Despite increased environmental awareness, consumer purchase tendencies for eco-friendly products remains limited, mainly in pricesensitive markets. This study investigates how eco-friendly packaging (EFP) and perceived consumer effectiveness (PCE) influences green purchase intentions (GPI) with prominence on the moderation scope of price sensitivity. A cross-sectional survey from the Doaba region of Punjab was utilised and data collected from 279 respondents was analysed using PLS-SEM. Findings deduced that EFP and PCE yielded favourable influence on GPI. However, price sensitivity significantly moderated these relationships negatively. The study presented suggestions for marketers and businesses to cultivate perceived consumer effectiveness among customers with suitable implementation of value-driven pricing strategies and expand the accessibility and comprehensiveness of eco-labelled products, thus favourably generating the pro-environmental purchase intentions and expediting its transition to actual sustainable consumption. Keywords: Green Purchase Intention, Eco-Friendly Packaging, Perceived Consumer Effectiveness, Price Sensitivity, Sustainable Consumption, PLS-SEM, SmartPLS

Purpose- This study aims to investigate the intersection of immersive technologies and sustainable innovations by mapping the intellectual structure, publication trends, and emerging research themes within this interdisciplinary field. Design/Methodology/approach- A bibliometric analysis was conducted using the Biblioshiny tool of the R package and VOSviewer to analyse 134 journal articles selected through a systematic PRISMAguided process from the Scopus database. The study examined citation patterns, co-authorship networks, and keyword co-occurrences to identify key authors, influential countries, thematic clusters, and research hotspots. Findings- The study uncovers distinct growth patterns, culminating in a notable surge of publications in 2023. This study identifies leading countries, institutions, and authors shaping the field, with China and the University of Konstanz emerging as prominent contributors. Five primary research themes are delineated: e-learning and augmented reality, virtual reality applications in sustainable development, climate change and environmental behaviour, Geotourism with heritage conservation, and advancements in artificial intelligence. These findings reveal the intellectual structure and evolving focus areas, highlighting key knowledge clusters and emerging trends that guide future research directions. Research Implications

Footwear that traditionally treated as a utility item has emerged as an important component of a person's attire. The demand for footwear is projected to be very high (estimated over 10 percent) for several years to come with convenient and cozy footwear contributing to this rise in a big way [2]. The study focused on identifying the main factors that drive footwear purchase among students. Based on a pilot study, a structured questionnaire for prepared and used for collecting data on various factors that enhance propensity to purchase a pair of footwear. A total of ninety-four responses was received based on purposive sampling, and subjected to statistical analysis. Factor analysis was carried out to ascertain the existence of underlying factors. The data collected was coded using one hot encoding and put through a machine learning model based on 'relu' activation function, 'adam' optimizer with 'mean square error' being used as the loss function. The data was run for fifty thousand epochs. The key factors that explain about 70 percent variation in annual spend are: (i) Number of pairs owned presently; (ii) Frequency of purchase; (iii) Number of cars at home (as an indication of the economic status of the person); (iv) Reasonable price (includes discounts, sale etc.), and (v) Frequency of social events a person attends.

In the , article the relationship between the development of the digital economy and the achievement of the Sustainable Development (DE) Goals ( in the context taking place in Ukraine and SDGs) transformation the countries of the European Union. The aim of the article is to substantiate the relationship between the and the , identify the DE SDGs potential for their synergy in the context in Ukraine, and transformatio develop recommendations for strengthening the digital resilience of regions and integration into the European digital space. Within the study comparative analysis of macroeconomic indices (Digital , the Economy and Society Index – DESI, Digital Transformation Index - DTI the ), structural-functional approach to assessing the digital economy, as well as logical-semantic analysis of scientific the approaches to its interpretation . interdisciplinary approach are used The was used to study the relationship between digitalization and sustainable development through the prism of socio-economic and (SD) institutional factors. Based on the , comparative analysis of the DESI the indicators of Poland, Estonia, and Germany was conducted, which allowed assessing the development of digital skills, infrastructure, level digitalization of business and public services. The of Regions of DTI Ukraine for 2022–2024 was also analyzed, revealing regional disparities, digital inequality, and the dynamics of the decline in average values, in particular against the backdrop of security challenges and limited investment resources.

