Search Results (26)

This study explores the link between brand image and Net Promoter Score (NPS) in Iceland’s banking sector using data from three survey waves (2021, 2023, and 2025). While NPS is widely used to track customer loyalty, its relationship with brand image, especially in financial services, remains unclear. Drawing on repeated cross-sectional data (n = 1504), we examine how trust, corporate social responsibility, customer satisfaction, and perceived corruption relate to NPS across three major banks. Results show a consistently strong positive correlation (r > 0.5), with Arion Bank customers showing the highest association (r = 0.68). This suggests that customers with a positive image of the bank are far more likely to recommend it. The findings offer both theoretical and practical value: they reinforce the role of brand image in driving customer advocacy and support a more contextualized use of NPS in brand strategy and customer experience management. Full article

Cosmetics companies are increasingly integrating augmented reality and artificial intelligence technologies into products and services referred to as beauty tech; consumer perceptions of these solutions, however, remain understudied. Data generated via an online survey are implemented in a stimulus–organism–response framework, deduced from the beauty tech literature. Thereupon, the study identifies how interactivity, informativeness, personalization, and service quality of digital and physical beauty tech solutions for home use affect utilitarian and hedonistic values and the perceived risk factors among consumers. Via customer satisfaction, the effect of the value perception on the purchase intention and loyalty is considered. Results hint at strong effects of characteristics of the services and applications on the utilitarian and the hedonistic dimension of customer experience, which in turn strongly influence customer satisfaction. Perceived risk factors play only a marginal role. Only regarding the tested physical product does higher service quality add to the customer experience. Customer satisfaction in turn results in positive brand perception across different stages of the customer journey and leads to a higher purchase intention, positive brand advocacy, and a higher re-purchase intention. Consequently, well-designed solutions can generate higher customer satisfaction and loyalty on multiple stages along the customer journey. Full article

The present study explores the emerging role of “public affairs live streamers” on the short video platform Kuaishou, examining how these individuals have evolved into new forms of rural elites, expanding opportunities for civic participation and rural governance in China. Through content analysis and case studies, the research identifies six key themes central to the streamers’ discourse: land and property issues, financial aid and subsidies, policy and governance, advocacy for the public, educational outreach, and customs. These themes underscore their role as rural knowledge elites who bridge the gap between the government and rural residents through digital platforms. The study further examines the mechanisms behind the emergence of “public affairs live streamers”. Empowered by the platform, these streamers effectively convert their cultural capital into online social capital, which may then be partially transformed into offline social influence and economic returns. However, their empowerment is constrained by the platform’s algorithm distribution mechanisms and opaque content regulation, making the conversion of capital unstable, traffic-dependent, and challenging to sustain. Linking to the broader socio-political landscape, the study delves into the empowering role of “public affairs live streamers” in society. These online rural elites blend knowledge with digital skills to facilitate public engagement and inspire civic awareness in rural areas through their activities. Nonetheless, their contribution to rural governance and civilization is often limited to informal mediation and emotional expression, with limited capacity to foster rational discourse or deeper improvements in rural governance. Overall, this study contextualizes the rise of rural elites within China’s rapid technological and rural development, offering a fresh perspective on how digital media can supplement governance strategies and enhance grassroots’ civic participation. Based on this analysis, the study proposes recommendations for improving platform governance and integrating public affairs streamers into broader participatory frameworks, thereby stabilizing their empowering effects and promoting sustainable rural governance. Full article

This study explores how the green marketing mix affects customer green brand trust, customer green buying behavior, and electronic word-of-mouth (eWOM). A total of 990 fast-food customers participated in this study. Structural equation modelling (SEM) and mediation analysis were applied to validate the research hypotheses. As customer demand for environmentally sustainable products grows, green marketing mix has a positive and significant effect on customer green brand trust. Furthermore, customer green brand trust also significantly influences customer green buying behavior and eWOM as a predictor and mediator. It means that customer green brand trust is a fundamental effect of eWOM, with trust fostering positive online reviews, recommendations, and advocacy from customers. Businesses can also make the most of eWOM by developing feedback-friendly channels, such as product review pages and social media campaigns, and rewarding consumers who post about their satisfying online experiences. The companies should not only concentrate on increasing sales through environmentally sustainable product purchasing practices, but also on giving clients a feeling of community and integrating them into a larger sustainability movement. It will offer useful advice for marketers looking to improve their green marketing tactics and promote sustainable consumption by successfully gaining the trust of their target audience and using eWOM as a tactical instrument for brand advocacy. Full article

