Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?

There is scarce empirical evidence on the impact of inter-organizational collaboration across research institutes, industries or/and universities on the scientific performance of research institutes. This paper fills this gap by examining how the research institutes’ bilateral/trilateral collaborations with industries or/and universities influence their research outputs from a network perspective. We construct a unique dataset based on the Chinese Academy of Sciences’ inter-organizational research collaboration networks with industries or/and universities, which enables us to build three homogeneous, heterogeneous and hybrid inter-organizational research networks as our multi-scenario sample. Our study confirms that the scientific performance of research institutes is significantly affected by their network positions in the research collaboration networks with industries or/and universities. Specifically, in the homogeneous “University-Research Institute” (UR) collaboration network, the degree centrality and the structural holes of the research institutes affect their scientific performance respectively in an inverted U-shaped manner and a positive linear one. By contrast, in both the heterogeneous “Industry-Research Institute” (IR) and the hybrid “Industry-University-Research Institute” (IUR) collaboration networks, the degree centrality and the structural holes of research institutes affect their scientific performance respectively in a positive linear manner and an inverted U-shaped one. Our findings indicate that the impact pattern of the network positions of innovative organizations on their performance likely varies with the network structure and composition in different inter-organizational contexts.     

How Do Social Networks Influence the Employment Prospects of People with Disabilities?

We explore the role of social networks used by people with disabilities for finding employment. In addition, we outline obstacles to network building for those with a disability. We contend that this group is often constrained and they underutilize their networks during job searches. Both factors are likely to result in negative employment outcomes and contribute to the employment gap between those with and without a disability. We outline how key network characteristics such as homophily, tie strength, and centrality influence job search outcomes for those with a disability differently than for those without a disability. Furthermore, we propose that although individuals with disabilities develop and rely upon networks that are comprised of close bonds with similar individuals that are either unemployed or underemployed in lower status positions, optimal networks for employment purposes should consist of diverse acquaintances that occupy central positions and higher status jobs within organizations. Finally, we outline propositions to guide future research on this neglected topic and also suggest practical implications.     

Quality Meets Structure: Generalized Reciprocity and Firm‐Level Advantage in Strategic Networks

In this paper we extend previous research by combining network structural and network process approaches. Specifically, in a six‐year, three‐wave study of 41 firms in two strategic networks, we found that the interaction between generalized reciprocity among a focal firm's partners and network tie intensity and betweenness centrality improved firm performance. No influences were observed for the interaction involving degree centrality and generalized reciprocity. Our research suggests that managers in strategic networks may need to consider the balance between relationship‐extensive and relationship‐intensive strategies.     

Two-mode networks: the measurement of efficiency in the profiles of actors’ participation in the occasions

In two-mode networks, the analysis of centrality aims at identifying the actors that reach predominant roles and positions by participating in the observed occasions, without investigating how they do it. In this paper, we focus on the identification of the actors who reach a significant level of connection with the others on the basis of an unsteady, but efficient, profile of participation. The concept of efficiency will be formally introduced using an axiomatic system, and extended to the network of occasions, leading to the concept of power center. We will then propose two approaches to the measurement of efficiency and power centers, based on a confrontation, namely a ratio, between actors’ and occasions’ level of social proximity and number of occasions attended (for actors), or number of participants (for occasions). The level of actors’ and occasions’ social proximity will be measured using a centrality approach. Finally, we will present an empirical application to a real two-mode network, in order to practically analyze the features and properties of the proposed indexes, and to compare them with the main centrality measures.     

The Contingent Effects of Social Network Sparseness and Centrality on Managerial Innovativeness

Prior research has highlighted that network sparseness and network centrality enhance innovativeness through access to information and influence, respectively. We advance this perspective by exploring the extent to which individual actions are needed to mobilize information and influence accessed through social networks, and whether such information and influence would mutually reinforce to enhance managerial innovativeness. Our findings found partial support for the idea that actions are needed to actualize potential resources embedded in social networks, as centrally positioned managers enjoy higher innovativeness when they engage in ambassador activities. We also found that advice network sparseness and advice network centrality had independent, not interactive relationships with managerial innovativeness, suggesting that they offer distinct routes to achieving managerial innovativeness. Overall, our research clarifies the relationships of two important social network attributes on managerial innovativeness, and also sheds new light on how managerial action matters in realizing social network advantages for innovative ends.     

