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This study aims to examine how virtual influencers (VIs) affect purchase intentions in tourism and hospitality e-commerce live streaming (THCLS) by focusing on the roles of VIs’ source credibility, trust in products, trust in VIs, emotional engagement, parasocial relationships and influencer–product congruence.

Survey data from 416 active viewers of VIs in THCLS were analysed using partial least squares structural equation modelling.

This study highlights the importance of the VIs’ source credibility, which positively affects trust in the product, trust in VIs and emotional engagement. However, source credibility does not have a positive impact on parasocial relationships. Trust in products positively influences trust in VIs. Emotional engagement and trust in VIs significantly influence parasocial relationships, which, positively affects purchase intentions. Influencer–product congruence strengthens the link between parasocial relationships and purchase intentions but does not moderate the relationship between trust in VIs and purchase intentions. No significant gender differences were observed, although minor discrepancies were noted in the effect of trust in products on trust in VIs. The importance–performance map analysis revealed that parasocial relationships are the most important factor influencing purchase intentions, while influencer–product congruence has the highest performance, trust in products is the least important and VIs’ source credibility has the lowest performance.

This study provides actionable insights for marketers leveraging VIs in the THCLS sector, emphasizing strategies to enhance VI credibility, foster parasocial relationships, ensure influencer–product congruence and adopt gender-neutral marketing approaches to effectively influence purchase intentions.

This study offers theoretical and practical insights into the role of VIs in THCLS, illuminating their impact on consumer behaviour and purchase intentions.

This study mainly aims to explore the causal nexus between big data-driven organizational capabilities (BDDOC) and supply chain innovation capabilities (SCIC) and innovation performance (IP), then explore the indirect effect of SCIC and also test the moderating effects for both internal supply chain integration (ISCI) and external supply chain integration (ESCI) into the relationship between BDDOC and SCIC.

In order to test the conceptual model and the hypothesized relationships between all the constructs, the data were collected using a self-reported questionnaire by workers in Jordanian small and medium manufacturing enterprises. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the model.

The paper reached a set of interesting results where it was confirmed that there is a positive and statistically significant relationship between BDDOC, SCIC and IP in addition to confirming the indirect effect of SCIC between BDDOC and IP. The results also showed that there is a moderating role for both ESCI and ISCI.

This study can be considered the first study in the current literature that investigates these constructs as shown in the research model. Therefore, the paper presents an interesting set of theoretical and managerial contributions that may contribute to covering part of the research gap in the literature.

Financial firms are looking for better ways to harness the power of data analytics to improve their decision quality in the financial modeling era. This study aims to explore key factors influencing big data analytics-driven financial decision quality which has been given scant attention in the relevant literature.

The authors empirically examined the interrelations between five factors including technology capability, data capability, information quality, data-driven insights and financial decision quality drawing on quantitative data collected from Jordanian financial firms using a cross-sectional questionnaire survey.

The SmartPLS analysis outcomes revealed that both technology capability and data capability have a positive and direct influence on information quality and data-driven insights without any direct influence on financial decision quality. The findings also point to the importance and influence of information quality and data-driven insights on high-quality financial decisions.

The study for the first time enriches the knowledge and relevant literature by exploring the critical factors affecting big data-driven financial decision quality in the financial modeling context.

The purpose of this study was to investigate the connection between green human resource management (GHRM) and corporate social responsibility (CSR). In addition, this study also investigates how the impact of GHRM varies depending on the extent of transformational leadership.

Adopting a quantitative approach, the sample consists of 376 employees who hold leadership positions in the academic body and those who work in human resources units at universities who won the Web Metric Award.

Results have shown that all GHRM practices were found to have a significant and positive effect on CSR. In addition, the findings revealed that transformational leadership positively moderates the relationship between GHRM and CSR.

The findings of this study contribute to the existing body of knowledge by providing empirical evidence of the positive relationship between GHRM practices, transformational leadership and CSR performance. In addition, the study highlights the moderating influence of transformational leadership on the relationship between GHRM and CSR, suggesting that transformational leadership can increase the efficacy of GHRM practices in promoting CSR outcomes.

Most of the previous studies agree about the significance of user satisfaction in ensuring the endurance of information systems (ISs). Accordingly, it is crucial to investigate the effect of e-Government systems on individual end-user satisfaction as more and more countries adopt and deploy such Government Financial Management Information Systems (GFMIS) in the era of digital transformation. Because of this, the purpose of this study is to investigate the factors that contribute to the success of GFMIS in Jordan and ultimately the satisfaction of its users.

