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This study aims to investigate the influence of perceived government control (PGC) on cryptocurrency adoption and continuance intention among Indians through an integrated model of the extended Unified Theory of Acceptance and Use of Technology (UTAUT) with the Information System Success Model (ISSM).

This study examined the items of cryptocurrency adoption, continuance intention and PGC adopted from the information systems and cryptocurrency literature. The survey was administered to 391 Indians through an online questionnaire. Partial least squares structural equation modeling was used to analyze data.

Results have shown that social influence, effort expectancy and perceived trust are the major drivers for cryptocurrency adoption. All paths leading to cryptocurrency adoption were found to be significant in the hypothesized directions. The study also found that PGC moderates the relationship between adoption and continuance intention.

This study advances existing literature by empirically verifying the integrated UTAUT and ISSM in the context of cryptocurrency adoption for investment purposes. The findings offer crypto-developers and crypto-exchange insight into how adoption is diffusing in emerging markets. The findings provide policymakers with meaningful insights into the role of government regulations in cryptocurrency continuance intention.

This study explores the intricate relationship between social media communication, consumer attitude and purchase intention within the context of lifestyle category products. With the rapid proliferation of social media platforms, businesses have turned to these platforms to connect with consumers and influence their purchasing decisions. This study aims to provide an in-depth analysis of how social media communication strategies impact consumer attitudes and, in turn, influence purchase intentions.

The study employs partial least squares structural equation modeling (PLS-SEM) to analyze the data collected from a sample of consumers.

The results of this study present that lack of visibility (LV), low-efficiency levels (LEL) and unpredictable elements (UE) are ranked as the top three major risk hurdles whereas real-time information on a package’s location (LV1), putting a GPS tracking system to track last-mile journey (OT3) and users wants on time location of their package (LV2) are ranked as top three most significant criteria affecting the practices of modern last-mile logistics in e-commerce businesses.

The results of this study contribute to our understanding of how social media influences consumer behavior in the lifestyle product sector, shedding light on the underlying mechanisms that drive consumer purchasing decisions.

By constructing and testing experimentally a research model that reveals a thorough analysis of pertinent literature and identifies multiple important elements influencing consumer behavior in the lifestyle category, this paper adds to the body of knowledge on marketing. Practical ramifications for lifestyle firms are examined, along with suggestions for improving their social media tactics, in light of the findings.

This study aims to explore the influence of external factors and the characteristics of young Indian consumers on their behavioral intention toward fashion clothing rental (FCR), using the theory of reasoned action (TRA) as a theoretical framework.

This study used quantitative research methods, collecting data from 396 Indian participants, and tested the proposed hypotheses using PLS-structural equation modeling.

The results indicated that young Indian consumers' favorable attitudes toward FCR are mainly driven by perceived usefulness, novelty-seeking, fashion orientation, narcissism and environmental consciousness. These drivers, together with subjective norms, further lead to their intention to rent fashion clothing. This study also found that perceived risk has a negative impact on consumers' attitudes toward FCR, but minimalism does not significantly affect consumer attitudes.

By integrating additional constructs into traditional TRA, this study contributes to existing literature and provides insight for fashion retailers on the role of consumer characteristics in the adoption of FCR in emerging markets.

This study aims to investigate how fear of missing out (FOMO) mediates the relationship between cryptocurrency adoption intention and investment behavior among young Indians, using the extended unified theory of acceptance and use of technology.

The data were collected by using survey items on cryptocurrency adoption intention, investment behavior and FOMO derived from existing literature on information systems and cryptocurrencies. A total of 384 Indian participants completed an online questionnaire. The collected data was analyzed using PLS-SEM.

The findings indicate that facilitating conditions, social influence, effort expectancy and price value play important roles in cryptocurrency adoption. All hypothesized paths were significant, except for perceived risk. Furthermore, the study highlights that FOMO acts as a mediator between adoption intention and investment behavior.

This study makes a valuable addition to the literature by empirically exploring the influence of FOMO on the adoption of cryptocurrencies for investment purposes. The results provide valuable insights to crypto developers and exchanges regarding the diffusion of adoption in emerging markets. In addition, policymakers can gain meaningful insights into the influence of government regulations and FOMO on impulsive cryptocurrency behavior.