The role played by Information Communications Technologies (ICT) in the industries of hospitality, travel and tourism is vital. The urban cities of the National Capital Region (NCR) of India are a major business hub for tourism for many tourists to visit, being the focal point for major events in addition to having diverse tourism products of their own. Women entrepreneurs are playing a major role in the arena of hospitality and tourism in the region. This study aims at understanding the entrepreneurial thread amongst women business owners belonging to hospitality and tourism industry of Delhi NCR focusing on the ICT aspect as part of their business. A questionnaire- based survey was employed in an attempt to find out the current environment for ICT in the businesses of 54 women exploring the access and usage of ICT in their respective businesses and their need for support. Findings exhibited that women entrepreneurs used ICT

Consumer loyalty in online shopping environments has become increasingly important as e-commerce grows in the digital age. This study examines women's online gold jewelry buying experiences in the context of e-satisfaction, e-loyalty, and online service dimensions. Our hypothesis is that e-satisfaction explains how service dimensions affect e-loyalty through its mediating effect.

This study researches managerial response to business decline and failure in India, seeking to initiate theory lacking in this subject in India. Using grounded theory methodology and in-depth interviews with 28 senior managers, the research explores how managers perceive, understand, and respond to these challenges. Integrating the findings with adaptive leadership and organizational resilience theories, the study proposes the "Dynamic organization and Resilient leadership" theory or framework, that posits that organizations can thrive in challenging environments, through leadership styles that foster individual and systemic resilience, thus enabling fluid, adaptable, dynamic structures. The research contributes to academic discourse and also offers practical insights for managers and organizations navigating the dynamic Indian business landscape.

Introduction: This paper presents the overall perception of medicine students and healthcare workers regarding Artificial Intelligence. Artificial intelligence has made a significant contribution to healthcare by assisting professionals in their tasks, such as delivering better diagnoses and treatments, early identification of various diseases, improving the quality of services provided, predicting population epidemics, and so on. Despite its promise, employees in the healthcare industry have conflicting sentiments or feelings about the use of AI technologies.Aims: This research investigated the role of Artificial Intelligence and its prospect and challenges as well as its importance in healthcare. Methods:A quantitative study was conducted among medicine students &healthcare staff from several fields and specialties. Eighty-six (n=86) healthcare staff and medicine students were randomly selected to participate in this research from various healthcare facilities across the kingdom. In order to collect responses from the healthcare staff and students, a bi-lingual questionnaire was distributed for wider coverage. The responses to the questionnaire distributed to healthcare workers and students. Results: This study showed most healthcare workers and students acknowledged that AI has a significant role in healthcare, and they were satisfied with the idea of implementing it. Considering the study results, researchers emphasize the implementation of AI technologies in healthcare facilities in order to improve quality, timeliness documentation, support decision making, predict pandemics occurring, and ensure the safety of patient care and healthcare services. Conclusions: The outcomes of this study come with support and importance on previous literature review associated with satisfied healthcare staff and health and medical students with the use of AI in the healthcare settings. This study shows most healthcare workers and students acknowledged that AI has a significant role in healthcare, and they were satisfied with the idea of implementing it.

The research is designed to examine the role of task performance in the relationship between the use of emotion and job satisfaction. task performance (TP) and job satisfaction (JS) in the real estate sector (RES) in Turkey. The research also investigates the function of (mediating) TP regarding theconnection betwen UOE and JS in RES. Our study is based on RES professionals and is quantitatively designed. The research's measurement and structural model analyses were performed using the SmartPLS 4 software. In the study, it was found that TP and JS are the successors of UOE. It was also determined that TP mediates the relationship between UOE and JS.Conservation of resources theory (CORT) illuminates the relationships that the research addresses. Using CORT, this research illuminates how individual resources (UOE) can enhance work resources (TP-JS). Cross-sectional design and convenience sampling method are the some limitations.The research develops the literature on use of emotion in the RES, presents its practical and theoretical contributions, discusses the results and makes recommendations.

The study presents a systematic literature review on sustainable luxury consumption behaviour (SLCB) in the light of SDG 12 and translates the findings of that literature into usable insights for researchers, marketers and policymakers. Using the antecedents, decisions and outcomes (ADO) framework, this study seeks to consolidate the area intersection between diametrically opposed ideas of luxury and sustainability. Based on extensive coverage of 57 studies published over a period of 17 years between 2005-2022, nascent literature on sustainable luxury consumption is reviewed. Three primary streams of research were identified: (1) how consumers purchase luxury items (2) how consumers use or consume luxury items (3) how consumers dispose luxury items, all three rooted in the generic attitudes of luxury consumers in their interactions with sustainability to lay out variables that pinpoint the aforementioned behavioural trends. The study also discusses influences of particular gender on SLCB. This study bears implications for managers, environmentalists, consumers and luxury enthusiasts.

