Fast Consumption Research Articles

Research on the Factors and Guidance Paths of Green Consumption among College Students in the Context of the "home-based Economy"

The rapid popularity of the Internet has provided a powerful foundation for the development of "stay-at-home culture" and has given rise to the flourishing " home-based Economy." While enjoying the convenience of network innovation and technological change, the fast and convenient consumption methods of the " home-based Economy" have also brought about problems such as irrational consumption, resource waste, and environmental pollution. At the Fifth Plenary Session of the 18th Central Committee of the Communist Party of China, General Secretary Xi Jinping proposed "Five Development Concepts," in which green development is an important trend and plays an important role in promoting low-carbon economic development and laying a solid foundation for sustainable social development. College students in the "Z era" are not only important participants in the " home-based Economy," but also an important group for cultivating civilized, healthy, and environmentally friendly concepts. This project analyzes the green development path of the " home-based Economy," investigates the consumption concepts and behaviors of contemporary college students, and studies how to guide the construction of college students' green consumption concepts.

Factors Associated With Urolithiasis: A Hospital-Based Case-Control Study.

Urolithiasis is a common preventable ailment. Previous studies showed that there are a lot of factors, such as dietary, health and environmental factors, which are likely to develop this condition. Only a few research have been conducted on urolithiasis in the UAE. Therefore, our study aimed to identify the factors associated with urolithiasis in the country, identify the symptoms of urolithiasis among the cases and identify the most common diagnostic methods. It was a case-control study design. The study population was adults above 18 years attending a tertiary care centre. Those who have confirmed diagnosis of urolithiasis and gave informed consent were considered cases and those who have not confirmed diagnosis of urolithiasis as controls. Patients with renal, bladder or urinary tract impairment or anomaly were excluded from the study. Ethical approval was obtained for the study. Crude odds ratio (OR) showed that age, gender, past treatment for urinary stones, and lifestyle factors such as diet and smoking are risk factors while exercising is a protective factor. Age-adjusted OR found that past treatment for the urinary disease (OR=10.4), consumption of oily food (OR=11.5), consumption of fast food (OR=11.0)and consumption of energy drinks (OR=5.9) were the significant risk factors for urolithiasis. We found that past urinary disease treatment and diet are vital in developing urinary stones. Higher consumption of salty, oily, sugary and protein foods increases the odds of urinary diseases. Public awareness programs are essential to educating people about urolithiasis risk factors and preventive measures.

Comparation of mesophilic and thermophilic anaerobic co-digestion of food waste and waste activated sludge driven by biochar derived from kitchen waste

Anaerobic co-digestion of food waste and wasted sludge is a promising practice to integrate waste management and improve energy balance. In this study, the effects of kitchen waste biochar on the mesophilic and the thermophilic co-digestion were compared. Biochar showed a better performance in thermophilic treatments, and the highest methane production was obtained at 15 g L−1 biochar, while the time for complete digestion was shortened from 20 days in the controls without biochar to 13 days in the 15 g L−1 biochar-assisted treatments. Compared to the mesophilic treatments, thermophilic treatments demonstrated fast pH drop and volatile fatty acids accumulation. Based on the Gompertz model, 15 g L−1 biochar increased the maximum specific methane production rate by 2-fold and reduced the lag time by 31.6%, which was attributed to fast volatile fatty acids consumption and recovery from pH drop. pH, temperature and volatile fatty acids were significant factors shaping the distinct microbial dynamics. Methanosaeta dominated in archaeal community in mesophilic treatments, while Methanosarcina and Methanothermobacter were favored in thermophilic treatments. The higher acetogenesis rate integrated with enriched acetoclastic methanogenesis led to its better performance in biochar-assisted thermophilic co-digestion.

Study on the Influence Mechanism of Webcasting on Students' Consumption Behavior-Taking Tiktok Live Broadcast as an Example

Affected by the sudden epidemic in COVID-19 in 2020, various epidemic prevention and control measures greatly restricted residents' consumption activities, and also promoted the development speed of e-business webcasting. With the continuous upgrading of online shopping consumption, various new online shopping methods emerge in an endless stream, and the live broadcast mode of "broadcast+e-business" also rises rapidly. There are more and more groups who watch online live shopping, and university students have become more active among them. The consumption impact of online live broadcast with goods on university students is easy to make university students form bad consumption behaviors such as desire consumption, fast consumption and ahead of time consumption. With the growth of the live broadcast e-business industry, many problems such as exaggerated publicity and uneven quality of anchors have also emerged. Taking Tiktok live broadcast as an example, this paper analyzes the influence mechanism of webcasting on students' consumption behavior, in order to help university students reflect on their own consumption views, and let them establish a correct consumption view by cultivating subjective consciousness, managing bad content and strengthening value guidance.

