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Homeownership for younger generations is exacerbated by the deterioration in affordability worldwide. As a result, the role of parental support in facilitating homeownership requires attention. This study aims to assess the influence of parental wealth and housing tenure as support mechanisms to facilitate homeownership for their children.

This study uses data from a representative survey of the New Zealand population.

Parents who are homeowners tend to offer more financial support to their children than those who rent. Additionally, the financial support increases when parents have investment housing as well. The results further reveal differences in financial support when considering one-child and multi-child families. The intergenerational transmission of wealth inequality appears to be more noticeable in multi-child families, where parental housing tenure plays a dominant role in determining the level of financial support provided to offspring.

The insights gained serve as a basis for refining housing policies to better account for these family transfers and promote equitable access to homeownership.

This paper aims to define intergenerational housing support and assesses and synthesizes the existing literature on intergenerational support for housing to identify trends and possible areas for future research.

The methodology employed in this paper is a systematic literature review. A total of 32 articles were chosen for assessment. Upon thorough review, summary and synthesis, general trends and three specific themes were identified.

The review of 32 papers found that intergenerational support is a crucial strategy to help younger generations achieve homeownership. However, it also highlights the potential for social inequity resulting from unequal distribution of housing resources within families, especially regarding housing. Several potential gaps in the current research are identified, including the need for explicit attention to the provider's intention, exploration into the size and form of financial support for housing, understanding how parental housing resources differ in their transfer behaviors, and examining how parental motivations influence them to provide housing support.

This paper provides recommendations for further research on the topic, while also adding perspective to understand the micro-social mechanisms behind the intergenerational reproduction of socioeconomic inequality, especially in the housing market.

The purpose of this paper is to design a current transformer model based on the principle of B-dot. It can reflect the change of transmission line current and meet the requirement of automation and intelligence for current measurement in power system.

In this paper, a new type of current transformer is designed on the principle of B-dot, which has the structure of the inverse series of planar air core coils and the form of printed circuit board (PCB). With this structure, the current transformers can induce magnetic field quite well. The finite element simulation for the current transformer with n layers structure is conducted in the Maxwell, which help to optimize the design of the current transformer.

By setting up the experimental platform, the experiment of the current transformer is carried out. The results of the test show that the measurement accuracy can satisfy the requirement of measurement. Besides, the new current transformer has good transient characteristics and can meet the needs of the development of smart grid.

The new type of current transformer is based on the principle of B-dot, which is designed with a new type of non-contact PCB hollow coil current transformer. It has no iron core, no ferromagnetic effect and the phenomenon of ferromagnetic resonance. It has great progress in its insulation performance, volume and bandwidth response. In addition, the planar hollow coil of the inverse series structure can make the structure more accurate.

A new wire arc additive manufacturing (WAAM) process combined with gravity-driven powder feeding was developed to fabricate components of tungsten carbide (WC)-reinforced iron matrix composites. The purpose of this study was to investigate the particle transportation mechanism during deposition and determine the effects of WC particle size on the microstructure and properties of the so-fabricated component.

Thin-walled samples were deposited by the new WAAM using two WC particles of different sizes. A series of in-depth investigations were conducted to reveal the differences in the macro morphology, microstructure, tensile performance and wear properties.

The results showed that inward convection and gravity were the main factors affecting WC transportation in the molten pool. Large WC particles have higher ability than small particles to penetrate into the molten pool and survive severe dissolution. Small WC particles were more likely to be completely dissolved around the top surface, forming a thicker region of reticulate (Fe, W)₆C. Large WC particles can slow down the inward convection more, thereby leading to an increase in width and a decrease in the layer height of the weld bead. The mechanical properties and wear resistance significantly increased owing to reinforcement. Comparatively, samples with large WC particles showed inferior tensile properties owing to their higher susceptibility to cracks.

Fabricating metal matrix composites through the WAAM process is a novel concept that still requires further investigation. Apart from the self-designed gravity-driven powder feeding, the unique aspects of this study also include the revelation of the particle transportation mechanism of WC particles during deposition.

Online reviews are regarded as a source of information for decision-making because of the abundance and ready availability of information. Whereas, the sheer volume of online reviews makes it hard for consumers, especially the older adults who perceive more difficulties in reading reviews and obtaining information compared to younger adults, to locate the useful ones. The main objective of this study is to propose an effective method to locate valuable reviews of mobile phones for older adults. Besides, the authors also want to explore what characteristics of the technology older adults prefer. This will benefit both e-retailers and e-commerce platforms.

After collecting online reviews related to mobile phones designed for older adults from a popular Chinese e-commerce platform (JD Mall), topic modeling, term frequency-inverse document frequency (TF-IDF), and linguistic inquiry and word count (LIWC) methods were applied to extract latent topics and uncover potential dimensions that consumers frequently referred to in their reviews. According to consumers' attitudes towards different popular topics, seven machine learning models were employed to predict the usefulness and popularity of online reviews due to their excellent performance in prediction. To improve the performance, a weighted model based on the two best-performing models was built and evaluated.

Based on the TF-IDF, topic modeling, and LIWC methods, the authors find that older adults are more interested in the exterior, sound, and communication functions of mobile phones. Besides, the weighted model (Random Forest: Decision Tree = 2:1) is the best model for predicting the online review popularity, while random forest performs best in predicting the perceived usefulness of online reviews.

This study’s findings can help e-commerce platforms and merchants identify the needs of the targeted consumers, predict reviews that will get more attention, and provide some early responses to some questions.

The results propose that older adults pay more attention to the mobile phones' exterior, sound, and communication function, guiding future research. Besides, this paper also enriches the current studies related to making predictions based on the information contained in the online reviews.

