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This study aims to verify the impact of the supply shock (fall in harvested output) and demand shock (fall in household income) due to the pandemic on the consumption of necessities and household savings of tilapia's smallholder farmer.

The researchers randomly chose 144 households as research samples using the proportional random sampling technique in Padang Jaya District, North Bengkulu Regency. Researchers collected data on household income, farm losses, household consumption for basic needs, labor demand, use of production inputs, the amount of output sold and saving both during and before the pandemic. The data were collected from the sample using a questionnaire prepared by the researchers. This study used a simultaneous equations system for arranging tilapia's smallholder farmer household economic model.

This study verified that the demand shock phenomenon makes households more severe than the supply shock phenomenon. The demand shock phenomenon made worse-off tilapia smallholder farmers because it caused their household savings to drop during the pandemic. The fall in savings will disrupt the stability of consumption of household necessities (health, food, education and clothing) in the future.

The main contribution of this study was providing empirical evidence about the impact of the demand and supply shock of COVID-19 on the most vulnerable entities in the Indonesian freshwater aquaculture industry, namely, smallholder farmer households of freshwater aquaculture fish.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0554.

It is known that a conflict exists between consumers’ materialistic and green values. Previous research has focused on values conflict consequences. Antecedents of consumers’ materialistic and green values conflict remain understudied. This study aims to explore the antecedents of consumers’ materialistic and green values conflict.

An exploratory type research design was applied. Overall 22 interviews were conducted with consumers that had materialistic and green values conflict. The transcripts of the interviews were analyzed using content analysis with Maxqda software.

The findings demonstrate consumers' negative attitudes towards consumption, understood as consumerism. Results indicate that value conflict is related to unpleasant emotions such as guilt, anxiety, helplessness and remorse. Guilt is the most prominent emotion associated with the conflict of values. The study identifies dissonant information, environmental knowledge, social norms, impulsive buying and mindfulness as antecedents of materialistic and green values conflict.

The novelty of the study is the antecedents of the materialistic and green values conflict. This study makes a valuable contribution to the academic discourse on sustainable consumption, consumer materialism and green values by providing a deeper understanding of the values conflict experienced by consumers who hold materialistic and green values. The main significance of this study is that it provides valuable insights from qualitative research into the antecedents of the conflict between consumers' materialistic and green values.

Due to the paucity of research examining message framing strategies and attention in anti-consumption advertisements, this study aims to determine whether there is a significant difference between the amount of attention paid towards positively and negatively framed advertisements.

A quasi-experimental study design was conducted with a sample of 56 participants using two different (negatively and positively framed) social marketing print advertisements aimed at encouraging a reduction in meat consumption. The research used eye-tracking to examine attention.

Findings indicate that the negatively framed advertisement elicited significantly higher levels of attention overall than the positively framed advertisement (p < 0.05). Additionally, participants paid significantly more attention to the headline in the negatively framed advertisement than to the headline in the positively framed advert (p < 0.05). Participants also paid significantly more attention to the tagline in the positively framed advertisement (p < 0.05).

This study provides evidence for the effectiveness of a negative social marketing framing strategy compared to a positive framing strategy – through the effects these strategies had on consumer attention. Positively and negatively framed advertisements produce different typologies of attention towards advertising elements or areas of interest. These findings provide social marketers important insights about message placement and effectiveness when considering whether to use a positively framed or negatively framed advertisement.

Despite the importance of emotional variables in shaping individuals' consumption behavior, nature-love still needs to be addressed concerning various aspects of sustainable consumption behavior (SCB). Considering the dimensions of nature-love, this study aims to investigate the effect of passion-for-nature, intimacy-with-nature and commitment-to-nature on SCB. Furthermore, this study aims to incorporate the construal levels of psychological distance (PD) as a moderating variable between the tested variables to add a more in-depth understanding.

Data was collected from a sample of 311 individuals from Egypt using the snowball sampling method and the ten-time rule technique. The data was analyzed using partial least squares-structural equation modeling (PLS-SEM).

