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This review paper offers a comprehensive exploration of the symbiotic relationship between sustainable ground transportation and the dynamic realm of e-commerce. It delves into the critical intersection of environmental sustainability, technological innovation, and the evolving landscape of online commerce. This review synthesises cutting-edge technologies and strategies aimed at reducing energy requirements and environmental impacts in ground transportation. It explores advancements in lightweight materials, aerodynamics, and alternative fuels, emphasising their potential to mitigate the environmental footprint of vehicles. Additionally, the transition towards zero-emission vehicles, including battery-operated and fuel-cell vehicles, is analysed, taking into account both short-term and long-term outlooks. Simultaneously, the paper delves into the evolving landscape of e-commerce, which has become an integral part of modern consumer behaviour. It investigates the influence of e-commerce on ground transportation practices, emphasising the importance of efficient logistics, last-mile delivery, and sustainability in meeting the demands of the digital commerce era. By providing a holistic view of the challenges and opportunities at the nexus of sustainable ground transportation and e-commerce, this review paper offers valuable insights for researchers, policymakers, and industry stakeholders striving to shape a more sustainable and responsive future for ground transportation in the digital age. [ABSTRACT FROM AUTHOR]

Corporate Social Responsibility (CSR) is faced as an opportunity for Brand Equity and there are many companies which invest a considerable percentage of their budget on different CSR activities in order to enhance their image. A very popular CSR strategy is Cause-Related Marketing (CRM) according to which the profit-making companies form strategic partnerships with nonprofit organizations for mutual benefits. CRM can provide great opportunities to organizations in terms of corporate reputation, brand awareness, customer loyalty, and press coverage. This paper analyzes the findings of a research which was implemented in three faces. The first phase of the research took place between October- November 2004 and it was a survey among 740 Cypriot citizens in terms of brand recognition and brand positioning of organizations that have heavily invested on CRM activities. The second phase of the research took place on February 2005 and was based on the outcome of the first survey. It was composed of in-depth interviews of the marketing managers of the two most reputable companies in Cyprus in terms of CRM given the outcome of the first survey. The third phase of the research was composed of a survey among 40 employees of the two corporations. [ABSTRACT FROM AUTHOR]

The Net Promoter Score (NPS) is a widely used measure of customer loyalty. It was touted as "the one number you need to grow" due to a purported relationship between the NPS and firm growth. A number of academic papers have examined this macro relationship with decidedly mixed results. In this study, we focus on the micro relationship between a customer's loyalty segment (Promoter, Passive, or Detractor) and purchasing behavior. While other studies focus on the relationship between a customer's NPS segment and word of mouth (the other driver of firm growth), only a few have examined the impact of the NPS segment on consumer retention and future spending. Unlike prior studies using consumers, we have objective measures of retention, past spending, and future spending. We explore three important research questions: (1) Does past purchase behavior vary differ across the NPS segments? (2) Does future consumer behavior vary across the NPS segments? And (3) How do the NPS segments compare to other metrics in predicting future consumer behavior? Our data comes from post-visit surveys and transaction histories from the casino gaming industry. We find Promoters have significantly higher levels of past spending, retention, and future spending (controlling for past spending) than Detractors. However, using other metrics such as satisfaction or likelihood-to-revisit provides comparable fit to the data. Furthermore, the average difference in future spending between the Promoters and Defectors is small, despite its statistical significance. While this study provides empirical validation of the use of the NPS segments to capture differences in consumer behavior, managers have options with comparable explanatory power to measure the state of their relationships with customers. This study adds to the very limited empirical research that validates the assumptions about consumer behavior that underlie the use of the NPS for predicting firm growth. [ABSTRACT FROM AUTHOR]

Background: Cigarettes are marketed in a wide array of packaging and product configurations, and these may impact consumers' perceptions of product health effects and attractiveness. Filtered cigarettes are typically perceived as less hazardous and white tipping paper (as opposed to cork) often conveys 'lightness'.Methods: This study examined cigarette-related perceptions among 1220 young adult (age 18-35) current, ever, and never smokers recruited from three eastern U.S. cities (Buffalo NY, Columbia SC, Morgantown WV). Participants rated three cigarette sticks: two filtered cigarettes 85 mm in length, differing only in tipping paper color (cork versus white), and an unfiltered 70 mm cigarette.Results: Overall, the cork-tipped cigarette was most commonly selected on taste and attractiveness, the white-tipped on least dangerous, and the unfiltered on most dangerous. Current smokers were more likely to select white-tipped (OR = 1.98) and cork-tipped (OR = 3.42) cigarettes, while ever smokers more commonly selected the cork-tipped (OR = 1.96), as most willing to try over the other products. Those willing to try the filtered white-tipped cigarette were more likely to have rated that cigarette as best tasting (OR = 11.10), attracting attention (OR = 17.91), and lowest health risk (OR = 1.94). Similarly, those willing to try cork tipped or unfiltered cigarettes rated those as best testing, attracting attention, and lowest health risk, respectively.Conclusions: Findings from this study demonstrate that consumer product perceptions can be influenced by elements of cigarette design, such as the presence and color of the filter tip. [ABSTRACT FROM AUTHOR]

