This study utilizes primary datagathered via a structured questionnaire from 324 e-wallet users in Uttar Pradesh, India. Using multiple regression analysis, the study identifies factors influencing youths' switching intentions among e-wallets through the pull, push, and mooring (PPM) approach. The findings highlight that the attractiveness of alternative e-wallets is the most significant factor prompting users to switch. The study's limitations include its focus on India, necessitating further research for broader generalization, and the exclusion of other potential antecedents and mediation/moderation effects. Practical implications suggest that e-wallet

Amid unprecedented global challenges, integrating sustainability, HR strategies, and technology has become crucial for academia and industry. This paper explores research at this intersection, revealing synergies shaping sustainable development through a bibliometric framework. Using the Scopus database, 243 documents were analyzed with VOSviewer and R-studio. The findings indicate an increasing trend in integrating technological innovations with HR strategies for sustainable development. The United States leads with 34 manuscripts, while the National Natural Science Foundation of China sponsors the most studies (4). Thematic mapping, co-occurrence analysis, and word clouds provide insights into the interconnectedness of sustainability, HR strategies, and technology. These findings guide stakeholders in shaping policies, organizational strategies, and educational initiatives to advance sustainable development goals (SDGs). The study highlights the need for collaboration between academia, industry, and policymakers to leverage technology and HR strategies, fostering innovation, improving decision-making, and promoting a culture of sustainability for a resilient, equitable global society.

The widespread espousal of technology has fueled the need for digital makeover in the banking industry. Digital Banking is an umbrella term covering various services offered by banks via internet. Such services can be accessed remotely, without visiting the bank, from anywhere in the world round the clock. To endure the intense rivalry, banks worldwide are endeavoring to add new clients and keep current ones by offering highly featured, economical and tech-savvy products and services to the market. This study endeavored to explore the nexus of the quality of digital service and its dimensions with satisfaction level of clients within the banking context of Jammu and Kashmir.It focuses on examining how key aspects of digital service qualityrelate to how satisfied clients are with their digital banking experiences.The study spawned a research model that included three aspects of the BSQ Model (reliability, service portfolio, and service charges) and the four elements of the E-S-QUAL Model (efficiency, ease of use, responsiveness, and security/privacy).

Digital health technology will improve people's lives through increasing knowledge of and understanding of healthcare, expanding the range of healthcare services, and developing a workforce of healthcare workers equipped with these technologies. However, adoption of digital health services is currently progressing very slowly. The objective of this research is to offer a comprehensive bibliometric analysis of past research related to digital health care publications. The Scopus database was examined to find all currently available and highly cited research papers on digital and mobile healthcare published in English up to 2022. The abstract, title, and keywords were used to build a search strategy that was used to check a title's eligibility using bibliometric criteria. The year of publications, keyword co-occurrence, sources, and authors were calculated using the VOSviewer application. Out of the 4085 results returned by the search, 2891 publications were used in the study. Since 1992, the average rate of research paper publication has risen by 24%. After 2010, however, there was exponential growth. The primary research areas are telemedicine, mobile healthcare, mobile applications, and use of digital health tools. This study has helped us see earlier work in the field of digital health from a wider angle. Investigations of several aspects of digital health publication, such as publication nations, authors, citations, and bibliographic coupling, were conducted.

Purpose-Open Network for Digital Commerce (ONDC) has pavedthe wayfor an inclusive ecosystem that amplifies choices for consumers and facilitates collaboration among sellers, dealers, and delivery partners.Thus, this paper scrutinizes ONDC's impact on e-commerce competition in India and examines its alignment with the Sustainable Development Goals (SDGs) outlined by the United Nations. Design/methodology/approach-To fulfill the objectives of this study, the SWOT (strengths, weaknesses, opportunities, and threats) analysis framework and Porter’s five forces model were applied. Findings-The findings from both analysesprovide valuable insights into market entry and expansion strategies for ONDC andunderscore ONDC's potential to disrupt the Indian e-commerce landscape by empowering small and medium enterprises (SMEs) and enriching consumer choices. Furthermore, the discussion elucidates how ONDC intersects with several SDGs, particularly those related to economic growth, industry innovation, and inclusive access to digital technologies.

