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Purpose – The introductory chapter to this special issue highlights contemporary scholarship on networks, work, and inequality.Methodology – We review the last decade of research on this topic, identifying four key areas investigation: (1) networks and hiring, (2) networks and the labor process, (3) networks and outcomes at work, and (4) networks and institutional dynamics.Findings – Social networks play an important role in understanding the mechanisms by which and the conditions under which economic inequality is reproduced across gender, race, and social class distinctions. Throughout the review, we point to numerous opportunities for future research to enhance our understanding of these social processes.

At a time when technology enables more information than ever before to be disseminated faster then ever before, and markets and organisational goalposts rapidly change, there is increasing dependence on networks to meet both strategic and personal needs. This paper explores how to overcome common individual and organisational barriers to networking. It examines the personal and strategic drivers for networking, before studying the practical steps organisations can take to: — prepare their culture for networking — promote the skills needed — give employees practical tools to identify and develop networks.

The purpose of this paper is to study the effects of multidimensional friendship networks on economic outcomes in the domain of online people-to-people (P2P) lending markets.

The empirical analysis is based on the data set of transactions and friendship networks from PPDai.com market, the most prominent P2P lending market in China. A friendship hierarchy is proposed in this paper to conceptualize friendship network types. Furthermore, methodologies of t-test, logistic regression and ordinary least squares regression are implemented to measure the impact of multidimensional friendship network variables on the probability of successful funding, as well as the interest rates on funded loans.

The study demonstrates significant effects of structural, relational and cognitive friendship networks using PPDai.com data. The results indicate that structural friendship network measured in terms of the number of friendship ties is a significant factor of funding performance. Additionally, borrowers, who are involved in higher-quality friendship networks, are more likely to be funded and pay lower interest rates on funded loans. Also, the deeper the level of the relationship is in the friendship hierarchy, the more significant will be the effect of friendship on the final economic results. Furthermore, quality is more important than quantity in determining funding performance.

This paper is the first to study the effects of multidimensional friendship networks on economic outcome variables in the domain of online P2P lending, thus broadening the theory of multidimensional social capital, which can deepen our understanding about how social networks work and have significant implications practically and theoretically.

Work, gender and the future Volume 10 Number 2 of the Journal of Ørganizational Change Management includes an article with this title, by 0ystein Gullväg Holter. It contrasts the ideology of “productionism” with the rising importance of people‐oriented work (“reproduction”) and the struggle for equal gender status. Examines economic factors that discriminate against reproduction and women's activities, and explores ways to overcome these barriers to equality.

This paper attempts to discover whether or not social networks work in the same way in different sectors of the labour market in the same society, using data from the 2008 Asian Social Survey. Labour markets in some societies are segmented; there are two segments in the labour market, namely, the core sector and the peripheral sector. The practices of each sector differs from the others. Some sectors employ CME labour markets, while others favour LME labour markets (Kanbayashi and Takenoshita, 2014). In other words, we can find both CME and LME labour market in one society.

Since Granovetter’s (1973) pioneer study, scholars are interested in investigating in what way social network influence our job searching outcomes. However, these researchers have not yet yielded consistent results. Scholars argue that the institutional context of labour market can shape the network impacts on our job search outcome (Chen, 2014; Chua, 2011).

Surprisingly, this paper finds that there is no room for the use of personal contact in the public sector in both China and Japan. But, mean status is positively related to annual income in the private companies sector in both Japan and China. The significant influences of mean status in the private sectors in both China and Japan reflect the reinforcing of existing social inequality structure. This is because as the status of contact can facilitate respondents' job attainment process, those who are already in higher social status are more likely than those who are in the bottom of the social strata, to get a better job with the help from their network members.

The above findings show us that social network can exert various impacts on people's job searching process even in the same society. This is because it is possible that the labour market are segmented. These segments have very different practices. This difference attributes to the inconsistent findings of network effects on occupational attainment process. Therefore, it is essential to locate which labour market respondents are in, and the features of this labour market. This can help us know more about the use and effectiveness of network in different types of labour markets.

This article aims to identify the capabilities supporting the development of collaborative innovation within knowledge‐intensive environments.

Re‐considering the history of the ARPANET project as a vivid example of collaborative innovation, the article presents qualitative research from a historical case.

Within this framework, the article shows that benefiting from collaboration in innovation entails that the innovative organisation is capable of achieving (at least) the following tasks: to leverage complementarities between internal and external sources of innovation (design capability); to codify, capitalise and disseminate knowledge outcomes (knowledge management capability); and to align product and organisations in a dynamic way (adaptive governance capability).

This contribution is limited by looking at a single case. On the premise that model generalization depends on extensive empirical data, the current article should be considered as preliminary/exploratory research that aims at identifying the capabilities supporting collaborative innovation within knowledge‐intensive environments.

The originality of this article is to look at a historical case to elaborate on a typology of collaborative innovation capabilities.

This chapter explores the prevalent role of networks, both in person and online, in the gendered academy. The voices and reflections of women scholars are drawn upon to highlight the increasingly important role of social media in the [gendered] academy; implications of networks and social media as a contemporary networking tool are deliberated. Social media may not only boost an individual academics' visibility but also serve as a valuable and efficient networking tool, a navigational compass for academic networks. Brief tips and guidance as to making your online network work for you are also provided in the chapter.

The implementation of the Patient Protection and Affordable Care Act has facilitated the development of an innovative and integrated delivery care system, Accountable Care Organizations (ACOs). It is timely, to identify how health care managers in rural health clinics (RHCs) are responding to the ACO model. This research examines RHC managers’ perceived benefits and barriers for implementing ACOs from an organizational ecology perspective.

A survey was conducted in spring of 2012 covering the present RHC network working infrastructures – (1) Organizational social network; (2) organizational care delivery structure; (3) ACO knowledge, perceived benefits, and perceived barriers; (4) quality and disease management programs; and (5) health information technology (HIT) infrastructure. One thousand one hundred sixty clinics were surveyed in the United States. They cover eight southeastern states (Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee) and California. A total of 91 responses were received.

RHC managers’ personal perceptions on ACO’s benefits and knowledge level explained the most variance in their willingness to join ACOs. Individual perceptions appear to be more influential than organizational and context factors in the predictive analysis.

The study is primarily focused in the Southeastern region of the United States. The generalizability is limited to this region. The predictors of RHCs’ participation in ACOs are germane to guide the development of organizational strategies for enhancing the general knowledge about the innovativeness of delivering coordinated care and containing health care costs inspired by the Affordable Care Act.

RHCs are lagged behind the growth curve of ACO adoption. The diffusion of new knowledge about pros and cons of ACO is essential to reinforce the health care reform in the United States.