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Research Papers Presented in Special Issue Entitled "Strategic Planning and Management in... Several papers were considered, and finally, a total of six papers were selected for this Special Issue. Awareness of the importance of an appropriate strategic planning and management process in the energy industry is constantly growing. 10.3390/en15155455 2 Klemke-Pitek M., Majchrzak M. Pro-Ecological Activities and Shaping the Competitive Advantage of Small and Medium-Sized Enterprises in the Aspect of Sustainable Energy Management. [Extracted from the article]

Existing studies have examined unhealthy food packaging information, mainly focusing on aspects such as the content, color, and text, whilst paying less attention to the boundaries of information. This paper investigates unhealthy foods through three experiments, revealing that the presence (vs. absence) of packaging information boundaries on unhealthy foods has a negative impact on consumers' purchasing intentions (p = 0.040) (Experiment 1). The feeling of constraint mediates this effect (β = −0.078, CI: [−0.1911, −0.0111]) (Experiment 2). Additionally, consumers with an independent self-construal exhibit reduced purchasing intentions when unhealthy food packaging information boundaries are present (vs. absent) (p < 0.001), whereas those with an interdependent self-construal show increased purchasing intentions under the same conditions (p = 0.024) (Experiment 3). This paper reveals the psychological mechanism and boundary conditions of unhealthy food packaging information boundaries affecting consumers' purchasing intention and provides practical inspiration for government policy-making related to unhealthy food packaging. [ABSTRACT FROM AUTHOR]

This paper explores the role of environmental consequences, perceived barriers, policy interventions, public opinions, and knowledge and awareness in using electric vehicles (EVs). We collected 506 responses about their intention to use the EVs to develop our hypothesis. This study uses knowledge and awareness of the EVs as mediating variables towards adopting the EVs and consumers' residences as moderating variables. It also introduces several control variables in this proposed research model to measure the effect on the intention to use the EVs. In this research study, we test the importance‐performance map analysis and check Cohen's f2 to identify a better output. The measurement and structural equation modelling results show that the environmental consequences are a stronger predictor of intention and policy interventions. The findings suggest that government policies can also have an attractive position in the EV segment. In addition, knowledge and awareness mediate the adoption of the EVs. Perceived barriers do not influence consumers to use an EV in India. We test the moderating role of residence with our construct and find a partial moderation role with policy intervention and public opinion. We introduce three self‐created constructs, i.e., intention to use, knowledge, and public opinion. Public opinion for the EVs supports consumers' intention to use, and knowledge also plays a significant role in using EVs. These newly added constructs will be essential to manufacturers and policymakers while promoting EVs. Also, environmental consequences and policy interventions emerge as significant factors of user behaviour. The paper highlights the critical predictors of consumers' intention to use the EVs. Thus, it helps society, policymakers, and managers formulate and implement schemes to boost EV purchasing. [ABSTRACT FROM AUTHOR]

Agent-based modeling and simulation is a method well suited for studying individual behavior and interactions amongmembers of a population connected by social networks. Although the development of such simulation models can be relatively complex, it is even more challenging to develop models that are empirically valid. In the case of reverse logistics, the sophisticated and difficult-to-predict behavior of consumers must be modeled. In this paper, an agent-based simulation model of consumer behavior and interactions was configured to conduct a case study of the voluntary deposit collection program for wine bottles in the Val-Saint-François region of Quebec. As this collection program was officially launched in 2019, two empirical samples were obtained to test the validity of the model and study how social interactions such as word of mouth contributes to the success of the collection program. The first sample represents the amount of glass collected during the last 26 weeks of 2019, while the second sample covers the first 13 weeks of 2020. Having observed an increase in collection rates between 2019 and 2020, word of mouth was introduced into the model to explain this phenomenon. Statistical tests show that the model is indeed valid with the inclusion of diffusion of awareness, as the simulation results are significantly consistent with the empirical data. The validation of the model demonstrates the viability of using multiple heterogeneous data-sources to configure a simulation model based on the Theory of Planned Behavior without using Structural Equation Modeling. [ABSTRACT FROM AUTHOR]

