Search Results (230)

The aviation industry faces increasing pressure to reduce its environmental footprint, prompting airlines to adopt green marketing practices that align with sustainability goals. Grounded in the Elaboration Likelihood Model (ELM), this study investigates the influence of green marketing on consumers’ repurchase intentions, with electronic word-of-mouth (e-WOM) as a mediating factor. An online survey was conducted among 390 airline passengers in Turkey, and the data were analyzed using structural equation modeling. The results indicate that green marketing significantly enhances both e-WOM and repurchase intention. Additionally, information quality and credibility exert significant effects on e-WOM and make a modest direct contribution to repurchase intention. While e-WOM is positively associated with repurchase intention, its mediating role in the relationship between green marketing and repurchase intention is not statistically supported. These findings suggest that e-WOM functions as a reinforcing rather than a transmitting mechanism linking green marketing to repurchase intention. The model explains 68.9% of the variance in repurchase intention and 18.9% in e-WOM. The study contributes by integrating green marketing, e-WOM, and information characteristics within an ELM-based framework for the airline context, offering actionable insights for sustainability-oriented marketing strategies. Full article

This study assesses the effectiveness of social media advertising campaigns in the supermarket sector by combining managerial insights with multi-criteria decision analysis (MCDA) to support informed, sustainable decision-making. Considering the ever-increasing complexity of digital communication and the growing need for sustainable marketing resources, supermarkets require effective methods to evaluate social media platforms beyond isolated metrics. The study employs the Visual PROMETHEE program, an MCDA that incorporates qualitative insights from 27 supermarket managers in Northern Greece, along with the PROMETHEE II multi-criteria decision analysis method. At the outset, managers evaluated the importance of thirty-four social media performance factors with a five-point scale. Seven core evaluation criteria are identified by aggregating importance ratings and qualitative analysis: return on investment, revenue contribution, lead generation, engagement, cost efficiency, feedback, electronic word of mouth (eWoM), and reach. The use of these criteria later led to the evaluation of seven major social media platforms. A transparent ranking of platforms is presented, based on the results. The ranking highlights significant performance differences across financial, engagement, and reputational dimensions. The findings demonstrate the importance of integrating managerial guidance with multi-criteria analysis to inform long-lasting and evidence-based marketing decisions in retail. Full article

Developing green water disinfection technology has been attracting much attention all over the world. In this work, a WO₃/BiOBr@Si composite was obtained through the solvothermal process, which exhibited denser and fuller intersecting petal-like spheres (1–3 μm in diameter) and retained its 3D sheet-like pore structure. The optical and electrochemical analysis demonstrated that the doped Si showed insignificant improvement in UV-Vis light absorption but greatly promoted the electron-hole separation efficiency and charge transfer capability on the surface of the catalyst at a 4.6 wt% Si doping dosage, resulting in an excellent performance in the inactivation of Escherichia coli (E. coli) under the irradiation of visible light. Under the optimal conditions (0.5 g/L of WO₃/BiOBr@Si dosage, 10⁷ CFU mL⁻¹ of E. coli concertation, and 30 min of treating time), the largest log value decline (6.6) occurred with WO₃/BiOBr@1.0Si, which was 3.3 and 1.8 times larger than those of BiOBr (2.0) and WO₃/BiOBr (3.7). According to the TEM, SEM, EDS, XRD, FTIR, and XPS analyses, in the photocatalytic system, the hole (h⁺) and •OH were the main species for inactivating E. coli cells. These oxidizing species could attack the components on the surface of cells (such as the hydroxyl, carbonyl, ester, and amide groups of polysaccharides (PS) and proteins (PT)), resulting in the inactivation and destruction of the cell membranes and leakage of intracellular substances. The findings will provide a significant guide for developing an efficient catalyst for the green water disinfection process. Full article

This study examines the effects of the e-servicescape on flow experience, positive affect, trust, website loyalty, and e-WOM in the context of online travel platforms, while investigating the moderating role of e-familiarity. Drawing on servicescape theory, the S-O-R framework, and the Technology Acceptance Model (TAM), a comprehensive research model is proposed. Data were collected from 256 consumers residing in Türkiye who had previously used online travel agencies, and the hypotheses were tested using partial least squares structural equation modeling (PLS-SEM). The findings reveal that the e-servicescape has significant positive effects on flow experience, positive affect, and trust. While flow experience was a significant predictor of positive affect, it did not have a significant direct effect on e-WOM. Furthermore, positive affect and trust, in turn, significantly predicted both website loyalty and e-WOM. Moreover, e-familiarity negatively moderated the relationship between e-servicescape and flow experience, suggesting that highly familiar users derive less immersive benefit from enhanced online environments. The study contributes to the digital tourism and consumer behavior literature by highlighting the role of user familiarity in shaping experiential outcomes. Full article

