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This study investigates how individuals' self-awareness (specifically, private and public self-awareness) and environment-awareness (perceived expertise, similarity and familiarity) shape herd behavior, encompassing discounting one’s information and imitating others. Drawing from latent state-trait theory, this research aims to discern the impact of these factors on purchase intention and behavior.

Longitudinal data from 231 users in Xiaohongshu, China’s leading social commerce platform, were collected to test the proposed model and hypotheses.

The findings from this study show that private self-awareness negatively influences discounting one’s own information and imitating others. Public self-awareness positively affects imitating others, while it does not affect discounting one’s own information. Perceived expertise diminishes discounting one’s own information but does not significantly affect imitating others. Perceived similarity and perceived familiarity are positively related to discounting one’s own information and imitating others. The results confirm different interaction effects between self-awareness and environment-awareness on herd behavior.

First, this contributes back to the latent state-trait theory by expanding the applicability of this theory to explain the phenomenon of herd behavior. Second, this study takes an important step toward theoretical advancement in the extant literature by qualifying that both self- and environment-awareness should be considered to trigger additional effects on herd behavior. Third, this study provides a more enlightened understanding of herd behavior by highlighting the significance of considering the interplay between self- and environment-awareness on herd behavior. Finally, this study also empirically confirms the validity of classifying self-awareness into private and public aspects.

This study aims to identify the characteristics of Muslim Generation Z and analyze the factors that influence its purchase intention of environmentally friendly halal cosmetic products.

This research adopts the quantitative methods of a questionnaire and sampling technique using purposive sampling. The respondents in this study were 300 Indonesian Muslims from Generation Z. Descriptive analysis and structural equation modeling–partial least structural with SmartPLS 3.3.7 software were used to analyze the research data.

This study found that of the nine hypotheses tested, seven are confirmed, including the effect of halal labels on halal-green awareness, environmentally friendly labels on halal-green awareness, environmental knowledge on halal-green awareness and knowledge on attitudes. Meanwhile, religiosity and halal-green awareness influence attitudes and attitudes that affect the purchase intention of environmentally friendly halal cosmetics. Two hypotheses that are not accepted are the influence of religiosity on halal-green awareness and halal-green awareness on attitudes. The findings are expected to increase interest in buying environmentally friendly halal cosmetics by better understanding consumer behavior, especially Generation Z.

Cosmetics manufacturers benefit from halal-green branding on their products to enter new halal markets and increase market share.

This study is more comprehensive than previous studies, combining halal and environmentally friendly elements with a focus on Generation Z.

The purpose of this paper is to examine influence of past environmental attitudes, social and personal environmental norms, social influence, and green self-identity on Indian consumers’ green buying behaviour.

Data were collected through self-administered survey method by contacting respondents through mall intercept technique in six cities across India.

The findings suggest that green self-identity, peer influence, and past green buying behaviour influence the decision to purchase green product. Consumers’ self-identification with environment-friendly traits was a major predictor to green buying behaviour.

Influence of social groups, personal norms, and self-identity were examined. However, the study did not focus on any specific brand or product category. Issues like green brands, price sensitivity, and trust can be examined.

The findings can help firms in understanding Indian consumers’ predisposition and attitudes towards green products. Green products should be related to individual’s identity and ecological beliefs. Firms can modify their marketing communication strategies by linking green products them with social and personal factors.

Influence of factors like past environmental attitudes, social and personal norms on green buying have not been examined in Indian context. The study adds to existing literature by applying self-construal theory in explaining green buying behaviour.

Personal values, ascribed responsibility and green self-identity (GSI) have been analyzed separately for a long time, but a more in-depth investigation is required on the relationships between these variables and their combined effects on consumers' visiting intention toward green hotels. Thus, this study aims to draw on Schwartz's (1992) personal values framework and ascribed responsibility. It expands the Schwartz personal values framework by incorporating GSI as a moderator to understanding consumers' visiting intention toward green hotels.

Partial least squares-structural equation modeling was used to analyze 387 responses collected through a self-administered structured questionnaire from hotel consumers in Pakistan.

The findings revealed that ascribed responsibility and self-transcendence values were significant factors in predicting consumers' intention toward green hotels. Moreover, GSI significantly moderated between self-conservation values, self-transcendence values and attitude. However, the association between self-conservation values and attitude was found insignificant.

This study can assist hotel management in planning and implementing efficient hotel marketing strategies. Hospitality marketers should heed attention to self-transcendence values, ascribed responsibility and stress on using these aspects to sustain green hotels' adoption.

The study contributes to the literature on the antecedents of consumers' visiting intention toward green hotels by expanding the Schwartz personal values framework by adding ascribed responsibility. Further, the authors incorporated GSI as a moderator to understand consumers' visiting intentions toward green hotels in Pakistan.

With the pressing need for environmental conservation, regulatory authorities are actively looking for measures to prevent global warming. In the proposed inventory model for deteriorating items, demand is dependent on the selling price and green technology investment (or carbon reduction investment) for the green product (GP), as well as an investment in price-based preservation technology to slow down the pace of deterioration. Furthermore, emission reduction measures are put in place to reduce carbon emissions (CEs).

The current study executed a thorough literature review to determine how to improve supply chain management performance. Furthermore, assumptions are made to fill research gaps, and a mathematical model is created to address the problem mentioned above. To collect the data, the available inventory literature was reviewed. Additionally, numerical illustrations and sensitivity analyses are presented to emphasize the model's robustness.

