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This study aims to ascertain the impact education for sustainable development (ESD) on knowledge, attitude and behavior among senior (last year undergraduate) Indian students.

This study is a cross-sectional causal investigation with descriptive design using survey method. It uses the knowledge, attitude and behaviors toward the sustainable development scales of the International Institute of Sustainable Development (IISD) for data collection and partial least-square structural equation modelling for empirically testing the proposed research model.

The study results establish the importance of sustainability education on knowledge, attitude and behavior. The impact of knowledge on behavior is direct and partially mediated through the attitudinal pathway – indicating central and peripheral routes sustainability related information processing and attitude formation. The results also indicate poor knowledge of the impact of socio-cultural issues on sustainability.

The study results will help assess the impact current ESD initiatives in India and redesign the ESD curriculum in line with ESD for 2030 initiatives to facilitate the achievement of UN’s sustainable development goals by 2030. This study is limited to senior students and offers scope for extension to other groups.

The study results can help redesign the sustainability curriculum at the school and undergraduate levels in the country in line with ESD for 2023 objectives. The results indicate an urgent need to include the impact of sociocultural issues on sustainability to sensitize Indian students towards the same.

This study contributes to the sustainability education literature by assessing the impact of sustainability curricula on sustainability knowledge, attitude and behavior among Indian senior students – hitherto uninvestigated. It also will help in the informed redesign/ improvement of ESD curriculum under the ESD for 2030 initiatives.

This paper aims to define the current and potential extent of seawater intrusion in Manukan Island under different scenarios of varying recharge and pumping rates. The calibrated model was also used to predict the extent of seawater intrusion in low lying area of Manukan Island for two years with all conditions assumed to remain the same as those in December 2009.

Different scenarios of varying recharge and pumping rates based on threats received by Manukan Island were investigated. El‐Nino events and overpumping are represented by varying recharge and pumping rates. Simulation was done using SEAWAT‐2000, the latest modeling software available in groundwater modeling that couples flow and transport together.

The seawater‐freshwater mixing ratio moves landwards after two years of simulation in Scenario 1. In order to control overpumping in this study area, Scenario 2 has resulted in backward movement of the 1.4 percent seawater‐freshwater mixing ratio toward the coast after two years of prediction. The current contamination of the coastal aquifers by seawater intrusion will be more severe with an impact of El‐Nino events on groundwater resources depletion in Scenario 3. Reductions of pumping and recharge rates in Scenario 4 have worsened the seawater intrusion problem. With the aid of artificial recharge in Scenario 5, highest hydraulic heads and lowest chloride concentration were observed.

The sustainable groundwater management selected for Manukan Island's current situation will be Scenario 2. In view of the effects of El‐Nino events in the future, Scenario 5 can be implemented to restore groundwater resources. The numerical model has showed the groundwater condition during El‐Nino events and overpumping illustrated that simulation modeling is an excellent tool to understand the behavior and management of an aquifer system. The output of simulation modeling via numerical model provides a framework toward groundwater management. Thus, current study output with similar approach which will restore groundwater (artificial recharge and reduction of pumping rate) can be applied in other small islands of similar hydrogeological condition and stresses for the purpose of groundwater resource protection.

Briefly, these findings will effectively contribute to water policy analysis, planning and management in the study area to combat current as well as future seawater intrusion problem.

Consumers in India are increasingly using mobile payment systems (MPSs) to make online and offline payments. Digital payment applications are gradually being used as surrogates for cash, checks and plastic money. The motive behind this research is to analyze the different antecedents that impact the users' willingness to continue using the MPS in India.

An extensive study of the literature review supports the creation of a framework that describes the continuance intention of using MPS. Data from a survey of 612 respondents from India were collected to assess the research model. The study used partial least squares (PLS)–structural equation modeling (SEM) technique to empirically validate the framework developed.

