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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 examine branding consistency for wine labels. The front label on wine bottles is important for identifying the brand and aiding purchase. Many brands are part of brand families, with the sub-brands linked to the overall brand family. This research provides an overview of how the front label varies across product portfolios of wine brands, noting the importance placed on branding elements and the level of consistency in their use across the brand portfolio.

The authors propose and test a new method to measure branding consistency on labels from the same brand family. Two coding frameworks were created. The first recorded the incidence of brand elements and wine attributes. The second coded wine labels within a company’s portfolio based on the consistency of various brand elements. A total of 3,000 branding elements and wine attributes from 300 wine labels were examined across 60 wine brands from a list of Australian wineries.

Grape variety, brand name and region are used across >90% of wine labels. Branding is presented more prominently than wine attributes. Sub-brand, region, price and variety did not influence branding consistency. Logo presence, logo image on label and colour elements contribute to the greatest variation in branding consistency across a product portfolio.

This study proposes and tests a novel method to measure branding consistency on wine labels and explores the extent to which consistent branding is used across product portfolios. Descriptive research is the first step to theory building. This study provides industry norms for attribute use and a measure of branding consistency for product portfolios giving valuable descriptive knowledge.

The purpose of this paper is twofold: first, to propose a methodology to empirically investigate the longitudinal development of social media content concerning buildings characterized by iconic architecture and second, to report on the application of this methodology.

We collected and analyzed empirical data of social media content shared via Instagram between 2011 and 2019 on 16 buildings that can be considered iconic architecture projects. Using an automated pipeline, we collected and processed 264,000 posts and 140,000 images from Instagram for the selected case studies. By studying the posting activity of Instagram users through time series analysis and conducting content analysis of the social media posts by means of both image classification and topic modeling, we report on the development of users’ capturing and reception of the selected case studies on Instagram over time.

First, we identify two distinct time patterns of social media content: instantly popular buildings whose popularity fades over time and buildings that gradually gain popularity over time. Second, we distinguish differences in the content of social media posts: some buildings are primarily covered for their architectural features and others for their cultural function and facilities.

Using empirical investigation of Instagram data on iconic architectural projects, we have identified a correlation: buildings primarily posted for their architecture are generally also the ones to gain instant online popularity that subsequently faded over time. In contrast, buildings primarily posted for their function and facilities slowly gained popularity on the social media platform over time.

The swivel construction method is a specially designed process used to build bridges that cross rivers, valleys, railroads and other obstacles. To carry out this construction method safely, real-time monitoring of the bridge rotation process is required to ensure a smooth swivel operation without collisions. However, the traditional means of monitoring using Electronic Total Station tools cannot realize real-time monitoring, and monitoring using motion sensors or GPS is cumbersome to use.

This study proposes a monitoring method based on a series of computer vision (CV) technologies, which can monitor the rotation angle, velocity and inclination angle of the swivel construction in real-time. First, three proposed CV algorithms was developed in a laboratory environment. The experimental tests were carried out on a bridge scale model to select the outperformed algorithms for rotation, velocity and inclination monitor, respectively, as the final monitoring method in proposed method. Then, the selected method was implemented to monitor an actual bridge during its swivel construction to verify the applicability.

In the laboratory study, the monitoring data measured with the selected monitoring algorithms was compared with those measured by an Electronic Total Station and the errors in terms of rotation angle, velocity and inclination angle, were 0.040%, 0.040%, and −0.454%, respectively, thus validating the accuracy of the proposed method. In the pilot actual application, the method was shown to be feasible in a real construction application.

In a well-controlled laboratory the optimal algorithms for bridge swivel construction are identified and in an actual project the proposed method is verified. The proposed CV method is complementary to the use of Electronic Total Station tools, motion sensors, and GPS for safety monitoring of swivel construction of bridges. It also contributes to being a possible approach without data-driven model training. Its principal advantages are that it both provides real-time monitoring and is easy to deploy in real construction applications.

This study proposes a conceptual model and aims (1) to understand how co-creation experience influences guest engagement, (2) to analyse the effect of satisfaction and affective image between co-creation experience and guest engagement, and (3) to analyse the effect of guest engagement on behavioural intentions.

A questionnaire-based online survey was conducted targeting U.S.-based hotel customers. Developed on Qualtrics and distributed via Mechanical Turk, the survey garnered 465 useable responses from individuals who had visited international chain hotels within the last year. Data analysis was performed using Structural Equation Modelling (SEM) in IBM SPSS Amos.

The findings revealed significant direct effects of co-creation experience on affective image and guest satisfaction, with guest satisfaction notably influencing guest engagement, and guest engagement directly influencing behavioural intention. However, both co-creation experience and affective image showed minimal direct impact on guest engagement. The study also highlighted the importance of indirect effects and total effects in understanding the dynamics between the constructs analysed.

