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ENHANCING HUMAN RESOURCE MANAGEMENT PRACTICES IN MARKETING COMPANIES: THE ROLE OF IOT AND MACHINE LEARNING

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ENHANCING HUMAN RESOURCE MANAGEMENT PRACTICES IN MARKETING COMPANIES: THE ROLE OF IOT AND MACHINE LEARNING

ORDINARY APPLICATION

Published

date

Filed on 15 November 2024

Abstract

ENHANCING HUMAN RESOURCE MANAGEMENT PRACTICES IN MARKETING COMPANIES: THE ROLE OF IOT AND MACHINE LEARNING The method for the development of the Long-term success and prosperity are important to marketers and others who recognize the transformative potential of HRM practices enabled by the Internet of Things. Every aspect of life is greatly impacted by technology, including the many communication devices such as laptops, tablets, smartphones, and cell phones. Since people spend the majority of their time at work using internet-connected devices like smartphones and tablets, it is crucial to comprehend how the Internet of Things is affecting human resource management. By taking a comprehensive approach that incorporates both internal and external factors, this study provides insightful information for businesses looking to boost productivity, optimize operations, and accomplish their objectives more quickly. In today's fast-paced business environment, the results highlight the significance of a multifaceted approach that leverages technology breakthroughs and effective HRM techniques to drive organizational success. Industry 4.0, which is the production of goods and services with technical support, produces big data, the Internet of Things, and social components like an appealing workplace. The IoT's involvement in businesses and organizations, as well as in the management process, has altered the way HR operates.

Patent Information

Application ID202441088408
Date of Application15/11/2024
Publication Number47/2024

Inventors

NameAddressCountryNationality
Dinesh GAssistant Professor, Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu- 603203, Chennai, Tamilnadu, India.IndiaIndia
Dr. Ankireddy YenireddyAsst. Professor, Department of MBA, Narasaraopeta Engineering College (Autonomous), Narasaraopeta- 522601, Palnadu, Andhra Pradesh, India.IndiaIndia
Dr. Anil Kumar KanamarlapudiAssociate Professor, Department of MBA, Narasaraopeta Engineering College (Autonomous), Narasaraopeta- 522601, Palnadu, Andhra Pradesh, India.IndiaIndia
Dr Kamlesh Babu GautamAssociate Professor, Department of Commerce, Swami Shukdevanand College, Shahjahanpur 242001, Uttar Pradesh, India.IndiaIndia
Keerthana SSNS College of Technology, Sathy Main Road, Saravanampatti Post, Coimbatore, Tamilnadu, India.IndiaIndia
Sharanya TirunagariAssistant Professor,Department of AI&DS, Vardhaman College of Engineering, Kacharam, Narkhuda, Shamshabad.501218, Hyderabad, Telangana, India.IndiaIndia
Dr Sudhanshu MauryaAssociate Professor, Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, Nagpur, Maharashtra, India.IndiaIndia
Umang SharmaSr. HR Manager, HR Department, Chandigarh Group of Colleges, Jhanjeri, Mohali- 140307, Punjab, India.IndiaIndia
Gautam KatamalaAssistant Professor, Computer Science Engineering, Annamacharya Institute of Technology and Sciences, Tirupati- 517520, Andhra Pradesh, India.IndiaIndia
Abhendra pratap singhAssistant Professor, Mechanical Engineering, HMR Institute of Technology and Management, Northwest delhi, Delhi, India.IndiaIndia
R. RuthraAssistant Professor, Department of Civil Engineering, St.Joseph's College of Engineering, OMR, Chennai- 119, Tamilnadu, India.IndiaIndia
Jagadeesh NarayananAssistant Professor, Computer Applications, St.Peter's Institute of Higher Education and Research, Avadi, Chennai- 600054, Thiruvallur, Tamilnadu, India.IndiaIndia