The findings indicate that passion-for-nature and intimacy-with-nature have a significant positive effect on green purchasing, reusability and recycling. On the other hand, commitment-to-nature has a significant positive effect on both green purchasing and reusability. Additionally, a high PD acts as a moderator between the relationships tested. The findings have been discussed in terms of their theoretical and practical implications.

To the best of the authors’ knowledge, this is the first study to integrate PD as a moderator between the relationships tested. Additionally, this paper is the first empirical research investigating these relationships in developing economies.

Changes and transformations experienced today have created alternative lifestyles in cities. Many life concepts try to find solutions to environmental problems, so much so that this section focuses on smart eco-city concept, which is one of the trending city initiatives of the last century and is expected to become more popular each day. In the chapter, firstly, information about the concepts of eco-city and smart city is given and then what is meant by the concept of smart eco-city is discussed. Next, smart eco-cities have been tried to be explained with application examples. Finally, the chapter emphasizes the importance of ecological cities blended with technology for the sustainability of living spaces and offers implications for future research.

This paper aims to investigate the effect of tourists’ social media usage when planning trips on the probability of tourists consuming nightlife activities and their spending on nightlife consumption.

Two thousand questionnaires comprising questions about social media usage, consumption of nightlife entertainment and decisions to consume nightlife activities are distributed to international visitors at the departure hall of Phuket International Airport. A series of regressions are estimated. A Heckman two-step correction model is conducted to avoid the potential of selection bias.

Results show that the information available on Facebook positively links with the probability of tourists consuming nightlife activities. Furthermore, findings indicate that the usage of YouTube in tourist trip planning could statistically influence tourists to spend more on their nightlife consumption. Therefore, the results suggest that entrepreneurs could use Facebook to stimulate tourists’ nightlife consumption, while YouTube could be used to elevate tourists’ spending on nightlife consumption. The influence of these two social media sites on tourists’ decisions aids the authorities in the mitigation of the negative impacts of nightlife tourism.

Given the increasing role of social media in tourists’ consumption choices, to the best of the authors’ knowledge, this is the first paper to quantitatively explore the relationship between tourists’ social media usage and nightlife consumption in Thailand. The revealed relationship between the use of specific social media sites (Facebook and YouTube) and tourists’ decisions to consume and the amount spent on nightlife consumption could be used by nightlife tourism entrepreneurs and destination marketers in their marketing campaigns, yielding competitive advantages. Meanwhile, related authorities and non-profit organisations could apply this study’s findings to demarket tourists’ consumption of nightlife activities in areas affected by the negative impacts of tourists’ nightlife consumption.

This study aims to investigate the use of Artificial Intelligence (AI) applied to vertical farms to evaluate whether disrupting technology supports sustainability and increases strategic business model choices in the agricultural sector. The study responds through empirical analysis to the gap on the subject of AI-driven business models present in the growing sector literature.

The paper analyzes the case of “ZERO”, a company linked to the strategy innovation ecosystem of the Ca’ Foscari University of Venice, Italy. The empirical data were collected through a semi-structured questionnaire, interviews and the analysis of public news on the business model available in the analyzed case study. The research is empirical and uses exploratory, descriptive analysis to interpret the findings. The article focuses on the evaluation of AI impact on the agricultural sector and its potential to create new business models.

The study identified how AI can support the decision-making process leading to an increase in productivity, efficiency, product quality and cost reduction. AI helps increase these parameters through a continuous learning process and local production, and the possible decrease in prices directed toward the goal of zero km food with fresh products. AI is a winning technology to support the key elements of the vertical farm business model. However, it must be coupled with other devices, such as robots, sensors and drones, to collect enough data to enable continuous learning and improvement.

The research supports new research trends in AI applied to agriculture. The major implication is the construction of ecosystems between farms, technology providers, policymakers, universities, research centers and local consumer communities.

