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This study aims to investigate the impact of Internet use on household financial market participation and portfolio choice.

Based on the Chinese General Social Survey 2017 (CGSS2017), this study empirically explores whether Internet use affects household financial market participation in China with an Endogenous Switching Probit model.

The results show that households using the Internet are more likely to invest in financial markets. Further research shows that households with high Internet use are significantly more likely to participate in financial markets than households with low Internet use. From the perspective of household portfolio choice, Internet use has a certain role in increasing the probability of portfolio diversification. However, among households that have invested in financial markets, those with a high-frequency use of the Internet do not show an impact on portfolio diversification.

This study complements existing research about the impact of Internet use or not on household financial market decisions and portfolio choice, expands the knowledge on the household financial market choice from the respective of the degree of Internet use.

This paper aims to construct positivity-preserving finite volume schemes for the three-dimensional convection–diffusion equation that are applicable to arbitrary polyhedral grids.

The cell vertices are used to define the auxiliary unknowns, and the primary unknowns are defined at cell centers. The diffusion flux is discretized by the classical nonlinear two-point flux approximation. To ensure the fully discrete scheme has positivity-preserving property, an improved discretization method for the convection flux was presented. Besides, a new positivity-preserving vertex interpolation method is derived from the linear reconstruction in the discretization of convection flux. Moreover, the Picard iteration method may have slow convergence in solving the nonlinear system. Thus, the Anderson acceleration of Picard iteration method is used to solve the nonlinear system. A condition number monitor of matrix is employed in the Anderson acceleration method to achieve better robustness.

The new scheme is applicable to arbitrary polyhedral grids and has a second-order accuracy. The results of numerical experiments also confirm the positivity-preserving of the discretization scheme.

1. This article presents a new positivity-preserving finite volume scheme for the 3D convection–diffusion equation. 2. The new discretization scheme of convection flux is constructed. 3. A new second-order interpolation algorithm is given to eliminate the auxiliary unknowns in flux expressions. 4. An improved Anderson acceleration method is applied to accelerate the convergence of Picard iterations. 5. This scheme can solve the convection–diffusion equation on the distorted meshes with second-order accuracy.

This paper aims to consider numerical simulation for radionuclide transport calculations in geological radioactive waste repository.

The nonlinear two-point flux approximation is used to discretize the diffusion flux and has a fixed stencil. The cell-vertex unknowns are applied to define the auxiliary unknowns and can be interpolated by the cell-centered unknowns. The approximation of convection flux is based on the second-order upwind method with a slope limiter.

Numerical results illustrate that the positivity-preserving is satisfied in solving this convection-diffusion system and has a second-order convergence rate on the distorted meshes.

A new positivity-preserving nonlinear finite volume scheme is proposed to simulate the far-field model used in the geological radioactive waste repository. Numerical results illustrate that the positivity-preserving is satisfied in solving this convection-diffusion system and has a second-order convergence rate on the distorted meshes.

This study seeks to develop the concept of technological embeddedness by extending the social embeddedness theory of economic actions to household computer adoption. It also aims to propose a research framework in which technological embeddedness is a key factor that influences household computer adoption.

The US 1989‐2003 Computer and Internet Use Supplements to the Current Population Surveys are used to validate the proposed research framework.

The results show that technological embeddedness positively affects household computer adoption. In addition, the impact of technological embeddedness is positively moderated by household income, and this impact is particularly stronger on first‐time buyers than on repeat buyers.

The results provide important policy and managerial implications for encouraging household computer adoption and bridging the digital divide.

The paper proposes a new concept and develops a research framework for analyzing household computer adoption and technology adoption in general.

The importance of innovation to the performance of firms has led to numerous studies conducted to identify the critical successful factors in new product development (NPD). However, most of these studies were conducted within the context of the developed economies or for large enterprises; relatively little is known about how firms, especially small and medium‐size enterprises (SMEs), develop new products in many of the emerging markets. This paper tries to bridge the gap by examining the key success factors of NPD in Chinese SMEs. Different from the traditional approach regarding the success factors in each stage of NPD as homogeneous, the key success factors in each stage of the NPD process are examined from a managerial perspective.

The data used in this study were collected through a multi‐stage procedure including in‐depth field interviews and surveys. Two rounds of pretests were used to refine the measurements, and the 74 questionnaires retuned in the third round were used to analyze the key success factors for NPD through score ranking and principal component analysis.

Chinese SMEs do not regard financial return as the primary criterion in the idea‐generation stage. Although the key success factors are relatively quite different in various stages, technological, marketing, commercial, and managerial factors are important across all stages.

The samples were from Beijing Incubator Alliances, which might not be representative.

The results will be interesting to both researchers and managers who want to know how the Chinese SMEs develop their new products.

Very few studies were conducted on how the Chinese SMEs develop new products, and this research contributed to this important topic. Various success factors were examined for each stage of the NPD process from a managerial perspective, rather than viewing the success factors in each stage of NPD as homogeneous, as most previous research has suggested.

Researchers have long been interested in the process of how networking firms share knowledge, what mechanisms firms use to govern knowledge sharing, and what the consequences are for the sharing firms. The purpose of this paper is to attempt to answer these questions from a social network perspective.

