Collaboration,Co-Production,Networks: Convergence of theories

Abstract

This article suggests a framework to study service delivery networks that draws on the theories of collaboration, co-production, and networks combined. We introduce four dimensions of co-production under ‘coproduction-oriented collaborations’. This framework allows us to ‘zoom in and zoom out’ when we study networks. Using the case method approach, the framework is applied to analyse four networks in Singapore. Findings suggest that network process, network structure, and characteristics of actors are crucial to a network’s performance and coproduction’s effectiveness. This article also offers implications for practice that in certain contexts the usage of these concepts is for managerial effectiveness and not for enhancing democratic values.     

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.     

Managing The Environment

Abstract

The literature on network management in the public sector reports positive effects of network activity on agency performance. Current studies show however no differences between specific types of contacts in an agency's environment. The present article adopts an explorative design to study the different types of environmental actors in the networks of nine colleges for nursing studies in the Netherlands. A typology of environmental ties is introduced, and applied to the nine cases. It appears that contacts to different types of actors reflect different levels of ambition in the network management of the colleges. The level of ambition in network management appears to be associated with two indicators for college performance: it is positively associated with diploma rate, and negatively associated with drop-out rates among freshmen. These results are discussed with reference to the current literature in public network management.     

Collaborative Network Capacity

Abstract

This article argues that collaborative network success is a function of having the necessary social, knowledge, and financial capital, and the capacity to manage that capital through collaborative governance and knowledge management. This theory is examined through a comparative case study of two early childhood/school readiness networks. The evidence suggests that both collaborative governance and knowledge management enable collaborative networks to use their resources wisely and that organizational commitment to the network, the role of data collection and sharing, and the challenges of information technology all bear further investigation as important components of collaborative network capacity.     

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.     

‘One Size Does Not Fit All’

Abstract

The article presents a comparative analysis of mandatory networks used as an integrated part of local governance of the primary medical service in Norway, and their management. Both the networks and their management showed considerable variation in their basic characteristics, and three different management roles are described: ‘the diplomat’, ‘the adversary’ and ‘the equal partner’. The article argues that the managerial role of a network is a result of, as well as inflicting on, the distribution of power between the participants in the network.     

The dynamic nature of HRM implementation: a structuration perspective

Abstract

Over the past decades, scholars have dedicated substantial attention to the process of HRM implementation. Most progress has been made with debates on HRM system strength, roles of organisational actors in HRM implementation, and intended, actual and perceived HRM. In this paper, we challenge the current view on HRM implementation as being too static and one-directional. By building on structuration theory, we show that the process of HRM implementation is less straightforward than has been previously assumed. After their initial introduction, HRM practices evolve through turbulent developments. Furthermore, instead of neatly distributed roles following meticulously scheduled planning, HRM practices are influenced by various organisational actors. For successful implementation, HRM practices need to become inscribed into the interpretive schemes of organisational actors, resources have to be distributed, the HRM practice has to gain legitimacy. We develop a comprehensive framework that assists in understanding the process of HRM implementation.     

NOTES ON CONTRIBUTORS

Abstract

Within public administration and policy sciences the concept of policy networks nowadays is well accepted. Not much attention has been paid so far to strategies aimed at institutional design. Therefore, in this article, we develop a conceptual framework to study institutional design more thoroughly. We do this by specifying the nature and variety of institutional rules that guide the behaviour of actors within networks. Given this categorization of rules, we identify possible strategies to change network rules. Next, we focus on the strategic context of attempts to influence the nature of institutional rules: the process of institutional design. We conclude with suggestions to apply the conceptual framework to empirical research into the forms, impacts and implications of attempts to change the institutional features of policy networks.     

Structural embeddedness and organizational social outcomes in a centrally governed mental health services network

Abstract

This article is an examination of the effects of network involvement, or structural embeddedness, on three organizationally based social outcomes. Specifically, we argue that in centralized, publicly funded networks an organization's structural embeddedness will be related to its trustworthiness, reputation and influence, as rated by other network members. Results from a network survey of a publicly funded health and human service network generally confirm our hypotheses and suggest additional work on the topic.     

Who Gets on the News? The relation between media biases and different actors in news reporting on complex policy processes

Abstract

Having a voice in media is important to gain power and legitimacy in policy processes. However, media are biased in transmitting information. Using a quantitative content analysis of ten years’ news reporting around water management policies in the Netherlands, we study how much media attention different groups of actors receive and how media biases relate to this attention. Executive politicians get on the news because of their authoritative position; less authoritative actors getting on the news is more related to information biases. Information biases can thus function as a form of checks and balances in news reporting on policy processes.     