The IS success model developed by DeLone and McLean (2003) serves as the theoretical underpinning for the current research. Adding training quality as a new variable to the proposed model has been found to further increase the satisfaction of GFMIS users. A total of 104 GFMIS users in Jordan provided the data used to verify the model. The partial least squares-structural equation modelling was used to test the hypotheses.

The empirical findings indicated that GFMIS user satisfaction is significantly affected by information quality, service quality and perceived usefulness; meanwhile, system quality is only partially supported. The research also showed that the level of satisfaction among Jordanian GFMIS users was related to the quality of training they received.

This study fills a crucial literature gap by developing a research model that can help improve GFMIS usage towards attaining greater performance amongst government agencies in Jordan.

Food waste among young consumers is a significant concern that threatens food sustainability due to consumption behaviour. This study has integrated the Theory of Interpersonal Behaviour to extend the Theory of Planned Behaviour to measure young consumer’s intention to reduce food waste in a developing country context. Bringing in emotion, habits, and facilitating conditions to predict the consumers' attitudes, this study assesses the intention to reduce food waste for corporate sustainability from the perspective of consumption.

Using a quantitative approach and purposive sampling, 205 samples were collected from the young generation aged 18 to 30, who frequently have meals at home. The PLS-SEM technique was employed to examine the hypothesised model.

The findings supported all the hypotheses mentioned where attitudes, subjective norms (SN) and perceived behavioural control (PBC) affect the intention to reduce food waste among young consumers. Furthermore, the other variables, namely, habits, emotions and facilitating conditions, also significantly impact the attitudes of the young generation.

Understanding young consumers' food waste behaviour is vital from the social, economic, and environmental perspectives. This study showcases a comprehensive food waste behaviour model among young consumers by integrating the Theory of Interpersonal Behaviour and the Theory of Planned Behaviour to examine the intention to minimise food waste. Practically, this study offers insights to business practitioners and communities in managing food waste from the young consumer perspective. Socially, this study supports the United Nations' (UN) Sustainable Development Goals (SDG) 12 by contributing to global food waste reduction efforts.

Strategic leveraging of Mobile Commerce (M-commerce) holds immense potential for augmenting firm performance within the realm of Small and Medium Enterprises (SMEs) in Malaysia. This study seeks to unravel the important role played by specific factors, namely, relative advantage, security, complexity, firm performance, organizational competence, M-commerce knowledge, competitive pressure, customer value and information intensity in influencing M-commerce adoption and its subsequent impact on SME performance. Drawing on the Technology-Organization-Environment (TOE) framework, the study posits that technological factors (relative advantage, security and complexity), organizational factors (organizational IT competence and M-commerce knowledge) and environmental factors (competitive pressure, customer value and information intensity) collectively shape M-commerce adoption, thereby influencing SME performance.

The study employs a quantitative approach, engaging SME owners in Malaysia as participants, with a sample size of 150 selected through an online survey. Analysis was conducted using Smart PLS, revealing crucial insights.

The investigation revealed a positive relationship between relative advantage, security, complexity, competitive pressure, customer value and information intensity, and the adoption of M-commerce within SMEs in Malaysia. Moreover, a positive relationship was identified between M-commerce adoption and firm performance among Malaysian SMEs. Intriguingly, there was no discernible relationship between Organizational IT competence, M-commerce knowledge and the adoption of M-commerce.

This research contributes to the scant literature exploring SMEs’ inclination toward M-commerce for performance enhancement. The proactive adoption of M-commerce stands poised to empower SMEs in Malaysia, enabling them to play a more substantial role in the national economic structure. Consequently, it emphasizes the need for effective communication of government policies pertaining to M-commerce adoption, particularly among SME stakeholders.

The purpose of this study is to examine the factors that may have an influence on the continuous intention to use mobile money as one of the Financial Technology (FinTech) products beyond the COVID-19 pandemic lockdown period.

This study has empirically tested the expanded post-acceptance model (Extend-PAM) and the expectation-confirmation model (ECM) to explain the mobile money adoption in Jordan. Data collected were analyzed through partial least squares–structural equation modeling (PLS-SEM).

The results mainly showed that the quality of administrative services and trust significantly impact confirmation and perceived usefulness. In addition, perceived security and knowledge of mobile money as one of the FinTech services significantly influence users’ confirmation and perceived usefulness. Also, usefulness and satisfaction influence continuous intention. Significant relationships were noted among confirmation, perceived usefulness, satisfaction and continuous intention to use mobile money.

This paper integrates two key theories: the expanded post-acceptance model (Extend-PAM) and the expectation-confirmation model (ECM) in the post-adoption behavior of mobile money. Therefore, this study attempts to fill a literature gap by examining the antecedent factors that influence the continuous intention to use mobile money services in the post-consumption stage.