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The effectiveness of a message and its attributes have become important for digital media. This study aims to investigate how different elements of a website including both argument-oriented and emotional stimuli based on the elaboration likelihood model (ELM) can affect the issue involvement and change the attitude of the website visitors of a healthcare service provider.

The Ministry of Health and Education (MOHME) website was selected to explore how its content and design can persuade visitors. An online survey was conducted on 355 adults engaging in health protection behaviors during the COVID-19 pandemic.

Structural equation modeling (SEM) analysis showed that one design element, i.e. website navigation and one social cue, i.e. social connectedness, have positive impact on issue involvement, while social presence and website satisfaction have a negative effect on issue involvement because of the random fluctuation suppressor effect. In addition, prior knowledge significantly influenced the issue's involvement. Further, website satisfaction has impacted attitudes directly. There was no significant relationship between argument quality and issue involvement.

Previous works have studied health-related behaviors in offline contexts; however, the scholars have not focused on the individuals' persuasion using ELM regarding the healthcare services provided in online communities. The results of the current study have theoretical and practical implications for scholars, website designers and policymakers.

This research paper aims to examine consumers' perceptions and behaviours towards “pre-loved luxury fashion products” and focusses on analysing the moderating influence of consumers' attitude strength. Additionally, it investigates the impact of desirability in sustainable luxury experiences (LEs) on consumers' purchase intentions (PIs). The study draws inspiration from the Norm Activation Model theory and operationalises attitude strength using the Elaboration Likelihood Model theory.

Purposive sampling technique was employed to collect 317 useable samples from respondents who had previously purchased or intended to purchase pre-loved luxury fashion goods. SPSS and AMOS version 25 was used for data analysis.

The findings reveal that consumers' environmental concern influences their intention to purchase pre-loved luxury fashion products. Furthermore, sustainable LE acts as a significant mediator in this relationship. The study also demonstrates that the intention to purchase pre-loved luxury fashion products is strengthened when consumers possess a strong attitude towards them.

Luxury marketers can strategise accordingly to motivate consumers to purchase pre-loved luxury fashion products by resonating with their cultural correlates through persuasive advertising to favourably affirm their attitude towards pre-loved luxury fashion products.

This study contributes to the literature by addressing the unresolved area of PIs for pre-loved luxury fashion products, considering the moderating role of attitude strength in emerging markets. It highlights the significance of advocating and promoting pre-loved luxury fashion products and provides valuable insights for luxury marketers.

This study aims to examine the mediating role of product judgement in the relationship between electronic word-of-mouth (eWOM) and purchase intention. Additionally, it explores the moderating effects of source credibility and consumer ethnocentrism on the relationship between eWOM and product judgement, with a specific focus on Halal products. We utilise the Elaboration Likelihood Model (ELM) to investigate how individuals navigate the processing of information, distinguishing between central and peripheral routes. This exploration aims to enhance our understanding of how the ELM framework influences product judgement and purchase intention in the context of eWOM, with a focus on Halal products.

To achieve these objectives, an online survey was conducted in the United Kingdom. The study employed a moderated-mediation model, analysed using PLS-SEM.

The findings highlight the significant role of source credibility in the central route of information processing and purchase judgements. This study confirms that Halal product judgement fully mediates the relationship between eWOM and purchase intention. Additionally, it reveals that higher source credibility amplifies the impact of eWOM on consumer judgement. However, no significant moderating effect of consumer ethnocentrism on the relationship between eWOM and product judgement was observed in this context.

This study enhances our understanding of how Halal products are adopted in non-Muslim societies, shedding light on persuasive processes. Additionally, it refines the ELM in the context of cross-cultural consumer behaviour. The findings underscore the importance of prioritising source credibility in communication to shape information evaluation and persuasion.

This paper aims to demonstrate how the design of data visualisations can act as a tool to support social marketing messages in prompting behaviour change to reduce food waste using the Elaboration Likelihood Model (ELM) as a theoretical framework. It also responds to a lack of consumer-led insight to develop campaigns in reducing food waste.

The research uses data collected by the End Food Waste Cooperative Research Centre (EFW CRC) in Australia to determine which text-based campaign messages are most likely to prompt people toward reducing food waste. Behaviour change messages were first identified through workshops with 11 food waste experts, then explored through online focus group discussions with 18 participants from three food-wasting market segments. The messages were further tested via a quantitative survey among 1,000 decision makers in Australian households in their own homes, with the top three performing messages examined using summative content analysis.

