Journal of Building Engineering, Год журнала: 2023, Номер 79, С. 107847 - 107847
Опубликована: Сен. 27, 2023
Язык: Английский
Appetite, Год журнала: 2022, Номер 176, С. 106127 - 106127
Опубликована: Июнь 14, 2022
Язык: Английский
Процитировано
72
SSRN Electronic Journal, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
This research paper delves into the potential for transformation by incorporating cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR), and Virtual (VR) to foster sustainable development tourism. The contemporary tourism industry confronts unprecedented challenges, including environmental degradation, cultural disruption, socio-economic imbalances. investigation explores innovative application advanced a comprehensive solution tackle these challenges propel sector toward more future. emerges pivotal facilitator in enhancing operations decision-making processes. Leveraging predictive analytics, machine learning, natural language processing, AI contributes optimized resource allocation, personalized visitor experiences, formulation data-driven sustainability strategies. Blockchain technology, recognized its decentralized transparent nature, is utilized establish secure traceable supply chains, ensuring equitable economic distribution minimizing impact travel. (IoT) assumes central role creating intelligent interconnected ecosystems. IoT devices enable real-time monitoring conditions, empowering destination management organizations implement adaptive measures conservation. Furthermore, enhance safety satisfaction through context-aware services. (AR) offer immersive experiences that redefine how tourists interact with destinations. AR enriches historical context attractions, fostering deeper understanding appreciation local heritage. Meanwhile, VR enables virtual reducing need physical travel consequently mitigating carbon footprints. findings underscore technology-driven approach practices, long-term environmental, social, sustainability.
Язык: Английский
Процитировано
31
Computers in Human Behavior, Год журнала: 2023, Номер 148, С. 107890 - 107890
Опубликована: Июль 22, 2023
Язык: Английский
Процитировано
23
Journal of Current Issues & Research in Advertising, Год журнала: 2024, Номер 45(4), С. 476 - 505
Опубликована: Март 13, 2024
Green consumerism research suffers from a paucity of comprehensive, cross-cultural investigations and lacks insight into the interplay sustainability dimensions human values. This study examined sustainable consumption-specific tweets (N = 72,000) in United States, Switzerland, India. Findings indicate that consumers India (i.e., non-Western culture) emphasized environmental social as well biospheric altruistic values their tweets. The two Western cultures focused more on egoistic economic aspects sustainability. Indian Swiss consumer sentiments were largely positive, whereas American expressed negative sentiments. Results can offer important culturally informed contextually sensitive recommendations to marketers policymakers for communications.
Язык: Английский
Процитировано
11
E3S Web of Conferences, Год журнала: 2024, Номер 531, С. 05011 - 05011
Опубликована: Янв. 1, 2024
The issue of green consumption is traditionally viewed from the perspective harm to environment, while reasons for its occurrence are, among other things, socio-economic in nature. research described article aimed at identifying dependence consumer satisfaction with quality consumed goods on number offers these goods. study was conducted as part Monitoring state and development competitive markets Novosibirsk region, Russian Federation. results showed a close relationship between observed facts: greatest precisely those where consumers noted large organizations offered. growing trend over-consumption forces us look ways limit it. Since developing countries have culture prestige consumption, measures conscious restriction which work well developed countries, are not suitable this case.
