Strategic studies in the oil and energy industry

fa نگاشت ‌شناختی پیامدهای منابع انسانی الگوریتمی در صنعت نفت Cognitive Mapping of Algorithmic Human Resources Implications in the Oil Industry مديريت Management پژوهشي Research هدف پژوهش حاضر نگاشت&rlm;شناختی پیامدهای منابع انسانی الگوریتمی در صنعت نفت است. این پژوهش از نظر هدف کاربردی است و از حیث روش گردآوری اطلاعات توصیفی و از نوع پیمایشی است و از لحاظ نوع&rlm;شناسی در زمره&rlm;ی پژوهش&rlm;های آمیخته است. جامعه آماری پژوهش، شامل اساتید دانشگاه در حوزه&rlm;ی مدیریت و مدیران منابع انسانی در صنعت نفت است که 23 نفر از آن&rlm;ها با استفاده از روش نمونه&rlm;گیری هدفمند و براساس اصل کفایت نظری انتخاب شدند. در بخش کیفی ابزار گردآوری داده‌ها، مصاحبه نیمه&rlm;ساختاریافته است که روایی و پایایی ابزارها به ترتیب با استفاده از روایی محتوایی و روش پایایی&rlm;سنجی درون کدگذار و میان&rlm;گذار موردتأیید قرار گرفت. ابزار گردآوری داده‌ها در بخش کمی، پرسشنامه است که با استفاده از روایی محتوایی و پایایی بازآزمون تأیید شد. در بخش کیفی این پژوهش، داده&rlm;های به&rlm;دست آمده از مصاحبه با استفاده از 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This research is practical in terms of its purpose, and in terms of the method of collecting descriptive information, it is of the survey type, and in terms of typology, it is among mixed research. The statistical population of the research includes university professors in the field of management and human resource managers in the oil industry, 23 of whom were selected using the purposeful sampling method and based on the principle of theoretical adequacy. In the qualitative part of the data collection tool, there is a semi-structured interview, the validity and reliability of the tools were confirmed using content validity and intra-coder and interrater reliability methods, respectively. The tool for collecting data in the quantitative part is a questionnaire, which was confirmed using content validity and retest reliability. In the qualitative part of this research, the data obtained from the interview were identified using the Max-QDA-E software and the analysis coding method and the consequences of algorithmic human resources. In the quantitative part of the research, the prioritization of factors and their causal relationships were determined using the fuzzy cognitive map method. The results show that accurate performance evaluation, productivity improvement, and better time management are the most important positive consequences of algorithmic human resources, respectively. Reducing the sense of independence of employees, reducing interaction and participation of employees, as well as reducing creativity are among the most important negative consequences of algorithmic human resources based on research findings منابع انسانی الگوریتمی, نگاشت‌شناختی فازی, صنعت نفت algorithmic human resources, fuzzy cognitive mapping, oil industry. 1 22 http://iieshrm.ir/browse.php?a_code=A-10-1018-157&slc_lang=fa&sid=1 Abdollah saedi عبداله ساعدی Seadi.a@lu.ac.ir 100319475328460013246 100319475328460013246 Yes Assistant Professor, Department of Management, Faculty of Management and Economics, Lorestan University, Khorramabad, Iran استادیار گروه مدیریت، دانشکده مدیریت و اقتصاد، دانشگاه لرستان، خرم‌آباد، ایران Ali Shariat nejad علی شریعت‌ نژاد shariat.al@lu.ac.ir 100319475328460013247 100319475328460013247 No Assistant Professor, Department of Management, Faculty of Management and Economics, Lorestan University, Khorramabad, Iran استادیار گروه مدیریت، دانشکده مدیریت و اقتصاد، دانشگاه لرستان، خرم‌آباد، ایران Mina Hoseini مینا حسینی minahosseini7615@gmail.com 100319475328460013248 100319475328460013248 No PhD student, Faculty of Management and Economics, Lorestan University, Khorramabad, Iran دانشجوی دکتری، دانشکده مدیریت و اقتصاد، دانشگاه لرستان، خرم‌آباد، ایران