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This research aims to conduct a comprehensive conceptual model and empirical validation of the integration of negative (ego-centric) and positive (altruistic and ego-centric) drivers of green buying based on social dilemma theory and psychological egoism theory.

Data were collected using a self-administered questionnaire survey and analyzed with hierarchical regression analysis.

The results indicate that moral obligations, green self-identity, environmental concern and social pressure are positively related to green purchase intention, while perceived cost of green purchasing and price sensitivity are negatively. Meanwhile, social pressure positively moderates the relationship between price sensitivity and consumers' green purchasing intention, but negatively moderates the relationship between perceived cost of green purchasing and consumers' green purchasing intention.

First, this study is a comprehensive model of the concept and empirical validation of the integration of negative (ego-centric) and positive (altruistic and ego-centric) drivers of green buying. Specially, this study emphasizes the neglected importance of positive ego-centric factors of green consumer behavior. Second, this study explicitly incorporated the moderating effect of social pressure in the context of China. Since green buying is a social dilemma, the changes in this social dilemma after being affected by social pressure under the Chinese collectivist culture are also worth noting. Third, little is known about what motivates green consumption in emerging economies, and this has been hampered by a lack of cultural knowledge, conceptual richness and behavioral research that critically analyses consumer behavior.

The purpose of this paper is to observe consumers’ attitudes toward and intentions to purchase green products on social media and to explore the relationships among social media marketing, perceived consumer effectiveness (PCE), product knowledge, subjective norms, perceived behavioral control, price consciousness and attitudes toward and intentions to purchase green products. In addition, this research attempts to further understand these relationships in different consumer groups.

A questionnaire survey method was used to collect data from consumers in China. The Amos 22.0 software package was used to conduct the data analysis.

The empirical results suggest that attitude, subjective norms and perceived behavioral control positively affect purchase intentions, while price consciousness negatively affects purchase intentions. Product knowledge positively affects consumers’ attitudes and purchase intentions, and PCE positively affects consumers’ attitudes. As expected, social media marketing positively affects subjective norms, product knowledge and PCE and negatively affects price consciousness. However, there is no significant relationship between PCE and purchase intentions. According to the results of multigroup structural equation modeling analysis, the effects differ significantly among different consumer groups.

This study enriches the research about the factors that influence consumers’ purchases of green products in emerging countries in the social media marketing context.

This paper aims to explore the mediating role of organizational entrepreneurial capability in the link between entrepreneurs’ effectuation and new venture performance, and whether entrepreneurs’ passion positively moderates this relationship in the Chinese emerging economy.

This study collected survey data from 140 Chinese new ventures. Following an empirical design, hierarchical regression analysis and bootstrapping analysis were applied to examine six hypotheses.

Results reveal that organizational entrepreneurial capability plays a positively mediating role in the association between entrepreneurs’ effectuation and new venture performance. Moreover, the whole mediation model is positively moderated by entrepreneurs’ passion, not only the association but also between entrepreneurs’ effectuation and organizational entrepreneurial capability.

The study is limited to the static relationships between key variables using the data obtained at one point in an emerging economy, which cannot investigate the dynamic evolution between variables. More longitudinal designs or cases to track the dynamic association should be considered.

The findings provide useful suggestions for entrepreneurs to enhance their effectual logic and entrepreneurs’ passion to better perceive and exploit opportunities and further improve new venture performance. The results also provide guidance for other groups, such as angel investors and policymakers, regarding how to use effectuation logic as an evaluation criterion to judge whether a new venture or program has investment potential.

These findings enrich the effectuation theory by providing the empirical evidence of the effect of entrepreneurs’ effectuation on new venture performance in an emerging economy. They also provide deeper insights into opportunity research by uncovering the mediating role of organizational entrepreneurial capability in the relationship between entrepreneurs’ effectuation and new venture performance.

Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.

By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.

The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.

While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.

The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.

Live streaming commerce becomes increasingly popular, and some special shopping behaviors existing in traditional e-commerce also emerge in this new context. The current research mainly focuses on determinants of compulsive buying in live streaming commerce by taking fear of missing out (FOMO) and social influence into account.

Using the data collected from 242 experienced consumers in live streaming commerce, the proposed model was empirically assessed by partial least squares based structural equation model.

The results show that both informational and normative social influences have positive effects on FOMO, which in turn exert an influence on compulsive buying. In addition, informational social influence also directly and positively affects compulsive buying.

This study provides a deeper understanding of FOMO and social influence in the process of compulsive buying. It offers a new avenue to analyze the mechanism regarding why compulsive buying occurs in live streaming commerce.

Wage reform is an important aspect of Chinese economic reform. The success of wage reform is likely to depend upon the following understanding: Neither use of the efficiency‐oriented market wage system nor use of the equity‐oriented planned wage system can solve the dual problem of economic growth and income distribution. A synergy of the two systems will therefore be needed. Such a synergetic wage system, which simultaneously solves the dual problem of production and distribution, can expedite the rise of social productivity – the fundamental mission in the preliminary stage of Chinese socialism. In other words, wages should be differentiated, and the differences should be related to workers′ effort and society′s demand for them. These differences, however, need not be very large.