The research indicates that it is more prudent to invest in preservation technology based on its selling price in order to control the rate of deterioration. In addition, the proposed model facilitates the management of deteriorated waste through salvage trading and emission reduction investment. The findings validate sustainable practices with a 20.86% increase in profit and a 21.4% decrease in CEs, thereby signifying environmental and economic benefits.

The proposed model enhances understanding of the impact of investments in price-based preservation technology and carbon reduction efforts on consumer perceptions of their intention to purchase GPs. Moreover, the study provides valuable insights by identifying important recommendations for policymakers regarding areas that require further investigation. This guideline can help identify both current and unexplored gaps, enabling researchers to direct future research efforts toward producing new products.

The purpose of this paper is to explore the operation strategies of a manufacturer who produces brown and green product simultaneously.

The authors establish three models to examine the joint decisions of pricing and advertising. Three advertising strategies are: non-advertising investment (NA), advertising investment for brown product (BA) and advertising investment for green product (GA).

The theoretical analysis shows that advertising investment can substantially increase the product greening level and manufacturer's profit. More importantly, we find that the GA strategy is more likely to be the best strategy as the advertising investment efficiency increases. The BA strategy is more likely to be preferred as the R&D cost increases. Finally, the modeling results are verified by numerical experiments, and more insights are obtained.

This paper considers the case in which a single manufacturer produces the brown and green product simultaneously. In fact, many manufacturers in the market produce brown and green product at the same time. Furthermore, in addition to advertising investment for brown product and green product, manufacturers can also invest in advertising for brands.

The paper contributes to the investigations on green production and advertising decisions of a manufacturer who produces brown and green products simultaneously.

This research aims to understand the behaviour of food consumption and waste in Peruvian households at the beginning of the COVID-19 pandemic.

Exploratory research was carried out with Peruvian households, using a descriptive method design. Data were analysed using descriptive and multivariate statistics. A self-administered questionnaire of 60 questions was used, applied by social networks in May 2020, obtaining 418 valid questionnaires.

The main findings allow the identification of a behaviour aiming the avoidance of waste and purchasing with a cost–benefit orientation, which is followed by purchase planning, knowledge and use of information on labels, food storage and cooking skills.

For companies in the food sector, relevant information is provided on consumer behaviour. For policymakers, elements are provided for the promotion of responsible consumption and zero waste. For the academy, an explanation is provided of how and in what way crises influence the behaviour of food consumption and waste.

Environmental-friendly and responsible consumption behaviour need to be supported, as well as to make consumers aware of the costs of food waste. These measures could be fostered by collective action that includes different actors – from civil society, the private and public sectors – and contribute to a sustainable solution, focused on improving consumption patterns and food waste.

The novelty of this research is based on exploring the understanding of the existing relation among food consumer behaviour, in a context of crisis, towards food waste prevention and avoidance, cost–benefit orientation and the knowledge about labelling, storage and handling.

The greening of the supply chain initiative, as implemented by world‐class ISO 14001 certified companies, has already demonstrated how much it contributes towards greening the industry of the region they operate in. The SMEs have been involved in such a green supply chain only to the extent of their participation as suppliers, distributors and in other capacities as business partners complementing the world‐class companies. All the same, in many regions, the environmental initiatives taken by the SMEs do conform to the different phases of the green supply chain. This study investigates if in the Philippine context this postulate is indeed true, and with the help of an empirical survey, establishes that the SME population in the Philippines do indeed carry out different phases of the green supply chain, though in a heterogeneous manner. This would be indeed expected given the heterogeneity in size and nature of business for SMEs in this region.

The major purpose of this study is to investigate the role of Industry 4.0 in circular supply chain management (CSCM). The study also identifies variables that positively influence circular performance of a supply chain and examines the relationships among them.

This research uses a novel mixed-method exploratory methodology with sequential design. To understand the relationships among the enablers and the role of Industry 4.0 in circular performance of supply chain, a qualitative method (interpretive structural modeling) was utilized. Following the qualitative phase, a questionnaire based quantitative study was conducted and the hypothesized mediating relationships were evaluated through smart-PLS structural equation modeling tool.

The findings of interpretive structural modeling (ISM) model revealed the hierarchical relationships among the enablers of circular supply chain management based on their relative importance. The variables were clustered in three groups of driver, dependent and linkage variables. The results of the structural model indicated that Industry 4.0 play a mediating role between the driver and dependent variables that influence circular performance in a supply chain.

The research offers practical insights for supply chains moving in the direction of zero waste by highlighting the important variables that require actions from different stakeholders. The research also reveals the importance of integrating Industry 4.0 technologies in restorative and regenerative cycles of circular supply chain.

The originality of the research stems from the scarcity of research on circular supply chain management. The authors argue about the critical role that Industry 4.0 can play in achieving circularity in supply chains.

Quality is increasingly being seen as a key strategic differentiator within the financial services sector in the UK, with most major players undertaking some form of quality initiative. Describes work undertaken within TSB Bank plc to determine both retail customer and staff perceptions of those factors which determine service quality. Initially identifies the models developed by Parasuraman et al. as being the most appropriate for modelling the data, but finds that although the service gap model provides an excellent basis for analysis, the SERVQUAL model is of more limited value. Describes an alternative basis for modelling service quality based on the three dimensions of process/outcome, subjective/objective and soft/hard is described and modelled against the experimental data. Describes some conclusions of significance for retail banking in particular, and service providers in general.