54 research outputs found
Scarcity in today´s consumer markets: scoping the research landscape by author keywords
No full textScarcity refers to not having enough of what one needs. This phenomenon has shaped individuals´ life since ancient times, nowadays ranging from daily-life scarcity cues in shopping scenarios to the planet's resources scarcity to meet the world´s consumer demand. Because of this ubiquity of scarcity, the topic has been attracting attention from scholars and practitioners in different areas. Studies regarding scarcity were conducted across disciplines, based on different assumptions, and focused on distinct study subjects. A lack of mainstream about this topic hindered the convergence of core ideas among different schools of thought. In this article, we take an integrative socio-economic perspective to join diverse findings on scarcity affecting consumer markets, identify topic-specific research questions still to be answered, and provide suggestions for future and integrative research opportunities. A systematic review based on author keywords from 855 publications analyzing scarcity affecting business-consumer interactions serves as a database. Exploratory factor analyses based on author keywords identify shared patterns within and linkages across discourses stemming from various disciplines and theories. Results differentiate distinct research foci in the consumer behavior, socio-political, and other disciplinary research realms. A mapping of these research themes identifies the scarcity-related interplay among consumers, producers, and other stakeholders. Findings point out research directions for future studies at both the research realm level and the interdisciplinary level
Framing a Trust Game as a Power Game Greatly affects Interbrain Synchronicity between Trustor and Trustee
Full text linkWe used dual electroencephalography (EEG) to measure brain activity simultaneously in pairs of trustors and trustees playing a 15-round trust game framed as a “trust game” versus a “power game”. Four major findings resulted: first, earnings in each round were higher in the trust than in the power game. Second, in the trust game, reaction time for strategic deliberations was significantly longer for the trustee than the trustor. In the power game, however, the trustee took longer to think about how much money to repay, whereas the trustor took longer to think about how much money to invest. Third, prediction accuracy for the amount exchanged was higher in the trust game than in the power game. Fourth, interbrain synchronicity gauged with the phase-locking value of alpha bands in the brain – especially the frontal and central regions – was higher in the power game than in the trust game. We infer that this last finding reflects elevated mutual strategic deliberation in the power game. These behavioral and neuroscience-based findings give a better understanding of the framing effects of a trust game on the strategic deliberations of both trustor and trustee seeking to attain wealth. Copyright © 2018 Informa UK Limite
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Theoretical Understanding of Mechanical Exfoliation Process of vdW Bonded Layered Materials
No full textWeak interlayer interactions in van der Waals bonded layered materials enable us to isolate 2D monolayer from the bulk by means of simple mechanical exfoliation methods. Since the first time graphene was extracted from bulk graphite, this method has been used extensively to produce various 2D monolayers. Despite its success, this method is not a well-controlled process since it usually requires a random number of mechanical exfoliation steps to yield a monolayer sample and final sample size is relatively small. Recently, a thin film mediated mechanical exfoliation method has addressed these problems by enabling a one-step exfoliation scheme to achieve monolayers. This dissertation examines the process from a theory perspective. To reveal its underlying mechanism as well as have a comprehensive understanding of the mechanical exfoliation process, we have developed a rigid layer model for van der Waals bonded layered materials. The assumption is based on the fact that, there exists very low frequency phonon vibration modes, in which the layers move nearly as rigid units and these low frequency vibration modes essentially determines the stability of the big structure. Within the framework of rigid layer model, we have analyzed the mechanical stability of vdW bonded layered system under the perturbation of external loading force and thermal noise. We have shown that the effectiveness of thin film mediated method arise from the change of soft mode. Furthermore, we found that twisting topmost layer with rotation angle has similar effect and should lead to improvement in exfoliation result as well. Finally, this rigid layer model has been compared with atomic model to show its scope of application. At zero temperature, all these atomic scale simulation results agree with the rigid layer model suggesting that the simple model captures the essential features of the exfoliation mechanisms of vdW bonded layered materials at low temperature. This simple model can serve as a reasonable and efficient way to assess the factors affecting the mechanical exfoliation results
Theoretical Understanding of Mechanical Exfoliation Process of vdW Bonded Layered Materials
No full textTheoretical Understanding of Mechanical Exfoliation Process of vdW Bonded Layered Materials
No full textSequence effects of city tour experiences: A tourism fatigue perspective
No full textCity tours provide travelers with various experiences by means of a series of attractions, but little attention is paid to the effects that the sequence in which travelers visit these attractions have on their tourism evaluation. The paper aims to investigate the sequence effects of experiences along the experience economy model's two axes. This study analyzed 33,350 records that 7855 travelers on a city tour of Madrid posted of about 525 attractions on TripAdvisor. The results reveal that travelers value a sightseeing experience less if a previous attraction offered the same type of experience. Furthermore, active-participation attractions are more highly rated when visited after passive-participation ones. Similarly, travelers rate attractions providing absorption more positively after they have visited immersion ones. The findings are explained by using various tourism fatigue dimensions: affective fatigue, motivational fatigue, and cognitive fatigue. The study shows that sequence effects play an important role in helping to prevent tourism fatigue and increase tourism satisfaction, both of which have practical implications for tourism marketers' planning strategy.91,7036,952Q1Q1SSC
How do avatar characteristics affect applicants' interactional justice perceptions in artificial intelligence‐based job interviews?