Analysis of Organization and Management Issues and Development Proposals of CHOW TAI FOOK

The topic of this article is based on the domestic jewelry market, taking brand marketing in the fast fashion consumption era as the starting point and choosing the top domestic jewellery enterprise---- CHOW TAI FOOK (CTF) as the research objective. Through the analysis of the internal and external environment of CHOW TAI FOOK (macro environment, competitive environment, market environment, the enterprise’s own resources and capacities), this article uses marketing models (SWOT analysis) to evaluate the strengths, weaknesses, opportunities and threats and analyze this firm. At the end, this paper proposes some optimization plans in terms of advertising, product quality and product design according to its weaknesses so as to enhance the media exposure and keep building the best jewelry enterprise in China.

Research on Hierarchical Clustering LEACH Protocol Optimization Algorithm Based on Chebyshev Distance

For the problems of premature death of cluster head nodes, short network life cycle and fast energy consumption in hierarchical clustering LEACH protocol in wireless sensor networks, an improved routing protocol K-means LEACH distance optimization algorithm based on LEACH is proposed in this paper. The improved routing algorithm takes into account the problems such as random selection of cluster heads and tedious calculation of distance formula in LEACH algorithm, so K-means clustering algorithm is introduced. The specific scheme is to first divide the data into K classes, then select the appropriate cluster heads, and introduce the Chebyshev distance formula on the basis of K-means clustering algorithm. From the comparative analysis of the simulation results, the K-means LEACH distance optimization algorithm compared to the original LEACH algorithm wireless network node life cycle by 64%, node energy consumption by 26%, which is conducive to improving the stability of WSN, reducing node energy consumption and extending the network survival time.

Prospect of Hydroxyl Radical Exposure during Seawater Bathing to Treat Amoebic Gill Disease in Atlantic Salmon

This study aims to undertake hydroxyl (.OH) radical-based preliminary investigations with a view to utilising seawater as a viable alternative to freshwater for the treatment of amoebic gill disease (AGD) in aquaculture industries. The study presents in vitro viability studies of clonal amoebae species to examine the effects of .OH radicals on both parasites and hosts. The study also assesses the toxicity to Chinook salmon cell lines (CHSE-214) in freshwater and 35 ppt seawater via continuous dosing of 35 mM .OH radicals and hydrogen peroxide (H2O2) for 1.5 to 4 hr, separately at 18°C and 15°C. Comparatively high viability of CHSE-214 (60% in .OH and 50% in H2O2) for a prolonged treatment of up to 4 hr in seawater at 15°C indicates suitability of low seawater temperature while using either .OH or H2O2 during bathing. The viability of CHSE-214 remained relatively stable in seawater (55%–60% in .OH and 50%–60% in H2O2), at both temperatures of 18°C and 15°C. However, at 15°C, a drastic reduction of viability of CHSE-214 in freshwater (from 80% to 48% in .OH and from 70% to 58% in H2O2) has indicated high variations in toxicity levels in freshwater at low temperature. Using DNA staining agents in flow cytometry, the in vitro viability study results in >22.5% mortality of clonal Neoparamoeba perurans (NP), an AGD causative agent, in 35 ppt seawater containing 35 mM .OH radicals via one-off dosing for 1 hour at 15°C. In addition, fast radical consumption is more pronounced in the case of .OH radicals as compared to H2O2 in both freshwater and seawater due to extreme reactivity of the former. Hence, this study suggests that .OH radicals are detrimental to the viability of NP in seawater, and thereby, establishes grounds for further in vivo investigations of using seawater supplemented with continuous dosing of .OH radicals for Atlantic salmon bathing as a treatment of AGD.

Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models

Neuromorphic photonic accelerators for Deep Learning (DL) have increasingly gained attention over the recent years due to their ability for ultra fast matrix-based calculations and low power consumption providing a great potential for DL implementations to deal with a wide range of different applications. At the same time, physical properties of the optical components hinder their application since they introduce a number of limitations, such as easily saturated activation functions as well as the existence of various noise sources. As a result, photonic DL models are especially challenging to be trained and deployed, compared with regular DL models, since traditionally used methods do not take into account the aforementioned constraints. To overcome these limitations and motivated by the fact that the information lost in one layer cannot be easily recovered when gradient-descent based algorithms are employed, we propose a novel training method for photonic neuromorphic architectures that is capable of taking into account a wide range of limitations of the actual hardware, including noise sources and easily saturated activation mechanisms. Compared to existing works, the proposed method takes a more holistic view of the training process, focusing both on the initialization process, as well as on the actual weight updates. The effectiveness of the proposed method is demonstrated on a variety of different problems and photonic neural network (PNN) architectures, including a noisy photonic recurrent neural network evaluated on high-frequency time series forecasting and a deep photonic feed-forward setup consisting of a transmitter, noisy channel, and receiver, which is used as an intensity modulation/direct detection system (IM/DD).

Subsurface oxygen minima regulated by remineralization and bottom flushing along 123°E in the inner East China Sea

The summer hypoxia off the Changjiang Estuary is one of the largest coastal hypoxic systems in the world and has displayed spatial heterogeneity in recent years. Based on observation data in the summer of 2014, hypoxia was identified both in the bottom and mid-layers. Except for the typical bottom hypoxia in the submarine canyon, the subsurface oxygen minima (SOM) were captured in the mid-layer of 10~15 m, with lower dissolved oxygen in the mid-layer than at the bottom (30–50 m). This SOM phenomenon was located in the lower boundary of the pycnocline and above the Taiwan warm current (TWC) and Kuroshio subsurface water (KSSW). Due to the southern expansion of Changjiang diluted water (CDW), a high phytoplankton biomass (the maximum chlorophyll a of 25 μg L−1, pH of 8.6, and DO of 11 mg L−1) band occupied the surface area along 123°E. By analyzing the 24-h continuous observation and high-resolution profile data, we revealed that the subsurface oxygen minima were predominantly controlled by remineralization and bottom-flushing effects. Fast local consumption occurred near the pycnocline layer, while the lateral transport of oxygen-rich ambient water replenished the bottom oxygen deficit from south to north. We summarize and contextualize three hot spots of hypoxia into a conceptual diagram and emphasize the influences of advection, mixing, and respiration on their location and severity. Overall, compared with the discussion about the low DO background of TWC/KSSW, this research highlights the flushing effects of TWC/KSSW that will reshape the hypoxia structure and alleviate the hypoxia severity in the south hypoxia area off the Changjiang Estuary.

“How Generation Differs”: An Empirical Analysis on Chinese Fast Fashion Consumption

Previous studies implied the different behavioral intention formation of a specific object for individuals in different age groups, but few research to Chinese consumers’ sustainable fast fashion behaviour were found considering the enormous amount of consumption and waste of fast fashion products in China. Meanwhile, as a fast developing country, it might be insufficient to conduct research ignoring the consequences of different education level and growing environment among different generations.Data were collected by a professional Chinese company (Wenjuanxing), using a structured questionnaire with closed-ended questions in line measurements in previous literature. In total, 275 respondents participated in the survey. It was then decided to adopt factor analysis, structural equation modelling and hierarchical regression analysis in order to fulfil the purpose of this research.Different outcomes signified the constructs in theory of reasoned actions may have limited prediction power to Chinese culture and consumers, and differs in different age groups. More importantly, age is significantly and positively moderating the path subjective norms to intention in younger generation (18-25), but significantly and positively moderating attitude to intention in consumers aged 26-39.This study suggest that retailers can develop effective marketing program, in order to encourage sustainable consumption among Chinese consumers. In addition, strategies can be designed accordingly with the characteristics of different age group of consumers to achieve maximum effectiveness.This study provides valuable insight into consumer behaviour regarding sustainable consumption among different ages, and how to effectively interpret the differences through a social and psychological perspective. The attempt can also be replicated in other collective companies for marketing sustainable fast-fashion consumption. Keywords: Consumer behaviour, Sustainable consumption, Chinese consumers, Fast-fashion, Theory of Reasoned Actions DOI: 10.7176/JMCR/88-03 Publication date: January 31 st 2023

