Customer experiences in the era of artificial intelligence (AI) in context to FinTech: a fuzzy AHP approach

被引:19
|
作者
Arora, Anchal [1 ]
Gupta, Sanjay [1 ]
Devi, Chandrika [2 ]
Walia, Nidhi [2 ]
机构
[1] Sri Aurobindo Coll Commerce & Management, Dept Commerce & Management, Ludhiana, India
[2] Punjabi Univ, Patiala, India
关键词
Customer experience; Artificial intelligence; FinTech services; Service quality; Perceived usefulness; Perceived convenience; MEASURING SERVICE QUALITY; COMMITMENT-TRUST THEORY; ROBO-ADVISERS; ACCEPTANCE; CONVENIENCE; ASSISTANTS; ADOPTION; SATISFACTION; ENCOUNTERS; MANAGEMENT;
D O I
10.1108/BIJ-10-2021-0621
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose - The financial technology (FinTech) era has brought a revolutionary change in the financial sector's customer experiences at the national and global levels. The importance of artificial intelligence (AI) in the context of FinTech services for enriching customer experiences has become a new norm in this modern era of technological advancement. So, it becomes crucial to understand the customer's perspective. The current research ranks the factors and sub-factors influencing customers' perceptions of AI-based FinTech services. Design/methodology/approach - The sample size for this study was decided to be 970 respondents from four Indian cities: Mumbai, Delhi, Kolkata and Chennai. The Fuzzy-AHP technique was used to identify the primary factors and sub-factors influencing customers' experiences with AI-enabled finance services. The factors considered in the study were service quality, trust commitment, personalization, perceived convenience, relationship commitment, perceived sacrifice, subjective norms, perceived usefulness, attitude and vulnerability. The current research is both empirical and descriptive. Findings - The study's three top factors are service quality, perceived usefulness and perceived convenience, all of which have a significant impact on customers' experience with AI-enabled FinTech services discussing sub-criteria three primary criteria for customers' experience for FinTech services include: "Using FinTech would increase my effectiveness in managing a portfolio (A2)", "My peer groups and friends have an impact on using FinTech services (SN3)" and "Using FinTech would increase my efficacy in administering portfolio (PU2)". Research limitations/implications - The current study is limited to four Indian cities, with 10 factors to understand customers' preferences in FinTech. Further research can focus on other dimensions like perceived ease of use, familiarity, etc. Future studies can have a broader view of different geographical locations and consider new tech to understand customer perceptions better. Practical implications - The study's findings will significantly assist businesses in determining the primary aspects influencing customers' experiences with AI-enabled financial services. As a result, they will develop strategies and policies to entice clients to use AI-powered FinTech services. Originality/value - Existing AI research investigated several vital topics in the context of FinTech services. On the other hand, the current study ranked the criteria in understanding customer experiences. The research will substantially assist marketers, business houses, academicians and practitioners in understanding essential facets influencing customer experience and contribute significantly to the literature.
引用
收藏
页码:4342 / 4369
页数:28
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