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Health and fitness influencers who directly affect one’s well-being through their messages create situations of vulnerability that require trust. To understand the various dimensions of trust, this study integrated a typology of trust into source credibility theory. The purpose of the study is to explore the typology’s four trust dimensions concomitant with the perceived attractiveness and expertise of such influencers to identify consumers’ attitudes toward micro-health and fitness influencers.

This study used a manipulated-stimuli online survey and gathered 414 micro-influencer evaluations. Variance-based structural equation modeling was used to analyze the data.

The results supported the four of trust building. However, a less complex trust formation process was revealed, thereby contrasting the original trust theory formulation. Specifically, the effect of disposition to trust on institution-based trust was higher for regular than for heavy social media users. Also, compared to regular social media users, trusting intentions had a greater impact on heavy social media users’ attitudes toward micro-influencers. In addition, the effect of institution-based trust on trusting beliefs was higher for older than for younger participants. Furthermore, placement of congruent compared to noncongruent products created differences in perceived attitudes toward micro-influencers. In particular, disposition to trust had a larger effect on institution-based trust for noncongruent than for congruent product placements.

This study extended source credibility theory by including alternative trust dimensions – notably, non-situation-specific disposition to trust and institution-based trust, as well as situation-specific trusting beliefs and trusting intentions – into source credibility.

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.

This study explores features that impact consumers' purchase intention through artificial intelligence (AI), because it is believed that through artificial intelligence, consumers' intention to purchase grows significantly, especially in the retail sector, whereby retailers provide lucrative offers to motivate consumers. The study develops a theoretical framework based on media-richness theory to investigate the role of perceived anthropomorphism toward an intention to purchase products using AI.

The study is based on cross-sectional data through an online survey. The data have been analyzed using PLS-SEM and SPSS PROCESS macro.

The results show that consumers tend to demand anthropomorphized products to gain a better shopping experience and, therefore, demand features that attract and motivate them to purchase through artificial intelligence via mediating variables, such as perceived animacy and perceived intelligence. Moreover, trust in artificial intelligence moderates the relationship between perceived anthropomorphism and perceived animacy.

The study investigates and concludes with managerial and academic insights into consumer purchase intention through artificial intelligence in the retail and marketing sector.

Characterised by simultaneous food waste and shortages, our current food system is far from sustainable. Industry 4.0 has responded with technology-enabled innovations, including digital food-sharing platforms aimed at facilitating the efficient redistribution of surplus food. However, potential users often express reluctance to adopt such platforms, prompting this study to explore the underlying reasons for their hesitations.

This study was conducted in China, the world’s largest platform economy, where food-sharing platforms are notably absent. Using a vignette-based qualitative approach, semi-structured interviews were conducted with 35 potential users. The data were analysed through thematic analysis to uncover insights into adoption intentions.

The findings highlight the relevance of factors identified in existing technology acceptance theories, such as performance expectancy, effort expectancy, social influence, hedonic motivation, facilitating conditions and price value, in shaping adoption intentions. Additionally, content-specific and context-specific factors – such as trust in other users and the platform, concerns about “losing face” (mianzi) and safety concerns during the pandemic – emerged as critical influences on users' decisions to engage with these platforms.

This study contributes to scholarly discussions on enhancing the effectiveness of new technological innovations for food supply chain sustainability. The theoretical contributions expand the technology acceptance literature by incorporating factors related to platform service content and operating context.

Autonomous vehicles (AVs) have the potential to transform the infrastructure, mobility and social well-being paradigms in New Zealand (NZ) amid its unprecedented population and road safety challenges. But, public acceptance, co-evolution of regulations and AV technology based on interpersonal and institutional trust perspectives pose significant challenges. Previous theories and models need to be more comprehensive to address trust influencing autonomous driving (AD) factors in natural settings. Therefore, this study aims to find key AD factors corresponding to the chain of human-machine interaction (HMI) events happening in real time and formulate a guiding framework for the successful deployment of AVs in NZ.

This study utilized a comprehensive literature review complemented by an AV users’ study with 15 participants. AV driving sprints were conducted on low, medium and high-density roads in Auckland, followed by 15 ideation workshops to gather data about the users’ observations, feelings and attitudes towards the AVs during HMI.

This research study determined nine essential trust-influencing AD determinants in HMI and legal readiness domains. These AD determinants were analyzed, corresponding to eight AV events in three phases. Subsequently, a guiding framework was developed based on these factors, i.e. human-machine interaction autonomous driving events relationship identification framework (HMI-ADERIF) for the deployment of AVs in New Zealand.

This study was conducted only in specific Auckland areas.

This study is significant for advanced design research and provides valuable insights, guidelines and deployment pathways for designers, practitioners and regulators when developing HMI Systems for AD vehicles.

This study is the first-ever AV user study in New Zealand in live traffic conditions. This user study also claimed its novelty due to AV trials in congested and fast-moving traffic on the four-lane motorway in New Zealand. Previously, none of the studies conducted AV user study on SUV BMW vehicle and motorway in real-time traffic conditions; all operations were completely autonomous without any input from the driver. Thus, it explored the essential autonomous driving (AD) trust influencing variables in human factors and legal readiness domains. This research is also unique in identifying critical AD determinants that affect the user trust, acceptance and adoption of AVs in New Zealand by bridging the socio-technical gap with futuristic research insights.

This study aims to explore the antecedent factors that directly and indirectly influence electronic word of mouth (eWoM) for social commerce (s-commerce) in two developing countries (e.g. Kuwait and the United Arab Emirates [UAE]) by extending social cognitive theory.

