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The purpose of this study is to develop organic food consumption experience (OFCE) scales based on structural/functional theory.

In the first step, the construct and item generation of OFCE were developed by a literature review, and 58 items were created for the item pool. In the second step, qualitative interviews were used to evaluate and maintain 35 items. In the third step, an online survey collected 543 valid samples to test reliability and validity with exploratory factor analysis in phase 3A. The AHP method was also used to confirm the construct and items in phase 3B. In the final step, 1,017 valid samples were collected by face-to-face survey to test the formal scale with confirmatory factor analysis.

This study defines OFCE as the internal and subjective responses that result from a series of interactions between consumers, the shopping environment and organic food. Meanwhile, six dimensions are named: organic food quality, store interactions, organic certification, convenience concerns, health benefits, caring for family and sense of responsibility. In addition, there are significant differences between organic food businesses and consumers regarding their perceptions of OFCE.

To the best of the authors’ knowledge, this is among the first studies to develop OFCE scales. In addition, the results of the study can potentially help organic food marketers develop new promotion strategies.

In order to explore a new estimation approach of hyperspectral estimation, this paper aims to establish a hyperspectral estimation model of soil organic matter content with the principal gradient grey information based on the grey information theory.

Firstly, the estimation factors are selected by transforming the spectral data. The eigenvalue matrix of the modelling samples is converted into grey information matrix by using the method of increasing information and taking large, and the principal gradient grey information of modelling samples is calculated by using the method of pro-information interpolation and straight-line interpolation, respectively, and the hyperspectral estimation model of soil organic matter content is established. Then, the positive and inverse grey relational degree are used to identify the principal gradient information quantity of the test samples corresponding to the known patterns, and the cubic polynomial method is used to optimize the principal gradient information quantity for improving estimation accuracy. Finally, the established model is used to estimate the soil organic matter content of Zhangqiu and Jiyang District of Jinan City, Shandong Province.

The results show that the model has the higher estimation accuracy, among the average relative error of 23 test samples is 5.7524%, and the determination coefficient is 0.9002. Compared with the commonly used methods such as multiple linear regression, support vector machine and BP neural network, the hyperspectral estimation accuracy of soil organic matter content is significantly improved. The application example shows that the estimation model proposed in this paper is feasible and effective.

The estimation model in this paper not only fully excavates and utilizes the internal grey information of known samples with “insufficient and incomplete information”, but also effectively overcomes the randomness and grey uncertainty in the spectral estimation. The research results not only enrich the grey system theory and methods, but also provide a new approach for hyperspectral estimation of soil properties such as soil organic matter content, water content and so on.

The paper succeeds in realizing both a new hyperspectral estimation model of soil organic matter content based on the principal gradient grey information and effectively dealing with the randomness and grey uncertainty in spectral estimation.

Sustainable development is inseparable from rational and responsible use of resources and promotion of green entrepreneurship. The contemporary green development agenda encompasses climate, economic, technical, social, cultural, and political dimensions. International efforts to greening the global development are conducted by the major economies, including China as the world’s largest consumer of energy and the biggest emitter of greenhouse gases. China is aware of its environmental problems, as well as of its part of the overall responsibility for the accomplishment of the sustainable development goals. By means of the decarbonization efforts, the latter are integrated both into the national development agenda (the concept of ecological civilization) and China’s international initiatives (the greening narrative within the Belt and Road Initiative). Over the past decade, China has made a breakthrough on the way to promoting green entrepreneurship and greening of its development (better quality of air and water, renewable energy, electric vehicles, and organic farming). On the other hand, emissions remain high, agricultural land loses productivity, and freshwater resources degrade due to climate change. In conventional industries (oil, coal mining, and electric and thermal energy), decarbonization faces an array of impediments. In this chapter, the authors summarize fundamental provisions of China’s approach to building an ecological civilization and measures to reduce emissions and achieve the carbon neutrality status within the nearest decades. The analysis of obstacles to the decarbonization of the economy and possible prospects for the development of green entrepreneurship summarizes China’s practices for possible use in other countries.