The significant findings were that participants want to see 1) evidence of how adopting new behaviours would lead to financial savings and benefit the environment, and 2) concrete steps to reduce food waste. When examined through the ELM, the findings suggest that tools that encourage both cognitive and peripheral processing as a means of persuasion, like data visualisations, may be useful for changing food-wasting behaviours.

Applying principles from the field of communication design to the ELM has uncovered the potential for a cross-disciplinary approach to enhance theoretical frameworks for understanding consumer engagement with messages. This process in turn, may lead to the development of more effective behaviour change marketing strategies.

Six principles for using data visualisations in a social marketing campaign are proposed: personal relevance, ease of use, emotional storytelling, context, prioritising the message itself and long-term usage.

This study proposes that data visualisations could enhance the effectiveness of social marketing campaigns by leveraging consumer-derived insights and the persuasive capacity inherent in their theoretical underpinnings.

Compared to traditional (domestic) e-commerce consumers, cross-border electronic commerce (CBEC) consumers may face greater information asymmetry in the CBEC purchase process. Given this background, however, the literature has paid limited attention to the informational antecedents that influence consumers' perceptions of transaction costs and their CBEC purchase intentions. To fill this gap, this study integrates the elaboration likelihood model (ELM) and transaction cost theory (TCT) to develop a model for exploring how product (website informativeness, product diagnosticity and website interactivity as the central route) and external (country brand, website policy and vendor reputation as the peripheral route) informational antecedents affect consumers’ evaluations of transaction costs in terms of uncertainty and asset specificity and their CBEC purchase intentions.

This study employs a survey approach to validate the model with 766 Generation Z CBEC consumers based on judgment sampling. The partial least squares (PLS) technique is adopted for data analysis.

The results show that all the proposed central and peripheral informational antecedents reduce consumers’ perceptions of uncertainty and asset specificity, which in turn negatively influences their CBEC purchase intentions.

Through this investigation, this study increases our understanding of how product and external informational antecedents affect consumers’ evaluations of transaction costs, which subsequently determine their CBEC purchase decisions. This study offers theoretical contributions to existing CBEC research and has practical implications for CBEC organizations and managers.

This study aims to examine the relative importance of the impact of central and peripheral route processing of online reviews (ORs) on the acceptance of paid mobile apps among consumers in a fully Islamic market. The authors used the elaboration likelihood model (ELM) and technology acceptance model (TAM) to explain how ORs influence users’ perception and purchase intention of paid mobile apps.

An online survey of 384 Iranian paid mobile app users was conducted to compare the role of overall product ranking, argument quality and information quantity on the perceived usefulness (PU) and perceived ease of use (PEU) of mobile apps and purchase intentions of paid mobile apps.

Results show that only overall product ranking and argument quality influence perceived PEU and PU of paid mobile apps. The quantity of reviews on the app store does not affect perception of the app. The path model supports the mediating role of PU and PEU on information processing and attitude toward the app and purchase intention.

To Islamic markets such as Iran, this study shows that paid mobile app marketers need to monitor closely the reviews in the app stores and make prompt response to negative reviews even if there are only a few reviews because users did not pay attention to the quantity of reviews. The overall ranking and argument quality strongly affect perception and purchase intention of paid apps.

To the best of the authors’ knowledge, this is the first study that combines ELM and TAM in determining the relative importance of central and peripheral processing of information in online product reviews, specifically for paid mobile apps in app stores in a large Islamic market.

Drawing upon the service-dominant logic (S-D logic) and elaboration likelihood model (ELM), this paper provides an integrative model to investigate how argument quality and source credibility of CSR communication affects customer value co-creation behavior, resulting in increased brand trust. Additionally, it unveils how brand trust and the perception of COVID-19 risk influence both brand love and subjective well-being.

The data of this study were collected through survey questionnaire from 304 coffee shop customers using convenience sampling and tested using the partial least squares structural equation modeling (PLS-SEM) technique to validate its model.

The research findings confirm the positive association between source credibility and customer value co-creation (i.e. customer participation and citizenship behavior). By contrast, argument quality is revealed to have a significantly positive effect on customer citizenship behavior (CCB) but a non-significant effect on customer participation behavior (CPB). Additionally, the study identifies that customer value co-creation behavior significantly promotes brand trust. Finally, findings indicate that brand trust and the perception of COVID-19 risk significantly influence brand love and subjective well-being.

This study contributes to the literature on CSR communication and S-D logic and provides new insights for marketers and advertisers to manage brands in the post-pandemic scenario through CSR communications. Furthermore, this study theoretically extends the ELM model to the CSR communication research. Finally, this study expands the relevant literature by clarifying the relationships between the perception of COVID-19 risk, brand love and subjective well-being.

