “A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development,” J. Clean. Prod., vol. 298, p. 126763, 2021, doi: https://doi.org/10.1016/j.jclepro.2021.126763.
[31] M. Koudstaal, R. Sloof, and M. Van Praag, “Risk, uncertainty, and entrepreneurship: Evidence from a lab-in-the-field experiment,” Manage. Sci., vol. 62, no. 10, pp. 2897–2915, 2016.
[32] A. Moezzi, E. Chitsaz, and M. Ahmadi, “The dark side of Web3 entrepreneurship: An exploratory Delphi study on factors and implications,” Q. J. Ind. Technol. Dev., 2024, doi: 10.22034/jtd.2024.710058. [In Persian]
[33] Y. Lu, S. Papagiannidis, and E. Alamanos, “Internet of Things: A systematic review of the business literature from the user and organisational perspectives,” Technol. Forecast. Soc. Change, vol. 136, pp. 285–297, 2018, doi: https://doi.org/10.1016/j.techfore.2018.01.022.
[34] S. Romanosky and E. Petrun Sayers, “Enterprise risk management: Understanding the role of cyber risk,” 2021, doi: https://dx.doi.org/10.2139/ssrn.3903305.
[35] P. Jain, M. Gyanchandani, and N. Khare, “Big data privacy: a technological perspective and review,” J. Big Data, vol. 3, pp. 1–25, 2016, doi: https://doi.org/10.1186/s40537-016-0059-y.
[36] A. Alaassar, A.-L. Mention, and T. H. Aas, “Exploring a new incubation model for FinTechs: Regulatory sandboxes,” Technovation, vol. 103, p. 102237, 2021, doi: https://doi.org/10.1016/j.technovation.2021.102237.
[37] adele deghati, N. M. Yaghoubi, A. R. Kamalian, and M. Dehghani, “Designing an Establishment and Development Model of Good Electronic Governance Using Meta-synthesis Approach,” Manag. Res. Iran, vol. 24, no. 2, pp. 1–34, 2021, [Online]. Available: https://mri.modares.ac.ir/article_522.html. [In Persian]
[38] A. V. Babkin, D. D. Burkaltseva, A. V. Betskov, H. S. Kilyaskhanov, A. S. Tyulin, and I. V. Kurianova, “Automation digitalization blockchain: trends and implementation problems,” Int. J. Eng. Technol., vol. 7, no. 3.14 Special Issue 14, pp. 254–260, 2018, [Online]. Available: https://www.elibrary.ru/item.asp?id=35399097.
[39] A. Park, M. Wilson, K. Robson, D. Demetis, and J. Kietzmann, “Interoperability: Our exciting and terrifying Web3 future,” Bus. Horiz., vol. 66, no. 4, pp. 529–541, 2023, doi: https://doi.org/10.1016/j.bushor.2022.10.005.
[40] A. Henriques, “CSR, sustainability and the triple bottom line,” in The triple bottom line, Routledge, 2013, pp. 26–33.
[41] J. Elkington, “Towards the sustainable corporation: Win-win-win business strategies for sustainable development,” Calif. Manage. Rev., vol. 36, no. 2, pp. 90–100, 1994, doi: https://doi.org/10.2307/41165746.
[42] J. Elkington, “Cannibals with forks: The triple bottom line of 21st century business, Capstone.” Oxford Capestone, London, 1997, doi: https://doi.org/10.1002/tqem.3310080106.
[43] J. Barney, “Firm resources and sustained competitive advantage,” J. Manage., vol. 17, no. 1, pp. 99–120, 1991, doi: https://doi.org/10.1177/014920639101700108.
[44] I. Ajzen, “The theory of planned behavior,” Organ. Behav. Hum. Decis. Process., vol. 50, no. 2, pp. 179–211, 1991, doi: https://doi.org/10.1016/0749-5978(91)90020-T.
[45] C.-C. Hsu and B. A. Sandford, “The Delphi technique: making sense of consensus,” Pract. assessment, Res. Eval., vol. 12, no. 1, p. 10, 2007, [Online]. Available: https://doi.org/10.7275/pdz9-th90.
[46] N. Dalkey and O. Helmer, “An experimental application of the Delphi method to the use of experts,” Manage. Sci., vol. 9, no. 3, pp. 458–467, 1963, [Online]. Available: https://doi.org/10.1287/mnsc.9.3.458.
[47] Y. Chen and C. Bellavitis, “Journal of Business Venturing Insights Blockchain disruption and decentralized fi nance : The rise of decentralized business models,” J. Bus. Ventur. Insights, vol. 13, no. October 2019, p. e00151, 2020, doi: 10.1016/j.jbvi.2019.e00151.
[48] H. Chesbrough and M. Van Alstyne, “Permissionless Innovation,” Commun. ACM, vol. 58, no. 8, pp. 24–26, Jul. 2015, doi: 10.1145/2790832.
[49] V. Cerf, “Remarks at the digital broadband migration: The dynamics of disruptive innovation: Internet speculations,” J. Telecomm. High Tech. L., vol. 10, p. 21, 2012, [Online]. Available: https://heinonline.org/HOL/P?h=hein.journals/jtelhtel10&i=25.
[50] J. Rietveld, M. A. Schilling, and C. Bellavitis, “Platform Strategy: Managing Ecosystem Value Through Selective Promotion of Complements,” Organ. Sci., vol. 30, no. 6, pp. 1232–1251, Sep. 2019, doi: 10.1287/orsc.2019.1290.
[51] C. Dixon, “Why {Decentralization} {Matters}.” Oct. 2018.
[52] E. Brynjolfsson and A. McAfee, The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company, 2014.
[53] P. P. Momtaz, “Some Very Simple Economics of Web3 and the Metaverse,” FinTech, vol. 1, no. 3. pp. 225–234, 2022, doi: 10.3390/fintech1030018.
[54] D. W. E. Allen, C. Berg, A. M. Lane, and J. Potts, “The economics of crypto-democracy,” Available SSRN, vol. 2973050, 2017, [Online]. Available: https://www.researchgate.net/profile/Marta-Poblet/publication/319178874_Linked_Democracy_Artificial_Intelligence_for_Democratic_Innovation_Proceedings_IJCAI_2017_Workshop/links/5998245045851564432a46e2/Linked-Democracy-Artificial-Intelligence-for-Democrat.
[55] P. Racsko, “Blockchain and democracy,” Soc. Econ., vol. 41, no. 3, pp. 353–369, 2019, doi: https://doi.org/10.1556/204.2019.007.
[56] S. Blakstad and R. Allen, “FinTech revolution,” Cham, Switz. Springer, vol. 121, p. 132, 2018, doi: https://doi.org/10.1007/978-3-319-76014-8.
[57] G. Leeming, J. Cunningham, and J. Ainsworth, “A ledger of me: personalizing healthcare using blockchain technology,” Front. Med., vol. 6, p. 171, 2019, doi: https://doi.org/10.3389/fmed.2019.00171.
[58] H. Treiblmaier and R. Beck, Business Transformation through Blockchain, vol. 1. Cham: Springer International Publishing, 2019.
[59] D. K. C. Lee and L. Low, “Overview,” in Inclusive FinTech, WORLD S
)