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Traditional grey models are integer order whitening differential models; these models are relatively effective for the prediction of regular raw data, but the prediction error of irregular series or shock series is large, and the prediction effect is not ideal.

The new model realizes the dynamic expansion and optimization of the grey Bernoulli model. Meanwhile, it also enhances the variability and self-adaptability of the model structure. And nonlinear parameters are computed by the particle swarm optimization (PSO) algorithm.

Establishing a prediction model based on the raw data from the last six years, it is verified that the prediction performance of the new model is far superior to other mainstream grey prediction models, especially for irregular sequences and oscillating sequences. Ultimately, forecasting models are constructed to calculate various energy consumption aspects in Chongqing. The findings of this study offer a valuable reference for the government in shaping energy consumption policies and optimizing the energy structure.

It is imperative to recognize its inherent limitations. Firstly, the fractional differential order of the model is restricted to 0 < a < 2, encompassing only a three-parameter model. Future investigations could delve into the development of a multi-parameter model applicable when a = 2. Secondly, this paper exclusively focuses on the model itself, neglecting the consideration of raw data preprocessing, such as smoothing operators, buffer operators and background values. Incorporating these factors could significantly enhance the model’s effectiveness, particularly in the context of medium-term or long-term predictions.

This contribution plays a constructive role in expanding the model repertoire of the grey prediction model. The utilization of the developed model for predicting total energy consumption, coal consumption, natural gas consumption, oil consumption and other energy sources from 2021 to 2022 validates the efficacy and feasibility of the innovative model.

These findings, in turn, provide valuable guidance and decision-making support for both the Chinese Government and the Chongqing Government in optimizing energy structure and formulating effective energy policies.

This research holds significant importance in enriching the theoretical framework of the grey prediction model.

The highlights of the paper are as follows:

1. A novel grey Bernoulli prediction model is proposed to improve the model’s structure.

2. Fractional derivative, fractional accumulating generation operator and Bernoulli equation are added to the new model.

3. The proposed model can achieve full compatibility with the traditional mainstream grey prediction models.

4. Energy consumption in Chongqing verifies that the performance of the new model is much better than that of the traditional grey models.

5. The research provides a reference basis for the government to formulate energy consumption policies and optimize energy structure.

A novel grey Bernoulli prediction model is proposed to improve the model’s structure.

Fractional derivative, fractional accumulating generation operator and Bernoulli equation are added to the new model.

The proposed model can achieve full compatibility with the traditional mainstream grey prediction models.

Energy consumption in Chongqing verifies that the performance of the new model is much better than that of the traditional grey models.

The research provides a reference basis for the government to formulate energy consumption policies and optimize energy structure.

Understanding behavior toward sustainable consumption remains among the most challenging contemporary topics and requires continual investigation. The aim of this paper is to explore young Bahraini women’s level of awareness of sustainable consumption while also considering their attitudes, motivations and behavior as key elements in the study.

A qualitative approach was used to collect the data. More specifically, 46 semi-structured interviews with young Bahraini women took place and the results were produced using thematic analysis.

Results reveal that consumers’ awareness levels toward sustainable consumption have been growing but awareness remains variable among consumers. In turn, motivation toward supporting sustainability is more associated with environmental reasons than cultural or economic ones. The attitude toward sustainable consumption is generally positive among young consumers. Moreover, sustainable consumption has been found to be present through various means in the purchase decisions of young Bahraini women.

This study exclusively explores the awareness levels of young Bahraini women regarding sustainable consumption with a focus on the elements of the behavioral process, namely, “awareness, attitude, motivation, and behavior”, as central research pillars.

This study explores how the effects of youth-oriented values influence the behavioural attitudes towards online conspicuous activities during travel, leading to their further conspicuous consumption travel behaviour.

This study applied a mixed-methods approach. Semi-structured interviews were conducted with 20 young tourists to extract the youth-oriented value measurement scale. A systematic survey was conducted in a renovated heritage site in China. PLS-SEM analysis was performed on 322 responses to test the proposed hypotheses.

