Authors - Sapna B. Warghane, Ajay Pethe Abstract - Modern banking institutions recognize employee engagement and retention as critical to achieving long-term goals. These elements influence productivity, innovation, and customer satisfaction. Public and private sector banks adopt different strategies shaped by political culture, regulatory environments, and competitive dynamics. Public Sector Banks (PSBs) offer job security, structured career growth, and welfare benefits, fostering stability and long-term com-mitment. These factors contribute to employee motivation and consistent performance but may limit agility and innovation. In contrast, Private Sector Banks (PvSBs) emphasize performance-based incentives, career mobility, and a dynamic work environment. While these strategies enhance engagement and drive results, they can also lead to stress and higher employee turnover. Organizational culture, compensation, career development, work-life balance, and employee well-being play significant roles in shaping these outcomes. This review compares engagement and retention strategies across both sec-tors, identifying the strengths and challenges of each. A hybrid approach—combining financial rewards, career development opportunities, and wellness initiatives—is recommended to enhance satisfaction and commitment across the board. By refining these strategies, both PSBs and PvSBs can develop a more engaged and resilient workforce, ultimately supporting long-term organizational success and stability.
Authors - Jannat Khair Chowdhury, S. M. Saikat Hossain, Farzana Sadia, Mahady Hasan, M. Rokonuzzaman, Marufa Akter Abstract - Developing an effective marketing strategy is crucial for the success of Software-as-a-Service (SaaS) businesses, given the dynamic and competitive nature of the market. This systematic literature review looks at major tactics including pricing structures, client acquisition and retention, and digital technologies. It emphasizes the problems of transferring academic findings to industry, with an emphasis on data-driven solutions such as hybrid pricing, freemium models, and tailored content. The report provides recommendations for optimizing SaaS marketing to promote scalable, long-term growth.
Authors - Juan Mejia, Valentino Galindo, Edgar Ramos, Donovan Fuqua Abstract - This study proposes a conceptual model that integrates advanced supply chain planning to enhance supply chain resilience and sustainability. Drawing from previous literature, the study explores how such planning approaches contribute to strengthening supply chains and improving long-term operational stability. The model is developed through a structured review of academic sources and expert perspectives, with an emphasis on theoretical alignment and systemic relevance. Using the Best-Worst Method (BWM) as a decision-making framework, the paper outlines key factors that may influence effective resource allocation and disruption management. While no empirical validation is conducted, the study highlights potential criteria for improving operations, particularly in terms of reducing disruptions and optimizing resource use. This work offers a foundation for future empirical research and supports ongoing discussions on resilient and sustainable supply chain strategies.
Authors - Divya Saleela, Reshma Lucos, Reji R, Teena Joseph, Shyna A, Chinchu M S, Hashna Rasheed, Arjun Rajesh Panicker Abstract - The automatic classification of mental health-related textual data is essential for enabling scalable and proactive psychological support. This study employs a fine-tuned BERT-base transformer model categorise statements into seven clinically relevant mental health conditions. The model was evaluated using a publicly available dataset from Kaggle and assessed with standard performance metrics, including accuracy, precision, recall, specificity, and F1-score. Achieving an overall accuracy of 90.00 per cent, the model demonstrated strong generalisability across a linguistically diverse and imbalanced corpus. The highest classification performance was achieved in the Normal, Depression, and Suicidal categories, with satisfactory results obtained for less frequent classes. These findings highlight the effectiveness of transformer-based architectures in mental health text classification and support their potential application in digital screening and early intervention systems.
Authors - Gokul B, Arumugam Balasubramanian Abstract - Climate change and sustainable ecosystem are gaining momentum in the public domain. Innovative technology is steering towards environmental protection enabled products and processes. Tata motors have captured the public imagination by lining up green vehicles with clean fuel. In order to accelerate the adoption of this innovative product they have embarked on an advertising campaign that not only caters to product marketing but also satisfies their inner desire towards contributing their might in the green initiatives. To this end, content analysis is used as a methodological tool to examine whether archetypal advertising strategies align with Tata Motors’ goal of promoting innovation in a sustainable manner. Analysis has come out quite clearly that archetypal advertising strategy are put to effective use to successfully kindle their desire and satisfy the consumers motivation towards adopting automotive innovation in the context of green commerce.