Recycling waste electrical and electronic equipment (WEEE) has garnered considerable societal attention. To incentivize WEEE recycling within a closed-loop supply chain (CLSC), a deposit-refund system (DRS) has been implemented. This study delves into the implications of a market-driven DRS on WEEE recycling under different recycling models. A Stackelberg game analysis is employed, where an electronics manufacturer (leader) has sufficient channel power over an electronics retailer and a third-party recycler (followers). The results indicate that the market-driven DRS significantly incentivizes consumer recycling efforts, ultimately elevating the economic efficiency of the supply chain. When the electronics manufacturer assumes responsibility for WEEE recycling, it streamlines the recycling process, thereby enhancing operational efficiency and profitability. Conversely, when the electronics retailer handles WEEE recycling, it reduces retail prices and simplifies the recycling process, positively influencing consumer purchasing behavior. However, when a third-party recycler undertakes WEEE recycling, the recycling volume tends to be minimal, resulting in the lowest level of supply chain profits. This paper provides theoretical and practical implications for improving the recycling effectiveness and operational efficiency of the CLSC. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive analysis of optimal energy community design, leveraging time-of-use pricing mechanisms and techno-economic parameters. Focusing on a case study of Valongo, Portugal, this study explores the intricate interplay between energy infrastructure planning, economic considerations, and pricing dynamics. Through a systematic approach, various factors, such as renewable energy integration, demand–response strategies, and investment costs, are evaluated to formulate an efficient and sustainable energy community model. Time-of-use pricing schemes are incorporated to reflect the dynamic nature of energy markets and consumer behavior. By integrating techno-economic analyses, this study aims to optimize energy resource allocation while ensuring cost-effectiveness and environmental sustainability. The influence of optimized sizes of photovoltaics (PV), battery storage, and electrical vehicles (EVs) on self-sufficiency rates, self-consumption rates and CO2 savings is analyzed. The findings offer valuable insights into the design and implementation of energy communities in urban settings, highlighting the importance of adaptive strategies in the transition towards a resilient and low-carbon energy future. The novelty of this paper lies in its comprehensive approach to energy community design, which integrates time-of-use pricing mechanisms with techno-economic parameters. By focusing on the specific case of Valongo, Portugal, it addresses the unique challenges and opportunities present in urban settings. Additionally, the analysis considers the interaction between renewable energy production, demand profiles and investment costs, providing valuable insights for optimizing resource allocation and achieving both cost-effectiveness and environmental sustainability. [ABSTRACT FROM AUTHOR]

Increasing global concern about climate change and the circular economy have successfully established itselves in international and national policies over the last decade, with the aim of reshaping the production and consumer behavior. The circular economy is one of the core pillars of European Union policy and its success depends on the energy efficiency, reducing production costs, and maintaining employment levels by ensuring continuous strong economic independency of the region. While crises are unavoidable and continue to appear, this paper aims to project the impact of any crisis on sustainability transitions using data analysis of the Global Financial crisis from 2008 to 2009 and discuss how the success of the circular economy implementation and environmental policies could be affected. The paper notes that the global financial crisis of 2008–2009 had a short-term positive impact on environmental degradation and that economic interests overshadowed environmental goals. Due to the recent events of the ongoing Russia and Ukraine war, COVID-19 societal and industrial behavior has shifted from sustainable to linear and has taken a step backward in reducing environmental pollution and achieving Sustainable Development Goals. Analysis of already present data and the context of the 2008–2009 global financial crisis, reviewing of COVID-19 impact on the global economy, health sector, and environmental policies allows us to predict the consequences, as it relates to the future of circular economy policy. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of four demographic variables and four perceptual drivers identified through a review of the existing literature on adopting subscription-based e-commerce models. Seven hypotheses were tested on a convenience sample of 202 respondents from Croatia. Significant differences in subscription model acceptance were observed across age groups, while education level, employment status, and disposable income showed no significant relation to subscription model adoption in Croatia, although studies in other countries have indicated otherwise. This study also examined four factors (perceived trust, risk, usefulness, and ease of use) described with 21 critical success dimensions. The results showed positive relationships with perceived trust, usefulness, and ease of use and a negative relationship with perceived risk. Enhancing trust, usefulness, and ease of use while reducing perceived risks can boost subscription-based e-commerce adoption. Significant differences in perceived trust, risk, and usefulness were found between users of multiple products/services and non-users but not in perceived ease of use. These findings provide valuable insights for future scientific research on subscription-based models, given their growing popularity in e-commerce and the limited existing research. Additionally, this paper offers practical implications for businesses by enhancing their understanding of customers and the Croatian e-commerce market and by proposing innovative strategies and promotional approaches based on the research outcomes. [ABSTRACT FROM AUTHOR]

