ItemConference Paper

Enhancing Human Resource Management Practices in Marketing Companies Using Dual Graph Attention Networks

Title
Enhancing Human Resource Management Practices in Marketing Companies Using Dual Graph Attention Networks
Creator
Roopalatha, N.; Dhanalakshmi, K.; Babu, G.N.P.V.; Krishna, P. Vamsi; Perada, Anvesh; Mulagapati, Harun Kumar
Description
Marketing organization features and strategy implementation have been studied for over 30 years. These include organizational structure, culture, leadership, and processes. HR regulations can motivate marketing professionals to support group and individual goals when correctly implemented, but this part of HR has gotten little attention. Model preparation, feature extraction, and training comprise the suggestive technique. It reviewed data quality, evaluated dataset structure, and described data types during pre-processing. Principal component analysis (PCA) ranked and evaluated decision-making units to reduce dimension. Model training used MGGAN. In comparison to GAN and CNN, the proposed model performed well. With an average accuracy rate of 94.36%, it surpassed earlier approaches and captured all dataset peculiarities. MGGAN modeling can increase predictive performance, and marketing organizations should integrate HR regulations, according to this study. This study opens up new organizational analysis and strategy execution methods. 2025 IEEE.
Source
3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
human resource management (HRM); marketing strategy; multi-granularity gated graph attention network (MGGAN)
Coverage
Roopalatha N., School of Business, Gitam University, Hyderabad, India; Dhanalakshmi K., School of Business and Management, Christ University, Bangalore, India; Babu G.N.P.V., School of Business and Management, Christ University, Bangalore, India; Krishna P.V., School of Management and Commerce, Malla Reddy University, Hyderabad, India; Perada A., Drexel University, Department of Electrical and Computer Engineering, Philadelphia, United States; Mulagapati H.K., Srkr Engineering College, Department of Engineering Mathematics and Humanities, Chinna Amiram, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833150845-6;
Format
online
Language
English
Type
Conference paper

Citation

Roopalatha, N.; Dhanalakshmi, K.; Babu, G.N.P.V.; Krishna, P. Vamsi; Perada, Anvesh; Mulagapati, Harun Kumar, “Enhancing Human Resource Management Practices in Marketing Companies Using Dual Graph Attention Networks,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26009.

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