This study examines the relationship between personal values embedded in brand-owned social media (OSM) messages and customer brand advocacy (CBA) using text mining data of tweets from Fortune 500 companies. We employ an economics approach to examine how personal values influence CBA across service and manufacturing brands. Our findings reveal that self-enhancement and conservation values significantly boost CBA, while self-transcendence and openness to change are less impactful. Furthermore, this study highlights that conservation values are more effective for manufacturing brands, whereas self-enhancement, self-transcendence, and openness to change drive higher CBA in service brands. This study contributes to the literature on social media marketing by providing actionable insights for brand managers, demonstrating that aligning OSM content with personal values can enhance CBA. This study offers a nuanced understanding of how personal values and industry characteristics intersect to influence consumer behavior, helping brands craft more effective and resonant social media strategies. Full article

Employer branding research has predominantly concentrated on cultivating a favorable image for prospective job applicants, with limited exploration of its effects on current employees. This study investigates how employer branding shapes the attitudes of existing employees—specifically job satisfaction, organizational identification, and organization-related sacrifice—and examines how these attitudes influence employees’ word-of-mouth behavior toward both potential applicants and customers. Drawing on survey data from employees in Vietnam’s travel and hospitality sectors, the findings reveal that development, diversity, and reputation values significantly enhance employee attitudes, while economic value does not exert a notable influence. Additionally, job satisfaction, organizational identification, and organization-related sacrifice all positively affect word-of-mouth intentions toward potential applicants. However, organization-related sacrifice emerges as the sole factor significantly impacting word-of-mouth intentions toward customers. The study offers substantial theoretical contributions and practical implications, emphasizing the broader influence of employer branding on current employees’ advocacy behavior. Full article

In China, the integration of livestreaming into restaurant marketing has transitioned from mere entertainment to a vital business tool. This study examines the influence of social sharing value (SSV) on customer attitudes and behavioral intentions within the context of restaurant livestreams, applying the stimulus-organism-behavior-consequences (SOBC) model. Analyzing data from 1139 livestream viewers using partial least squares-path modeling (PLS-PM), the results reveal that SSV significantly enhances viewers’ trust, satisfaction, word of mouth (WOM), and behavioral intentions. Trust was shown to elevate satisfaction, which, in turn, positively impacts WOM and purchase intentions. Among the SSV’s components, brand intimacy emerged as highly influential. Notably, behavioral intention was found to significantly influence WOM activities, underscoring the critical role of proactive customer behaviors in promoting the brand. This study extends social exchange theory by quantifying relationship quality and adapting it to digital consumer interactions in the restaurant industry. The findings highlight the importance of cultivating SSV to bolster customer trust and satisfaction, thereby enhancing loyalty and advocacy. Effective engagement through livestreaming can amplify brand intimacy, establishing it as an indispensable strategy for maintaining competitiveness in the restaurant sector. Full article

Brand reputation directly influences customer trust and decision-making. A good reputation can lead to greater customer loyalty, commitment, and advocacy. This study aims to understand the effects of brand reputation on customer trust and loyalty and to determine how brands can protect their reputation. This study, which was conducted on the iPhone 11 sample by obtaining statistical data from customer reviews, can be adapted and used by researchers and companies that want to measure brand reputation. In this study, customer reviews for the iPhone 11 phone on the Trendyol e-commerce site, the largest e-commerce platform in Turkey, are analyzed using sentiment analysis and machine learning methods. While 85 percent of customers are satisfied with the iPhone 11, 13 percent are dissatisfied with it. The neutral comment rate of 2 percent indicates that some customers do not express a clear positive or negative opinion about the product. In the comments of customers who bought the iPhone 11, there are those who express satisfaction with the quality, technical features, performance, and price/performance ratio of the product, as well as those who express significant complaints about delivery, quality, price, and customer service. Neutral comments generally focus on the product itself, price, quality, shipping, and packaging, and make informative evaluations. A sustainable reputation is based on the extent to which an organization embraces ethical principles, social responsibility, and sustainable practices throughout its operations and business relationships. Brands can improve, protect, and increase their brand reputation by considering and analyzing the thoughts and feelings of their customers. For this, they should develop policies and strategies to reinforce their strong features and improve their faulty and deficient features. Full article