Corporate social responsibility (CSR) promotes society, reduces risk, and encourages ethical business practices. Due to its relevance, we study how CSR influences firms' sustainable development. We analyze data from 427 New York Stock Exchange (NYSE)-listed firms from 2008 to 2022. The Refinitiv environmental and social score is used to measure CSR, whereas for firms' sustainable development we rely on corporate sustainable growth rate (SGR) and market-based metrics. The analysis employs various econometric techniques, including ordinary least square, fixed effect regression, two-stage least square, generalized method of moment, and simultaneous quantile regression. The results indicate that CSR has a positive and significant effect on firms' sustainable development across all models. This relationship supports the notion that socially responsible business can contribute to long-term financial sustainability in line with “stakeholder theory”, indicating that companies should accommodate the concerns of various stakeholders, including society and the environment, to achieve sustainable development. We evaluate how the conditional distributions of SGR and firms’ value are affected by CSR, categorizing them into high, moderate, and low regimes. The quantile regression estimates indicate that the effect of CSR is more pronounced at upper quantiles, followed by moderate and low regimes. These findings underscore the importance of considering CSR in assessing the SGR and enterprises market value. We also confirm that our results are robust under range of different econometrics' methods. Finally, we enlighten current literature, and our research has useful policy implications for management and investors.

The purpose of this paper is to examine the factors that influence Japanese consumer purchase intention toward products bearing animal welfare (AW) certification labels.

A conceptual model was developed with the constructs of informativeness, trust, consumer perception, health consciousness, moral norms and purchase intention and tested using a sample of 513 Japanese consumers. Data were collected using an online panel with the direct effects analyzed using regression while the mediation analysis was performed using Hayes PROCESS macro.

The findings have confirmed that informativeness, consumer perception and trust contribute to consumer purchase intention of products with AW certification labels. Moral norm has a significant indirect effect on the relationship between consumer perception and intention to purchase. However, health consciousness did not demonstrate any indirect effect on the relationship between consumer perception and intention to purchase.

This study contributes significantly to our understanding of Japanese consumers' perception toward AW certification labels, especially considering the limited discussion surrounding this topic in Japan. By highlighting the importance of informativeness, it sheds light on how enhancing consumer knowledge can potentially boost the demand for AW foods. Moreover, it challenges the conventional belief in the impact of health consciousness and consumer behavioral intention, thereby expanding the discourse on the role of health consciousness in consumer choices. Through this exploration, the study not only enhances consistency in discussing consumer behavior but also strengthens the coherence and argumentation of the research findings.

Given the extensive evidence of femvertising's positive effects in Western cultures, this paper aims to investigate how femvertising may influence customers' perceptions and brand-related outcomes in a patriarchal context such as Pakistan.

Qualitative methodology was employed in this study, which was based on in-depth interviews involving 17 consumers (including both male and females). Thematic analysis was used to analyse the data.

Results indicated that male and female consumers revealed varied and sometimes contradictory perspectives on the perception, understanding and behaviour towards femvertised adverts, which are governed by patriarchal gendered norms.

This study contributes to the body of knowledge by exploring the consumer perception towards femvertising in a patriarchal context, where gender disparity is evident. It also draws attention to the underlying cultural elements contributing towards the formation of those perceptions.

The increasing focus of consumers on health and environmental sustainability continues to drive the demand for organic food. Despite the recognized importance of health and environmental concerns, the differential impact of these factors on organic food purchasing decisions is evident, indicating the presence of moderating variables. This investigation attempts to delineate these contingencies within the realms of socio-environmental and individual factors, paying particular attention to subjective norms, uncertainty, and egoistic values.

Using the convenience sampling method, the primary data sample was collected by a professional market research consulting firm and included 1876 usable respondents from China. Hierarchical multiple regression analysis was utilized to verify the model and test the relationships between the constructs.

The results indicated that the path from environmental concern to organic food purchase intention was significantly influenced by subjective norms and uncertainty, both of which enhance this relationship. In contrast, egoistic values appeared to dampen this effect. Uncertainty also emerged as a key factor in the link between health concerns and organic food purchase intention, albeit with an opposite impact, weakening the relationship.

This study provides useful insights for academics and marketers to understand the complex phenomenon of organic consumer behavior. This result indicates that marketers can target reference groups to develop organic food marketing strategies.

Few studies have proposed and validated a model with these moderating factors collectively to study the purchase intention of organic food consumers in China.

There is paucity of research on the significant criteria that non-Muslims consider when purchasing halal cosmetics. Consequently, this paper aims to apply the theory of planned behaviour (TPB) and the health belief model (HBM) to investigate the effects of subjective norms (SN), perceived behavioural control (PBC), halal certification and health consciousness on attitude; as well as the impact of attitude on promoting the intention to purchase halal cosmetic products among non-Muslims.

Data collection involved the use of a web-based survey of 238 non-Muslim respondents that are resident in Malaysia, a south east Asian country reputed for being the global hub for halal products. The proposed model was evaluated using Smart PLS 3.3.5.