A strategic analysis of network reliability

Abstract. We consider a non-cooperative model of information networks where communication is costly and not fully reliable. We examine the nature of Nash networks and efficient networks. We find that if the society is large, and link formation costs are moderate, Nash networks as well as efficient networks will be ‘super-connected’ i.e. every link is redundant in the sense that the network remains connected even after the link is deleted. This contrasts with the properties of a deterministic model of information decay, where Nash networks typically involve unique paths between agents. We also find that if costs are very low or very high, or if links are highly reliable then there is virtually no conflict between efficiency and stability. However, for intermediate values of costs and link reliability, Nash networks may be underconnected relative to the social optimum.     

Developing relationships in innovation clusters

ABSTRACT

This study assesses the composition of micro-level behaviours embedded within innovation clusters. Drawing on network theory of innovation, we examine the relational complexities of a specific university-business form of clustered exchange to characterise the actor level behaviours that influence the breadth and spread of network involvement. Whilst some current research posits behavioural attributes of clustered networks, there have been few studies that have focused on the extent of influence that individuals have on the development of value creating relationships, the roles individuals play and the various factors that have the potential to impact their effectiveness. This conceptual development study provides insights into the actor-level behavioural features that play a central role in promoting the innovation effectiveness of these regions. The findings of this three year long ethnographic study suggest that in the face of resource constraints individuals act as agents in creating and sourcing external input for the benefit of their projects. This has implications for policy-makers as well, as our findings suggests that policies should be shaped to provide enabling factors for boundary-spanning, thus allowing relationships to be equipped with the ability to manage complex partner contexts to access the benefits of diversity.     

HRM implementation by multiple HRM actors: a social exchange perspective

Abstract

In this study, we understand HRM implementation as a social process that depends on the social exchange relationships between line managers and both HRM professionals and employees. As such, we offer a fresh approach to understanding HRM implementation by concentrating on the social exchange among HRM actors. We do so by investigating to what extent these exchange relationships influence HRM implementation, as reflected in employees’ perceptions of the presence of HRM practices and their affective commitment. We collected multilevel data from two sources (line managers and employees) and in two phases in a Dutch engineering firm, and obtained fully matched manager – employee information from 75 employees and 20 line managers. Our results show that employees perceive a larger number of HRM practices when they have a good relationship with their line managers and when their line managers are motivated to implement HRM practices. Line managers, in turn, reciprocate perceived support from the HRM department with greater motivation to implement these practices. We conclude that because HRM actors engage in social interactions, HRM practices will be implemented at the organizational level because employees perceive the presence of HRM practices and then reciprocate this with affective commitment.     

Swedish BioTech SMEs: The veiled values in online networks

For many years, sociologists have conceptualized and debated the value of ‘social capital’, the resources embedded in an actor's social network. The notions of network organizations and strategic alliances have become important forms of entrepreneurial venture, yet often the value in these networks is veiled by network complexity. These associations of individuals and organizations are typically undocumented, difficult to identify by third parties, and even pass unrecognized by their constituent members. They consist of informal Internet networks that are extremely valuable because of the strategic social capital embedded in them.Drawing on social network theory, this paper outlines a methodology for viewing and valuing informal Internet networks, using small-to-medium sized enterprises in the Swedish biotechnology arena as a backdrop. It demonstrates that networks can be constructed from the links between the web sites of actor firms, and that it is possible to use social network theory to identify the most prominent actors. Then, using structural hole analysis, the entrepreneurial opportunities surrounding these actors can be unveiled.     

通信网安全技术分析与研究

通信网络固有的开放性、交互性和分散互联性特征产生了许多安全问题,本文通过分析当前通信网络安全现状和存在的安全问题,从通信信道到网络信息传输安全技术上应用行之有效的防护措施,以实现对非法入侵的监测、审查和追踪网络管理,确保做到整个通信网络的安全。     

Knowledge flow and inter-firm networks: The influence of network resources,spatial proximity and firm size

The objective of this paper is to analyse the characteristics and nature of the networks that firms utilize to access knowledge and facilitate innovation. The paper draws on the notion of network resources, distinguishing two types: social capital–consisting of the social relations and networks held by individuals; and network capital–consisting of the strategic and calculative relations and networks held by firms. The methodological approach consists of a quantitative analysis of data from a survey of firms operating in knowledge-intensive sectors of activity. The key findings include: social capital investment is more prevalent among firms frequently interacting with actors from within their own region; social capital investment is related to the size of firms; firm size plays a role in knowledge network patterns; and network dynamism is an important source of innovation. Overall, firms investing more in the development of their inter-firm and other external knowledge networks enjoy higher levels of innovation. It is suggested that an over-reliance on social capital forms of network resource investment may hinder the capability of firms to manage their knowledge networks. It is concluded that the link between a dynamic inter-firm network environment and innovation provides an alternative thesis to that advocating the advantage of network stability.     

