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This paper aims to present a hybrid machine learning algorithm for additive manufacturing (AM) design feature recommendation during the conceptual design phase.

In the proposed hybrid machine learning algorithm, hierarchical clustering is performed on coded AM design features and target components, resulting in a dendrogram. Existing industrial application examples are used to train a supervised classifier that determines the final sub-cluster within the dendrogram containing the recommended AM design features.

Through a case study of designing additive manufactured R/C car components, the proposed hybrid machine learning method was proven useful in providing feasible conceptual design solutions for inexperienced designers by recommending appropriate AM design features.

The proposed method helps inexperienced designers who are newly exposed to AM capabilities explore and utilize AM design knowledge computationally.

This research aims to explore the mechanisms and conditions that motivate diners to engage in foodstagramming. It focuses on intrinsic versus extrinsic motivations, and the role of the dining environment in facilitating social connection and social commerce intention.

Two scenario-based experiments were conducted among Chinese participants. Experiment 1 (n = 219) used a one-factor between-subjects design to test the effect of foodstagramming incentives (intrinsic vs extrinsic) on social commerce intention. Experiment 2 (n = 529) used a 2 (foodstagramming incentive: extrinsic vs intrinsic) × 2 (environmental attractiveness: low vs high) between-subjects design to examine the mediation of social connection and the moderation of environmental attractiveness.

Intrinsic incentives more effectively enhance tourists’ social commerce intention than extrinsic incentives. The attractiveness of the dining environment moderates this relationship. Extrinsic incentives significantly boost social commerce intention and social connection in low-attractiveness environments, but not in high-attractiveness environments. Social connection serves as a conditional mediator.

Restaurant managers should prioritize superior service and culinary offerings, and invest in appealing dining environments to encourage tourists to share their dining experiences, leveraging word-of-mouth promotions. In less attractive settings, external incentives like coupons or discounts can promote food selfie-taking and sharing, driving social commerce intention.

This study offers new insights into foodstagramming motivations, highlighting the effectiveness of economic incentives and the role of the service environment in influencing social commerce behaviors. It expands the literature on service environments by explaining their effect on tourists’ sharing, commenting, liking and repurchasing behaviors.

本研究探讨了激励食客进行“美食打卡”行为的机制与条件, 重点分析了内在与外在激励, 以及用餐环境在促进社交联系和社交商务意图中的作用。

研究基于两个场景实验, 实验对象为中国参与者。实验1（n = 219）采用单因素组间设计, 以测试美食打卡激励（内在 vs. 外在）对社交商务意图的影响。实验2（n = 529）采用2（美食打卡激励：外在 vs. 内在）× 2（环境吸引力：低 vs. 高）的组间设计, 考察了社交联系的中介作用以及环境吸引力的调节作用。

内在激励比外在激励更有效地提升游客的社交商务意图。餐饮环境的吸引力对该关系具有调节作用。在低吸引力环境中, 外在激励显著增强了社交商务意图和社交联系, 而在高吸引力环境中则不然。社交联系作为一个有条件的中介发挥作用。

餐厅经理应优先提供优质服务和高水平餐饮, 同时投资于吸引人的用餐环境, 以鼓励游客分享他们的用餐体验, 借此促进口碑传播。在吸引力较低的环境中, 优惠券或折扣等外在激励可以有效促进美食自拍和分享行为, 进而推动社交商务意图。

本研究为美食打卡动机提供了新见解, 突显了经济激励的效果以及服务环境在社交商务行为中的作用。研究扩展了关于服务环境的文献, 阐释了其对游客分享、评论、点赞和复购行为的影响。

Esta investigación explora los mecanismos y condiciones que motivan a los comensales a participar en foodstagramming. Se centra en las motivaciones intrínsecas frente a las extrínsecas, así como en el papel del entorno gastronómico para facilitar la conexión social y la intención de comercio social.

Se realizaron dos experimentos basados en escenarios con participantes chinos. En el Experimento 1 (n = 219) se utilizó un diseño de un factor entre sujetos para comprobar el efecto de los incentivos de foodstagramming (intrínsecos vs. extrínsecos) en la intención de comercio social. En el Experimento 2 (n = 529) se empleó un diseño 2 (incentivo de foodstagramming: extrínseco vs. intrínseco) × 2 (atractivo del entorno: bajo vs. alto) entre sujetos para examinar la mediación de la conexión social y la moderación del atractivo del entorno.

Los incentivos intrínsecos mejoran de manera más efectiva la intención de comercio social de los turistas que los incentivos extrínsecos. El atractivo del entorno gastronómico modera esta relación. Los incentivos extrínsecos incrementan significativamente la intención de comercio social y la conexión social en entornos poco atractivos, pero no en entornos muy atractivos. La conexión social actúa como un mediador condicional.

Los gerentes de restaurantes deben dar prioridad a un servicio y una oferta culinaria superiores, e invertir en entornos gastronómicos atractivos para animar a los turistas a compartir sus experiencias gastronómicas, aprovechando la promoción boca a boca. En entornos menos atractivos, los incentivos externos, como cupones o descuentos, pueden animar a los clientes a hacerse selfies y compartirlos, impulsando así la intención de comercio social.

