ادراک عدالت رویه‌ای در استخدام مبتنی بر هوش مصنوعی: آزمون مدل پذیرش فناوری در بافت ایران

نویسندگان
1 دانشگاه آزاد اسلامی واحد مرند
2 دانشگاه آزاد اسلامی واحد تبریز
چکیده
زمینه و هدف:با گسترش فناوری‌های دیجیتال و به‌کارگیری هوش مصنوعی در فرایندهای منابع انسانی، به‌ویژه استخدام، کارایی فرایندها فزونی یافته است. با این حال، پذیرش این فناوری از جانب متقاضیان به ادراک عدالت رویه‌ای وابسته است. هدف پژوهش حاضر بررسی اثر ادراک متقاضیان از کاربرد هوش مصنوعی در فرایند استخدام بر ادراک عدالت رویه‌ای آن‌ها و نقش میانجی سه سازه مدل پذیرش فناوری است: سودمندی ادراک‌شده، سهولت استفاده ادراک‌شده و اعتماد ادراک‌شده.

روش پژوهش: مطالعه توصیفی-همبستگی و رویکرد کمّی بود. داده‌ها از پرسشنامه‌ای برگرفته از حسین و همکاران (2025) با طیف پنج‌گزینه‌ای لیکرت جمع‌آوری شد. جامعه آماری شامل 290 نفر از کارمندان و مدیران شعب بیمه شهر زنجان بود. پایایی کرونباخ 0.717، پایایی ترکیبی 0.817 و AVE 0.518 تأیید شد. تحلیل داده‌ها با مدل‌سازی معادلات ساختاری در SmartPLS4 انجام گرفت.

یافته‌ها: یافته‌ها نشان داد که ادراک متقاضیان از کاربرد هوش مصنوعی در فرایند استخدام رابطه مثبت و معناداری با ادراک عدالت رویه‌ای دارد. سودمندی ادراک‌شده و اعتماد ادراک‌شده به‌طور معناداری رابطه بین کاربرد هوش مصنوعی و عدالت رویه‌ای را میانجی می‌کنند؛ در حالی که سهولت استفاده ادراک‌شده این نقش را ایفا نمی‌کند.

نتیجه‌گیری: نتایج می‌تواند چارچوبی عملی برای طراحی سیستم‌های استخدامی هوشمند ارائه دهد که عادلانه، شفاف و قابل اعتماد باشند و با اخلاق حرفه‌ای و حریم خصوصی همسو باشند تا پذیرش و رضایت متقاضیان افزایش یابد. افزودن اعتماد ادراک‌شده به مدل پذیرش فناوری و آزمون نقش میانجی سه سازه، شکاف پژوهشی در اقتصادهای نوظهور مانند ایران را پر می‌کند و رهنمودهایی به بهبود تجربه کاربری ارائه می‌دهد.
کلیدواژه‌ها

عنوان مقاله English

Perceived Procedural Justice in AI‑Based Recruitment: Testing the Technology Acceptance Model in the Iranian Context

نویسندگان English

Ghaffar Tari 1
Majid Pabarjay Zanjani 2
Saleh Hossein nejad Azhiri 2
1 Islamic Azad University, Marand Branch
2 Islamic Azad University, Tabriz Branch
چکیده English

experience.userimproveoBackground and Objectives: with the expansion of digital technologies and the use of artificial intelligence in human resource processes, especially recruitment, process efficiency has increased. However, the adoption of this technology by applicants depends on their perception of procedural justice. This study examines the effect of applicants' perception of AI use in the recruitment process on their percieved procedural justice, and the mediating roles of three Technilogy Acceptance Model constructs: percieved usefulness, percieved ease of use, and percieved trust.

Methods: This descriptive-correlational study with a quantitative approach used data collected from a questionaire adapted from Hossein et al. (2025) on a five-point Likert scale. The population consisted of 290 employees and branch manageres of an insurance company in Zanjan city. Cronbach's alpha=0.717, composite reliability=0.817, and AVE=0.518 were confirmed. Data analysis was conducted using Structural Equation Modeling in SmartPLS4.

Results: Findings showed that applicants' percieved use of AI in the recruitment process has a positive and significant relationship with percieved procedural justice. Percieved usefulness and percieved trust significantly mediate the relationship between AI use and procedural justice, while pecieved ease of use does not play this mediating role.

Conclusions: The results can provide a practical framework for designing intelligent recruitment systems that are fair, transparent, and trustworthy, and aligned with professional ethics and privacy to anhance acceptance and satisfaction among applicants. adding percieved trust to the Technology Acceptance Model and testing the mediating role of the three constucts addresses a research gap in emerging economies such as Iran and offers guideliness.

کلیدواژه‌ها English

Digital Recruitment
Perceived Trust
Perceived Usefulness
procedural justice
Technology Acceptance Model (TAM)
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