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Fresh products' homogeneity makes it difficult for grocery stores to differentiate themselves by improving product or service quality. This study analysed grocery store loyalty from the perspective of self-congruence and compared the relative importance of affective attachment and lifestyle matching, which acts as a mediating mechanism in influencing customer loyalty.

Individuals in Shanghai, Guangzhou, Chengdu, Beijing and Xi'an; representative cities of China's east, south, west, north and central regions, responded to questionnaires. Altogether, 282 valid responses were obtained; structural equation modelling (SEM) was used to test the hypotheses.

The findings show that lifestyle congruence has a greater mediating effect than emotional attachment in the relationship between store-self congruence and grocery store loyalty. Furthermore, social self-congruence was the dominant dimension of store-self congruence that affects grocery store loyalty.

The first important academic contribution of this study is the provision of knowledge on the issue of whether to focus on generating grocery store loyalty via the mediating effect of emotional attachment or lifestyle congruence. Furthermore, the empirical findings further clarify the boundary of brand attachment theory, demonstrating the limitation of this theory in explaining the mediating mechanism for self-congruence on loyalty in a context that sells low-involvement products in a collectivistic culture. Another academic contribution focuses on the examination of dominant dimensions of self-congruence.

This study provides a new strategy for grocery store managers to avoid the trap of homogeneous competition, namely, to clearly define consumers' social rather than personal identity. Additionally, grocery stores should focus on matching their image with target customers' lifestyles when building customer loyalty.

This study's findings also shed light on public policy. Some implications could be increasing the layout rationality of retail commercial outlets to facilitate the interaction between grocery stores and community consumers and promoting the matching of grocery stores and consumer lifestyles. Such policies may boost grocery sales, which in turn would boost farmers' incomes.

Compared to previous studies, this study analysed the customer loyalty of grocery stores from the perspective of self-congruence, analysed the mechanisms by which self-congruence influences customer loyalty via the mediating effects of emotional attachment and lifestyle congruence and compared the relative significance of these two paths. Furthermore, this study clarified the relative importance of self-congruence dimensions in influencing grocery store loyalty.

To investigate the impact of cognition, emotion and other factors on positive customer engagement behaviors and to identify the differential formation processes and dynamic changes in these behaviors.

We used cognitive appraisals and coping theory as well as justice theory, to analyze comment data from the Xiaomi Community with natural language processing and binary logistic regression.

Our results indicate that cognition and emotion are unnecessary for positive customer engagement. Users expressing different cognitions and emotions exhibit varied positive engagement behaviors. The behavioral dimension was the most frequently combined, followed by the affective and cognitive dimensions. Managers should adopt material or spiritual incentives to encourage users with positive emotions and cognition to become loyal. Additionally, addressing comments with distributive justice cognition can promote positive customer engagement.

This study clarifies the complex interplay between cognition, emotion and customer engagement behaviors, providing actionable insights for brand managers to foster customer loyalty and positive customer engagement.

The purpose of this paper is to examine the impact of off-farm income on food expenditure, using survey data of 493 rural households from Gansu, Henan and Shandong provinces in China.

A two-stage least squares estimator is used to jointly estimate the determinants of off-farm income and the direct impact of off-farm income on food expenditure while controlling for the endogeneity issue associated with off-farm income variable.

The empirical results show that gender, education of household head, household size, farm size, the presence of children, smartphone use and asset ownership mainly determine off-farm income, and the off-farm income affects food expenditure of rural households significantly. In particular, the results show that a 1,000 yuan increase in per capita off-farm income increases per capita food expenditure by 61 yuan. Further estimations reveal that off-farm income has a larger effect on food expenditure of high-income rural households relative to their low-income counterparts.

Although poverty implications of off-farm income have been well documented, few studies have analysed the effects of off-farm income on food expenditure of rural households. To the best of the authors’ knowledge, there are no studies on this issue that focus on rural China. Therefore, the present study attempts to provide a first insight into the association between off-farm income and food expenditure of rural households in China, with the aim of providing useful evidence for policymakers in their efforts to reduce rural and urban food consumption gap and further increase social welfare.