China's digital economy is flourishing and playing a pivotal role in the national economy. Government subsidies, as an important tool for the national treasury, are a “reassurance” for the digital transformation of manufacturing enterprises. The purpose of this paper is to investigate the relations between the digital transformation of manufacturing enterprises and government subsidies to provide inspiration for promoting the digitization and upgrading of China's manufacturing industry and facilitate enterprises' innovative development.

Based on the panel data of 2,928 manufacturing listed companies in China from 2016 to 2020, this paper empirically tests the effect of subsidies on the digital transformation of manufacturing enterprises using fixed-effect econometric regression.

The results illustrate that subsidies effectively incentivize digital transformation in manufacturing enterprises, and verify different situations through heterogeneity. Further analysis of the moderating effect shows that the innovation level and servitization level of manufacturing enterprises positively moderated the relationship between government subsidies and the enterprise's digital transformation.

Based on Chinese manufacturing enterprise samples, this paper empirically tests the incentive effect of government subsidies on the digital transformation of manufacturing enterprises, therefore clarifying the main regulatory effects. This paper could provide enlightenment for manufacturing enterprises to make good use of government subsidies to improve their digital ability, thereby enhancing competitiveness in the digital economy era.

The purpose of this paper is to investigate the relations between the digital transformation of manufacturing enterprises and enterprise innovation to provide inspiration for promoting the digitization and upgrading of China's manufacturing industry and facilitate enterprises' innovative development.

Based on a panel data of 584 listed manufacturing companies in China from 2016 to 2020, and using a fixed effects approach, this paper empirically examines the impact of digital transformation on corporate innovation in manufacturing enterprises, as well as examining the influential mechanisms and heterogeneity.

The research shows that the digital transformation of manufacturing enterprises has effectively improved the innovation capacity of enterprises and verifies different situations through heterogeneity. At the same time, the research clarifies the mediating effect of the innovation investment mechanism, cost control mechanism, and profit guarantee mechanism on the relations between the digital transformation of manufacturing enterprises and the innovation capacity of enterprises.

Based on Chinese manufacturing enterprise samples, this paper empirically tests the influential mechanism of digital transformation on the innovation capability of manufacturing enterprises, therefore clarifying the main mediating effects. This paper could provide inspiration for manufacturing companies to make good use of digital transformation rules according to their own situation and improve their innovation capabilities, thereby enhancing competitiveness in the digital economy era.

As a peer‐to‐peer scalable anonymous communication system, WonGoo is a tradeoff between anonymity and efficiency. Usually, the longer the path, the stronger the anonymity, but at the same time the heavier the overhead. WonGoo lengthens the anonymity path and reduces the overhead, providing strong anonymity and high efficiency with layered encryption and random forwarding. The purpose of this paper is to analyze its performance in detail.

The paper focuses on measure the performance of WonGoo system with probability theory. First, it gives a brief description of the system and evaluate its payload. Then it presents a detailed security analysis of the system.

It is shown that WonGoo can protect against (n − 1) attack and provide variable anonymity, as well as how confident the collaborators can be that their immediate predecessor is in fact the path initiator. The paper measures the anonymity degree provided by WonGoo system based on information entropy and compare it with other anonymity systems.

The paper is helpful for the further development of WonGoo system. In addition, the results presented in this paper will be useful for users to design other anonymity system.

WonGoo is a peer‐to‐peer anonymity system that provides strong anonymity and high efficiency with layered encryption and random forwarding. The paper presents a detailed analysis of its performance with probability theory and measures its anonymity degree with information theory.

The rising volume of open government data (OGD) contrasts with the limited acceptance and utilization of OGD among citizens. This study investigates the reasons for citizens’ not using available OGD by comparing citizens’ attitudes towards OGD with the development of OGD portals. The comparison includes four OGD utilization processes derived from the literature, namely OGD awareness, needs, access and consumption.

A case study in China has been carried out. A sociological questionnaire was designed to collect data from Chinese citizens (demand), and personal visits were carried out to collect data from OGD portals (supply).

Results show that Chinese citizens have low awareness of OGD and OGD portals. Significant differences were recognized between citizens’ expectations and OGD portals development in OGD categories and features, data access services and support functions. Correlations were found between citizens’ OGD awareness, needs, access and consumption.

By linking the supply of OGD from the governments with each process of citizens’ OGD utilization, this paper proposes a framework for citizens’ OGD utilization lifecycle and provides a new tool to investigate reasons for citizens’ not making use of OGD.

Intelligent manufacturing has attracted extensive attention from national strategy, academic research and enterprises' practices. The purpose of this study is to investigate the influence of intelligent manufacturing on performance in manufacturing firms. Moreover, how intelligent manufacturing technology affects enterprise performance, this study provided a practice that can be replicated by other businesses.

This study uses text mining to collect the intelligence level of Chinese listed companies. It uses quantitative analysis to test the proposed model based on samples of 2,091 manufacturers.

Intelligent manufacturing has positive effect on short-term performance and long-term performance. Intelligent manufacturing can empower firms with ambidextrous capabilities, including exploit capability and explore capability. Exploit capability has positive effects on short-term performance and long-term performance. Explore capability has negative effects on short-term performance, but has positive effects on long-term performance.

On the theoretical side, it enriches the research framework between intelligent manufacturing and enterprise performance. This study explains the preconditions and results of ambidextrous capabilities. Moreover, based on the practice-based view (PBV), this study proposes that technologies can be used as strategies, filling a gap in the existing research on strategic management. On the practical side, how to quantify the intelligent manufacturing level of enterprises provides a certain reference. Also, this study provides an easy to imitate practice that can serve as a model for under-performing enterprises.