The findings revealed significant direct effects of co-creation experience on affective image, with affective image notably influencing guest engagement, and guest engagement directly influencing behavioural intention. Although satisfaction had direct effects on guest engagement, co-creation experience showed minimal direct impact on guest satisfaction and on guest engagement.

This study advises managers to use co-creation primarily to enrich guest experiences and establish emotional connections rather than as a tool for directly enhancing engagement. It recommends that managers invest in strategies to enhance guest engagement beyond co-creation given the direct link between guest engagement and behavioural intentions, and the minimal direct impact between co-creation, guest engagement and satisfaction.

This study demonstrates that affective image is a pivotal mediator between co-creation experience and guest engagement. The findings provide valuable implications for hospitality practitioners in designing and managing co-creation experiences, emphasizing the importance of fostering a positive affective image in the value co-creation process to attain positive behavioural outcomes.

The main purpose of this study is to investigate the mediating role of fashion clothing involvement in the relationship between body appreciation and maladaptive consumption, namely fashion-oriented impulse and compulsive buying. The second purpose of this study is to investigate if this mediation varies based on gender.

A quantitative approach was adopted in this study, and data were collected via Amazon Mechanical Turk from 255 consumers located in the U.S. aged 18 and above. The collected data were analyzed using the least partial square and multi-group analysis of the structural equation model.

The results revealed that the relationship between body appreciation and maladaptive consumption is established through fashion clothing involvement. Results also showed that the mediating role of fashion clothing involvement in this relationship does not significantly differ across gender.

This study reports the fully mediating role of fashion clothing involvement in the relationship between body appreciation and maladaptive consumption, highlighting the importance of studying positive body image in the context of fashion and consumption. While previous research findings indicate the negative consequences of negative body image, this research reveals that positive body image can also lead to negative outcomes through possible mediators. Furthermore, this study finds fashion clothing involvement does not differ in mediating the relationship between body appreciation and maladaptive consumption behavior based on gender.

The aim of this paper is to understand the importance of consumer loyalty in the specific context of Hotel Family Business. This study proposes a conceptual model to examine how perceived service quality and corporate social responsibility (SCR) influence guest satisfaction and loyalty, and also how they relate to corporate image, perceived value and price.

Through the structural equation model (SEM), a research model was proposed to examine SQ and CSR affect satisfaction and loyalty to the Douro Family Hotel and also, how they interact with corporate image, perceived value and price. The main purpose is to analyse the drivers of guest loyalty and its importance for the development and sustainability of family hotels in Douro (Portugal).

The results of the study indicate that CSR and SQ perceived by the guest have a direct and positive effect on guest satisfaction and loyalty to Douro family hotels. These variables are also determinants of the perceived value, corporate image and price.

The sample is restricted and obtained by the convenience technique, but with sufficient size for the application of the structural equations model. However, the results obtained cannot be generalised to all hotels or contexts, as they only reflect information on family hotels in the Douro.

Family businesses are a substantial share of the European economy, from the industrial sector to the services industry, including also hospitality. In Portugal, family businesses likewise play a key role, both in terms of wealth creation and job creation.

These findings provide knowledge to family hotels on how they should implement a CSR policy that promotes service quality, corporate image and guest satisfaction, and therefore their loyalty and the competitiveness of the family hotel business.

Based on the strong feature representation ability of the convolutional neural network (CNN), generous object detection methods in remote sensing (RS) have been proposed one after another. However, due to the large variation in scale and the omission of relevant relationships between objects, there are still great challenges for object detection in RS. Most object detection methods fail to take the difficulties of detecting small and medium-sized objects and global context into account. Moreover, inference time and lightness are also major pain points in the field of RS.

To alleviate the aforementioned problems, this study proposes a novel method for object detection in RS, which is called lightweight object detection with a multi-receptive field and long-range dependency in RS images (MFLD). The multi-receptive field extraction (MRFE) and long-range dependency information extraction (LDIE) modules are put forward.

To concentrate on the variability of objects in RS, MRFE effectively expands the receptive field by a combination of atrous separable convolutions with different dilated rates. Considering the shortcomings of CNN in extracting global information, LDIE is designed to capture the relationships between objects. Extensive experiments over public datasets in RS images demonstrate that our MFLD method surpasses the state-of-the-art methods. Most of all, on the NWPU VHR-10 dataset, our MFLD method achieves 94.6% mean average precision with 4.08 M model volume.

This paper proposed a method called lightweight object detection with multi-receptive field and long-range dependency in RS images.

