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مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Issue Info: 
  • Year: 

    2025
  • Volume: 

    4
Measures: 
  • Views: 

    10
  • Downloads: 

    28
Abstract: 

Generative Artificial Intelligence (GenAI) is reshaping business model innovation (BMI) by enabling new forms of value creation, automation, and creativity. However, integrating GenAI into product-led organizations introduces significant tensions as technology-driven dynamics conflict with established human-centric innovation logics. To address this gap, the present research proposes a tension-centric conceptual model grounded in the Unified Foundational Ontology (UFO). Developed through a dual-method approach, combining a systematic literature review with ontology-driven conceptual modeling, the model captures, classifies, and structures organizational tensions triggered by GenAI adoption. It identifies three primary tension types: strategic contradictions, operational dilemmas, and cultural frictions. The model also introduces managerial mechanisms such as reflexive ambidexterity, dialogical leadership, and participatory governance as pathways to navigate these tensions. By formally integrating GenAI capabilities, organizational logics, and leadership responses, the model contributes to organizational paradox theory and advances understanding of socio-technical challenges in GenAI-driven BMI. While offering both theoretical and practical insights, the model acknowledges limitations in capturing the dynamic evolution of tensions. Future research is encouraged to empirically validate and extend the model by exploring how tensions escalate over time and identifying new governance and leadership configurations in product-led contexts.

Yearly Impact:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 10

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic ResourcesDownload 28
Issue Info: 
  • Year: 

    1404
  • Volume: 

    4
Measures: 
  • Views: 

    40
  • Downloads: 

    0
Abstract: 

این تحقیق با هدف بررسی نقش پیاده سازی تحول دیجیتال در تجارت الکترونیک با تاکید بر کاربردهای هوش مصنوعی انجام شد. با استفاده از روش مرور سیستماتیک منابع، مقالات معتبر از پایگاه های داده مانند Scopus و Science Direct (از 2020 به بعد) تحلیل شدند. یافته ها نشان داد که هوش مصنوعی با بهبود تجربه کاربری (از طریق سیستم های توصیه گر شخصی شده)، بهینه سازی فرآیندهای تجاری (مانند مدیریت موجودی و زنجیره تأمین)، و افزایش دقت تصمیم گیری (با الگوریتم های یادگیری عمیق) تحولی اساسی در تجارت الکترونیک ایجاد کرده است. همچنین، فناوری هایی مانند پردازش زبان طبیعی (NLP) و بینایی رایانه ای، تعامل مشتریان را ارتقا داده اند. با این حال، چالش هایی مانند نیاز به هماهنگی بین داده ها، الگوریتم ها و نیروی انسانی، و ملاحظات اخلاقی در استفاده از AI نیز شناسایی شد. نتایج بر ضرورت ادغام هوش مصنوعی با استراتژی های کسب وکار برای دستیابی به مزیت رقابتی تأکید کرد.

Yearly Impact:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 40

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic ResourcesDownload 0
Issue Info: 
  • Year: 

    2025
  • Volume: 

    4
Measures: 
  • Views: 

    17
  • Downloads: 

    37
Abstract: 

Small and medium-sized enterprises (SMEs) often face acute barriers in accessing capital, including limited collateral, regulatory burden, and exclusion from traditional financial ecosystems. This study systematically examines the potential of blockchain-enabled fundraising mechanisms such as token-based financing, decentralized crowdfunding platforms, and trust-enhancing supply chain solutions to address these constraints. Employing a systematic literature review (SLR) complemented by thematic meta-synthesis, the paper analyzes 11 peer-reviewed studies across three integrated thematic streams: (1) token-based fundraising architectures, (2) blockchain-enabled transparency and trust for SME finance, and (3) smart contract-driven crowdfunding infrastructures. Findings reveal a fragmented but evolving research landscape, with strong conceptual innovation but limited empirical validation, especially within SME-specific contexts. The review surfaces key adoption challenges related to regulatory interoperability, digital capability gaps, and scalability limitations in resource-constrained environments. By framing SMEs as active design constraints rather than passive adopters, the study advances a socio-technical alignment perspective that integrates institutional theory, design science, and FinTech systems thinking. The article concludes with theoretical contributions, managerial and policy implications, and a future research agenda aimed at co-developing inclusive, scalable, and legally robust blockchain fundraising solutions for SMEs.

Yearly Impact:   مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 17

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic ResourcesDownload 37
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