No full textArtificial intelligence (AI)-based job interviews are increasingly adopted in organizations' recruitment activities. Despite their standardization and flexibility, concerns about fairness for applicants remain a critical challenge. Taking a perspective on interface design, this research examines the role of avatar characteristics in shaping perceptions of interactional justice in AI-based job interviews. Through a scenario-based study involving 465 participants, the impact of avatar characteristics—specifically, appearance, linguistic style, and feedback informativeness—on applicants' perceptions of interpersonal justice and informational justice was investigated. The findings indicate that avatars characterized by a warm and cheerful appearance, coupled with an affective expression style and informative feedback, significantly enhance perceptions of interpersonal justice and informational justice. These insights offer valuable practical guidance for avatar design in AI-based job interview systems.</p
Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities
No full textObjectiveThe urban governance of Beijing, the capital of China, not only affects Beijing’s development quality, but also directly impacts China’s international image. Therefore, in the face of the problem of a large amount of bare land generated in urban construction, the Beijing Municipal Government innovatively proposed the special work of “net uncovering for greening” in 2021, aiming to reduce dust pollution, improve the quality of Beijing’s ecological environment, and achieve the beautiful vision of “Green Beijing” by effectively managing the construction sites, temporary storage yards and other areas covered with tarpaulin cover. However, in the process of implementing this special work, how to efficiently and accurately monitor the status of the tarpaulin cover has become an urgent technical problem to be solved. There is still a gap in research in this field both domestically and internationally, and there is an urgent need for a scientific and systematic monitoring system to support the effective promotion of the special work of “net uncovering for greening”.MethodsTaking the special work of “net uncovering for greening” in Beijing as an example, this research combines the technical means of remote sensing interpretation and deep learning with the U-Net model to train the samples of tarpaulin cover. Then, through human-computer interaction mode, the extraction of the tarpaulin cover and the land parcel under management is achieved. Specifically, the research first utilizes high-resolution satellite remote sensing images as the basic data source, and ensures data quality through preprocessing measures such as image correction and enhancement. Subsequently, representative samples of tarpaulin cover are selected for annotation, and a training dataset is constructed. This process is crucial because high-quality sample data directly affects the accuracy and generalization capability of subsequent model training. The U-Net model, with its unique encoding decoding structure, is able to learn and capture the fine features of the tarpaulin cover as shown in corresponding images, thereby achieving precise segmentation. Through training with a large number of samples, the U-Net model can gradually learn how to distinguish between tarpaulin cover and other types of surface cover, such as bare soil and vegetation. In practical operation, in order to improve monitoring efficiency and accuracy, the research team also introduces a human-computer interaction mode. This mode allows professionals to verifies and correct the preliminary segmentation results of the model, especially in complex scenes or areas with fuzzy edges. Manual intervention can significantly improve the reliability of the results. This mode can not only optimize the performance of the model, but also promotes seamless integration between the model and actual operations, making monitoring work more efficient and flexible.ResultsThis research constructs a complete working system of “establishment − implementation − verification − monitoring”. Specifically, “establishment” represents the establishment of annual accounting data and the clarification of annual work tasks; “implementation” refers to the implementation and feedback of the work of uncovering the net and promoting green development, namely the work of uncovering the net of classified land parcels; “verification” refers to the verification of uncovered land parcels. The remote sensing technology department verifies the implementation of uncovered land parcels based on feedback from the location information of uncovered land parcels and the description of uncovering situation provided by the implementation department, with high-resolution satellite images as the data source; “monitoring” refers to the dynamic monitoring of tarpaulin cover, involving the reduction, addition and variation of tarpaulin cover based on the background data of tarpaulin cover. From 2020 to 2024, Beijing has completed 8 phases of city-wide monitoring of tarpaulin cover net using the working system of “net uncovering for greening”, effectively grasping the distribution and dynamic changes of tarpaulin cover across the city, and providing scientific basis for government decision-making. At the same time, with the deepening of monitoring work, the research team has continuously expanded and improved the sample library of tarpaulin cover, with more types of tarpaulin cover materials, environmental conditions, and image data under seasonal changes being incorporated.ConclusionIn summary, the special work of “net uncovering for greening” in Beijing is not only an innovative practice of urban management, but also a successful case of deep integration of satellite remote sensing and deep learning technology. By establishing a scientific working system, efficient and accurate monitoring of land parcels subject to “net uncovering for greening” has been achieved, providing strong support for the ecological environment governance of mega cities. With the establishment and continuous enrichment of the sample library of tarpaulin cover, further support can be provided for intelligent interpretation of remote sensing images. In this research, the working system is expected to be promoted and applied in more fields, contributing to the construction of greener and smarter cities. Meanwhile, it also provides valuable experience and inspiration for similar work at home and abroad, thus upgrading urban management and environmental protection to a higher level
Exploring Consumer Engagement through Extended Reality (XR) in Fashion: Analysing the Impact of Immersive Experience on Consumer Behaviour and Purchase Intent
Full text linkThis study offers comprehensive insights into the acceptance and impact of XR technologies on consumer behavior in the UK's young adult fashion market. Utilising a survey and PLS-SEM, the responses from 235 respondents aged between 18-35 were analysed, revealing that immersive experience has a positive influence on effort expectancy, facilitating conditions, hedonic motivation and social influence in the context of XR fashion industry. Surprisingly this study also revealed that performance expectancy and immersive experience have a negative relationship. This challenges existing assumptions, suggesting that consumer behaviour in XR may be governed by distinct factors compared to other technological contexts. Effort expectancy, facilitating conditions and hedonic motivation all positively influenced consumers purchase intent, however, performance expectancy and social influence did not. The study suggests that consumer behaviour in XR may be driven by unique factors. These insights can help fashion brands cater to the evolving preferences of a tech-savvy, trend-conscious demographic
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