This study adopts the elaboration likelihood model and configuration perspectives to explore the internal mechanisms underlying the influence of live streaming on consumer trust building and purchase intention.

This study invited 757 experienced live streaming e-commerce users from Chinese platforms such as TikTok and RED, who participated in survey by filling questionnaires collected online. The research employed a mixed-method approach using SEM and fsQCA. SEM was utilized to analyze quantitative data to determine the direct and mediated relationships within product trust, while fsQCA served as a complement to identify the combinations of conditions that enhance product trust.

The findings reveal three important insights. Firstly, in the context of live streaming e-commerce, both product characteristics and streamer characteristics significantly influence consumers' trust in products. The para-social interaction plays a partial mediating role in the relationship between streamer characteristics and product trust. Secondly, four distinct paths are identified that contribute to enhancing product trust in live streaming e-commerce. Thirdly, PSI emerging as a core condition across all four paths, underscores the importance for merchants to foster positive social interactions with consumers beyond the live streaming environment.

This study enhances understanding of the dynamic live streaming e-commerce industry, offering insights into consumer behavior and practical guidance for merchants seeking to build engaged, trustworthy customer relationships.

This study aims to examine involvement and perceived usefulness (PU) as the drivers of loyalty for online booking websites, revealing findings of theoretical and practical relevance. The proposed conceptual model is drawn on elaboration likelihood model (ELM) along with the consideration of expectation confirmation model for loyalty development.

A two-stage structural equation modeling was applied to test the reliability and validity of the constructs and the strength of the hypothesized relationships.

Attitudinal loyalty (AL) is found to have a significant role, resulting in behavioral loyalty (BL) toward online booking. The results of this study supported the ELM framework, where involvement and PU resulted in BL through AL. PU and AL also served as mediating mechanisms underlying the impact of consumer involvement on BL.

This study applies the ELM to online ticketing mechanisms and nuances amid AL and BL with their drivers.

Extending the elaboration likelihood model (ELM), this study investigates the impact of social media influencers (SMI) on consumer well-being (CW) as well as the influence of CW on purchase intention.

A between-subjects experiment (macro- vs mega-influencer) was conducted to assess the proposed hypotheses. A total of 190 consumers participated in the experiment, and SmartPLS 3.3 was used for multigroup analyses.

Overall, argument quality (AQ), source's credibility (SC) and influencer's kindness positively predict CW, and CW predicts purchase intention. It was also found that SC is more important when information comes from a mega-influencer, whilst kindness is essential for a macro-influencer.

The results of this study imply that CW should be an essential component of influencer marketing strategy. Marketing managers should hire credible and kind influencers who can produce quality arguments. Additionally, the selection of SMI (macro- vs mega-influencer) should be aligned with the marketing objective and type of persuasion required.

This is one of the early attempts to extend ELM by introducing influencer kindness as a peripheral cue. Moreover, the study offers novelty by examining the effects of influencer characteristics (AQ, SC and kindness) on CW and comparing these effects across macro- and mega-influencers.

藉著擴展詳儘可能性模型, 本研究擬探討網絡紅人對消費者福祉的影響, 以及消費者福祉對購買意圖的影響。

研究人員進行被試間實驗 (中網紅對大型網紅) , 以對提出的假設進行評價。190名消費者參與實驗, 研究人員使用SmartPLS 3.3 進行多群組分析。

總的來說, 論點品質、來源可信度和網紅的仁慈體貼, 均能積極預測消費者福祉, 而消費者福祉亦可預測購買意圖。研究人員亦發現, 若資訊是來自大型網紅的話, 來源可信度則更形重要, 而對中網紅來說, 仁慈體貼則是不可或缺的。

研究結果暗示, 消費者福祉應是網紅市場營銷戰略的基本要素。市場經理應僱用可靠、仁慈體貼、並能提出優質論點的網紅。而且, 網絡紅人 (中網紅對大型網紅) 的挑選, 必須與營銷目標和說服的種類互相協調。

本研究為早期的嘗試, 利用引進網絡紅人的仁慈體貼作為周邊線索, 來擴展詳儘可能性模型。另外, 本研究探討網絡紅人的特徵 (論點品質、來源可信度和仁慈體貼) 會如何影響消費者福祉; 研究人員亦跨中網紅和大型網紅, 對這些影響進行比較, 就此而言, 本研究提供了創新的研究意念。