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The purpose of this paper is to determine the significant antecedents of peer-to-peer (P2P) m-payment acceptance and explore the moderating effects of gender on the influence of these predictors with regards to intention of using the system.

The research was conducted on a sample comprised of 701 Spanish smartphone users. A multi-group structural equation modeling analysis was used to test the moderating effect of gender with a particular focus on the relationships between the latent variables of the research model.

The study identified significant differences between the two observed groups – the results show that men are more likely to use mobile payments than women and are therefore less influenced by the potential risks involved. In addition, men are more easily influenced by their social environment, whereas women are more influenced by their personal innovativeness.

The study proposes a three-level model, based on an extended TAM model. It is a pioneering study, exploring the effects of gender on P2P m-payment acceptance. Due to its novel value and the potential involved, the results of the study may be of great importance for m-payment providers, particularly in marketing strategy planning and customer segmentation.

Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of learners’ behaviours.

Purpose: The purpose of the present study is to understand the role of AI in student performance assessment and explore the future role of AI in educational performance assessment.

Scope: The study tries to understand the adaptability of AI in the education sector for supporting the educator in automating assessment. It supports the educator to concentrate on core teaching-learning activities.

Objectives: To understand the AI adaption for educational assessment, the positives and negatives of confidential data collections, and challenges for implementation from the view of various stakeholders.

Methodology: The study is conceptual, and information has been collected from sources comprised of expert interactions, research publications, survey and Industry reports.

Findings: The use of AI in student performance assessment has helped in early predictions for the activities to be adopted by educators. Results of AI evaluations give the data that may be combined and understood to create visuals.

Research Implications: AI-based analytics helps in fast decision-making and adapting the teaching curriculum’s fast-changing industry needs. Students’ abilities, such as participation and resilience, and qualities, such as confidence and drive, may be appraised using AI assessment systems.

Theoretical Implication: Artificial intelligence-based evaluation gives instructors, students, and parents a continuous opinion on how students learn, the help they require, and their progress towards their learning objectives.

This study aims to determine how Internet of Things (IoT) risks and benefits affect both the intention to use and actual use of a smartwatch.

The stimulus–organism–behavior–consequence (SOBC) hypothesis is used to explain the mechanisms underpinning the discontinuity between intention and technology usage. A total of 394 questionnaires distributed to smartwatch users were analyzed, using convergent analysis, discriminant analysis and structural modeling.

The IoT’s technical features, such as continuous connectivity and real-time value, serve as effective stimuli for smartwatches, positively influencing individuals’ responses and behavioral consequences associated with smartwatch usage. While IoT risks such as data, performance and financial have no negative relationship with the usefulness of smartwatches, data and financial risks have a negative influence on their ease of use. Additionally, as ease of use and usefulness have a positive impact on intention to use, users’ behavior is positively influenced by their intentions to use a smartwatch.

The study applies technology acceptance theory and the SOBC paradigm to smartwatches to determine if users’ intentions to use them impact their behavior. Furthermore, the research analyzed the technical elements of smartwatches in terms of IoT advantages and risks.

El objetivo del presente estudio es determinar cómo los riesgos y beneficios del Internet de las Cosas afectan tanto a la intención de uso como al uso real de un smartwatch.

Se utiliza el modelo Estímulo-Organismo-Comportamiento-Consecuencia (SOBC) para explicar los mecanismos que sustentan la discontinuidad entre la intención y el uso de la tecnología. Se analizaron 394 cuestionarios distribuidos a usuarios de smartwatches, empleando análisis convergente, análisis discriminante y modelización estructural.

Las características técnicas del IoT, como la conectividad continua y el valor en tiempo real, sirven como estímulos efectivos para los smartwatches, influyendo positivamente en las respuestas de los individuos y en las consecuencias conductuales asociadas al uso del smartwatch. Mientras que los riesgos de la IO, como los datos, el rendimiento y los financieros, no tienen una relación negativa con la utilidad de los smartwatches, los riesgos de los datos y los financieros influyen negativamente en su facilidad de uso. Además, dado que la facilidad de uso y la utilidad tienen un impacto positivo en la intención de uso, el comportamiento de los usuarios está positivamente influenciado por sus intenciones de usar un smartwatch.

El estudio aplica la teoría de la aceptación de la tecnología y el paradigma SOBC a los smartwatches para determinar si las intenciones de uso de los usuarios influyen en su comportamiento. Además, la investigación analiza los elementos técnicos de los smartwatches en cuanto a las ventajas y los riesgos del IoT.

