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This study, a narrative literature review, aims to examine the combined benefits of the active and passive use of social media (SM) for well-being (WB), physical and mental health during the COVID-19 pandemic.

A search strategy has been carried out in the databases: Riss, PubMed, Medline, Scopus and Google Scholar, including all the articles published until 19 October 2023.

SM offers various benefits, including global risk awareness, health information, social connections and support. With the natural increase in physical inactivity due to COVID-19 social restrictions, SM has been identified as an appropriate tool for promoting physical activity (PA) at home to improve health.

It suggests that the combined use of active and passive benefits of SM could potentially play an important role in public health by increasing individuals’ health behaviours. In addition, dissemination, sharing and social interaction of information provided by YouTube can encourage healthy behaviours, contribute to WB, physical and mental health and raise public health awareness.

The findings presented in this study highlight the combined benefits of differentiating the features of SM use. Compared to other SM platforms, YouTube can be used as a useful tool for home-based PA that promotes health by enabling people to remain active and avoid barriers to PA due to social restrictions during the global crisis. In addition, some recommendations from the findings may help protect against potential risks and improve public health outcomes during global crises, such as the COVID-19 pandemic, among the general public using SM.

This paper aims to in the modern world, possessing an attractive appearance is often considered a highly valued attribute. As such, the perceptions and satisfaction with one’s body are shaped by dominant cultural norms. Adolescents, women in particular, who are heavily influenced by media representations, may tend to have a distorted body image (BI), including adopting extreme dieting methods. This study reviews the adverse effects of excessive weight loss associated with this.

The authors searched journals and the internet for relevant literature using the keywords “eating disorders”, “body image” and “weight stigma”. In the case study field, they added papers that considered “nutrition” to identify the link between dieting behaviour and nutrition. From these reviews, the authors ultimately selected 190 articles that appeared to meet their research objectives. The papers cover a range of studies published between 1995 and 2023.

Among adolescent girls and young women in their early 20s, there is a social media-driven culture of being extremely thin and petite. Weight stigma puts more pressure on them and makes strange behaviours like pro-ana syndrome a part of the culture. The authors have seen that modern BI standards leave young women vulnerable to eating disorders caused by excessive dieting.

Adolescence is a time of continuous growth, so balanced nutrition is essential. However, biased societal standards of beauty can push adolescent girls who are sensitive to external gaze into excessive dieting and make eating disorders a culture. This review provides a perspective on the behaviours that should be pursued for a healthy BI.

This study explores the characteristics of high-speed rail (HSR) and air transportation networks in China based on the weighted complex network approach. Previous related studies have largely implemented unweighted (binary) network analysis, or have constructed a weighted network, limited by unweighted centrality measures. This study applies weighted centrality measures (mean association [MA], triangle betweenness centrality [TBC], and weighted harmonic centrality [WHC]) to represent traffic dynamics in HSR and air transportation weighted networks, where nodes represent cities and links represent passenger traffic. The spatial distribution of centrality results is visualized by using ArcGIS 10.2. Moreover, we analyze the network robustness of HSR, air transportation, and multimodal networks by measuring weighted efficiency (WE) subjected to the highest weighted centrality node attacks. In the HSR network, centrality results show that cities with a higher MA are concentrated in the Yangtze River Delta and the Pearl River Delta; cities with a higher TBC are mostly provincial capitals or regional centers; and cities with a higher WHC are grouped in eastern and central regions. Furthermore, spatial differentiation of centrality results is found between HSR and air transportation networks. There is a little bit of difference in eastern cities; cities in the central region have complementary roles in HSR and air transportation networks, but air transport is still dominant in western cities. The robustness analysis results show that the multimodal network, which includes both airports and high-speed rail stations, has the best connectivity and shows robustness.