Applicants

NameAddressCountryNationality
Dinesh GAssistant Professor, Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu- 603203, Chennai, Tamilnadu, India.IndiaIndia
Dr. Ankireddy YenireddyAsst. Professor, Department of MBA, Narasaraopeta Engineering College (Autonomous), Narasaraopeta- 522601, Palnadu, Andhra Pradesh, India.IndiaIndia
Dr. Anil Kumar KanamarlapudiAssociate Professor, Department of MBA, Narasaraopeta Engineering College (Autonomous), Narasaraopeta- 522601, Palnadu, Andhra Pradesh, India.IndiaIndia
Dr Kamlesh Babu GautamAssociate Professor, Department of Commerce, Swami Shukdevanand College, Shahjahanpur 242001, Uttar Pradesh, India.IndiaIndia
Keerthana SSNS College of Technology, Sathy Main Road, Saravanampatti Post, Coimbatore, Tamilnadu, India.IndiaIndia
Sharanya TirunagariAssistant Professor,Department of AI&DS, Vardhaman College of Engineering, Kacharam, Narkhuda, Shamshabad.501218, Hyderabad, Telangana, India.IndiaIndia
Dr Sudhanshu MauryaAssociate Professor, Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, Nagpur, Maharashtra, India.IndiaIndia
Umang SharmaSr. HR Manager, HR Department, Chandigarh Group of Colleges, Jhanjeri, Mohali- 140307, Punjab, India.IndiaIndia
Gautam KatamalaAssistant Professor, Computer Science Engineering, Annamacharya Institute of Technology and Sciences, Tirupati- 517520, Andhra Pradesh, India.IndiaIndia
Abhendra pratap singhAssistant Professor, Mechanical Engineering, HMR Institute of Technology and Management, Northwest delhi, Delhi, India.IndiaIndia
R. RuthraAssistant Professor, Department of Civil Engineering, St.Joseph's College of Engineering, OMR, Chennai- 119, Tamilnadu, India.IndiaIndia
Jagadeesh NarayananAssistant Professor, Computer Applications, St.Peter's Institute of Higher Education and Research, Avadi, Chennai- 600054, Thiruvallur, Tamilnadu, India.IndiaIndia

