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ChatGPT is an advanced artificial intelligence (AI) form that can generate human-like text based on large amounts of data. This paper aims to empirically examine the ChatGPT adoption level among Indian individuals by considering the key factors in determining individuals’ attitudes and intentions toward newly emerged AI tools.

This paper used “partial least square structural equation modeling” (PLS-SEM) to investigate the relation among several latent factors by applying a representative sample of 351 individuals.

This study found that trialability, performance expectancy and personal innovativeness significantly influence individuals' attitudes, while compatibility and effort expectancy do not significantly impact attitudes. Additionally, trialability, performance expectancy, effort expectancy, personal innovativeness and attitude significantly influence behavioral intentions. However, compatibility has an insignificant impact on behavioral intention. Moreover, the research highlights that attitude and behavioral intention directly correlate with actual use. Specifically, the absence of compatibility makes people hesitate to use technology that does not meet their specific needs.

These unique findings provide valuable insights for technology service providers and government entities. They can use this information to shape their policies, deliver timely and relevant updates and enhance their strategies to boost the adoption of ChatGPT.

This paper is one of the pioneering attempts to exhibit the research stream to understand the individual acceptance of ChatGPT in an emerging country. Moreover, it gained significant attention from individuals for delivering a unique experience and promising solutions.

This study aims to examine the cryptocurrency adoption (CA) level among Indian retail investors who use cryptocurrency as an investment and mode of transaction.

Through self-administered survey questionnaires, data is collected from 397 retail investors of Haryana (India). This study adopted a quantitative method using partial least squares structural equation modeling (PLS-SEM).

This paper offered a robust model with a high explanatory value for CA in which four of the five proposed factors of diffusion of innovation theory (trialability, compatibility, complexity and observability) and one of the two proposed factors of consumer behavioral theory (perceived value) significantly influences CA. More specifically, the absence of regulatory support is a barrier to the broad adoption of cryptocurrencies, as its regulations are necessary to mitigate or minimize uncertain outcomes.

This research primarily focuses on CA in India. Thus, it can be extended to cover diverse other countries for more precise results.

The results provide insights to the government to design the policies, better regulate and make investment strategies that can ultimately enhance CA. In addition, the study’s results also inform financial educators, policymakers, employers and academicians about the significance of several variables affecting CA in India.

From a social standpoint, this study is an advance that directs central banks and governments to develop, regulate and manage digital currencies and implement a digital currency ecosystem. Moreover, the results assist in understanding investors’ perceptions and decision-making perspectives toward cryptocurrencies through the country’s digitalization.

This paper fills the study gap to assist policymakers and cryptocurrency experts in broadening their knowledge base and recognizing prioritized intentions. Additionally, this study provides a theoretical model with the latent variable for a present and pertinent matter.

This study aims to investigate the factors that impact the solo travel intentions of millennial women in rural and urban areas. By exploring these factors, this research also sheds light on the similarities and differences in travel behaviors and motivations of women in different geographical contexts within India.

The purpose of this paper is to investigate millennials’ purchase behaviours towards green housing in India. This paper also examines the mediating effect of purchase intention between determinants of buying green housing and purchase behaviour in the real estate industry.

A cross-sectional research design was applied to collect data from 393 rural and 388 urban millennials. This study used “partial least squares structural equation modelling” to verify the framed hypotheses.

The outcomes indicate that attitude, environmental concern and green trust substantially influence the purchase intention and purchase behaviour towards green housing in rural and urban studies. However, perceived risk has an insignificant effect on purchase intention and purchase behaviour towards green housing in both studies. Likewise, innovativeness insignificantly impacts the purchase intention in study rural while substantially impacting the purchase behaviour in both studies. Additionally, a favourable relationship between purchase intention and purchase behaviour towards green housing in both rural and urban contexts.

This study provides fruitful evidence for practitioners, marketers and academicians about the drivers of purchase behaviour toward green housing. The results of this study also enable regulatory bodies to design appropriate strategies and tactics to foster the sustainable growth of nations.

