01
Original Article
Open Access
Do Corporate Cash Holdings Matter for ESG Performance? Empirical Evidence from India
Bhavya Joshi, Himanshu Joshi
· pp. 8–24
DOI: 10.17010/pijom/2024/v17i10/173993
Purpose : The study investigated the relationship between a firm’s cash holdings and its ESG performance, recognizing environmental, social, and governance (ESG) as a driver of long-term value creation.Methodology : The study examined a sample of 98 Indian firms listed …
Keywords:
ESG performance, cash holdings, Indian firms, precautionary motive, slack resource theory
02
Original Article
Open Access
Exploring the Impact of Indian and Non-Indian Holiday Schedules on Organizational Stress
Soma Sharma, Sarbjit Singh Oberoi, Gayathri Band
· pp. 25–36
DOI: 10.17010/pijom/2024/v17i10/173994
Purpose : The study examined the impact of work-holiday schedules on organizational stress levels among Indian employees. We discovered the significance of sustainability reports in the minds of shareholders as a result of the increased importance of responding to global …
Keywords:
organizational stress, workplace stress, holiday schedule, work calendar
03
Original Article
Open Access
Financial Sustainability : The Influence of Internal Efficiency in Indian Commercial Banks
Smitisikha Guru, Priyabrata Panda
· pp. 37–55
DOI: 10.17010/pijom/2024/v17i10/173995
Purpose : The paper examined the relationship between internal bank efficiency and financial sustainability within the specific context of Indian commercial banks. The study aimed to provide empirical evidence on the determinants and consequences of internal bank efficiency and its …
Keywords:
financial sustainability, bank efficiency, performance, profitability, bank stability
04
Original Article
Open Access
A Hybrid Approach for Customer Segmentation and Loyalty Prediction in E-Commerce
Elamurugan Balasundaram, P. Aranganathan, Krishna Sudhir Annavajjala, R. Sivakumar, Mathiazhagan Arumugam, A. Vinoth
· pp. 56–69
DOI: 10.17010/pijom/2024/v17i10/173996
Purpose : This study aimed to enhance e-commerce customer segmentation and loyalty prediction by integrating machine learning (ML) with traditional statistical methods.Design/Methodology/Approach : The research adopted a hybrid approach, utilizing k-means clustering for customer segmentation based on recency, frequency, and …
Keywords:
customer segmentation, loyalty prediction, e-commerce, k-means clustering, XGBoost