The efficiency of e-commerce recommendation systems from the customer perspective is a critical area of study, particularly concerning the impact of personalized and diversified recommendations. This research investigates the implications of personalized recommendations on e-commerce platforms, focusing on customer satisfaction and efficiency. Additionally, it explores the effects of diversified recommendations on the effectiveness of recommendation systems in enhancing customer satisfaction. The exponential growth of the e-commerce market has intensified the need for streamlined shopping experiences. Personalized recommender systems have emerged as vital tools for global companies, offering tailored product suggestions based on individual preferences. These systems aim to enhance customer satisfaction, drive sales, and increase conversion rates by presenting relevant products to users. However, there is a growing concern regarding the repetitive nature of recommendations, potentially limiting customer engagement. Furthermore, while accuracy has traditionally been a key metric for evaluating recommender systems, diversity has gained significance in recent studies. Balancing accuracy and diversity poses a challenge, as maximizing one metric may compromise the other. Achieving an optimal balance is crucial for ensuring customer satisfaction and overall system efficiency. By examining the impact of these recommendation strategies on customer satisfaction and efficiency, this research aims to contribute to the ongoing discussion on improving e-commerce recommendation systems.

This research explores the role of artificial intelligence (AI) in influencing consumer behavior towards sustainable fashion, based on the Theory of Planned Behavior (TPB). It examines how AI-driven insights impact consumer attitudes, subjective norms, perceived behavioral control, and behavioral intentions related to sustainable fashion. Using structural equation modeling, data from fashion consumers reveal that AI significantly enhances attitudes, shapes subjective norms, and strengthens perceived behavioral control. These AI-enhanced variables collectively boost intentions to purchase sustainable fashion. The study integrates AI with TPB, advancing understanding of consumer decision-making and offering practical insights for promoting sustainability in the fashion sector.

Urgency of the competence formation in the higher educationsystemto carry outactivities in circular economyis due to rapid changes in global economic and environmental contexts.Population growth in the world, rapid urbanization and depletion of natural resources require transition from traditional linear model of the economy to circular one, which is focused on closed cycles of resources’s use. Therefore, there is a demand in the market for qualified specialists who can work with innovative technologies and implement sustainable development principles includingbothtechnical knowledge, and understanding of economic, environmental and social aspects of the circular economy. The goal of scientific work is to define principlesof the competences’ formation in the higher educationsystemin thecircular economydevelopment for future specialists using the systemic approach methodology. In the research, authors singled out reasons for this formation of competences in the higher educationsystem in the circular economy and structural components of professional competences, which include theoretical-methodical, practice-oriented, cognitive-value components.

The textile manufacturing industry is under growing pressure to adopt sustainable practices due to increased environmental awareness and regulations. With its significant contribution to pollution and resource use, Green Supply Chain Management (GSCM) has emerged as a crucial strategy to mitigate environmental impacts while maintaining operational efficiency. The major objective of this research was to study the green supply chain management practices adopted by the textile manufacturing industries. Further, the research also discussed the role of green supply chain management practices in the sustainable development of selected areas. The textile manufacturing industries are situated in PAN India but this research has focused on textile companies of Rajasthan, Punjab, Gujarat, Maharashtra and Bihar. In total 127 textile manufacturing industries have been included in the sample and data has been collected by using survey method.

Small and medium-sized enterprises (SMEs) in Ukraine are evolving in a highly competitive environment, necessitating the pursuit of innovative and efficient tools for product promotion and the expansion of consumer and client bases. Instagram has emerged as a robust platform for marketing goods and services. In light of the relevance of this topic, the present study aims to synthesize contemporary trends in SMEs' utilization of Instagram for marketing. The research employs a correlation-regression analysis method, demonstrating a significant relationship between the efforts of social media marketing (SMM) specialists and the effectiveness of product promotion on social media, as indicated by follower growth. Analyzing social media usage patterns reveals that these platforms, frequently used for communication and attention capture, present opportunities to create additional advertising content to inform consumers about the producer's product range. The study finds that the most effective tools in designing and executing an Instagram-based SMM strategy include targeted advertising, influencer collaborations, and advertisements on popular public accounts. A gradual and phased implementation of these strategies is shown to enhance the market positioning of SMEs significantly. Key challenges in developing product promotion systems through social media include ensuring data protection and creating an effective marketing strategy, particularly for businesses that still need a physical presence.

A sufficiently high level of development of small and medium-sized enterprises (SMEs) is an unquestionable competitive advantage for any region and generally indicates the potential for further development of the region's capabilities. The socio-economic conditions for entrepreneurial activity and development have undergone significant transformations in recent years due to the active military actions on the territory of Ukraine. The new realities of the Ukrainian economy shape new conditions for entrepreneurial activity and demand innovative solutions and tools from entrepreneurs. Given the research's relevance, this paper aims to determine the role of SMEs in ensuring the innovative development of post-war regions, focusing on specifying the factors that determine the potential efficiency of SME operations. To achieve the aim of the study, the author analysed relevant scientific sources on the chosen topic, which allowed for obtaining reasonable and objective results, and used a specific method of correlation and regression modelling, which allowed the identification of critical factors that affect the efficiency of small and medium-sized enterprises in the regions in the context of their innovation activity.

The main aim of the study is to examine the overconfidence bias, self-efficacy, underdog bias and risk-propensity and their impact on the decision-making. In total 400 entrepreneurs from different organizations of Faisalabad was recruited. Correlation result demonstrated that risk propensity, self-efficacy and underdog bias has positive relationship with entrepreneurial decision making. Whereas overconfidence bias has negative relationship among workers. The result of step wise regression indicated 16 percent of variance found among study variable and decision making. The results of t-test indicated that male workers are more over-confident, underdog bias and risk propensity than women.