International Journal of Research in Innovative Multidisciplinary Studies

An Analysis of Recruitment-Selection Process At Webhelp and Concentrix India Private Limited
Umang Singh, Dr. Amarjit R Deshmukh, Yashwant Kumar, Rohtash Kumar
Institute of Management and Research, Bharati Vidyapeeth (Deemed to be University)

Enhanced recruitment and selection strategies are pivotal for organizational success. The study utilizes Person-Organization Fit (P-O) theory and Social Exchange Theory to shed light on these processes, particularly within Webhelp and Concentrix India Private Limited, to understand their impact on organizational outcomes. This study identifies common practices utilized in recruiting and selecting employees, emphasizing their significance in human resource management's initial stages. Recruitment and selection are integral to managerial staffing, where scientific methodologies ensure appropriate candidate placement. Shifting away from traditional, arbitrary selection approaches, organizations now embrace systematic and rational methods. This transition underscores the importance of aligning individual employee and organizational long-term interests. By meticulously selecting individuals who embody organizational values and goals, both parties benefit mutually. Thus, the paper emphasizes the need for strategic recruitment and selection practices to cultivate efficient, capable, and loyal employees, ultimately driving organizational success.

Keywords: Recruitment, Selection, Human resource management

Driving Proactive Growth: Leveraging Predictive Customer Relationship Management (CRM) at Allengers Medical Systems Ltd
Sumit Kumar, Dr. Amarjit R Deshmukh, Yashwant Kumar, Dr. Rohtash Kumar
Institute of Management and Research, Bharati Vidyapeeth (Deemed to be University)

This study investigates the efficacy of leveraging predictive Customer Relationship Management (CRM) strategies for proactive strategy enhancement at Allengers Medical Systems Ltd. Through a mixed-methods approach combining quantitative analysis and qualitative inquiry, predictive CRM models are developed, validated, and applied to forecast future customer outcomes. Performance metrics, including mean squared error, root mean squared error, mean absolute error, and R-squared coefficient, demonstrate the accuracy and generalizability of the predictive models. Scenario analysis highlights the potential impact of different CRM strategies on customer satisfaction, loyalty, and return on investment. Qualitative insights from stakeholder interviews provide context and nuance regarding the practical implementation and impact of predictive CRM strategies. The findings underscore the importance of leveraging predictive CRM for sustainable growth and competitive advantage in the medical systems industry.

Keywords: CRM, Allengers Medical, Predictive Modelling, Customer Relationship Management

Enhancing Employee Performance Through Customized Training and Development Campaign – a Case of Accenture Solutions
Reetika Dubey, Dr. Amarjit R Deshmukh, Yashwant Kumar
Institute of Management and Research, Bharati Vidyapeeth (Deemed to be University)

The study examines the intricacies of training programs within Accenture Solutions, emphasizing the importance of clear communication, alignment with participant needs, continuous evaluation, investment in high-quality resources, and optimal session duration and frequency. Findings reveal a nuanced landscape where participants express varying levels of engagement, perceptions, and preferences towards training initiatives. While a significant portion of participants acknowledges the relevance and effectiveness of training, areas for improvement, such as clarity of objectives, sufficiency of session duration, and the need for diverse learning opportunities, are identified. The study underscores the necessity for organizations to foster a culture of continuous learning and adaptation, leveraging feedback and data-driven insights to refine training strategies. By investing in robust communication channels, innovative resources, and flexible delivery methods, organizations can enhance engagement, skill acquisition, and overall effectiveness of training initiatives. Ultimately, aligning training programs with participant needs and organizational objectives is paramount for driving performance improvement and ensuring long-term success in a competitive business landscape.

Keywords: Accenture Solutions, Customized Training, Development Campaign, Employee Performance

Evaluating Influence of Advertising on Sales Performance at Utsaah Psychological Services
Abhimanyu, Dr. Amarjit R Deshmukh, Yashwant Kumar
Institute of Management and Research, Bharati Vidyapeeth (Deemed to be University)

This study investigates the impact of advertising initiatives on sales performance at Utsaah Psychological Services Pvt Ltd, providing valuable insights into the dynamics of marketing strategies within the mental health services sector. Through a mixed-methods approach encompassing longitudinal analysis, comparative assessments, and return on investment (ROI) analysis, this research endeavors to unravel the efficacy and efficiency of advertising endeavors in driving revenue growth and enhancing overall business outcomes. The findings reveal a significant increase in average monthly revenue, client volume, and profitability subsequent to the implementation of advertising campaigns by Utsaah Psychological Services. Comparative analyses between the experimental and control groups underscore the differential impact of advertising exposure on sales effectiveness, emphasizing the importance of targeted advertising strategies tailored to specific customer segments. Additionally, a robust ROI of 500% derived from the ROI analysis validates the cost-effectiveness and efficiency of Utsaah's advertising initiatives. While the study contributes valuable insights into the interplay between advertising and sales performance, certain limitations, including the confined scope and reliance on quantitative data analysis, warrant acknowledgment. Nonetheless, the findings offer actionable intelligence for Utsaah Psychological Services to refine its advertising strategies, optimize resource allocation, and enhance overall sales effectiveness, thereby solidifying its competitive position in the mental health services marketplace.