The purpose of this paper is to examine the impact of two typical relationship management approaches (trust relationship with suppliers and reciprocity) on manufacturer resilience in the context of the COVID-19 crisis. Moreover, this paper aims to deepen the understanding of environmental uncertainty's moderating effect on the association between the trust relationship with suppliers (TRS) and reciprocity.

Structural equation modeling has been used to test the hypotheses on 361 Chinese manufacturing firms' managers and independent directors during the COVID-19 crisis.

The results reveal that reciprocity positively enhances three dimensions of manufacturer resilience, namely, preparedness, responsiveness and recovery capability. Reciprocity positively mediates the relationships between TRS and preparedness, responsiveness and recovery capability. Moreover, environmental uncertainty moderates the association between TRS and reciprocity.

This study highlights the critical role of reciprocity, the relational governance approach, in enhancing manufacturer resilience in practice. This paper suggests that during emergencies such as the COVID-19 pandemic, managers should adopt trust and reciprocity in supplier relationship governance to strengthen the resilience of manufacturing companies and adapt effective strategies according to the environment.

This study is unique in developing new scales of manufacturer resilience through interviews and surveys with Chinese manufacturers and theoretical research. Based on the social capital theory and social exchange theory, this study shed light on the role of trust and reciprocity. It also bridges relational governance theory with the literature on manufacturing firm resilience literature to help manufacturers better understand the transdisciplinary links between relationship management and resilient operations in emergencies.

In order to accurately forecast nonlinear and complex characteristics of solar power generation in China, a novel discrete grey model with time-delayed power term (abbreviated as TDDGM(1,1,tα) is proposed in this paper.

Firstly, the time response function is deduced by using mathematical induction, which overcomes the defects of the traditional grey model. Then, the genetic algorithm is employed to determine the optimal nonlinear parameter to improve the flexibility and adaptability of the model. Finally, two real cases of installed solar capacity forecasting are given to verify the proposed model, showing its remarkable superiority over seven existing grey models.

Given the reliability and superiority of the model, the model TDDGM(1,1,tα) is applied to forecast the development trend of China's solar power generation in the coming years. The results show that the proposed model has higher prediction accuracy than the comparison models.

This paper provides a scientific and efficient method for forecasting solar power generation in China with nonlinear and complex characteristics. The forecast results can provide data support for government departments to formulate solar industry development policies.

The main contribution of this paper is to propose a novel discrete grey model with time-delayed power term, which can handle nonlinear and complex time series more effectively. In addition, the genetic algorithm is employed to search for optimal parameters, which improves the prediction accuracy of the model.

The suppliers of experimental resources required in megaprojects are driven by short-term interests, presuming that participation in the digital platform would only increase their inputs and fail to rapidly expand their revenue, resulting in their insufficient motivation to participate. This paper aims to design effective incentives for these suppliers exhibiting the aforementioned behaviour to drive them to participate and actively share their resources on the platform.

This paper develops incentives for applying the digital platform for experimental resource sharing by using a reverse induction approach to model and solve an incomplete information game. It compares the traditional experiment management mode and the new mode of applying the digital platform, taking the degree of sharing experimental resources on the platform as the variable and constructing three incentive models. By analysing these different degrees of sharing and the different experimental and informatisation capabilities of the suppliers, it could obtain the optimal incentive scheme for changes in sharing behaviour.

The results show that the designed incentives could increase the participation of suppliers in the platform and the number of their shared resources and make the benefits of both the supplier and the demand side reach the optimal state of a win-win situation. However, a higher degree of sharing by suppliers does not yield better results. In addition, the incentive coefficients for this degree should be set based on the suppliers’ different experimental and informatisation capabilities and the ratio of input cost-sharing, so as to avoid blind inputs from both supply and demand.

