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Sadeghi, Zahir, Jahanyan, Saeed, Shahin, Arash. (1402). Mapping the Interactive Model of Relationships between Blockchain-Related Variables in the Green Supply Chain: DEMATEL-ISM Approach. , 15(2), 244-271. doi: 10.22059/imj.2023.350889.1008001
Zahir Sadeghi; Saeed Jahanyan; Arash Shahin. "Mapping the Interactive Model of Relationships between Blockchain-Related Variables in the Green Supply Chain: DEMATEL-ISM Approach". , 15, 2, 1402, 244-271. doi: 10.22059/imj.2023.350889.1008001
Sadeghi, Zahir, Jahanyan, Saeed, Shahin, Arash. (1402). 'Mapping the Interactive Model of Relationships between Blockchain-Related Variables in the Green Supply Chain: DEMATEL-ISM Approach', , 15(2), pp. 244-271. doi: 10.22059/imj.2023.350889.1008001
Sadeghi, Zahir, Jahanyan, Saeed, Shahin, Arash. Mapping the Interactive Model of Relationships between Blockchain-Related Variables in the Green Supply Chain: DEMATEL-ISM Approach. , 1402; 15(2): 244-271. doi: 10.22059/imj.2023.350889.1008001

Mapping the Interactive Model of Relationships between Blockchain-Related Variables in the Green Supply Chain: DEMATEL-ISM Approach

Industrial Management Journal
دوره 15، شماره 2، 2023، صفحه 244-271    اصل مقاله (879.99 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/imj.2023.350889.1008001
نویسندگان
Zahir Sadeghi1؛ Saeed Jahanyan* 2؛ Arash Shahin3
1Ph.D. Candidate, Department of Industrial Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran.
2Associate Prof., Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran.
3Prof., Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran.
چکیده
Objective: Numerous variables are involved in green supply chain management and investigating any intervening variable can influence a diverse set of others. Blockchain, as an emerging technology of the fourth generation of the industry, comes with a variety of distinctive characteristics. The analysis of the integration between blockchain and green supply chain management will be highly intricate. Therefore, it is essential to establish a model to comprehend it effectively.
Methods: This study was carried out in two phases. In the first phase, the required information was collected, extracted, analyzed, and combined through a systematic review with a focus on the key questions. After identifying the primary existing sources, based on the entry conditions, some items were removed according to the determined conditions. Finally, 18 articles were thoroughly reviewed, and the variables were extracted. In the second phase, the validation, refinement, and examination of the relationship among variables were discussed through questionnaires. The combined method of DEMATEL and Interpretive Structural Modeling (ISM) were used.
Results: Variables from the green supply chain, likely to be influenced by blockchain were extracted, refined, and modeled in 10 levels, ranging from the most influential to the least influential ones. Environment-related variables, along with business viability, are the most influential.
Conclusion: According to the achieved model and the degree of influence and impact of the variables, the main driver for moving towards green practices and utilizing blockchain include "the need to obtain environmental certification (government pressure)," "buying green products (inclination)," and "giving importance to the social responsibility of the green company." The outcome also depends on "business continuity" and environmental variables. An important aspect regarding the relationship between blockchain and the green supply chain is the location of the variables influenced by blockchain in the interpretive structural model. These variables were placed in the middle levels of the model, indicating that before implementing blockchain technology, it is crucial to assess the influencing variables and determine their value. The assessment can determine whether the establishment or non-establishment of blockchain technology is justified. If these variables indicate the need for changes in the intermediate variables of the model, blockchain technology can be used as a tool or enabler in the supply chain to drive the desired changes based on the specified influencing variables. Ultimately, as the intermediate variables in the model change, the dependent or influencing variables in the model can also be affected.
کلیدواژه‌ها
green supply chain؛ blockchain technology؛ ISM؛ DEMATEL
مراجع
حسینی دهشیری، سید جلال‌الدین؛ امیری، مقصود؛ الفت، لعیا و پیشـوایی، میرسـامان (1401). رویکـرد برنامـه‌ریـزی فـازی استوار جدید به‌منظور طراحی شبکه زنجیره تأمین حلقه بسته. مدیریت صنعتی، 14(3)، 421-457.

رستمی‌زاده، کریم؛ درودی، هما و محمدی، علی (1400). ارائه مدلی برای شناسایی عوامل و مؤلفه‌های توسعه پایدار صـنعت آهن و فولاد با به‌کارگیری تکنیک‌های داده‌بنیاد و دیمتل فازی. مدیریت صنعتی، 13(3)، 514-536.

شریفی، سید مهدی؛ اکبر فرهنگی، علی؛ حیدری، علی؛ عقیلی، سید وحید؛ میرزایـی رابـر، فاطمـه (1399). طراحـی مـدل شایسـتگی رهبران صنایع خلاق با استفاده از روش پشتیبان اجماع گسسته و مدل‌سازی ساختاری تفسیری. مدیریت صنعتی، 12(2)، 299- 318.

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موسوی، مهسا؛ جمالی، غلامرضا و قربانپور، احمد (1400). ارائه مدل بهینه‌سازی شبکه زنجیرۀ تأمین سبز ـ تاب‌آور در صنایع سیمان. مـدیریت صـنعتی، 13(2)، 222-245.

مؤمنی، منصور؛ زرشکی، نیما (1400). مدل‌سازی زنجیرۀ تأمین حلقه بسته با به‌کارگیری از سناریوها در مواجهه با عدم قطعیت در کمیت و کیفیت برگشتی‏ها. مدیریت صنعتی، 13(1)، 105-130.

 

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