Classification of spammer and nonspammer content in online social network using genetic algorithm-based feature selection

ABSTRACT

The emergence of online social network invokes social actors to share their personal information digitally. Moreover, it provides the facility to maintain their links with people of same interest globally. Take advantage of these services; it has become a fascinating testbed to invite various threats like a spammer. Detection of spammer in OSN is one of the most critical tasks. Spammer not only spreads unwanted or bad advertisement but does certain malicious activity in others' profiles. By clearly understanding the activities of different threats, some incremental and accurate approaches are needed for detecting spammer content and profiles involved in these activities by using social network services. Therefore, the focus of this article is to detect spammer content and account, specifically on the leading microblogging platform called Twitter. We propose a hybrid approach which leverages the capabilities of various machine learning algorithms to separate spammer and nonspammer contents and account. Initially, the optimisation algorithm called genetic algorithm analyses the various features and selects the best suitable features that influence the behaviour of user account, and these features are then used to train classifiers. Our framework achieved to severalise spammer and nonspammer content in an effective way. Finally, to prove the efficiency of our proposed framework, a comparative analysis is conducted with some existing state-of-art techniques. The experimental analysis shows that our approach achieves a high detection rate of 99.6%, which is better than other state-of-art techniques.     

Advanced manufacturing systems: supply–demand matching of manufacturing resource based on complex networks and Internet of Things

ABSTRACT

After investigation on the existing advanced manufacturing systems (AMSs), it is found that supply–demand matching of manufacturing resource is one of the common issues to be addressed in all AMSs, and methods for addressing this issue have evolved from P2P (peer-to-peer)-based, to information centre-based, and to platform (or system)-based matching, and are moving towards socialisation and service-based solutions. In order to adapt to this trend, a new method for manufacturing resource supply–demand matching based on complex networks and Internet of Things (IoT) is proposed, and a four-layered architecture for implementing this method is designed. In this method, IoT technology is employed to realise the intelligent perception and accessing of various manufacturing resources and capabilities (MR&C), which enables logical aggregation of various distributed MR&C in the form of services. Then complex networks model and theory are used to realise the efficient manufacturing service management, optimal-allocation, and supply–demand matching. In this article, the specific key technologies for implementing the method are presented, including key technologies for manufacturing service generation and aggregation, manufacturing demand/task management, supply–demand matching of MR&C in the form of services, and value/utility adding based on manufacturing service network (MSN), manufacturing task network (MTN) and manufacturing enterprises collaborative network (ECN).     

Networks in Public Administration: Current scholarship in review

Abstract

Network-focused research in public administration has expanded rapidly over the past two decades. This rapid growth has created come confusion about terminology and approaches to research in the field. We organize the network literature in public administration using compact citation networks to identify coherent subdomains focused on (1) policy formation, (2) governance and (3) policy implementation. We trace how these domains differ in their approach to defining the role of networks, relationships and actors and to what extent the articles apply formal network analysis techniques. Based on a subsequent content analysis of the sample articles, we identify promising research avenues focused on the wider adoption of methods derived from social network analysis and the conditions under which networks actually deliver improved results.     

A dynamic perspective: local interactions driving the spread of social networks

ABSTRACT

This study takes a micro standpoint to quantitatively verify the extent to which local interactions affect the expansion of dynamic social networks. By reviewing and synthesizing the theoretical literature in this article, we seek to establish a pragmatic analytical framework to capture the underlying functioning of local interactions. It then aims to produce findings on seven distinct marketing campaigns in which the real-world virtual communities offer intact time-series connections. In our considered cases, the firm-to-consumer interactivity plays a pivotal role in social media marketing while the customer-driven influence advances individual information transmission. The significant positive relationships demonstrate features of interactivity within subgroups including reciprocal edges and directed 3-cliques associated with the evolution of the virtual community by electronic word-of-mouth (WOM) of both firm-to-consumer and consumer-to-consumer interactions. More importantly, the attenuation of local interactions to a large extent leads to the cut-off point of the growth of the dynamic social network.