نشریه مهندسی عمران امیرکبیر

نشریه مهندسی عمران امیرکبیر

تحلیل و مدلسازی عوامل مؤثر بر پذیرش ربات های کالارسان توسط کاربران شبکه حمل‌ونقل در ایران

نوع مقاله : مقاله پژوهشی

نویسندگان
1 گروه آموزشی راه و ترابری، دانشگاه صنعتی خواجه نصیرالدین توسی، تهران، ایران
2 دانشکده مهندسی عمران، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران.
چکیده
با رشد تجارت الکترونیک و افزایش تقاضا برای تحویل سریع، ربات‌های کالا‌رسان به‌عنوان یکی از نوآوری‌های مهم در حوزه حمل‌ونقل شهری مطرح شده‌اند. این پژوهش با هدف شناسایی عوامل مؤثر بر قصد استفاده از این ربات‌ها در میان خریداران ایرانی انجام شد. بدین منظور، با ترکیب مدل پذیرش فناوری (TAM) و مدل یکپارچه پذیرش و استفاده از فناوری (UTAUT2) و افزودن متغیرهایی همچون ریسک مالی و خطر ادراک‌شده، مدلی مفهومی ارائه گردید. داده‌ها از طریق پرسشنامه آنلاین و با استفاده از 325 پاسخ معتبر گردآوری و با روش مدل‌سازی معادلات ساختاری (PLS-SEM) تحلیل شدند. نتایج نشان داد که انتظار عملکرد (β=0.636)، سودمندی ادراک‌شده (β=0.531) و سهولت استفاده ادراک‌شده (β=0.486) مهم‌ترین عوامل مثبت در شکل‌گیری قصد استفاده از ربات‌های کالا‌رسان هستند، در حالی که ریسک مالی (β=-0.496) و خطر ادراک‌شده (β=-0.245) اثر منفی و معناداری بر پذیرش کاربران دارند. بر این اساس، طراحان فناوری می‌توانند با بهبود قابلیت اطمینان و سهولت کاربری، جذابیت این ربات‌ها را افزایش دهند و سیاست‌گذاران و شرکت‌های لجستیکی نیز با ارائه مدل‌های قیمت‌گذاری منصفانه و تضمین ایمنی می‌توانند موانع اصلی پذیرش را برطرف کنند. این نتایج چارچوبی عملی برای برنامه‌ریزی توسعه و پیاده‌سازی ربات‌های تحویل کالا در ایران فراهم می‌آورد.

کلمات کلیدی:

ربات های کالارسان ، ریسک مالی، انتظار عملکرد، سودمندی درک شده، سهولت درک شده.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Analysis and Modeling of Factors Affecting the Acceptance of Delivery Robots among Transportation Network Users in Iran

نویسندگان English

Ali Edrisi 1
Sahar Mojaveri 2
Hajar Hedayat 2
1 Depaerment of transportation, KNTU university of technology, Tehran, Iran
2 Depaerment of transportation, KNTU university of technology, Tehran, Iran
چکیده English

Delivery robots have emerged as one of the most promising innovations in urban transportation logistics, offering an efficient and sustainable solution to last-mile delivery challenges. This study aims to analyze and model the factors influencing Iranian consumers’ behavioral intention to adopt autonomous delivery robots (ADRs). To achieve this, a comprehensive conceptual framework was developed by integrating the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2), complemented by additional constructs including financial risk, perceived risk, and user knowledge. Data were collected through an online survey distributed across multiple social media platforms, yielding 325 valid responses. The proposed model was empirically tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results revealed that performance expectancy (β = 0.636), perceived usefulness (β = 0.531), and perceived ease of use (β = 0.486) exert the strongest positive influences on users’ intention to adopt ADRs. Conversely, financial risk (β = −0.496) and perceived risk (β = −0.245) significantly and negatively affect user acceptance, while knowledge (β = 0.300) positively contributes to perceived usefulness. The findings suggest that enhancing technological reliability, usability, and affordability can strengthen public confidence and accelerate ADR adoption. Accordingly, developers and policymakers should focus on improving user experience, promoting trust through safety assurances, and providing transparent pricing models. This study offers valuable insights for designing effective implementation strategies and fostering sustainable integration of delivery robots into Iran’s urban transportation systems.

کلیدواژه‌ها English

Delivery Robots
Financial Risk
Performance Expectancy
Perceived Usefulness
Perceived Ease of Use
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