Article Details
  • Published Online:
    July  2026
  • Product Name:
    The IUP Journal of Accounting Research & Audit Practices
  • Product Type:
    Article
  • Product Code:
    IJARAP070726
  • DOI:
    10.71329/IUPJARAP/2026.25.3.123-135
  • Author Name:
    Neenu Bala and Saloni Raheja
  • Availability:
    YES
  • Subject/Domain:
    Finance
  • Download Format:
    PDF
  • Pages:
    123-135
Volume 25, Issue 3, July-September 2026
Trust as a Key Driver in Robo-Advisory Adoption: A Systematic Literature Review
Abstract

Robo-advisory services have emerged as a revolutionary innovation in the wealthtech industry, presenting automated, algorithm-driven financial advice to customers. The rise of robo-advisors reflects the increasing demand for cost-efficient, accessible, and personalized investment solutions. This paper presents a systematic literature review, focusing on the adoption of robo-advisory services in India, with a special emphasis on the critical role of trust. The study highlights the important elements that affect the development of trust, such as behavioral biases, subjective norms, and innovativeness, and investigates their effects on adoption intention through a thorough review of previous research. The analysis also emphasizes the special opportunities and challenges brought about by the Indian environment, which is marked by a range of financial literacy levels. In order to further investigate and improve the uptake of robo-advisory services in India, the study suggests future research paths.

Introduction

Robo-advisory services are revolutionizing financial advice by offering automated investing solutions that use artificial intelligence (AI) and algorithms to provide financial planning and portfolio management services. Robo-advisory, which combines AI, machine learning, and complex software algorithms, may help make better decisions while providing financial advice and important portfolio management.