The outcomes of the research suggest that service quality, attitude, effort expectancy and perceived risk act as influencing antecedents of continuance intention to use MPS. Determinants like perceived trust, convenience and social value have no influence on users' continuance intention. SEM analysis has verified the proposed model, which explains 50.7% of the variance of the users' continuance intention of using MPSs.

The research is built upon cross-sectional data carried out in India. Hence, the outcomes of the study are limited to this region only.

Engaging with the consumers for a long time and enabling their continuance usage are extremely important for firms offering mobile payment services. The managerial implications provide insights into the different ways to capture new business opportunities to the firms rendering mobile payment services in the wake of changing consumer behavior.

This research tries to analyze users' continuance intention to use MPS in India. Although many research studies have investigated the willingness of the individuals to adopt novel technology in different frameworks, there are hardly any empirical studies carried out to analyze the antecedents of users' continuance intention to use MPSs.

This study aims to examine the research pattern and growth trends of published research on a unified theory of acceptance and use of technology 2 (UTAUT2) from 2012 to 2019. The study also examines the research scope of UTAUT2 for future researchers.

This study has adopted a bibliometric approach followed by a structured literature review analysis to synthesize the research on UTAUT2 since 2012. In total, 163 documents were analyzed for type of studies, theories and frameworks, methodologies, author wise collaboration, organizations that contributed to the body of knowledge in the UTAUT2 research and journals that published studies in this domain. VOSviewer and Tableau were used for the data visualization, whereas TCCM, which means theory (T), context (C), characteristics (C) and methodology (M) framework is used to propose the future research directions.

The findings reveal research on UTAUT2 is growing. The structured literature analysis of the top 15 cited articles further analyzed the parsimony of new models in detail. In addition, the study highlights the inception by and promoters of UTAUT2 in a separate section. The data for this study was collected by searching the title, abstract and keywords of documents in the Scopus database.

This study is based on research papers, published in the UTAUT2 research area, that have been extracted from the Scopus database by keywords only. Future studies can also perform a meta-analysis of various clusters generated by bibliometric analysis.

This study is useful for practitioners to devise strategies for increasing technology acceptance, adoption and utilization in the times to come.

To the best of the authors’ knowledge, this study is one of the very few and early studies, which examined patterns and growth trends of the UTAUT2 studies with the TCCM framework, to suggest scope for future research studies.

This study aims to understand the acceptance of AI-curated fashion services among Chinese consumers by introducing consumer characteristics, such as fashion clothing involvement (FCI) and technological innovativeness (TI), as leading variables of the technology acceptance model (TAM). Furthermore, it aims to examine the impact of FCI and TI on attitudes towards AI-curated fashion services and the purchase intention of fashion products through perceived usefulness (PU), perceived ease of use (PEU), and perceived enjoyment (PE). Through this analysis, this study seeks to determine a marketing strategy that can support implementing AI-curated fashion services in the Chinese market.

This study used structural equation modeling to ascertain the results.

Regarding AI-curated fashion services' attributes, the analysis revealed that consumers' FCI did not significantly affect the PU and PE. However, FCI greatly impacted the PEU. In addition, consumers' interests in TI significantly affected PU and PE but did not significantly influence PEU, although PEU significantly affected PU. PU, PEU, and PE greatly impacted usage attitude. PU and usage attitude significantly affected purchase intention, whereas PE had no effect.

Through a practical survey of Chinese consumers, we investigated the impact of FCI and TI on the attitude and purchase intention of fashion products recommended by AI-curated fashion services.

To investigate consumer continuance intention in mobile payment in the financial technology (fintech) industry.

This empirical study used an online survey with 673 responses from consumers, with structural equation modelling for data analysis.

The results revealed that trust, perceived usefulness, perceived ease of use, perceived risk and perceived security significantly affect consumer attitude. A positive impact on consumer attitude towards consumer engagement was also exposed.

Trust, perceived usefulness, perceived ease of use, perceived risk and perceived security significantly affect consumer attitude. Hence, consumer attitude and consumer engagement have a positive influence on continuance intention.