In the purchase intention of green products context, researchers have mainly investigated the role of symbolism but have mostly discussed symbolic attributes/meanings in terms of social status only. This research aims to investigate the impact of four perceived symbolic meanings of green clothing (status, environmentalism, innovation and fashion symbols) on consumers' purchase intention of green clothing through their attitude toward it. Besides, the moderating role of a consumer mindset in the indirect relationship between symbolic attributes and the purchase intention of green products through consumer attitude is examined.

The data were collected through a survey from a sample of 325 respondents in Turkey, especially younger ones. The data were analyzed via confirmatory factor analysis and hypothesized relationships were tested with multiple and simple regression analyses and PROCESS macros in SPSS.

All symbolic meanings of green clothing impact purchase intention positively and indirectly through consumers' attitudes toward it. The results of moderated mediation analyses showed that the impact of symbolic meanings, except for environmentalism symbol, on purchase intention through consumer attitude was significantly moderated by the consumer mindset.

This research contributes to the under-researched areas of the impact of various symbolic attributes/meanings of green clothing on consumers' purchase intention. Besides, this study advances the role of consumer mindset in consumer behavior research in such a way that it connects mindsets of personality, consumers' attitudes toward green products and their green purchase intention. Furthermore, this study addresses the gap in regard to the role of mindsets of personality on sustainable/environmental behaviors. It will provide implications for fashion marketing managers to develop appropriate targeting, positioning and communication strategies for consumers' mindsets.

The purpose of this study is to examine the effect of customers’ socio-demographic characteristics on the formation of behavioral intention toward green hotels in Malaysia.

The current study used partial least square-structural equation modeling to analyze a sample of 400 green hotel customers in Malaysia. Further, multi-group analysis (MGA) is conducted to examine whether a significant difference exists across demographic groups.

Attitude and perceived behavioral control exert positive effects on desire, which in turn considerably influences behavioral intention. Results of MGA indicate that attributions have varying effects on the desire and behavioral intention with different socio-demographic characteristics. In particular, negative anticipated emotion negatively predicts desire among the customers of the older group, whereas positive anticipated emotion and subjective norm positively influence desire among the customers of the low educational level group.

The study examines green hotel customers’ behavior in Malaysia, and further research is needed to determine whether the impact of the proposed determinants across different industries. As the concept of corporate social responsibility (CSR) has started to influence customers’ behavior, the findings may be changing over time. Thus, a further longitudinal study would be beneficial to monitor the performance hotel CSR activities.

Although there is an increasing interest in CSR activities among Malaysian customers, there is a lack of information regarding customers’ motivation in the green hotel context. Furthermore, limited studies examined the role of customers’ demographic characteristics in the CSR literature. There is a need to understand green hotel industry and customers’ responses toward CSR activities.

The purpose of this paper is to examine the structural relationships among lifestyle of health and sustainability (LOHAS), healthy food choices, trust, and emotional loyalty and the moderating role of age between seniors and non‐seniors in restaurants.

Partial least squares (PLS)‐graph software (version 3.0) was used to analyze the measurements and structural models. The authors employed a PLS regression analysis for both the formative and reflective constructs in the empirical test of the research model.

The study revealed that the senior market segment differs from the non‐senior market segment in the following ways: the magnitude of impact of LOHAS on healthy food choices is much stronger for senior diners than for non‐senior diners and the impact of LOHAS on trust and emotional loyalty is greater for seniors than non‐seniors.

The results of this study can guide the restaurant industry in its research on the implications of LOHAS for seniors.

Restaurant marketers should develop different strategies for the senior and non‐senior market segments, and they need to focus on target segments rather than attempting to appeal to the market as a whole.

This paper assists researchers and practitioners by shedding light on the differences among LOHAS, healthy food choices, trust, and emotional loyalty between senior and non‐senior diners.

The purpose of this paper is to exploit the multiple-Toeplitz matrices reconstruction method combined with quadratic spatial smoothing processing to improve the direction-of-arrival (DOA) estimation performance of coherent signals at low signal-to-noise ratio (SNRs).