The technological sector has made significant improvements that have impacted the way in which individuals execute task. Financial technology (FinTech) encompasses the implementation of sophisticated technologies in various financial sectors includes insurance, retail banking, wealth management, lending, payment, and financial settlement. This article explores the evolving connection between financial performance and the adoption of FinTech, while also examining how the size of a bank may influence its performance during digital transformation. The fully modified ordinary least squares (FMOLS) model with Chow test is evaluated for 57 Indian banks between 2010 and 2023. The econometric analyses show a positive and substantial relationship between bank profitability and FinTech adoption, implying that more digital involvement by banks translates into improved profitability. According to our research, there is a moderating influence of bank size on the association between profitability and digital investments. Investments in financial technology help larger banks more, which enhances their performance. Our research has significant implications for policies since it indicates that banks may improve their performance

The implementation of fiber-reinforced rebar (FRR) within slab construction integrates a new promising development in the domain of civil engineering and construction management. Increased demand for durable and sustainable structures comes at the cost of traditional steel reinforcement as it is prone to corrosion, requires a lot of manpower to install, and does not crack resist very well. This paper aims to analyze the advantages provided by fiber reinforced rebar, particularly in relation to improving slab strength and stiffness, reducing project duration, as well as diminishing long-term structural damage. This research intends to put forward fiber reinforced rebar for slab construction optimization through a broad evaluation of experimental studies, recent advancements, and innovative comparison frameworks. Fiberreinforced rebar (FRR)-composed of glass, basalt, or carbon fibersembodies a noteworthy shift in contemporary concrete practice toward materials that promise greater efficiency and longevity. Engineers appreciate these bars for their immunity to corrosion, reduced mass, and superior tensile properties, traits that prove essential in waterfront projects, chemical-processing plants, or any zone prone to moisture and salts.

Growing concerns about climate change and environmental degradation have significantly reshaped consumer markets, prompting individuals to increasingly consider the environmental and social impacts of their purchasing decisions. Sustainable purchasing has thus emerged as a critical dimension of consumer decision making, influenced by a complex interplay of awareness, values, and external market drivers. Understanding these drivers is essential for advancing responsible consumption in the climate-conscious era. Therefore, this study was intended to identify the drivers of sustainable purchasing by studying the consumer decision making in the climate conscious era. The study was conducted in the five major cities of Rajasthan i.e. Jaipur, Jodhpur, Ajmer, Kota and Udaipur. By using purposive and convenience sampling method 579 buyers of sustainable products were included in sample. The data was analysed by using mean, standard deviation, coefficient of variation, one sample –t-test and ANOVA test. It was found that customers were significantly environment conscious. They use to make sustainable purchase and numerous psychological drivers and marketing factors affect their purchase decision. Few problems like time and convenience, high prices and low availability of eco-friendly products hinder the sustainable purchasing

In the , using article the features of digital technologies in the strategic management of enterprises . The features of digitalization are analyzed are identified using the example of industrial enterprises, considering the security and economic situation in the country. The main directions of implementing digital solutions in the strategic management of industrial enterprises are identified. The methodological support for implementing digital solutions in the activities of enterprises is expanded. The integral digital maturity index of PrJSC "Myronivskyi Hliboproduct" is calculated. It is argued that the application of the methodology on the example of a large industrial enterprise demonstrates that the integral digital maturity index reflects both available and digital technologies, their real impact on management, labor productivity and financial stability. This allows us to consider the proposed index as a practical analytical tool for diagnosing the current level of digital transformation, monitoring its dynamics over time and substantiating management decisions regarding digital development priorities.

The aim of this paper is to identify the channels through which institutional and fiscal factors influence the size of the informal economy (IE) and, indirectly, economic development and social equity. Thus, using official data provided by Eurostat, the World Bank Group and the OECD, the structural relationships between corruption, the shadow economy (SE) and tax evasion (TE) are investigated in ten European countries - Austria, Belgium, Denmark, Switzerland, France, Germany, Italy, Luxembourg, Spain and Romania - over the period 2020–2024. The analysis focuses on the impact of key macroeconomic determinants, including GDP per capita, inflation rate and GINI index, highlighting the mechanisms through which corruption and TE spread in national economic structures. The results reveal positive and significant relationship between corruption and the UE, as well as the decisive influence of GDP and the perceived corruption level on TE. The findings provide valuable comparative insights and can inform public policies aimed at reducing fiscal vulnerabilities and strengthening economic governance. The main contribution of the study is the development of an integrated analytical framework for assessing the determinants of the IE in the European context.

