طراحی چارچوب طبقه بندی مدلهای کسب و کار برای داده بازارهای سلامت

محمدنژادچاری, فاطمه; بامداد صوفی, جهانیار; رییسی وانانی, ایمان; امیری, مقصود

doi:10.22034/jtd.2024.2011911.1887

طراحی چارچوب طبقه بندی مدلهای کسب و کار برای داده بازارهای سلامت

نوع مقاله : مقاله علمی-پژوهشی

نویسندگان

فاطمه محمدنژادچاری ¹

جهانیار بامداد صوفی ²

ایمان رییسی وانانی ²

مقصود امیری ³

¹ دانشجوی دکتری مدیریت صنعتی ، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی

² عضو هیات علمی دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی

³ عضو هیات علمی دانشکده مدیریت و حسابداری دانشگاه علامه طباطبایی- تهران-ایران

10.22034/jtd.2024.2011911.1887

چکیده

داده‌بازارها، پلاتفرم‌های دیجیتالی هستند که بر روی آنها داده‌ها اعم از خام یا پردازش شده با حضور تأمین‌کنندگان وخریداران تبادل می‌شوند و بازارگاه از صحت و امنیت نقل و انتقال داده‌ها و پرداخت‌ها ضمن حفظ حریم خصوصی افراد پشتیبانی می‌کند. مقاله حاضر با هدف طراحی یک طبقه‌بندی از مدل‌های کسب و کار داده بازارهای حوزه سلامت تدوین شده است. بدین منظور، یک چارچوب هستی‌شناسی به عنوان چارچوب نظری پایه تعریف شد. سپس با بهره‌گیری از یک روش توسعه تاکسونومی که توسط نیکرسون معرفی شده است، چارچوب نهایی مدل طبقه‌بندی داده‌ بازارهای سلامت احصا شد و اعتبار آن با برقراری شروط ختم تاکسونومی تأیید شد. مدل نهایی دارای ۲۲ بُعد و ۸۴ ویژگی است که تحت چهار بلوک سازه‌ای دسته‌بندی شدند. چهار سازه اصلی مدل طبقه بندی عبارتند از خدمات، فناوری، سازمان، و مالی. در چارچوب هر سازه، ابعاد و ویژگی هایی گنجانده شده اند که بر اساس آنها طبقه بندی های متفاوتی از مدل های کسب و کار داده بازارهای سلامت شکل می گیرند. پژوهشگران و کنشگران حوزه سلامت می‌توانند از میان مدل‌های کسب و کار طبقه-بندی شده، مدل کسب و کاری را که مناسب تشخیص می‌دهند به عنوان مدل کسب و کار داده بازار سلامت به کار گیرند. تحلیل‌گران داده و متخصصین برنامه‌نویسی نیز می‌توانند بر اساس مدل انتخابی اقدام به طراحی فناوری‌های نرم پایه‌ای کنند.

کلیدواژه‌ها

داده بازارهای سلامت

طبقه بندی مدل های کسب و کار

تاکسونومی

موضوعات

استراتژی توسعه فناوری

عنوان مقاله English

Designing a business model classification framework for health data marketplaces

نویسندگان English

Fatemeh Mohammadnezhad Chari ¹

Jahanyar bamdadsoofi ²

Iman Raeesi Vanani ²

Maghsood Amiri ³

¹ PhD student in industrial management, management and accounting faculty, Allameh Tabatabai' university

² Member of the Faculty of Management and Accounting, Allameh Tabatabai University

³ Faculty member of management and accounting, Allameh Tabatabai' university

چکیده English

Data marketplaces are the digital platforms on which data providers and buyers exchange data and the marketplace supports the security of transactions and also ensures the execution of payments while the privacy preservation of the users is guaranteed. This study aimed to design a business model classification framework for health data marketplaces. To do so, a relevant business model ontology framework named STOF was selected as a conceptual framework to conduct a taxonomy introduced by Nickerson (2013). Finally, a business model classification framework including 22 dimensions and 84 specifications grouped under 4 construct blocks of S, T, O, and F was generated. The findings of this study can promote the knowledge on health data marketplaces business models on one hand, and on the other hand researchers and practitioners can conduct their researches or businesses using the suggested framework.

کلیدواژه‌ها English

health data marketplace

business model classification

taxonomy

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