An improved multiple-Toeplitz matrices reconstruction method is proposed via quadratic spatial smoothing processing. Our proposed method takes advantage of the available information contained in the auto-covariance matrices of individual Toeplitz matrices and the cross-covariance matrices of different Toeplitz matrices, which results in a higher noise suppression ability.

Theoretical analysis and simulation results show that, compared with the existing Toeplitz matrix processing methods, the proposed method improves the DOA estimation performance in cases with a low SNR. Especially for the cases with a low SNR and small snapshot number as well as with closely spaced sources, the proposed method can achieve much better performance on estimation accuracy and resolution probability.

The study investigates the possibility of reusing pre-existing designs for the DOA estimation of the coherent signals. The proposed technique enables achieve good estimation performance at low SNRs.

The paper includes implications for the DOA problem at low SNRs in communication systems.

The proposed method proved to be useful for the DOA estimation at low SNR.

Scholars and professionals are interested in studying customer value in fast-food restaurants. Previous research on the customer value of fast-food restaurants mainly measured the dimensions and relationships of the customer value. However, the research has not examined a method for identifying sources of customer value in fast-food restaurants. Therefore, this study used customer orientation to find customer needs and generate customer value in fast-food restaurants.

This study presents a conceptual framework with six constructs. A questionnaire was used to gather empirical data from fast-food restaurant customers in Greater Cairo, Egypt. The suggested framework was evaluated using confirmatory factor analysis, reliability and validity analysis, standardized path coefficients and regression-based moderation analysis.

This study found that proactive customer orientation has a substantial direct and positive impact on customer perceived value. Customer perceived value is also positively influenced by responsive and proactive customer orientations, with customer desired value change intensity acting as a moderator. Customer perceived value substantially impacts customer satisfaction, and the latter substantially affects behavioural intention.

This study offers several suggestions for managers of fast-food restaurants on how to employ customer orientation to find current, latent and future customer desires to provide customer value.

This is the first research in the hospitality industry to demonstrate how responsive and proactive customer orientation may be used to recognize customer needs and provide the desired customer value.

The aim of this study is to analyze the antecedents of word-of-mouth (WOM) in a social networking sites (SNS) context, based on social identification theory and uses and gratification theory. This general objective can be divided into two sub-objectives. First, to measure the relationship between social identity, altruism and perceived encouragement as antecedents of WOM in SNS. Second, to study the existence of SNS-user segments which have differentiated behaviors according to the proposed model.

Partial least squares (PLS) has been used to analyze both validity and reliability of the measurement scales and the estimation of the structural model. Next, the heterogeneity of SNS-users has been analyzed using the finite mixture segmentation FIMIX-PLS. Furthermore, a multi-group analysis (MGA-PLS) has been used to analyze the differences between the behaviors of the resulting segments.

The main conclusion of this study is that social identity and perceived encouragement are worthy predictors of WOM. Additionally, there is a strong relationship between social identity and perceived encouragement. Another significant consequence is the existence of a large quantity of unobserved heterogeneity. Unsociable users, habitual users and obligated users show different behaviors regarding the relationships between the variables of the proposed model.

The results indicate that in general WOM communications transmitted by SNS-users are not motivated by altruism or by their willingness to help others. In addition, social identity and perceived encouragement are good predictors of WOM. Another originality of this research is that considering only one general model hides a large amount of unobserved heterogeneity: different segments of users showed diverse behaviors regarding the model’s variables.

Throughout this study, the authors sought to identify the antecedents and consequences of a multi-dimensional consumption-value construct. Data were collected from sports spectators in Japan (n=372) and the United States (n=396). The results indicate that three quality dimensions (functional, technical and aesthetic quality) have a significant impact on their respective value dimensions in the context of sporting events. Moreover, the constructs of entertainment and community prestige have positive effects on customers' behavioural intentions.