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برهانی, سید عباس, نوری, مهدی, صفا, مژگان. (1404). مدل سازی پایش رفتار حرفه‌ای در زنجیره تأمین با استفاده از بلاکچین. پدافند الکترونیکی و سایبری, 27(88), 75-99.
سید عباس برهانی; مهدی نوری; مژگان صفا. "مدل سازی پایش رفتار حرفه‌ای در زنجیره تأمین با استفاده از بلاکچین". پدافند الکترونیکی و سایبری, 27, 88, 1404, 75-99.
برهانی, سید عباس, نوری, مهدی, صفا, مژگان. (1404). 'مدل سازی پایش رفتار حرفه‌ای در زنجیره تأمین با استفاده از بلاکچین', پدافند الکترونیکی و سایبری, 27(88), pp. 75-99.
برهانی, سید عباس, نوری, مهدی, صفا, مژگان. مدل سازی پایش رفتار حرفه‌ای در زنجیره تأمین با استفاده از بلاکچین. پدافند الکترونیکی و سایبری, 1404; 27(88): 75-99.

مدل سازی پایش رفتار حرفه‌ای در زنجیره تأمین با استفاده از بلاکچین

مدیریت زنجیره تأمین
دوره 27، شماره 88، آبان 1404، صفحه 75-99    اصل مقاله (1.12 M)
نوع مقاله: پژوهشی
نویسندگان
سید عباس برهانی* 1؛ مهدی نوری2؛ مژگان صفا3
1استادیار گروه حسابداری واحد قم، دانشگاه آزاد اسلامی، قم، ایران
2دانشجوی دکتری گروه حسابداری واحد قم، دانشگاه آزاد اسلامی، قم، ایران.
3استادیارگروه حسابداری واحد قم، دانشگاه آزاد اسلامی، قم، ایران
تاریخ دریافت: 06 فروردین 1404،  تاریخ بازنگری: 30 اردیبهشت 1404،  تاریخ پذیرش: 07 مهر 1404 
چکیده
امروزه با توجه به نقش زنجیره تامین در فرآیند کسب و کار، پایش رفتار حرفه­ای در زنجیره تامین اهمیت زیادی پیدا کرده است. هدف از مطالعه حاضر، مدل­سازی پایش رفتار حرفه‌ای در زنجیره تأمین با استفاده از بلاکچین می­باشد. روش تحقیق در این مطالعه، آمیخته (کیفی و کمّی) و از نوع بنیادی و اکتشافی بود. جامعه آماری در بخش کیفی، شامل اساتید و خبرگان حوزه زنجیره تامین در شهر تهران بودند که با توجه به اشباع نظری، 20 نفر به عنوان نمونه انتخاب شدند. جامعه آماری در بخش کمّی، شامل مدیران، معاونان و کارکنان ارشد حوزه زنجیره تامین در شرکت­های خصوصی و دولتی شهر تهران بودند که توسط روش غیراحتمالی و در دسترس، 100 نفر به عنوان نمونه آماری انتخاب شدند. در بخش کیفی از ابزار مصاحبه­ی نیمه­ساختار­یافته استفاده شد و تجزیه و تحلیل    داده­های کیفی به روش داده­بنیاد انجام گردید. دسته­بندی داده­های کیفی در 6 شبکه داده بنیاد شامل پدیده محوری (مقوله اصلی یا هسته)، شرایط علّی، شرایط زمینه­ای، شرایط مداخله­گر، راهبردها و پیامدها انجام گردید. در بخش کمّی پرسشنامه­ای از نتایج بخش کیفی طراحی شده و توسط مدلسازی معادلات ساختاری با رویکرد حداقل مربعات جزئی (PLS) و نرم­افزار Smart PLS تحلیل داده­ها انجام شد. بر اساس یافته­های کیفی، اجزای مدل پایش رفتار حرفه‌ای در زنجیره تأمین با استفاده از بلاکچین شامل 11 مولفه اصلی، 24 مولفه فرعی و 86 شاخص بود. بدین ترتیب که پدیده محوری شامل 1 مولفه اصلی نظارت بر اجرای آیین رفتار حرفه­ای در زنجیره تامین توسط سامانه هوشمند مبتنی بر بلاکچین، شرایط علّی شامل 2 مولفه اصلی عوامل سازمانی و عوامل رفتاری، شرایط زمینه­ای شامل 2 مولفه اصلی زیرساخت فناوری و توجه به ارزش­های اخلاقی، شرایط مداخله­گر شامل 2 مولفه اصلی عوامل داخلی و عوامل خارجی، راهبردها شامل 2 مولفه اصلی تجهیز منابع انسانی و برنامه­ریزی و نظارت و پیامدها شامل 2 مولفه اصلی پیامدهای خرد و پیامدهای کلان بودند. همچنین بر اساس یافته­های کمّی، شرایط علّی با ضریب مسیر 316/0 بر پدیده محوری؛ پدیده محوری و شرایط زمینه­ای به ترتیب با ضرایب مسیر 381/0 و 507/0 بر راهبردها؛ و راهبردها با ضریب مسیر 517/0 بر پیامدها تاثیر مثبت و معنی­دار دارند. نتایج حاکی از آن است که با استفاده از فناوری­های مدرن مانند بلاکچین می­توان پایش رفتار حرفه­ای در زنجیره تامین را به­صورت مطلوب­تری به انجام رساند.
کلیدواژه‌ها
بلاکچین؛ پایش رفتار حرفه‌ای؛ سامانه توزیع‌شده؛ زنجیره تأمین دیجیتال
عنوان مقاله [English]
