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This study aims to investigate the effects of social capital (defined as networks) on the performance of Chinese private enterprises.

The paper employ an econometric model to test relationships between social capital and firm performance, using a sample of private enterprises in a survey in China in 2000.

The analysis suggests two findings. First, memberships in various organizations do not appear to be significant in affecting the performance of Chinese private enterprises. Second, short‐time investment in, and the flow of, social capital are significant determinants of enterprise performance.

The study examines only the effects of the short‐time investment in social capital. Further research is suggested to examine the effects of long‐term investments in social capital, the relationship between short‐time investment and long‐time investment in social capital, and the network as a whole, including informal networks.

The paper uses the survey data in China to test Krishna's hypothesis which suggests that short‐term investments can play a positive role in the financial performance of firms.

Public-private partnership (PPP) projects for construction waste recycling have become the main approach to construction waste treatment in China. Risk sharing and income distribution of PPP projects play a vital role in achieving project success. This paper is aimed at building a practical and effective risk sharing and income distribution model to achieve win–win situation among different stakeholders, thereby providing a systematic framework for governments to promote construction waste recycling.

Stakeholders of construction waste recycling PPP projects were reclassified according to the stakeholder theory. Best-worst multi–criteria decision-making method and comprehensive fuzzy evaluation method (BWM–FCE) risk assessment model was constructed to optimize the risk assessment of core stakeholders in construction waste recycling PPP projects. Based on the proposed risk evaluation model for construction waste recycling PPP projects, the Shapley value income distribution model was modified in combination with capital investment, contribution and project participation to obtain a more equitable and reasonable income distribution system.

The income distribution model showed that PPP Project Companies gained more transaction benefits, which proved that PPP Project Companies played an important role in the actual operation of PPP projects. The policy change risk, investment and financing risk and income risk were the most important risks and key factors for project success. Therefore, it is of great significance to strengthen the management of PPP Project Companies, and in the process of PPP implementation, the government should focus on preventing the risk of policy changes, investment and financing risks and income risks.

The findings from this study have advanced the application methods of risk sharing and income distribution for PPP projects and further improved PPP project-related theories. It helps to promote and rationalize fairness in construction waste recycling PPP projects and to achieve mutual benefits and win–win situation in risk sharing. It has also provided a reference for resource management of construction waste and laid a solid foundation for long-term development of construction waste resources.

PPP mode is an effective tool for construction waste recycling. How to allocate risks and distribute benefits has become the most important issue of waste recycling PPP projects, and also the key to project success. The originality of this study resides in its provision of a holistic approach of risk allocation and benefit distribution on construction waste PPP projects in China as a developing country. Accordingly, this study adds its value by promoting resource development of construction waste, extending an innovative risk allocation and benefit distribution method in PPP projects, and providing a valuable reference for policymakers and private investors who are planning to invest in PPP projects in China.

This research aims to explore the role of social capital and specifically networks in role, and career development for women within two very distinct gender-segregated contexts of the labour market, namely, investment management and human resource management (HRM).

This research is qualitative in nature, underpinned by an interpretivist philosophical stance. Thematic analysis is used to analyse the findings from 32 in-depth interviews with HR and investment management managers.

The findings advance our understanding of social capital and its development as a social process, which differs according to labour market contexts. The results indicate divergence among participants regarding how they access networks as well as the perceived role and benefits of networking and social capital accumulation in their career and personal development.

For human resource development (HRD) practitioners, there are implications in relation to the need to tailor development and support structures cognisant of the occupational context. Specifically, the findings of this study indicate the acute need to support network access for those “outsider” women in male-dominated spaces. A need to enhance awareness of the benefits of networks to both organisations and employees across the labour market is warranted. For organisations, networks underlie social capital accumulation, which in turn increases efficiency and generates business solutions. For the employee, networks are an important self-development and career advancement tool. Such connections need to be supported and developed. Within patriarchal spaces particularly, HRD professionals need to provide support to women in extending their networks both within and outside the organisation.

This research makes an essential contribution to the literature by examining the influence of context in the development of social capital within two polarized labour market locations. The findings highlight the difficulties women face when developing social capital in investment management in contrast to the relative ease, which HRM professionals experience. Such findings also bring to light the essential role of HRD professionals as advocates for change in such contexts.

The purpose of this paper is to test the theoretical predictions of the social capital investment model and examine the relationships between different forms of social capital and subjective happiness in Taiwan.

This paper uses the data from the Survey of Social Development Trends in Taiwan 2003 for empirical investigations with ordinary least squares and ordered probit estimations.

The findings are mostly consistent with the characteristics implied by the social capital investment model. Moreover, to some extent, the individual impacts of different measures of social capital – including contributions to non‐profit organizations, volunteering, social and community involvement, and trust – on subjective happiness are identified.

The results from this paper provide valuable policy implications for researchers and policymakers who are concerned about the impacts of changes of social structures and political institutions on people's well‐being during democratic developments.

Studies on the relationship between social capital and subjective happiness for the new democratic Asian societies have received much less attention. Since the late 1980s, Taiwan has experienced a political transition from an authoritarian to a democratic regime along with rapid economic development and further opening of society toward different individual beliefs, cultures, and global views. During this process, there have been various changes in the socio‐cultural context of society that is critical for the formation of social capital. This paper is considered as one of very few studies on the linkage between social capital and subjective happiness for a new democratic society.

The social network analysis of criminal networks at both the ego and socio-centric level is well established. This purpose of this study is to expand this literature with a social capital analysis of a criminal network. The focus of the analysis will be the recent egregious investment fraud of Bernard L. Madoff Investment Securities (BLMIS).

