فصلنامه علمی کارافن

فصلنامه علمی کارافن

شناسایی پیشران‌های مؤثر سیستم‌های هوشمند در زمینه فرایند کسب‌وکار

نوع مقاله : مقاله پژوهشی (کاربردی)

نویسندگان
1 عضو هیات علمی، گروه فناوری اطلاعات و ارتباطات، دانشگاه فنی حرفه‌ای، تهران، ایران.
2 دانشجوی کارشناسی مهندسی نرم‌افزار، گروه مهندسی کامپیوتر، دانشگاه فنی حرفه‌ای، تهران، ایران.
چکیده
امروزه توسعه و به‌کارگیری سیستم­های اطلاعاتی برای هر سازمانی، امری ضروری است. هوشمندی کسب‌وکار مجموعه­ای از ابزارها و فرایندها و فناوری­ها است که در تبدیل داده‌های خام به اطلاعات و استخراج دانش از این اطلاعات به­منظور تسهیل و بهینه‌سازی فرایند تصمیم­گیری دخالت دارد. هدف از این پژوهش، شناسایی پیشران­های مؤثر سیستم‌های هوشمند در فرایند کسب‌وکار است که با رویکردی از نظر هدف، کاربردی و از نظر روش­شناسی پژوهش، توصیفی- تحلیلی مبتنی بر مطالعات کتابخانه‌ای و میدانی انجام پذیرفته است. برای شناسایی شاخص­های مفهومی تبیین‌کننده پیشران­های اصلی سیستم‌های هوشمند و فرایند کسب‌وکار، از روش اسنادی و دلفی هدفمند استفاده شده است. جامعه نمونه استادان دانشگاه، کارشناسان، مدیران و فعالان در حوزه کسب‌وکار هوشمند مرتبط با موضوع پژوهش (35 نفر) هستند. پژوهش حاضر با استفاده از تکنیک تحلیل تأثیرات متقاطع که یکی از روش­های متداول و مورد پذیرش آینده­نگاری است و با استفاده از نرم‌افزار Micmac به تحلیل مؤلفه‌های سیستم­های هوشمند و فرایند کسب‌وکار پرداخته است. برای تجزیه‌وتحلیل داده‌ها از آزمون تحلیل مسیر با استفاده از مدل معادلات ساختاری Smart PLS استفاده شد. یافته‌های حاصل از نتایج اولویت‌بندی ابعاد مؤثر در سیستم­های هوشمند کسب‌وکار نشان داد که بعد برآورده‌ساختن نیازهای سازمان (۷۳۲/۰) در رتبه اول اهمیت، بعد توانایی تجزیه‌وتحلیل (۴۶۱/۰) در رتبه دوم، بعد خدمات و توانایی یکپارچگی (۳۲۵/۰) بعد عملیاتی (۱۹۹/۰) و بعد برآورده‌ساختن نیاز کاربران (۰۶۴/۰) در رده­های بعدی اهمیت قرار دارند. در نهایت با توجه به نتایج مرتبط با تحلیل تأثیرات متقاطع در شناسایی پیشران­های مؤثر بر سیستم­های هوشمند مدیریت کسب‌وکار، شش عامل کلیدی (سرعت پاسخگویی سیستم، مدیریت ارتباط مشتری، مکانیزه‌کردن فرایندهای سازمان، تحلیل جامع، مدیریت زنجیره تأمین، امنیت سیستم) شناسایی شد. آنچه از این تحقیق بر می­آید، به ارائه چارچوبی برای ارزیابی عملکرد سیستم هوشمند کسب‌وکار و وضعیت مطلوب عملکرد این سیستم در شرکت موردمطالعه انجامید.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Identification of Effective Drivers of Intelligent Systems in the Business Process

نویسندگان English

Majid Jannesari Ladani 1
Maryam Fazeli 2
Nagin Ahmadi 2
1 Faculty Member, Department of Information and Communication Technology, Technical and Vocational University (TVU), Tehran, Iran.
2 Bachelor of Software Engineering, Department of Computer Engineering, Technical and Vocational University, Tehran, Iran.
چکیده English

Today, the development and use of information systems is essential for any organization. Business intelligence is a set of tools, processes, and technologies that transform raw data into information and extract knowledge from this information to facilitate and optimize the decision-making process. The purpose of this research was to evaluate the identification of effective drivers of intelligent systems in the field of business process modeling in a media content production company as a real case study; it was carried out with a descriptive-analytical approach in terms of practical purpose and based on library and field studies. To identify the conceptual indicators that explain the main drivers of intelligent systems and business processes, a purposeful documentary and the Delphi method were used. The sample population consisted of employees of the intelligent business system user and experts related to the research topic (30 people). The current research analyzed the components of intelligent systems and business processes by using the cross-effects analysis technique, which is a common and accepted method of forecasting using Micmac software. To achieve the objectives of the research, five components (operating dimension of the intelligent system, meeting the needs of users, meeting the needs of the organization, services, integration ability, and analysis ability) and 18 items regarding intelligent business systems using theoretical foundations were extracted. To analyze the data, the path analysis test using the Smart PLS structural equation model was used. The findings from the prioritization results showed the effective dimensions in intelligent business systems: meeting the needs of the organization (0.732) ranked first in importance, analysis ability (0.461) ranked second, followed by services and integration ability (0.325), operational dimension (0.199) and fulfillment Building users' needs (0.064). Finally, according to the results related to the analysis of cross-effects in identifying the drivers effective in intelligent business management systems, six key factors (system response speed, customer relationship management, mechanization of organization processes, comprehensive analysis, supply chain management, and system security) were identified. The results of this research led to the presentation of a framework for evaluating the performance of the intelligent business system and the optimal performance of this system in the studied company.

کلیدواژه‌ها English

Intelligent Systems
Business Processes
Future Research
Modeling
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دوره 21، شماره 1 - شماره پیاپی 66
فنی و مهندسی
بهار 1403
صفحه 13-38

  • تاریخ دریافت 05 خرداد 1402
  • تاریخ بازنگری 08 آبان 1402
  • تاریخ پذیرش 28 آذر 1402