According to the structural model results, halal certification, health consciousness and SN have significant relationships with attitude. In addition, there are significant relationships between attitude, health consciousness, SN and the intention to purchase halal cosmetic products. In contrast, there is no correlation between halal certification, PBC and intention to purchase halal cosmetics. Furthermore, attitude significantly mediates the relationships between halal certification, SN, health consciousness and intention to purchase halal cosmetics. However, attitude did not significantly fulfil the role of a mediator in the relationship between PBC and intention to purchase halal cosmetic products.

The study findings provide valuable insights to companies targeting non-Muslim markets. The study findings contend how halal cosmetic production/marketing companies may customize their marketing activities based on social and health perspectives, thereby increasing the consumers’ social expectations and confidence in halal cosmetics production standards and guaranteeing safety to influence their attitudes and quickly penetrate the new market for non-Muslim consumers who make a relatively unexplored population.

The purpose of the paper is to conduct a numerical and experimental investigation into the properties of nanofluids containing spherical nanoparticles of random sizes flowing through a porous medium. The study aims to understand how the thermophysical properties of the nanofluid are affected by factors such as nanoparticle volume fraction, permeability of the porous medium, and pore size. The paper provides insights into the behavior of nanofluids in complex environments and explores the impact of varying conditions on key properties such as thermal conductivity, density, viscosity, and specific heat. Ultimately, the research contributes to the broader understanding of nanofluid dynamics and has potential implications for engineering and industrial applications in porous media.

This paper investigates nanofluids with spherical nanoparticles in a porous medium, exploring thermal conductivity, density, specific heat, and dynamic viscosity. Studying three compositions, the analysis employs the classical Maxwell model and Koo and Kleinstreuer’s approach for thermal conductivity, considering particle shape and temperature effects. Density and specific heat are defined based on mass and volume ratios. Dynamic viscosity models, including Brinkman’s and Gherasim et al.'s, are discussed. Numerical simulations, implemented in Python using the Langevin model, yield results processed in Origin Pro. This research enhances understanding of nanofluid behavior, contributing valuable insights to porous media applications.

This study involves a numerical examination of nanofluid properties, featuring spherical nanoparticles of varying sizes suspended in a base fluid with known density, flowing through a porous medium. Experimental findings reveal a notable increase in thermal conductivity, density, and viscosity as the volume fraction of particles rises. Conversely, specific heat experiences a decrease with higher particle volume concentration.xD; xA; The influence of permeability and pore size on particle volume fraction variation is a key focus. Interestingly, while the permeability of the medium has a significant effect, it is observed that it increases with permeability. This underscores the role of the medium’s nature in altering the thermophysical properties of nanofluids.

This paper presents a novel numerical study on nanofluids with randomly sized spherical nanoparticles flowing in a porous medium. It explores the impact of porous medium properties on nanofluid thermophysical characteristics, emphasizing the significance of permeability and pore size. The inclusion of random nanoparticle sizes adds practical relevance. Contrasting trends are observed, where thermal conductivity, density, and viscosity increase with particle volume fraction, while specific heat decreases. These findings offer valuable insights for engineering applications, providing a deeper understanding of nanofluid behavior in porous environments and guiding the design of efficient systems in various industrial contexts.

This research examines the elements that influence consumer behavior regarding food waste reduction in buffet style restaurants. It specifically analyzes the factors that affect consumers' efforts to reduce food waste in these establishments by incorporating the theory of planned behavior (TPB), the norm activation model (NAM), and the social exchange theory (SET). Additionally, this study provides practical coping strategies for the restaurant industry.

Drawing upon an integrated framework, the study collected 547 valid responses through an online survey on Amazon’s Mechanical Turk (MTurk) for structural equation analysis. Participants who are 18 years or older and have prior experience dining in buffet style restaurants were eligible to participate in the study.

The findings underscore the profound impact of consumer awareness on their attitudes (ATT) toward minimizing food waste. Moreover, subjective norms (SN), perceived behavioral control (PBC), personal norms (PN) and establishment policies emerge as critical drivers of consumer behavior in buffet style dining settings. In light of these results, recommended strategies include enhancing consumer awareness initiatives and introducing house policies within restaurant operations.

This study employs an integrated framework that combines the NAM and TPB, taking into account the impact of house policies grounded in the SET. It provides a beneficial insight on reducing food waste in the buffet style foodservice operations from an interactive dynamic perspective between restaurants and consumers. Furthermore, this research offers valuable implications to the industry’s efforts to address food waste concerns and foster environmentally responsible behavior among consumers.