This paper focuses on the problem of so-called "lemon markets", first described by George Akerlof, where information asymmetry about product quality leads to dysfunctional outcomes such as poor average product quality and relatively low levels of trade, resulting in a loss of collective wellbeing. In the age of online commerce, the problem is especially relevant, given that consumers buy many more products without relying on personal experience than at any time in the past. Possible solutions to the problem suggested in the literature are reputation building on the part of producers and improving the information available to consumers, e.g., by way of publicly accessible consumer reviews (even though these can be gamed or faked by sellers). The paper presents the results from a classroom experiment that simulated a "lemon market". The advantage of using a classroom experiment is that while the market is recreated along a small number of rules and incentives, in line with neat economic models, the participants are real, living decisionmakers, displaying the deviations of actual human behaviour from that of a hypothetical "rational actor". In all, 294 students majoring in business information technology participated, making up 11 simulated markets. The results presented focus mainly on the supply side, namely, the quantities and prices of goods offered, and nine supply curves are estimated (for three quality grades of goods in three phases of the game). The research concludes that under perfect information, the market performs efficiently. In the condition where only sellers but not buyers have information about product quality, the volume of trade declines, although not as drastically as previous findings have suggested, and the market shows signs of recovery, albeit at a suboptimal equilibrium. After the option of consumer feedback is introduced, the market shows further convergence toward the socially optimal state. The results reaffirm that consumer feedback plays an important role in filling the information gap when product quality is uncertain; however, it is not sufficient in itself to overcome the "lemon market" problem. Other important influences on consumer behaviour under uncertainty are suggested, such as risk-taking, changing attitudes towards the act of (online) purchases, and cultural factors. [ABSTRACT FROM AUTHOR]

In a strong competitive environment, differentiation from other manufacturers is essential to ensure the flow of sales and the increase of turnover. Advertising can differentiate the offer of the economic organization from similar products obtained by competitors. The objective of the paper is to identify the effects of advertising on the purchasing behavior of dairy products, based on the data obtained from a questionnaire conducted on a sample of 206 respondents. The research question is: what are the effects of advertising on dairy buying behavior? In order to achieve this objective, the answers of the analysis carried out are analyzed. The results of the research show that advertising has a significant impact on dairy buying behavior. Effective advertising campaigns increase the notoriety and attractiveness of dairy products, contributing to consumer loyalty. In general, consumers are more likely to choose intensively promoted dairy products, demonstrating the importance of advertising in the marketing strategy of producers. [ABSTRACT FROM AUTHOR]

The advancement of new energy vehicles (NEVs) represents a strategic initiative to combatting climate change, mitigating the energy crisis, and fostering green growth. Using provincial panel data from China between 2017 and 2022, in this study, we applied machine learning techniques for sentiment analysis of textual reviews, used word frequency statistics to explore consumers' views on the attributes of new energy vehicles, and constructed a consumer sentiment index to study the impact of consumer sentiment on NEV sales. Considering the dependence of NEVs on a charging station, this paper explores the nonlinear impact of the popularity of charging stations on the relationship between consumer sentiment and sales of new energy vehicles. The findings indicate the potential for enhancement in the areas of space, interior design, and comfort of NEVs. Additionally, consumer sentiment was found to facilitate the diffusion of NEVs, with this effect being heterogeneous across different educational backgrounds, income levels, and ages. Furthermore, the availability of per capita public charging stations was shown to significantly reduce range anxiety and encourage consumer purchasing behavior. [ABSTRACT FROM AUTHOR]

Based on 908 consumer questionnaire data from 15 urban areas in Shanghai, we use the binary logit model to empirically analyze the impact of traceability label trust on consumers' traceable pork purchase behavior and the moderating effect of food safety identification. After constructing the theoretical analysis framework, this paper verifies it from the two aspects of statistical analysis and econometric analysis and tests the robustness of the final results. The results show that: first, traceability label trust has a significant positive impact on consumers' traceability pork behavior. Second, food safety identification can significantly strengthen and promote this process. Third, consumers' purchasing behavior is significantly positively affected by traceable pork consumption scenarios and price labels, but the permanent elderly in the composition of family members significantly negative impact on it. Therefore, we put forward relevant policy suggestions, such as strengthening the knowledge popularization and publicity based on the advantageous commodity attributes of traceable pork, carrying out food safety knowledge popularization education, and enhancing consumers' risk perception and food safety identification ability. [ABSTRACT FROM AUTHOR]

Introduction: There exists a noticeable gap between consumers' willingness to purchase green food and their actual purchase behavior. However, the awareness of green development is a crucial factor influencing this purchase behavior and acts as an internal driving force promoting green consumption. Consumers' green development awareness is shaped by various psychological motivations, including environmental concern, health consciousness, knowledge, norms, and price considerations. The existing literature often focuses on specific regions or groups, lacking comprehensive cross-regional and multivariate evaluations, and frequently overlooks the potential impact of moderating variables such as economic development level, product type, and behavior type. Methods: To clarify the overall effect of each motivational factor on green food purchase behavior, this study conducted a meta-analysis. We selected eight causal variables and three moderating variables that significantly influence consumers' green food purchase behavior. The analysis included 132 independent effect values from 45 research papers. Results: The meta-analysis revealed that: (1) Consumers' green food purchase behavior is significantly positively correlated with eight motivational factors: environmental awareness, health awareness, green attitude, green knowledge, subjective norms, price awareness, perceived behavior control, and perceived usefulness. (2) Economic development level, product type, and behavior type significantly affect consumers' green food purchase behavior. (3) The impact of motivational factors on actual purchase behavior is weaker than on purchase intention, suggesting that interventions should focus on converting purchase intentions into actual purchase behavior. (4) The findings indicate that environmental responsibility, government policies, and marketing strategies can influence consumers' psychological motives, guiding them toward more responsible consumption choices. Discussion: Enhancing consumers' environmental and health awareness is essential, and policy support and marketing strategies can effectively promote green food consumption. These insights underscore the importance of targeted interventions to bridge the gap between green purchase intention and behavior. [ABSTRACT FROM AUTHOR]