The public sector banks are the fastest growing sectors and works as an integral part of the developing economy of India. as the banking sector has become more complex now days so in this relentless environment supervision, monitoring and performance appraisal of banks has become necessary to ensure the financial stability of the economy. The present study is an attempt of financial appraisal of public sector banks (as public sector banks are non-profitable organisation and works for social upliftment) using six parameters of CAMELS model. The study considers four top public sector banks as per the government holdings that is Punjab National Bank (PNB), Central Bank of India (CBOI), Union Bank of India (UBOI), Bank of Baroda (BOB). The data is collected for the study is concentrated from the official websites of banks and Prowess IQ database for the period of 2013-14 to 2022-23. The results shows that Bank of Baroda has highest performance in most of the ratios of CAMELS model and Union Bank of India has lowest performance in all aspect of CAMELS parameters.

It is known that open innovation has an important impact on companies' technological innovation activities. Hence, since venture firms are relatively small in size and have limited internal resources to utilize, activities to expand cooperation with external parties through open innovation are very important. Therefore, this study aims to identify and analyze the relationship between entrepreneurship, innovation capabilities, and external cooperation that affect the technological innovation performance of venture firms in Jiangsu, China. The results show that entrepreneurship has a positive effect on innovation capability, external cooperation, and technological innovation performance; innovation capability has a positive effect on external cooperation and technological innovation performance; external cooperation also has a positive effect on technological innovation performance; and innovation capability and external cooperation each play a positive mediating role in the relationship between entrepreneurship and technological innovation performance. It is concluded that innovation capability and external cooperation together positively mediate the relationship between entrepreneurship and technological innovation performance. Keywords: Entrepreneurship, Innovation Capabilities, External Cooperation, Technological Innovation Performance, Venture Companies

Artificial Intelligence (AI) is increasingly transforming Training and Development (T&D) programs within the Information Technology (IT) sector, offering potential benefits such as task automation, personalized learning experiences, and enhanced organizational efficiency. This study examines the integration and impact of AI in T&D through a mixed-methods approach, combining quantitative surveys and qualitative interviews with IT employees and HR professionals. Quantitative data were gathered via structured surveys administered to 300 IT employees across various organizations. The surveys utilized Likert-scale questions to assess perceptions of AI integration in T&D, performance expectancy, and behavioral intentions regarding AI adoption. Concurrently, qualitative insights were obtained through semi-structured interviews with HR managers and IT professionals to explore themes such as challenges, benefits, and practical considerations of AI implementation in T&D. Findings from the quantitative analysis highlight a significant positive correlation between performance expectancy and the intention to adopt AI in T&D. Employees perceive AI as enhancing T&D effectiveness by automating routine tasks, delivering personalized learning experiences, and improving overall organizational performance.

In the article, features of public management in modern conditionsare examined. Directions of realizing social potential of government, business and communities in the conditions of digitalization are determined. The main approaches to conceptualizing public management were identified, which made it possible to track the change in the public management paradigm. Based on the study of the theoretical basis of management, the main directions of its formation, development and updating of research were substantiated. The proposed conceptual model of public management by realizing social potential includes the goal, subject-object component, principles, methods, tools, tasks and components that allow increasing efficiency of public authority. Directions of activating interaction of public management with the public were proposed, which made it possible to determine effectiveness of this cooperation. Keywords: Public Administration, Social Concept Of Public Administration, Social Potential, Social Security, Interaction “Government-Business-Community”, Digitalization, E-Government.

