Avatars at the forefront: how collaboration types influence purchase intention

被引:2
作者
Zhang, Shengliang [1 ]
Mahemuti, Maierdan [1 ]
Tang, Jing [2 ]
Han, Xiaohua [3 ]
Li, Xiaodong [4 ]
机构
[1] Univ Sci & Technol China, Sch Management, Hefei, Peoples R China
[2] Rochester Inst Technol, Saunders Coll Business, Rochester, NY USA
[3] Guangdong Univ Foreign Studies, Sch Business, Guangzhou, Peoples R China
[4] Anhui Polytech Univ, Sch Econ & Management, Beijing Rd, Wuhu 241000, Peoples R China
基金
中国国家自然科学基金;
关键词
Avatars; live streamers; means-end chain theory; purchase intention; human-ai collaborations; PHYSICAL ATTRACTIVENESS; CELEBRITY ENDORSER; SOURCE CREDIBILITY; SELF-DISCLOSURE; SERVICE QUALITY; E-COMMERCE; INFORMATION; CUSTOMERS; TRUST; EXPERTISE;
D O I
10.1080/02642069.2025.2458213
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Avatar staff are becoming increasingly pervasive in the online service industry. However, the contribution of collaboration between avatar staff and other service providers in influencing consumer purchasing decisions has received minimal focus. This study addresses this gap by employing a comprehensive experimental framework. Grounded in the means-end chain theory, we explore three types of avatar-involved service provider collaborations (human and avatar, artificial intelligence and avatar, and avatar and avatar) and two communication styles (task-oriented vs. social-oriented), assessing their combined impacts on consumer purchase intention. This study reveals considerable differences in source credibility (i.e. attractiveness, expertise, and trustworthiness) across various service provider collaborations, which, in turn, considerably affect purchase intention. Meanwhile, social-oriented communication moderates the contrasts in source credibility and purchase intention compared to task-oriented communication style, offering vital strategies for successfully integrating avatar employees into service provider collaborations.
引用
收藏
页数:35
相关论文
共 114 条
[31]   Cognitive Challenges in Human-Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation [J].
Fuegener, Andreas ;
Grahl, Jorn ;
Gupta, Alok ;
Ketter, Wolfgang .
INFORMATION SYSTEMS RESEARCH, 2022, 33 (02) :678-696
[32]   How the live streaming commerce viewers process the persuasive message: An ELM perspective and the moderating effect of mindfulness [J].
Gao, Xiayuan ;
Xu, Xiao-Yu ;
Tayyab, Syed Muhammad Usman ;
Li, Qi .
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2021, 49
[33]   Humanizing chatbots: The effects of visual, identity and conversational cues on humanness perceptions [J].
Go, Eun ;
Sundar, S. Shyam .
COMPUTERS IN HUMAN BEHAVIOR, 2019, 97 :304-316
[34]   The metaverse in the hospitality and tourism industry: An overview of current trends and future research directions [J].
Gursoy, Dogan ;
Malodia, Suresh ;
Dhir, Amandeep .
JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT, 2022, 31 (05) :527-534
[35]   A MEANS-END CHAIN MODEL BASED ON CONSUMER CATEGORIZATION PROCESSES [J].
GUTMAN, J .
JOURNAL OF MARKETING, 1982, 46 (02) :60-72
[36]  
Hayes A. F., 2013, INTRO MEDIATION MODE, V1, P12, DOI DOI 10.1111/JEDM.12050
[37]   What and how driving consumer engagement and purchase intention in officer live streaming? A two-factor theory perspective [J].
He, Yun ;
Li, Wenjie ;
Xue, Jiaolong .
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2022, 56
[38]  
Hemp P, 2006, HARVARD BUS REV, V84, P48
[39]   Signalling Effects of Vlogger Popularity on Online Consumers [J].
Hill, Sally Rao ;
Troshani, Indrit ;
Chandrasekar, Dezri .
JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2020, 60 (01) :76-84
[40]   The influence of avatars on online consumer shopping behavior [J].
Holzwarth, Martin ;
Janiszewski, Chris ;
Neumann, Marcus M. .
JOURNAL OF MARKETING, 2006, 70 (04) :19-36