Purpose – The purpose of this study was to explore Chinese consumers’ motivations for purchasing luxury products, and to unravel the interrelationships among individual differences, motives, and luxury consumption.

Methodology – Data were collected from general consumers living in a large cosmopolitan city of China. A total of 473 questionnaires provided usable data and were analyzed using SPSS.

Findings – Eight motives were identified: self-actualization, product quality, social comparison, others’ influence, investment for future, gifting, special occasions, and emotional purchasing. Results showed that personal income, age, the motives of gifting, others’ influence, and product quality were significant predictors of luxury spending. Younger consumers, who did not typically make plans before buying, were more likely to buy luxury products out of emotion and less likely to do so for self-actualization or future investment.

Research limitations – The conceptualization and operationalization of some concepts used in this study (e.g., luxury brands, luxury consumption, and motives) may not be robust. Social desirability bias could comprise the validity of some research findings.

Originality – Despite a large body of research on luxury consumption, to date, most studies have been conducted in Western developed countries. Past research has showed that the symbolic and social values related to luxury consumption are deeply embedded in culture. As such, it is meaningful to investigate luxury consumption in China, whose culture is vastly different from the West.

Climate change is most apparent through the increased severity and frequency of extreme events. Tourism as an activity is particularly sensitive. This paper aims to investigate the impact that climate change has on Xiamen tourism through a fuzzy comprehensive evaluation of questionnaire responses.

A fuzzy classification system of tourism factors most sensitive to climate change was built on the basis of an analytical hierarchical process.

A “relatively strong” association grade of the impacts of climate change on tourism was observed. Through fuzzy comprehensive evaluation, the method used has allowed for clear classification of the aspects of tourism, through its development, which are more vulnerable to climate change. The results acquired here can serve as reference material for stakeholders on implementing risk assessments, deepening the understanding of how climate change affects tourism and coordinate the interests of different parties through the achievement of focused development and realize the optimum, long-term and sustainable exploitation of tourism resources.

The sensitivity of a variety of tourist sectors within Xiamen was assessed and represents the newest pre-COVID-19 opinions concerning the effect of climate change on tourism. Additionally, the data used in this study was also collected before the outbreak of the COVID-19 pandemic and will serve as an important marker to track how expert opinions of the effects of climate change on tourism change over time.

There are many farmers in rural Ethiopia, who do not join cooperative societies, despite the different technical and financial supports from the government. This study thus aims to investigate the main factors that inspire rural people to join into the cooperatives.

The study collected relevant primary data from 400 sample households using a special household survey designed for this study. The study also reviewed different secondary materials. The collected data were analyzed using the two-sample t-test principle and cooperative participation probit model.

The finding of the binary choice model illustrates that information access, special skill, membership in rural association, frequency of attending a public meeting/workshop, household head education, credit access, training access, number of family members in school, distance to main market, availability of infrastructures, farmland ownership and farmland sizes are the major explanatory variables that have statistically significant (p-value <0.05) influence on the rural people joining in the cooperative societies in the study areas.

This study was based on a cross-sectional survey. As a result, the finding may be subjected to some limitations though the study made all possible efforts to minimize the limitations.

Many studies found that cooperatives are a basis for food security. Accordingly, the government can increase a number of cooperative societies in the region by giving more focus to knowledge- and awareness-based instruments like education, information center, rural associations, communication services and roads. These campaigns can attract more people to join the cooperatives and then get the different economic and social advantages from the cooperatives in order to ensure household food security.

Some studies found that state, leadership, success history of the cooperative and autonomous status are the most important factors that determine not only the expansion of cooperatives in terms of a number of and types but also for the success of the cooperatives. This study, however, found the importance of information- and knowledge-based mechanisms as a basis to attract more people so that increase in a number of and types of the cooperative societies. Thus, the result of the study is significant for policy makers, social science students, researchers and cooperative societies.

The purpose of this paper is to deal with the ill‐conditioned problem for the non‐equigap GM(1,1) control model by using the method of multiple transformations.

Owing to noises and interferences from both inside and outside of the system, many control systems contain unequal intervals and sharp variation which may result in undesirable systems instability. In order to ensure the stability and efficiency of grey forecasting control model, the data transformation for a raw series is an important and useful method for enhancing accuracy and improving ill‐condition of the non‐equigap GM(1,1) model.

This paper discusses the quantitative relations between the multiple transformation and the parameters of the non‐equigap GM(1,1) model in detail, and studies the effect of the multiple transformation on the condition number of the non‐equigap GM(1,1) model.

Accessibility and availability of data are the main limitations based on which model will be applied.

Choosing an appropriate multiple of transformation cannot only eliminate dimension, lessen computation and maintain high accuracy, but also largely reduce the condition number of the model and improve the ill‐condition of non‐equigap GM(1,1) model effectively.

This paper seems to be the first to discuss the stability problems for the non‐equigap GM(1,1) model.