Since the SARS crisis in 2003, institutionalized emergency management systems have been established in each government level for improving inter-organizational collaboration in China. Major accidents require participation of public organizations affiliated with multiple government levels, and the lack of collaboration and coordination among the involved organizations within the critical time constraints during the response process is an existing problem. In this research, a case study of examining the intergovernmental and cross-sectoral collaboration for responding to a well-known oil pipeline explosion accident (...) in China by a complex network method is conducted. The aim is to obtain managerial insights in improving the existing emergency management system in a centralized political-administrative context, such as China. A mixed method of data collection is applied to identify the participating organizations and to determine the interaction spanning organizational boundaries in both hierarchical and horizontal dimensions. An emergency response network is built and visualized for representing intergovernmental and interorganizational collaboration during the response process of the major accident by social network analysis tools. The SNA indicators are used to measure quantitatively the network structure at the levels of the whole network, subnetwork, and node. The obstacles of achieving intergovernmental collaboration are found, and managerial suggestions for improving the existing emergency management system are provided. This research indicates that the Chinese government should pay attention to establishing and sustaining partnerships with private and nonprofit organizations and conduct a blend of hierarchical, market, and network principles in fostering collaboration for addressing major accidents. The public organizations in the local government level are shown to be more active than other participators in coordinating their response operations, and their capability should be emphasized for improvement. Additionally, the interactive relationships among specific emergency function groups and between the affected communities and organizations performing emergency command and coordination function should be strengthened. (shrink)

With the increasing attention to climate change, air pollution, and related public health issues, China’s new energy vehicles industry has developed rapidly. However, few studies investigated the evolution of interorganizational collaborative innovation networks in the sector domain of NEVs and the influence of different drivers on the establishment of innovation relationships. In this context, this paper uses the joint invention patent of Shenzhen, a low-carbon pilot city of China, to investigate the dynamics of network influencing factors. The social (...) network analysis shows that the scale of coinvention network of NEVs is constantly increasing, which is featured with diversified cooperative entities, and collaboration depth is also expanding. The empirical results from the Exponential Random Graph Model demonstrate that, with the deepening of collaborative innovation, technological upgrading caused by knowledge exchange makes organizations in the network more inclined to cognitive proximity and less dependent on geographical proximity. In addition, organizational proximity and triadic closure contribute positively to the collaborative network, with their relevance remaining nearly the same, while the impeding effect of cultural/language difference is slightly decreasing with time. (shrink)

ABSTRACT:Alasdair MacIntyre’sAfter Virtuehas made a significant impact within business ethics. This impact has centered upon applications of the virtues-goods-practices-institutions schema (Moore & Beadle, 2006). In this article, I develop an extension of the practices-institutions schema (Moore, 2017), drawing upon MacIntyre’s later text,Dependent Rational Animals. Two key concepts drawn from this text are “networks of giving and receiving” and “the virtues of acknowledged dependence.” Networks of giving and receiving are non-calculative relationships that enable participants to cope with vulnerability. These relationships are (...) sustained by the virtues of acknowledged dependence, including just generosity,misericordia,and beneficence, virtues that direct participants to treat the needs of others as reasons for action. Drawing upon research in social network theory, I develop an example illustrating the application of these concepts within an organizational and interorganizational context. I then suggest a number of applications and research questions related to this extension of the practices-institutions schema. (shrink)

Meta-governance is Earth system governance for dealing with the global commons. This article develops a whole network approach to meta-governance to explore the potential for collective action for sustainable development by a loosely coupled network of networks. Networked corporate social responsibility governance has emerged around corporate sustainability and responsibility in the first years of the 21st century. Growing agreements and interactions among CSR initiatives suggest the development, structure, and governance of networked CSR governance as a network that (...) can analytically be viewed as a whole and as a platform for learning about systemic change. Using the evolution of CSR initiatives from about 1990 to 2014, the authors differentiate four developmental stages: independent and fragmented multistakeholder networks as CSR governance, collaborative CSR governance, networked CSR governance, and integrated networked CSR governance. The authors then present a framework to analyze networked CSR governance as a whole network experimenting with meta-governance. (shrink)

This special issue on network ethics offers 15 scholarly articles from a variety of disciplines and fields of study, all aimed at exploring some important aspect of how networks develop, enact, and enforce ethical norms. The articles are ordered according to the levels of analysis each deals with, ranging from the cognitive/intra-personal to the systemic/societal. Taken together, these articles provide a fresh look at how networks are changing the way business is done and the way we think about ethics.