With the development of big data, our lives have gradually entered the information age, which has changed and reshaped the behavior of enterprises and consumers. In this paper, a user portrait clustering model based on big data is proposed to implement business model design for specific groups after clustering, target potential user groups for active marketing, and promote actual purchase behavior. In this paper, cost, risk, and contribution factors are introduced to improve the basic cooperative game allocation method. The improved model considers the operating cost of the main body, the level of risk, and the contribution proportion of the actual energy supply. In order to verify the effectiveness and applicability of the benefit distribution strategy based on the cooperative game proposed by the project, the research results provide a certain reference for precision marketing in relevant industries and enterprises. [ABSTRACT FROM AUTHOR]

Having in mind that sustainable consumption has become an important subject in today’s marketing, the paper uses literature review to analyse the theoretical approaches to sustainable consumer behaviour and models that explore the factors that affect the consumer purchasing process. In addition, empirical research was conducted during April and May 2023 with the aim of identifying the factors that impact green purchasing decisions of consumers and influence their awareness of sustainability. The survey has included 171 consumers (N=171) in the Republic of Serbia who rated different statements related to sustainable consumption and purchasing behaviour. The questionary was consisted of 28. variables referring to consumers’ purchasing decisions, post-purchasing behaviour, environmental awareness, and concern. The research has also included an analysis of sustainable consumption in the context of the respondents’ gender. Data processing and presentation of results were performed based on the application of descriptive statistics, t- test and factor analysis. [ABSTRACT FROM AUTHOR]

The development of fast sensory analysis techniques is almost mandatory to meet the demand of the food and beverages industry, which requires quick responses that do not involve the investment of many resources. The increase in demand for sensory services, and the need for new methods that provide quick and useful data to the beverages industry, has caused a significant rise in sensory-related research. Sensory science is a young discipline that has proven to be very useful for the food and beverage industry, not only to guarantee the quality of the organoleptic properties of raw materials and processed foods/beverages, but also to increase the probability of the success of new developments, to understand consumer response and detect potential consumer niches, and to monitor competitors. [Extracted from the article]

As the marketing landscape continues to evolve, consumer is important for corporate profitability in online shopping. Extensive research has shown that neuromarketing is essential in consumer decision-making. However, a comprehensive meta-analysis of online shopping visual presentation has not been conducted. This paper applies various eye-tracking dependent variables to investigate consumer visual attention related to four common interface design factors: brand, endorser, product, and text. From the research, it is generally demonstrated that a variety of stimuli items including goods, wines, advertisements, and brand items within every commercial domain has a positive influence. On the other hand, textual components like ingredient lists may have a potentially adverse impact. It is worthy mention that we identified the subgroup analysis involving total time of fixation (SMD=-0.020, 95%CI: [-0.079,0.039], p=0.507), fixation count (SMD=-0.032, 95%CI: [-0.109,0.045], p=0.421) and time to first fixation (SMD=0.464, 95%CI: [0.346,0.582], p=0.000). In this paper, exposure time obviously impacted fixation count (Q-value=11.637, p=0.003) and time to first fixation (Q-value= 10.316, p=0.006). Meanwhile consumer satisfaction highly related to fixation count (Q=10.953, p=0.001) and time to first fixation (Q=6.540, p=0.011) were under concern. Studies contained 17 papers with a total of 1071 participants. The publication bias was reasonable and the heterogeneity mainly resulted in subgroup and moderator differences. Our reanalysis study show that, to effectively employ the visual attributes that attract consumers, could prove advantageous to enhance consumer preference during online shopping interaction. More factor and moderators related to visual attention should be concerned for neuromarketing progress. Eye trackers are utilized in various disciplines including medicine and psychology. Not only total time of fixation, fixation count, time to first fixation but also other indicators may be strongly correlated with consumer preference. In the future, eye tracking tests could potentially replace intuitive interface design methods. Other measurements such as ERPs (event-related potentials), FMRI (functional Magnetic Resonance Imaging) could be explored for making better consumer experience. [ABSTRACT FROM AUTHOR]

Food waste is one of the most unusual behaviours related to economic systems located on the agrifood chain. In this matter, the study of the food waste and the mechanisms that lead to its development are complex and rooted within several components of the human behaviour and economic system dynamic. In this paper, we propose the development of a model which presents the dynamics of the phenomenon based on several cause-effect relationships between aspects of human behaviour and economic aspects. The model is built using a Systems Dynamic (SD) approach, based on the identification of connections between identified causes and effects and the determination of the ontologic and mathematical nature of the connections. [ABSTRACT FROM AUTHOR]

