Search Results (3)

Purpose: This research attempts to profoundly understand the factors influencing the usage of e-tax declarations. Design/methodology/approach: In a cross-sectional survey, partial least square-structural equation modeling (PLS-SEM) is used to examine the hypotheses on 182 academic taxpayers working in Public Universities in Jordan. Findings: The findings indicate that knowledge, subjective norms, and attitude play a vital role in taxpayers’ usage of e-tax declarations. Moreover, knowledge confirms the power of the Theory of Planned Behavior (TPB), which helps predict people’s behavior. However, the results reveal that awareness does not moderate the previously mentioned relationship. Research limitations/implications: The sample size is limited, and the participants were academics who work at public universities. Therefore, it is advisable to study larger sample size to confirm the study’s results. Moreover, further research could diversify the sample in terms of occupation, digital divide, and e-literacy, as these factors may significantly impact e-tax declaration usage. A comparison across various groups would be beneficial in gaining a better understanding of the demographics and variables that impact the use of e-tax declarations. The second limitation is the collection of mainly quantitative data; collecting qualitative data to further understand the main factors that could affect the usage of e-services would play a role in supporting the study’s findings. Practical implications: This study provides strategic guidance for Jordanian policymakers in improving citizens’ acceptance of mandatory e-services usage by affecting their knowledge, attitude, and subjective norms. As a result, these practical suggestions positively influence taxpayers’ usage of e-services, which contributes to their usage of optional ones. E-service adoption rates may rise by emphasizing their benefits, such as improving equity, efficiency, life quality, and limiting adverse environmental effects. Originality/value: This study expands the scope of mandatory public e-services research. Full article

Due to the growing notion of environmental protection, many restaurants have started to apply operational practices to diminish their carbon footprint, leading to the emergence of “green” restaurants. Green restaurants are establishments committed to minimizing adverse environmental consequences throughout their operations. Nevertheless, further research is warranted to examine consumer behavior in this field. Taking the consumers’ perspective, this study uses an augmented theory of planned behavior (TPB) and a cross-section of 896 British diners to explain their dining intentions towards green restaurants. The extended model of the TPB was tested to justify the addition of past behavior and the impact of sociodemographic characteristics. Using structural equation analysis, the results identified past behavior, perceived behavioral control, subjective descriptive norms, and attitude as critical factors influencing behavioral intention. Furthermore, apart from gender, the relationships between sociodemographics and intentions to dine at green restaurants were insignificant. This research provides insightful implications in the green restaurant domain and suggestions for future research. Full article

Financial technology (otherwise known as FinTech) refers to a type of technology and innovation that tries to improve and automate the delivery and use of financial services. Despite the importance of this technology in people’s financial transactions in improving the management of their financial operations, processes, and lives, there is a lack of empirical evidence about sustainable FinTech services in the Jordanian context. Consequently, this research examines the factors that influence the acceptance of FinTech services, which have a variety of social, environmental, and ecological benefits. This study proposes an integrated model by combining the extended technology acceptance model (TAM) with the perceived enjoyment as an independent variable and electronic word of mouth (eWOM) as a moderator variable simultaneously. A total of 304 responses from Jordanian citizens were analyzed by the quantitative method of partial least squares structural equation modelling (PLS-SEM). The result confirmed that perceived usefulness and perceived enjoyment have a significant and positive influence on users’ decision to use FinTech services. Meanwhile, eWOM is found to moderate the relationship between perceived usefulness and Jordanians’ decisions to use FinTech services. Finally, this study provides practical implications for managers to encourage them to provide adequate, reliable, and sustainable services to their customers at a reasonable cost that fit their demands and ultimately improve their living standards. Current study limitations and future research directions are presented in the last section. Full article