The results of semi-structured interviews supplement seven new items and form a measurement scale of youth-oriented values with 16 items in three dimensions (self-identification, peer-identification and eagerness to change). The results of PLS-SEM analysis reveal that all three youth-oriented values significantly influence attitudes towards information searching and content generation, and these two behavioural attitudes are positively related to continuous conspicuous consumption travel. The openness trait moderates the relationship between self-identification and content generation.

The study contributes to youth tourism research in conspicuous consumption travel behaviour. It provides insights to tourism operators to formulate strategies to develop the young tourist market in a cultural heritage tourism context.

Drawing upon extended-self theory, this research aims to understand how different access modes of consumption and product type influence consumers' perceptions of self-product connection and sense of individual and collective ownership.

Two experiments assessed the impact of access modes (temporary vs permanent) and product types (tangible vs intangible) on individual and collective psychological ownership (IPO and CPO) as well as the mediating role of self-product connection in these relationships.

Temporary access reduces IPO compared to permanent access. Moreover, self-product connection mediates the relationship between access modes and both IPO and CPO. Product type significantly moderates the degree of psychological ownership, with intangible products having a notable influence on the impacts of access modes on IPO and CPO.

Understanding the nuances of access-based consumption and its effects on psychological ownership can inform marketers and businesses in designing more effective strategies for product offerings and access modes. Highlighting self-product connection can aid in cultivating stronger consumer relationships and loyalty in access-based consumption contexts.

This study contributes to the existing literature on consumer access-based consumption by shedding light on the changing dynamics of material possessions and the psychological mechanisms underlying ownership perceptions in access-based models.

This study aims to apply the theory of consumption value to analyze the utilization of Metaverse technologies within hospitality and tourism while examining the factors that impact consumer intentions to use the Metaverse.

This paper aims to consider an extensive study spanning the period October 2021 to March 2023 was conducted to understand the shifts in an individual's intention to use Metaverse technologies in hospitality.

The findings of this study confirm that individual attitudes to the Metaverse and trust in Metaverse technologies significantly impact their intention to use the Metaverse.

The study aims to provide fresh insights into how individuals perceive Metaverse technologies in the context of choosing hotels and resorts, which enriches the understanding of consumer behaviors around Metaverse technology in hospitality.

This study aims to consider not only tourist intentions to use the Metaverse but also how diverse consumption values impact user attitudes, an area currently underresearched.

This study aims to examine millennial consumers’ intentions towards purchasing eco-friendly products in the emerging Arab nation of Oman, focusing on the moderating role of eco-labelling (EL).

Environmental knowledge (EK) and environmental concern (EC) are integrated into the theory of planned behaviour (TPB) framework as independent variables, along with EL as a moderating variable. The data was collected through a self-administered survey and consisted of 705 random responses that was tabulated and analysed through the structural equation modelling technique.

ECs, subjective norms (SNs) and perceived behavioural control (PBC) significantly influence consumer attitudes towards green eco-friendly products. Consumers’ EK and attitudes positively influence the purchase intention (PI) to make green purchases. SNs and PBC substantially influence consumer attitudes towards adopting green products. However, the findings reveal a non-significant moderating influence of EL on the relationship between EC and PI for millennial Omani consumers.

The findings are limited to only one Arab country, Oman, which limits the scope of the study. This study contributes to the TPB by using additional dimensions to examine the green purchasing behaviour of millennials.

Marketers can use these insights to develop strategies that emphasise the environmental benefits of products, leverage social influences and empower consumers to make environmentally conscious choices. Incorporating EL and green packaging can enhance the visibility and attractiveness of green products.

Promoting environmental education, awareness campaigns and policy interventions that highlight the importance of eco-friendly product choices can foster more sustainable consumption patterns among Arab consumers.

To the best of the authors’ knowledge, this is the first study to examine the green PIs of millennials in an Arab context, specifically focusing on the moderating role of EL.

The adoption of energy-efficient systems is crucial for Pakistan to meet its growing energy demand and address its energy challenges. However, adoption of these systems in Pakistan is hindered by several barriers, including economic constraints, lack of awareness and social attitudes toward sustainable development. Therefore, the purpose of this study is to explore adoption of energy-efficient household systems and the associated social influence.

