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This research sought to determine the impact of the management of electronic customer relationships through applying 5IS model on the mental image of Umniah Mobile Network Operator Company’s customers in Amman City. To fulfill the goals of the study, the researcher adopted the descriptive, analytic method. He developed an instrument to collect the data through a questionnaire, which was distributed through the simple, random sampling method over 700 customers of Umniah Company, in the City of Amman, out of which 400 analyzable questionnaires were retrieved. The researcher further employed the convenient statistical methods applying SPSS 22 Program for data analysis. The study concluded many results such as there is statistically significant impact at the significance level (α < 0.05) for the administration of consumer relationships through the use of 5IS model on the mental image of the provided services of Umniah Mobile Network Operator Company in Amman city. In this concern, the integration component is the most influential in the mental image with the customers of Umniah Company. Therefore, the study recommended the need Umniah Telecom Company has to search for the best means to positively influence shaping the mental image of its products, especially the means through which it can provide more information about its services.

The purpose of this paper is to (1) characterize representational and nonrepresentational images; (2) review the literature on representational and nonrepresentational images; (3) introduce the theory of consumption values (TCV) framework vis-à-vis representational and nonrepresentational images; and (4) generate propositions and questions for future research based on that intersection.

Conceptual/literature review with propositions and future research directions.

The authors offer nine propositions and several associated example research questions to explore and document the important ways in which representational and nonrepresentational images can affect the five dimensions of value as outlined in the TCV.

It is the hope that this work serves as a theoretical starting point – surely, there are other theories and frameworks beyond the TCV that may share ties with types of images, which scholars should be encouraged to explore, but if the authors had attempted to document every possible theory, the result would be a limitless document. As such, the authors have honed the efforts on a broad-reaching framework, the TCV, in the attempt to balance theoretical insights with parsimony. Through exploration of these and other avenues, the authors hope that scholars and practitioners alike will benefit from elucidation of theories and effects around representational and nonrepresentational images.

Several practical implications flow from the dimensions and propositions within this work.

Representational and nonrepresentational images have featured prominently throughout visual content and communications for centuries, yet the current body of literature remains scant and underdeveloped in its relationship to marketing. The present work addresses this gap by using the TCV as an overarching framework to generate propositions and future research questions.

This study aims to investigate the impact of destination accessibility on pro-tourism behaviour directly and indirectly through environmental impacts and/or affective destination image from residents’ point of view. It also investigates the moderated mediation effect of residency length in the indirect relationships between destination accessibility and pro-tourism behaviour through the negative environmental impacts or affective destination image.

A quantitative method was applied. More specifically, the survey approach was found to be the most effective method of data collection for this research. In total, 351 questionnaires were collected through an online survey from people who currently live in Alexandria. The questionnaire was translated into Arabic while adhering to back-translation guidelines. SPSS and AMOS software were used to analyse the collected data.

The results showed that residents’ destination accessibility affects both destination image and destination environment but does not affect the pro-tourism behaviour. It indirectly affects the pro-tourism behaviour through only affective destination image. Residency length plays a moderation role in this indirect relationship.

The current study can help policymakers, governments and tourism institutions to make decisions. Policymakers can use these results to adopt a comprehensive policy that encompasses different interested parties in tourism, in order to ensure that tourism development efforts will succeed. The government can also join hands with tourism institutions to mitigate the negative impacts of tourism in order to balance the negative and positive impacts of tourism.

The study contributes to the existing literature by highlighting the importance of destination accessibility to support tourism behaviours in domestic tourism.

The digital marketing landscape is rapidly evolving, but the integration of visual content still heavily depends on human expertise. Driven by the quest for innovative marketing strategies that resonate with family-oriented consumers, this study seeks to bridge this gap by applying machine learning to analyze visual content in the maternity and baby care product sector.

This study incorporates a range of machine learning techniques – including open science framework feature detection, panoptic segmentation, customized instance segmentation, and face detection calculation methods – to analyze and predict the appeal of images, thereby enhancing user engagement and parent-child intimacy.

The exploration of various ML models, such as DT, LightGBM, RIPPER algorithm, and CNNs, has offered a comparative analysis that addresses a methodological gap in the existing literature, which frequently depends on isolated model evaluations. According to our quadrant analysis with respect to engagement rate and parent-child intimacy, the selection of a model for real-world applications depends on balancing performance and interpretability.

The proposed system offers a series of actionable recommendations designed to enhance customer engagement and foster brand loyalty. This study contributes to image design in maternity and baby care marketing and provides analytical insights for recommendation systems.

Taking the lens of a cue diagnosticity framework and affective primacy theory, this study aims to examine the relative effects of cognitive and affective country image on consumer cognitive judgement, affective evaluation and behavioural tendency in one integrated model. It also explores how the direct effects may vary with the intra-valence nature (ambivalent vs. univalent) of cognition-affect.

The proposed research model was tested using data from a large Chinese sample and consumer responses to products from four countries − the USA, Japan, Brazil and India.

The results show that the relative effects of cognitive and affective country image are complex and differ by the intra-valence nature of cognition-affect. On a general level, cognitive and affective country image exert equal influence on affective evaluation and behavioural tendency. In contrast, cognitive country image demonstrates a more prominent effect than affective country image on cognitive judgement. Compared with univalent, ambivalent cognition-affect strengthens the positive impact of affective country image but does not significantly alter the positive impact of cognitive country image on consumer reactions.

This research contributes to the ongoing debate regarding implications of two focal aspects of macro country image by revealing their relative importance in an integrated framework and enriches country-of-origin research through unveiling the uni/ambivalent cognition-affect as a moderator of the relationship between cognitive/affective country image and consumer reactions. The research findings provide implications as to whether and when marketing strategies should focus on leveraging positive (negative) cognitive or affective country image.

