银行业人力资源的足迹

Rajani H. Pillai, R. Vedapradha, C. Smitha, A. Kumari
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引用次数: 1

摘要

目的:无论技术变革如何引领,人力资源在任何组织的整体发展中都起着举足轻重的作用。本研究旨在分析人力资源在商业银行中的作用,以促进提供基于决策的优质服务,包括保密,分析技能和解决问题的能力。设计/方法/方法:对来自班加罗尔市区商业银行的50名受访者进行了调查,以收集基于分层抽样方法的结构化问卷收集的主要数据。机密性,分析能力,解决问题的能力,技术和服务是使用SPSS AMOS(分析运动方差)测试结构方程模型(SEM)的变量。发现:SEM已被应用于验证模型拟合,以测试人力资源在商业银行服务的决策中是否存在显著影响。结果表明,机密性是模型中影响最大的路径,其标准化系数为0.986,其次是问题解决能力,标准化系数为0.972。原创性/价值:人工智能已经接管了商业的方方面面,在全球化的现代时代,随着技术支持的系统在决策中更加准确和有用,人力资源在解释系统方面发挥着关键作用,减少了劳动力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Footprints of Human Resource in Banking Sector
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.
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