نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد، مدیریت دولتی، گروه مدیریت، دانشکده علوم اداری و اقتصاد، دانشگاه ولی عصر(عج) رفسنجان، رفسنجان، ایران

2 استایار، گروه مدیریت، دانشکده علوم اداری و اقتصاد، دانشگاه ولی عصر (عج) رفسنجان، رفسنجان، ایران.

3 دانشیار، گروه مدیریت، دانشکده علوم اداری و اقتصاد، دانشگاه ولی عصر (عج)رفسنجان، رفسنجان، ایران.

چکیده

مقدمه: نوآوری سبز (Green Innovation) باعث کسب مزیت رقابتی پایدار برای بیمارستان‌ها می‌شود و در مدل‌های کسب و کار جدید مورد توجه دانشگاهیان و مدیران قرار گرفته است. هدف این پژوهش شناسایی و سطح‌بندی موانع نوآوری سبز در بیمارستان‌ها است.

روش: مطالعه حاضر از نوع توصیفی- تحلیلی است که با مشارکت 18 نفر از خبرگان بیمارستان‌های شهر رفسنجان در سال 1400 انجام شد. خبرگان به صورت هدفمند با روش گلوله برفی انتخاب شدند. جهت جمع آوری داده‌ها از پرسشنامه ساختار یافته استفاده شد. برای تحلیل داده‌ها از روش دلفی فازی و مدلسازی ساختاری تفسیری و نرم افزار Excel استفاده شد.

یافته‌ها: نتایج نشان داد که 11 مانع در نوآوری سبز بیمارستان‌ها شامل موانع مدیریتی، مشتریان، قوانین و مقررات، سازمانی، سرمایه انسانی سبز، اطلاعاتی، مالی، شرکای زنجیره تامین، رقبا، فناوری و تحقیق و توسعه ضعیف وجود دارد که از این بین موانع قوانین و مقررات، رقبا و مشتریان تاثیرگذارترین موانع در حرکت به سمت نوآوری سبز هستند.

نتیجه‌گیری: با توجه به نتایج، موانع سازمانی، شرکای زنجیره تامین، قوانین و مقررات، مشتریان و رقبا جزء موانع مستقل هستند که بر سایر موانع تاثیر دارند و باید در اولویت جهت برطرف‌شدن قرار گیرند. مدیران می‌توانند با رفع موانع شناسایی شده در این پژوهش به ترتیب اولویت، به بهبود وضعیت نوآوری سبز بیمارستان‌ها در جهت کاهش مخاطرات زیست‌محیطی و افزایش پایداری کمک کنند.

پیام کلیدی: نتایج این پژوهش کاربردهای مهمی برای بیمارستان‌هایی دارد که برنامه‌هایی برای ترویج نوآوری‌ها، خدمات و فرایندهای سبز دارند.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Identification and leveling of green innovation barriers in hospitals using fuzzy Delphi and interpretive structural modeling

نویسندگان [English]

  • mahdiyeh mozafari 1
  • Reza Soleymani-Damaneh 2
  • salim karimi takalo 3

1 Msc student, Management Department, Faculty of Administrative Sciences and Economics, Vali-e- Asr University of Rafsanjan, Rafsanjan, Iran

2 Assistant Professor, Faculty of Administrative Sciences and Economics, Vali-e-Asr University of Rafsanjan

3 Associate Professor, Management Department, Faculty of Administrative Sciences and Economics, Vali-e- Asr University of Rafsanjan, Rafsanjan, Iran

چکیده [English]

Introduction: Green innovation provides a sustainable competitive advantage for hospitals and has been the focus of academics and managers in new business models. The purpose of this research is to identify and level the obstacles of green innovation in hospitals.

Method: The present study is a descriptive-analytical type that was conducted with the participation of 18 experts from Rafsanjan hospitals in 1400. Experts were selected purposefully by snowball method. A structured questionnaire was used to collect data. Fuzzy Delphi method and interpretive structural modeling and Excel software were used for data analysis.

Findings: The results showed that there are 11 obstacles in the green innovation of hospitals, including managerial obstacles, customers, laws and regulations, organizational, green human capital, information, finance, supply chain partners, competitors, technology and weak research and development. Of these obstacles, laws and regulations, competitors and customers are the most effective obstacles in moving towards green innovation.

Conclusion: According to the results, organizational barriers, supply chain partners, laws and regulations, customers and competitors are independent barriers that affect other barriers and should be prioritized to be resolved. By removing the obstacles identified in this research in order of priority, managers can help to improve the state of green innovation in hospitals in order to reduce environmental risks and increase sustainability.

کلیدواژه‌ها [English]

  • Keywords: green innovation
  • barriers of innovation
  • green hospital
  • fuzzy Delphi
  • interpretive structural modeling
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