Theme: RECENT ADVANCEMENT IN DIGITAL WORLD, ECONOMICS AND ENTREPRENEURSHIP
Guest Editor: Dr Sonu Dua, Dr Sakshi Dua, Dr Pawanpreet Kaur, Dr Inderpal Singh
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1. EMPIRICAL ANALYSIS OF THE IMPACT OF THE BUY-BACK ANNOUNCEMENT OF INDIAN IT COMPANIES ON ITS STOCK PRICE, ON THE NIFTY IT AND THE NIFTY 50 INDEX
Authors: OM PRAKASH PRASAD1 and NISHI MALHOTRA2
Abstract
Purpose - The study investigates the impact of the share buy-back of Indian IT companies on their share prices and the Nifty IT and Nifty 50 indices. The study tests the information signalling hypothesis in the Indian capital market. Design/methodology/approach - The research focuses on the period from January 1, 2013, to December 31, 2023. A 40-day event window is analysed, covering the 20 days leading up to and the 20 days following the buy-back announcement. Applying the market-adjusted model, a 90-day estimation window before the event window is used to calculate abnormal returns during this time. Findings - The study finds that buy-back announcements positively impacted stock prices in 80% of cases—however, the abnormal return phases out in 20 days. Further, the AAR & CAR against NIFTY IT and Nifty 50index have been mixed. Originality - Our study is unique as it studies the impact of share buy-back announcements by Indian IT companies on their share prices and the Nifty IT and Nifty 50 indices. No earlier study has investigated the effect of share buy-back on sectoral index and main index movements. Research limitations/implications - Further work may be done considering the buy-back route, premium, frequency, previous history market sentiments, and capitalisation. Practical implications - Our study will help investors to make suitable investment decisions in a company before, during, and after the buy-back to maximise return and minimise loss. Policymakers can use this information to assess the equity implications of corporate actions like share buy-backs and enact policies to protect the interests of retail investors. Corporations can optimise their timing and communication around buy-backs so that market participants take their actions positively.
Keywords: Share Buy-back, Stock dividend, Event study, Abnormal return, Ordinary Least Square.
2. CLINICIAN PERCEPTION AND READINESS FOR USE OF TELEMEDICINE TECHNOLOGY WITH RESPECT TO SOUTHERN HARYANA
Authors: VIRENDER SOROUT1 and Dr. VAISHALI SHARMA2*
Abstract
Telemedicine is disseminating health-related information and services using electronic technology and telecommunications. Telemedicine enables long-distance patient-clinician communication and care as well as reminders and education. It also permits remote admissions. Health care providers, patients, and the public may benefit from easier access to information via Telemedicine. Telehealth is frequently considered to save the health care system money because of its digital nature. However, there is a wide range of data to back this claim. In performing economic assessments of telehealth services, the personnel assessing them must be informed of the possible results and extra clinical advantages of the telehealth service. There are serval benefits of Telemedicine. During Covid-19, Telemedicine has become a huge platform for patients to interact with physicians with satisfactory telemedicine services. This review paper focused on Telemedicine, its advantages and disadvantages, its importance, and patient satisfaction.
Keywords: COVID-19, Healthcare, Patients, Technology, Telemedicine
3. ORGANIZATIONAL AGILITY – DIGITAL TRANSFORMATION – CASE STUDY OF SELF-HELP GROUPS THROUGH IMPLEMENTATION OF PAYSE FATEHBAD HARYANA
Authors: Dr. NISHI MALHOTRA
Abstract
During the recent pandemic COVID 19, with the imposition of social distancing norms and COVID-19 restrictions technology played a critical role in ensuring that people at the bottom of the pyramid have access to financial services. Micro borrowers lack physical collateral, and the lender does not know their creditworthiness. Technology can help reduce information asymmetry and provide local access to financial services at lower transaction costs. There is a need to change the behaviour and attitudes of the poor toward adopting technology. In this study, the theoretical lens encompassing the Technology Acceptance Model, Enterprise Agility Model, and Dynamic Punctuated Equilibrium was deployed to study the technological transformation of the self-help groups in Fatehabad Haryana, India. During COVID-19, the technological transformation enhanced the performance of these groups. Moreover, agile groups were better able to adopt the technology. However, to improve agility and technology acceptance, there is a need for social intermediation.