The study incorporates social influence as a mediating factor to examine the relationships between awareness of consequences, perceived consumer effectiveness and attitudes toward the adoption of energy-efficient systems. A quantitative survey method was used to collect data from households from Faisalabad, Pakistan. A total of 203 valid questionnaires were received and data analyzed through SmartPLS 4 for structural equation modeling.

The results revealed that awareness of consequences positively impacts compliance, social identification and internalization, while perceived consumer effectiveness has a positive relationship with social identification and internalization. Moreover, the positive association of social identification and internalization with attitude were supported but relationship of compliance with attitude was unsupported.

The results may also be used to develop compelling marketing campaigns focusing environmental conservation and social influence for positive attitude development.

The study contributes to theoretical literature by examining the empirical relationships between specific individual characteristics and societal pressure that play a critical role in shaping attitudes toward the acceptance of energy-efficient systems. Additionally, the study's findings offer actionable implications for policymakers and marketers, contributing to the development of targeted interventions for promoting sustainable consumption.

The purpose of this study is to investigate the influence of credibility and information quality (IQ) of online food vloggers on consumer attitude and purchase intention towards street food consumption. It also examines the relationship between consumer attitude and purchase intention influenced by online food vlogger reviews in North India.

In order to evaluate the framework, primary data were gathered from 389 street food consumers located in Jammu, Chandigarh and Delhi – cities situated in northern India. The collected data were then subjected to analysis using the partial least squares-structural equation modeling (PLS-SEM) techniques.

The results indicate that the perceived value of street food, influenced by the credibility of food vloggers and the quality of information provided, has a positive impact on consumer attitude and purchase intention towards street food consumption. A positive impact of consumer attitude on the purchase and consumption of street food was also observed.

This research offers a thorough investigation into the elements that influence consumers' opinions regarding vloggers endorsements. The findings reveal that consumer's attitudes towards vloggers recommendations are mainly influenced by the quality of information provided, followed by credibility and the intention to make a purchase. Furthermore, this research is of significance to practitioners and academics interested in comprehending consumer behavior in the realms of tourism and food-related endeavors.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0158

This study explores young consumers' motivations for purchasing Virtual Luxury Non-Fungible Token Wearables (VL-NFTs) from luxury brands, which are virtually crafted luxury wearables minted as blockchain-based NFTs. Specifically, it investigates the relationships among consumers' perceived value of VL-NFTs, engagement with NFTs and purchase intention and the mediating effect of consumer engagement with NFTs.

Data were collected via an online survey of 504 young US consumers who had previously considered purchasing luxury fashion products and NFTs. Structural equation modelling was adopted for analysis.

Perceived economic, functional (uniqueness) and experiential (self-directed pleasure and affiliation) values of VL-NFTs directly influenced consumers' purchase intention. While symbolic value (self-presentation and conspicuousness) did not significantly influence purchase intention, it facilitated consumer engagement with NFTs. Moreover, consumer engagement mediated the relationship between economic and functional values and purchase intention.

The sample was only comprised of young consumers, limiting the generalizability. Additionally, consumers may perceive VL-NFTs differently because of differences in past experiences and the varying VL-NFT types, necessitating further investigation on consumers' motivations across different types of VL-NFTs.

This study contributes to the existing literature by examining the importance of multifaceted perceived-value dimensions and engagement with NFTs in consumers' motivation for purchasing VL-NFTs through the lens of the customer value framework.

The aim of this paper was to delve into the underlying mechanism of the relationship between environmental knowledge and green purchase intentions, using an extended model based on the knowledge-attitude-behaviour (KAB) theory.

The parallel and serial mediation effects of environmental concern, green perceived value and green attitude were examined using PROCESS macro (Models 4 and 6). Data were collected from 395 youth in three different cities in India using a purposive sampling method.

The study’s findings revealed that environmental concern, green perceived value and green attitude act as parallel and sequential mediators between environmental knowledge and green purchase intentions. However, the direct impact of environmental knowledge on green purchase intentions was deemed insignificant. In essence, environmental knowledge, along with environmental concern and green perceived value, significantly contributes to the formation of attitudes conducive to green purchase intentions.

The present study theoretically contributes to green behaviour research by proposing and testing an extended model of KAB theory with parallel and serial mediations in the Indian context. The model explores the underlying mechanism of the relationship between environmental knowledge and green purchase intentions in detail.