本研究的目的是确定物联网的风险和利益如何影响智能手表的使用意向和实际使用。

刺激-组织-行为-后果（SOBC）假说被用来解释意图和技术使用之间不连续的基础机制。对发放给智能手表用户的394份调查问卷进行了分析, 采用了收敛分析、判别分析和结构模型法。

物联网的技术特点, 如持续连接和实时价值, 作为智能手表的有效刺激, 对个人的反应和与智能手表使用相关的行为后果产生积极影响。虽然数据、性能和财务等物联网风险与智能手表的有用性没有消极关系, 但数据和财务风险对其易用性有消极影响。此外, 由于易用性和有用性对使用意图有积极影响, 用户的行为受到他们使用智能手表的意图的积极影响。

该研究将技术接受理论和SOBC范式应用于智能手表, 以确定用户的使用意图是否影响其行为。此外, 该研究还从物联网的优势和风险方面分析了智能手表的技术要素。

This study aims to discern emerging trends and provide a longitudinal perspective on merchandising research by identifying relationships between merchandising-related subdomains/themes.

This study sourced 657 merchandising-related articles published since 1960, from the Scopus database and 425 from Web of Science. After processing and normalizing the data, this study performed co-word and thematic network analyses. Taking a text mining approach, this study used topic modeling to identify a set of coherent topics characterized by the keywords of the articles.

This study identified the following merchandising-related themes: branding, retail, consumer, behavior, modeling, textile and clothing industry and visual merchandising. Although visual merchandising was the first type of merchandising to be used in-store, only recently has it become an emerging topic in the academic literature. There has been a further trend over the past decade to understand the adoption of simulation technology, such as computer-aided design, particularly in supply chain management in the clothing industry. These and other findings contribute to the discussion of the merchandising concept, approached from an evolutionary perspective.

The conclusions of this study hold implications at the intersection of merchandising, sectors, new technologies, research methodologies and merchandising-practitioner education. Research trends suggest that, in the future, virtual reality and augmented reality using neuroscientific methods will be applied to the e-merchandising context.

The different dimensions of merchandising can be used to leverage store managers’ decision-making process toward an integrated store-management strategy. In particular, by adopting loyalty merchandising tactics, the store can generate emotional attachment among consumers, who will perceive its value and services as unique, thanks to merchandising items designed specifically with that aim in mind. The stimulation of unplanned purchases, the strategic location of products and duration of each merchandising activity in the store, the digitalization of merchandising and the application of findings from neuroscience studies are some of the most relevant practical applications.

This study provides the first-ever longitudinal review of the state of the art in merchandising research, taking a holistic perspective of this field of knowledge spanning a 60-year period. The work makes a valuable contribution to the development of the marketing discipline.

This study examines the role of logotypes in advertising effectiveness on s-commerce platforms by analyzing the visual attention paid by the consumer to fashion branding – wordmarks or combination marks – and their subsequent recall.

The study examines the main areas of visual representation of the brand (VRB) on the Instagram network and the user’s corresponding areas of interest on a mobile-device screen. Attention and recall of the VRB are assessed in light of different classification variables (users’ gender, age and level of experience in s-commerce tools) to better understand how VRB may be leveraged by fashion retailers to encourage purchasing behavior. To achieve this objective, a mixed experiment design based on the eye-tracking methodology and a self-administered questionnaire is carried out.

The results indicate that visual attention, gender, age and s-commerce experience all contribute to determining users’ recall of the brand logo to which they are exposed on-screen. By considering the different s-commerce user profiles that exhibit different visualization behaviors, fashion retailers will be better placed to improve their online advertising campaigns and, ultimately, increase brand sales. The findings also point to promising future research directions on the effectiveness of branding strategies.

This highly innovative study provides in-depth insights into advertising effectiveness in terms of attention and recall, according to the main types of VRB for two specific s-commerce tools used by a high-street fashion brand, namely, its profile on Instagram Shop and its profile on Instagram Stories.

This paper aims to analyze advertising effectiveness in terms of self-reported memory (recall) by measuring customers’ visual attention, including consumer engagement with e-tourism 2.0 tools and the banner type used as moderating variables.

Data were collected through a within-subject, between-groups experimental design based on eye-tracking methodology, followed by a self-administered questionnaire. Participants were instructed to visit three e-tourism tools, namely, a hotel’s blog, a social network (i.e. Facebook) page and a virtual community (i.e. TripAdvisor) page.