Keywords: Advertising, Sales Performance, Utsaah Psychological

Using Neuroeconomics to study Emotional Valence at Icon Metal Marketing Pvt. Ltd
Amit Kumar, Dr. Amarjit R Deshmukh, Yashwant Kumar
Institute of Management and Research, Bharati Vidyapeeth (Deemed to be University)

This study delves into the complexities of emotional advertising effectiveness in industrial markets through the innovative use of advanced neuroeconomic models, machine learning algorithms, and network analysis techniques. The primary objective was to explore how emotional responses to advertisements influence brand perceptions, purchase intentions, and long-term business relationships among industrial decision-makers. Utilizing functional Magnetic Resonance Imaging (fMRI), Electroencephalography (EEG), and biometric sensors, we captured and analyzed real-time emotional and cognitive reactions to advertisements from Icon Metal Marketing Pvt. Ltd. Our neuroeconomic analysis revealed significant neural activations in the amygdala and prefrontal cortex, elucidating the neural underpinnings of emotional engagement. Concurrently, machine learning algorithms were instrumental in processing and interpreting the extensive neuroimaging and biometric data, enabling the prediction of emotional engagement levels and the optimization of advertising content. Furthermore, our network analysis provided a detailed visualization of emotional contagion effects across industrial buyer networks. By identifying key influencers and mapping emotional pathways, we gained insights into how emotional engagement amplifies and shapes collective brand perceptions. This approach allowed for the strategic deployment of emotionally resonant content, enhancing the impact of advertising campaigns across diverse industrial sectors. The findings suggest that precision targeting and personalization of advertising content, informed by neural and biometric data, can significantly enhance emotional resonance and brand perception. Additionally, understanding network dynamics and emotional contagion effects offers a powerful framework for optimizing advertising strategies and fostering long-term business relationships.

Keywords: Neuroeconomics, Emotional Valence, Advertisement, Icon Metal, Consumer Engagement

Neuro-AI and Blockchain: Transforming Bias-Free Recruitment and Selection
Komal, Dr. Amarjit R Deshmukh, Yashwant Kumar
Institute of Management and Research, Bharati Vidyapeeth (Deemed to be University)

This study explores the integration of neuro-artificial intelligence (neuro-AI) and blockchain technologies in revolutionizing recruitment practices across diverse organizational contexts. Neuro-AI algorithms leverage advanced neuroimaging tools and machine learning to provide objective assessments of candidates' cognitive and behavioral traits, surpassing traditional methods reliant on subjective evaluations. These algorithms enhance predictive accuracy by analyzing real-time brain activity patterns, offering nuanced insights into candidate capabilities such as problem-solving skills and emotional intelligence. In parallel, blockchain technology secures and verifies candidate credentials through a decentralized and tamper-proof ledger, mitigating risks of credential fraud and enhancing transparency in recruitment processes. The study concludes by outlining opportunities for future research, including enhancing technology accessibility, optimizing blockchain scalability, and further exploring long-term organizational impacts. By embracing neuro-AI and blockchain technologies responsibly, organizations can transform recruitment practices, foster diversity, and make informed hiring decisions based on merit and potential rather than traditional biases.

Keywords: Neuro-AI, blockchain technology, recruitment practices, bias mitigation

Evaluating Effectiveness of Automotive Marketing Campaigning at Bajaj Ltd
Jai Aggarwal, Dr. Amarjit R Deshmukh, Yashwant Kumar
Institute of Management and Research, Bharati Vidyapeeth (Deemed to be University)

This study investigates Bajaj Ltd.’s marketing strategies focusing on segmentation, targeting, positioning, and comprehensive market analysis. Bajaj Ltd. employs rigorous segmentation methods based on demographics, psychographics, and behavior to identify distinct consumer segments. Targeting strategies prioritize high-potential segments, aligning marketing efforts with consumer preferences and market dynamics. Effective positioning strategies emphasize differentiation and value propositions that resonate with targeted groups, bolstering brand perception and competitiveness. Results highlight Bajaj Ltd.'s achievements in expanding market share, achieving revenue growth, enhancing brand awareness, and improving customer loyalty metrics through strategic marketing initiatives. Rigorous ROI analysis underscores the company’s adeptness in maximizing profitability while maintaining competitive pricing. The study identifies challenges in data accuracy, dynamic market shifts, and opportunities for further exploration in global expansion, technological integration, and enhanced customer engagement strategies. Addressing these areas can reinforce Bajaj Ltd.’s market position and sustain growth in the competitive automotive industry.

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Keywords: Bajaj Ltd., marketing strategies, segmentation, targeting, positioning, market analysis, automotive marketing