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Culture and network may be interacted according to their impact on international trade, in such a way that networks alleviate the negative effect of cultural dissimilarity. This study investigates the effect of network and culture on international trade, and a possible interaction between two effects. Empirical findings from the augmented gravity model using a bilateral data set of 34 OECD countries confirm the positive effect of cultural proximity and network on trade. More importantly, the findings also reveal an interaction effect in a way that networks, such as FDI, migration and internet, play a significant role in mitigating the deterrent effect of culture dissimilarity on international trade. The internet is found to have the strongest interaction effect, followed by FDI and migration.

The main research target of this paper is to capture the network effects using the case of mobile cellular telephony, identified in European telecommunication markets, and its determinants enhancing the process of digital technologies diffusion.

This research relies on panel and dynamic panel regression analysis. The empirical sample covers 30 European countries, and the period for the analysis is set for 2000–2019.

This work contributes by examining the network effects identified on European telecommunication markets that drive the process of digital technologies diffusion, but it also extends the understanding of the latter by tracing major determinants of fast network expansion, e.g. prices of access to and use of, per capita income, urbanisation, population density, accessibility of fixed telephony infrastructure. The main findings support the initial supposition that the installed base strongly enhances diffusion of new technologies, while other factors, for example, prices, are not of prime importance.

This research has certain managerial implications. The unveiled network effects driving adoption of technological innovations constitute a significant determinant of implementation of differentiation strategy by telecommunication companies. Due to network effects consumers' propensity to join the network is valued higher than the prices of services offered, which is crucial not only from the perspective of the company's pricing strategy but also enables telecommunication companies to introduce to the market new products and/or services concentrating on increasing its quality and usability rather than future prices.

This is the first work that empirically verifies the intercompanies and interpersonal diffusion of cellular telephony, hypothesising that this process relies on unique network effects.

This paper seeks to analyze the role of network effects in relation to the adoption and use of systems for knowledge sharing in organizations and draws on recent developments within network economics to outline a theoretical perspective on the implementation of knowledge repositories in organizations. Findings from a longitudinal field study are presented to explore the concept of network effects in more detail. Commonly associated with economics, the concept of network effects can also be used in an organizational context to study adoption dynamics and use patterns when new information and communication technologies are introduced. The analysis of the field study data shows that knowledge repositories exhibit strong network effects, which can complicate the implementation process in multiple ways. The research is based on a single, in‐depth case study. Future research should study the role of network effects in relation to other technologies and organizational contexts. It underscores the need to be aware of – and try to manage – network effects when implementing knowledge repositories and other “networked” technologies. By and large, IS researchers have overlooked the role of network effects in relation to information and communication technologies in organizations. This paper begins to address this gap by focusing on the role of network effects in the adoption and use of knowledge repositories. It is suggested that the concept of network effects provides a useful theoretical lens in a number of other cases.

As Chinese stock market develops and grows, mutual fund plays an increasingly important role for strong financial strength and good social resources. This paper aims to present an overview of fund investment effect, identify the investment preference of institutional investors and explore the socially responsible investment value of mutual fund, especially green fund.

In order to test the green effects in the fund market, especially from the perspective of institutional shareholding, the authors build three panel data models to examine the attention, promotion and network effect respectively.

In general terms, the authors obtain a positive relationship between mutual funds and green firms (attention effect). This positive relationship is conducted by the comparison of institutional shareholding level between green firms and non-green firms by using two-sample t-test. The authors find that although all the coefficients of mutual funds' shareholding variables are positively related to social performance, only the number of mutual fund shareholders shows slight significance. The authors observe a stronger promotion effect of green funds on social performance than the other mutual funds (promotion effect). From a network perspective as well as previous social capital research, the mutual funds shareholding network shows a significant and positive effect on the firm's social performance in the firm–fund network (CFClose) as well as in the firm–firm network (CCClose), while the coefficients of closeness in the firm and green fund network are positive but non-significant (network effect).

Although some valuable findings have been documented, there is a great potential to be further explored. For example, how to guide more green funds to solve the finance problem of middle and small-sized firms may be another crucial task for the point of view of government or industry level. While at the mutual fund level, it is essential to positively participate in and fulfill the environment duty of listed firms which can not only satisfy the expectation of environment value investment.