The electronic word of mouth (eWOM) has emerged as a communication tool that significantly influences consumers’ attitudes and purchasing behavior in the online market. Research indicates that the effect of eWOM sources, such as (strong ties, weak ties, and influencers) varies in terms of perceived value components (price, quality, emotional, and social value) and purchase intention, particularly with regard to gender. This study, which is based on the SOR framework; examines the role of eWOM as a stimulus affecting student responses and considers the mediating role of perceived value components and the moderate effect of gender. A sample of 901 students from Westbank universities was analyzed using Smart PLS software. The findings reveal that strong ties and influencer eWOM are positively associated with perceived value components and purchase intention, while weak tie eWOM does not directly correlate with purchase intention. Mediation analyses show that perceived quality and social value act as mediators of purchase intent towards eWOM sources, while emotional value specifically mediates strong relationships and influencers. Notably, price value exerts only a mediating effect on purchase intention when communicated through influencers, highlighting the unique role of the influencer in shaping price perceptions and its broad impact on all components of perceived value. Gender differences were observed in students’ responses to eWOM content; particularly in terms of price, quality, and emotional appeal but not in terms of social factors. The outcomes of this study underscore the significance of considering both the source of the message and the characteristics of the audience when formulating targeted marketing strategies. Full article

Recommendation systems are popular information systems that help consumers manage information overload. Whilst personality has been recognised as an important factor influencing consumers’ choice, it has not yet been fully exploited in recommendation systems. This study proposes a restaurant recommendation approach that integrates customer personality traits, opinions and preferences, extracted either directly from online review platforms or derived from electronic word of mouth (eWOM) text using information extraction techniques. The proposed method leverages the concept of venue personality grounded in personality–brand congruence theory, which posits that customers are more satisfied with brands whose personalities align with their own. A novel model is introduced that combines fine-tuned BERT embeddings with linguistic features to infer users’ personality traits from the text of their reviews. Customers’ preferences are identified using a custom named-entity recogniser, while their opinions are extracted through structural topic modelling. The overall framework integrates neural collaborative filtering (NCF) features with both directly observed and derived information from eWOM to train an extreme gradient boosting (XGBoost) regression model. The proposed approach is compared to baseline collaborative filtering methods and state-of-the-art neural network techniques commonly used in industry. Results across multiple performance metrics demonstrate that incorporating personality, preferences and opinions significantly improves recommendation performance. Full article

Grounded in Social Impact Theory, this study examines the effects of virtual experiences generated by Mere Virtual Presence (MVP), Mere Virtual Presence with Product Experience (MVPE), and pure brand websites on consumers’ brand attitudes and purchase intentions. Additionally, it explores the moderating roles of Consumers’ Need for Uniqueness (CNFU) and product type (search vs. experience products). This study adopts an experimental design with three brand website types (MVP brand communities, MVPE brand communities, and pure brand websites) and two product types to examine the hypothesis. Specifically, a 3 (brand website type) × 2 (product type) experimental design was implemented to examine the influence of brand website types across different scenarios of online marketing. The findings reveal significant insights into consumer brand marketing. Specifically, consumers with low CNFU exhibited higher brand attitudes and purchase intentions compared to those with high CNFU when engaging with search products in MVPE brand communities Furthermore, fan avatars within a virtual brand community can still influence consumer perceptions even without direct interaction. These insights contribute to the growing body of research on personalized marketing and offer practical strategies for leveraging eWOM to enhance consumer engagement and influence decision-making in the digital landscape. Full article