This study fills the research gap regarding incentives of the digital platform of experimental resource-sharing for megaprojects; it contributes to the body of knowledge by providing a quantitative perspective of understanding the experimental resource-sharing behaviour that motivates the usage of the digital platform. Furthermore, it reveals the incentive mechanism for application in different scenarios, and quantitative analysis is conducted to provide practical insights into promoting the new experiment management mode in megaprojects for more effective incentivisation.

As the complexity and uncertainty of megaprojects make it difficult for traditional management models to address the difficulties, this paper aims to design a performance incentive contract through IT applications, thereby promoting the formation of an information-based governance mechanism for megaprojects and facilitating the transformation and upgrading of the construction management model of megaprojects to informatisation.

This paper introduced IT applications into the performance assessment and used the proportion of IT applications replacing traditional manual management as a variable. It analysed different replacement ratios to obtain the optimal solution for the change of contractors behaviours and promote the optimal performance incentive for the informatisation in megaprojects.

The results show that under the condition of the optimal replacement ratio, achieving the optimal state of a mutual win-win situation is possible for the benefit of both sides. The counter-intuitive finding is that the greater the replacement ratio is not, the better, but those other constraints are also taken into account.

This study enriched the research of the performance configuration incentive from a practical perspective. It extended the research framework of IT incentive mechanisms in the governance of megaprojects from a management theory perspective. It clarified the role of IT applications in incentive mechanisms and the design process of optimal incentive contracts under different performance incentive states. The incentives made the contractors work harder to meet the owner's requirements, and it could improve the efficiency of megaprojects, thus better achieving megaproject objectives.

This study empirically investigates the impacts of technological innovation and operational efficiency on environmental performance and the moderating effects of environmental orientation.

We develop a conceptual framework based on the Porter Hypothesis. We collect a sample of 850 listed firms in China between 2010 and 2019. The fixed effect model was used to analyse the data.

The empirical findings reveal that technological innovation indirectly enhances environmental performance through operational efficiency and partially mediates this impact. We also find that environmental orientation strengthens the positive impacts of technological innovation and operational efficiency on environmental performance.

This study contributes to the literature by revealing that technological innovation is positively associated with operational efficiency and environmental performance, which suggests that technological innovation can simultaneously enhance business and environmental performance. Hence, this study provides empirical support for the Porter Hypothesis. The results also extend the Porter Hypothesis by revealing how technological innovation affects environmental performance and under what conditions technological innovation has a greater impact on environmental performance.

The purpose of this study is to investigate reporting incentives for accounting conservatism in the context of asset and equity tunnelling and to provide empirical evidence that accounting conservatism can be reported for opportunistic reasons rather than efficiency reasons.

A cross‐sectional analysis of data from the period 2002 to 2004 is conducted.

This study provides empirical evidence that firms undertaking asset or equity tunnelling transactions report higher conservatism than firms undertaking other kinds of connected transactions. Further tests document a positive association between accounting conservatism and the private benefits gained by controlling shareholders from asset and equity tunnelling.

Contrary to the prevalent view that accounting conservatism signifies better quality accounting and benefits financial statement users, this study shows that accounting conservatism is influenced by institutional factors and the incentives of financial statement preparers. Researchers should exercise caution in interpreting higher accounting conservatism as an indication of better accounting information quality, especially in cross‐country research involving different institutions.

This study investigated the influence of teachers on undergraduate students’ development of research aspirations and the mechanisms behind this process.

Employing social cognitive career theory, the study gathered data from 232 undergraduates, developed a structural equation model via the maximum likelihood method and executed empirical testing.

The findings reveal that neither direct nor emotional mentoring independently satisfies students’ needs for self-efficacy and aspiration in research nor significantly influences research interest. Specifically, the study demonstrates that (1) research self-efficacy, outcome expectations and research interest significantly shape research aspirations; (2) an overemphasis on direct mentoring might impede research aspiration development and (3) a focus on emotional mentoring, while overlooking direct mentoring, could result in diminished research self-efficacy.

This research pioneers a comprehensive analysis of the role of teachers in shaping undergraduate research aspirations through the lens of social cognitive career theory. It underscores the critical need to both balance mentoring approaches and foster intrinsic research motivation.