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Article
Publication date: 28 July 2021

Ankita Bhatia, Arti Chandani, Rajiv Divekar, Mita Mehta and Neeraja Vijay

Innovation is the way of life and we see various innovative techniques and methods being introduced in our daily life. This study aims to focus on digital innovation in the wealth…

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Abstract

Purpose

Innovation is the way of life and we see various innovative techniques and methods being introduced in our daily life. This study aims to focus on digital innovation in the wealth management domain. This study examines the effect of usage of robo-advisory services in investment decision-making and behavioural biases, i.e. overconfidence and loss aversion. Such studies are more pronounced in developed countries and little has been studied about investor behaviour in association with advisory services in developing countries such as India.

Design/methodology/approach

Overconfidence and loss-aversion biases, investment decision-making and advisory services questions are measured using a five-point Likert scale. The number of respondents was 172 investors. A purposive sampling is used for gathering responses from investors. Structural equation modeling model was run using AMOS 22 version software package.

Findings

The authors found that behavioural biases positively and significantly influence the irrationalities of investment decision-making. The findings of this study also provide empirical evidence that the usage of robo-advisory services, by individual investors, is still incapable of mitigating behavioural biases, such as overconfidence bias and loss-aversion bias.

Research limitations/implications

The sample size of this study could be a limiting factor. This study is limited only to two biases, while other behavioural biases affect the investment decision-making of the investors, which can be considered for future research along with the impact of robo-advisory services in different socio-cultural backgrounds.

Practical implications

This study will assist fintech start-ups, banks, architecture of robo advisors, product owners and wealth management service providers improvise their products, platforms and offerings of these automated advisory services. This could help individual investors to mitigate their behavioural biases in investment decision-making.

Social implications

This study is useful to society as the awareness of robo-advisory services is very less, at present, and there is a need to increase the usage of these services to extend the benefit of this to the lower stratum of society. These services would be useful to all investors who find it difficult to afford financial advisors and help them mitigate their behavioural biases for investment decision-making.

Originality/value

This study is the first of its type that establishes the linkage between behavioural biases, digital innovation in fintech, i.e. robo-advisory services and individual investor’s investment decision-making in individual investor of the Indian stock market.

Details

International Journal of Innovation Science, vol. 14 no. 3/4
Type: Research Article
ISSN: 1757-2223

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Case study
Publication date: 5 September 2018

Sanjay Verma

AutoDx Case narrates an exciting story of how organizations in one industry (buyers, suppliers, and suppliers of suppliers), who fiercely compete with each other in the…

Abstract

AutoDx Case narrates an exciting story of how organizations in one industry (buyers, suppliers, and suppliers of suppliers), who fiercely compete with each other in the marketplace, collaborated to develop an online platform which would bring in significant efficiency in the system and benefit all the players. The case shows that first attempt to develop such a platform failed in the late 90s. However, similar attempt, later on, was inching towards success. That shows the impact of timing of technology and Shared Beliefs. While Case A narrates the problems faced by a few managers and needs for autoDx, Case B details how the project became successful and was under the process of adoption by various organizations.

Details

Indian Institute of Management Ahmedabad, vol. no.
Type: Case Study
ISSN: 2633-3260
Published by: Indian Institute of Management Ahmedabad

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