The fund market has witnessed unprecedented growth in China and plays an important role in promoting the development of green industries. This indicates the practice of mutual funds as socially responsible investment in China. Some effective measures should be taken to incentive the mutual funds to continually invest in environment-friendly firms, which would benefit to the promotion of social performance driven by financing innovation.

The ESG issue is a global one that needs the participation of the countries worldwide. As one of the most important emerging markets, regulators in China should consider taking more action in promoting ESG concerns. To some extent, institutional investments can actually reflect how the responsible investments are going in this market.

This paper provides a systematic empirical analysis of Chinese fund market in the view of institutional investor preference. Three green effects, namely attention, promotion and network effects, are put forward, which have not been employed in previous studies. Our work is useful for understanding sustainable finance which has been elevating into national strategy.

This paper aims to examine the role of network effects (defined as increased utility for users of a technology that occurs when adoption increases among other users) in the adoption of electronic medical records (EMR) systems. EMR systems, which have experienced slow adoption rates, promise to improve the efficiency of the healthcare system by facilitating information exchange among physicians caring for the same patients.

Survey responses from physicians are used to test several hypotheses. The authors are interested in how market level EMR adoption was related to physician adoption intentions. The authors also test the “strong ties” notion of network effects by examining whether EMR adoption among generalists, and specialist physicians, had differing influences on adoption intentions in a given market.

Support for network effects is found; each one unit increase in market‐level EMR adoption is associated with a significant increase in overall physician adoption intention in that market. Secondary analyses suggest adoption of EMRs by specialists is significantly predictive of generalists' adoption intentions in a given market. However, as predicted, EMR among generalists does not influence other generalists' intentions; nor does EMR adoption by a specialists influence other specialists' intentions.

Network effects play a role in the EMR adoption among physicians. Decision‐makers wanting to influence adoption should target defined market segments in an effort to build a critical mass of adoption then move to adjacent segments once network effects take hold.

This paper applies network effects theory to help explain the suboptimal adoption rates of an important healthcare technology.

The purpose of this paper is to whether competition between platforms can be effective, thus leading to efficient allocations.

Based on the classic linear Hoteling model, this paper builds a two-period competition model for two competing platforms using two variants, namely, a discrimination pricing model and a unified pricing model.

In the case of the discrimination pricing model, the competition is moderate, and the two platforms split the market evenly in the first stage, while both platforms tended to offer preferential treatment to new users and set higher prices for regular customers in the second stage. Compared to the unified pricing model, in the first stage, the platform can provide a higher price that depends on the cross-network effect when it implements discrimination, and thus, obtains higher profits. However, in the second stage, fierce competition leads to the release of benefits, new and regular customers obtain lower prices and the platforms lose higher profits. In the long-run, discriminatory pricing is not the best option due to lower total profits. The two platforms will implement cooperative pricing or one platform becomes dominant.

Instead of focusing on the cross-network effects, this paper emphasizes the role of the same-side network effect on price discrimination regarding the platforms’ competition. The same-side network effects are investigated in relation to a discrimination pricing strategy and compared to a unified pricing strategy. Another innovative aspect is the study of these network effects in a dynamic setting based on a two-period competition model for two platforms.

Value pricing requires a marketer to price his/her product according to the value the product brings to its user. A product with network effects makes it difficult to assess the value of the product to its customer, thus presenting a challenge to the value pricing principle. This paper reviews the relevant literatures in value pricing and network effects and provides an integrated model to price products with network effects. The value of a product with network effects is decomposed into two parts: autarky value and synchronization value. Linearly combining the two types of values, the model can price both stand‐alone products (with synchronization value equal to zero) and network products (with or without autarky value).

The manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial network topology, which is an important reason for the synergistic effect. This paper describes the topology of industrial systems using complex network theory; further, it discusses how to identify the criticality and importance of industrial nodes, and whether node characteristics cause synergistic effects.

Based on the input-output data of China in 2007, 2012 and 2017, this paper constructs the industrial complex network of 30 Chinese provinces and cities, and measures the regional network characteristics of the manufacturing industry. The fixed-effect panel regression model is adopted to test the influence of agglomeration degree and centrality on synergies, and its adjustment mechanism is explored.

