@vidyavikas.edu.in
Professor & Dean: Department of Management Studies
Vidya Vikas Institute of Engineering and Technology
Organizational Behavior and Human Resource Management, Management of Technology and Innovation, General Business, Management and Accounting, Multidisciplinary
This research examines the effects of using cross-belt sorters on the efficiency of logistics and distribution operations in Metro cities in India thriving supply chain businesses. Due to the rising need for effective goods management and the growing intricacy of supply chains, there is an increasing need for cutting-edge solutions to improve efficiency and save expenses. Cross-belt sorters have become a favourable option, providing automated sorting capabilities that speed up order fulfilment procedures. This paper investigates the application of cross-belt sorters in specific logistics facilities in India using Qualitative & Quantitative techniques. By doing Quantitative & Qualitative analysis, this examines the degree to which these solutions enhance workflow, reduce mistakes, and enhance overall operational efficiency. The study understands the type of cross belt sorts are using in the supply chain operation in logistic operation. The results demonstrate significant improvements in
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Jonitha Anand, Nooraini Yusoff, Hadhrami Ab Ghani, and Kiran Kumar Thoti
AIP Publishing
P. Kranthi, Dr. M Geeta, Dr. C.N. Udaya Shankar, Dr. Ranjith. P. V, Dr. Kiran Kumar Thoti, and Mrs. Niharika Mishra
Science Publishing Corporation
The heightened need for rapid and accurate parcel delivery has resulted in the extensive implementation of automated technologies in logistics. This study assesses the operational efficiency and scalability of high-speed cross-belt sorters in comparison to manual sorting methods. This research analyses a case study from Bangalore, India, to evaluate the efficacy of the ZedSORT system compared to manual methods on throughput, labour dependency, cost-effectiveness, and scalability. Quantitative figures indicate a substantial augmentation in daily capacity (from 20,000 to 160,000 parcels), reduced labour needs, and enhanced real-time tracking and interaction with warehouse management systems. This research, based on the SCOR model and Industry 4.0 framework, provides practical insights and proposes a paradigm for the implementation of scalable automation in logistics operations. The findings enhance the discourse on the digital revolution of supply chains, offering lessons for both practitioners and researchers.
Kiran Kumar Thoti
PiscoMed Publishing Pte. Ltd.
The study focuses on the employees’ behavioral intentions towards the usage of disruptive technology in the industry. The digital technology application in consumer, retail, and hospitality, education and training, financial services, the health sector, infrastructure, government, and airports. The study objectives were to explore the possible adoption of innovation and creativity changes and their acceptance by the employees in the organization. To identify the variables impacting behavioral intention and analyze how these variables relate to perceived usefulness, attitude, perceived ease of use, facilitating conditions, and technology optimism. A structured questionnaire was used to collect data from 335 respondents, who were selected based on their relevance to the study objectives. The questionnaires were distributed through the Google Forms application, and the data were collected and analyzed periodically. The findings of the study provide valuable insights into the behavioral intention towards disruptive technologies in Kuala Lumpur and Putrajaya locations in Malaysia and highlight the significance of factors such as perceived usefulness, attitude, perceived ease of use, facilitating conditions, and technology optimism. The research contributes to the existing body of knowledge on Industry 4.0 by providing empirical evidence and practical implications for organizations seeking to leverage disruptive technologies in their operations management.
Keerthan Raj, K. Priya, K Senthilkumar, Sundarapandiyan Natarajan, R. Arun, and Kiran Kumar Thoti
IEEE
By analyzing the performance of machine learning-powered chatbots and virtual assistants, this approach seeks to automate customer support. To keep up with the ever-increasing need for scalable, efficient, and quick customer service, businesses are increasingly relying on DL and other innovative technologies. These technologies are being utilized to enhance customer support operations, and this proposal compares their effectiveness to that of more traditional types of assistance. Preprocessing, feature selection, and model training are all part of the suggested method. The purpose of preprocessing is to convert it into identically lengthened sequences of numbers. Problems with intuition and specification make up feature selection. During the whole training process, the Stacked A-GRU-BiLSTM model was continually employed. Compared to GRU and BiLSTM, this cutting-edge approach achieves a mean accuracy of 93.29%.
Venkata Ramaiah Turlapati, T Thirunavukkarasu, G. Aiswarya, Kiran Kumar Thoti, Kotigari Reddi Swaroop, and R. Mythily
IEEE
Many companies still fail to see the value of influencer marketing, star ratings, and customer reviews due to ignorance and a lack of understanding. Researchers are interested in the topic of The Relevance of Influencer Marketing, Ratings and Customer Reviews on Purchasing Decisions because it shows how important it is to have a strategy that combines influencer marketing with positive customer interactions and a good product reputation to influence consumer purchasing decisions. Preprocessing, feature extraction, and model training are all part of the suggested method. Additional measures were taken to guarantee the data's accuracy and relevancy during the SQL data preprocessing phase. Word bags, TF-IDF, and chi-square are the building blocks of feature extraction. During the whole training process, the Prophet-ARIMA-LSTM model was continually employed. This novel approach outperforms ARIMA and LSTM with an average accuracy of 92.72%.
