ارائه مدل ساختاری تفسیری تجاری‌سازی محصولات استارت‌آپ‌های حوزه فناوری اکوسیستم فناوری و نوآوری پایدار استان لرستان

نوع مقاله : مقاله پژوهشی

نویسندگان

گروه مدیریت بازرگانی، واحد کرمانشاه، دانشگاه آزاد اسلامی، کرمانشاه، ایران.

چکیده

پژوهش حاضر با هدف ارائه مدل ساختاری تفسیری تجاری‌سازی محصولات در استارت‌آپ‌های حوزه فناوری اکوسیستم نوآوری پایدار استان لرستان انجام شد. این پژوهش از نظر هدف، کاربردی ـ توسعه‌ای و از نظر رویکرد، آمیخته اکتشافی به شیوه کیفی ـ کمی است. جامعه آماری شامل کلیه کارشناسان، مدیران و صاحبان استارت‌آپ‌های حوزه فناوری در اکوسیستم نوآوری پایدار لرستان بود. نمونه‌گیری به‌صورت غیراحتمالی هدفمند و از نوع گلوله‌برفی تا رسیدن به اشباع نظری انجام شد و حجم نمونه ۱۵ نفر تعیین گردید. برای گردآوری داده‌ها در بخش کیفی از مصاحبه‌های نیمه‌ساختاریافته و در بخش کمی از پرسشنامه ماتریسی استفاده شد. داده‌های کیفی با روش تحلیل محتوا و داده‌های کمی با مدلسازی ساختاری تفسیری (ISM) تجزیه‌وتحلیل شدند. نتایج بخش کیفی منجر به شناسایی ۱۷ مؤلفه در سه بعد ساختاری، زمینه‌ای و محتوایی گردید. همچنین یافته‌های مدلسازی ساختاری تفسیری نشان داد که متغیرهای تعیین اهداف و معیارهای تجاری‌سازی، برنامه‌ریزی صحیح در مسیر ایده‌سازی تا فروش، تیم استارت‌آپی قوی، زنجیره تأمین مالی قدرتمند، همکاری متقابل بین استارت‌آپ‌های فناوری، شبکه‌های حمایتی و سیاست‌های دولتی در حمایت از استارت‌آپ‌ها به‌عنوان متغیرهای مستقل و اثرگذار بر سایر متغیرها شناسایی شدند. بهبود این متغیرها می‌تواند به کنترل هزینه‌های توسعه محصول و افزایش اعتماد مشتریان به‌عنوان متغیرهای وابسته منجر شود. نتایج پژوهش حاضر می‌تواند به سیاست‌گذاران، مدیران و فعالان حوزه فناوری در طراحی راهبردهای مؤثر برای تجاری‌سازی موفق محصولات استارت‌آپی در اکوسیستم نوآوری پایدار لرستان کمک کند.

کلیدواژه‌ها


عنوان مقاله [English]

Presenting an Interpretive Structural Model of Commercialization of Startup Products in the Field of Technology in the Sustainable Technology and Innovation Ecosystem of Lorestan Province

نویسندگان [English]

  • Rahim Beyranvand
  • Seyyd Reza Hasanii
  • Farshid Namamian
  • Omid Ali Kahrizi
Department of Business Administration, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.
چکیده [English]

The present study was conducted with the aim of providing an interpretive structural model for the commercialization of products in technology-based startups within the sustainable innovation ecosystem of Lorestan Province. In terms of purpose, the research is applied–developmental, and in terms of approach, it follows an exploratory mixed-method design, combining qualitative and quantitative techniques. The statistical population consisted of all experts, managers, and owners of technology startups in Lorestan's sustainable innovation ecosystem. Sampling was carried out using a non-probability purposive method of the snowball type until theoretical saturation was reached, resulting in a sample size of 15 participants. Data collection in the qualitative phase was conducted through semi-structured interviews, while in the quantitative phase a matrix questionnaire was employed. Qualitative data were analyzed using content analysis, and quantitative data were examined through Interpretive Structural Modeling (ISM). The qualitative findings led to the identification of 17 components categorized into structural, contextual, and content dimensions. The ISM results revealed that variables such as defining commercialization goals and criteria, proper planning from ideation to sales, strong startup teams, robust financial supply chains, reciprocal collaboration among technology startups, supportive networks, and governmental policies in support of startups were recognized as independent and influential variables. Improving these factors can contribute to controlling product development costs and enhancing customer trust, which were identified as dependent variables. The findings of this study can assist policymakers, managers, and practitioners in the technology sector in designing effective strategies for the successful commercialization of startup products within Lorestan's sustainable innovation ecosystem.

کلیدواژه‌ها [English]

  • Commercialization
  • Lorestan
  • Startup
  • Sustainable Innovation
  • Technology Ecosystem
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