Carbon labeling (CL) is a carbon reduction policy with development potential that has not yet been widely promoted worldwide. This study explores the trend of consumers' willingness to pay (WTP) for different types of carbon-labeled products from a dynamic perspective, to provide a reference for future pilot projects. The research team collected 3788 valid questionnaires from China's first-tier cities spanning a five-year period and used interval regression to analyze the impact and change of consumer traits on WTP for the four types of carbon-labeled products in 2019 and 2024. The bootstrap method was further used to examine the impact mechanisms to explore ways to improve the current situation. This study found that (1) WTP for food, textiles, electronics, and other household products with CL generally decreased from 2019 to 2024. Textiles and electronics experienced a smaller decline, while food and other household products witnessed larger decreases. (2) The effect of consumer characteristics on WTP changes from 2019 to 2024. Consumers' frequency of low-carbon behaviors no longer significantly affects WTP across all product categories, while attitudes toward CL only affect textiles and electronics. (3) Consumers' perceived environmental value is the mechanism by which personal traits affect WTP. Finally, based on the findings, this study suggests that the selection of textiles and electronics as a pilot product is more likely to be accepted by consumers and that emphasis should be placed on the promotion of the environmental values of CL., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

New energy vehicles (NEVs), owing to their low carbon emission, have gained immense importance to achieve the net-zero emission target. The global NEVs market has grown significantly over the last decade. China, the United States (US), and Europe are the leading markets for NEVs. This study systematically and critically reviews NEV literature on consumer behavior pertaining to NEV adoption. An attempt is made to uncover the current research trends, research settings, theoretical perspectives, and key factors influencing consumer behavior towards NEVs. These factors are further categorized into five broad factors: (a) economic factors, (b) policy and regulatory factors, (c) psychological factors, (d) infrastructural and technological factors, and (e) demographic factors. Through a critical analysis of existing theories, this study delineates the complex phenomenon of consumer behavior towards NEV adoption, offering a holistic understanding of the key factors influencing consumer behavior. This review suggests that purchasing price, charging infrastructures, consumers' attitudes towards the environment, and government policies are decisive to NEV adoption. This study contributes to the NEV adoption literature by proposing an integrated theoretical framework. Further, it outlines the managerial and policy implications for transitioning towards NEVs to achieve net-zero emission targets., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

The burgeoning electric vehicle (EV) market poses a substantial challenge to battery recycling systems, yet understanding EV battery recycling behavior from the demand side remains limited. Previous studies have analyzed perceptual or attitudinal factors, neglecting the observable attributes of EV battery recycling. To this end, we proposed a discrete choice model to investigate the differences between formal and informal recycling behaviors, identifying consumer preferences and willingness to pay. By analyzing 1190 sample data collected from Chongqing, China, we find that: (1) The formal recycling market exhibits greater sensitivity to prices compared to the informal recycling market. (2) The formal recycling market favors recycling by EV battery producers, whereas the informal recycling market shows the least preference for recycling by automobile producers. (3) Door-to-door recycling services are the most effective in facilitating the transition from informal to formal recycling markets for EV batteries. (4) Capacity subsidy policies outperform one-time fixed subsidy policies in incentivizing formal recycling. (5) The formal recycling market for EV batteries necessitates "traceability to the recycling outlet", as opposed to being untraceable. (6) The high-awareness group exhibits greater sensitivity to government policies compared to those with lower environmental concerns and less knowledge of EV battery recycling., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Encouraging online consumers to participate in the value enhancement process of products and stimulating users to engage in spontaneous and voluntary behaviors, the so-called Customer Citizenship Behaviors (CCBs), can significantly contribute to enhancing the competitiveness of online communities. Nowadays, there has been no systematic discussion on enhancing product value through value co-creation. Based on the Social Exchange Theory (SET), and take the current new type of online community, the social live-streaming community, as the research object, this study investigates how Para-social Interaction (PSI) between users and streamers affects users' perceived benefits, whether perceived benefits are related to users' community commitment and the relationship between community commitment and CCB from the perspective of value co-creation. Three hundred and forty-seven valid samples from China were obtained using TikTok and subsequently analyzed via Partial least squares structural equation modeling (PLS-SEM). The analysis results show that PSI positively influences users' perceived benefits, and among the perceived benefits, hedonic and self-esteem benefits can positively influence users' community commitment. When users' community commitment to live-streamers exists, it can effectively incentivize users to develop CCB. Theoretically, research findings enrich the study of online community value co-creation, para-social interaction, and citizenship behavior and provide recommendations for operating social live-streaming platforms., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