Este estudio ofrece nuevos conocimientos sobre las motivaciones para el foodstagramming, destacando la eficacia de los incentivos económicos y el papel del entorno del servicio en la influencia sobre los comportamientos de comercio social. Amplía la literatura sobre entornos de servicio explicando su efecto en los comportamientos de los turistas de compartir, comentar, dar “me gusta” y realizar compras repetidas.

This study aims to examine how job satisfaction (JS) affects two types of knowledge sharing (KS), in-role KS and extra-role KS. It also investigates the mediating effect of knowledge sharing self-efficacy (KSSE) and the moderating effect of team collaborative culture (TCC) between JS and two types of KS.

This study applies attribution theory to develop a cross-level model and validate it through paired data collected from 322 information technology professionals nested within 80 teams. Hierarchical linear modeling is used to test the hypotheses.

JS positively influences in-role and extra-role KS via KSSE and TCC positively moderates the relationship between JS and extra-role KS.

This study is one of the first to investigate the mechanism underlying the influence of JS on two types of KS. It also identifies the mediating and moderating effects of this mechanism.

This study aims to analyze online responses to gain insights into public attitudes and concerns regarding traditional Chinese medicine (TCM) among Hong Kong residents. By addressing gaps in understanding public sentiment, this study contributes to the development of effective health-care policies.

Responses were collected from Baby-Kingdom.com using Python, gathering 17,568 TCM-related comments from 2016 to 2023. Analysis involved an eight-theme codebook and sentiment and semantic network analyses with DiVoMiner.

Most responses expressed positive sentiments and attitudes toward TCM. The analysis revealed recurring topics related to conditioning and specific diseases, including gynecological problems. Clinic service quality, fair pricing and convenient locations were also highlighted.

This study examines the networked public sphere and the Theory of Planned Behavior regarding TCM, emphasizing online forums’ impact on attitudes and highlighting gaps in service access, using big data and an interdisciplinary approach.

The findings of this study from Baby-Kingdom.com emphasize the need to improve the accessibility of TCM-related discussions. An official platform for professionals is proposed, with government support for reliable information and partnerships with local universities to expand services.

This study provides valuable insights into the popularity of TCM in Hong Kong, which may encourage uptake and use of TCM services in the health-care sector in not only Hong Kong but also the Greater Bay Area, China and potentially other countries in the future.

This study aims to address the challenge of the real-time state of charge (SOC) estimation for lithium-ion batteries in robotic systems, which is critical for monitoring remaining battery power, planning task execution, conserving energy and extending battery lifespan.

The authors introduced an optimal observer based on adaptive dynamic programming for online SOC estimation, leveraging a second-order resistor–capacitor model for the battery. The model parameters were determined by fitting an exponential function to the voltage response from pulse current discharges, and the observer's effectiveness was verified through extensive experimentation.

The proposed optimal observer demonstrated significant improvements in SOC estimation accuracy, robustness and real-time performance, outperforming traditional methods by minimizing estimation errors and eliminating the need for iterative steps in the adaptive critic and actor updates.

This study contributes a novel approach to SOC estimation using an optimal observer that optimizes the observer design by minimizing estimation errors. This method enhances the robustness of SOC estimation against observation errors and uncertainties in battery behavior, representing a significant advancement in battery management technology for robotic applications.

It has been ten years since the policy was implemented, but the effect of the policy needs to be tested empirically. This paper aims to explore the mechanism of policy influence on regional innovation ability by measuring the effectiveness of policy by innovation ability indicators. Further, it reflects the problems in the process of the transformation and development of resource-based cities in recent years and points out the direction for the development of the cities in the future. In addition, this paper discusses the differences between regions and cities in China and seeks the path to narrow the gap.

This paper mainly uses the difference-in-difference method for the research. This study divided China’s resource-based cities and non-resource-based cities into experimental groups and control groups, and explored the effect of the transformation and development of resource-based cities and the changes of their innovation ability under the influence of the National Sustainable Development Plan for Resource-based Cities (NSDPRC). More carefully, this paper uses the fixed effects regression model, propensity score matching method, bootstrap method and other methods to improve the empirical results.

This paper finds that NSDPRC significantly improves the innovation ability of resource-based cities, although there is some lag in this effect. Research on the influence mechanism of policies shows that NSDPRC improves the marketization degree of resource-based cities and reduces the proportion of the secondary industry in such cities. Finally, the results of the heterogeneity analysis confirm that policies are more popular in western China and that resource-based cities in growth, maturity and decline are more vulnerable to policy influence. The development of policy effectiveness also requires the size of a city, and maintaining a healthy and reasonable scale is necessary for urban development.

First, the existing research on the development of resource-based cities is mainly from the perspective of economy and environment, but rarely from the perspective of innovation ability, and the index to measure urban development is relatively single. This paper will compensate for this deficiency. Second, different from the European and American countries that have basically completed the industrial transformation, the research on Chinese cities will provide a reference for the transformation of developing countries. Finally, from the perspective of resource endowment theory and innovation theory, this paper discusses the influence of SDPNRBC mechanism on the innovation ability improvement of resource-based cities, and further improves and enriches the theory.