Although the characteristics and advantages of interorganizational governance models based on extensive collaboration are well established in the literature, inquiry has only recently extended to sustainable supply chain management, highlighting the potential benefits of combining the integration of social and environmental issues concerning the supply chain with governance models based on joint decision making and extensive cooperation. Yet, firms still differ in both the pervasiveness of such collaborative approaches along the value chain and the extent to which sustainability issues (...) are addressed to the advantage of all parties involved. In an attempt to predict variety in the governance models related to sustainability along the value chain, we propose a theoretical model that identifies and frames four sustainable supply chain governance (SSCG) models, resulting from combinations of supply chain network density and centrality of the focal organizations. We show how, as centrality increases, firms are able to exert influence over their network, coordinating integrated approaches along the value chain. Moreover, as high centrality combines with increasing interconnectedness of the actors within a supply chain network, instrumental approaches are progressively replaced by more relational attitudes aimed at joint value creation among partners. Conditions for SSCG models' success and the main benefits gained by firms in different structural contexts are also discussed. (shrink)

Social network analysis has gained increasing academic attention in the construction domain over the past two decades due to its capability to characterize the complexity and dynamics of interindividual and interorganizational interactions. To date, however, scant attempt has been made to develop an integrated framework to systematically review the diversified network research at different levels in this domain and to quantitatively characterize the evolution of related research interests and research instruments. This study aims to fill this gap (...) by conducting a bibliometric-qualitative review based on 106 papers published from 1997 to 2020. Keyword cooccurrence analysis is employed to reveal the research foci, identify the research trends, and develop a comprehensive categorization framework, which classifies related research based on two interrelated dimensions: the type of network node and the levelof network analysis. The framework then facilitates further content analysis in terms of research topics, research designs, and research instruments. The results provide evidence that the research foci in this domain are generally moving towards addressing the complexity and dynamics of project-related relations at more diversified levels, in terms of not only research topics but also research instruments. Future research can be enriched by investigating the multiple types of dynamic interproject relationships, adopting state-of-the-art methodologies for network data collection and triangulation, and employing multiple SNA constructs and inferential statistical methods to reveal how complex networks coevolve and interact with actors’ behaviors as well as project and organizational outcomes. (shrink)

The organisation of health care is rapidly changing. There is a trend to move away from individual health care institutions towards transmural integrated care and interorganizational collaboration in networks. However, within such collaboration and network there is often likely to be a pluralism of values as different health care institutions often have very different values. For this paper, we examine three different models of how we believe institutions can come to collaborate in networks, and thus reap the potential (...) benefits of such collaboration, despite having different moral beliefs or values. A first way is the pragmatic way in which the different health care institutions avoid ethical reflection and focus on solutions. A second possible route is that of consensus where health care institutions base their collaboration on values that they all share. The third, and final, approach is that of compromise. Although moral compromise is often seen in a negative light, we argue that in many cases compromise might be necessary and ethically justified. In a final section, we will shift our focus from discussing various theoretical methods to allow collaboration to the potential content of consensus or compromise. (shrink)

Health care organization is entering a new age. Focus is increasingly shifting from individual health care institutions to interorganizational collaboration and health care networks. Much hope is set on such networks which have been argued to improve economic efficiency and quality of care. However, this does not automatically mean they are always ethically justified. A relevant question that remains is what ethical obligations or duties one can ascribe to these networks especially because networks involve many risks. Due to their (...) often amorphous and complex structure, collective responsibility and accountability may increase while individual responsibility goes down. We argue that a business ethics approach to ethical obligations for health care networks, is problematic and we propose to opt for a patient perspective. Using the classic four principles of biomedical ethics it is possible to identify specific ethical duties. Based on the principle of justice, health care networks have an ethical duty to provide just and fair access for all patients and to be transparent to patients about how access is regulated. The principle of nonmaleficence implies an obligation to guarantee patient safety, whereas the principle of beneficence implies an obligation for health care networks to guarantee continuity of care in all its dimensions. Finally, the principle of autonomy is translated into a specific obligation to promote and respect patient choice. Networks that fail to meet any of these conditions are suspect and cannot be justified ethically. Faced with daunting challenges, the health care system is changing rapidly. Currently many hopes ride on integrated care and broad health care networks. Such networks are the topic of empirical debate, but more attention should be given to the ethical aspects. Health care networks raise new and pressing ethical issues and we are in need of a framework for assessing how and when such networks are justified. (shrink)