Partial Multi-Modal Hashing via Neighbor-Aware Completion Learning

Multi-modal hashing technology can support large-scale multimedia retrieval well, because of its fast query speed and low storage consumption. Although many multi-modal hashing methods have been developed in the literature, they still suffer from three important problems: 1) Most multi-modal hashing methods assume that multi-modal data are complete. This ideal assumption limits their application to practical retrieval scenarios, where the modality-missing is common. 2) Existing partial multi-modal hashing methods directly model incomplete multi-modal data for hash learning, which may result in partial multi-modal semantics in the learned hash codes. 3) Most of the methods are based on the shallow learning framework, which inevitably suffers from limited representation capability. To solve the above problems, we propose a flexible deep partial multi-modal hash learning framework, named Neighbor-aware Completion Hashing (NCH). Our framework jointly performs the cross-modal completion learning for incomplete multi-modal data and the multi-modal hash learning. It can not only support model training with incomplete multi-modal data but also handle incomplete multi-modal queries. Besides, we design a neighbor-aware completion learning module to capture neighbor semantics and generate distribution-consistent completed features. Finally, we conduct extensive experiments to evaluate our method on both fully-paired and partial multi-modal retrieval scenarios. The experimental results verify the superiority of our proposed method over the state-of-the-art baselines. The experimental codes of our method are released at: <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/FutureTwT/NCH.</uri>

Scissor g-C3N4 for high-density loading of catalyst domains in mesoporous thin-layer conductive network for durable Li-S batteries

The application of Li-S batteries (LSBs) is hindered by the undesired shuttle effect that leads to the fast consumption of active materials. The separator modification by using the carbon matrix with embedded metal nitride as catalyst can ease the problem. However, the previous synthesis processes of metal nitride catalysts are difficult to achieve a balance between their high-density production, homogenous distribution and excellent electronic contact with conductive substrates. Herein, we propose a bond scissoring strategy based on g-C3N4 to prepare NbN catalyst domains with high-density loading uniformly embedded in mesoporous thin-layer conductive carbon network (NbN/C) for durable LSBs. The molten salt reaction process is favorable for the diffusion of Nb cations into a porous g-C3N4 precursor to break the C-N bond and immobilize the N element. The residual monolithic carbon framework with space confinement effect limits the irregular growth and stacking of NbN precipitates. The NbN catalytic domains exhibit a strong adsorption effect on lithium polysulfides (LiPSs) and accelerate their liquid-solid conversion reactions. The LSBs utilizing an NbN/C-modified separator show superior cycling and rate performance, with a high-capacity retention of 72.7% after 1,000 cycles under 2 C and a high areal capacity of ~7.08 mA h cm-2 under a high sulfur loading of 6.6 mg cm-2. This g-C3N4-assisted strategy opens a new gate for the design of an integrated catalysis-conduction network for high-performance LSBs.

Surface sensitization of g-C3N4/TiO2via Pd/Rb2O co-catalysts: accelerating water splitting reaction for green fuel production in the absence of organic sacrificial agents

Global warming and the energy crisis due to the fast consumption of fossil fuels obligate researchers to develop renewable, clean energy sources.

ANALYSIS ON AN AUTOMOBILE BASED HYBRID ELECTRIC VEHICLE SYSTEM BASED ON VARIOUS INTERNAL COMBUSTION ENGINE

Increased environmental impact from the fast consumption of fossil fuel has provided a significant drive for the creation of more fuel-efficient automobiles. Having matured from their embryonic stage, hybrid electric vehicles (HEVs) are showing signs of being a viable solution to the critical existential threat to Earth. Higher efficiency vehicles (HEVs) not only help drivers save money on gas by getting greater mileage and producing fewer harmful emissions, but they also cushion drivers and passengers from the financial blow of steadily increasing gas costs. The electrification of powertrains is a tried-and-true response to environmentalists' worries about dependence on nonrenewable fuels and greenhouse gas emissions. Hybrid electric vehicles, which bridge the gap between conventional internal combustion engine vehicles and pure electric vehicles, are gaining market share and garnering a lot of attention from researchers in both the private and public sectors. An integral part of hybrid powertrains, the internal combustion engine affects vehicle performance significantly. There has been a lot of work done in recent years on engine technologies tailored to hybrid electric vehicles. It is crucial to study the engine's dynamic features through testing that mimic the vehicle's road running mode. The electric eddy current machine of an automotive engine test stand mimics the loading conditions of being driven on the road. Recommendations from a technological perspective all the way up to a powertrain perspective are presented in response to challenges and issues related to system complexity, restricted operating conditions, controls, cost, safety, etc. To inspire further study in this area, several potential avenues for future research are given.

