Overcoming customer innovation resistance to the sustainable adoption of chatbot services: A community-enterprise perspective in Thailand

被引:68
作者
Kwangsawad, Achaporn [1 ]
Jattamart, Aungkana [1 ]
机构
[1] Rajamangala Univ Technol Rattanakosin, Fac Business Adm, Dept Business Informat Technol, Wang Klai Kangwon Campus, Salaya, Thailand
来源
JOURNAL OF INNOVATION & KNOWLEDGE | 2022年 / 7卷 / 03期
关键词
Overcoming innovation; Resistance behaviors; Sustainable adoption; Chatbot services; Community enterprise; Innovation-decision process; STRUCTURAL EQUATION MODELS; TECHNOLOGY ACCEPTANCE; PERCEIVED RISK; DETERMINANTS; ANTECEDENTS; PERFORMANCE; DIFFUSION; VARIABLES; TRUST; EASE;
D O I
10.1016/j.jik.2022.100211
中图分类号
F [经济];
学科分类号
02 ;
摘要
The primary goal of utilizing chatbots for customer service is to fulfill customer requests without requiring a conversation. However, the challenge to the sustainable adoption of innovations is overcoming the obstacles that prevent the innovation's spread. The current study examined factors including consumers' perceptions, barriers and perceived risks that influence consumers' intentions to continue utilizing chatbot services in community enterprise. Modeling integrates the innovation-decision process in Phase 1 (knowledge, persuasion, and decision) with the technology acceptance model (TAM), perceived convenience and information quality. We also consider technological anxiety and openness to experience as potential barriers to individual innovation. The research model was tested using partial least squares structural equation modeling (PLSSEM) from 401 users with no more than 6 months of community-enterprise chatbot experience. Key findings that perceived privacy and time risk directly affected attitudes and intentions toward using chatbots. Moreover, technological anxiety is a barrier that affects attitudes toward chatbot usage, while perceived information quality indirectly influences users to use chatbots continually. However, there was no correlation between openness to experience and attitudes toward the continued use of chatbots. The finding indicates that experienced chatbot users are concerned with privacy and time constraints. This study contributes significantly to knowledge of the impediments to the diffusion of sustainable innovations among communityenterprise entrepreneurs.(c) 2022 The Authors. Published by Elsevier Espana, S.L.U. on behalf of Journal of Innovation & Knowledge. This (http://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
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页数:13
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共 98 条
[1]   E- service quality and actual use of e-banking: Explanation through the Technology Acceptance Model [J].
Ahmad, Sheraz ;
Bhatti, Sabeen Hussain ;
Hwang, Yujong .
INFORMATION DEVELOPMENT, 2020, 36 (04) :503-519
[2]   How do innovation culture, marketing innovation and product innovation affect the market performance of small and medium-sized enterprises (SMEs)? [J].
Aksoy, Hasan .
TECHNOLOGY IN SOCIETY, 2017, 51 :133-141
[3]   Diffusion of innovation among Malaysian manufacturing SMEs [J].
Al Mamun, Abdullah .
EUROPEAN JOURNAL OF INNOVATION MANAGEMENT, 2018, 21 (01) :113-141
[4]   Integrating innovation diffusion theory with technology acceptance model: supporting students' attitude towards using a massive open online courses (MOOCs) systems [J].
Al-Rahmi, Waleed Mugahed ;
Yahaya, Noraffandy ;
Alamri, Mahdi M. ;
Alyoussef, Ibrahim Youssef ;
Al-Rahmi, Ali Mugahed ;
Bin Kamin, Yusri .
INTERACTIVE LEARNING ENVIRONMENTS, 2019, :1380-1392
[5]   Personality traits, individual innovativeness and satisfaction with life [J].
Ali, Imran .
JOURNAL OF INNOVATION & KNOWLEDGE, 2019, 4 (01) :38-46
[6]   Social acceptance of location-based mobile government services for emergency management [J].
Aloudat, Anas ;
Michael, Katina ;
Chen, Xi ;
Al-Debei, Mutaz M. .
TELEMATICS AND INFORMATICS, 2014, 31 (01) :153-171
[7]   Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions [J].
Araujo, Theo .
COMPUTERS IN HUMAN BEHAVIOR, 2018, 85 :183-189
[8]   I, Chatbot: Modeling the determinants of users' satisfaction and continuance intention of AI-powered service agents [J].
Ashfaq, Muhammad ;
Yun, Jiang ;
Yu, Shubin ;
Correia Loureiro, Sandra Maria .
TELEMATICS AND INFORMATICS, 2020, 54
[9]   Conducting Online Surveys [J].
Ball, Helen L. .
JOURNAL OF HUMAN LACTATION, 2019, 35 (03) :413-417
[10]   Cognitive Chatbot for Personalised Contextual Customer Service: Behind the Scene and beyond the Hype [J].
Behera, Rajat Kumar ;
Bala, Pradip Kumar ;
Ray, Arghya .
INFORMATION SYSTEMS FRONTIERS, 2024, 26 (03) :899-919