Язык: Английский
Процитировано
9
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Год журнала: 2024, Номер 14(5)
Опубликована: Июль 4, 2024
Abstract The application of machine learning techniques in the field tourism is experiencing a remarkable growth, as they allow to propose efficient solutions problems present this sector, by means an intelligent analysis data their specific context. increase work requires exhaustive through quantitative approach research activity, contributing deeper understanding progress field. Thus, different approaches will be analyzed, such planning, forecasting, recommendation, prevention, and security, among others. As result analysis, other findings, greater impact supervised tourism, more specifically those based on neural networks, has been confirmed. results study would researchers not only have most up‐to‐date accurate overview but also identify appropriate apply domain interest, well similar with which compare own solutions. This article categorized under: Application Areas > Society Culture Technologies Machine Learning Business Industry
Язык: Английский
Процитировано
9
IEEE Access, Год журнала: 2022, Номер 11, С. 4066 - 4078
Опубликована: Дек. 28, 2022
Topic modeling is a Natural Language Processing technique that has gained popularity over the last ten years, with applications in multiple fields of knowledge. However, there insufficient empirical evidence to show how this field study developed as well main models have been applied different contexts. The objective paper analyze evolution topic technique, areas which it applied, and are recommended for specific types data. methodology based on bibliometric analysis. First, we searched Web Science Scopus databases. We then used scientometric techniques Tree methodology, allowed us search results from perspectives classics, structure, trends. USA China among most productive countries mainly identification sub-topics short texts, such social networks blogs. conclusion work versatile can complement systematic literature reviews well-received academic research will help researchers academics recognize importance these reviewing large volumes unstructured information, articles, general, reviews.
Язык: Английский
Процитировано
33
International Journal of Environmental Research and Public Health, Год журнала: 2023, Номер 20(4), С. 3330 - 3330
Опубликована: Фев. 14, 2023
The aim of the research is to examine relationships between following variables (a) Theory Planned Behavior (TPB), composed Attitudes (ATT), Subjective Norms (SN), and Perceived Behavioral Control (PBC); (b) Consciousness (EC) on dependent variable Environmentally Responsible Purchase Intention (ERPI) from perspective Latin American consumer in a pandemic. Currently, literature proposed explanatory model still scarce at theoretical practical level, without empirical evidence America. data collection 1624 voluntary responses consumers Chile (n = 400), Colombia 421), Mexico 401), Peru 402) collected through online surveys. Using structural equation modeling (SEM) multi-group test invariance analysis moderating effects, we can determine relationship model, generating countries. verified that Attitude (PBC), Environmental (CE) have positive significant effect (ERPI). results also show generation presents invariance. Therefore, groups are not different level for variable, becoming relevant difference path level. this study become contribution, indicating variable. This provides insights understanding consumers, managerial implications provided developing strategies promote sustainable consumption.
Язык: Английский
Процитировано
13
Land, Год журнала: 2022, Номер 11(8), С. 1215 - 1215
Опубликована: Авг. 2, 2022
The COVID-19 pandemic has rapidly disrupted the household behavior in all areas and also those related to eating daily food. Research carried out shows there have been significant changes compared pre-COVID levels way consumers plan their food purchases. Based on results of empirical data emerging information such as ad hoc reports analysis academic literature, authors aim understand effect agricultural extra-agricultural activities diversified Italian farms. More specifically, due importance at a national level, focus is represented by agritourism, how they reacted challenges posed pandemic, towards which evolutionary lines are orienting themselves face next future challenges. Empirical for this study were collected through use questionnaire survey, managed research team. conducted online during summer 2021, was designed using random stratified sampling farms characterized certain heterogeneity (i.e., hospitality, processing products, renewable energy production, etc.). activity covered entire territory number responding with agritourism equal 77 (a 17.5% response rate). highlight farm dealing crisis policy implications terms support competitiveness farms, exchange knowledge, innovations among farmers that should be taken into consideration target rural development EU, regional level. At same time, sample reaction methods changing business strategies resilience activities, thus showing ability adapt.
Язык: Английский
Процитировано
21
PLoS ONE, Год журнала: 2022, Номер 17(10), С. e0275541 - e0275541
Опубликована: Окт. 19, 2022
This study examined the fear of COVID-19 pandemic and its impact on consumer behavioural intention to purchase green products. The data was collected from consumers Malaysia in hypermarkets. A total 491 respondents were analyzed using partial least square technique. results indicated that epidemic has a significant health concerns, social media information, intolerance uncertainty, personal relevance, which turn affect consumers’ With serial mediating effect identified is associated with product. findings this are crucial for understanding swings product behaviour due ongoing uncertainty crisis.
Язык: Английский
Процитировано
19