This research involves a case study of the BLMIS financial fraud. The article uses a social capital theoretical lens, with archival sources taken from the court records of Madoff v. NY to include victim impact statements and the defendant’s Plea Allocution.

Financial crime literature can be expanded with a social capital analysis which facilitates a socio-economic analysis of ego-centric criminal networks.

Each financial crime is of its time; however, there are recurring socio-economic network characteristics that could be applied to develop an understanding of criminal networks.

Any understanding of financial crime, including contemporary instances of criminal innovation, such as cyber-crime, can be enhanced with a social capital analysis of criminal networks.

A social capital analysis of financial crime draws attention to “human factors” in criminal networks that are integral to this form of crime.

Institutional complexity shapes what is perceived as possible by framing cultural debates about practices, but organizations in turn shape how logics interpenetrate fields, suggesting that we must consider both the degree of compatibility between logics and the degree of practice variation in a field. Our exploratory study of three entrepreneurial impact finance organizations considers how they situate their practices between the market and community logics. We offer a recursive view that considers how multiple institutional logics shape practices and how entrepreneurial organizations adapt and invent new practices that, through their continued use, can influence the institutional complexity of a field.

Drawing on the literature regarding the social network and stock investment, this paper aims to focus on the use of the social network on stock ownership decisions at individual levels. This paper also attempts to shed light on potential mediators of the relationship between the social network and stock ownership.

To determine the relationship between stock ownership and using the social network, logistic regression was used. In order to isolate the effect of using hs on stock ownership, a decomposing method was adopted.

The findings provide evidence of the positive contribution of the use of social networks in stock ownership. Personal characteristics, such as household net worth, homeownership, education level and risk tolerance, may play a vital role in influencing individuals' decisions regarding stock investment. In addition, this study contributes to our understanding of income's mediating role in stock investment decisions.

First, the authors contribute theoretically by drawing from the assumptions of social networking contagion theory, social influence theory, and social capital theory. Second, we explored potential mediators of the relationship between the social network and stock ownership. Third, this study complements the literature in incorporating the social network in business, financial professionals to be exact.

The purpose of this study is to further develop an emerging thread of quantitative research that grounds investment in school infrastructure in a unified theoretical framework of investment in human, social, and physical capital.

To answer the research question, what is the impact of investment in human, social, and physical capital on student achievement, the author uses canonical analysis, a multivariate statistical approach that allows for multiple independent and dependent variables. The null hypothesis is selected given the limited body of research on this question, and the state is selected as the unit of analysis. Level of student poverty is added as a control variable given an extensive body of research that supports its negative impact on achievement. Descriptive statistics are generated as well as a Pearson product moment correlation matrix to diagnose and address potential issues of multicollinearity and simultaneity. Three national databases are used: United States Census Bureau, US Department of Education's National Assessment of Educational Progress test score data, and the US Department of Education's Common Core of Data. Years analyzed are 2003, 2005, and 2007.

The results of the canonical analysis are robust, statistically significant, and consistent over time. Investment in human, social, and physical capital accounts for between 55.8 and 77.2 percent of the variation in student achievement in fourth and eighth grade Reading and Mathematics. Investment in human capital is consistently the largest influence on student achievement followed by social and physical capital. The null hypothesis is rejected.

This study advances the use of theory in explaining the impact of investment in school infrastructure on student achievement, a feature which distinguishes it from much previous research in this domain. The use of a theory also addresses a major weakness of traditional, atheoretical education production function research. In addition, utilization of canonical analysis rather than multiple regression to operationalize the theoretical model and analyze the data represents an advance in research design and statistical analysis for this type of research question.

Education promotes the development of human capital, which has long been studied in the literature as a key determinant of economic development. Education is today listed as key part of public intangible capital and is further studied in the context of new growth determinants. This chapter extends the analysis of the contribution of education as a public intangible capital to the economic growth. It shows that education in fact promotes all three components of sustainable development. First, education promotes economic development and higher value-added creation, second, it is related to better and more job opportunities, higher wages, promotes health, etc., and consequently contributes to the achievement of the “social” dimension of sustainable development. Last, more educated population is also more prone toward supporting environmental goals. Therefore, investment into education is very important from the perspective of sustainable development. With offering a range of opportunities to individuals, the role of public education and policy-making in the field is essential to promote sustainable development from this perspective.

Field emergence poses an intriguing problem for institutional theorists. New issue fields often arise at the intersection of different sectors, amidst extant structures of meanings and actors. Such nascent fields are fragmented and lack clear guides for action; making it unclear how they ever coalesce. The authors propose that provisional social structures provide actors with macrosocial presuppositions that shape ongoing field-configuration; bootstrapping the field. The authors explore this empirically in the context of social impact investing in the UK, 2000–2013, a period in which this field moved from clear fragmentation to relative alignment. The authors combine different computational text analysis methods, and data from an extensive field-level study, to uncover meaningful patterns of interaction and structuration. Our results show that across various periods, different types of actors were linked together in discourse through “actor–meaning couplets.” These emergent couplings of actors and meanings provided actors with social cues, or macrofoundations, which guided their local activities. The authors thus theorize a recursive, co-constitutive process: as punctuated moments of interaction generate provisional structures of actor–meaning couplets, which then cue actors as they navigate and constitute the emerging field. Our model re-energizes the core tenets of new structuralism and contributes to current debates about institutional emergence and change.