Investigating antecedents of mobile payment systems’ decision-making: a mediated model

Alkhwaldi

Abdulmuhsin

et al. 2022

JFRA

Self Cite

Purpose The purpose of this study is to examine the factors influencing the usage of cloud-based accounting information systems (AIS) in the crisis era (i.e. the COVID-19 pandemic) by expanding the unified theory of acceptance and use of technology (UTAUT) with new related critical factors. Design/methodology/approach A quantitative research approach based on a cross-sectional online questionnaire was used for collecting empirical data from 438 potential and current users of cloud-based AIS. Structural equation modeling based on analysis of a moment structures 25.0 was applied in the data analysis. Findings The outcome of the structural path revealed that performance expectancy, social motivation, COVID-19 risk (COV-19 PR) and trust (TR) were significantly influencing users’ behavioral intention (BI) toward using cloud-based AIS and explained 71% of its variance. While, contrary to what is expected, the impact of effort expectancy and perceived security risk (SEC) on BI was insignificant. In addition, BI was revealed to influence the actual usage behaviors and explained 74% of its variance. The outcome factors: communication quality (CQ) and decision quality (DQ) were significantly influenced by the usage of cloud-based AIS. Practical implications The current research would be valuable for small- and medium-sized enterprises officials and policymakers to illustrate the relatively low rates of cloud-based AIS and formulate strategies to boost the acceptance and use of cloud-based AIS by Jordanian users, where cloud-based services are still deemed as an innovation. Originality/value To the best of the authors’ knowledge, the current study is the first academic paper that extends the UTAUT by integrating additional factors: TR, SEC and COV-19 PR. In addition to two outcome variables: CQ and DQ, to study the cloud-based AIS in the Jordanian setting beyond the COVID-19 pandemic. The current research contributes to the academic knowledge on information technology information system adoption by considering cloud accounting acceptance and use and integration into the work practices of users through the BIs and actual use of cloud-based AIS in Jordan.

Section: Discussionmentioning

confidence: 77%

Cloud-based accounting information systems usage and its impact on Jordanian SMEs’ performance: the post-COVID-19 perspective

Alkhwaldi

Abdulmuhsin

et al. 2022

JFRA

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“…Supporting facilities could include training, technical support, materials accessible to enhance users' skills and system accessibility. Previous studies also revealed the effects of the four constructs: PE, EE, SI and FC on the user's BI (Al-Okaily et al, 2022b;Tan, 2013;Wang et al, 2020). Drawing on the above discussion, the following hypotheses are inferred: H4.…”

Section: Theoretical Background and Research Modelmentioning

confidence: 79%

Investigating the antecedents of HRIS adoption in public sector organizations: integration of UTAUT and TTF

Alkhwaldi

Alobidyeen

Abdulmuhsin

et al. 2022

IJOA

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Purpose This paper aims to propose a user adoption model of human resource information system (HRIS) in the Jordanian public sector by integrating the task technology fit (TTF) model and the unified theory of acceptance and usage of technology (UTAUT). Design/methodology/approach Using a quantitative approach, survey data were collected using an online survey from employees working in four different public organizations in Jordan, and structural equation modelling has been used to validate the research model. Findings The study found that among the constructs of the UTAUT model performance expectancy, social influence and facilitating condition have a significant effect on users’ behavioural intention to adopt HRIS. Furthermore, the results also reveal that effort expectancy has an insignificant effect on adoption behaviour. The findings also show that all TTF hypotheses were supported by the data collected. Both task characteristics and technology characteristics have a significant effect on the TTF construct, which further determines users’ adoption behaviour. Originality/value These findings contribute to the extant academic literature and have practical implications, improving the understanding of the HRIS adoption and use in public sector organizations.

“…The empirical validation of the proposed model and hypotheses was done with SmartPLS 4 software analysis. This software has ability for analyzing complex models and it works well with small size data points as well as it commonly applied in IS research such as this one (Al-Okaily et al , 2022c, d, e, f). A SmartPLS algorithm, predictive and bootstrapping technique were run to determine loadings, path coefficients, determination coefficient, predictive relevance and significant levels.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis

Teoh

2023

BPMJ

Self Cite

101

PurposeA crucial question still remains unanswered as to whether data analytics-oriented business intelligence (hereafter, BI) technologies can bring organizational value and benefits. Thereby, several researchers called for further empirical research to extend the limited knowledge in this critical area. In an attempt to deal with this issue, we presented and tested a theoretical model to assess BI effectiveness at the organizational benefits level in this research article.Design/methodology/approachThe suggested research model expands the application of the DeLone and McLean model in BI technology success or effectiveness research from individual level to organizational level. A cross-sectional survey is developed to obtain primary quantitative data from business and technology managers who are depending on BI technologies to make operational, technical and strategic decisions in Jordanian-listed firms.FindingsEmpirical findings show that system quality, information quality and training quality are significant predictors of user satisfaction, but not of perceived benefit. Data quality was found to be a strong predictor of both perceived benefit and user satisfaction. The influence of perceived benefit on user satisfaction was significant in turn both factors positively affect organizational benefits.Originality/valueThis research paper is a pioneering effort to assess BI technology effectiveness at an organizational level outside the context of developed countries. To the best of the authors’ knowledge, no prior research has combined all dimensions used in this research in one single model.