Qualitative method is employed to facilitate deeper understanding of soft variables and key relationships for discovering and mapping non‐formal business practices. The sampling strategy is based on relevance rather than representativeness; data analysis and theoretical analysis stresses an iterative process of theoretical sampling, comparing, and contrasting of samples to build theoretical categories.

The principal findings highlight how social capital, especially trust‐based‐ties, develops in inter‐firm interaction process, accelerates knowledge flow, and acts as an informal governance mechanism between firms. Weak ties help firms to build initial relationships and strong ties help firms to acquire higher‐quality and fine‐grained knowledge.

The analysis rests on qualitative studies in a single industry. The paper trades generalizability for richness, thus potentially risking producing theories that are idiosyncratic and not generalizable to the entire population. Longitudinal studies with larger sample sizes are encouraged to develop more precise propositions or hypotheses for testing.

The identification of the process through which social capital facilitates knowledge flow and consequently innovation enhances the understanding of firms' strategic behavior, and provides managers possible guidelines on how to accumulate social capital in interfirm dynamic interaction to gain competitive advantage.

The paper delineates the strategic roles of social capital in facilitating knowledge flow between firms and further contributes to emerging literature by demonstrating the process of social capital development and its impact on innovation and performance.

The delay in real estate projects in India is pervasive. Organization and management (O&M) and project management (PM)-related challenges are argued to contribute to project delays. This study examined the O&M and PM factors that cause delays, the level of implementation of various O&M and PM aspects in real estate projects and how the challenges can be alleviated.

Perception surveys among the consumers and relevant stakeholders engaged in real estate projects in the Bhubaneswar and Cuttack regions of India were conducted to collect data on the factors of delay and implementation of the O&M and PM aspects. Relevant statistical methods and structural equation modeling (SEM) were used for data analysis.

Findings suggest that from the O&M point of view, poor decision-making, mishandling of finance, concurrent execution of many projects, diversion and misuse of finance for unrelated activities, lack of PM personnel and poor management contribute to the delay. Further, although the project initiation is satisfactorily done, most of the PM principles are not largely used, thus leading to delay.

The study does have limitations, including its reliance on a perception survey of consumers and stakeholders, a limited sample size and a restricted number of projects. Nevertheless, the study highlights the need to address poor O&M and the insufficient application of PM principles to combat project delays in the Indian real estate sector.

Proper O&M and adequate application of PM will enable professional management of the projects and avoid delay.

Proper O&M and the application of adequate PM would reduce delays in real estate projects. Consequently, conflicts between the companies and consumers might be reduced and housing and infrastructure demands might be met.

The study manifested that the lack of adequate implementation of O&M and PM aspects leads to delays. So, it is theorized that O&M and PM play critical roles in the success of real estate projects. Appropriate implementation of the principles and best practices linked to these aspects might alleviate the challenges of delay in real estate projects in India.

COVID-19 has had a significant global impact at many levels, including an impact on global real estate capital flows. This paper examines the impact of COVID-19 on global real estate capital flows over 2019–2022 to clearly articulate the extent of this impact on global real estate capital flows across regions, countries, major cities, real estate sub-sectors and by major real estate investors. Drivers of these global real estate capital flow changes are also identified. The strategic real estate investment implications of this impact are highlighted, as well as the implications going forward concerning the global real estate strategies for the real estate portfolios held by institutional investors.

To assess the impact of COVID-19, the Real Capital Analytics (RCA) database of global real estate transactions over 2019–2022 is used to drill-out critical details on commercial real estate transactions to explore specific trends in global real estate capital flows in this period of the COVID-19 crisis. This includes real estate capital flows to specific regions, countries, cities, real estate sub-sectors as well as the role of major real estate investors.

The impact of COVID-19 is clearly shown with the major decline in global real estate capital flows in 2020, with a strong recovery in 2021. Reduced levels of real estate capital flows in 2022 reflect different risk dynamics, where 2022 has seen investors move on from the COVID-19 environment. In 2022, the risk of COVID-19 for real estate has been replaced by global real estate risk factors such as inflation concerns, geopolitical tensions, economic growth concerns, increased cost of debt issues and supply chain issues. This sees COVID-19 now rated as only the 6th most important risk factor in real estate investment decision-making for real estate investors in the Americas, Europe, Middle East and Africa (EMEA) and Asia–Pacific.

This research has clearly shown the extent of the impact of COVID-19 on global real estate capital flows, as well as identifying the drivers of these real estate capital flow changes. It highlights that real estate investors have moved on and are now prioritising new risk factors ahead of COVID-19 risk. These critical risk factors reflect more recent financial, economic and geopolitical issues, which are key issues in real estate investment decision-making going forward. Investors need to structure these new risk factors into their real estate investment decision-making for the ongoing management of their domestic and international real estate portfolios.

This paper is the first published empirical research analysis of global real estate capital flows during the COVID-19 crisis. This research provides major insights on real estate investment decision-making during this crisis and the strategic changes seen in acquiring real estate portfolios in response to this major global crisis. The change in real estate risk priorities in 2022 as real estate investors move on from the COVID-19 environment is also identified and is clearly reflected in the 2022 global real estate capital flows.