Keywords: Case Study, Technology, Organizational Learning, Change Management.
4. SCALABILITY AND ENTREPRENEURIAL CHALLENGES AMONG SLOW-FASHION COMMUNITY: AN INVESTIGATIVE EXPLORATION
Authors: PREETI KALYAN1* and PUNIT MORIS EKKA2
Abstract
Current study explores the challenges which a front & centre worker of slow-fashion industry faces. Slow fashion is a philosophy of awareness to stakeholders' demands and the influence of fashion manufacturing on workers, consumers, and ecosystems. And the handloom weaving is such type of sustainable practice. A thematic analysis revealed 11 challenges and potential area of future research. A thorough in-depth interview has been conducted. We established a comparative evaluation Matrix to identify pertinent threats. This study has UN SDG focused consequences and provides future avenues for further research. Slow fashion industry is depleting with time. Findings highlights that despite the growing demand for sustainable and eco-friendly fashion weavers and master weavers face challenges. Major challenges include wages, social status, infrastructure, supervision, and lack of job satisfaction. Government industry and civil society must work together in order to confront these challenges. This is the very first such type of qualitative study ever conducted as per the knowledge of the authors. The slow fashion handloom is a viable and alternate solution to such an extensive energy demanding sector as textile. Slow fashion aspires to offer meaningful, sustainable products that meet stakeholder demands.
Keywords: Challenges, Community, Sustainability, Marginal Workers, Economic
5. AI IN E-COMMERCE: AN EMPIRICAL ANALYSIS OF CONSUMER’S TRUST AND PURCHASE BEHAVIOUR
Authors: SAUMYA SATIJA1 and ASHIM RAJ SINGLA2
Abstract
Artificial Intelligence (AI) is revolutionizing the e-commerce sector by enhancing personalization, boosting consumer service, optimizing pricing, and advancing fraud detection systems. Despite its growing prevalence, customer’s trust and perceptions regarding AI applications remain underexplored, especially in emerging markets like India. This study explores how AI-powered features affect consumer’s trust and purchasing behaviour by investigating variables like AI awareness, privacy concerns, dynamic pricing, customer support, and fraud detection. The study surveyed 185 online shoppers in Delhi NCR using a structured questionnaire and SmartPLS was used for carrying data analysis. The results reveal that AI-powered customer support and fraud detection significantly strengthen customer trust, while AI-enabled dynamic pricing also contributes positively. Contrary to expectations, privacy concerns and AI awareness do not considerably impact trust. Moreover, “Trust in AI” emerged as a strong predictor of customer’s purchase behaviour. These conclusions offer practical implications for creating customer-centric AI systems and highlight the importance of balancing personalization with transparency.
Keywords: Artificial Intelligence (AI), E-Commerce, Customer Perception, Customer Service, Trust, AI Powered Personalization, Fraud Detection, Data Privacy, Purchase Behaviour.
6. EMPLOYEE CONTRIBUTION TO PROFITABILITY: A COMPARATIVE ANALYSIS OF PRIVATE AND PUBLIC SECTOR BANKS USING PANEL DATA
Authors: Dr. TUSHAR RANJAN PANIGRAHI1, Dr. PREETI KULSHRESTHA2*, Dr. SUNITA MALL3 and Dr. NEHA SHARMA4
Abstract
This study evaluates the contribution of employees to the overall profitability of selected public and private sector banks. The present study covers panel data of the last 12 years of top five banks in each category, ie., public sector banks and private sector banks. Interest income (II) and business per employee (BPE) are predicted to explain the dependent variable net profit per employee (NPPE). The results demonstrate that public sector bank staff are less motivated to turn business into higher interest revenue, which lowers NPPE. This implies that NPPE in public sector banks is influenced by variables other than interest income. It reveals management's lack of a sense of ownership and insufficient staff incentives to increase revenue through interest income which is a key explanatory factor for NPPE. In contrast, private sector banks exhibit stronger operational benefits, leading to higher NPPE despite lower BPE.
