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1.
Within the theoretical field of ethical consumption, the study focuses on consumer behavior and innovative green death practices. While scarcely investigated in the marketing and consumer behavior research domains, at least four main reasons spur to consider the funeral industry as an interesting subject of enquiry: i) the sector boasts of a significant economic relevance; ii) it is extremely impactful from an environmental and social point of view; iii) it is witnessing interesting innovative processes in the direction of social and environmental sustainability; iv) consumer movements are rising all over the world asking for more sustainable death practices. Thus, adopting an augmented version of the theory of planned behavior (TPB), which includes individuals’ environmentally responsible consumption, and egoistic and altruistic environmental concern, the study investigates behavioral intention to adopt innovative green death practices (a green funeral) of people belonging to three different generations: X, Y, and Z. A purposive sample of 627 Italian people participated in an online the survey. Collected data were analyzed adopting an ordinal logit model. The results confirm the TPB predictive power also in the field of green funeral behavioral intention. Furthermore, environmentally responsible consumption and environmental concern – even though only in its altruistic component – positively influence behavioral intention, and generation exerts a moderating effect among the examined constructs. Overall, the research attempts to enrich the literature on ethical consumption by exploring the underinvestigated phenomenon of buying behavior of unsought and end-of-life products, that of green funerals, and provide managerial recommendations to funeral service sellers. 相似文献
2.
Predicting consumption behavior is very important for adjusting supplier production plans and enterprise marketing activities. Conventional statistical methods are unable to accurately predict green consumption behavior because it is characterized by multivariate nonlinear interactions. The paper proposes an optimized fruit fly algorithm (FOA) and extreme learning machine (ELM) model for consumption behavior prediction. First, to address the problem of uneven search direction of FOA leading to insufficient search ability and low efficiency, the paper proposes a sector search mechanism instead of a random search mechanism to improve the global search ability and convergence speed of FOA. Second, to address the issue that the initial weights and hidden layer bias values of the ELM are randomly generated, which affects the learning efficiency and generalization of the ELM, the paper uses an improved FOA to optimize the weights and bias values of ELM for improving the prediction accuracy. Taking the green vegetable consumption behavior of Beijing residents as an example, the results show the optimization of the initial weight and threshold of ELM by the GA, PSO, FOA, and SFOA, the prediction accuracy of the GA-ELM, PSO-ELM, FOA-ELM, and SFOA-ELM models all surpass those of ELM. Compared with BPNN, GRNN, ELM, GA-ELM, PSO-ELM, and FOA-ELM models, the RMSE value of SFOA-ELM was decreased by 9.45%, 8.40%, 11.89%, 5.84%, 2.22%, and 2.69%, respectively. These findings demonstrate the effectiveness of the SFOA-ELM model in green consumption behavior prediction and provide new ideas for the accurate prediction of consumption behaviors of other green products with similar characteristics. 相似文献
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4.
The drivers of the prices of Bitcoin and Ethereum are studied within a framework based on Cagan’s model of hyperinflation. In the model, the prices of the cryptocurrencies are driven by stochastic adoption and velocity shocks as well as endogenous expectations of future prices. The model is estimated with data for prices, transaction volumes, and money supplies. A majority of price fluctuations in both currencies can be attributed to shocks in adoption, velocity shocks are much less important. The money demand sensitivity to expected price changes is estimated to be larger for Bitcoin than for Ethereum, and both have higher sensitivity than fiat currencies during episodes of hyperinflation. 相似文献
5.
Assessing potential tourists' perceptions is vital to build a destination image and brand capable to attract new and repeated visitors. The increasing popularity of craft beverage tourism in recent years is incentivizing destinations to (re)design their offerings and (re)brand their image based on their craft beverages. This study investigated how the image of an emerging craft beverage tourism destination (Ica, Peru) is formed among potential tourists by inducing cognitive image (knowledge presented through picture-text dyads) of Ica's iconic resources, staple craft beverage (pisco), and resources associated with its production. Additionally, it measured the impact of local resources' characteristics, affective image, and personal characteristics on conative image (interest to visit and willingness to recommend) at different intervention stages. Results indicate that pisco-related resources are powerful enough to motivate travel, and that the characteristics of a mix of resources should be combined with beverage-specific information when developing branding strategies for craft beverage tourism destinations. 相似文献
6.
