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Social commerce has brought about a significant transformation in consumer experience due to diverse factors. As a result, users often find themselves prone to impulsive buying behaviour when exposed to such an environment. Prior research was limited to demonstrating the expanding influence of celebrities on social media and the linkage between social engagement and impulse buying context. Furthermore, the impulse buying tendency of consumers on social media in the context of celebrity posts has yet to be validated. This paper aims to assess the influence of consumer awareness, consumer trust and observational learning on the latent state-trait (LST) theory regarding celebrity posts on impulse buying tendencies.

The empirical research builds on a sample survey involving 750 students from the “Big Four” economics universities in Hanoi. The proposed model was analysed using a partial least squares structural equation modelling technique.

The authors find that consumer trust and observational learning from celebrity’ posts positively affect impulse buying tendency. Yet celebrity influence awareness directly impacts trust in celebrity’ posts rather than directly impacting impulse buying tendency. Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

From a theoretical perspective, this expands the applicability of the LST theory in social commerce to promote impulse buying tendencies. Second, this contributes to the literature on the emerging phenomenon of social media celebrities, as existing literature does not clarify their influence on impulse buying behaviour. Third, this research applies the concept of observational learning in online shopping through key features of social media platforms, namely, likes, shares and comments, to investigate their influence on the impulse buying tendency of consumers. Concerning managerial implications, the authors propose practical recommendations for practitioners, particularly those involved or interested in the commercial services industry and social media marketing (namely, celebrities and partner companies).

The purpose of the research is to investigate whether corporate social responsibility awareness (pCSR), environmental concerns (EC) and consumer environmental knowledge (CK) will have an impact on sustainable purchase intention (SPI). Furthermore, this paper also contributes to surveying the mediating impact of consumer attitudes (CAs) between intention and the three factors mentioned above.

SmartPLS (version 4.0) structural equation modeling (SEM) and quantitative methods were used to analyze 457 responses from consumers. The survey sample consisted of individuals between the ages of 18 and 34, with a male-to-female ratio of 70 to 30. The study aims to examine and put into practice new directions for manufacturing firms in the fields of fashion, food and consumer products. At the same time, provide more convincing evidence about the use of these fields in the research.

The study showed a favorable link between pCSR, EC, CK and SPI through the proposed hypotheses. The research additionally showed that CAs mediate between the aforementioned variables.

The important and distinctive results of this study encourage both consumers and enterprises to make changes in their perceptions of society. Consumers should gradually change their daily lifestyle by consuming more sustainable products. As a result, this outcome will provide the impetus for manufacturing businesses to alter their operational procedures in order to support the shift from the production of products to more friendly processes, with the help of all levels of management within the business.

This study sought to investigate the attitudes of Vietnamese undergraduate business students towards English-Medium Instruction (EMI) courses.

Data were collected through purposive sampling using structured questionnaires, resulting in a dataset comprising 291 responses. This study employs a combination of Importance–Performance Analysis (IPA) and structural equation modeling (SEM) to evaluate students' perceptions of effectiveness of EMI courses, their satisfaction and loyalty.

The study’s findings revealed a noteworthy pattern: students assigned higher levels of importance to various aspects of EMI courses than the actual performance levels of these elements. Additionally, the analysis identified specific attributes that fell into different IPA quadrants, shedding light on their relative significance. Notably, the students placed their teachers' professional expertise and English proficiency in the “keep up the good work” quadrant, indicating the strengths of these attributes. In contrast, learning assessment techniques, course learning materials and electronic teaching platforms were situated in the “concentrate here” quadrant, implying room for improvement in these areas. Furthermore, it was observed that attributes falling within the “keep up the good work” quadrant had a positive effect on students' overall satisfaction and loyalty, while other characteristics did not significantly contribute to predicting these outcomes.

Based on these findings, the study offers recommendations for educational institutions and educators concerning the planning and implementation of EMI courses.

The purpose of this study is to present a systematic analysis using a meta-analytical approach regarding the antecedents and consequences of the technology acceptance model (TAM) in the retail context. This paper also analysed five different theoretical models using meta-analytic structural equation modelling. Finally, this paper investigated possible moderators on the relationships between TAM constructs.