Leveraging recommendation algorithms enables applications to deliver content with high precision, but simultaneously fosters content homogenization, which amplifies users' algorithmic resistance behaviors. However, the existing literature has not yet revealed the underlying mechanisms in depth. Drawing on the conservation of resources (COR) theory, this study examines how recommendation content homogenization affects users' algorithmic resistance behavior through specific psychological mechanisms. Findings from 323 Chinese college students reviewed that recommendation content homogenization significantly and positively affects users' algorithm resistance behavior. It was also found that fatigue experience and knowledge anxiety both act as significant mediators, with the mediating effect of knowledge anxiety notably greater than that of fatigue experience. Furthermore, user's algorithm literacy significantly and negatively moderates the impact of recommendation content homogenization on fatigue experience and knowledge anxiety, respectively. By integrating emotional and cognitive perspectives, this study provides new insights into the underlying mechanisms between algorithmic content homogeneity and algorithm resistance behavior. The research findings have unraveled the theoretical “black box” between recommendation content homogenization and algorithm resistance behaviors, thereby holding practical reference value for the development and improvement of mobile recommendation systems.

The work environment affects workers' feelings and attitudes and it might influence the performance at work too. The reason behind this can be the gradual rise of humanism to be prevalent in the field of organizational behavior. In addition to aspects about employees' job satisfaction, factors such as feelings, attitudes, and well-being of employees' behaviors were also explored. The emergence of occupational health psychology promoted a healthy work environment for workers where they can maintain their physical and mental health as well as show excellent job satisfaction. The current study was conducted with high-tech industry in Taiwan. Under the scope of this study a total of 400 copies of questionnaire were distributed according to random sampling. Of the 400 copies, 335 valid questionnaires were retrieved, with a retrieval rate of 84%. The data from the questionnaire were analyzed using statistical software. The research results showed that high-tech industry' work behavior improved along with the perceived organizational support. The positive events experienced in workplaces (e.g., feeling care and support from the organization) promoted employees' work behavior and performance. High-tech industry with perceived organizational support, who show high emotional attachment to the organization, devoted themselves to the organization with better performance and supported the organization. The current study is expected to help high-tech industry improve their work behavior, increase their contribution to the high-tech industries, and as a result show a high job satisfaction.

This study centers on how smart wearable devices influence individuals who engage in physical activity, with a focus on the moderating effects of social interaction and psychological factors. First, analyses of variance revealed that people who use smart wearables perform significantly better in health-related behaviors compared to non-users. The study examines the dimension of social interaction, divided into “social connectedness” and “social assurance.” Both factors are shown to moderate the relationship between device usage and health behaviors. In other words, individuals who feel stronger social connectedness or assurance are more likely to see better health outcomes from wearing these devices. Finally, regarding psychological factors, the study focuses on “personal capability” and “acceptance of self and life.” Again, both sub-dimensions significantly moderate the effect of wearable device use on health behaviors. Individuals with higher levels of personal capability and self-acceptance experience greater improvements—indicating that self-efficacy, optimism, and a growth mindset can magnify the advantages offered by technological feedback. Overall, this research confirms that smart wearables do hold substantial potential for promoting healthier behaviors. Yet, their effectiveness depends on a holistic ecosystem that combines social support (social interaction) and individual psychological strength (personal capability and self-acceptance). For future research, longer-term longitudinal studies or mixed-methods approaches are recommended to examine how cultural contexts and various psychological or social conditions influence both the continued use of wearables and the resulting outcomes.

The study aims to explore the influence of behavioural biases on investors' investment decisions in Indian states like Chhattisgarh and Odisha. Structural Equation Modelling (SEM) is used as a tool in this study to evaluate the impact of various behavioural biases like 'optimism', 'overconfidence', 'disposition', 'herding', and 'anchoring' on the decisions of individual investors. Data of individual investors is obtained through a structured questionnaire based on survey-based research design. A total of 200 sample data is considered for the study after due scrutiny. The result revealed that optimism, herding, and anchoring biases positively influence investors' investment decisions, with beta values of 0.37, 0.05, and 0.73 respectively. However, it is found that 'overconfidence' and 'disposition' biases have negative effects on investors' investment decisions. The findings of this study will enable investors to make more rational and informed investment decisions by recognizing, anticipating, and mitigating the influence of behavioural biases and their consequential effects on investment outcomes. It will also be helpful to the policymakers to identify the anomalies in the financial market and will develop the appropriate strategies to overcome/eliminate their adverse effects.