Authors - Asra Fatema Zakir Baig, Amol Mashankar Abstract - Women in business leadership must be empowered through promotion of diversity, innovation, and sustainable growth. Conceding that there have been noticeable gains, women remain way behind in their quest for leadership positions, due to multifaceted barriers, such as systemic biases, limited access to their networks, and societal expectation; this paper discusses the organizational culture and its gender-based stereotypes and the lack of mentorship, which hold back women's advancement in business leadership. Further, it goes on discussing the various opportunities that now come forth from women's leadership empowerment, further focusing on the advantages of a diverse leadership team: better decision-making and improved performance for companies. Through real examples of best practices, the authors demonstrate which organizations have applied some of the best diversity and inclusion strategies followed by positive results from investing in women's leadership development. The paper speaks to actionable strategies an organization can employ in addressing the challenges and seizing the opportunities available. It focuses first on creating an inclusive workplace culture followed by starting out with mentorship and sponsorship programs, targeted training and development. And finally work arrangements and others that also involve policies that support work-life balance and equal pay and works continually in amplifying the need for systemic change in creating an environment that avails women's advancement. Finally, women's empowerment in business leadership is more about equity and strategic advantage as a group for organizations to leverage benefits. In the end, embracing diversity in leadership can help unlock potential, drive innovation, and develop a resilient workforce for businesses. This paper, therefore, calls for collective efforts from stakeholders across all levels to advance women's leadership and pave the way for unlocking the silos of barriers in the business world.
Authors - Sazzad Hussain Farhaan, Tanvir Hussain Himel, Ahsanul Kaiser, Md. Nayon Ali Abstract - Utilising digital technology is more crucial than ever, especially social media, to address urgent societal issues and encourage creative solutions. Since traditional infrastructures and resources may be few in underdeveloped nations like Bangladesh, social media provides an affordable and easily accessible avenue for impact, creativity, and collaboration. This strategy continues the heritage of Grameen Bank and Dr. Muhammad Yunus, who pioneered creative social entrepreneurship through microfinance. The use of social media to promote social entrepreneurship in Bangladesh is examined in this qualitative study. Based on 20 in-depth interviews with people involved in social entrepreneurship, the study explores how digital platforms may support social transformation, especially in environments with limited resources. Purposive sampling was used to choose participants, guaranteeing that they had at least a year of experience utilising social media for social entrepreneurship. Social media is a vital tool for outreach, community involvement, fundraising, and creating awareness, according to the findings. By overcoming conventional obstacles, it enables business owners to reach a larger audience and rally support for social causes. Future research can be done on digital infrastructure, and community participation affect social media’s ability to promote social entrepreneurship.
Authors - Radhika V. Kulkarni, Spandan Papade, Yash Paryani, Saniya Patil, Rahul Madhawani, Prakash Sharma Abstract - Governments worldwide actively support entrepreneurs tackling pressing social issues, aiming to boost economic opportunities for all, generate employment, and accelerate tech-driven progress. Unfortunately, some recipients exploit these funds for personal gain, sidelining projects that could otherwise drive fair governance, community welfare, and environmentally conscious industries. Manually tracking thousands of funded startups is inefficient, allowing dis-honest actors to slip through the cracks. This study introduces an AI-powered solution to bridge this gap. The system scans public data—such as LinkedIn activity and online footprints—to identify red flags, like founders holding jobs un-related to their funded ventures. Advanced language analysis and pattern recognition techniques assess how closely a founder’s current work aligns with their original proposal, simplifying oversight while fostering synergy between public programs and modern technology platforms. By promoting fairness, transparency, and accountability, the system supports several United Nations Sustainable Development Goals, including SDG 8: Decent Work and Economic Growth, SDG 9: Industry, Innovation, and Infrastructure, and SDG 16: Justice, and Strong Institutions. It enables governments to channel resources more effectively to innovators committed to creating lasting social value.
Authors - Ashiqha Sultana, Kalyani Suresh Abstract - Sustainable fashion apparel purchase on Instagram has utmost importance in recent times, as Indian consumers are currently influenced by many factors that finally lead them to purchase intention. This paper tries to examine and explore the Indian consumer mindset towards sustainable fashion apparel on Instagram and the connection between demographics and consumer identity of the consumers with the sustainable constructs. Responses were taken from 100 respondents using snowball sampling from different parts of India. Results of the study show that there is a significant association between demographics, patterns of interacting with sustainable fashion apparel on Instagram, and Consumer Identity. The study also reveals the strong connection between Indian consumers and purchase intention, consumer identity, sustainable constructs, purchase behaviour, and Instagram motivation.
Authors - Sapna B. Warghane, Ajay Pethe Abstract - Artificial Intelligence (AI) has had a significant effect on decision-making in business by providing data-driven decision-making, improving efficiencies and decision-making accuracy. This literature review will elaborate on the impact of Artificial Intelligence on decision-making in business and its various components, such as predictive analytics, automation, risk management, marketing personalization, strategy, etc. It will also explore issues, ethics, and future prospects of AI in business-related decision-making. AI has already been adopted in various industries, including finance, healthcare, retail, and manufacturing, to increase efficiencies and optimize operations while attempting to optimize the customer experience. On the other side of AI, increasing utilization creates other challenges about bias, security, and regulatory compliance must be considered in the sustainable growth of AI in business.