Specification

Description:ENHANCING HUMAN RESOURCE MANAGEMENT PRACTICES IN MARKETING COMPANIES: THE ROLE OF IOT AND MACHINE LEARNING

Technical Field
[0001] The embodiments herein generally relate to a method for enhancing human resource management practices in marketing companies: the role of IoT and machine learning.
Description of the Related Art
[0002] The Internet of Things (IoT), a paradigm-shifting technology at the center of this technological revolution, is altering conventional procedures in numerous industries worldwide. But in addition to improving business processes, these technological advancements have also led to a significant increase in market competition. Technology has a significant impact on the workplace and is crucial in transforming people's lives. The most fascinating idea that attracts media attention is the Internet of Things. IoT does not only alter people's lives at home; it also fundamentally alters how organizations manage their human resources and operate. In order to ensure that an organization's workforce is productive and efficient, human resource management is essential. To make sure that workers have the requisite abilities, drive, and levels of engagement in their positions, HR professionals focus on activities like hiring, training, performance reviews, and employee relations. The process of finding and choosing people who have the necessary training, expertise, and organizational culture is known as recruitment. The term "internet of things" (IoT) is currently very appealing to everyone who is involved with technology, including businesses and consumers. Technology has a significant impact on the workplace and is crucial in transforming people's lives. The most fascinating idea that attracts media attention is the Internet of Things.
[0003] The hiring of talent has also been impacted by the Internet of Things. It is altering the way that recruiting software and HR are thought of. Marketing firms may be able to adapt to changing consumer preferences with the use of Internet of Things-powered predictive modeling and analytics. We can find excellent candidates, improve assessments of cultural fit, and expedite onboarding. Prior to implementing IoT-based employee engagement initiatives, we believed that output and job satisfaction were unrelated. Marketing companies may benefit from smart workspaces, wellness initiatives that make use of wearable technology, and customized feedback systems. Smart devices, also known as connected devices or the Internet of Things (IoT), are physical devices, buildings, cars, and other devices that interact with one another. Software, sensors, networks, and actuators that can gather and exchange data are all integrated into the Internet of Things. People are adjusting to the rapid advancement of technology on a daily basis, whether at work or at home.
[0004] In managing employee relations entails resolving complaints, disagreements, and conflicts in order to promote a productive and upbeat work environment. HR managers can implement best practices like regular communication, recognition and rewards, opportunities for professional development, flexible work schedules, and an emphasis on work-life balance to increase employee engagement and job satisfaction. Smart devices, also known as connected devices or the Internet of Things (IoT), are physical devices, buildings, cars, and other devices that interact with one another. Software, sensors, networks, and actuators that can gather and exchange data are all integrated into the Internet of Things. People are adjusting to the rapid advancement of technology on a daily basis, whether at work or at home. IoT technology in HRM needs to be handled carefully because of privacy, data security, and ethical issues.
SUMMARY
[0001] In view of the foregoing, an embodiment herein provides a method for enhancing human resource management practices in marketing companies: the role of IoT and machine learning. In some embodiments, wherein the marketing organizations may find it easier to think through the fundamental strategic implications of the Internet of Things (IoT) if they adopt the Resource-Based View (RBV). RBV states that a company's unique combination of resources and expertise constitutes its competitive advantage. By integrating HRM with IoT, a company may be able to free up more resources that will increase overall organizational flexibility and efficiently contribute to the real-time accessibility of data insights. Although it is still in its infancy, the use of web things in academia and business can be viewed as a post-advancement of the fourth modern upset, or industry for short. In general, and HRM in particular, the IoTs are needed to monitor efficacy, security, impartiality without bias, and directness. Setting clear goals makes it possible to match organizational objectives with efforts, which eventually produces better results. Another effective strategy that promotes the efficient and successful completion of tasks is the delegation of responsibilities. Organizations can leverage the skills and abilities of their workforce and achieve better outcomes by assigning tasks to suitably qualified individuals. It is crucial to reduce distractions in order to create a focused workspace that encourages increased productivity. Although it is still in its infancy, the use of web things in academia and business can be viewed as a post-advancement of the fourth modern upset, or industry for short. In general, and HRM in particular, the IoTs are needed to monitor efficacy, security, impartiality without bias, and directness.
[0002] In some embodiments, wherein a helpful framework for assessing the reciprocal relationships between companies and their employees is provided by the Social Exchange Theory. Theoretically, it is comparable to a social transaction, wherein workers give their employers their best effort in return for rewards and chances for promotion. Through personalized feedback, incentive programs, and advancement opportunities, human resource management techniques can leverage the Internet of Things (IoT) to increase employee engagement, satisfaction, and loyalty. The study's key conclusions include the importance of talent managers and smart HR compliance for creative innovators, as well as the role of HR professionals as strategic business partners. Efficiency, productivity, and profitability are all refined and maximized as part of the improvement of operations within organizational frameworks. In order to achieve the organization's goals and objectives, this process comprises identifying and removing inefficiencies, simplifying processes, and making efficient use of available resources. Recruitment and determination, socialization, work plan, preparation and development, support, career development, performance evaluation, worker compensation, and job security are all in line with the best HRM practices. Human resource management helps to maintain a healthy relationship between the organization and its employees.
[0003] In some embodiments, wherein according to TAM, if new technologies are perceived as useful and simple to use, more consumers will adopt them. Human resource managers in marketing organizations will make decisions about whether or not to use IoT-driven HRM solutions based on factors like usability, integration with current processes, and value-added benefits. Understanding the factors influencing technological acceptance is crucial for HRM to make the most of the Internet of Things. Businesses can now connect, track, monitor, analyze, and evaluate both humans and machines in a digital structure thanks to the Internet of Things (IoT). Through driven applications, IoT helps businesses connect the population and deal with employees' personal and organizational devices as they look for work. Several steps can be taken to guarantee that businesses have the information they need to optimize their operations. First, companies should identify the key performance indicators that need to be monitored, like production efficiency, customer satisfaction, and worker productivity. This step makes it possible to track these metrics and make data-driven decisions to improve operations. To precisely and safely gather crucial data, businesses should then implement reliable data collection systems that include software tools, sensors, and other technologies. High-performing information technology aids in the proper maintenance of the evolution of human resource management. In order to continue transforming HRM into an attractive hiring process, digital technologies are being used more and more. With the aid of a digital HRM system, all HRM operations are technologically managed.
[0004] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.