Nowadays, industrial firms are very much careful to build a green environment by reducing carbon emissions. The government imposes some rules and regulations to provide a better eco-friendly environment. In this study, the cap-and-trade mechanism has been considered in a production model to control the carbon emissions rate. The manufacturers invest in advanced green technology to reduce per unit emissions. As online and offline selling is crucial to any industry for increasing customer demand, the manufacturers sell their products by dual-channel and advertise their products by online channel to make more popular of their products. Keeping these in mind, a sustainable flexible production model with single-type substitutable product production is considered here by imposing a cap-and-tax policy, investing in green technology, and advertising for products. This model is divided into two cases: with and without investment in green technology. The demand of each manufacturer depends upon an online selling price, an offline selling price, and an online advertisement of the product. A classical optimization technique helps to get the optimum strategies for the online selling price, offline selling price, advertisement investment, green technology, cycle time, and production rate. From the numerical study, it is proved that the industry gets 6.97% more profit in the case of green technology investment and the proposed study gives 5.74% more profit than the traditional production system. Sensitivity analysis and managerial insights are performed. 相似文献
7.
Plastic pollution is a global environmental crisis that poses a huge threat to the health of people and marine ecosystems worldwide. A significant source of plastic pollution is menstrual hygiene management, and an approach that can help address this crisis is the usage of washable and reusable menstrual cups. Using an extended theory of planned behavior model that includes self-identity and perceived quality, the study predicted intentions to use menstrual cups in the Philippines. Structural equation modeling results showed that perceived quality predicted attitudes towards menstrual cup usage. Moreover, attitudes, perceived behavioral control, and self-identity predicted intentions to use menstrual cups. There were also some differences in the factors and predictors of intentions between non-users and regular users of menstrual cups. Among regular users, perceived behavioral control did not predict intentions. These findings provide empirical support for the extended model, and provides insights for governments, non-government organizations, and corporations in promoting the usage of menstrual cups to address the global plastic pollution crisis. 相似文献
8.
Based on how tourists interpret the destination experience and on attachment theory, this study investigates the influencing mechanism of tourists' happiness on revisit intention for traditional Chinese medicine (TCM) cultural tourism destinations. Three tourist samples confirm the three dimensions of tourists' happiness: positive emotions, engagement, and meaning. Two surveys were conducted to test the direct and indirect influence of tourists' happiness on revisit intention and the moderating role of tourists' health consciousness. The results show that tourists' happiness promotes memorable tourism experience and place attachment, in turn stimulating revisit intention. The results also support health consciousness as a significant moderator between happiness, place attachment, and revisit intention. The findings enrich theoretical understanding of tourists’ happiness and provide marketing and management advice for TCM cultural tourism destinations. 相似文献
9.
Building on the idea that luxury products can signal the owner's status to others, this research elucidates how fundamental and pervasive social factors—power distance belief (PDB), self-construal, and relationship norms—dynamically impact consumers' preferences for conspicuous consumption. Through three experiments, we found that (1) high-PDB consumers are more likely to prefer conspicuous consumption compared to low-PDB consumers, and this effect is mediated by their need for status; (2) the relationship between PDB and conspicuous consumption is enhanced under interdependent self-construal, attenuated under independent self-construal, and mediated by consumers' need for status; (3) these effects are moderated by relationship norms, such that the positive effect of PDB on conspicuous consumption under interdependent self-construal is attenuated when communal relationships (vs. exchange relationships) are salient. Our conceptualization and findings contribute to the literature on the dynamics of individuals' status-related behavior in social psychology and related fields, and provide important practical applications for luxury businesses. 相似文献
10.
《International Journal of Forecasting》2022,38(4):1400-1404
This work presents key insights on the model development strategies used in our cross-learning-based retail demand forecast framework. The proposed framework outperforms state-of-the-art univariate models in the time series forecasting literature. It has achieved 17th position in the accuracy track of the M5 forecasting competition, which is among the top 1% of solutions. 相似文献