Consumer behaviour plays a pivotal role in driving sustainable consumption, especially in the context of climate change. Understanding the factors that influence eco-friendly purchasing decisions is crucial for promoting environmentally responsible choices and addressing the global environmental crisis. Due to increasing environmental concerns among the residents, the present research is aimed at studying the factors influencing the eco-friendly purchase decisions of consumers. The research has also investigated the barriers to sustainable consumption. This study was done in the Vadodara and Surat cities of Gujarat State, and by using convenience sampling method 448 residents were included in the sample. The data has been collected by using the questionnaire method. Results highlighted that consumers are moderately concerned about climate change and environmental issues and they sometimes consider sustainability when making purchasing decisions. Consumers occasionally purchase sustainable products and most purchased eco-friendly products are organic food (79.91%), personal care products (72.32%) and reusable housing products. It was observed that the most influencing factor to purchase eco-friendly products is the quality of the product followed by the availability of product and environmental impact

This study presents a comprehensive analytical framework for exploring consumer behavior in fresh supermarkets by integrating association rule mining, customer segmentation, and value analysis. Specifically, the methodology employs the Apriori algorithm to uncover frequent item sets and strong product associations from transactional data. These insights form the basis for customer segmentation using Self-Organizing Maps (SOM), a neural network-based clustering approach that groups customers with similar purchasing patterns. Finally, the Recency-Frequency-Monetary (RFM) Recency-Frequency-Monetary (RFM) model is applied to evaluate customer lifetime value within each cluster. The integration of these three techniques provides both behavioral and financial perspectives, enabling supermarket managers to identify high-value customer segments and tailor marketing strategies accordingly. The study demonstrates that linking product-level associations with customer-level segmentation enhances the ability to personalize promotions, optimize product placement, and allocate resources efficiently. The methodology also allows for flexible expansion and adaptation to other retail sectors. This hybrid approach offers a robust foundation for data-driven decision-making and paves the way for intelligent retail management based on consumer-centric insights.

Despite the increasing reliance on wireless internet, even in residential areas, Ethio-Telecom's services in Hawassa City failed to meet user expectations, leading to widespread dissatisfaction. Therefore, this research explores the factors influencing internet users’ satisfaction with Ethio-Telecom's wireless internet service in Hawassa City. The study adopted an explanatory research design and a quantitative approach, surveying a systematically sampled 354 internet service users using a self-administered questionnaire. Ordered logistic regression analysis, conducted with SPSS version 26, revealed key determinants of customer satisfaction. The findings indicate that demographic factors including sex, age, and education, and service-related factors including tangibility, assurance, reliability, and empathy statistically influence Ethio Telecom’s wireless internet users’ satisfaction level. Specifically, females reported higher satisfaction than males, and older individuals were generally more satisfied than younger ones. Conversely, higher education levels correlated with lower satisfaction. Furthermore, empathy had the most significant impact on satisfaction, followed by responsiveness, assurance, tangibility, and reliability. Consequently, the study recommends that Ethio-Telecom proactively enhance service quality through targeted strategies to increase customer satisfaction and meet the varied expectations of internet service users in the region.

The Indian beauty industry has evolved significantly, shifting from a fairness-driven ideal to a more holistic, wellness-focused standard. This transformation has been influenced by changing consumer preferences, ethical awareness, regulatory developments, and the rise of social media. This study examines how emotional factors influence purchase decisions (PD) and brand loyalty (BL), considering Cultural and Social factors (CS), Market and Regulatory Changes (MRC), Social Media Influence (SMI), and Consumer Awareness and Ethical Considerations (CAE). A structured survey was conducted among 276 Indian cosmetic consumers using a quantitative research approach.

The proposed research seeks to offer detailed guidelines for creating a reflective measurement model with PLS-SEM and to tailor the resilience scale for the hospitality industry through the application of the PLS-SEM measurement model. The scale was adapted from the parent scale designed by Kumari and Sangwan (2014), which was shown to have outstanding psychometric properties in the context of the Indian Pharmaceutical Industry.A survey was conducted to collect the data from the 100 employees of luxury hotels working in UttarakhandGarhwal Zone, India. The scale achieved satisfactory reliability and validity to utilize in the hospitality industry. The composite reliability of each factor was greater than .80, yielding .88, .85, and .88 for autonomy, problem solving-skills and social-competence. The instrument attained a satisfactory level of convergent and discriminant validity. The present study will be helpful for the researchers, academicians, administrators and other stakeholders involved in the hospitality industry to assess the level of resilience of the employees. Understanding the neural roots of resilience can help the hospitality industry