BRIEF DESCRIPTION OF THE DRAWINGS
[0001] The embodiments herein will be better understood from the following detailed description with reference to the drawings, in which:
[0002] FIG. 1 illustrates a method for enhancing human resource management practices in marketing companies: the role of IoT and machine learning according to an embodiment herein; and
[0003] FIG. 2 illustrates a method for information communication network security processing scheme according to an embodiment herein.
DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
[0001] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0002] FIG. 1 illustrates a method for enhancing human resource management practices in marketing companies: the role of IoT and machine learning according to an embodiment herein. In some embodiments, the internet of things has opened up new possibilities, including improved data analytics, process automation, and a change in how businesses recruit and hire new staff. Recruiting solutions powered by the internet of things (IoT) reduce time-to-hire and increase organizational agility in responding to shifting market demands. These platforms reportedly make it simpler to onboard new employees, hire top talent, and assess applications more effectively. Now emerging as a market trend and technological advancement, the Internet of Things is a new trend in the technical field. Computer concepts, networks, and even sensors that aid in the monitoring and control of various devices make up the Internet of Things (IoT). According to the study, the Internet of Things has a significant positive influence on human resource management, which enhances the organization's working environment. The main goal of human resource management is to supervise employees in a company and make sure they are motivated, engaged, and productive. Workforce planning, performance management, employee relations, and job analysis are important HRM duties. HRM also includes managing benefits for employees, such as paid time off, retirement plans, and health insurance. The true advantages of distributed computing via IOT are agility and flexibility. Depending on how their business is used and developing, associations can certainly scale up or down the number of cloud-based resources they need. The most favored cloud advantage that associations are wagering on is functional deftness. The addition of the utilization and portability segment eliminates a great deal of desk work in HR.
[0003] In some embodiments, the smart workspaces, wearable technology, and personalized feedback systems are made possible by the Internet of Things (IoT), and they all enhance worker happiness, health, and engagement. Marketing firms can create customized wellness programs for their employees by tracking their blood pressure, heart rates, and other vitals in real time. Achieving a healthy work-life balance and managing stress are two of the main objectives of these courses. Using cost-effective solutions and giving HRM initiatives top priority can help manage scarce resources. Investing in training and development can help address skill shortages, and HRM practices that support diversity and inclusion can help manage a diverse workforce. Keeping up with evolving employment laws and regulations can be facilitated by reviewing policies and procedures on a regular basis and keeping up with industry developments. The biggest benefit of IOT computing technologies is that businesses don't have to spend money on unnecessary computer programs for training; instead, they can use shared resources on the cloud on a permanent basis and pay a usage fee. The ease with which the necessary software can be shared and implemented affects how well HR manages their preparation, including payroll management, enrollment, ability administration, and so forth.
[0004] In some embodiments, the Internet of Things (IoT) in performance management systems makes it possible for real-time data, feedback loops, and personalized incentive programs. According to, marketing firms can promote a growth mentality by replacing annual performance reviews with continuous feedback systems. As a result, sincerity, accountability, and transparency will flourish. The company and its workers will be able to produce more. Adopting efficient techniques is necessary to improve time management skills. First and foremost, setting precise priorities and goals is crucial for allocating time and resources to important tasks and goals. By dividing work into manageable chunks and preventing overcommitment, the use of schedules and timeframes facilitates prudent time management. Second, using productivity tools such as calendars, to-do lists, time-tracking apps, and project management platforms helps people and organizations manage their time effectively. For HR professionals, cloud computing and IOT can provide a number of advantages. IOT can assist in exchanging vast amounts of data about employees and their associated forms, which can lead to decision-making, the sharing of assumptions and experiences, and the creation of a more flexible and push-free work environment.
[0005] FIG. 2 illustrates a method for information communication network security processing scheme according to an embodiment herein. In some embodiments, to obtain numerical data, the marketing and human resources staff of the organization are surveyed. Devices connected to the Internet of Things will be used to monitor the project's HRM practices. Benefits, usability, employee engagement, enjoyment, and performance outcomes are important factors to take into account. Semi-structured interviews are frequently used by human resources executives and managers to obtain qualitative data. A wide range of viewpoints, challenges, and suggestions regarding HRM initiatives made possible by the Internet of Things are covered in the interviews. To guarantee representation from a range of industries and organizational sizes, the survey sample was chosen through the use of a stratified random sampling technique. After eliminating duplicate or missing entries, the final sample size for the quantitative analysis was 408, out of the 450 responses that were gathered. To find the main patterns and connections, the survey data were subsequently examined using regression modeling, correlation analysis, and descriptive statistics. Selection, training, survey execution, inspiration, remuneration, and other activities that support the organization's growth are all included in the human resource management handle. There are three management levels that the Human Asset Administration handles: top, middle, and low.
[0006] In some embodiments, the statistical techniques are employed in quantitative data analysis to evaluate research hypotheses and determine correlations among variables. Descriptive statistics, regression analysis, and correlation analysis are some of these techniques. We may discover information about organizational outcomes, IoT adoption rates, and trends in HRM practice by using mathematical formulas to assess the coefficients in regression models. Because of its ability to accurately predict non-linear relationships and promote quick network convergence, the non-linear sigmoid function was selected as the activation function, also known as the hypothesis function. The gradient descent algorithm was used to optimize the error function during the training phase. The input data was first normalized to improve the ANN's accuracy and convergence, and the final results were then denormalized to make sure they were within the acceptable range. At first, HR innovations-that is, HRM's tools, programming, and data-will be altered by the typical adoption of IoT in HRM. Second, the advancements also incorporate more significant modifications to HR exercises. In any event, a variety of powers influence these exercises. Third, it's anticipated that the IoT will also significantly alter HR entertainers' tasks and capacities.
[0007] In some embodiments, three ethical principles that researchers must constantly and steadfastly adhere to are informed consent, data protection, and confidentiality. You can be sure that all data will be anonymized and stored to preserve its confidentiality and privacy. We also promise to act morally at all times. This will also protect the privacy of participants. Similar to how Tesla uses IoT technology in its electric vehicles to gather performance and usage data for problem identification and future model improvements, Amazon uses IoT devices in its warehouses to optimize supply-chain logistics. In order to optimize planting and harvesting operations, John Deere has integrated the Internet of Things (IoT) into its agricultural equipment to gather data on temperature, soil moisture content, and other relevant factors. The Internet of Things (IoT) creates a global network of sensors and devices that are capable of establishing connections between various devices and people. It affects human resource management by assimilating the vast amount of HRM data. As a result, it provides HRM with the tools they can use to optimize agility, including the ability to create the workforce. In this sense, it provides the perfect balance of advanced fundamental skills like teamwork, agility, organizational progress, cognitive flexibility, and even creativity.


