شناسایی چالش¬های بکارگیری فناروی صنعت نسل چهارم در زنجیره¬تامین مدور کشاورزی پایدار
محورهای موضوعی : رشد و توسعه‌ی برنامه‌ها و خدمات عمومی
حامد کریمی شیرازی
1
(باشگاه پژوهشگران جوان و نخبگان، واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران)
Younos Vakil Alroaia
2
(Research Center, Faculty of Humanities, Semnan Branch, Islamic Azad University, Semnan, Iran)
کلید واژه: چالش¬ها, فناوری صنعت نسل چهارم, اقتصاد مدور, زنجیره تامین کشاورزی, پایدار. ,
چکیده مقاله :
این مطالعه با هدف شناسایی و تعیین روابط بین چالش¬های بکارگیری فناروی صنعت نسل چهارم در زنجیره¬تامین مدور کشاورزی پایدار به منظور مدیریت و کاهش ضایعات و پسماندهای محصولات کشاورزی از تولید تا مصرف است. بدین منظور، مهم¬ترین چالش¬ها از طریق مرور ادبیات نظری شناسایی و پس از غربالگری به روش دلفی فازی، با روش مدلسازی تفسیری-ساختاری تحلیل شده است. جامعه آماری خبرگان شامل مدیران ارشد شرکت¬های صنعتی مواد غذایی و کشاورزی به تعداد 15 نفر و به صورت نمونه¬گیری غیراحتمالی هدفمند با تکنیک گلوله برفی انتخاب شدند که به پرسش¬نامه مقایسات زوجی پاسخ دادند. 17 چالش در سه دسته اقتصادی، زیست¬محیطی و اجتماعی شناسایی و تایید شدند، که طبق یافته¬های مدلسازی تفسیری-ساختاری، چالش¬های «تهدیدات شغلی کارکنان و انطباق نشدن کارکنان با فناوری¬های هوشمند» (اجتماعی)، «تامین مالی در زیرساخت دیجیتال» (اقتصادی)، و «انتشار و دفع زباله¬های مضر الکترونیکی و مصرف منابع و انرژی فناوری-های هوشمند» (زیست¬محیطی) تاثیرپذیرترین هستند و چالش¬های «کمبود حمایت¬های مالی دولت از کاربرد فناوری¬های هوشمند» (اقتصادی) و «در دسترس نبودن استانداردها و پروتکل¬های جهانی فناوری¬های هوشمند برای حفاظت از محیط¬زیست» (زیست-محیطی)، « بازده مالی نامشخص سرمایه گذاری در فناوری های صنعت نسل چهارم» و «سرمایه گذاری بالا در فناوری های صنعت نسل چهارم برای عملیات پایدار کشاورزی» تاثیرگذارترین و مهم¬ترین می¬باشند که برای رفع این چالش¬ها نیاز به حمایت-های مالی، قانونی و حقوقی از سوی دولت است.
This study aims to identification and determine the relationships between the challenges of using the technology of 4.0 industry in the circular supply chain of sustainable agriculture in order to manage and reduce waste and residues of agricultural products from production to consumption. For this purpose, the most important challenges have been identified through the review of theoretical literature and after screening by the fuzzy Delphi method, they have been analyzed with the interpretive-structural modeling method. The statistical population, 15 experts including senior managers of food and agricultural industrial companies, were selected by targeted non-probability sampling with the snowball technique and answered the questionnaire of paired comparisons. 17 challenges were identified and confirmed in three economic, environmental and social categories, according to the findings of structural-interpretive modeling, the challenges of "job threats of employees and non-adaptation of employees with smart technologies" (social), "financing In digital infrastructure" (economic), and "emission and disposal of harmful electronic waste and consumption of resources and energy of smart technologies" (environmental) are the most influencing. And the challenges of "lack of government financial support for the use of smart technologies" (economic) and "unavailability of global standards and protocols of smart technologies to protect the environment" (environmental), "Uncertain financial returns of investment in fourth generation industry technologies"(environmental), and "High investment in fourth generation industry technologies for sustainable agricultural operations" (environmental) are the most influenced and The most important are that to in order to reduce these challenges, financial, legal and legal support from the government is needed.
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