This research uncovers the main determinants of consumers’ self-reported recall of banner ads. The study offers empirical insight regarding the positive impact of fixation counts and visit duration on consumer recall. The findings also reveal that the impact of these measurements on consumer recall is moderated by the level of animation of the advertisement, while the number of fixations is moderated by the level of consumer engagement. Overall, the results suggest the usefulness of eye-tracking methodology in assessing the advertising effectiveness of e-tourism tools.

The practical implications identified in this research, along with its limitations and future research opportunities, are of interest both for further theoretical development and practical applications. Scholars are therefore encouraged to further test the research propositions, including in longitudinal or mobile/smartphone-based research.

The authors offer a pioneering attempt in the application of eye-tracking methodology to online, e-tourism-based service innovations and examine the possible impact of visual marketing stimuli and their effects on user social network-related behavior.

Traditional payment systems based on cash and bank cards are being replaced by new innovative formats. This research analyzes the success factors in the adoption by customers of Bizum, a peer-to-peer (P2P) mobile payment system widely used in Spain. This study proposes a theoretical framework based on the Stimulus–Organism–Response (S-O-R) model and includes the analysis of the moderating effect of perceived risk and the mediating effect of perceived trust.

To achieve the proposed objectives, an online questionnaire was administered to 701 Spanish smartphone users, potential users of the proposed P2P payment systems.

The results show that perceived usefulness is the most important predictor of intention to use. Additionally, a medium predictive relevance performance of the proposed model is found.

This research contributes to a more holistic understanding of the adoption of P2P payment systems and provides new business opportunities that companies can exploit through the use of this technology.

以現金和銀行卡為基礎的傳統支付系統、正被嶄新而又富創意的模式取代。本研究擬分析驅使消費者使用Bizum的成功因素 (Bizum 是一個在西班牙得到廣泛使用的P2P移動支付系統) 。本研究以刺激-有機體-反應模型為基礎, 建議了一個概念框架;研究亦擬分析感知風險的調節作用, 以及感知信任的中介效應。

為達研究目標, 研究人員處理了701名西班牙智慧型手機使用者回答的網上問卷, 這些使用者是本研究提出的P2P支付系統的潛在用戶。

研究結果顯示、感知有用性是消費者會否使用P2P支付系統最重要的預測因素。研究結果亦顯示、本研究建議的概念框架的預測能力水平屬中等。

本研究使我們對驅使消費者使用P2P支付系統的因素更全面地了解;研究也使企業可透過使用這技術, 為自己創造新的商機。

Near-field communication (NFC) technology introduces new and better experiences for tourists while improving operating processes in the tourism industry through the use of smartphone applications. The purpose of this research is to explore and analyse the antecedents of the adoption of NFC mobile applications (app) regarding the search for information in a tourist destination.

Based on the review of the literature, three groups of antecedents are proposed. The groups are associated with the usability of mobile technology itself, the benefits derived from its use and the possible risks that the tourist assumes. To achieve these objectives, an online questionnaire was filled by 218 participants after they watched a video explaining the use of NFC tourism apps in a Spanish tourist destination.

Partial least squares revealed that perceived value, performance risk, usefulness and perceived enjoyment have a strong relationship with the intention to use of tourism apps.

The conclusions and implications for management provide alternatives for companies to promote this new business by means of the new technical developments.

论旅游nfc移动应用使用的动因

近场通讯（NFC）技术通过智能手机的使用, 为游客带来新奇更佳的体验, 同时, 又完善了旅游业运营流程。本论文旨在探索和分析探索旅游目的地信息中, NFC移动应用APP使用的动因。

根据文献综述结果, 本论文提出三组动因。这三组动因涉及移动技术本身、使用好处、以及旅游预想的可能危险。为了达到研究目的, 本论文采用在线问卷采样方式, 受访者首先看了一段解释NFC旅游APP在一个西班牙旅游目的地应用的视频, 共218名受访者参与了调查。

PLS-SEM结果表明感知价值、性能危险、有用性、和感知愉快与旅游APP使用有着紧密的联系。

本论文结果和管理启示为公司提出其他可能, 建议公司可以利用新科技发展来提高新商机。

The purpose of this paper, which is based on the UTAUT2 model, is to develop and evaluate a predictive model of customer satisfaction related to mobile commerce (m-commerce) and the willingness to recommend this service to others.

The study was conducted based on a sample of 402 respondents. Confirmative factor analysis was used to evaluate the validity of the model, while structural equation modeling (SEM) was used to test the hypotheses. Finally, artificial neural networks were used to rank the influence of the significant predictors obtained by SEM.

