Despite the numerous advantages that different mobile payments can provide, their acceptance, and adoption rates are still relatively low. This study aims at investigating mobile payments and demonstrates how drivers and barriers that influence behavioral intentions to use mobile payments interact and support one another by combining the theory of planned behavior (TPB) and the innovation resistance theory (IRT). A self-administered online survey was employed to gather data from 341 users of mobile payments in the State of Kuwait. To test the proposed model and its hypotheses, responses were analyzed using a partial least square structural equation modeling approach (PLS-SEM). The results show that usage, value, risk, and tradition resistance-related factors are significant barriers towards behavioral intentions to use mobile payments, while the image barrier is insignificant. The findings also affirmed that perceived behavioral control and attitudes motivate and influence consumers’ behavioral intentions; however, the subjective norm was non-significant. The study’s findings have significant implications for scholars, mobile payments’ service providers, marketers, policymakers, and banks.

Investment in non-fungible tokens (NFTs) has decreased dramatically over the past two years, despite the financial value and potential importance of NFTs for the future of the economy and the current decentralized marketplaces. This study investigated the barriers influencing customers' resistance to investing in NFTs using the innovation resistance theory (IRT) components such as usage barriers, value barriers, risk barriers, tradition barriers, and image barriers. The data was gathered from 375 investors via an online questionnaire. To assess and evaluate the suggested model and its hypotheses, responses were investigated using a partial least square structural equation modeling approach (PLS-SEM). The findings indicate that the five resistance-related barriers are all substantial deterrents to investing in NFTs. The usage barrier was the most significant barrier, whereas the value barrier was the least significant. The study's findings have far-reaching implications for academics, NFTs’ marketplaces, policymakers, and investors.