The ZERO case study underlines the potential of AI as a destructive technology that, especially in vertical farms, eliminates external conditions by increasing productivity, reducing costs and responding to production needs with adequate consumption of raw materials, boosting both environmental and social sustainability.

The study is original, as the current literature presents few empirical case studies on AI-supporting business models in agriculture. The study also favors valuable strategic implications for the policies to be adopted in favor of new business models in agriculture.

Luxury fashion brands have started differentiating their investment strategies and enlarging their sectors of activity, for instance, entering tourism. The overlay between traditional behaviors and innovative strategies has left a mark on the cities and neighborhoods. This chapter explores the spatial distribution of luxury tourism infrastructure in Milan. This transition does not affect only preeminent locations, such as monumental squares and high streets, but also places traditionally excluded from the “luxury circuits.” The location of 5-star hotels and premium tourism facilities in Milan (Michelin restaurants and spas) differ from the general tourism infrastructure. The study identifies polarization in the touristic offer and a parallel influence in the real estate market.

Digital inclusive finance has a positive promotion effect on the development of the national economy, but little research exists on how digital inclusive finance affects high-quality consumption in economically developed regions. Therefore, to fill the gap, this paper aims to study the impact of digital inclusive finance on high-quality consumption development using the economically developed regions of Jiangsu, Zhejiang and Shanghai as examples.

Firstly, the entropy method is used to construct the index of high-quality consumption among residents. Then, the municipal-level data of Jiangsu, Zhejiang and Shanghai from 2011 to 2020 are used to test the impact. Subsequently, the mechanism of action test and heterogeneity analysis are conducted.

The results show that digital inclusive finance has a positive role in promoting the high-quality consumption of residents in Jiangsu, Zhejiang and Shanghai. At the same time, digital inclusive finance can promote high-quality consumption through its own digital payment and internet insurance channels. There is regional heterogeneity in the impact.

To the best of the authors’ knowledge, this study is the first to examine whether and how digital inclusive finance affects high-quality consumption. The authors consider multiple dimensions, such as consumption level, consumption structure, consumption ability, consumption environment and consumption mode, to measure high-quality consumption. The findings provide valuable insights for policymakers, investors and regulators in planning regulations.

This research aims to specialise in the investigation of risk management for service-oriented manufacturing supply chains via two stages, highlighting its differences from manufacturing. The research article is commenced by executing an encyclopedic review of earlier research to ascertain the distinctive traits of service-oriented manufacturing supply chains and identify prevalent risks. Secondly, an empirical study in the construction field, amongst the industry hardest struck in the mist of the COVID-19 epidemic, is conducted to thoroughly inspect the resonant effect of these risks on service-oriented manufacturing supply chain performance.

In this study, to validate the resonant effect mechanism, a thorough assessment is undertaken by juxtaposing theoretical model to a newly constructed comparative model that encompasses the single effects of risks on supply chain performance.

63% variance of service-oriented manufacturing supply chain performance was showcased by the resonant effect model, compared with 46.3% in the comparative model. Moreover, each risk exerts a more glaringly significant impact on supply chain performance, asserting the mechanism of the resonant influence. Another noteworthy result involves the demand risk possessing a low effect on supply chain performance, thus emphasising the superiority of service-oriented manufacturing supply chains.

Future research endeavours should hinge on the optimal “resonant” model explosion, thereby foreseeing and alleviating worst-case scenarios to guarantee the robustness and resilience of supply chain networks.

Indubitably, reducing the intensity of the resonant effect revolves around lowering the coefficient of “a,” thereby restricting/eliminating the link among risks. Therefore, the suggested resonant impact model might thus serve as “a road map”. In light of the aforementioned considerations, it is advisable that supply chain executives employ supply chain management tactics namely avoidance, prediction, and postponement, but only after meticulous consideration the costs and benefits of adopting such strategies.

The service-oriented manufacturing supply chain features and advantages have been analysed and explained throughout the article. The data gathered during the COVID-19 pandemic is a captivating and topical point of this paper.