با همکاری مشترک دانشگاه پیام نور و انجمن مدیریت دولتی ایران و انجمن مدیریت رفتار سازمانی

نوع مقاله : اکتشافی

نویسندگان

1 استادیار، گروه مدیریت بازرگانی، دانشگاه پیام نور، تهران، ایران.

2 دکتری، گروه مدیریت بازرگانی، دانشگاه تهران، تهران، ایران.

3 دکتری، گروه مدیریت بازرگانی، دانشگاه پیام نور، تهران، ایران.

چکیده

این مقاله به بررسی پدیده‌ی "جنون جلسه" در مدیران می‌پردازد که به‌عنوان یکی از چالش‌های مهم در محیط کار و سازمان‌ها شناخته می‌شود. هدف اصلی این تحقیق، شناسایی علل و عوامل مؤثر بر پیدایش این پدیده و ارائه راهکارهایی برای مدیران جهت مقابله با آن است. برای این تحقیق، از روش فراترکیب هوشمند استفاده شده است. جهت این کار، از اسکریپت‌های اختصاصی همراه با توسعه الگوریتم‌های پیشرفته هوش مصنوعی و پردازش زبان طبیعی برای جستجو و استخراج داده‌ها استفاده شده است. این الگوریتم‌ها، به‌ویژه مدل‌های یادگیری ماشینی مانند شبکه‌های عصبی بازگشتی و الگوریتم‌های ژنتیکی، قادر بودند تا مفاهیم کلیدی و روندهای نوظهور در حوزه جنون جلسه را با دقت بالا تحلیل کنند. استفاده از این فناوری‌ها منجر به ایجاد یک پایگاه داده متمرکز شده که داده‌ها را برای تحلیل‌های بعدی منظم و قابل‌دسترس نگه می‌دارد، خطای انسانی را کاهش می‌دهد و امکان تحلیل سریع و دقیق‌تر داده‌ها را فراهم آورده است. علل گوناگون شکل‌گیری این پدیده شامل مشکلات در برنامه‌ریزی و سازمان‌دهی جلسات، نقایص در فرهنگ‌سازمانی و ارتباطات، مسائل روانی و احساسی مدیران و کارکنان و دیگر دلایل بود. در پی این شناسایی، پیامدهای حاصله از جنون جلسه تشریح گردیده است و در نهایت مجموعه‌ای از راهکارهای عملی و کاربردی مانند بهبود مهارت‌های مدیریتی، اصلاح فرهنگ و ساختار سازمانی، ارتقای ارتباطات کارآمد و روش‌های نوین مهندسی فرهنگ، سیمبیوز رهبری، دیپلماسی جلسات، کوانتومی‌سازی تصمیم‌گیری در جلسات و پلورالیزم سازمانی، ارائه شده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

"Meeting Madness" in Managers: Origins, Consequences and Solutions

نویسندگان [English]

  • Ali Ghorbani 1
  • Mohammad Amin Torabi 2
  • Matineh Moghaddam 3

1 Assistant Professor, Department of Business Management, Payame Noor University, Tehran, Iran.

2 Ph.D, Department of Business Management, University of Tehran, Tehran, Iran.

3 Ph.D Department of Business Administration, Payam Noor University, Tehran, Iran.

چکیده [English]

This article examines the phenomenon of "meeting madness" among managers, recognized as a significant challenge in workplace and organizational environments. The primary aim of this research is to identify the causes and contributing factors to the emergence of this phenomenon and to propose solutions for managers to counteract it. For this study, an advanced meta-synthesis method using artificial intelligence algorithms and natural language processing has been employed. Specifically, scripts alongside the development of advanced AI algorithms such as recurrent neural networks and genetic algorithms were utilized to search for and extract data. These algorithms, particularly the machine learning models, were capable of analyzing key concepts and emerging trends in the realm of meeting madness with high precision. Utilizing these technologies has led to the creation of a centralized database that organizes data for subsequent analyses, reduces human error, and enables quicker and more accurate data analysis. Various causes of this phenomenon include issues in meeting planning and organization, defects in organizational culture and communications, psychological and emotional issues of managers and employees, among other reasons. Following this identification, the consequences of meeting madness have been detailed, and ultimately, a set of practical and applicable solutions such as improving managerial skills, reforming culture and organizational structure, enhancing effective communications, and introducing innovative methods like leadership symbiosis, meeting diplomacy, decision-making quantization in meetings, and organizational pluralism have been presented.

کلیدواژه‌ها [English]

  • Meeting Madness
  • Excessive Meetings
  • Intelligent Meta-synthesis Algorithm
  • Meeting Diplomacy
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