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The study provides a comprehensive understanding of the issues and illegal activities related to cryptocurrencies and their negative repercussions. This study aims to identify and classify cryptocurrency downsides using grounded theory and in-depth interviews. The study also analysed investors’ reluctance to invest in cryptocurrency. This pioneering qualitative study illuminates a deep and multifaceted criminal aspect of cryptocurrency.

The study conducted in-depth interviews with respondents who have experience and knowledge of cryptocurrency investments. The interviews were recorded and transcribed. The analysis was performed using the NVivo 14 software in the study.

The study specified two major types of cryptocurrency’s negative aspects: barriers and illegal usage. Barriers to cryptocurrency investment include technological, security, trust, market-related and regulatory reasons. Terrorist funding, money laundering, fraud and ransom payments are all examples of illegal usage. The results of the word cloud analysis are consistent with the overall findings of the survey, which highlighted illegal usage as a prominent negative element of cryptocurrencies. It is a key reason why cryptocurrency is not included in investing portfolios by investors.

The study’s findings provide useful insights for policymakers to develop better methods for successfully mitigating risks and ensuring responsible and sustainable usage of cryptocurrencies. In addition, the study could serve as a stepping stone for more cryptocurrency-related studies, contributing to the development of a more complete and nuanced comprehension of this emergent technology and its societal effects.

Post-millennial youths are well equipped with internet technology and computers since birth and find it easier to operate computers and technologies than their previous generations. With the advancement of technology, the ethical dilemma associated with its use has evolved. This paper aims to develop and validate a measurement scale for the ethical orientation of post-millennial technology usage by capturing the key factors that best describe the behavior adopted by students.

A systematic scale development procedure was used, involving both reviews of the literature and focus group discussions to generate the items that specify the domain of this study. After generating items, exploratory factor analysis and confirmatory factor analysis were applied to identify latent constructs of techno-ethical orientation. Lastly, the scale was subjected to reliability and validity testing.

The study found that the techno-ethical orientation scale has five dimensions: privacy concerns, classroom behavior, accessibility dilemma, social media usage and assignment ethics. Overall, a scale comprising 17 statements was derived.

The findings of our study attempt to augment the growing efforts to explore all facets of techno-ethics. It is probably the first attempt to develop a valid and reliable scale for the techno-ethical orientation of post-millennial.

This scale could be used by academicians and practitioners to assess the techno-ethical orientation of post-millennial for positive interventions.

This study derives a new reliable and valid scale for measuring the techno-ethical orientation of post-millennial toward technology usage.