This study uses a previous robust model (Rouibah et al., 2021) as theoretical background to investigate and compares the antecedents (trust in Instagram, perceived risks) on eWoM for s-commerce through the mediation of three mediators (perceived enjoyment, perceived value and customer satisfaction) among two Arab countries. Data was collected from Kuwait (n = 1,132) and the UAE (n = 190). Different statistical analyses and structured equation modeling-based analysis of moment structure are used to test the robustness of the research model.

This study found customer satisfaction to be most important factor that mediates the effect independent factors on eWoM for s-commerce in both countries. Surprisingly, perceived enjoyment has no effect, and trust in Instagram and perceived risks are the most important factors that are considered imperative for customer satisfaction and positive feedback.

One limitation of this study is that the author does not focus on the difference between the effects of textual and graphical information on customers’ decisions and trust in buying merchandise. Another limitation is that this study focuses on Kuwait and the UAE. Other Gulf Cooperation Council countries are also growing exponentially, and mobile and internet penetration rates are booming; they could be a trigger for more studies on whether differences occur among all of them.

The first implication is that it is the first in its field to extend the effects of eWoM. To the best of the author’s knowledge, compared to the online research this study is unique because the authors examine six factors for eWoM in s-commerce using the Instagram platform as opposed to other platforms.

The third implication of this study is that the previous ones have applied eWoM to different subjects of e-commerce such as tourism and marketing but have concentrated less on s-commerce, where in-depth research is needed much more to explore factors and theories that explain human behavior.

Furthermore, most of these studies have focused on the intention to use (Dincer and Dincer, 2023; X. Hu, Chen, Davison, and Liu, 2022; Zhou et al., 2023). However, the attention in this research is on the actual use.

This study aims to develop a highly loaded filament with spherical metallic particles for fused filament fabrication (FFF) technology. The research focuses on optimizing powder loading, printing parameters and final processes, including debinding and sintering, to produce successful metal parts.

The optimal powder loading was identified by measuring mixing torque and viscosity at various temperatures. The filament was extruded, and printing parameters − particularly printing speed to ensure proper material flow − were optimized. Different filling patterns were also examined. After printing, the polymeric binder was removed and the parts were sintered to form the final metal components.

The optimal powder loading was determined to be 55 vol.%. The best surface quality was achieved with an optimized printing speed of 5 mm/s. Parts printed with various infill patterns were studied for differences in open, closed and total porosity, showing a strong link between porosity and infill pattern.

This comprehensive study provides new insights into manufacturing metal parts using FFF technology. It fills a gap in the literature regarding feedstock viscosity and shear rate in highly loaded metal filaments during FFF. Additionally, it uniquely examines the open, closed and total porosity of metal parts printed with different infill patterns.

This study aims to develop customer trust through information quality, customer awareness, and perceived value. This study is motivated by the hustle and bustle occurred as the result of the socialization of MyPertamina, a digital payment service for subsidized fuel customers in 11 areas of 4 provinces in Indonesia. The hustle and bustle can be viewed as customer distrust of MyPertamina. However, customer trust is a business success key. Is MyPertamina a solution or problem maker for customers to buy subsidized fuel?

The design of this study is survey. Primary data are collected through questionnaires sent to subsidized fuel customers in the socialization areas of MyPertamina. The data are processed using SPSS and Amos programs.

PV, IQ and CA, respectively, can develop CT on MyPertamina. Although the PV cannot strengthen the effect of CA on CT, the construct can strengthen the effect of IQ on CT.

Indonesian Government via Pertamina, a state-owned enterprise, must develop CT through IQ, CA and PV to succeed the application of MyPertamina.

This study develops IQ, CA and PV based on technology acceptance model and theory of reasoned action to develop CT on MyPertamina.

This study aims to examine the impact of different subtypes of trust on the willingness of companies to share knowledge. To measure improvement in work performance, three perspectives of interpersonal trust, institution-based trust and their combined effect on fostering trust are examined.

A comparative analysis and quantitative measurement are used in this study (with a sample size of 147) to determine which knowledge-sharing channels need to be established to increase effectiveness and efficiency.

This study found that both interpersonal and institutional trust can positively influence employees' willingness to share personal knowledge. Despite this, the combination of these two types of trust cannot outperform the scenarios in which one type of trust can reach its maximum. As a result of institutional trust, trustees are more likely to trust others when they feel protected.

Trust may take on multiple dimensions in different business contexts and industries. In this study, the limited sample size and domain may only reveal some of these aspects of trust, which may not be representative of other contexts.

Few researchers have examined the degree of trust and its impact on knowledge dissemination using relevant parameters. Their focus is solely on the interaction between interpersonal trust and knowledge sharing. As a result of this study, the concept of “trust” was quantified, with more tangible metrics to provide better estimates when assessed in different business contexts.

This study aims to examine the effects on student motivation and perception of technological interventions within undergraduate mechanical engineering and product design and manufacture programs at a Sino-foreign international university. The authors use an augmented reality game application within a class on Design for Manufacturing and Assembly (DfMA) that was developed using the approaches of microlearning and digital game-based learning (DGBL).

Structured as design-based research, the study reports on developing innovative educational interventions and provides an empirical investigation of their effectiveness. Data were collected using a mixed methods approach, using pre- and post-tests and questionnaires, together with researcher observations and participant interviews.

Through two rounds of playtests, the game positively affected intrinsic motivation and encouraged higher-order cognitive learning, critical thinking, communication and collaboration. Collaborative learning plays a significant role, DGBL is preferred over traditional methods and microlearning reduces information density and cognitive overload.

The study contributes to our understanding of digital game-based interventions on students’ intrinsic motivation and provides insights into effective ways to design instructional materials in similar teaching and learning settings.