The present study attempts to explore consumer-centric reasons affecting the adoption of electric vehicles (EVs) are investigated using behavioural reasoning theory (BRT). Our study is among the first to examine consumer's EV adoption intention using BRT through the integration of the reasons "for and against" electric vehicle (EV) adoption. On data of 312 urban consumers, second order confirmatory factor analysis (CFA) revealed the existence of underlying reasons and SEM helped in testing the proposed relationships. This study also investigates the interaction effect of financial incentive policy with the consumer reasons on EV adoption. Findings revealed that "reasons for" adoption are environmental concern, perceived technology, and maintenance of knowledge and "reasons against" adoption are scepticism, price, and instrumental utility. Environmental beliefs and values influence the "reasons for" consumer intentions to approve electric vehicle adoption. Financial incentives policy was found significant in dampening the impact of reasons against adoption of electric vehicle. The study delineates the strategies for strengthening the promotion of electric vehicles., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Consumer demand for repair services is vital for prolonging product lifespan, yet factors influencing the repair intention for smart appliances remain unclear. Addressing this gap, we propose an extended theory of planned behaviour, incorporating four additional constructs: environmental knowledge, cost of repair, financial benefit, and data security. We collected data from 383 participants in the United Kingdom, which we analysed using a partial least squares approach. Results reveal that the cost of repair, perceived behavioural control, attitude, and financial benefit directly impact repair intention, while subjective norms do not. Environmental knowledge indirectly influences repair intention through attitude mediation, and data security's impact is not moderated by attitude. This extended theory offers a theoretical foundation for future related studies, providing insights for repair providers, environmental NGOs, and policymakers. Our findings can inform interventions promoting repair behaviour and guide policies incentivising consumers, thus increasing the demand for repair services., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

The study investigates the impact of tourist behavior change on travel agencies in developing countries, with a focus on strategies for enhancing the tourist experience. The research aims to identify the main factors influencing tourist purchasing behavior and understand their relationship with the customer experience. Data were collected from 368 experienced tourists in Ho Chi Minh City and Hanoi, Vietnam, using a combination of convenience and random sampling. Partial Least Squares Structural Equation modeling (PLS-SEM) is employed to analyze the research model. The findings confirm that product quality, product price, brand image, and marketing strategy significantly influence tourist purchasing behavior. Importantly, the results highlight the indirect effect of these factors on purchasing behavior, mediated through customer experience. It suggests that enhancing the customer experience is a crucial aspect of influencing tourist purchasing decisions. Based on these findings, industry managers and travel agents in developing countries should prioritize enhancing customer experience and building a strong brand through personalized services, digital integration, and active social media engagement. Implementing dynamic pricing strategies and targeted marketing campaigns that address safety concerns and highlight local experiences are crucial for competitiveness and attracting travelers post-crisis. Future research should explore the long-term effects of these strategies on travel agency performance and adapt the model to specific regional contexts. By adopting these multifaceted approaches, travel agencies in developing countries can enhance their competitiveness and better navigate the changing tourist behavior in the post-crisis era., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

In modern marketing, the emergence of mass customization has reoriented the focus from traditional marketing practices toward a customer-centric approach. The individualization feel among consumers and the innovative approach taken by businesses are currently evident in the market but has yet been holistically analyzed. This study applied a modified Theory of Planned Behavior by incorporating the need for individualization, hedonic and utilitarian motivations, with a 4Ps marketing mix - with the main objective to identify factors contributing to the intention to make purchase of customized products. The survey involved 311 participants who completed an online questionnaire utilizing purposive sampling approach, focusing on those who had previously bought customized products. Structural Equation Modeling was employed as a statistical method to analyze the data with SPSS AMOS v25. Findings revealed that the need for individualization proved to have the highest effect on the intention to purchase customized products, explaining that consumers who are strongly inclined toward individualization not only perceive greater value in customized products but also express a higher intention to purchase them. This was followed by its direct significant effect on attitude, with an even higher effect on perceived behavioral control, along with the marketing mix latent variable and customer perceived value on purchasing intention. This study offers valuable insights for retail brand management and provides potential strategies for business improvement. Moreover, a valuable contribution to the limited literature on the promotion of customized product purchases was identified. Lastly, the developed framework and implications may be applied and extended by future research in the consumer behavior field., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

The paper aimed to study the purchase habits and behavior of the young generation regarding consumption of organic products. For this purpose, literature in the field was studied regarding the EU organic production and consumption. In order to determine the young Romanian consumers' perception concerning the organic products, a field survey based on a questionnaire was run during March -June 2021 on a sample consisting of 191 students from Sibiu and Brăila. Organic agriculture is a dynamic system in Romania, registering in the last 10 years an ascending trend, from 182,706 ha in 2010 to 468,887.05 ha in 2020. The organic products are consumed by the 90.6 % of the young people investigated (173 persons). They purchased organic products mainly form local markets (81.15%), super (80 %) or hypemarket (70.1%). Also, an amount of 66 % respondents use to buy organic products from specialised stories. The young generation believes that the most effective way to promote the consumption of organic products are: events organised in hyper or supermarket, specialised fairs for organic products, events like "open doors" at ecological operators. The students who were part of the target group of this study are in the category of well-informed consumers. They know how to recognize organic products by the existing marks on the packaging (69.6%). Young people say the main qualities of organic products are: healthy (93.2%), tasty (71.2%), contain fewer chemicals (61.8%), improve quality of life (51.3%), do not contain synthetic additives (48.7%). At the same time, organic products protect the environment (45%), support family farming (40.3%) and the local economy (40.3 %). [ABSTRACT FROM AUTHOR]

