Browsing by Author "Chheda, Kajal"

Now showing 1 - 6 of 6
  • No Thumbnail Available
    Item
    AI-Powered Human Resource Management for Enhancing Employee Recruitment Efficiency and Talent Retention in Organizations
    (Management (Montevideo), 2025-01-12) Chheda, Kajal
    Artificial Intelligence (AI)-powered Human Resource Management (HRM) systems address inefficiencies in recruitment and employee retention. Traditional methods are slow, biased, and reactive. Integrating AI enables predictive insights, automated screening, and employee satisfaction monitoring, transforming HR practices into data-driven, strategic decision-making processes. This research aims to evaluate the impact of AI on improving recruitment efficiency and talent retention. It investigates whether AI-based tools significantly reduce hiring time, enhance job candidate fit, and predict attrition risk. Data was sourced from 1,000 anonymzed employee records, including 400 resumes, 280 satisfaction responses, and 320 attrition cases across the IT and finance sectors. Collected over a three-year period, the dataset supports recruitment analysis and employee retention prediction using AI-based models. Five variables were analyzed: recruitment time (RT), candidate-job match score (CJMS), employee satisfaction score (ESS), retention rate (RR), and AI-predicted attrition risk (APAR). These variables represent both continuous and ordinal data types, suitable for independent sample t-tests and regression analysis in SPSS 25. SPSS analysis showed significant reductions in recruitment time (p < 0,01) and improvements in job match scores. Among independent sample t-test results, the highest t-value was observed for CJMS (t = 22,15, p < 0,001). Spearman’s correlation indicated a strong positive link between satisfaction and retention. Regression analysis confirmed high predictive accuracy of AI-based attrition risk models. In regression findings, APAR had the highest R² value (R² = 0,42, p < 0,001). AI-powered HR systems significantly enhance recruitment efficiency and retention strategies. Statistical evidence confirms the effectiveness of AI in predicting attrition and improving candidate-job alignment, enabling organizations to make proactive, data-informed HR decisions and foster a more stable workforce.
  • No Thumbnail Available
    Item
    An Exploration of Marketing’s Impacts on Influencing Consumer Behavior and Society
    (Journal of Informatics Education and Research, 2023) Chheda, Kajal
    Marketing is an old skill that has been performed in some way or another since the days of Adam and Eve. Marketing is pervasive in today's society; it pervades almost every activity we do and every aspect of our lives. Marketing is a process. Marketing actions and tactics result in the availability of goods that please consumers while also profiting the businesses that sell them. Your morning tea, newspaper, breakfast, the outfit you put on for the day, the vehicle you drive, the phone in your pocket, the quick lunch you have at the fast-food joint, the PC at your desk, your internet connection, your e-mail ID, almost everything you use and everything in your environment has been influenced by marketing. Marketing has left an impression on them all, which may be obvious or subtle depending on the product and context/experience. However, it is very much present. The majority of your everyday actions are influenced by marketing. Marketing is a pervasive force. The technology-based global competition environment that pushes businesses to constructive transformation in order to ensure customer satisfaction has further increased the importance of marketing capabilities in business strategies. A significant number of studies conducted in different countries have shown that marketing spending is an investment that creates value for the company and has a positive impact on firm profitability, firm value or firm sales. This study contributes to the literature by summarizing the research findings on the effects of marketing investments on business performance. The relationship between market share and profitability has been widely discussed. Our findings suggest that businesses with relatively large market shares tend to have above-average rates of investment turnover, particularly working capital. Also, the ratio of marketing expense to sales is generally lower for high-share businesses than for those with small market shares. These differences are indications of economies of scale that may go along with strong market positions.
  • No Thumbnail Available
    Item
    Artificial Intelligence in Marketing Management: Personalization and Consumer Insights
    (Advances in Consumer Research, 2025) Chheda, Kajal
    The use of artificial intelligence (AI) is making things more personalized for people. Data helps companies learn more about their clients and decide what to do. It's getting too hard to handle all the customer information we have. Brands can learn what their customers like and don't like, guess how they'll act, and improve their experiences with AI-based tools. This talk will look at how AI can be used in marketing to make things stand out and learn more about people. To make sure that every customer gets a unique marketing plan, people can use AI, data analytics, machine learning, and natural language processing (NLP). It's not always clear how open computers should be, what is right, or how to use AI in marketing. In the last part of the paper, the writers talk about the future of AI in marketing and how it might change the way companies talk to their clients.
  • No Thumbnail Available
    Item
    Exploring the Influence of Communication Mechanisms on Organizational Effectiveness and Employee Engagement
    (Management (Montevideo), 2025) Chheda, Kajal
    Introduction: effective communication mechanisms are vital for organizational success, influencing employee engagement and overall performance. Despite their importance, many organizations face challenges due to unclear or infrequent communication, which undermines trust and productivity. This research investigates the influence of communication mechanisms—including frequency, medium, formality, and clarity—on employee engagement and organizational effectiveness, with employee trust as a mediating factor. Method: data were collected through a structured survey administered to 171 employees across various sectors. The survey measured communication practices, employee trust, and engagement using a 5-point Likert scale. Statistical analyses, including regression analysis, were conducted using IBM SPSS version 25 to examine the relationships among variables. Results: the analysis revealed that communication frequency and clarity significantly enhance Economic success (ES), and Operational efficiency (OE). Regression results indicated a strong positive correlation between clear communication and employee engagement (p < 0,01). Two-way communication (TWC), Transparency of communication (TC), Communication consistency (CC)and Employee engagement (EE) also contributed to improved trust and engagement. Conclusions: findings highlight that communication clarity and frequency are critical drivers of employee engagement, facilitated by trust in communication. Organizations should prioritize enhancing communication quality and consistency to build trust, thereby fostering higher engagement and improved organizational effectiveness.
  • No Thumbnail Available
    Item
    Impact of Social Media Marketing Activities: the Meditation of Social Identification and Satisfaction
    (Educational Administration: Theory and Practice, 2024) Chheda, Kajal
    The effects of social media marketing engagement, Consumer satisfaction and the moderating role of social identification Marketspace membrane, An exploratory study of the direct-to-consumer digital marketing strategy A survey method has been used with 500 participants of social media, and the data have been analyzed with the help of quantitative analysis as well as qualitative analysis of the survey data set. The data on the marketing activity exposure has been moderate and ranged from 1. 40 to 6. 60 with a mean score of 3. 68 while social identification ranged from 1. 30 to 5. 80 with a mean of 4. 02 and Satisfaction with a range of 1. 30 to 6. 60 with a mean score of 3. 95. Statistical regression analysis showed that the parsed variable of satisfaction has been positively associated with marketing activities, (β = 0. 432, p < 0. 001). Additionally, the mediation test in which the stepped model of SEM has been used also confirmed the hypothesized mediating role of social identification in the relationship between exposure to marketing and satisfaction (Standardized indirect effect = 0. 256, SE = 0. 02; p < 0. 001). Key findings of nature also included a call for relevance and relevance of posts when it comes to generating relevant reactions and shares among the customers. In sum, the research investigates the essential role of social identification in the entire process of how social media marketing activities enhance or reduce customer satisfaction.
  • No Thumbnail Available
    Item
    Investigating the Landscape of Unorganized Retail Sector in India
    (Insights Management Review, 2024-02) Chheda, Kajal