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This paper aims to examine the comovement among green bonds, energy commodities and stock market to determine the advantages of adding green bonds to a diversified portfolio.

Generic 1 Natural Gas and Energy Select SPDR Fund are used as proxies to measure energy commodities, bonds index of S&P Dow Jones and Bloomberg Barclays MSCI are used to represent green bonds and the New York Stock Exchange is considered to measure the stock market. Granger causality test, wavelet analysis and network analysis are applied to daily price for the select markets from August 26, 2014, to March 30, 2021.

Results from the Granger causality test indicate no causality between any pair of variables, while cross wavelet transform and wavelet coherence analysis confirm strong coherence at a high scale during the pandemic, validating comovement among the three asset classes. In addition, network analysis further corroborates this connectedness, implying a strong association of the stock market with the energy commodity market.

This study offers new evidence of the temporal association among the US stock market, energy commodities and green bonds during the COVID-19 crisis. It presents a novel approach that measures and evaluates comovement among the constituent series, simultaneously using both wavelet and network analysis.

Each individual needs to be vaccinated to control the spread of the COVID-19 pandemic in the shortest possible time. However, the vaccine distribution with an already strained supply chain in low- and middle-income countries (LMICs) will not be effective enough to vaccinate all the population in stipulated time. The purpose of this paper is to show that there is a need to revolutionize the vaccine supply chain (VSC) by overcoming the challenges of sustainable vaccine distribution.

An integrated lean, agile and green (LAG) framework is proposed to overcome the challenges of the sustainable vaccine supply chain (SVSC). A hybrid best worst method (BWM)–Measurement of Alternatives and Ranking According to COmpromise Solution (MARCOS) methodology is designed to analyze the challenges and solutions.

The analysis shows that vaccine wastage is the most critical challenge for SVSC, and the coordination among stakeholders is the most significant solution followed by effective management support.

The result of the analysis can help the health care organizations (HCOs) to manage the VSC. The effective vaccination in stipulated time will help control the further spread of the virus, which will result in the normalcy of business and availability of livelihood for millions of people.

To the best of the author's knowledge, this is the first study to explore sustainability in VSC by considering the environmental and social impact of vaccination. The LAG-based framework is also a new approach in VSC to find the solution for existing challenges.

This study integrates the theory of planned behaviour (TPB) and value-belief-norm (VBN) theory to investigate tourists' intention and behaviour to visit green hotels in Malaysia.

A total of 160 valid questionnaire responses were collected via an online survey. The partial least square–structural equation modelling (PLS-SEM) technique was utilised to assess the study framework and the hypothesised relationship.

The study's results confirmed that tourists' intention to stay at a green hotel is directly influenced by their subjective norms and perceived behavioural control. Besides, the study confirms the insignificant relationship between green trust, personal norms and tourists' stay intention. On the other hand, perceived morals, responsibility, willingness to pay more and perceived consumer effectiveness were significant in explaining the customer's subjective norms, personal norms and perceived behaviour control.

The hotel industry may benefit from this empirical outcome to devise effective marketing strategies for retaining their customers, particularly in rejuvenating the impact of the COVID-19 pandemic on the industry.

This study provides valuable practical implications for green hotel operators to develop effective strategies to attract tourists to green hotel visits.

This study is the first to integrate the extended TPB and VBN theory to understand tourist intention to visit a green hotel. Notably, the extended TPB and VBN theory was practical and helpful in predicting tourist intention to visit a green hotel.

The customers are demanding the products which are not only healthy but also clean and environment friendly i.e. call for sustainable consumption products. Therefore, this study aims to identify the important drivers of organic food purchase intention.

A cross-sectional research design involving the collection of primary data from 234 respondents was adopted in this study. Responses were gathered from the consumers of organic food representative of the Indian population. Structural equation modelling was applied to analyze data and validate the research model.

The findings of the study would help practitioners understand the factors leading to the purchase intention of organic food products in a growing consumer market. This knowledge would help them devise marketing and communication strategies to increase the consumption of organic food products.

The present study advances existing literature on organic food consumption by extending the theory of planned behaviour with factors, namely, environmental concern, convenience and trust, and establishing their role in developing the purchase intention for organic food products.

