Leveraging the metaverse ecosystem: How institutional factors, adoption of metaverse-related technologies, and absorptive capacity drive performance in high-tech small and medium-sized enterprises

被引：2
作者：
Shahzad, Fakhar [1 ]
Zhang, Qingyu [1 ]
机构：
[1] Shenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen, Peoples R China
来源：
INFORMATION & MANAGEMENT | 2025年 / 62卷 / 02期
关键词：
Metaverse; International marketing agility; Institutional theory; Adoption; High-tech SMEs; PERCEIVED CRITICAL MASS; FIRM PERFORMANCE; USER ACCEPTANCE; INFORMATION-TECHNOLOGY; DYNAMIC CAPABILITIES; GREEN INNOVATION; VIRTUAL WORLDS; MEDIATING ROLE; ICT ADOPTION; PLS-SEM;
D O I：
10.1016/j.im.2024.104080
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study aims to investigate the adoption of Metaverse-related technologies by high-tech small and mediumsized enterprises (SMEs) and its impact on international marketing agility and firm performance. A two-wave longitudinal design was applied using structural equation modeling to assess data collected from high-tech SME executives (n = 226). This study reveals that various institutional aspects positively influence high-tech SMEs' intention to adopt Metaverse-related technologies, leading to its adoption. Adoption improves marketing agility and performance, with absorptive capacity playing a crucial mediating role. Based on the results of empirical investigation, this study provides significant theoretical and practical contributions.
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页数：26
相关论文
共 173 条
[21]   External knowledge sources, green innovation and performance [J].
Ben Arfi, Wissal ;
Hikkerova, Lubica ;
Sahut, Jean-Michel .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2018, 129 :210-220
[22]  
Berman M., 2023, Forbes
[23]   Technology acceptance and critical mass: Development of a consolidated model to explain the actual use of mobile health care communication tools [J].
Byrd, Thomas F. ;
Kim, Jane S. ;
Yeh, Chen ;
Lee, Jungwha ;
O'Leary, Kevin J. .
JOURNAL OF BIOMEDICAL INFORMATICS, 2021, 117
[24]   Understanding mobile payment users' continuance intention: a trust transfer perspective [J].
Cao, Xiongfei ;
Yu, Lingling ;
Liu, Zhiying ;
Gong, Mingchuan ;
Adeel, Luqman .
INTERNET RESEARCH, 2018, 28 (02) :456-476
[25]  
Charan Shubham P., 2018, INT J SUST DEV WORLD, V25, P23, DOI [10.1080/13504509.2016.1258373, DOI 10.1080/13504509.2016.1258373]
[26]   Examining the Impact of Adoption of Emerging Technology and Supply Chain Resilience on Firm Performance: Moderating Role of Absorptive Capacity and Leadership Support [J].
Chatterjee, Sheshadri ;
Chaudhuri, Ranjan ;
Vrontis, Demetris .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 :10373-10386
[27]   Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model [J].
Chatterjee, Sheshadri ;
Rana, Nripendra P. ;
Dwivedi, Yogesh K. ;
Baabdullah, Abdullah M. .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 170
[28]   Effective industrial policy implementation for open innovation: The role of government resources and capabilities [J].
Cheah, Sarah Lai-Yin ;
Ho, Yuen-Ping .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2020, 151
[29]  
Chen Adela J., 2011, Australian Journal of Information Systems, V17, P23
[30]   The evaluation of innovation efficiency and analysis of government subsidies influence-Evidence from China's metaverse listed companies [J].
Chen, Limei ;
Tao, Siyun ;
Xie, Xiaohan ;
Huang, Weidong ;
Zhu, Weiwei .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 201
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