IDEAS home Printed from https://ideas.repec.org/a/rom/bemann/v13y2023i1p59-76.html
   My bibliography  Save this article

Designing A Technology Valuation Model In Iranian Startups

Author

Listed:
  • Ali GOLSHANI

    (Islamic Azad University, Tehran, Iran)

  • Hossein ADAB

    (Islamic Azad University, Tehran, Iran)

  • Abolghasem SARABADANI

    (Tarbiat Modares University, Tehran, Iran)

  • Masoud SHAFAGHI

    (International Federation of Inventors' Associations, Geneva, Switzerland)

Abstract

Technology valuation is needed by companies in today's knowledge-based economy. The intangible nature of technology, influence of environmental factors and conditions on it, have made calculating its value complicated. At present, a large part of the country's economic activities in the technological ecosystem is carried out by companies and startups, whose growth and development are possible with the influx of capital. Therefore, the aim of the upcoming research was to identify dimensions and explain the technology valuation model in Iranian startups. The approach of the research is qualitative, and in the research process, the Grounded Theory has been used. The 10 participants including active experts, policymakers, consultants, and CEOs in Iran's startup ecosystem, were selected by using the purposeful sampling method and analyzed by using the content analysis method. Participants identified factors such as lack of technology valuation requirements, bubble of startups claiming technology, innovation as causal factors, technology brokers and conflict of interests as interfering factors in the strategies of the desired phenomenon, development and promotion of technology valuation discourse, transformation of existing knowledge in the field of technology to valuable knowledge, leadership and idea management and localization of technology valuation as solution-oriented strategies, benefits of calculating the real value of technology and valuation process itself regardless of the result were expressed as the consequences of expanding the technology valuation model in Iranian startups. In this way, the dimensions of the desired model were extracted and explained.

Suggested Citation

  • Ali GOLSHANI & Hossein ADAB & Abolghasem SARABADANI & Masoud SHAFAGHI, 2023. "Designing A Technology Valuation Model In Iranian Startups," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 59-76, March.
    • Handle: RePEc:rom:bemann:v:13:y:2023:i:1:p:59-76
    as

    Download full text from publisher

    File URL: https://beman.ase.ro/no131/4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nemlioglu, Ilayda & Mallick, Sushanta K., 2020. "Do innovation-intensive firms mitigate their valuation uncertainty during bad times?," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 913-940.
    2. Chang, Young Bong & Kwon, YoungOk, 2018. "Ambiguities in valuing information technology firms: Do internet searches help?," Journal of Business Research, Elsevier, vol. 92(C), pages 260-269.
    3. Ida Merete Enholm & Emmanouil Papagiannidis & Patrick Mikalef & John Krogstie, 2022. "Artificial Intelligence and Business Value: a Literature Review," Information Systems Frontiers, Springer, vol. 24(5), pages 1709-1734, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roberto Moro-Visconti & Salvador Cruz Rambaud & Joaquín López Pascual, 2023. "Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    2. Carboni, Oliviero A. & Medda, Giuseppe, 2021. "External R&D and product innovation: Is over-outsourcing an issue?," Economic Modelling, Elsevier, vol. 103(C).
    3. Chmielarz Witold & Sołtysik-Piorunkiewicz Anna, 2024. "Changes in IT Project Management Awareness According to Business Process Management Experts’ Opinion: Comparative Study 2017-2023," Economics and Culture, Sciendo, vol. 21(2), pages 44-58.
    4. Abdelhamid Zaidi & Samuel-Soma M. Ajibade & Majd Musa & Festus Victor Bekun, 2023. "New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 287-299, July.
    5. Ballantine, Joan & Boyce, Gordon & Stoner, Greg, 2024. "A critical review of AI in accounting education: Threat and opportunity," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 99(C).
    6. Yao, Nengzhi(Chris) & Bai, Junhong & Yu, Zihao & Guo, Qiaozhe, 2025. "Does AI orientation facilitate operational efficiency? A contingent strategic orientation perspective," Journal of Business Research, Elsevier, vol. 186(C).
    7. Amponsah, Mary & Agbola, Frank W. & Mahmood, Amir, 2021. "The impact of informality on inclusive growth in Sub-Saharan Africa: Does financial inclusion matter?," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1259-1286.
    8. Renáta Myšková & Petr Hájek, 2018. "Sustainability and Corporate Social Responsibility in the Text of Annual Reports—The Case of the IT Services Industry," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    9. Trinugroho, Irwan & Law, Siong Hook & Lee, Weng Chang & Wiwoho, Jamal & Sergi, Bruno S., 2021. "Effect of financial development on innovation: Roles of market institutions," Economic Modelling, Elsevier, vol. 103(C).
    10. Gao, Lei & Han, Jianlei & Pan, Zheyao & Zhang, Huixuan, 2023. "Individualistic CEO and corporate innovation: Evidence from U.S. frontier culture," Research Policy, Elsevier, vol. 52(9).
    11. Ugur, Mehmet & Solomon, Edna & Zeynalov, Ayaz, 2022. "Leverage, competition and financial distress hazard: Implications for capital structure in the presence of agency costs," Economic Modelling, Elsevier, vol. 108(C).
    12. Erika GRABOCKA & Ervisa NDOKA, 2025. "AI-driven innovation within the ICT sector," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 9(1), pages 77-97, January.
    13. Yue-Jun Zhang & Han Zhang & Rangan Gupta, 2023. "A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    14. Li, Lixu & Liu, Yaoqi & Jin, Yong & Cheng, T.C. Edwin & Zhang, Qianjun, 2024. "Generative AI-enabled supply chain management: The critical role of coordination and dynamism," International Journal of Production Economics, Elsevier, vol. 277(C).
    15. Talaei-Khoei, Amir & Yang, Alan T. & Masialeti, Masialeti, 2024. "How does incorporating ChatGPT within a firm reinforce agility-mediated performance? The moderating role of innovation infusion and firms’ ethical identity," Technovation, Elsevier, vol. 132(C).
    16. Zerfaß, Ansgar & Stieglitz, Stefan & Clausen, Sünje & Ziegele, Daniel & Berger, Karen, 2023. "Communications Trend Radar 2023. State revival, scarcity management, unimagination, augmented workflows & parallel worlds," Communication Insights 17, Academic Society for Management & Communication – An initiative of the Günter Thiele Foundation, Leipzig.
    17. Muhammad Waqas Farooq & Faiza Nawaz & Dr. Raja Irfan Sabir, 2024. "To Gain Sustainable Competitive Advantages (SCA) Using Artificial Intelligence (AI) Over Competitors," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 1026-1033.
    18. Yu, Huan & Yao, Li, 2024. "The impact of digital trade regulation on the manufacturing position in the GVC," Economic Modelling, Elsevier, vol. 135(C).
    19. Haochen Guo & Petr Polak, 2023. "Intelligent finance and change management implications," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    20. wael AL-khatib, Ayman, 2023. "Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework," Technology in Society, Elsevier, vol. 75(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rom:bemann:v:13:y:2023:i:1:p:59-76. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zamfir Andreea (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.