R. Hariharan’s research while affiliated with School of Business and Management and other places

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Publications (9)


Fig.2. Types of DC motors used in Drones and UAVs
The classification of UAVs
Metrics of Solar power extraction
Advancements in Solar-Powered UAV Design Leveraging Machine Learning: A Comprehensive Review
  • Article
  • Full-text available

June 2024

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77 Reads

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3 Citations

E3S Web of Conferences

Hariharan R

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Archana Saxena

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Vijay Dhote

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[...]

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Jambi Ratna Raja Kumar

Unmanned Aerial Vehicles (UAVs), commonly known as drones, have seen significant innovations in recent years. Among these innovations, the integration of solar power and machine learning has opened up new horizons for enhancing UAV capabilities. This review article provides a comprehensive overview of the state-of-the-art in solarpowered UAV design and its synergy with machine learning techniques. We delve into the various aspects of solar-powered UAVs, from their design principles and energy harvesting technologies to their applications across different domains, all while emphasizing the pivotal role that machine learning plays in optimizing their performance and expanding their functionality. By examining recent advancements and challenges, this review aims to shed light on the future prospects of this transformative technology.

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Prioritizing evaluation criteria of IoT-driven warehousing startups: a silver lining to the unorganized sector in food supply chain

June 2024

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23 Reads

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2 Citations

The International Journal of Logistics Management

Purpose This research is designed to meet two research objectives: firstly, to weigh up the criteria of Internet of Things (IoT) adoption in warehousing startups; secondly, to rank warehousing startups on the basis of benefits they derive from IoT adoption catering to an unorganized sector in the food supply chain. Design/methodology/approach A blend of analytic hierarchy process (AHP) and complex proportional assessment (COPRAS) methods of multi-criteria decision-making techniques were applied. AHP determined the weights of various criteria using pairwise comparison, and COPRAS technique ranked the 10 warehousing startups on account of performance indicators. The study has been conducted at the warehousing startups of Bangalore, a hub of food warehousing startups. Findings The critical findings of the study revealed that these food warehouse startups attain improved productivity in terms of enhancing efficiency when implemented with IoT adoption. When evaluated using both AHP and COPRAS techniques, the combined results show WH5 as the best performing and WH10 as the least performing warehouse startups. Practical implications Warehouses that are embarking on their business opportunity in food storage can strategize to leverage the benefits of IoT in terms of food safety and security, capacity planning, layout design, space utilization and resilience. Originality/value Despite the numerous research works on food supply chain, the research on IoT in warehousing startups is limited. The rankings for the 10 food warehousing startups integrated with IoT using AHP-COPRAS approaches are the novelty of this work.


Proposed conceptual research model
PLS-SEM model results
Artificial intelligence – talent acquisition in HEIs recruitments

May 2024

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72 Reads

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5 Citations

Purpose The current research study aims to examine the application feasibility and impact of artificial intelligence (AI) among higher educational institutions (HEIs) in talent acquisitions (TA). Design/methodology/approach A systematic sampling method was adopted to collect the responses from the 385 staff working across the various levels of management in HEIs in metropolitan cities in India. JAMOVI & SmartPLS 4 were applied to validate the hypothesis by performing the simple percentage analysis and structural equation modelling. The demographic and construct variables considered were adoption, actual usage, perceived usefulness, perceived ease of use and talent management. Findings The key indicators of perceived usefulness are productivity, perceived ease of use, adaptability, candidate experience with the adoption of AI, frequency in decision-making in its actual usage and career path of development in the HEIs. These are the most influential items impacting the application of AI in TA. Originality/value AI has the potential to revolutionize TA in HEIs in the form of enhanced efficiency, improved candidate experience, more objective hiring decisions, talent analytics and risk automation. However, they facilitate resume screening, candidate sourcing, applicant tracking, interviewing and predictive analytics for attrition.




Role of Social Media in the Digital Transformation of Business

June 2023

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33 Reads

A digital transformation endeavor is the use of technology and digital processes to enhance business operations and consumer experiences. These projects frequently include the use of new technology like social media platforms, artificial intelligence (AI), and analytics, as well as the execution of digital processes like cloud computing, omnichannel commerce, data analytics, and automation. An organization needs to integrate digital transformation initiatives into its current systems if it wants to stay current with the rapidly evolving technology landscape of today. Social media is now an essential part of contemporary life, and businesses are increasingly using it to connect with their clients and other stakeholders. To take advantage of social media's huge potential, businesses are incorporating it into their digital transformation initiatives.


Algorithm trading and its application in stock broking services

March 2023

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384 Reads

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4 Citations

E3S Web of Conferences

Purpose: Algorithmic trading provides a more systematic approach to active trading than methods based on trader intuition or instinct. The aim of the study is to examine the level of awareness among the brokers when integrated with technology for the purpose of executing the trades. Design/Methodology: A self-administered and structured 350 questionnaires were designed and circulated to collect the preliminary information from the stock brokers operating in NSE and BSE within the geographical limits of Bangalore district using the Systematic Sampling method to obtain a sample size of 235. Awareness, Automated trading, Elimination of human error, portfolio management, tracking order, order placement were the critical variables observed to validate the hypothesis using Simple Percentage Analysis & Chi-Square Analysis using Statistical Analysis Software (SAS). Findings: It was found that there is robust association between the level of awareness of the mentioned technology in its application by the stock brokers of NSE and BSE operating in Bangalore. Portfolio management and automated trading are the highly associated application of Algorithmic trading among the stock brokerage services. Originality: Algorithmic trading makes use of complex formulas, combined with mathematical models and human oversight, to make decisions to buy or sell financial securities on an exchange. It can be used in a wide variety of situations including order execution, arbitrage, and trend trading strategies. Algorithmic traders often make use of high-frequency trading technology, which can enable a firm to make tens of thousands of trades per second.