Visually impaired people usually struggle with doing daily tasks due to a lack of visual cues. For image captioning assistive applications, most applications require an Internet connection for the image captioning generation function to work properly. In this study, we developed MyUEVision, an application that assists visually impaired people by generating image captions that can work with and without the Internet. This work also involves reviewing some image captioning models for this application.

The author has selected and experimented with three image captioning models for online models and two image captioning models for offline models. The user experience (UX) design was designed based on the problems faced by visually impaired users when using mobile applications. The application is developed for the Android platform, and the offline model is integrated into the application for the image captioning generation function to work offline.

After conducting experiments for selecting online and offline models, ExpansionNet V2 is chosen for the online model and VGG16 + long short-term memory (LSTM) is chosen for the offline model. The application is then developed and assessed, and the results show that the application can generate image captions with or without the Internet, providing the best result when having an Internet connection, and the image is captured in good lighting with a few objects.

MyUEVision stands out for its both online and offline functionality. This approach ensures the image captioning generator works with or without the Internet, setting it apart as a unique solution to address the needs of visually impaired individuals.

The purpose of this study is to test the relationship of cognitive destination image and affective destination image with tourist satisfaction and revisit intention. This study also tested the mediation effect of tourist satisfaction between cognitive destination image and affective destination image with revisit intention. Furthermore, place attachment is aimed to test as a moderator between tourist satisfaction and revisit intention.

Participants in this study are international visitors who were visiting different tourist places in Pakistan. A total of 340 tourists participated in the data collection process, and subsequent data analysis was performed using SPSS and smart-PLS.

The results confirmed a significant effect of affective destination image on revisit intention, whilst’ cognitive destination image does not signify a significant influence on revisit intention for international tourists; however, tourist satisfaction confirmed the mediation effect between cognitive-affective destination image and revisit intention. Furthermore, the place attachment confirmed significant moderation with revisit intention.

This study provides valuable insights into the context of tourist revisit intention in Pakistan. To the best of the authors’ knowledge, the model tested in this study (affective destination image and cognitive destination image > tourists’ satisfaction > place attachment > revisit intention) is developed for the first time and is the first of its kind to test the moderation effect of place attachment with revisit intention. This study is supported by the Oliver expectancy disconfirmation theory and the Bowlby theory, which is another novelty of this study.

This study aims to critically evaluate the impact of government tourism promotion methods on city image and visiting intentions and to explore the moderating effect of tourism experience on two of the conceptualized relationships, using Macao as a case study.

The research analyzed responses from 407 Macao visitors during the pandemic to determine the effects of tourism promotion methods on the city’s image and visiting intention using structural equation modeling (SEM) to test the hypotheses.

This study revealed that tourism promotion methods positively impact the city’s image and visiting intentions. City image also mediates the relationship between tourism promotion methods and visiting intentions. Furthermore, tourism experience moderates the relationships between promotion methods and city image and between promotion methods and visiting intentions.

The study’s findings on the effects of promotion methods utilized by local governments support and expand upon existing theoretical frameworks within the realm of nonprofit organizations’ management and marketing for destination marketing organizations (DMOs). However, the cross-sectional design limits causality, and findings may not be generalizable beyond Macao without further comparative research.

This study provides valuable insights for policymakers and marketers to design promotional campaigns that deliver authentic and memorable experiences, aligning with their promotional promises, especially in postpandemic contexts.

This research contributes to the theoretical and methodological advancement of management and marketing for DMOs from a public sector perspective, highlighting the critical role of government involvement in urban tourism promotion.

The research offers valuable insights into how promotional activities influence visiting intentions, advancing tourism management and marketing for DMOs from a nonprofit perspective. The study validates theories and adds unique insights by focusing on Macao’s postpandemic recovery, offering practical implications for similar urban settings.

This paper examines the moderating effects of online reviews on the relationship between country image, product image, and purchase intention of products from two developed countries in Vietnam.

This current research used a cross-sectional design. Data was collected via questionnaires, and 305 responses were left after refining. The collected data were analyzed using exploratory factor analysis, confirmatory factor analysis, structural equation modeling, and multi-group analysis methods.

Affective country images do not directly affect purchase intention when online review quality and positivity are high. Cognitive country images still directly affect purchase intention when online review positiveness is low. However, online review quantity does not moderate the effects of country images on product images and purchase intention.

Cognitive country image consistently affects purchase intention through the central route independent of online reviews. In contrast, the affective country image will likely affect purchase intention through the peripheral route when online reviews are insufficient for customers.

Firms can mitigate the adverse effects of country image, especially cognitive country image, in foreign markets by improving online review quality and positiveness.

Our study extended existing literature by providing a better understanding of the nature of country image and the roles of country image dimensions in shaping product image and purchase intention in the context of the increasing popularity of online reviews.

The purpose of this study is to investigate the mediating effect of perceived destination image attributes on the inter-relationship between online user-generated content’s information qualities (UGC) and tourists behavior by extending the Mehrabian and Russel’s stimulus-organism-response (SOR) model.

Based on the Malaysian tourism setting, a total of 255 valid responses from foreign inbound tourists were collected. Partial-least square-structural equation modeling (PLS-SEM) was used to test study hypotheses.

The PLS-SEM indirect path analysis confirms that cognitive image mediates the relationship between intrinsic information quality and behavioral intentions. Meanwhile, affective image significantly mediates the contextual information quality influence on behavioral intentions. Interestingly, however, this study found affective image mediated oppositely on the relationship between social information quality and behavioral intentions.

The study provides a better understanding of how destination image impacts the way tourists perceive different information qualities on behavioral intentions, which suggests the ongoing complex nature of these human-technology relationships within the tourism realm.