Keywords: Profitability, Net Interest Income, Net Profit Per Employee, Business Per Employee, Employee Contribution.
7. NAVIGATING UNCERTAINTY: THE RISING ROLE OF FINANCE AND AI GIG PROFESSIONALS IN EMPOWERING EDUCATION ECOSYSTEM IN THE INDUSTRY 5.0
Authors: Dr. RITU WADHWA1, Dr. ABDUL QADIR2 and Dr. DEEPAK SINGH3
Abstract
Purpose: The 21st century is marked by a changing landscape at workplace and future of jobs is predicted to be fairly different from contemporary days (Kim, et.al., 2017). Due to uncertain times, (pandemic and post pandemic days), there has been a conundrum that the institutions, societies and governments face with a high levels of youth unemployment on one hand, and a shortage of professionals with industry-required critical skills, on other (Blustein et.al., 2020). A significant shift in India's workforce is now being addressed by the gig economy, which is visibly growing rapidly, and the need of financial education, empowered by AI skills among youths is the call of the hour. This study is dedicated to the analysis of the Industry 5.0 skill requirements, UN Sustainable Development Goals, the growing importance of financial education and AI skills among youths to shape the teaching-learning ecosystem of future. Design: A thematic analysis of qualitative data has been done to bring forth the elements of learning-ecosystem for learners at secondary level, identify stakeholders and leverage the rising pool of gig-professionals for designing an integrated framework using semantics databases for Industry 5.0. The UNSDG was probed into to act as a fulcrum to design the model. An in-depth study of rising gig economy trends in India and the need of upskilling with the financial and AI competencies among learners for productive outcome was taken into this research. Findings: The research unlocks the resource entities that exists in the value chain of teaching-learning process at the secondary education level. It is required to build in the skill set for future employability in India. The research proposes a conceptual model that links the major entities of teaching-learning ecosystem on one side and available resources on other side with the pivotal role of financial and AI gig professionals, to address the challenges of employability for Industry 5.0. Practical Implications: The study seeks to offer a solution to challenges faced by learners towards attaining employable skills for Industry 5.0. It thereby addresses the skill development mechanism as well as productive utilization of a rising pool of Gig professionals armed with financial and AI competencies, especially during the current turbulent days of global economy. Social Implications: The proposed model is expected to serve the identified stakeholders facilitating development of a sustainable learning ecosystem to employ the available resources towards achieving developmental goals outlined by UN to meet India’s aspiration of being a global guru. Originality: This study differentiates as being among a very few research in India highlighting the challenges faced by secondary school learners to imbibe employable skills that are industry oriented. This study contributes to development of an integrated model of Teaching Learning framework that weaves in challenges faced by secondary level institutions with the robust support system of other stakeholders.
Keywords: Education Ecosystem, Fifth Industrial Revolution, Employability Skills, Finance Gig Professionals, Uncertain Times, India.
8. FROM CLARITY TO COMPETENCE: THE ROLE OF INFORMATION QUALITY IN JOB DESCRIPTIONS ON ATTRACTING THE RIGHT TALENT
Authors: Dr. URVASHI THAKUR1, and R ABISHEK ISRAEL3
Abstract
This study investigates the pivotal role of information quality in job descriptions (JDs) and its impact on attracting competent, well-fitting talent in the recruitment process. Drawing on Signaling Theory and Person–Job Fit Theory, the paper explores how clarity, accuracy, completeness, and contextual relevance of JDs influence applicant quality and dropout rates. It compares the effectiveness of job descriptions authored by HR professionals, functional managers, and generative AI tools, assessing how authorship shapes information quality and, in turn, applicant outcomes. Using a mixed-method approach—literature review, case studies, and a pilot survey—the research confirms that high-quality, role-specific JDs significantly improve the match between candidates and roles, while vague or AI-generated descriptions, if not carefully edited, may lead to misaligned applications and higher attrition. The findings provide actionable insights for organizations on optimizing JD practices by aligning content with job realities and strategically integrating AI with human oversight to enhance recruitment efficiency and effectiveness.
Keywords: Job Descriptions, Recruitment Effectiveness, Information Quality, Applicant–Job Fit, Authorship Impact, Generative AI.