This manuscript is conceptual as it is based on a literature review. In this line, this paper analysed 85 articles by a meta-analysis that generated 431 effect sizes and identified 8 antecedents and 2 consequences of the TAM construct.

All antecedents and consequences promoted significant effect sizes with TAM constructs. In the moderation analysis, this paper determined that top journals and countries with a high human development index promoted more substantial effect sizes in the relationship between perceived usefulness (PU) and behavioural intention, and PU and attitude towards system use, respectively. About the theoretical models tested, this paper found that the antecedents enjoyment and trust represent the best fit in TAM models, which affects attitude and behavioural intentions.

This research tested the impact of TAM’s antecedents, consequences and moderators in the retail sector and presented important results via a meta-analytical review. This meta-analysis contributes to the marketing literature by offering a set of empirical generalisations, including relationship coefficients and calculated fail-safe numbers.

Mobile banking (or m-banking) has become an inseparable part of the modern finance model. Its success relies on customers’ affective responses and behavioral decisions. This study aims to examine the important determinants of positive word-of-mouth (POW) toward m-banking among older consumers.

A quantitative approach was applied in examining a proposed model with data obtained from 358 respondents based on a Web-based survey from Vietnam using a questionnaire.

It was determined that attitude, usage intention and satisfaction are the fundamental facilitators of POW in m-banking. Furthermore, perceived usefulness, ease of use and trust are the main predictors of attitude and usage intention, and epistemic value, conditional value, social value and technological value are the primary motivators of usage intention. Ease of use and trust positively affect perceived usefulness. Usage intention fosters higher levels of satisfaction. This study affirms the insignificant effects of ease of use and hedonic value on usage intention as well as satisfaction on attitude.

The findings are insightful for developers to concentrate on how to promote cognitive, affective and behavioral responses among old consumers in m-banking. Marketers should boost value perceptions and trust as the prerequisite underlying judgment and behaviors toward m-banking.

This work validates the synergistic model of POW among older consumers in m-banking by combining the technology acceptance model (TAM) and theory of consumption values (TCV). Thus, it would increase the exploratory power of the theoretical base toward m-banking and in an emerging market.

In recent years, the global focus has increasingly shifted toward the adoption of electric vehicles (EVs) due to growing concerns about environmental sustainability and the imperative of reducing greenhouse gas emissions. The transportation sector, a significant contributor to air pollution and climate change, faces increasing pressure to embrace EVs as a solution. However, the resistance exhibited by customers toward adopting new technology poses a substantial obstacle to the widespread adoption of EVs. Drawing on the link between theory of reasoned action (TRA) and self-congruity theory, this research aims to determine the factors that affect the customer intention toward EV.

The research conducts a questionnaire collecting 950 respondents from the Egyptian market. The research used primary quantitative data from online and self-administered questionnaires.

The findings indicated that green trust, price sensitivity and reliability have a positive impact on customer’s intention. However, self-image congruence was not affecting customer intention. For the moderating role of financial self-efficacy, it is affecting the relationship between price sensitivity and customer’s purchase intentions toward EV.

This research will expand the theory by conceptualizing its abstract notions through research variables and implementing them in the Egyptian market. Furthermore, it links the two distinct theories. This knowledge can be utilized by policymakers and stakeholders to expedite the adoption of EVs in the Egyptian market.

This study presents a conceptual framework for managers and policymakers about the factors that affect the customer to buy EVs, since the international organizations emphasize eco-friendly transportation systems.

The purpose of this paper is to explain how financial transparency affect the level of business innovation. The study is based on innovation level in European companies from STOXX Europe 600 index. The authors test three hypotheses about accounting conservatism, earning management and timeliness of financial information disclosure and their impact to the innovation level.

Data from a sample of 316 European firms spanning the years 2014–2020 are used to test the model using panel data and multiple regressions feasible generalized least squares (FGLS). The results withstand a battery of robustness tests, including other measures of earnings management and endogeneity tests including generalized method of moments (GMM) estimations and sub-sample analysis.

The regression findings show that accounting conservatism negatively influences the level of innovation of a company. This implies that accounting conservatism breeds myopia in managers. In addition, it is shown that discretionary accruals and timeliness of disclosure have a positive impact on corporate innovation levels. The impact of financial transparency can be shown to be stronger for firms in the UK, France and Germany, but not for other European firms. The study is relevant for the creative destruction and the resilience theories.