Research on e-commerce transaction networks using multi-agent modelling and open application programming interface

We provide a formal definition of an e-commerce transaction network. Agent-based modelling is used to simulate e-commerce transaction networks. For real-world analysis, we studied the open application programming interfaces (APIs) from eBay and Taobao e-commerce websites and captured real transaction data. Pajek is used to visualise the agent relationships in the transaction network. We derived one-mode networks from the transaction network and analysed them using degree and betweenness centrality. Integrating multi-agent modelling, open APIs and social network analysis, we propose a new way to study large-scale e-commerce systems.     

The method of leader's overthrow in networks based on Shapley value

Quantitative methods for leaders' detection and overthrow are useful tools for decision-making in many real-life social networks. In the given research, we present algorithms that detect and overthrow the most influential node to the weaker leadership positions following the greedy method in terms of structural modifications. We employ the concept of Shapley value from the area of cooperative game theory to measure a node's leadership and to develop the leader's overthrow algorithms. Specifically, we introduce a quantitative approach to analyze prospective structural modifications in social networks to make the initially identified network leader less influential. The resulting mechanism is based on the symbiosis of game-theoretic and algorithmic concepts. It presents a useful tool for the technical analysis of the primary structural data in the initial steps of multifaceted quantitative network analysis where the raw data (i.e., linkages) is frequently the only knowledge about interrelations in social networks.     

Performance implications of centrality in franchisee advice networks

Although the literature has provided ample evidence for the decisiveness of the franchisor–franchisee relationship in explaining organizational success or failure, performance effects of franchisee–franchisee relationships remain largely unexplored. Yet a growing body of research indicates that by building interfranchisee relationships, franchisees can form advice networks in the chain. Such networks offer privileged access to resources such as knowledge, information, and best practices that help individual franchisees to become more productive. In this context, we study linkages between a franchisee's centrality in franchisee relationships and various individual performance outcomes, using comprehensive data from franchisees in 3 different chains in the largest European franchise market, France. We find that conditional on the specific governance structure of each chain, the results document a strong impact of centrality in advice networks on franchisee performance. Accordingly, we offer theoretical contributions concerning knowledge‐sharing processes in franchise chains, and managerial implications as regards more effective cooperation management in practice, from the perspective of both a franchisee and a franchisor.     

A journey of social sustainability in organization during MDG & SDG period: A bibliometric analysis

Organizational sustainability is a multi-facet paradigm widely used to address perennial business challenges such as climate change, industrial waste, the economies of scale and social well-being, etc. In the last three decades, extensive research has been performed on ecological or economic sustainability, ignoring the third pillar of sustainability. Given the importance of humans and society-a center-stage of inclusive development-this paper aims to conduct a bibliometric analysis to examine the growth of organizational social sustainability (OSS) from 2000 to 2021 during MDG & SDG periods. A total of 1566 publications are analyzed using Scopus and the Web of Science (WoS) database. Citation networks, bibliographic coupling, and thematic mapping have explored influential work, intellectual structure, and research gaps. The study findings demonstrated that most publications are during the SDG period, with Sustainability as the most productive journal and the USA as the most contributing country. The top 10 active institutions are from Australia, France, and Spain. The top contributing authors are from France, but the USA is at the top in citations. Contributions are lacking from large portions of Africa. Keyword analysis showed that “social sustainability,” “sustainable development,” “environmental sustainability,” “sustainable supply change management,” “circular economy,” and “social life cycle assessment” are the main topics. Keyword analysis and thematic mapping show that despite increased publications in the field of organizational social sustainability, OSS research is still far from focusing on the stakeholders' benefits, satisfaction, and subjective well-being. Moreover, quantitative assessment of OSS based on sustainability standards such as Global Reporting Initiatives (GRI) and Value Reporting Foundation (VRF) standards was found scant in the given field. The present research concluded with scope and opportunity for future research in the area of OSS.     

Cultural value orientations of the former communist countries: a gender-based analysis

This article argues that there is a trend towards enterprise unionism in a number of countries. The authors begin by defining enterprise unionism and developing a framework of analysis in terms of activities, governance, and resources. Utilizing this framework, six countries – Japan, US, France, Germany, UK and Australia – are examined. The trend towards enterprise unionism is best seen in terms of collective bargaining and joint consultation. The authors then consider various explanations for this tendency, including unions and their members, the state, and employers in their market context. This is followed by a discussion of the implications, which may be drawn, and the research gaps, which need to be filled.     

Retracted: Dynamics of Unclosed Triangles in Alliance Networks: Disappearance of Brokerage Positions and Performance Consequences

We depart from previous research on brokerage advantages in interorganizational networks by shifting focus to the dynamics of brokerage positions. We investigate causes of the disappearance of these positions and its influence on organizational performance. Using a subnetwork consisting of a broker and its two partners as the unit of analysis, we postulate that the brokerage position disappears either when the two partners develop ties or when the ties between the broker and the partners dissolve. We predict that the patterns of interactions in which this subnetwork is embedded exert multilevel influences on the disappearance, and that embedded structures promoting persistence constrain brokerage advantages. Our analysis of codeshare alliance data in the global airline industry supports the theory and demonstrates that the persistence of brokerage positions decreases broker performance. The findings explain why brokerage positions rarely persist and why the persistence of brokerage positions does not benefit brokers.     

