تبیین نقش میانجی نوآوری در رابطه مدیریت دانش‌ و مزیت رقابتی شرکت‌های کوچک و متوسط با رویکرد شبکه عصبی و مدل‌سازی معادلات ساختاری

نوع مقاله: مدیریت تولید و عملیات (برنامه‌­ریزی تولید، چابکی، پایداری، ناب، سبز، برون­‌سپاری، زنجیره تأمین، زنجیره ارزش، کیفیت، بهره وری، صنعت چهار و ابعاد آن، . . .)

نویسندگان

1 دانشجوی کارشناسی ارشدف مدیریت اجرایی، دانشکده مدیریت و حسابداری، واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران

2 استادیار مدیریت صنعتی، دانشکده مدیریت و حسابداری، واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران

10.22080/jem.2021.17623.3046

چکیده

با وجود اینکه 85 درصد از کل موسسات تجاری در ایران را شرکت­های کوچک و متوسط تشکیل می­دهند، بسیاری از مطالعات حوزه مدیریت دانش بر روی شرکت­های بزرگ متمرکز می­باشند. در این راستا، مطالعه حاضر به بررسی رابطه مدیریت دانش، نوآوری (فناوری و بازاریابی) و مزیت رقابتی در شرکت­های کوچک و متوسط پرداخته است. جامعه آماری پژوهش را شرکت­های کوچک و متوسط شهرک­های صنعتی رشت تشکیل می­دهند که از میان آنها 124 شرکت با استفاده از نمونه­گیری تصادفی انتخاب شدند. در ادامه، داده­های جمع­آوری شده توسط پرسشنامه­های توزیع شده با استفاده از رویکرد مدل­سازی معادلات ساختاری و شبکه عصبی مصنوعی مورد تجزیه و تحلیل قرار گرفتند. یافته­های پژوهش از طریق تجزیه و تحلیل حداقل مربعات جزئی (PLS) نشان می­دهد که مدیریت دانش دارای رابطه مثبت با نوآوری فناوری، نوآوری بازاریابی و مزیت رقابتی است و بواسطه نوآوری فناوری، بیشترین رابطه را با مزیت رقابتی دارد، بنابراین، نوآوری فناوری واسطه قوی میان مدیریت دانش و مزیت رقابتی است. از سوی دیگر، نتایج رویکرد شبکه عصبی (NN) نیز نشان­دهنده آن است که نوآوری فناوری، مهمترین پیش­بینی کننده مزیت رقابتی است که این نتیجه با حداقل مربعات جزئی همسو می­باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Explaining the Mediating Role of Innovation in Relationship Between Knowledge Management and Competitive Advantage of SMEs Using Neural Network and Structural Equation Modeling Approach

نویسندگان [English]

  • Ahmad Ramezanpour Nasirmahalleh 1
  • Mahdi Homayounfar 2
1 MA student in Executive Management, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran
2 Assistant Professor in Industrial Management, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran
چکیده [English]

Although small and medium-size enterprises (SMEs) constitute more than 85 percent of total business enterprises in Iran, most of the knowledge management studies concentrated on large enterprises. In this way, this study investigated the relationship between knowledge management, innovation (technology and marketing), and competitive advantage in SMEs. The statistical population of the study consists of SMEs in Rasht industrial parks which 124 out of them were selected based on the random sampling method. The collected data by a designed questionnaire were analyzed using structural equation modeling (SEM) and artificial neural network techniques. The results of data analysis based on Partial Least Square (PLS) indicate that knowledge management has positive and significant relationships with technological innovation and marketing innovation. In addition, knowledge management has a positive and significant relationship with a competitive advantage and its strongest relationship with competitive advantage mediated by technological innovation, So, technology innovation is a strong mediator between knowledge management and competitive advantage. On the other hand, the results of the neural network approach show that technology development is the most important predictor of a competitive advantage which this finding is consistent with the output of PLS analysis. Some suggestions also are provided for further researches and application in a statistical population.

کلیدواژه‌ها [English]

  • knowledge management
  • Technology innovation
  • Marketing innovation
  • Competitive advantage
  • SMEs
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