Innovative AI Regional Economic Development Driven by Information System Innovation: Opportunities and Challenges - A Boosting Factor from Digitalization, Business Intelligence Analytics

Author:

Song Xin1,Han Wenyuan2

Affiliation:

1. Ph.D, School of Business, Economics and Management of the National Economy, Belarusian State University, Minsk, Belarus

2. Ph.D, School of Business, Innovation Management, Belarusian State University, Minsk, Belarus

Abstract

This investigation looks at the intricate relationships between business intelligence (BI) analytics, digitalization, cutting-edge artificial intelligence (AI), and information system innovation, as well as how they affect local economic growth. The study emphasizes the transformative potential of AI as a powerful accelerator for regional growth by stimulating innovation, enhancing efficiency, and expediting decision-making processes. It does this by applying map analysis and spatial econometric model regression to a dataset covering Chinese regions from 2010 to 2022. The study highlights the critical need for the development of sophisticated digitalization frameworks and information systems to adapt to the ever-evolving dynamics of regional economies and advocates for the collabourative efforts of researchers and local governments in tailoring AI-driven solutions that cater to the unique demands of individual localities. Although the research highlights the initial benefits provided by BI analytics, it also strongly emphasizes the need for ongoing innovation to maintain long-term success, encouraging academics to improve and streamline current BI analytics programmes. The paper also highlights the crucial importance of computing sustainability, effective administration of massive datasets, seamless human-AI collabouration, geographic computing, and the ethical considerations connected with AI adoption. The study emphasizes the value of utilizing AI's revolutionary potential while proactively tackling the issues it presents by offering a series of doable recommendations for policymakers, practitioners, and researchers. In the end, this study makes a significant contribution to the body of knowledge already available about the role of AI in regional economic development, providing priceless insights for those involved in directing the course of regional economies.

Publisher

International Association for Digital Transformation and Technological Innovation

Subject

Information Systems

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3