مشخصات مقاله | |
ترجمه عنوان مقاله | هوش مصنوعی و استراتژی کسب و کار به سمت تحول دیجیتالی: یک برنامه تحقیقاتی |
عنوان انگلیسی مقاله | Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda |
انتشار | مقاله سال 2021 |
تعداد صفحات مقاله انگلیسی | 14 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه MDPI |
نوع نگارش مقاله | مقاله پژوهشی (Research article) |
مقاله بیس | این مقاله بیس میباشد |
نمایه (index) | JCR – Master Journal List – Scopus – DOAJ |
نوع مقاله |
ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
3.251 در سال 2020 |
شاخص H_index | 14 در سال 2020 |
شاخص SJR | 0.234 در سال 2020 |
شناسه ISSN | 2071-1050 |
شاخص Quartile (چارک) | Q2 در سال 2020 |
فرضیه | ندارد |
مدل مفهومی | دارد، تصویر 2 صفحه 9 |
پرسشنامه | ندارد |
متغیر | ندارد |
رفرنس | دارد |
رشته های مرتبط | مدیریت، مهندسی کامپیوتر |
گرایش های مرتبط | مدیریت کسب و کار، مدیریت فناوری اطلاعات، مدیریت تحول، هوش مصنوعی |
نوع ارائه مقاله |
ژورنال |
مجله / کنفرانس | پیش بینی فناورانه و تحول اجتماعی – Technological Forecasting & Social Change |
دانشگاه | University of Macedonia, Greece |
شناسه دیجیتال – doi | https://doi.org/10.3390/su13042025 |
کد محصول | E15772 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract Keywords Introduction Materials and Methods Results Conclusions Appendix References |
بخشی از متن مقاله: |
Abstract In the past decade, current literature and businesses have drawn attention to Artificial Intelligence (AI) tools and in particular to the advances in machine learning techniques. Nevertheless, while the AI technology offers great potential to solve difficulties, challenges remain implicated in practical implementation and lack of expertise in the strategic usage of AI to create business value. This paper aims to implement a systematic literature review analyzing convergence of the AI and corporate strategy and develop a theoretical model incorporating issues based on the existing research in this field. Eighty-one peer-reviewed articles were discussed on the basis of research methodology from Webster and Watson (2002). In addition to gaps in future research, a theoretical model is developed, discussing the four sources of value creation: AI and Machine Learning in organizations; alignment of AI tools and Information Technology (IT) with organizational strategy; AI, knowledge management and decision-making process; and AI, service innovation and value. These outcomes lead to both theoretical and managerial viewpoints, with extensive possibilities to generate new methods and types of management practices. Introduction In the digital age, businesses need reduced waiting periods and thus more awareness in the market environment that could alter faster than previous decades. Through this view, several organizations have been adopting emerging technologies designed to obtain high performance and a competitive advantage [1]. Amongst these advancements, Artificial Intelligence (AI) has held a pivotal position [2] and has drawn the attention of both researchers and the industrial sector. AI is referred to as the ability of a machine to learn from experience, adjust to new inputs and implement human-like tasks [3]. As per [3], AI could now be the innovation entity with the most significant potential for disruption. Likewise, in the case of [4], AI is the fundamental multi-purpose technology in the domain, especially in relation to machine learning tools. |