The degree of network agglomeration in the manufacturing industry exerts a negative impact on the synergistic effect, while the centrality of the network exerts a significant promoting effect on the synergistic effect. The results of adjustment mechanism test show that enhancing the autonomous controllable ability of the regional industrial chain in the manufacturing industry can effectively reduce the effect of network characteristics on the synergistic effect.

Based on input-output technology, this paper constructs a complex industrial network model, however, only basic flow data are used. Considerable in-depth and detailed research on the economic and technological connections within the industry should be conducted in the future. The selection of the evaluation index of the importance of industrial nodes also needs to be further considered. For historical reasons, it is also difficult to obtain and process data when carrying out quantitative analysis; therefore, it is necessary to make further attempts from the data source and the expression form of evaluation indicators.

In a practical sense this has certain reference value for the formulation of manufacturing industrial policies the optimization of regional industrial layout and the improvement of the industrial development level. It is necessary to formulate targeted and specialized industrial development strategies according to the characteristics of the manufacturing industry appropriately regulate the autonomous controllable ability of the industrial chain and avoid to limit the development of industries which is in turn limited by regional resources. Industry competition and market congestion need to be reduced industry exchanges outside the region encouraged the industrial layout optimized and the construction of a modern industrial system accelerated.

The above research results hold certain reference importance for policy formulation related to the manufacturing industry, regional industrial layout optimization and industrial development level improvement. Targeted specialized industrial development strategies need to be formulated according to the characteristics of the manufacturing industry; the autonomous controllability of the industrial chain needs to be appropriately regulated; limitation of regional resources needs to be avoided as this restricts industrial development; and industry competition and market congestion need to be reduced. Agglomeration of production factors and optimization of resource allocation is an important part of a beneficial regional economic development strategy, and it is also an inevitable choice for industrialization to develop to a certain stage under the condition of a market economy. In alignment with the research conclusions, effective suggestions can be put forward for the current major industrial policies. In the process of promoting the development of the manufacturing industry, it is necessary for regional governments to carry out unified planning and guidance on the spatial layout of each manufacturing subsector. Regional governments need to effectively allocate inter-industry resources, better share economies of scale, constantly enhance the competitive advantages and competitiveness of development zones and new districts and promote the coordinated agglomeration and development of related industries with input industries. Industrial exchanges outside the region should be encouraged, the industrial layout should be optimized and the construction of a modern industrial system should be accelerated.

Complex network theory is introduced to study the industrial synergy effect. A complex industrial network of China's 30 regions is built and key network nodes are measured. Based on the dimensionality of the “industrial node – industrial chain – industrial complex network”, the research path of industrial complex networks is improved.

This chapter summarizes the interdependence of network effects, compatibility standards and intellectual property rights (IPR) in the global economy. This interdependence is analyzed at the product market level and at the research and development level. The questions to be examined are: how IPR influence the provision of goods exhibiting network effects; the impact of network effects on the creation, dissemination and protection of intellectual property and of goods with strong intellectual property content; and strategic issues faced by firms and governments in goods that exhibit network effects. We answer these questions by studying how network effects influence the value of IPR and how in turn IPR may influence the size of networks. We highlight the central importance of IPR protection of interface standards for market outcomes, and how different types of IPR generate market power through interface standards. We review similarities of network effects in product markets and research networks as well as impediments to their expansion. We finally discuss alternative outcomes of standardization policies, institutional choices and strategic coordination efforts by firms. We emphasize how the answers to these questions are distinct in an international context.

Performance of firms in network industries depends much on the creation of standards around their technologies, products, or services. Establishing standards requires committing large, irreversible, upfront investment while demand remains uncertain. This paper focuses on the real options involved in this investment problem. The conventional real options literature recognizes the waiting-to-invest option where firms could avoid regret by waiting until at least some of the uncertainty is resolved. However, early commitment of network investment has vital strategic effects on shaping the expectations of potential users and inducing them to adopt the standard, thus creating a strategic growth option. We develop a simple model to explore the tradeoff between this strategic growth option and the waiting-to-invest option. We solve for the optimal investment rules and find that for high uncertainty, the strategic growth option often dominates the waiting-to-invest option and reduces the investment threshold. Furthermore, the intensity of network effect enhances the strategic growth option. Our results have important implications to the strategies of firms in technology industries.