Urban Distinctions: Class,Culture and Sociability in the City of Porto

This essay employs Pierre Bourdieu's theory of practice and the methodology of Multiple Correspondence Analysis (MCA) to extend the mapping of the dynamic relations between class and culture presented in Bourdieu's Distinction to encompass urban space, drawing on data from a multi‐method research project on the city of Porto, Portugal. We present a detailed analysis of the formation and structure of local social space and show its relevance for the study of the (re)production of urban lifestyles. Differences in the volume and composition of the capital of city residents are identified and shown to underpin the relations between social positions, dispositions and position takings in various realms of cultural consumption. Meaningful configurations of ‘lifestyle modalities’ have clear roots in the city's social space, which in Portugal, as in France, can be interpreted in terms of distinction, pretension and necessity.     

Network analysis approach to map tourism mobility

The spatial distribution of tourists is uneven and it can include some areas at regional and/or sub-regional level. The social–economic and environmental impacts of tourism, are concentrated in different areas. Some recent contributions show the usefulness and the effectiveness of network analysis (NA) approach in revising the organization of tourist facilities and services. This paper proposes to apply methods borrowed from NA to map the spatial distribution of tourism mobility in Sicily. So, we analyze the network features of tourism in a multi-destinations net. By means of traditional measures of NA, we propose to measure the links among destinations. The study aims to connect destinations, represented as nodes, to define a territorial network of tourism demand. In the specific instance, the degree centrality, closeness centrality, betweenness centrality are used to localize central areas and the main routes. We test survey data collected on a sample of tourists leaving from airports and ports of the main Sicilian cities, who visited two destinations at least. Then, we study tourism mobility on those areas selected by tourists. Finally, employing measures derived from NA, the work attempts to set out territorial networks. This approach could be useful to plane tourism development policies.     

Overcoming equivocality on projects in the fuzzy front end: Bringing social networks back in

The management of the fuzzy front end (FFE) phase of innovation is crucial to the ultimate success of new product and process initiatives. A critical challenge that teams face at this stage is dealing with equivocality – the extent to which project participants grapple with multiple, and plausibly conflicting, meanings and interpretations of the information available to them (Daft and Lengel, 1986; Weick, 1979). While initially, a certain level of equivocality is beneficial for enhancing teams’ creativity and preventing early closure, at some point it must be resolved in order for an idea to become a viable New Product Development (NPD) project. This study employs a social networks perspective to understand how different types of informal work-based relations and their structural properties affect equivocality on project teams in the FFE. In particular, it examines the structural effects of two types of social relations and their associated networks—those of technical-advice and friendship ties. The findings suggest that while high density in projects’ technical-advice network is likely to reduce equivocality, high density in projects’ friendship network is likely to increase it. More interestingly, having multiple members on projects who are highly central in the lab's technical-advice network tends to increase equivocality unless it is balanced with members who occupy positions of high centrality in the lab's friendship network. In addition to contributing to the scholarship on NPD, FFE, and social networks, the results offer managerial insights for deploying social networks in order to assemble NPD teams and structure the flows of communication on projects so as to resolve equivocality in the FFE.     

国有企业双重目标与投资效率改进——基于独立董事网络和国企混改视角

立足国有企业具有社会和经济双重目标的理论逻辑,本文选取2007~2016年A股国有上市公司作为研究样本,分析了独立董事网络和国有股比例对投资效率的影响以及调节效应。研究发现:独立董事网络降低了国有上市公司的投资效率,较高比例的国有持股抑制了投资效率,但当国企更加关注经济目标时,则有助于改善投资效率;进一步研究发现,相比于特定功能类企业,独立董事网络在商业竞争类企业中发挥投资效率的改善作用更加显著。因此,独立董事应因地制宜在国企中发挥治理作用;政府应分类推进国企混合所有制改革;竞争性国企应引入较大比例的优质民营资本,优化投资决策、提高投资效率。     

Beyond the “ivory tower”. Comparing academic and non-academic knowledge on social entrepreneurship

