Unveiling the potential of generative artificial intelligence: a multidimensional journey into the future

观点 主题(文档) 旅游 生成语法 款待 独创性 主题专家 价值(数学) 边疆 服务(商务) 知识管理 计算机科学 管理科学 人工智能 业务 营销 社会学 政治学 工程类 定性研究 专家系统 万维网 社会科学 法学 机器学习 视觉艺术 艺术
作者
Keng‐Boon Ooi,Alex Koohang,Eugene Cheng‐Xi Aw,Tat‐Huei Cham,Cihan Çobanoğlu,Charles Dennis,Yogesh K. Dwivedi,Jun-Jie Hew,Heather Linton Kelly,Laurie Hughes,Chieh‐Yu Lin,Anubhav Mishra,Ian Phau,Ramakrishnan Raman,Μαριάννα Σιγάλα,Yun-Chia Tang,Lai‐Wan Wong,Garry Wei‐Han Tan
出处
期刊:Industrial Management and Data Systems [Emerald Publishing Limited]
卷期号:125 (2): 417-432 被引量:16
标识
DOI:10.1108/imds-10-2023-0703
摘要

Purpose The launch of ChatGPT has brought the large language model (LLM)-based generative artificial intelligence (GAI) into the spotlight, triggering the interests of various stakeholders to seize the possible opportunities implicated by it. Nevertheless, there are also challenges that the stakeholders should observe when they are considering the potential of GAI. Given this backdrop, this study presents the viewpoints gathered from various subject experts on six identified areas. Design/methodology/approach Through an expert-based approach, this paper gathers the viewpoints of various subject experts on the identified areas of tourism and hospitality, marketing, retailing, service operations, manufacturing and healthcare. Findings The subject experts first share an overview of the use of GAI, followed by the relevant opportunities and challenges in implementing GAI in each identified area. Afterwards, based on the opportunities and challenges, the subject experts propose several research agendas for the stakeholders to consider. Originality/value This paper serves as a frontier in exploring the opportunities and challenges implicated by the GAI in six identified areas that this emerging technology would considerably influence. It is believed that the viewpoints offered by the subject experts would enlighten the stakeholders in the identified areas.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lele发布了新的文献求助10
刚刚
1秒前
z23150007发布了新的文献求助10
1秒前
呆萌芙蓉发布了新的文献求助10
2秒前
泡泡完成签到,获得积分10
2秒前
4秒前
何故完成签到 ,获得积分10
4秒前
5秒前
Owen应助麻薯蛋挞采纳,获得10
5秒前
6秒前
7秒前
寒冷十三完成签到,获得积分10
7秒前
科研通AI6.4应助欢欢姐姐采纳,获得10
7秒前
8秒前
8秒前
z23150007完成签到,获得积分20
9秒前
在水一方应助xxzz采纳,获得10
9秒前
10秒前
10秒前
Maochuanwei发布了新的文献求助10
11秒前
派派发布了新的文献求助10
11秒前
鲜艳的代桃完成签到,获得积分10
11秒前
每天都困发布了新的文献求助20
12秒前
CodeCraft应助kin采纳,获得10
12秒前
雾霭迷茫完成签到,获得积分10
12秒前
13秒前
慕青应助啾啾采纳,获得10
13秒前
闫123完成签到,获得积分10
14秒前
anx完成签到,获得积分10
14秒前
科研通AI6.4应助尉迟莲采纳,获得10
15秒前
15秒前
奔跑应助sunnyjc采纳,获得10
15秒前
16秒前
嘭嘭嘭发布了新的文献求助10
16秒前
16秒前
NexusExplorer应助小森采纳,获得10
18秒前
慕青应助li采纳,获得10
18秒前
阔达随阴发布了新的文献求助10
18秒前
锅子发布了新的文献求助10
18秒前
落寞的绯完成签到 ,获得积分10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7624255
求助须知:如何正确求助?哪些是违规求助? 9199397
关于积分的说明 19722554
捐赠科研通 7195443
什么是DOI,文献DOI怎么找? 3273499
关于科研通互助平台的介绍 2435675
邀请新用户注册赠送积分活动 2269303