Consumer neuroscience is a new paradigm for studying consumer behavior, focusing on neuroscientific tools to explore the underlying neural processes and behavioral implications of consumption. Based on the bibliometric analysis tools, this paper provides a review of progress in research on consumer neuroscience during 2000–2021. In this paper, we identify research hotspots and frontiers in the field through a statistical analysis of bibliometric indicators, including the number of publications, countries, institutions, and keywords. Aiming at facilitating carbon neutrality via sustainable consumption, this paper discusses the prospects of applying neuroscience to sustainable consumption. The results show 364 publications in the field during 2000–2021, showing a rapid upward trend, indicating that consumer neuroscience research is gaining ground. The majority of these consumer neuroscience studies chose to use electroencephalogram tools, accounting for 63.8% of the total publications; the cutting-edge research mainly involved event-related potential (ERP) studies of various marketing stimuli interventions, functional magnetic resonance imaging (fMRI)-based studies of consumer decision-making and emotion-specific brain regions, and machine-learning-based studies of consumer decision-making optimization models. [ABSTRACT FROM AUTHOR]

With the rise of cultural and creative industries, cultural creativity has gradually become an important factor to promote the value of design in the future, and it is also a trend to integrate "cultural elements" into the design of products. At present, the cultural and creative industries in Western countries and Taiwan are the mainstay of their economic development. We should actively absorb their successful experiences and, with the support of national policies, carry out effective and lasting development of them, as well as continuously improve the quality of cultural and creative products. In today's steady economic development, the emotionalization of cultural and creative consumption has gradually formed a new consumption trend. When cultural and creative consumers buy stationery, they will inevitably have three situations: purchasing instinct, purchasing behavior, and reflection. Therefore, this paper adopts the method based on machine learning to conduct in-depth research on the users of cultural and creative products of "Forbidden Day and Night Set Gift Box." Through the research on the cultural and creative consumption intention of "Forbidden Day and Night Set Gift Box," it can effectively promote the development of domestic cultural and creative enterprises, and then promote the customer satisfaction of cultural and creative enterprises. This paper makes a detailed analysis of it from the perspectives of data processing, feature engineering, classification prediction models, and future development directions. By studying the cultural and creative behavior of users, a deep learning model based on neural network is established. The feature extraction, feature preprocessing, feature selection, and asymmetric data collection in the process of data processing are discussed in depth. In order to further improve the prediction accuracy and conduct more in-depth research, this paper establishes a deep learning prediction model based on depth. This model is experimentally validated and it can be observed that the model is 10% more efficient than the traditional model, so the model can learn data better from the user's behavior in several aspects, and the proposed and practice of this model has good practical significance. [ABSTRACT FROM AUTHOR]

In the conditions of the spread of globalization processes, growing interdependence, and interconnectedness of countries, a significant intensification of the academic society efforts to ensure national energy security and independence is necessary. The purpose of the paper is to provide a systematic review of the scientific environment aimed at analysing the contents and features of scientific publications dealing with new trends and patterns in sustainable energy consumption. In order to create a semantic and definition basis and research the main trends of scientific publications on the subject of developing energy efficiency and sustainable consumption, the paper carried out a bibliometric analysis concerning the categories «energy efficient» and «energy consumption» using the Scopus and VOSviewer tools. The main question is, what are the main scientific and research trends and patterns in the field of energy efficiency and sustainable consumption? For this purpose, the quantity and quality tendencies of the scientific articles which are studying issues connected with energy efficiency and sustainable consumer behaviour were determined. A sample of more than 24000 scientific publications on this issue was generated from publications indexed by the Scopus database. The study period covers 2001-2021. On the global level, the analysed investigated area is represented by the countries: China, the USA, and India. VOS viewer tools were used to systemize 5 clusters of scientific articles that analysed sustainable energy consumption from different points of view. Identification of regularities in the developing of scientific approaches to energy-efficient consumption and developing sustainable energy sector was carried out using bibliometric analysis, which has made it possible to describe the dominant retrospective evolutionary and temporal tendencies in the development of this theory concerning the concepts of sustainable development, environmental management, and development of renewables. As a result, one of the most significant trends is a green brand and tendencies connected with developing green marketing and green consumer awareness. [ABSTRACT FROM AUTHOR]