On the rumpling mechanism in nanocrystalline coatings: Improved by reactive magnetron sputtering with oxygen

• The O dopped nanocrystalline coating is prepared by reactive magnetron sputtering. • The doping of O significantly improves the oxidation resistance of the coating. • The surface rumpling behaviors on coatings is retarded by oxygen. Surface rumpling is detrimental to high temperature protective coatings as it shortens their lifetime and leads to adhesion losses and unexpected corrosion degradation. The driving force and mass transport mechanism behind of rumpling remains to be clarified. In the present investigation, we subjected two types of nanocrystalline coating systems to avoid the influence of interdiffusion on rumpling study. One group was an ordinary nanocrystalline coating, and the other group was designed and prepared with trace oxygen by reactive magnetron sputtering. Systematic cyclic oxidation test at 1100 °C was also carried out. Results show the ordinary nanocrystalline coating oxidized rapidly, which leads to the fast consumption of Al and the acceleration of phase transition in the coating. Meanwhile, severe surface rumpling is observed due to the stress release of nanocrystals through plastic deformation. Besides, the reactive doping of oxygen can significantly reduce the consumption process of Al in nanocrystalline coating. The rumpling is controlled due to the improvement of coefficient of thermal expansion and Young's modulus of the coating. Thereafter, the cyclic oxidation resistance is improved.

LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization

Federated recommender system (FRS), which enables many local devices to train a shared model jointly without transmitting local raw data, has become a prevalent recommendation paradigm with privacy-preserving advantages. However, previous work on FRS performs similarity search via inner product in continuous embedding space, which causes an efficiency bottleneck when the scale of items is extremely large. We argue that such a scheme in federated settings ignores the limited capacities in resource-constrained user devices ( i.e. , storage space, computational overhead, and communication bandwidth), and makes it harder to be deployed in large-scale recommender systems. Besides, it has been shown that transmitting local gradients in real-valued form between server and clients may leak users’ private information. To this end, we propose a lightweight federated recommendation framework with privacy-preserving matrix factorization, LightFR , that is able to generate high-quality binary codes by exploiting learning to hash technique under federated settings, and thus enjoys both fast online inference and economic memory consumption. Moreover, we devise an efficient federated discrete optimization algorithm to collaboratively train model parameters between the server and clients, which can effectively prevent real-valued gradient attacks from malicious parties. Through extensive experiments on four real-world datasets, we show that our LightFR model outperforms several state-of-the-art FRS methods in terms of recommendation accuracy, inference efficiency and data privacy.

Efficacy of same venous route Hickman catheter replacement in patients with intestinal failure

Periodical replacement of venous Hickman catheters is required for the nutritional care of patients with intestinal failure. The conventional de novo operation (DN-OP) involves inserting the catheter into a new venous tract in each replacement; however, this could result in fast consumption of functional central vessels in patients with intestinal failure. Recently, same-route operation (SR-OP) has been adopted as an alternative approach for retaining venous access. We conducted a retrospective study to compare the efficacy of Hickman catheters and the survival of venous vessels using two different operative strategies. Overall, 181 catheters were inserted, 109 using DN-OP and 72 using SR-OP. The mean catheter duration was 11.9±8.8 months in the DN-OP group and 10.5±5.6 months in the SR-OP group; the infection rate was 0.74 in the DN-OP group and 0.44 in the SR-OP group. The vein accesses used in these insertions (n=113) were classified: the DN-vein group for veins accessed only by DN-OP (n=75) and the SR-vein group for veins accessed by an initial DN-OP and subsequent SR-OPs (n=38). Mean working duration per vein access was 12.3±10.1 months in the DN-vein group and 28.2±14.8 months in the SR-vein group (p<0.001); mean infection-free duration was 11.4±10.1 months in the DN-vein group and 27.7±15.3 months in the SR-vein group (p<0.001). Application of SR-OP in Hickman catheter replacement significantly extended the working duration of venous access by re-using the same venous route without compromising catheter efficacy in patients with IF having poor venous access.