In the face of mixed results from studies linking financial transparency to corporate innovation levels, this study is designed to make one type of contribution: financial and accounting property as indicators of financial transparency may play a role in promoting or discouraging innovation.

This study examined the influence of information and communication technology (ICT) on Nigeria's trade in sectors. Specifically, the research evaluated the effects of internet penetration, mobile phone subscriptions and fixed telephone subscriptions on exports and imports.

The study considered data from 1995 to 2022, highlighting ten trade sectors per standard international trade classification (SITC) single digit. It utilised the panel auto-regressive distributed lag (ARDL) with a preference for a pooled mean group (PMG) estimator.

The study finds that, in the short run, increases in internet penetration, mobile phone subscriptions and fixed telephone subscriptions significantly decrease export levels in Nigeria. Nonetheless, ICT advancements, particularly in mobile and fixed telephone subscriptions, significantly boost import activities by 17.9 and 41.5% in the long run, highlighting their positive impact on trade dynamics. In the long run, mobile telephone subscriptions substantially negatively affect exports. In contrast, internet penetration and fixed telephone subscriptions show no significant impact, indicating differing influences of ICT components on trade over time.

The study underscored the need to prioritise enhancing ICT infrastructure to boost export growth, especially in sectors identified under the SITC framework. Strategies should be developed to mitigate the negative impacts associated with ICT advancements.

The study used the SITC framework, which presents different export and import sectors. It offers a distinctive examination of the short- and long-term effects of ICT on Nigeria's trade sectors. It also provided valuable insights into the impact of mobile and internet technologies on exports and imports, highlighting sector-specific effects and the need for strategic resource allocation.

This study aims to investigate the factors that influence practitioners’ online learning for skills development on Islamic digital social finance (SF) massive open online courses (MOOCs) on the United Nations (UN) Sustainable Development Goals (SDGs) by extending the technology acceptance model.

This study is based on a questionnaire survey using snowball sampling, covering 311 respondents who are practitioners from the SF domain who are interested in using MOOCs. The software Analysis of Moments Structures (AMOS v.28) was used to analyse the data.

The results indicate that online collaborative learning and perceived usefulness significantly determine MOOCs’ online learning acceptance (MOCA). Perceived ease of use is a weak predictor of the MOCA.

This study is limited in terms of the sampling frame and variables studied. Future studies may add variables concerning self-regulated learning and self-efficacy to capture an extended scope.

This paper is a valuable reference guide for online course organisers, higher education administrators and future researchers.

This study offers insight into how MOOCs can spread information and raise public awareness for customised social sustainability investigations to a substantial community of learners nationally and globally.

This study is one of the pioneering studies on MOOCs’ online learning acceptance by practitioners for SDGs in Islamic social finance.

Traditional procurement approaches are no longer sufficient amidst dire environmental challenges caused by the construction sector. Yet, it is unclear from existing studies what factors could encourage alternatives such as circular procurement (CP). Thus, this study aims to investigate the determinants of CP adoption in the global construction industry.

The study employs a mixed-method approach involving focus group interviews with circular experts and engaging 194 international construction professionals using a questionnaire survey. Multiple statistical techniques, including exploratory factor analysis and fuzzy synthetic modelling, were employed to analyze the data.

The study identified fourteen key benefits that drive the adoption of CP practices in construction, with “Waste management throughout the construction lifecycle,” “Integration of supply chains” and “Opportunities from new business models” as the three most significant. However, a deeper analysis of the interconnections between these drivers revealed four clusters of principal benefit drivers (PBDs). The four principal groups were “lifecycle cost optimization,” “climate impact mitigation,” “circular capability and waste reduction” and “supply chain collaboration.” Through fuzzy synthetic modeling, it was predicted that three out of four PBDs exerted high levels of influence and should be prioritized for developed economies, while all four PBDs had significant levels of influence in developing regions.

The findings provide a useful reference point for policymakers, practitioners and researchers in formulating strategies to accelerate the adoption and implementation of CP practices in different construction industries.

The study provides a novel perspective on CP adoption through understanding and promotion of its benefits. This offers a valuable framework for decision-making in two regional contexts.