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

Big data analytics and innovation in e-commerce: current insights and future directions

Big data analytics (BDA), as a new innovation tool, played an important role in helping businesses to survive and thrive during great crises and mega disruptions like COVID-19 by transitioning to and scaling e-commerce. Accordingly, the main purpose of the current research was to have a meaningful comprehensive overview of BDA and innovation in e-commerce research published in journals indexed by the Scopus database. In order to describe, explore, and analyze the evolution of publication (co-citation, co-authorship, bibliographical coupling, etc.), the bibliometric method has been utilized to analyze 541 documents from the international Scopus database by using different programs such as VOSviewer and Rstudio. The results of this paper show that many researchers in the e-commerce area focused on and applied data analytical solutions to fight the COVID-19 disease and establish preventive actions against it in various innovative manners. In addition, BDA and innovation in e-commerce is an interdisciplinary research field that could be explored from different perspectives and approaches, such as technology, business, commerce, finance, sociology, and economics. Moreover, the research findings are considered an invitation to those data analysts and innovators to contribute more to the body of the literature through high-impact industry-oriented research which can improve the adoption process of big data analytics and innovation in organizations. Finally, this study proposes future research agenda and guidelines suggested to be explored further.

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

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.

Students’ Perceptions of the Sustainability of Distance Learning Systems in the Post-COVID-19: A Qualitative Perspective

The new Sustainable Learning and Education (SLE) concept was formulated in line with the Sustainable Development Goals (SDGs) announced by the United Nations. In order to achieve SLE, educational bodies need to utilize new technologies. Notably, the outbreak of the coronavirus (COVID-19) has forced educational institutions to utilize more innovative technological approaches to meet the objectives while still being in compliance with the doctrines of SLE. This research was conducted to explore the role of e-learning in transforming the academic industry in the post-COVID-19 time. The qualitative technique for interpretive phenomenological analysis (IPA) was applied to closely examine the participants’ lived experiences. The respondents were chosen from a private university in Jordan, and data were acquired through semi-structured interviews. Quality education, ease of technology, instructor accessibility and the use of online learning resources were the dimensions used for e-learning adoption. The findings highlighted that the students were truly overwhelmed by joining online platforms, but a lack of immediate feedback discouraged them. Besides this, the study will be useful to educational institutions in Jordan and other developing nations in gaining a better understanding of students’ attitudes about e-learning adoption.

Factors Influencing the Decision to Utilize eTax Systems During the COVID-19 Pandemic

This study examines the usage of eTax systems using the unified theory of acceptance and use of technology (UTAUT) as a theoretical base. A quantitative methodology using partial least squares-structural equation modelling (PLS-SEM) was used to test the study model against data collected from 209 taxpayers who completed the research questionnaire. The outcomes of this study manifest necessary theoretical extension of the UTAUT model and practical contributions during the pandemic of COVID-19. The findings of this study reveal that the behavioral intention to use eTax systems is highly influenced by performance expectancy, effort expectancy, social influence, social isolation, and anxiety about technology. Similarly, the behavioral intention of eTax systems and anxiety of COVID-19 infection demonstrate a substantial association with the actual usage of eTax systems. Interestingly, the study's findings also show that the anxiety of COVID-19 infection moderates the association bounded by usage intention and actual use of eTax systems.