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Blount, Y., Castleman, T. and Swatman, P.M.C. (2003) E-Commerce and Human Resource Management: Theoretical Approaches and Issues for the Banking Industry. In: Andersen, K.V., Elliot, S., Swatman, P., Trauth, E. and Bjørn-Andersen, N., Eds., Seeking Success in E-Business: A Multidisciplinary Approach, Springer, Boston, MA.

has been cited by the following article:

• TITLE: Footprints of Human Resource in Banking Sector

  AUTHORS: Rajani H. Pillai, R. Vedapradha, Candida Smitha, A. Suriya Kumari

  KEYWORDS: Merchant Banking, Fraud Analysts, Structural Equation Model (SEM), Artificial Intelligence

  JOURNAL NAME: Journal of Human Resource and Sustainability Studies, Vol.7 No.3, August 2, 2019

  ABSTRACT: Purpose: Human resource plays a pivotal role in the overall development of any organization irrespective of technological changes taking the lead. The study aims to analyze the role of human resource in the Merchant banks that facilitate in offering quality services rendered based on the decision making comprising of confidentiality, analytical skills, and problem-solving ability. Design/Methodology/Approach: 50 respondents from the Merchant banks operating in urban Bangalore were surveyed to collect the primary data collected based on a structured questionnaire using a stratified sampling method. Confidentiality, analytical skills, problem-solving ability, technology & service are the variables used to test the Structural Equation Model (SEM) using SPSS AMOS (Analysis of Movement variance). Findings: SEM has been applied to validate the model fit to test if there is a significant effect of human resource in the decision making for the Merchant banking services rendered. The findings resulted that confidentiality is the most influencing path in the model with standardized coefficients being 0.986 and followed by problem-solving ability being 0.972. Originality/Value: Artificial Intelligence has been taking over every aspect of the business reducing the workforce in the modern era of globalization as technology-enabled systems can be more accurate and useful in decision making, and human resource plays a pivotal role in interpreting the systems.