This paper is a preliminary attempt to explore the decision to buy green housing in India. Furthermore, the authors targeted a specific age group, especially millennials, to gain a valuable understanding of how different factors affect green housing decisions in different areas, that is, rural and urban areas.

Crowdfunding has emerged as an alternative financing tool and recently gained attention to foster entrepreneurial dynamism and innovation. The current research has identified the determinants impacting the behavioral intentions of entrepreneurs to use crowdfunding for financing their small and medium-sized enterprises (SMEs).

The current article is based on a cross-sectional research design. This research collected the data of 422 owners and managers of SMEs through self-administered questionnaires in the Indian National Capital Region (NCR). The responses were collected from July 17 to October 27, 2022. This article used “partial least squares structural equation modeling” (PLS-SEM) for data analysis.

This article offered a robust model with a high explanatory value of 66% of behavioral intention and 62.1% variance in crowdfunding use behavior. The finding also highlighted that performance expectancy, social influence, facilitating conditions, trialability and perceived value significantly impact behavioral intention. However, effort expectancy and perceived risk insignificantly influence behavioral intention. Notably, facilitating conditions, trialability and behavioral intention positively impact use behavior.

The results of this study will bridge the gap in empirical research on crowdfunding adoption, shedding light on why entrepreneurs hesitate to adopt crowdfunding for financing. Moreover, these results will offer strategic insights for crowdfunding managers and policymakers, aiding them in making informed decisions.

To the best of the authors' knowledge, this pioneering study built the theoretical framework using three credible technology determinant models. The authors examined crowdfunding-specific contextual factors to improve understanding of the positive effect of technological orientation. This addition assists in strategically arranging entrepreneurs' fundraising conversations more efficiently.

This comparative research examines the factors influencing individuals' purchase intention toward green housing. By examining these factors, this study provides fruitful insights into the purchase intentions and behaviors for greenhouses among individuals of different age groups in India.

Data were gathered from Generation (Gen) X (313) and Generation (Gen) Y (297) using self-administered questionnaires. The “partial least squares structural equation modeling” was used to test the hypotheses.

The outcome shows that attitude and green trust substantially impact the green purchase intention of Gen X and Y. More specifically, environmental knowledge insignificantly influences the green purchase intention of Gen X while significantly influencing Gen Y. However, perceived risk insignificantly affects the purchase intention of both Gen X and Y. Consequently, green purchase intention substantially impacts the green purchase behavior in both studies.

This research focuses primarily on India; future research may be conducted in different geographical contexts. This study could also be extended to all age groups individuals.

The findings of this article facilitate policymakers, real estate developers and professional bodies in formulating strategies for sustainable nations in the future.

The current article is the initial empirical attempt to examine the home-buying decisions of individuals in India. Moreover, the role of Generation X and Generation Y in green housing purchase decisions will provide fruitful insights into how different age groups impact the decision-making process of green housing.

Financial satisfaction is a potential ambition of individuals' lives that requires well-strategized economic behaviors. The authors examine the impact of various factors on the financial behavior (FB) and financial satisfaction (FIS) of individuals in India's National Capital Region (NCR).

Through a literature review, a survey questionnaire was formulated using existing scales on FIS. For more in-depth insights, data are obtained from 427 respondents in the NCR region using self-administered questionnaires. This article used “partial least square structural equation modeling (PLS-SEM)” to inspect the hypothesized model of individuals' FIS.

According to the study results, financial attitude (FA), financial self-efficacy (FSE), financial knowledge (FK) and demographic characteristics (DC) significantly influence FB. Conversely, financial stress (FS) negatively impacts FB. It also highlights that FA, FSE, FK and FB all significantly impact FIS. Nevertheless, FS and DC insignificantly influence FIS.