Los consumidores demandan productos no sólo saludables, sino también limpios y respetuosos con el medio ambiente, es decir, productos de consumo sostenible. Por lo tanto, este estudio pretende identificar los principales factores que influyen en la intención de compra de alimentos ecológicos.

En este estudio se adoptó un diseño de investigación transversal que incluía la recogida de datos primarios de 234 encuestados. Las respuestas procedían de consumidores de alimentos ecológicos representativos de la población india. Se aplicó un modelo de ecuaciones estructurales para analizar los datos y validar el modelo de investigación.

Las conclusiones del estudio ayudarán a los profesionales a comprender los factores que conducen a la intención de compra de productos alimentarios ecológicos en un mercado de consumidores en crecimiento. Este conocimiento les ayudaría a diseñar estrategias de marketing y comunicación para aumentar el consumo de alimentos ecológicos.

El presente estudio avanza la literatura existente sobre el consumo de alimentos orgánicos mediante la ampliación de la TPB con factores, a saber, la preocupación por el medio ambiente, la conveniencia y la confianza, y el establecimiento de su papel en el desarrollo de la intención de compra de productos alimenticios orgánicos.

顾客要求的产品不仅是健康的, 而且是清洁和环保的, 即呼吁可持续消费产品。因此, 本研究旨在确定有机食品购买意向的重要驱动因素。

本研究采用横断面研究设计, 从234名受访者中收集原始数据。受访者的回答来自于代表印度人口的有机食品消费者。采用结构方程模型来分析数据并验证研究模型。

本研究的结果将有助于从业者了解在不断增长的消费市场中导致有机食品购买意向的因素。这些知识将帮助他们制定营销和沟通策略, 以增加有机食品的消费。

本研究通过扩展TPB的因素, 即环境关注、便利性和信任, 并确定它们在发展有机食品购买意向中的作用, 从而推进了现有的关于有机食品消费的文献。

This study aimed to develop the integration of the multiperiod production-distribution model in a closed-loop supply chain involving carbon emission and traceability. The developed model was for agricultural food (agri-food) products, considering the reverse flow of food waste from the disposal center (composting center) to producers.

The results indicate that integrating the production and distribution model considering food waste recycling provides low carbon emissions in lower total costs. The sensitivity analysis also found that there are trade-offs between production and distribution rate and food waste levels on carbon emission and traceability.

This study focuses on the mathematical modeling of a multiperiod production-distribution formulation for a closed-loop supply chain.

The model of the agri-food closed-loop supply chain in this study that considers food recycling and carbon emissions would help stakeholders involved in the agri-food supply chain to reduce food waste and carbon emissions.

The study aims to investigate the consumers' behavioral intention toward green hotels. The tendency of individuals to afford green hotels is further escalating with progressing coronavirus disease-2019 (COVID-19) pandemic recurring waves. The increased worry of consumers toward health, hygiene and the climate is acquiring momentum and transforming how consumers traditionally perceive green hotels.

The study has recommended an integrated framework incorporating various research fields as attitude-behavior-context theory, theory of planned behavior (TPB) and moderating influences to study the associations among the antecedents of consumers' behavioral intention toward green hotels. The study comprised the participation of 536 respondents residing in the Delhi and National Capital Region (NCR) of India. The data analysis strategy involved the use of structural equation modeling (SEM) analysis to test the proposed research framework.

The results and findings of the study indicated a significant influence of fear and uncertainty of the COVID-19 pandemic and environmental concern on green trust. The results also revealed the considerable impact of green trust on willingness to pay premium, attitude and subjective norms, which significantly influenced behavioral intention. The analysis also revealed the moderating influence of environmental concern in the relationship of green trust and behavioral intention.

The study has recommended significant theoretical. The theorists may use this research framework to analyze better the transforming consumer behavior trends toward green hotels in the ongoing fearful and uncertain COVID-19 pandemic scenario.

The study has recommended significant managerial implications. The industry practitioners may also utilize the framework to sustain the hotel business and bring new strategic insights into practice to combat the impact of the pandemic and simultaneously win consumers' trust in green hotels.

Although the researchers have previously emphasized consumers' intention toward green practices embraced by hotels, the impact of the COVID-19 pandemic on the green hotel industry gained noticeable attention from researchers. Furthermore, there is a scarcity of literature providing insights on the behavioral dynamism of hotel customers' trust, attitude and willingness to pay for green hotels during the repetitive waves of the COVID-19 pandemic. The study will support the existing literature gap by enlightening the associations among the various antecedents of green hotels' behavioral intention, COVID-19 and environmental concern.