Using the symbiotic sustainability model as a framework, this research investigates how many and with which businesses top nonprofit organizations report partnerships. We examined the websites of the 122 largest, most recognizable U.S. nonprofits. These websites included information about 2,418 business–nonprofit partnerships with 1,707 unique businesses. The results suggest key differences with previous research on how U.S. Fortune 500 companies report B2N partnerships. Leading nonprofits report more B2N partnerships than U.S. Fortune 500 companies do. Furthermore, nonprofits do not maintain industry (...) exclusivity in reporting B2N partnerships, like their business counterparts do. Finally, social issue industries do not exert the same isomorphic pressures on B2N partnerships that economic industries do. New propositions that extend the symbiotic sustainability model are presented to account for nonprofits’ unique goals for capital accumulation in B2N partnering and the industry characteristics. (shrink)

According to modern organizational theory, the growth of companies in developing nations is due to the coming together of public and private sector interorganizational networks and globalization. Within an open system and a very dynamic environment, a corporation cannot work autonomously. Here are the objectives of the study: The goals of this research are threefold: first, to learn how Thai SMEs expanded into BRICS countries; second, to find out what kinds of inter-organizational networks Thai SMEs relied on when going (...) global; and third, to give some advice to Thai SMEs that want to expand internationally in BRICS and to the Thai government on how to set up management networks that help with investment and internationalization. Documentary analysis of the database from the office of small and medium enterprise promotion and in-depth interviews were among the qualitative approaches employed in this study. This study examined 76 individuals from Thailand who were considered significant informants due to their extensive understanding of developing markets, namely those in the BRICS countries. A total of 63 executives responsible for overseeing their businesses' activities in the BRICS nations, together with 10 operational officers and 3 government officials, were chosen as key informants. In order to get trustworthy information for this study, the researcher used the triangulation method. Executives and government officials with operational responsibilities inside government agencies were interviewed in-depth, and their data was cross-referenced with that from pertinent papers. Thai SMEs were affected by the BRICS countries' political, legal, and socio-cultural frameworks, according to the study. Companies in the BRICS countries went global for three main reasons: to tap into untapped markets, to boost operational efficiency, and to secure access to critical resources. For Thai SMEs looking to grow their business in BRICS nations, the following factors were crucial to their success: 1) The network between different organizations; 2) the capacity to adjust to political and legal changes in BRICS countries; 3) non-formal ties; 4) the capability of local employees; 5) the appropriateness of the entrance method approach; and 6) knowledge gained from past mistakes. (shrink)

This article addresses the issue of the interface between public health and clinical health within the context of the search for networking approaches geared to a more integrated delivery of health services. The articulation of an operative interface is complicated by the fact that the definition of networking modalities involves complex intra- and interdisciplinary and intra- and interorganizational systems across which a new transversal dynamics of intervention practices and exchanges between service structures must be established. A better understanding of (...) the situation is reached by shedding light on the rationale underlying the organizational methods that form the bases of the interface between these two sectors of activity. The Quebec experience demonstrates that neither the structural-functionalist approach, which emphasizes remodelling establishment structures and functions as determinants of integration, nor the structural-constructivist approach, which prioritizes distinct fields of practice in public health and clinical health, adequately serves the purpose of networking and integration. Consequently, a theoretical reframing is imperative. In this regard, structuration theory, which fosters the simultaneous study of methods of inter-structure coordination and inter-actor cooperation, paves the way for a better understanding of the situation and, in turn, to the emergence of new integration possibilities. (shrink)

It is argued here that large-scale organization and networked computing enable new divisions of communicative work aimed at shaping the content, direction, and outcomes of societal conversations. The challenge for argumentation theory and practice lies in attending to these new divisions of communicative work in constituting contemporary argumentative realities. Goffman’s conceptualization of participation frameworks and production formats are applied to articulate the communicative work of organizations afforded by networked computing that invents and innovates argument in all of its senses—as product, (...) process, and procedure. Communicative work, however, may be scaffolding argumentative contexts and practices that are quite different than what has constituted past argumentative realities. The computerization of argument happens as organizations invent and innovate argument practice relative to the demands and opportunities of interorganizational communication. The cases and examples examined here suggest that argument practice is evolving around the logic of conversation and the principle of personalization. The analysis challenges argumentation theory to seriously engage with the construction of communicative contexts and the realization of ideas about disagreement management in organizational practice and information infrastructures. Directions for integrating insights from a design perspective on argument with insights from organizational and information systems theory are proposed for coming to terms with an era of large-scale organization and computerization, in particular the evolution of argument practice, the inscription of argument in the built environment, and the absorption of socio-cultural argument practices by organizations and computation. (shrink)