, Claims:1. A method for enhancing human resource management practices in marketing companies: the role of IoT and machine learning, wherein the method comprises;
tracking employee engagement through indicators like participation in meetings, collaboration frequency, and overall task completion rates, allowing HR teams to gauge engagement in real time;
analyzing IoT data from workstations, meeting rooms, and digital collaboration platforms, machine learning models are monitoring productivity patterns, helping HR understand peak productivity times and optimize workloads accordingly;
predicting employee turnover by analyzing patterns such as decreased productivity, lower engagement, and job satisfaction data, enabling HR to take proactive measures to retain valuable talent;
automating repetitive recruitment tasks like candidate sourcing, resume screening, and initial assessments, freeing up HR staff to focus on strategic hiring decisions and personal interactions with candidates;
analyzing employee performance and engagement data, machine learning is facilitating skill gap analysis, helping HR teams identify areas where employees might need additional training or development for more effective project execution;
tracking factors like workspace comfort, lighting, and temperature, and providing real-time feedback that HR can use to maintain optimal physical conditions that promote employee health and well-being; and
providing insights into employee collaboration patterns, helping HR to identify high-performing teams and optimize interdepartmental communication structures.

Documents

NameDate
202441088408-COMPLETE SPECIFICATION [15-11-2024(online)].pdf15/11/2024
202441088408-DECLARATION OF INVENTORSHIP (FORM 5) [15-11-2024(online)].pdf15/11/2024
202441088408-DRAWINGS [15-11-2024(online)].pdf15/11/2024
202441088408-FORM 1 [15-11-2024(online)].pdf15/11/2024
202441088408-FORM-9 [15-11-2024(online)].pdf15/11/2024
202441088408-POWER OF AUTHORITY [15-11-2024(online)].pdf15/11/2024
202441088408-PROOF OF RIGHT [15-11-2024(online)].pdf15/11/2024
202441088408-REQUEST FOR EARLY PUBLICATION(FORM-9) [15-11-2024(online)].pdf15/11/2024

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