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The purpose of this paper is to study some evolving mechanisms for producing weighted networks, as well as to analyze the statistical properties of the networks.

A simple one‐parameter evolution model of weighted networks is proposed, in which the topological growth combines with the variation of weights. Based on weight‐driven dynamics, the model can generate scale‐free distributions of the degree, node strength and edge weight, as confirmed in many real networks.

The exponent of the edge weight can be widely tuned. The unique parameter p controls the edge weight dynamical growth. The authors also obtain the non‐trivial weighted clustering coefficient and the weighted average to the nearest neighbors' degree.

Accessibility and availability of data are the main limitations which apply to the figures.

The new evolving networks method may be beneficial for understanding real networks.

The paper proposes a new approach of explaining the evolving mechanisms of the real networks.

In this research, the authors aim to investigate the impact of product display quantity on consumers' online purchase intention through the diminished pain of payment, in light of signaling theory and mental accounting theory. Additionally, the authors test the role of price in this psychological mechanism.

The authors use a combination of online studies and field experiments to test our predictions. Four online studies are conducted to test the main effect of product display quantity on purchase intention (Studies 1A and 1B), the mediating effect of the diminished pain of payment (Study 2), and the moderating role of price (Study 3). Two field experiments are conducted to strengthen the robustness of our findings.

The findings suggest that product display quantity has a significantly positive impact on purchase intention, mediated by the diminished pain of payment, and this effect is moderated by price.

This is the first study to investigate the effect of product display quantity on online purchase intention. This research advances the discussion of product display quantity, which provides retailers and consumers with a convenient way to communicate with each other and leads to a more relaxed purchase experience.

This paper aims to demonstrate how customer knowledge management (CKM) can assist destination management organizations (DMOs) in the smart management of the tourist experience to contribute to the creation of smart solutions and the promotion of smart tourism destinations (STDs). To accomplish it, a CKM conceptual framework aligned with smart tourism and composed of eight processes is developed to guide managers in this management.

This research adopts the design science research methodology and applies its steps. It was supported by a systematic integrative literature review on CKM models and frameworks and their main elements, as well as by semi-structured interviews with tourism specialists in the context of Santa Catarina, Brazil.

From the literature it appears that tourist experiences are customer knowledge essential to the improvement and innovation of tourism products and services, and that CKM, still little explored in this scenario, tends to contribute to the management of this crucial knowledge for smart tourism. The analyses and improvements to the structure developed by specialists show its applicability and contributions to the management of STD experiences.

This paper offers an original contribution to the integration of the theoretical constructs of CKM, tourist experience and STDs by showing how the CKM, from tourism experiences, technologies and social networks, can assist DMOs in the management of experiences and promotion of STDs.

The purpose of this study is to investigate the deposition of SS–Al transitional wall using the wire arc directed energy deposition (WA-DED) process with a Cu interlayer. This study also aims to analyse the metallographic properties of the SS–Cu and Al–Cu interfaces and their mechanical properties.

The study used transitional deposition of SS–Al material over each other by incorporating Cu as interlayer between the two. The scanning electron microscope analysis, energy dispersive X-ray analysis, X-ray diffractometer analysis, tensile testing and micro-hardness measurement were performed to investigate the interface characteristics and mechanical properties of the SS–Al transitional wall.

The study discovered that the WA-DED process with a Cu interlayer worked well for the deposition of SS–Al transitional walls. The formation of solid solutions of Fe–Cu and Fe–Si was observed at the SS–Cu interface rather than intermetallic compounds (IMCs), according to the metallographic analysis. On the other hand, three different IMCs were formed at the Al–Cu interface, namely, Al–Cu, Al₂Cu and Al₄Cu₉. The study also observed the formation of a lamellar structure of Al and Al₂Cu at the hypereutectic phase. The mechanical testing revealed that the Al–Cu interface failed without significant deformation, i.e. < 4.73%, indicating the brittleness of the interface.

The study identified the formation of HCP–Fe at the SS–Cu interface, which has not been previously reported in additive manufacturing literature. Furthermore, the study observed the formation of a lamellar structure of Al and Al2Cu phase at the hypereutectic phase, which has not been previously reported in SS–Al transitional wall deposition.