Rb₂KWO₃F₃ elpasolite was synthesized via the solid-state reaction route. The phase purity of the obtained sample was verified by the XRD analysis with Rietveld refinement in space group Fm-3m, yielding the unit cell parameter a = 8.92413 (17) Å. The electronic structure and chemical states of the constituent elements were investigated using X-ray photoelectron spectroscopy. The binding energy of the W 4f_7/2 core level (34.95 eV) was found to be characteristic of the W⁶⁺ oxidation state, while the values for Rb 3d, K 2p, O 1s and F 1s levels were consistent with those reported for related oxide and oxyfluoride compounds. First-principles density functional theory calculations were performed to model the electronic structure. The fac-configuration of the WO₃F₃ octahedra was identified as the most energetically favorable. The calculations revealed a direct band gap of 4.38 eV, with the valence band maximum composed primarily of O 2p orbitals and the conduction band minimum formed by W 5d orbitals. This combined experimental/theoretical study shows that the electronic structure and wide bandgap of Rb₂KWO₃F₃ are governed by the WO₃F₃ units and are largely insensitive to the Rb/K substitution. The wide bandgap identifies this class of oxyfluorides as a promising platform for developing new UV-transparent materials. Full article

Servicescape, the physical and social environment of a service setting, is a critical strategic tool for creating competitive advantage. While its influence on customer loyalty and electronic word-of-mouth (e-WOM) is established, the underlying psychological mechanisms remain inadequately specified. This study addresses this gap by proposing and testing a dual-mediation model grounded in an integrated Stimulus–Organism–Response (S-O-R) framework, with cognitive evaluations informed by Expectancy-Disconfirmation Theory (EDT), distinguishing between affective (service experience) and cognitive (customer satisfaction) pathways. Data were collected from 420 patrons of nature-themed cafés in Nakhon Ratchasima, Thailand, and analyzed using structural equation modeling (SEM-PLS). The results confirm that servicescape significantly enhances both service experience (β = 0.805, p < 0.001) and customer satisfaction (β = 0.816, p < 0.001). However, its effects on customer loyalty and e-WOM are fully mediated through these parallel pathways. Customer satisfaction demonstrated a stronger influence on loyalty than service experience, while both were significant drivers of e-WOM. The findings suggest theoretical contributions by delineating the distinct affective and cognitive processes through which the service environment translates into digital advocacy and loyalty. For managers, this study suggests a strategic framework for allocating resources to foster both shareable experiences and satisfaction-driven loyalty. Full article

This study aims to identify the variables that influence revisit intention and the theories most frequently employed in related research. This research adopts a systematic literature review (SLR) following the PRISMA 2020 guidelines, encompassing the identification, screening, and synthesis of articles from the Scopus, ScienceDirect, and Emerald databases. The results indicate that customer satisfaction, destination image, experience, and service quality emerge as the most dominant variables. At the same time, constructs such as electronic word-of-mouth (e-WOM), place identity, and accessibility receive comparatively little scholarly attention. Moreover, the Theory of Planned Behavior constitutes the most commonly applied theoretical framework, followed by the stimulus-organism-response (SOR) model, the Theory of Reasoned Action (TRA), and Cognitive Appraisal Theory. These findings reveal research gaps that provide a foundation for future conceptual model development. The study offers both theoretical and practical contributions toward strengthening strategies for fostering tourist loyalty. Full article

Electronic word of mouth (eWOM) is a powerful form of online communication that strongly influences consumer purchasing behaviour. However, what remains less clear is the combined influence of situational factors versus personality traits when assessed simultaneously. The aim of this paper is to address this gap by developing an integrative conceptual model to assess the comparative relevance of situational factors and personality traits in driving eWOM generation in the Romanian accommodation sector. To implement the research scope, an empirical, quantitative, questionnaire-based investigation was pursued, data being collected from 291 tourists who had previous experience with online accommodation platforms such as booking.com, Airbnb, Trivago, etc. Based on the proposed conceptual model, data were analysed by means of structural equation modelling via SmartPLS 4.0. The research extends previous knowledge based on the Theory of Reasoned Action (TRA) and the Theory of Cognitive Dissonance (TCD), showing the combined multiple effects of situational factors and personality traits on consumers’ behaviour in generating eWOM in the accommodation sector. The results show that acquisition regret strongly drives eWOM generation intention, this regret being significantly increased by the unpleasantness, unacceptability, and importance of the consumer’s situation. Consumer expressivity predicts eWOM generation and is positively influenced by perceived social support, a relationship newly validated in the literature. Full article

