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.

This study proceeds from a central interest in the importance of assessing the IS-Support provided to key-user groups. This study conceptualized a new multidimensional IS-Support construct with four dimensions: training, documentation, assistance and authorisation, which form the overarching construct – IS-Support. We argue that a holistic measure for assessing IS-Support should consist of dimensions, and measures, that together assess the support provided to IS key-user groups. The proposed IS-Support construct is defined as the support that IS key-user groups receive to increase their capabilities in utilizing information systems within the organization. Using a partial least square structural equation modeling (PLS-SEM) approach on data collected from 221 participants, this study rigorously hypothesized and validated the IS-Support model. Implications for research and practitioners as well as insights for future research is discussed.

This paper empirically identifies the predictors influencing the use of promo code in Jordan. This research extended TAM and TBP models with perceived enjoyment and brand image in the context of digital shopping features. The study utilized 379 surveys distributed in Jordan and analyzed the data using SEM. Findings of this study confirmed the proposed model, where brand image, perceived enjoyment, perceived behavior control and social influence significantly predict customers behavioral intention to use promo code with an R2 = 59%. The model of this study also supported the role of perceived ease of use and social influence in predicting brand image. Discussion and conclusion are depicted at the end of this paper.