This paper aims to unveil the darker side of cryptocurrencies by delving into its role as an obstacle to investments in Middle East and African (MEAs) countries, unravelling the challenges involved. Indeed, despite the rise of blockchain-related technologies, specifically cryptocurrencies, having undeniably unlocked new avenues for business and society, crypto for venture funding purposes may exhibit a “dark side” due to their use for unethical purposes, for example, money laundering or terrorism financing, largely diffused in certain areas of MEA countries.

Through an explorative research design, using a mix of techniques based on both qualitative and interpretive methods, we conducted in-depth interviews among 33 European managers of companies engaged in MEA markets or aspiring to invest in such foreign markets, to analyse their thoughts, perceptions and possible strategies concerning the management of the “dark side” of cryptocurrencies in MEAs.

Our investigation unearthed seven pivotal issues, which manifest as significant barriers related to the ambivalent use of crypto for funding projects, encompassing seven important consequential elements: (1) lack of knowledge about the technology’s potentialities; (2) perceptions of crypto technology’s ambivalence; (3) reputation and image consequences; (4) uncertainty about the destination of the invested funds; (5) decreased attractiveness of MEAs; (6) competition and market; and (7) lack of control and regulation. We grouped these into technology-related, business-related and legal- and policy-related barriers. Such findings underline the probable decrease in attractiveness of MEAs in terms of investments, together with the triggering factors and potential strategic solutions to mitigate such circumstances.

Future studies could explore a broader sample of managers since we only considered the perception of European managers operating in companies that invest (or are intending to invest) in MEAs. Moreover, future research may extend the analysis to MEA-native companies or those engaging in reciprocal exchanges with Western countries.

Practically, our findings suggest several elements in which to intervene to mitigate managers’ negative perception of the unethical use of cryptocurrencies in MEAs and to support CEOs’ and CFOs’ strategies, together with requirements to ensure the unaltered attractiveness of investments in an otherwise thriving region of the world, without overlooking the protection and safeguarding of investments and the health of the market and competition. Furthermore, a call for future research in this domain, along with at least minimal regulatory mechanisms, clearly emerges.

Our findings underline the social challenges associated with the perception and acceptance of cryptocurrencies in these contexts, influencing cultural and social dynamics. Moreover, the identification of these barriers could underscore the significance of awareness of and education on blockchain technology and cryptocurrencies within society, including implications for policymakers.

Despite prior investigations into the negative effects of cryptocurrencies as a form of venture funding, no studies to date have examined managers’ perceptions by focusing on possible barriers to investment in MEA countries due to the unethical usage of crypto. Importantly, this paper unravels the unexplored complexities of crypto’s impact on ethical investments in MEAs, showcasing an original perspective.

Natural environments and imagery are known to have a myriad of effects on people’s physical and psychological states. However, little is known about how exposure to nature-related imagery can influence consumers’ motivational states. This research investigates the effect of exposure to nature on consumers’ regulatory focus. More specifically, this paper proposes that consumers exposed to nature will exhibit stronger promotion-oriented focus and weaker prevention-oriented focus, and as such, these consumers will prefer promotion-framed marketing messages over prevention-framed ones. This paper aims to explore a mediating mechanism and a boundary condition for this effect.

A series of six experiments, including an Implicit Association Test, examined the effect of exposure to images of natural objects and scenes (in contrast with non-nature imagery) on consumers’ regulatory focus and whether they experienced regulatory fit when encountering promotion-framed (vs prevention-framed) advertising messages.

The results revealed that consumers exhibited lower prevention-focused and higher promotion-focused motivational orientation after exposure to nature. Furthermore, exposure to nature led consumers to experience more regulatory fit with promotion-oriented marketing messages than prevention-oriented ones. This study found that natural environments offer urban consumers a reprieve from their day-to-day life, which mediates the effect of exposure to nature on regulatory focus. This study investigated the boundary condition of engaging in maintenance of nature (e.g. mow the grass) in which the effects of nature on regulatory focus were attenuated.

This study used text and pictures related to nature as a way to expose the online participants to nature. Future research may use field studies with participants in real natural settings, with expectation of stronger effects. Second, this study examined mostly urban American participants. There may be cultural differences or living situations (e.g. living “off the grid” and in the “wild”) that influence people’s relationship with nature. Future research may examine how these differences can affect the influence of exposure to nature on motivational orientation.

The findings have direct implications for marketing managers and other related stakeholders. Exposing urban consumers to nature – even images of nature – they become more receptive to promotion-framed advertisements and marketing communications (vs prevention-framed messaging).

Little is currently known about how exposure to nature can influence psychological processes such as motivational orientation. This research contributes to the understanding of consumers’ responses to nature-related imagery in advertising and the effect that nature imagery has on consumers’ motivational orientation. This research also contributes to the body of work on regulatory focus by identifying a novel context in which consumers’ motivational orientation can be influenced.