Gadolinium (Gd)-based nanomaterials have attracted a considerable amount of attention in cancer treatment research due to their applicability in radiotherapy. However, the clinical translation of Gd-based nanomaterials is limited by their high density and poor dispersibility in aqueous media, thereby necessitating surface functionalization with biocompatible polymers. In this study, gadolinium tungstate (Gd₂(WO₄)₃) nanoflakes (GW Nfs) were functionalized with poly(glycerol) (PG) to enhance their dispersibility and stability in aqueous media. Due to their high-Z elemental composition, the GW Nfs generated reactive oxygen species (ROS) under X-ray irradiation, with improved dispersibility induced by PG functionalization further enhancing ROS productivity compared to GW Nfs. Furthermore, PG-GW loaded with the photosensitizer chlorin e6 (Ce6) demonstrated strong photocytotoxicity at Ce6 concentrations as low as 0.2 μg mL⁻¹ under light irradiation. Taken together, these results demonstrate that PG-GW/Ce6 is a promising nanomaterial for photodynamic therapy while also offering prospects for bimodal photon cancer therapy with X-rays. Full article

The growth of electronic word-of-mouth (eWOM) on digital platforms has heightened the need to distinguish authentic user-generated content from covert promotional material. This study proposes an integrated framework combining Natural Language Processing (NLP), machine learning, and Latent Dirichlet Allocation (LDA) to classify sentiment and detect advertising features in online game reviews. Reviews from the Steam platform were analyzed using Support Vector Machine (SVM), Decision Tree, and Naïve Bayes classifiers, with class imbalance addressed through SMOTE and SMOTE–Tomek techniques. The SMOTE-augmented SVM achieved the highest performance, with 98.18% overall accuracy and 97.52% negative sentiment detection. LDA and Quality Function Deployment (QFD) further uncovered latent promotional themes, providing insights into how advertising elements manifest in positive reviews and how negative feedback reflects genuine user concerns. The framework assists platform managers in enhancing eWOM credibility and supports marketers in designing data-driven advertising strategies. By bridging sentiment analysis with covert marketing detection, this research contributes a novel methodological approach for assessing review trustworthiness, improving transparency, and fostering consumer trust in digital information environments. Full article

Monitoring nitrogen dioxide (NO₂) in various scenarios is crucial due to its significant environmental impact as a hazardous gas which is emitted by several industrial sectors. This study reports the optimized synthesis of WO₃ flower-like structures using the microwave-assisted hydrothermal method under various experimental conditions, resulting in the optimized sample designated MF-WO₃-K2. Structural, morphological, and chemical characterizations revealed that WO₃ microflowers (MF-WO₃-K2) exhibit a hexagonal crystalline phase, a bandgap of 2.4 eV, and a high specific surface area of 61 m²/g. The gas-sensing performance of WO₃ microflowers was investigated by electrical measurements of six similarly fabricated MF-WO₃-K2 sensors. The MF-WO₃-K2 sensors demonstrated a remarkable sensor signal of 225 for 5 ppm NO₂ at 150 °C and response/recovery times of 14.5/2.4 min, coupled with outstanding selectivity against potential interfering gases such as CO, H₂, C₂H₂, and C₂H₄. Additionally, the sensors achieved a low detection limit of 65 ppb for NO₂ at 150 °C. The exceptional sensing properties of WO₃ microflowers are attributed to the abundance of active sites on the surface, large specific surface area, and the presence of pores in the material that facilitate the diffusion of NO₂ molecules into the structure. Overall, the WO₃ microflowers demonstrate a promising ability to be used as a sensitive layer in high-performance chemiresistive gas sensors due to their high sensor performance and good reproducibility for NO₂ detection. Full article

Based on the Persuasion Knowledge Model (PKM), this research investigates how virtual electronic word-of-mouth (eWOM) senders’ message framing—numerical versus experiential—influences eWOM effectiveness across three experiments. We find that: (1) numerical descriptions from virtual eWOM senders significantly enhance eWOM effectiveness compared to experiential descriptions, while this effect does not emerge for human senders; (2) perceived diagnosticity mediates the relationship between message framing and eWOM effectiveness; and (3) product type moderates this effect pathway, with numerical descriptions showing stronger positive effects for search products than for experience products. This research enriches theoretical understanding of eWOM communication in interactive marketing and provides practical guidance for e-commerce companies to optimize their content marketing strategies. Full article