دانلود مقاله درک پذیرش هوش مصنوعی در مدیریت عملیات
چکیده
مقدمه
پیش زمینه مطالعه
پیش زمینه نظری، سوال تحقیق و گزاره
روش تحقیق
یافته ها
بحث
نتیجه گیری
محدودیت و کار آتی
منابع
Abstract
Introduction
Background study
Theoretical background, research question and proposition
Research methodology
Findings
Discussion
Conclusion
Limitation and future work
References
چکیده
در این عصر دیجیتال، داده ها نفت جدید و هوش مصنوعی (AI) برق جدید است که در عناصر مختلف مدیریت عملیات (OM) مانند تولید، توسعه محصول، خدمات و زنجیره تامین مورد نیاز است. این مطالعه امکان سنجی استفاده از هوش مصنوعی در یک سازمان را بر روی شش عامل از جمله تناسب شغلی، پیچیدگی، پیامدهای بلندمدت، تأثیر بر استفاده، عوامل اجتماعی و تسهیل شرایط برای عناصر مختلف OM با استخراج هوش جمعی کارشناسان در توییتر بررسی می‌کند. و از طریق ادبیات دانشگاهی. این مطالعه دستورالعمل‌هایی را برای مدیران برای کاربردهای هوش مصنوعی در اجزای مختلف OM ارائه می‌کند و با ارائه محدودیت‌های مطالعه همراه با جهت‌گیری‌های تحقیقاتی آینده به پایان می‌رسد.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
In this digital era, data is new oil and artificial intelligence (AI) is new electricity, which is needed in different elements of operations management (OM) such as manufacturing, product development, services and supply chain. This study explores the feasibility of AI utilization within an organization on six factors such as job-fit, complexity, long-term consequences, affect towards use, social factors and facilitating conditions for different elements of OM by mining the collective intelligence of experts on Twitter and through academic literature. The study provides guidelines for managers for AI applications in different components of OM and concludes by presenting the limitations of the study along with future research directions.
Introduction
In the current era of digital transformation, data is considered as the new oil and Artifcial Intelligence (AI) is often perceived to be the new electricity which can create value out of this oil. Warner and Wäger (2019) had defned digital transformation as the use of new digital technologies for improving businesses by enhancing customer experience, optimizing operations, creating new business models and many more. These new technologies used in digital transformation can be cloud, blockchain, mobile, AI, Internet of Things and other smart technologies (Duan et al. 2019; Dubey et al. 2020; Hughes et al. 2019; Ismagilova et al. 2019; Wamba and Queiroz 2020). The usage of technology for digital transformation is determined by organization’s attitude towards the technology, perceived usefulness and perceived ease of use (Berlak et al. 2020; Grover et al. 2019c). Organizations has been signifcantly engaged in digital transformation (Burton-Jones et al. 2020).
Conclusion
This article tries to explore the research question how AI can be utilized in OM in organizations through the complementary analysis of academic literature and social media data. By doing so, the complementary perspectives of academic experts along with practice experts have been analysed and documented. In this article; eight propositions on AI utilization in diferent element of OM had been explored. Results indicates AI utilization in OM will help organizations in increasing organization efciency, return on investment, quality, innovation, customer satisfaction and employee empowerment. Initially organization will face lot of difculty in AI implementation in an organization for making it easier the articles proposes the roadmap for AI Adoption in OM. Authors feel employees and AI powered system should work symbiotically, as both are depending on each other and success of AI systems lies in the mutual understanding of both. Authors also agree with other scholars that AI will become a core dominant infrastructure among technologies in future as internet is today (Haenlein and Kaaplan 2019). AI powered system will support decision makers in an organization across all functions.