The rapid growth of deep learning has created unprecedented demand for computing resources, while many small and enterprise-level clusters remain underutilized. Computing resource exchange platforms offer a solution by aggregating these idle resources. However, effective cluster-task matching depends on accurate performance prediction. Existing approaches, which decouple prediction from matching, often lead to suboptimal decisions due to misaligned objectives. We propose a Matching-Focused Cluster Performance Predictor (MFCP), an end-to-end framework that integrates performance prediction with task matching to improve decision accuracy and resource utilization. Unlike existing methods that prioritize prediction accuracy, MFCP minimizes decision regret by aligning the predictor's loss with optimal matching objectives. To handle non-differentiable matching optimization, we use continuous relaxation and incorporate constraints via an interior-point method, ensuring meaningful gradients for training. For non-convex optimization, we approximate optimal decisions with gradient descent and estimate gradients using zeroth-order perturbation. Experiments show that MFCP consistently outperforms existing methods across different cluster environments and scales, achieving lower matching regret and higher resource utilization.

Given the rise of ethnic dining, managers need to enhance their competitive edge and attract consumers in innovative ways. Integrating service robots in ethnic restaurants offers novel experiences but raises concerns about maintaining perceived authenticity. To address this under-explored gap, this study leverages the heuristic-systematic model to examine the roles of service robot types and the influence of consumers’ attributions and technology expertise on their ethnic dining experiences, with perceived authenticity as a mediator. Through three studies involving 802 participants, findings reveal that social service robots (vs. functional service robots) significantly boost patronage intentions, particularly when restaurant motives are seen as firm-serving (vs. customer-serving) operations. Perceived authenticity mediates the relationship between robot type and patronage intentions, while technology expertise amplifies the preference for social service robots among knowledgeable customers. This research enhances the understanding of implementing service robots in ethnic restaurants, providing managerial insights into optimizing robot deployment and integration to improve customer experience.

Companies are under greater pressure than ever to charge higher prices to consumers, which could induce an increased perception of price unfairness. However, the role of production mode (handmade vs. machine-made) in the formation of this negative perception remains unclear. In this research, we examine the relationship between production mode and consumers' perceptions of price unfairness when price increases. We analyze this relationship by testing the serial mediating roles of perceived cost controllability and profit inference and the moderating roles of communication of pricing justification and perceived corporate social responsibility (CSR). We observe that consumers perceive price increases of machine-made products to be more unfair than those of handmade products because of the former's greater perceived cost controllability and greater profit inference. Furthermore, the effect of production mode on the perception of price unfairness is attenuated when firms actively reveal their reasons for price increases and disclose firms' socially responsible behavior.

Purpose This paper seeks to answer two questions: (1) where do a country's entrepreneurship policies come from? (2) How do they evolve and shape entrepreneurial activities? Design/methodology/approach Drawing upon the comparative political economy literature and the institutional perspective, this paper proposes a theoretical model of the origin and evolution of entrepreneurship policies. We use China as a case study to apply the theoretical model and demonstrate the evolution of entrepreneurship policies in three stages during the period 1978 to 2012. Findings The case analysis of China provides evidence and support for our theoretical model and unpacks the process by which entrepreneurship policies originate and evolve as the result of the interplay among constantly changing policymaking, production, and knowledge regimes. Research limitations/implications Because of the research context, findings may lack generalisability. Additional studies on policymaking and production regimes of different kinds and their respective roles in shaping entrepreneurship policies are encouraged to further advance this line of research. Practical implications This paper offers important implications concerning entrepreneurship policy and activities for policymakers, practitioners and other stakeholders in emerging economies. Originality/value Our study fills a gap in the entrepreneurship literature by expanding scholarly understanding of the origin and evolution of entrepreneurship policies.

Service robots as an example of service innovation has been of great interest to researchers as it could produce greater value-in-use for consumers during service encounters. However, the question of how and why service robots may affect consumers remains inadequately understood. Leveraging service-dominant logic and the heuristic-systematic model, Study 1 examines the impacts of service innovation types on brand equity and the moderating role of consumer expertise. Study 2 explores whether cognitive and emotional trust can bridge the underlying mechanism. We find that consumers with higher levels of service expertise rate firms with supportive innovation (vs. interactive innovation) higher in brand equity. On the other hand, service novices rate firms with both types of service innovation similarly. Emotional trust significantly mediates the effect mentioned above. In addition, consumers with high technology expertise will better recognize firms' service innovation efforts regardless of innovation type. Our findings extend the service innovation literature by demonstrating how individual-level factors such as consumer expertise help explain the relationships between various types of service robots and consumer response. Moreover, we reveal the importance for service brands to invest in different service robots based on target groups and build emotional trust with consumers.

The phenomenon of celebrity restaurants is prevalent nowadays; however, not all such restaurants are equally favored by consumers. Culture may play an important role in explaining to what extent they could succeed or fail. As such, this study examines the joint effect of celebrity endorsement and individuals’ power distance belief on consumers’ attitudes and purchasing intention toward restaurants. A 2 (Celebrity types: entertainer celebrity vs. celebrity chef) x 2 (Power distance belief: high vs. low) scenario-based quasi-experiment was conducted to examine the interaction effect empirically. Results indicated that consumers with a low level of power distance belief showed a more positive attitude and a stronger intent to purchase toward celebrity chef-owned restaurants. On the other hand, consumers with a high level of power distance belief exhibited a more positive attitude and a stronger purchase intention toward restaurants owned by entertainer celebrities. Theoretical and managerial implications are discussed.

Building upon social exchange theory and the current voice research, we posit that employee workplace "currencies of exchange" with the leader (i.e., social currency and work-related currency) are key predictors of employee promotive and prohibitive voice. Furthermore, we distinguish between the different roles of social currency and work-related currency in predicting promotive and prohibitive voice, respectively. More importantly, this study further explores the moderating effects of two important individual characteristics, psychological safety and power distance orientation, on the relationships between currencies and voice. We randomly sampled 598 Chinese employees via an online survey platform to test our hypotheses. Our results show that both social currency and work-related currency are determinants of promotive voice and prohibitive voice. Moreover, the boundary conditions for the two kinds of currencies are different. Specifically, employee psychological safety strengthens the influence of social currency on both types of employee voice, while employee power distance orientation could only amplify the relationship between work-related currency and promotive voice. Our research provides important implications for both theory and practice. Limitations and future directions are also discussed.