Talent acquisition-artificial intelligence to manage recruitment

March 2023

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1,792 Reads

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18 Citations

E3S Web of Conferences

The research aims to examine the awareness of Artificial Intelligence among the HR managers and Talent Acquisition managers in the process of Talent Acquisition, Investigating the factors influencing the adoption and usage of Assisted Intelligence, and evaluating the impact of Artificial Intelligence on Talent Management. Multi-Stage sampling method was adopted to collect the responses from the 384 customers across the HR and TA managers working across the IT companies situated in Bangalore, Mysore, Pune, and Chennai & Hyderabad. SAS was applied to perform the Simple Percentage Analysis, Correlation Analysis, Multiple Linear Regression Analysis to validate the hypothesis. The demographic & construct variables considered were Adoption, Actual usage, Perceived usefulness, Perceived Ease of Use, & Talent Management. Awareness of the Artificial Intelligence technology and its adoption in managing Talent Acquisition has the positive and high correlation and followed by its actual usage. Candidate experience is the most influencing variable from the first factor, Competency and Easy to use is the most influencing variable from the second factor, Effectiveness in the adoption and actual usage of Artificial Intelligence in Talent Acquisition. Talent Management is the highest predictor of using the technology and its adoption is the most influencing predictor in the effective implementation of the technology among the Information Technology Companies.


Service Robots—An Innovative Sustainability in Rural Banking

January 2023

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85 Reads

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2 Citations

Journal of Service Science and Management

Citations (6)


... Beyond surveillance, drones significantly contribute to route planning in rock climbing and the design of courses in extreme sports. Hariharan et al. (2024) utilized drone-generated data to create detailed 3D maps of climbing sites, providing climbers with unprecedented insights into possible routes and their associated challenges. This approach not only improves safety by allowing better preparation but also enhances the strategic planning of climbs, which is essential in minimizing the risks involved. ...

Reference:

How to cite in APA
Advancements in Solar-Powered UAV Design Leveraging Machine Learning: A Comprehensive Review

E3S Web of Conferences

... But postharvest digitization which also involves a multilayered distribution network is plagued by many stumbling causes that arise during the transportation of agri-produce from farmers and organized frms. Tese barriers stem from the number of restrictions like fragmentation, dominance, and inadequacies faced by farmers and organized frms and implementation agencies like the government [7]. Moreover, IoT-based transportation for the farm-to-market ecosystem in India is also challenged by the technological factors related to devices, Internet networks, and data hindrances [6,8]. ...

Prioritizing evaluation criteria of IoT-driven warehousing startups: a silver lining to the unorganized sector in food supply chain
  • Citing Article
  • June 2024

The International Journal of Logistics Management

... he key indicators of perceived usefulness are productivity, perceived ease of use, adaptability, candidate experience with the adoption of AI, frequency in decision-making in its actual usage and career path of development in the HEIs. [10] In classroom teaching, teachers usually teach knowledge by teaching art theory, showing art cases and on-site demonstration, while students master the corresponding design skills through imitation, practice and project production. In the evaluation section, teachers make subjective judgment and feedback by viewing students' works and design process. ...

Artificial intelligence – talent acquisition in HEIs recruitments

... Customer satisfaction assumes paramount significance in the contemporary business landscape; the capability of a service provider to engender high satisfaction plays a pivotal role in product/ service differentiation and the development of enduring and robust customer relationships (Deng et al., 2010). In the r-service context, the current literature abounds with compelling evidence affirming the high significance of customer satisfaction across a spectrum of aspects within r-service commerce, such as customer acceptance (Huang et al., 2023;Soliman et al., 2023), continuance use (Lei et al., 2023;Morita et al., 2018;Moussawi & Koufaris, 2019), customer loyalty (Hariharan et al., 2023;Soliman et al., 2023), word-of-mouth (Lee et al., 2021;Morita et al., 2020), and satisfaction transformation (El-Said & Al Hajri, 2022;Jia et al., 2021). Given the profound importance of customer satisfaction in service interactions, the attainment of superior satisfaction among customers has emerged as a mission-critical strategy for service practitioners, standing as one of the foremost determinants in the pursuit of competitiveness and triumph within the volatile business landscape (Hanif et al., 2010). ...

Service Robots—An Innovative Sustainability in Rural Banking

Journal of Service Science and Management

... Computing power, data analytics, and machine learning algorithms have all played a role in this technological advancement. Algorithmic trading, often known as automated trading or Algo trading (AT), is the use of computer programs that execute transactions according to specified requirements [2]. AT strategies rely on mathematical models and algorithms to analyze market data and identify profitable trading opportunities [3]. ...

Algorithm trading and its application in stock broking services

E3S Web of Conferences

... Менака Р. [10] розглядає сучасні тенденції використання ШІ в управлінні персоналом, особливо підкреслюючи його роль у автоматизації рутинних завдань. Автоматизація рекрутингу та відбору персоналу відображено у роботах Ша Рі На [13] та Ведапрадха Р. зі співавторами [15], які дослідили специфіку автоматизації процесів добору персоналу, демонструючи потенціал ШІ у підвищенні ефективності рекрутингу. Значний внесок у практику цифровізації рекрутингу зробили автори статті у співавторстві з Перковою М. В. [8], систематизувавши існуючі ШІ-рішення для різних етапів рекрутингу. ...

Talent acquisition-artificial intelligence to manage recruitment

E3S Web of Conferences