The paper aims to understand the young residents’ household waste intentions through place attachment (PA) approach where place dependency (PD) and place identity (PLI) influence recycling intentions (RIs). Furthermore, the effect of norms (both subjective and moral) on residents’ association with PLI was also analyzed.

The conceptual model, including the hypothesized relationship between variables, was established through relevant literature. The study extends the theory of planned behavior (TPB) through a place-based approach in young residents’ household waste RIs. The proposed conceptual model also replaced the position of norms (subjective and moral) as antecedents to PLI in the proposed extended and modified TPB model. Partial least square structural equation modeling (PLS-SEM) has been used for the statistical analysis of the data. The questionnaires were distributed digitally. The convenience sampling approach was adopted for collecting data.

The results tenably billed the inclusion of placed-based approach in the TPB and norms (subjective and moral) in predicting PLI of young residents. All the alternative hypotheses in the proposed model were accepted. The predictive power of RIs was 41.4%.

The research only considered the educated and financially opulent residents, among whom the waste disposal system was well established and may have led to favorable results. The study only limits to measuring intentions, and its organic nature opens vistas for future research studies where more variables could be agglutinated to achieve pronounced prediction power and also further measure actual recycling behavior and practice.

The study adds to pragmatic implications for local governments and municipalities where the waste collection apparatuses could capitalize on the findings to achieve efficiency in household waste collection and recycling.

With young generation of residents at the helm for forging a cleaner environment, the study motivates environmental enthusiasts and social scientists to better understand household waste RIs. The study will help young generation to become more sensitized towards the environment by making green changes in daily disposal habits.

The study explored two prospects. First, PA (place dependence and place identity) was added as an external variable and precedent to RIs, and second, the norms (both subjective and moral) were taken as antecedents to place identity.

The study employs two independent experimental studies to collect data. It focuses on the matching effect between advertising appeals and product types. The Elaboration Likelihood Model serves as the theoretical framework for understanding the cognitive processing involved in consumers' responses to these advertising appeals and product combinations.

This paper aims to investigate the impact of advertising appeals on consumers' intentions to purchase organic food. We explored the interaction between advertising appeals (egoistic vs altruistic) and product types (virtue vs vice) and purchase intention. The goal is to provide insights that can enhance the advertising effectiveness of organic food manufacturers and retailers.

The analysis reveals significant effects on consumers' purchase intentions based on the matching of advertising appeals with product types. Specifically, when egoistic appeals align with virtuous products, there is an improvement in consumers' purchase intentions. When altruistic appeals match vice products, a positive impact on purchase intention is observed. The results suggest that the matching of advertising appeals with product types enhances processing fluency, contributing to increased purchase intention.

This research contributes to the field by providing nuanced insights into the interplay between advertising appeals and product types within the context of organic food. The findings highlight the importance of considering the synergy between egoistic appeals and virtuous products, as well as altruistic appeals and vice products. This understanding can be strategically employed by organic food manufacturers and retailers to optimize their advertising strategies, thereby improving their overall effectiveness in influencing consumers' purchase intentions.

The purpose of this study is to develop a novel general mathematical model to find the optimal product mix of commercial graphite products, which has a complex production process with alternative sub-processes in the graphite mining production process.

The network optimization was adopted to model the complex graphite mining production process through the optimal allocation of raw graphite, byproducts, and saleable products with comparable sub-processes, which has different processing capacities and costs. The model was tested on a selected graphite manufacturing company, and the optimal graphite product mix was determined through the selection of the optimal production process. In addition, sensitivity and scenario analyses were carried out to accommodate uncertainties and to facilitate further managerial decisions.

The selected graphite mining company mines approximately 400 metric tons of raw graphite per month to produce ten types of graphite products. According to the optimum solution obtained, the company should produce only six graphite products to maximize its total profit. In addition, the study demonstrated how to reveal optimum managerial decisions based on optimum solutions.

This study has made a significant contribution to the graphite manufacturing industry by modeling the complex graphite mining production process with a network optimization technique that has yet to be addressed at this level of detail. The sensitivity and scenario analyses support for further managerial decisions.