The increasing relevance of societal challenges has recently brought social entrepreneurship to the fore due to its capacity to leverage entrepreneurial processes to achieve social value while ensuring profits. In this study, we apply an experimental research method to analyse the concept of social entrepreneurship comprehensively. More specifically, we develop bibliometric analysis and web crawling techniques to gather information related to social entrepreneurship from Scopus and Wikipedia. We conduct a comparative network analysis of social entrepreneurship’s conceptual structure at academic and non-academic levels. This analysis has been performed considering scientific articles’ keywords and Wikipedia webpages’ co-occurrences, enabling us to identify four different thematic clusters in both cases. Moreover, plotting the centrality and density of each cluster on a bi-dimensional matrix, we have sketched a strategic diagram and provided the thematic evolution of this research topic, based on the level of interaction among clusters, and the degree of cohesion of keywords in each cluster. This paper represents one of the first attempts in the entrepreneurship literature to shed light on the conceptual boundaries of a research topic based on the analysis of both a scientific and an open-source knowledge database. Our results reveal similarities and discrepancies between those two different sources of knowledge, and outline avenues for future studies at the intersection between social entrepreneurship and the research domains of digital transformation, performance measurement, entrepreneurial ecosystems, and ethics. We also call for a further conceptualisation of social entrepreneurship in the face of the increasing complexity that characterises grand challenges.

     

Interference among conflicting institutions and technical-economic conditions: the adoption of the Assessment Center in French,German, Italian,UK, and US multinational firms

We analyze the adoption of the Assessment Center (AC), one of the most complex human resource management techniques, in 161 British, French, German, Italian and US multinational firms both at the headquarters and in their Italian subsidiaries. Combining both quantitative analysis and qualitative accounts, we investigate how different and partially contradictory institutional influences stemming from national business systems and professions, global corporate networks and professions, and different technical-economic conditions affect the adoption of the AC. Our study shows that AC-diffusion is similar at headquarters level in all national contexts, testifying to the paramount importance of transnational institutions of Anglo-American origin for MNCs of any nationality, despite great local variation in the degree of institutionalization of the AC, which ranges from fully-fledged support in culture and the professions as, for example, in Germany, the UK and the USA, to weak or negative backing as in France and Italy. However, the study also reveals how different characteristics of the corporate field of firms with headquarters in different countries, as well as organizational size and labor market conditions, still explain adoption of the AC in their subsidiaries in Italy.     

Dynamics of social economy self-organized on social media: following social entrepreneur forum and social economy network on Facebook

Since the Korean government enacted the Social Enterprise Promotion Act of 2007 aiming to foster and support social enterprises, discourse on the social economy has proliferated both quantitatively and qualitatively. One explanation for this phenomenon is that government-driven policies have dominantly led social enterprises to the ecology of the social economy. To cope with pernicious issues such as unemployment, growing demand for welfare, and the widening gap between rich and poor, however, it cannot be discounted that social activists and nonprofits also have facilitated the development of social enterprises by building online and offline networks. To fill this niche of applying these concepts to the Asian context, this research aims to investigate the ecology of the social economy by analyzing critical stakeholders and keywords embedded in self-organizing networks on social media. This case is critical and attractive to researchers and practitioners not only because the discourse on social economy has not been fully examined but also because self-organizing networks on social media act as social capital among stakeholders and thus offer valuable insights into dealing with the enduring problems that government-driven policies seem unsolvable. By analyzing the evolution of self-organizing social economy networks and social entrepreneurs on Facebook, this research provides policy implications for other Asian countries with underdeveloped social economies and theoretically contributes to the field of public policy analysis and management.     

What do we [not] know about technology entrepreneurship research?

This study aims to review what we do (and do not) know about technology entrepreneurship (TE) research to date. Based on a categorized bibliometric analysis resulting from a systematic review of 135 scientific articles published in refereed journals over the past 27 years (1986–2013), we identify the core domains of TE, its intellectual structure, the scientific journals with a major impact in this field of research, and the affiliation and collaboration networks within it. Specifically, through a detailed analysis of article co-citations within the TE area, this study provides co-citation networks of authors, journals, and their respective clusters, revealing their rankings in terms of contributions to the TE literature. This comprehensive analysis can be used to enhance our understanding of TE and support further research in this field.     

Business Success Through Social Networks? A Comment on Social Networks and Business Success

In the literature on entrepreneurship in developing countries, the argument that social networks are an essential factor for entrepreneurial success has been given considerable attention. This article challenges this one-sided view by pointing out negative and restrictive effects of social networks on entrepreneurial success in particular, and on economic development in general. The article is structured as a comment on Kristiansen (2004 ), who worked on social networks and conducted field research in the city of Tanga, Tanzania, similar to the author, who had done the same two years previously. The findings from a six-month field research are used in order to articulate important aspects left out in Kristiansen's discussion.