نوع مقاله : مقاله پژوهشی
نویسندگان
1 شرکت توزیع نیروی برق، تهران ایران.
2 شرکت مادرتخصصی مدیریت تولید، انتقال و توزیع نیروی برق (توانیر)، تهران، ایران.
چکیده
گسترش هوش مصنوعی در سال‌های اخیر در زمینه‌های بسیاری شتاب پیدا کرده است که بیشتر سعی آن در بهبود کارکردهای سازمانی بوده است. با این وجود در چگونگی اینکه سازمان‌ها می‌بایست از هوش مصنوعی برای بهبود بهره‌وری سازمانی استفاده کنند، کمبودهایی وجود دارد. با توجه به کاربرد هوش مصنوعی و شرایط سازمان‌های داخلی، این پژوهش یک مدل تحقیقاتی مفهومی است که تاثیراتی که هوش مصنوعی (AI) میتواند در بهبود بهره‌وری سازمانی داشته باشد، را شناسایی می کند. این پژوهش با هدف بررسی تاثیر هوش مصنوعی در بهبود بهره‌وری سازمانی در سال 1402 صورت گرفت. جامعه آماری پژوهش شامل کلیه کارکنان منتخب شرکت‌های وابسته وزارت نیرو در شهر تهران بود که تعداد کل آن‌ها 330 نفر بود که از بین آنان با استفاده از جدول مورگان و روش نمونه‌گیری تصادفی ساده 175 نفر به عنوان حجم نمونه در نظر گرفته شد. روش جمع آوری داده‌ها بر اساس پرسشنامه‌های استاندارد هوش مصنوعی میکالف و همکاران (2023) و بهره‌وری آچیو (1994) انجام گرفت. پس از توزیع و جمع آوری پرسشنامه‌ها، بررسی اطلاعات و آزمودن فرضیه‌ها با استفاده از روش مدل‌سازی معادلات ساختاری و به کمک نرم افزار Smart PLS 2 در دو بخش مدل اندازه‌گیری و بخش ساختاری انجام پذیرفت. در بخش اول ویژگی‌های فنی پرسشنامه شامل پایایی، روایی همگرا و روایی واگرا مختص PLS بررسی گردید. در بخش دوم، ضرایب معناداری نرم‌افزار برای بررسی فرضیه‌های پژوهش مورد استفاده قرار گرفتند. در نهایت یافته‌های پژوهش تأثیر هوش مصنوعی و کارکردهای آن شامل زیرساخت‌ها، توانایی گسترش کار و مواضع پیشگیرانه را در جامعه مورد مطالعه مورد تأیید قرار داد.
کلیدواژه‌ها
عنوان مقاله [English]
Investigating the Impact of Artificial Intelligence (AI) in Improving Organizational Productivity
نویسندگان [English]
- Amir Navidi 1
- Hamid Reza Gheiysari 2
1 Electricity Distribution Company, Tehran, Iran.
2 The Parent Specialized Company for the Management of Production, Transmission and Distribution of Electric Power (Tavanir), Tehran, Iran.
چکیده [English]
The development of artificial intelligence has gained momentum in recent years in many fields, most of which have been trying to improve organizational functions. However, there are gaps in how organizations should use artificial intelligence to improve organizational productivity. Regarding the application of artificial intelligence and the conditions of internal organizations, this research is a conceptual research model that identifies the effects that artificial intelligence (AI) can have in improving organizational productivity. This research was conducted with the aim of investigating the impact of artificial intelligence in improving organizational productivity in 1402. The statistical population of the research included all the selected employees of the affiliated companies of the Ministry of Energy in Tehran, whose total number was 330, out of which 175 people were considered as the sample size using the Morgan table and simple random sampling method. The method of data collection was based on the standard questionnaires of artificial intelligence of Micallef et al. (2023) and the productivity of Achio (1994). After the distribution and collection of questionnaires, information review and hypothesis testing was done using the structural equation modeling method and with the help of Smart PLS 2 software in two parts of the measurement model and the structural part. In the first part, the technical characteristics of the questionnaire including reliability, convergent validity and divergent validity specific to PLS were investigated. In the second part, the significant coefficients of the software were used to check the research hypotheses. Finally, the findings of the research confirmed the impact of artificial intelligence and its functions, including infrastructure, the ability to expand work and preventive positions in the studied society.
کلیدواژه‌ها [English]
- Artificial Intelligence
- Productivity
- Infrastructure
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