1. "Job Stress and Employees Morale influence the Job Efficiency in Software Industries in India" Journal of Asia Pacific journals, Vol 2, Annual 2015, ISSN 978-81-930411-5-4 (Online)/ ISBN 978- 81-930411-5-4 (Print), Page Author: Dr. Kiran Kumar Thoti
2. “Grievance Settlement System at Small Scale Polymers Industries” International Conference proceedings organized by Karnataka State Women’s University, Bijapur, Thematic Publications‟ Pvt Ltd, ISBN 978-93-83192-49-6; Vol 1, Page no. 26; Authors: Kiran Kumar Thoti, Prof. Dr. Roselina Ahmad Saufi
3. “Innovation Management for Sustainability” International Conference organized by Don Bosco Institute of Bioscience and Management Studies, Bangalore, Excel India Publishers, New Delhi, India; ISBN 93-81361-67-3. Page No- 369; Authors: Kiran Kumar Thoti, Prof. Dr. Roselina Ahmad Saufi, Mrs. Yogeshwari Hiremath, Mrs. Shwetha
4. “The study on the global economic crisis and its impact the on automotive industry in India” National Conference organized by Rajarajeshwari College of Engineering, Mysore Road, Bangalore, Himalaya publishing house, Mumbai, India; ISBN 978-93-5051-634-8, Page No. 324-328; Authors: Kiran Kumar Thoti, Mrs. Yogeshwari Hiremath
5. “Knowledge Management Practices in Indian Software Industries” National Conference organized by Global Institute of Management Sciences, Rajarajeshwari Nagar, Bangalore, India, Himalaya publishing house, Mumbai, India; ISBN 978-93-5097-784-2, Page No. 165; Authors: Kiran Kumar Th
o Sanctions the amount of Rs. 3,30,000/- (Rupees Three Lakh Thirty-Three Thousand Only) Was sanctioned in the Month of December- 2019 for Organizing Conference under the Scheme Grant for Organizing Conference (GOC): AICTE (All India Council for Technical Education)
o Approved the amount of Rs. 3,00,000/- (Rupees Three Lakh only) was approved in August 2024 for conducting Research on the topic “An Exploratory Study on Cross-Belt Sorters in the Delivery Supply Chain Industry to Enhance Operational Efficiency” for 18 Month Period under Institution Research Grant (M.S. Ramaiah Institute of Management, Bangalore, India).
• Indian patent advanced search system (inpass), application number: 202141038074, title: secure and automated driving inspector powered by Arduino raspberry pi using deep learning, published on: 03-09-2021, published in intellectual property India, office of the comptroller general of patents, designs & trade marks, department of industrial policy and promotion, ministry of commerce & industry, government of India, link:
• Indian patent advanced search system (inpass), application number: 202241025099, title: influence of human resources practices on attitude and behavior results with pos as a moderating variable, published on 13-05-2022, published in intellectual property India, office of the comptroller general of patents, designs & trademarks, department of industrial policy and promotion, ministry of commerce & industry, government of India, link:
• Indian patent advanced search system (inpass), application number: 381154-001, title: design of smart jig to support dental fixtures, published on 11-03-2023, published in intellectual property India, office of the comptroller general of patents, designs & trademarks, department of industrial policy and promotion, ministry of commerce & industry, government of India.
• Indian patent advanced search system (inpass), application number: 202441003450, title: An Empirical
Recruitment Strategies for Apache Footwear Pvt Limited, Sri City, Andhra Pradesh on May 2017
2. Soft Skills and HR Policies for Kinnari Information Technology, Bangalore, Karnataka on Aug- 2019
3. Soft Skills Trainer for Easystepin It Service Limited, Bangalore, Karnataka on July- September 2021
1. MOU’s in MGSEB with MS Ramaiah Institute of Management, KIAMS & Relator Oxygen Company located in India- Academic Year 2022-2023
2. Certificate of Appreciation for acting as JURY for Business Product Pitching at Carnival of Megapreneurship and innovation 2.0 (COMEi 2.0) on 10th -12th June 2023, Organized by Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Malaysia.
3. Certificate of Appreciation for acting as JURY for the international Conference on AGRO Revolution & Innovation Challenges 2024 (AGRORIC 2024) in conjunction with Agricultural Expo 2024 (AGX 2024) on 1st June 2024.
In Process for starting the Wearhouse Business/ Logistics/ Export & Import in Karnataka, Andhra Prades
1. Award for Outstanding Academic Excellence given by Andhra Pradesh State Council of Higher Education on 04/08/2018 in Jnanabheri (Knowledge Summit) Workshop held in Sri Venkateshwara University, Tirupati.
2. Certificate of Appreciation presented for Contribution as Anchor Faculty in the 10 hours session of the program “Kona Kona Shiksha,” conducted by the National Institute of Securities Markets (NISM) under the aegis of CSR Program of Kotak Securities Limited on 07-02-2022.
3. Certificate of Appreciation presented for acting as a Chairperson in the One-day virtual international conference on Digital Transformation & sustainability in Business on 31.03.2022 organized by the Department of Commerce with CMA, PSG College of Arts and Science College, Coimbatore.
4. Best Faculty Award under the Category of Pride of India Awards- 2022 for Academic Excellence organized by the International Council of Social Reforms and Research in the event International Conference on Research & Innovations: “Tribute to Dr Baba Saheb Ambedkar” on his Birth Anniversary- Pride of India Awards- 2022 on 14th April’ 2022
5. INSC Best Teacher Award- 2022, Award ID: 3BTA8 for Academic Excellence organized by InSc International Publishers, UAM: KR09E0002001, CIN: U80904KA2021OPC143961, An ISO 9001:2015 certified & registered under MSME & Corporate Affairs, Govt of India, May 2022
6. India Prime Icon Award in Category of Education and Social Leadership, Organized by Foxclues Private Limited, Approved and