Modeling Behavioral Governance in the Supply Chain using Blockchain
نویسندگان [English]
seyed abbas borhani1؛ Mehdi Nouri2؛ Mojgan safa3
1Assistant Professor, Department of Accounting, Qom Branch, Islamic Azad University, Qom, Iran.
2Ph.D. Student, Department of Accounting, Qom Branch, Islamic Azad University, Qom, Iran.
3Assistant Professor, Department of Accounting, Qom Branch, Islamic Azad University, Qom, Iran.
چکیده [English]
Nowadays, considering the role of supply chain in business process, monitoring professional behavior in supply chain has become very important. The purpose of the present study is to model monitoring professional behavior in supply chain using blockchain. The research method in this study was mixed (qualitative and quantitative) and fundamental and exploratory. The statistical population in the qualitative section included professors and experts in the field of supply chain in Tehran, and considering theoretical saturation, 20 people were selected as a sample. The statistical population in the quantitative section included managers, vice presidents and senior employees in the field of supply chain in private and public companies in Tehran, and 100  people were selected as a statistical sample by non-probability and convenience method. In the qualitative section, semi-structured interview tool was used and qualitative data analysis was performed using grounded theory method. Qualitative data were categorized into 6 grounded theory networks including the central phenomenon (main or core category), causal conditions, background conditions, intervening conditions, strategies, and consequences. In the quantitative part, a questionnaire was designed from the results of the qualitative part and data analysis was performed using structural equation modeling with the partial least squares (PLS) approach and Smart PLS software. Based on the qualitative findings, the components of the model for monitoring professional behavior in the supply chain using blockchain included 11 main components, 24 subcomponents, and 86 indicators. Thus, the central phenomenon included 1 main component of monitoring the implementation of the code of professional conduct in the supply chain by an intelligent system based on blockchain, causal conditions included 2 main components of organizational factors and behavioral factors, background conditions included 2 main components of technological infrastructure and attention to ethical values, intervening conditions included 2 main components of internal factors and external factors, strategies included 2 main components of human resource mobilization and planning and monitoring, and consequences included 2 main components of micro-consequences and macro-consequences. Also, based on quantitative findings, causal conditions with a path coefficient of 0.316 on the pivotal phenomenon; pivotal phenomenon and background conditions had a positive and significant effect on strategies with path coefficients of 0.381 and 0.507, respectively; and strategies had a path coefficient of 0.517 on consequences. The results indicate that by using modern technologies such as blockchain, professional conduct monitoring in the supply chain can be carried out in a more desirable manner.
کلیدواژه‌ها [English]
Blockchain, Behavioral Governance, Distributed System, Digitalized Supply Chain
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