شناسایی و مدل سازی توانمندسازهای مدیریت زنجیره تأمین سبز در صنایع کوچک و متوسط

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار گروه مدیریت صنعتی، دانشکده مدیریت، اقتصاد و حسابداری دانشگاه یزد، یزد، ایران

2 کارشناسی ارشد دانشکده مدیریت، اقتصاد و حسابداری دانشگاه یزد، یزد، ایران

چکیده

در چند دهه گذشته، دغدغه­های محیط زیستی پیرامون عملیات تولیدی صنایع، سازمان­های مختلف را برآن داشته تا از اقدامات سبز در فرآیندهای مختلف زنجیره تأمین استفاده کنند چرا که مدیریت زنجیره تأمین سبز یک فلسفه مهم سازمانی در کاهش خطرات محیطی و یک رویکرد پیشگیرانه جهت افزایش عملکرد زیست­محیطی و دستیابی­به مزایای رقابتی در سازمان­ها تلقی می­شود. هدف اصلی پژوهش شناسایی توانمندسازهای مدیریت زنجیره تأمین سبز و ارائه مدلی در این راستا از دید ملاحظات زیست‌محیطی است. پژوهش پیش­رو کاربردی و از نظر روش، توصیفی- همبستگی است. جهت گردآوری داده‌ها پس از مرور پیشینه پژوهش شاخص­های مؤثر بر مدیریت زنجیره تأمین سبز  شناسایی و با استفاده از  پرسشنامه­ی محقق­ساخته­ حاوی 23 پرسش از مدیران صنایع کوچک و متوسط در استان اصفهان جمع­بندی گردید. بر اساس جدول کرجسی- مورگان، با روش نمونه­گیری تصادفی ساده، از بین 250 نفر کارکنان صنایع کوچک و متوسط در استان اصفهان، 150 نفر نمونه  آماری پژوهش انتخاب شدند. برای تجزیه­وتحلیل داده­ها و اولویت­بندی شاخص­ها، از مدل معادلات ساختاری استفاده شد. شاخص­ها رتبه­بندی و در نهایت مدل پیشنهادی ارائه گردید. نتایج حاصل از یافته­های پژوهش در باب عوامل مؤثر بر توانمندسازهای مدیریت زنجیره تأمین سبز در پنج  شاخص شامل (تجارت الکترونیک، عملیات داخلی، موفقیت لجستیک، مدیریت کیفیت جامع و نوآوری) طبقه­بندی شده­است و نتایج اولویت­بندی عوامل نشانگر این است که عملیات داخلی با (508/0) درصد، بیشترین تأثیر را بر روی مدیریت زنجیره تأمین سبز دارد و نوآوری (317/0)، موفقیت لجستیک (237)، تجارت الکترونیک (228/0) و مدیریت کیفیت جامع (218/0) در اولویت­های بعدی قرار می­گیرند.

کلیدواژه‌ها


عنوان مقاله [English]

Identification and modeling of green supply chain management in small and medium sized industries

نویسندگان [English]

  • Davood Andalib Ardakani 1
  • Saeide Shams 2
1 Associate Professor, Management, Accounting and Economics Faculty, Yazd University, Yazd, Iran
2 M.A Student, Management, Accounting and Economics Faculty, Yazd University, Yazd, Iran
چکیده [English]

In the past few decades, environmental concerns about manufacturing operations have led various organizations to take advantage of green actions in different supply chain processes, as green supply chain management as an important organizational philosophy in reducing environmental risks and a preventive approach. To increase environmental performance and achieve competitive advantage in organizations is considered. The main purpose of the present study is to identify the key indicators of green supply chain enablers and model presentation in this regard and to select the best supplier from the point of view of environmental considerations. This study is applied research and is classified as descriptive-correlational. This section first identifies the factors affecting green supply chain enablers using semi-structured interviews with small and medium business managers in Isfahan. It is also presented in the quantitative part of the index ranking and finally the proposed model. The statistical population of this study is composed of all small and medium sized industries active in Isfahan province. Using simple random sampling (available), a number of companies were identified in Isfahan industrial town and questionnaires were distributed among them and the results were indexed using PLS software. The results of the interview findings on factors affecting green supply chain enablers are categorized into five selective codes of e-commerce factors, internal operations, logistics success, comprehensive quality management and innovation, and the results of factor prioritization indicate that Internal operations (0.508%) had the greatest impact on green supply chain enablers and innovation (0.317), logistics success (237), e-commerce (0.222) and comprehensive quality management (0.221). The next priorities are.

کلیدواژه‌ها [English]

  • Green supply chain management
  • e-commerce
  • internal operations
  • logistics success
  • comprehensive quality management
  • innovation
  • Structural Equation Modeling
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