Impact of orange juice containing potentially prebiotic ingredients on human gut microbiota composition and its metabolites

Orange juice containing oligosaccharides and dextran was assessed, after in vitro digestion, in a fermentative system with fecal microbiota from two donors (A and B) in anaerobiosis (37 °C/48 h). Microbiota analysis was performed using 16S rRNA sequencing, and HPLC quantified the metabolites. Oligosaccharides and dextran were resistant to digestion and were consumed during colonic fermentation. Lactate and acetate were the main metabolites, followed by butyrate, propionate, and isobutyrate. High propionate accumulation and fast consumption of oligosaccharides were observed for donor B. Lactobacillus ruminis (44.96 %) presented an increased relative abundance for donor A. Bifidobacterium adolescentis (41.73 %) was remarkable for donor B after fermentation. In addition, the functional orange juice promoted the growth of emerging probiotics such as Bacteroides xylanisolvens and reduced some strains, such as Clostridia sp. Thus, the potentially prebiotic orange juice enhances gut microbiota composition and might be a suitable product for the functional food market.

Ekolojik Ayak İzi Tarih Yazıyor: Dünya Limit Aşım Günü

İnsanlık, özellikle sanayi devrimi ile birlikte son derece hızlı bir üretim ve tüketim çarkının içine hapsolmuştur. Thomas R. Malthus’u muhtemel kıyametin en azından tarihi konusunda haksız çıkaran teknolojik gelişme ve üretim artışları, artmakta olan dünya nüfusunu besleme kapasitesine sahipse de bugün talebe ilişkin artışlar ile insanlık fazladan bir gezegene daha ihtiyaç duymaktadır. Tabiidir ki böyle bir istek en azından şimdilik gerçekleşmiş durumda değildir. Arz ile talep arasındaki açık giderek büyümekte, kaynak erişimi problemlerini derinleştirmektedir.&#x0D; Sürdürülebilir kalkınma hedefi ile sürdürülebilirlik vurgusunu kalkınmaya/büyümeye yapan insanlık, bugün gezegenin doğal kaynakları üzerinde her çağdan daha fazla baskı oluşturmaktadır. İnsanlık tarafından oluşturulan doğal kaynak talebi; gıda ihtiyacı, hammadde temini ve karbondioksit gazının özümsenmesi gibi başlıklar çerçevesinde hesaplanmaktadır. Bu hesaplama ile Ekolojik Ayak İzi kavramına ulaşılmaktadır. Ekolojik Ayak İzi kavramı insanlığın gezegen üzerindeki baskısını ölçülebilir, sayısal bir değer olarak sunmakta ve tanımlamaktadır. Ekolojik bir ekonomi tanımlaması geliştirmek amacına hizmet etmektedir.&#x0D; Bu çalışma, tarihsel bir dönüm noktasında bulunan insanlık için Ekolojik Ayak İzi ve Dünya Limit Aşım Günü kavramlarına odaklanmaktadır. Güncel ve önemli kavramlar olarak Ekolojik Ayak İzi ve Dünya Limit Aşım Günü kavramlarının genel bir değerlendirmesini yapmaktadır. Sorunun ölçülebilir, sayısal değerlerle ifade edilmesinin küresel tehdidin anlaşılırlığını güçlendirdiği fikrinin altını çizerken gelecekte piyasa mekanizmasının üstleneceği role dikkat çekmektedir.

Consumer Reaction to Decelerated Tourism: Pace, Inherent Virtue, and Environmental Concern

Timeflow has been identified as an important dimension of the real-time tourism experience. Based conceptually on the consumer acceleration/deceleration approach and the theory of virtue ethics, this research and its four subsequent studies use Bayesian methods to implicitly and explicitly to investigate the following: how consumers perceive pace and value, the connection between decelerated and conventional tourism with inherent virtue or vice, the positive feelings that decelerated tourism produces, and environmental concerns’ moderating role regarding predicting future tourism consumption behavior. The findings reveal that consumption pace is the core of the consumer experience. Decelerated tourism is perceived as virtuous and activate positive feelings. Strong (vs. weak) environmental concerns are considered a travel constraint and an indication of reduced revisit behavior. This research highlights consumption pace’s theoretical contribution and relevance, and offers marketing scholars and practitioners a tool that is useful for understanding consumers’ reactions to decelerated and fast experiential consumption.