The intersection of religious beliefs and sex work has long been a subject of debate, with varying perspectives on the moral, social, and legal implications. This qualitative systematic review aimed to review the nuanced relationship between religious beliefs and sex work by synthesizing the existing literature and providing insights into the diverse perspectives and experiences. The rationale for this research is to understand how religious beliefs influence societal attitudes, policies, and the experiences of sex workers in order to inform more effective and culturally sensitive interventions and support mechanisms. This review focused on articles pertaining to female-identified sex workers, as the gendered discussion happens heavily in religious interpretations and in current anti-trafficking legislation, which now genders men as customers and not as sex workers. Five stages of systematic review were followed in this review. The following peer-reviewed electronic databases from 2000 to 2023 were utilized: Google Scholar, Scopus database, Science Direct, and PubMed. The search strategy focused on identifying studies that investigated the impact of religious beliefs on various aspects of sex work, including attitudes towards sex work within religious communities and the influence of religious teachings on the behavior and practices of sex workers. Inclusion criteria were defined based on population, exposure, study design, and outcomes, while exclusion criteria were established to ensure the relevance and rigor of the included studies. Only 25 relevant studies resulted from this research. Four themes emerged from this study: (1) religious attitudes towards sex work; (2) experiences of sex workers, including stigmatization and marginalization within religious contexts; (3) social control; and (4) empowerment and advocacy. The relationship between religious beliefs and sex work is complex and multifaceted, influenced by cultural, social, and historical factors. Recognizing and understanding these perspectives is essential for developing more inclusive and effective interventions and policies that address the needs and rights of sex workers within the context of their religious beliefs and communities. Full article

Cold chain logistics, with its high carbon emissions and energy consumption, contradicts the current advocacy for a “low-carbon economy”. Additionally, in the real delivery process, customers often generate dynamic demand, which has the characteristic of being sudden. Therefore, to help cold chain distribution companies achieve energy-saving and emission-reduction goals while also being able to respond quickly to customer needs, this article starts from a low-carbon perspective and constructs a two-stage vehicle distribution route optimization model that minimizes transportation costs and refrigeration costs, alongside carbon emissions costs. This research serves to minimize the above-mentioned costs while also ensuring a quick response to customer demands and achieving the goals of energy conservation and emission reduction. During the static stage, in order to determine the vehicle distribution scheme, an enhanced genetic algorithm is adopted. During the dynamic optimization stage, a strategy of updating key time points is employed to address the dynamic demand from customers. By comparing the dynamic optimization strategy with the strategy of dispatching additional vehicles, it is demonstrated that the presented model is capable of achieving an overall cost reduction of approximately 17.13%. Notably, carbon emission costs can be reduced by around 17.11%. This demonstrates that the dynamic optimization strategy effectively reduces the usage of distribution vehicles and lowers distribution costs. Full article

Allergen immunotherapy (AIT) with aeroallergens is the only disease-modifying treatment for patients with different allergic conditions. Despite the effectiveness of AIT having been proven in both randomized controlled trials and real-world studies, it remains underused in less than 10% of subjects with allergic rhinitis (AR) and/or asthma (A). We aimed to determine the current eligibility for house dust mite (HDM) AIT by means of a precision allergy molecular diagnosis (PAMD@) model in a selected cohort of youngsters with different allergic phenotypes according to the available evidence. A complex response to both HDM and storage mite allergens was depicted regardless of the subjects’ basal atopic condition. No solely specific IgE-binding responses to Der p 1, Der p 2, and/or Der p 23 were found in the studied cohort. Despite the patients with A and atopic dermatitis showing significantly higher serum titers to six mite allergens than subjects with AR, no specific molecular profile was regarded as disease specific. Given the increasing complexity of specific IgE responses to the local prevailing aeroallergens, the identification and presence of such molecules are needed in commercially available AIT in the era of precision medicine. Full article

Currently, a large amount of greenhouse gas emissions has caused a series of problems such as serious environmental degradation, and China is facing enormous pressure to reduce emissions. In terms of meeting the needs of people’s lives, cold chain logistics has undergone faster development, and its carbon emissions are relatively high. In response to the government’s advocacy for green and low-carbon concepts, some technical measures taken will increase the cost of carbon emissions. Identifying measures to reduce carbon emissions using management methods is an ongoing problem that this paper intends to solve. To address the shortcomings of the traditional cost method that cannot accurately account for the cost of each calculation object and ignores the carbon emission cost, this paper constructs an activity-based cost model for cold chain logistics enterprises to more comprehensively account for the operation cost and carbon emission cost. Then, a typical enterprise YS cold chain logistics company is used as a case study for an empirical calculation and analysis. The following conclusions are drawn: (1) the results identify the main activity centers that affect the operating costs and carbon emission costs of different customers; (2) a comparison among the total cost of each project helps to identify high-quality customers; (3) clarifying the carbon emission cost of wasting resources is beneficial for further optimizing the match between production capacity and business volume. This paper provides a path reference for enterprises to efficiently implement logistics cost management and carbon emission control, which can help enterprises cope with cost reduction and efficiency enhancement in a low-carbon environment and promote the long-term development of the logistics industry and environmental protection. Full article

