Search results

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.

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.

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.

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

This study aims to explore how information technology (IT) professionals perceive work-life balance (WLB) in a work-from-home (WFH) setup. Additionally, it explores what emotions one may associate with such changing work environments, which have high implications for organisational success.

The two primary research questions guided this research. An online questionnaire-based survey was conducted to collect the data so that respondents’ both subjective and objective perceptions were documented. Purposive cum snowball sampling was used to collect data from 262 IT professionals. However, the data was analysed using both qualitative (content analysis) and quantitative (chi-square) techniques.

The findings of this study are interesting in nature and reported the work-life experiences at various socio-demographic levels (age, gender, educational qualification, designation, work experience, income, type of family and the number of children). The comprehensive examination of the data obtained from diverse aspects related to remote work environments has shed light on crucial facets impacting IT professionals. A predominant observation derived from the study reveals a significant disparity in working hours between male and female respondents during remote work. This discrepancy is notable, with male employees tending to work longer hours (i.e. 10 or more hours daily) than their female counterparts. The investigation into respondents’ sleep patterns revealed that the majority slept between 5 h and 7 h daily, underscoring reduced sleep hours for IT professionals during remote work. This comprehensive study thus emphasises the multifaceted nature of gender-associated influences on work patterns, health and well-being during remote work scenarios among IT professionals. As remote work is the new normal, this study has high implications for future work arrangements and organisational success.

The findings of the study will assist managers in dealing with the work conflict issue of remote workers. Importantly, these managers should try eliminating or reducing workplace conflict, emotional exhaustion and social overload associated with remote work.

This study is a humble attempt to highlight the employee’s WLB in the context of WFH in an emerging market (i.e. India). Furthermore, emphasises practical issues associated with changing work paradigms and concludes with interesting recommendations for future work arrangements.