Why do organizations need to learn? This question will be discussed in this article, as well as the definition and characteristics of learning organizations. The reader will get a comprehensive description of a learning organization based on Peter M. Senge “The fifth discipline” to understand how a learning organization differs from traditional organizations. The final chapter will get an outlook that future learning processes within networks will have a stronger role, since it allows a better understanding between intraorganizational and (...) class='Hi'>interorganizational learning processes. Purpose of the article: This article will lead you within the topic of learning organizations. It will set a first input to different approaches how a learning organization can be defined and get established.Through this the reader will get an impression that a common vision is very important for these approches. So this article will set a first trigger for the interested reader for learning organisazations. Methodology/methods: Literature study for creation of new knowledge due to scientific work.Scientific aim: The reader will get a comprehensive description of a learning organization based on Peter M. Senge “The fifth discipline” to understand how a learning organization differs from traditional organizations due to literatur study. The article will show that there is still a lot of research potential to create a role model concept for the implementation of a learning organizsation. Findings: Due to the inconsistent research results further multifaceted approaches remain to gather further research results. As more people will be employed in organizations, communication will become a more important component within a learning organization. Furher more a common vision is very important to establish a learning organization. Conclusions : Core issue lies in questioning how learning processes of individuals and within organizations are working. The various concepts for “learning organization” describing organizational learning, to constantly expand the learning ability of organizations and, consequently, the skills to solve problems from individuals and organizations itself. Here the integrative approaches e.g. the fifth discipline try to close the research gap and clarify the phenomenon of organizational learning.. Due to the inconsistent research results further multifaceted approaches remain to gather further research results. As more people will be employed in organizations, communication will become a more important component within a learning organization.. Different approaches showed the importance of communication within learning organizations as a fundamental component of those. Following the results of these concepts, it is important to promote collective learning processes so that organizational learning can occur.. In future learning within networks will get a more and more important role, as it allows to forster the understanding between intraorganisational and interorganizational learning processes.. (shrink)

The new business opportunities and prospects emerging in Europe within the Common Market and other Western and European countries also raise important ethical challenges. This work comprises a collection of ethical insights to enhance the conduct of business in an evolving Europe.

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method (...) is suitable for the evaluation of car acceptability forecasting, can also be extended to all other areas. (shrink)

​I use network models to simulate social learning situations in which the dominant group ignores or devalues testimony from the marginalized group. I find that the marginalized group ends up with several epistemic advantages due to testimonial ignoration and devaluation. The results provide one possible explanation for a key claim of standpoint epistemology, the inversion thesis, by casting it as a consequence of another key claim of the theory, the unidirectional failure of testimonial reciprocity. Moreover, the results complicate the (...) understanding and application of previously discovered network epistemology effects, notably the Zollman effect (Zollman 2007, 2010). (shrink)

This paper develops a media theoretical extension of the communicative view on corporate social responsibility by elaborating on the characteristics of network societies, arguing that new media increase the speed and connectivity, and lead to higher plurality and the potential polarization of reality constructions. We discuss the implications for corporate social responsibility of becoming more polyphonic and sketch the contours of “communicative legitimacy.” Finally, we present this special issue and develop some questions for future research.

This article addresses the ability of Parallel Distributed Processing (PDP) networks to generate stagewise cognitive development in accordance with Piaget's theory of cognitive epigenesis. We carried out a replication study of the simulation experiments by McClelland (1989) and McClelland and Jenkins (1991) in which a PDP network learns to solve balance scale problems. In objective tests motivated from catastrophe theory, a mathematical theory of transitions in epigenetical systems, no evidence for stage transitions in network performance was found. It (...) is concluded that PDP networks lack the ability to recover the positive outcomes of analogous catastrophe analyses of real cognitive developmental data. In an attempt to further characterize the learning behaviour of PDP networks, we carried out a second simulation study using the discrimination‐shift paradigm. The results thus obtained indicate that PDP learning is compatible with the learning of stimulus‐response relationships, not with the acquisition of mediating rules such as conceived in (neo‐)Piagetian theory. In closing, we speculate about the feasibility of simulating stagewise development with alternative network architectures. (shrink)

Topics in Cognitive Science, Volume 14, Issue 1, Page 54-77, January 2022.

Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to (...) predict whether a person is diabetic or not. The criterion was to minimize the error function in neural network training using a neural network model. After training the ANN model, the average error function of the neural network was equal to 0.01 and the accuracy of the prediction of whether a person is diabetics or not was 87.3%. (shrink)

The purpose of this paper is to present a formal model of social net- works suitable for studying questions in social epistemology. We show how to use this model, in conjunction with a computer program for simulating groups of inquirers, to draw conclusions about the epistemological prop- erties of different social practices. This furnishes us with the beginnings of a systematic research program in social epistemology, from which to approach problems pertaining to epistemic value, optimal organization, and the dynamics of (...) multi-agent inquiry. (shrink)

Research programs regularly compete to achieve the same goal, such as the discovery of the structure of DNA or the construction of a TEA laser. The more the competing programs share information, the faster the goal is likely to be reached, to society’s benefit. But the “priority rule”-the scientific norm according to which the first program to reach the goal in question must receive all the credit for the achievement-provides a powerful disincentive for programs to share information. How, then, is (...) the clash between social and individual interest resolved in scientific practice? This chapter investigates what Robert Merton called science’s “communist” norm, which mandates universal sharing of knowledge, and uses mathematical models of discovery to argue that a communist regime may be on the whole advantageous and fair to all parties, and so might be implemented by a social contract that all scientists would be willing to sign. (shrink)

Multi-stakeholder initiatives are increasingly used as a default mechanism to address human rights challenges in a variety of industries. MSI is a designation that covers a broad range of initiatives from best-practice sharing learning platforms to certification bodies and those targeted at addressing governance gaps. Critics contest the legitimacy of the private governance model offered by MSIs. The objective of this paper is to theoretically develop a typology of MSIs, and to empirically analyze the legitimacy of one specific type of (...) MSI, namely industry-specific MSIs. We argue that industry-specific MSIs that set out to govern corporate behavior have great potential to develop legitimacy. We analyze two industry-specific MSIs—the Fair Labor Association and the Global Network Initiative—to get a better understanding of how these MSIs formed, how they define and enforce standards, and how they seek to ensure accountability. Based on these empirical illustrations, we discuss the value of this specific MSI model and draw implications for the democratic legitimacy of private governance mechanisms. (shrink)

Previous neural network models of concept learning were mainly implemented with supervised learning schemes. However, studies of human conceptual memory have shown that concepts may be learned without a teacher who provides the category name to associate with exemplars. A modular neural network architecture that realizes concept acquisition through two functionally distinct operations, categorizing and naming, is proposed as an alternative. An unsupervised algorithm realizes the categorizing module by constructing representations of categories compatible with prototype theory. The naming (...) module associates category names to the output of the categorizing module in a supervised mode. In such a modular architecture, the interface between the modules can be conceived of as an “information relay” that encodes, constrains, and propagates important information. Five experiments were conducted to analyze the relationships among internal conceptual codes and simple conceptual and lexical development. The first two experiments show a prototype effect and illustrate some basic characteristics of the system. The third experiment presents a bottom‐up model of the narrowing down of children's early lexical categories that honors mutual exclusivity. The fourth experiment introduces top‐down constraints on conceptual coding. The fifth experiment exhibits how hierarchical relationships between concepts are learned by the architecture, and also demonstrates how a spectrum of conceptual expertise may gradually emerge as a consequence of experiencing more with certain categories than with others. (shrink)

A complex brain network, centered on the hippocampus, supports episodic memories throughout their lifetimes. Classically, upon memory encoding during active behavior, hippocampal activity is dominated by theta oscillations (6-10Hz). During inactivity, hippocampal neurons burst synchronously, constituting sharp waves, which can propagate to other structures, theoretically supporting memory consolidation. This 'two-stage' model has been updated by new data from high-density electrophysiological recordings in animals that shed light on how information is encoded and exchanged between hippocampus, neocortex and subcortical structures such (...) as the striatum. Cell assemblies (tightly related groups of cells) discharge together and synchronize across brain structures orchestrated by theta, sharp waves and slow oscillations, to encode information. This evolving dynamical schema is key to extending our understanding of memory processes. (shrink)