Trust was found to be the most significant driver of customer satisfaction, followed by performance expectancy and perceived value. In addition, affective commitment and satisfaction were identified as the strongest predictors of word of mouth (WOM).

The originality/value of the paper lies in the establishment of the connection between the independent variables of the UTAUT 2 model – trust, satisfaction, affective and continence commitment and WOM. Additionally, it is one of a small number of studies investigating customer commitments and their influence on WOM in m-commerce.

The purpose of this study is to analyze environmentally responsible tourist behavior in a socially responsible destination. Specifically, this study explores the relationship between destination social responsibility and environmentally responsible behavior (ERB) using the stimulus–organism–response model as a theoretical framework.

The research sample is composed of Spanish tourists over 18 years of age who have visited one of the selected urban tourist destinations: Malaga, Barcelona, Madrid, Palma de Mallorca and Bilbao; therefore, all participants confirmed having visited one or more of the above destinations and coming from a different place, thus confirming that in no case were they residents. Data collection used a non-probabilistic sampling method with quotas reflecting the demographic makeup of the Spanish population. Information was gathered in July 2023 through an online survey using a structured questionnaire. Before the main study, a pilot investigation ensured the reliability and clarity of the measurement scales.

It is concluded that the proposed behavior model is satisfactory and allows for explaining the ERB of tourists, whose main determinants are place attachment, perception of the destination’s social responsibility, environmental concern and perceived effectiveness.

The main contribution expected from this study is the proposal of a conceptual model, in the environment of socially responsible destinations, that allows for the completion of the proposals made in the specific literature on ERB in the context of urban tourism.

本研究探讨在具有社会责任关注的城市旅游目的地中, 游客的环保行为, 并提出了基于“刺激-有机体-反应”（SOR）框架的概念模型。研究旨在识别目的地社会责任（DSR）、环境关注、地方依恋和感知效能如何影响游客的环保行为（ERB）。

通过在线问卷调查收集了400名访问过西班牙五个城市旅游目的地的西班牙游客的数据。采用结构方程模型（SEM）验证提出的模型并测试假设。构念通过可靠且验证过的量表进行测量, 以确保数据质量。

结果证实了SOR框架中的关系：DSR对环境关注、地方依恋和感知效能有正向影响。环境关注和地方依恋在DSR对ERB的影响中起中介作用。研究强调了地方依恋和感知效能作为关键因素, 将环境关注转化为环保行为。提出的模型解释了ERB方差的64.5%。

本研究扩展了在城市旅游情境中对环保行为的理解, 强调了DSR作为情感和行为结果催化剂的作用。通过将多种理论视角整合到统一模型中, 该研究为城市目的地如何利用社会责任促进可持续发展和游客参与提供了新的见解。

Este estudio investiga el comportamiento turístico ambientalmente responsable en destinos urbanos con un enfoque en la responsabilidad social, proponiendo un modelo conceptual basado en el marco de Estímulo-Organismo-Respuesta (SOR). La investigación tiene como objetivo identificar cómo la responsabilidad social del destino (DSR), la preocupación ambiental, el apego al lugar y la percepción de eficacia influyen en el comportamiento ambientalmente responsable (ERB) de los turistas.

Se recopilaron datos mediante una encuesta en línea realizada a 400 turistas españoles que visitaron cinco destinos urbanos en España. Se utilizó modelado de ecuaciones estructurales (SEM) para validar el modelo propuesto y probar las hipótesis. Los constructos se midieron utilizando escalas confiables y validadas para garantizar la calidad de los datos.

Los resultados confirman las relaciones dentro del marco SOR: la DSR influye positivamente en la preocupación ambiental, el apego al lugar y la percepción de eficacia. La preocupación ambiental y el apego al lugar median el efecto de la DSR en el ERB. El estudio destaca el apego al lugar y la percepción de eficacia como factores críticos que transforman la preocupación ambiental en comportamiento ambientalmente responsable. El modelo propuesto explica el 64,5% de la varianza del ERB.

Esta investigación amplía la comprensión del comportamiento ambientalmente responsable en contextos de turismo urbano, enfatizando el papel de la DSR como un catalizador de resultados emocionales y conductuales. Al integrar diversas perspectivas teóricas en un modelo unificado, el estudio ofrece nuevos conocimientos para que los destinos urbanos aprovechen la responsabilidad social en la promoción de la sostenibilidad y el compromiso turístico.