The study offers guidelines for decision makers to expand long-term engagement with consumers and enable continuance use of mobile payment services.

The findings will ultimately guide fintech firms in the implementation of a more secure macro financial system.

This study highlights the importance of consumer attitudes and engagement in mobile payment and extends the TAM model for more extensive technological advancements.

Grounded on the value-based adoption model and innovation diffusion theory, this study examined consumer purchase decisions of mobile Global Positioning System (GPS) navigation apps. In addition, this study also investigated the moderating role that perceived availability of free substitutes (PAFS) plays in the relationship between perceived value and purchase intention. The paper aims to discuss these issues.

Data collected from 219 mobile users were analyzed against the research model using the partial least squares approach.

The results showed that compatibility, relative advantage, perceived enjoyment, perceived cost (positively), and complexity (negatively) influenced these users’ value perceptions and purchase decisions. Furthermore, PAFS significantly weakened the positive relationship between perceived value and purchase intentions.

Based on these findings, the authors provide practical suggestions for mobile app developers to increase mobile app sales. This study also helps advance knowledge of mobile internet marketing.

This study is a pioneering effort in explaining consumer purchase intentions in the context of mobile GPS navigation app.

With the emergence of mobile devices, factors such as interaction and ubiquity have become increasingly important in the use of social media networks. However, regarding hotel guests’ use of social media, knowledge about how those factors contribute to guests’ continued social media use remains limited. The purpose of this study is to examine the influence of interaction and ubiquity mediated by trust, benefits and enjoyment on hotel guests’ continued use of social media networks.

To examine the hypotheses, a self-administered questionnaire was posted by ten UK hotels on their social media pages. A total of 258 usable data were collected and analyzed using partial least squares analysis.

Two social media characteristics – interaction and ubiquity – influenced hotel guests’ continued use of social media via the mediating variables of trust, benefits and enjoyment.

This study bridges the gap in research regarding intended continued use of social media networks by offering new empirical evidence concerning the determinants of hotel guests’ continued use of social media.

Social networking services/systems (SNSs) have grown in popularity in the past decade. However, while some have been abandoned by their once loyal users, others have grown in popularity. Literature provides diverse and often conflicting justifications for this phenomenon. Seeking a credible explanation, this study aims to examine the roles of system-like trust and habit in SNS use continuance.

This study conducted a comprehensive review of related literature to formulate an extended model of information technology (IT) continuance. A cross-sectional field survey was used to collect data from 401 university-student Facebook users. The research model was evaluated using structural equation modeling.

The results indicate that trust in technology and hedonic motivation are important direct influences on end-user continuance intention (CI), while habit is not. Interestingly, the most salient (indirect) predictor of CI is confirmation of (user) expectations.

The study suggests a set of practical steps that managers and practitioners can undertake to support users’ decisions to continue using the systems.

This paper advances IT continuance research by theorizing that trust in technology along with habit and hedonic motivation positively influence CI. In addition, the study enhances the concept of perceived usefulness by modeling this unitary measure as a multidimensional construct.

The purpose of this paper is to locate determinants of the diffusion process of solar energy and examine the relationship between variables affecting diffusion and adoption solar of energy.

The data used in this research have been collected from users and non-users of solar energy products in Punjab. A research model was used to test for factors of diffusion and intention to use solar energy products.

The survey results show that the majority of solar product users are aware of the difference between renewable and non-renewable sources of energy. Roger’s diffusion model containing five components, relative advantage, trialability, observability, complexity and compatibility, shows that relative advantage and trialability significantly influence user’s intention to use solar products. In order to increase adoption and usage of solar energy products, more consideration is required toward raising the reliability and utility of solar products. Demos and trials highly convince users toward solar products. Hence sellers of solar products should give effective trials to increase acceptance of solar products.

This work provides a clear focus which will allow the diffusion and adoption of solar energy product by providing guidance and aspiration as well as providing platform to solar energy manufacture and government for policy making and future decision.