مدل ساختاری تحلیل مولفه های نوین نیروی کار در صنعت خودرو با ملاحظه اینترنت اشیاء صنعتی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد، دانشکده ی علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران

2 استاد، گروه مدیریت صنعتی، دانشکده ی علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران.

3 استادیار، گروه مدیریت صنعتی، دانشکده ی علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران

10.22080/shrm.2023.4413

چکیده

امروزه با توجه به اهمیت استقرار اینترنت اشیاء در صنعت و پیشرفت روزافزون فناوری‌ها در این حوزه، بهره‌گیری از نیروی کار ماهر برای موفقیت صنایع ضروری می باشد. افزایش پیچیدگی فناوری ها مستلزم تمرکز بر معیارهای لازم برای مهارت ها و مشخصه‌های نیروی کار در حوزه ی اینترنت اشیاء صنعتی می باشد؛ لذا در این پژوهش سعی شده جهت بررسی کارآمدی نیروی کار، در اجرا و پذیرش اینترنت اشیاء صنعتی در صنعت خودرو، به شناسایی و بهره گیری از معیارهای ارزیابی و روابط ساختاری بین آنها پرداخته شود. بدین منظور بعد از مطالعه‌ی ادبیات تحقیق و استخراج معیارها، با استفاده از ارزیابی خبرگان که ده نفر از مدیران و کارکنان در حوزه‌ی صنعت خودرو بوده به وسیله‌ی تکنیک دلفی فازی معیارها بومی سازی شده است. در ادامه به وسیله تکنیک دیمتل تجدید نظر شده، روابط علی و معلولی معیارها مشخص شده، سپس با بکارگیری تکنیک مدل ساختاری تفسیری کل به سطح بندی معیارهای پرداخته شده است. برای تجزیه و تحلیل داده ها از نرم افزار MATLAB استفاده شده است. با توجه به نتایج به دست آمده معیارهای پشتیبانی مدیریت، هماهنگی و یکپارچگی فناوری، مهارت ارتباطی، رهبری، مدیریت ریسک و بحران و تجربه ی کاری مرتبط معیارهای علی می‌باشند و معیارهای سطح عملکرد کارکنان، ارزش و باور و فرهنگ کار، استفاده از تکنولوژی دیجیتال و انعطاف پذیری با تغییر شرایط، معیارهای معلول می باشند؛ بنابراین باید تمرکز لازم به معیارهای اثرگذار از سوی مدیران و صنایع برای پیاده سازی بهتر اینترنت اشیاء صنعتی صورت گیرد تا نتایج موثری به دست آورند.

کلیدواژه‌ها

عنوان مقاله [English]

Structural model in the analysis of new components of the workforce in the automotive industry with IIOT consideration

نویسندگان [English]

  • Maryam Taslimi 1
  • Abdolhamid Ghadikolaei 2
  • Mohammad Valipour Khatir 3
1 Master's degree, Faculty of Economic and Administrative Sciences, Mazandaran University, Babolsar, Iran
2 Professor, Department of Industrial Management, Faculty of Economic and Administrative Sciences, Mazandaran University, Babolsar, Iran.
3 Assistant Professor, Department of Industrial Management, Faculty of Economic and Administrative Sciences, Mazandaran University, Babolsar, Iran
چکیده [English]

Today, due to the importance of establishing the Internet of Things in the industry and the increasing progress of technologies in this field, the use of skilled workforce is necessary for the success of industries. The increasing complexity of technologies requires focusing on the necessary criteria for the skills and attributes of the workforce in the field of industrial Internet of Things.Therefore, in this research, in order to investigate the efficiency of the workforce in the implementation and acceptance of the Internet of Industrial Things in the automotive industry, the evaluation criteria and the structural relationships between them should be identified and used. For this purpose, after studying the research literature and extracting the criteria, the criteria have been localized using expert evaluation and the fuzzy Delphi Method. In following, the cause and effect relationships of the criteria have been identified by means of the Revised DEMATEL Method, then the leveling of the criteria has been done by using the Modified Total Interpretive Structural Model. MATLAB software was used for data analysis.According to the obtained results, the criteria of management support, communication skills, leadership, risk and crisis management and related work experience are causal criteria and the criteria of employee performance level, value and belief and work culture, use of digital technology and flexibility with Change of conditions are effect criteria; Therefore, managers and industries should focus on effective criteria for better implementation of industrial Internet of Things to achieve effective results.

کلیدواژه‌ها [English]

  • Industry‌‌4
  • Workforce in the Industrial Internet of Things
  • Automobile Industry in Iran
  • Revised DEMATEL Method
  • M-TISM

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