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الگوی هوشمندی مدیریت منابع انسانی مبتنی بر علم داده و یادگیری ماشینی | ||
مطالعات مدیریت کسب و کار هوشمند | ||
مقاله 10، دوره 10، شماره 40، تیر 1401، صفحه 265-310 اصل مقاله (1.65 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22054/ims.2022.66412.2169 | ||
نویسندگان | ||
ریحانه فروزنده جونقانی ![]() ![]() ![]() ![]() ![]() | ||
1دانشگاه علامه طباطبائی | ||
2عضو هیئت علمی دانشکده مدیریت و حسابداری دانشگاه علامه طباطبائی | ||
3عضو هیئت علمی، دانشگاه علامه طباطبائی، دانشکده مدیریت و حسابداری | ||
چکیده | ||
در سال های اخیر، کاربرد هوش مصنوعی به ویژه یادگیری ماشینی در حوزه مدیریت منابع انسانی رشد قابل توجهی داشته است، و به دلیل جدید بودن این حوزه، برای بسیاری از مدیران و خبرگان حوزه منابع انسانی ناشناخته است. همچنین، در سال های متمادی شاهد تولید داده های زیادی در این حوزه و زمینه های مرتبط با آن هستیم که تحلیل آنها در فعالیت های منابع انسانی با دشواری همراه است. توانمندی های علم داده و یادگیری ماشینی توانسته است با گزارش ها و تحلیل های توصیفی، تشخیصی، پیش بینی کننده و تجویزی کمک های شایانی به این حوزه و فراتر از آن به راهبری سازمان داشته باشد. در این راستا هدف از انجام پژوهش، بررسی اقداماتی است که تاکنون در حوزه هوشمندی مدیریت منابع انسانی انجام شده است و به سه سوال اصلی پاسخ داده می شود. سوال اول شناسایی فعالیت هایی از مدیریت منابع انسانی است که قابل هوشمندسازی می باشند. در سوال دوم، به شناسایی کاربرد انواع الگوریتم های یادگیری ماشینی در در این حوزه پرداخته شده است. در سوال سوم، بر مبنای سطوح بلوغ تحلیل های پیشرفته داده،طبقه بندی "الگوریتم های یادگیری ماشینی در کارکردهای هوشمندی مدیریت منابع انسانی" صورت پذیرفته است. برای پاسخگویی، طیف وسیعی از مقالات از پایگاه ها و مجلات معتبر علمی استخراج و بر اساس روش ترکیبی در هم تنیده(همزمان) مورد بررسی قرار گرفتند.در بخش کمی از الگوریتم های متن کاوی با استفاده از زبان پایتون و در بخش کیفی از تحلیل مضمون با استفاده از نرم افزار MAXQDA2020 استفاده شده است. | ||
کلیدواژهها | ||
هوشمندی مدیریت منابع انسانی؛ علم داده؛ الگوریتم های یادگیری ماشینی؛ تحلیل پیشرفته داده؛ هوش مصنوعی | ||
اصل مقاله | ||
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