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Cryptocurrency, an important application of blockchain technology, has gradually circulated, and its use has become widespread. While cryptocurrency is growing rapidly, potential risks are simultaneously emerging. Users thus may abandon their usage behavior of cryptocurrency, hindering the future development of cryptocurrency. While prior studies focus more on the intention to use cryptocurrency in the pre-adoption phase, less studies pay attention to discontinuance usage intention in the post-adoption phase. To fill this knowledge gap, this stfudy aims to explore factors that cause discontinuance usage intention regarding cryptocurrency.

Based on the net valence framework theoretically grounded on the theory of reason action, a dilemmatic dual-factor model is proposed to figure out cryptocurrency users' discontinuance usage intention from the perceived risk and perceived benefit. This study identifies four potential risks and three potential benefits that affect perceived risk and benefit. The model with nine hypotheses were developed, and research data were collected by a survey method. A total of 343 valid responses were received, and PLS-SEM with SmartPLS was utilized to test the nine hypotheses, with seven hypotheses supported empirically.

Our findings demonstrate that financial, legal and operational risks are critical to increase users' perceived risk, and perceived usefulness and seamless transactions play important roles in enhancing users' perceived benefit. Moreover, while perceived risk can increase users' discontinuance usage intention to cryptocurrency, perceived benefit can mitigate such intention.

This study contributes nascent knowledge to the literature by examining factors that influence discontinuous usage intention in regard to cryptocurrencies, to firms that have issued or attempted to issue cryptocurrencies and to the potential users of cryptocurrencies by adjusting the mode of operation and investment strategies and reducing user costs, achieving a win-win situation for firms and users.

This paper aims to explore and gain a better understanding of the relationship between power circumstances and the environmental uncertainty perceived by managers.

This paper conducted a survey of 1,000 manufacturing firms selected randomly from the Top 5000 largest firms in Taiwan. The responding firms were clustered by K‐means into four groups of power circumstances. The paper then applied MANOVA and ANOVA to test the differences among the three types of supply chain uncertainty across the four groups.

The results show that power circumstances are associated with managers' perceptions of environmental uncertainty in terms of demand, technology, and supply. This paper finds that managers of buying firms in dominant positions perceive a lower demand uncertainty while managers facing higher supplier power perceive greater uncertainty in technology. For buying firms under ambiguous power circumstances, their managers tend to perceive higher supply uncertainty. The paper then put forth six power‐based propositions on the basis of their results.

Given that the data are from large‐sized firms, the generalizability of their findings to smaller firms may be limited.

When developing strategies to tackle environmental uncertainties, managers should consider their firm's power circumstances because these tend to influence the managers' interpretation and decisions and thereby their subsequent strategies.

Although environmental uncertainty has been addressed extensively in various management fields, how the environmental uncertainty perceived by a firm's managers is related to the power the firm holds has never been empirically examined. This study clarifies this issue.