The rise of online social networks has revolutionized the way businesses and consumers interact, creating new opportunities for customer word-of-mouth (WoM) and brand advocacy. Understanding and managing customer advocacy in the online realm has become crucial for businesses aiming to cultivate a positive brand image and engage with their target audience effectively. In this study, we propose a framework that leverages the pre-trained XLNet- (bi-directional long-short term memory) BiLSTM- conditional random field (CRF) architecture to construct a Knowledge Graph (KG) for social customer advocacy in online customer engagement (CE). The XLNet-BiLSTM-CRF model combines the strengths of XLNet, a powerful language representation model, with BiLSTM-CRF, a sequence labeling model commonly used in natural language processing tasks. This architecture effectively captures contextual information and sequential dependencies in CE data. The XLNet-BiLSTM-CRF model is evaluated against several baseline architectures, including variations of BERT integrated with other models, to compare their performance in identifying brand advocates and capturing CE dynamics. Additionally, an ablation study is conducted to analyze the contributions of different components in the model. The evaluation metrics, including accuracy, precision, recall, and F1 score, demonstrate that the XLNet-BiLSTM-CRF model outperforms the baseline architectures, indicating its superior ability to accurately identify brand advocates and label customer advocacy entities. The findings highlight the significance of leveraging pre-trained contextual embeddings, sequential modeling, and sequence labeling techniques in constructing effective models for constructing a KG for customer advocacy in online engagement. The proposed framework contributes to the understanding and management of customer advocacy by facilitating meaningful customer-brand interactions and fostering brand loyalty. Full article

The Chronic Pain Profile (CPP) was developed as a tool for patients to document types and levels of use for all pain management strategies used. This pilot mixed-methods (quantitative and qualitative methods) study aimed to assess the perceived clinical usefulness of the CPP and identify potential areas of difficulty using the CPP among a sample of pharmacists. Data were obtained from an online survey of pharmacists licensed to practice in Arizona. Quantitative analysis included assessing the clinical usefulness of the CPP using 10 numerical items (scores ≥50% = useful), 5 ordinal items (scores ≥ 4 out of 5 = useful), and 11 open-response items. Qualitative analysis was conducted by two independent researchers who coded the comments and identified key themes through consensus. Data were collected for 33 individuals. Mean usefulness scores ranged from 66.6 ± 22.4 to 80.9 ± 23.5, and three of the five ordinal items had a median score ≥ 4. Three key themes (and subthemes) were identified: favorable features of the CPP, which included promoting patient advocacy and saving time when accessing pain information; using the CPP, which included evaluating of the effectiveness and appropriateness of the pain management approach and identifying gaps in patient knowledge; and limitations of the CPP, which included absence of customization, interpretation issues, complexity and wording issues, and concerns of internal consistency and reliability. This pilot study provides initial evidence of the CPP’s clinical usefulness that could ultimately be used to help manage pain and improve health outcomes. Further analyses are needed to assess the CPP’s validity and explore its use in wider populations of patients with pain. Full article

Introduction: Neurofibromatosis Type 1 (NF1) is an autosomal dominant genetic condition in which chronic pain is a predominant issue. Given the rarity of the disease, there are limited psychosocial treatments for individuals with NF1 suffering with chronic pain. Using mobile applications can facilitate psychosocial treatments; however, there are consistent issues with engagement. Utilizing a mixed methodology, the current study evaluated the customized iCanCope mobile application for NF1 on increasing engagement through the usage of contingency management. Methods: A mixed methods study from a subset of data coming from a randomized clinical trial that occurred from January 2021 to August 2022 was undertaken. Two groups (iCC and iCC + CM) were exposed to the customized iCanCope mobile application in which engagement data were captured in real-time with daily check-ins for interference, sleep, mood, physical activity, energy levels, goal setting, and accessing article content (coping strategies). Additionally, semi-structured interviews were conducted to gain insight into the participants’ experience at the end of the trial. Results: Adults (N = 72) were recruited via NF patient advocacy groups. Significant differences were noted between the groups in total articles read (p = 0.002), goals achieved (p = 0.017), and goals created (p = 008). Additionally, there were significant differences observed between user-generated goals and those that were app recommended (p < 0.001). Both groups qualitatively reported positive feedback on the customized mobile application, indicating that continued usage and engagement of the mobile application were acceptable. Conclusions: Employing customized mobile applications for adults with NF1 along with contingency management can leverage self-managed pain treatments while providing auxiliary resources to this population. Full article