To the best knowledge of the authors, this article is an initial attempt to offer a novel perspective of individuals' FB and FIS in India. It would help the government and stakeholders by providing various pioneering economic schemes and making policies that help increase individuals' FIS.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0239

Phygital emerges as a promising phenomenon, as it uses innovative technologies to connect digital spaces and physical places that provide customers with an interactive and unique experience. Drawing the stimuli–organism–response (S-O-R) framework, the study aims to examine the phygital customer experience by using key drivers and their effect on customer engagement (CE), trust (TRU) and patronage intentions (PI).

Data were obtained by using convenience sampling from 389 respondents from northern parts of India between December 2022 and February 2023. After checking reliability and validity, “variance-based structural equation modeling” has been applied to obtain results.

The outcomes reported that stimuli constructs such as customer brand experience (CBE), service quality (SQ) and emotions during the service (EDS) significantly influence organism (CE). However, pain points (PP) have a statistically insignificant impact on CE. Further, the outcomes also reveal a positive relation between organism and response variables (i.e. CE, TRU and PI).

This study’s results offer strategic insights to enhance CE and PI, ultimately contributing to the advancement of the retail banking industry. The financial service provider must prudently interrelate digital and physical platforms to make the customer journey fruitful.

To the best of the authors’ knowledge, this study is the first to look at the effect of key drivers on the PI of active retail banking customers in national capital region, India by using the S-O-R framework.

Financial technology (FinTech) is experiencing transformation because artificial intelligence has become the new norm to enrich the experiences of individuals in this modern era of technological advancement. The article utilizes the stimuli-organism-response (SOR) framework to investigate how individual attitudes and behavioral intentions influence the adoption of FinTech, particularly in mobile banking.

433 respondents participated in the self-administered survey to answer questions related to demographic profiles and items to assess the variables adopted in the conceptual framework. The study applied “partial least squares structural equation modeling” PLS-SEM to analyze the data.

A structural equation model indicates that perceived usefulness and ease of use significantly affect attitude and behavioral intention. Moreover, the outcomes show that perceived value and social influence significantly influence, while perceived risks and performance expectancy insignificantly affect behavioral intention. Further, the outcomes also confirm that attitude and behavioral intention substantially influence mobile banking adoption.

The article provides insights for practitioners to improve and assess the quality of mobile banking services by using proposed antecedents that may increase the actual use of FinTech services, which serves as a valuable resource for stakeholders.

The new research model adds to the existing literature by offering empirical evidence of mobile banking adoption by considering three theories. Further, the study builds upon the S-O-R framework that incorporates FinTech attributes to explain the antecedents of the actual use of FinTech towards mobile banking adoption.

The current study aims to identify the impact of financial literacy, financial risk-tolerance, financial socialization, financial stress, socio-demographic factors and financial behavior on the individual financial wellbeing residing in India's National Capital Region (NCR) region. Understanding financial wellbeing is crucial as it helps individuals understand personal finance better and develop a more favorable financial attitude. The information can depict individuals' financial skills, knowledge and attitudes toward achieving financial wellbeing in emerging economies.

Through self-administered survey questionnaires, data are obtained using convenience sampling from 420 (394) respondents regarding individual financial wellbeing levels in India. The survey responses were collected between May 2022 and July 2022. The authors use the “partial least squares structural equation modeling” (PLS-SEM) technique to test the research hypotheses.

The present study's outcome confirms that five determinants, such as financial literacy, financial risk-tolerance, financial socialization, financial stress and socio-demographic factors, significantly influence the financial behavior of individuals. Further, financial behavior, financial literacy, financial risk-tolerance and financial socialization significantly influence financial wellbeing. However, financial stress and socio-demographic factors have statistically insignificant impacts on financial wellbeing.

The present study is exclusive in which an effort is being made to acquire relative importance on financial behavior and an individual's financial wellbeing. The present paper will help the government, financial services providers, and policymakers in offering innovative economic schemes and designing policies that may enhance the financial wellbeing of individuals. Finally, this article provides the road map for future research in this field.