92 resultados para Actor-network theory


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The emergence of as developed by the International Integrated Reporting Council (IIRC) is traced from antecedent concepts of integrated reporting and earlier voluntary corporate reporting initiatives. The paper uses actor network theory and its conceptions of detour, affordance and laboratory to examine the development of while still controversial and where meanings remained open and malleable to the inscription of interests from a wide coalition of actors. The programme of action is interpreted through interviews with key individuals, official documents, publications and integrated reports circulated by the IIRC. The analysis highlights the imperatives of private standard setters and indicates how integrated reporting corporate governance regulation in South Africa provided a laboratory prototype for reshaping the UK Connected Reporting initiative into the IIRC framework. The analysis reveals important detours and the associated affordances made during the development of : (a) the repositioning of in the corporate reporting infrastructure to ensure that it did not usurp the pre-existing frameworks of supporting actors; and (b) the specification of providers of financial capital as the intended reporting audience to ensure that it could meet the interests of those actors seeking a solution for more entity-specific, communicative, de-cluttered corporate reporting.

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This paper provides an account of the way Enterprise Resource Planning (ERP) systems change over time. These changes are conceptualized as a biographical accumulation that gives the specific ERP technology its present character, attributes and historicity. The paper presents empirics from the implementation of an ERP package within an Australasian organization. Changes to the ERP take place as a result of imperatives which arise during the implementation. Our research and evidence then extends to a different time and place where the new release of the ERP software was being `sold' to client firms in the UK. We theorize our research through a lens based on ideas from actor network theory (ANT) and the concept of biography. The paper seeks to contribute an additional theorization for ANT studies that places the focus on the technological object and frees it from the ties of the implementation setting. The research illustrates the opportunistic and contested fabrication of a technological object and emphasizes the stability as well as the fluidity of its technologic.

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Community-school partnerships are an established practice within environmental science education, where a focus on how local phenomena articulate with broader environmental issues and concerns brings potential benefits for schools, community organisations and local communities. This paper contributes to our understanding of such educational practices by tracing of the diverse socio-material flows that constitute a community environmental monitoring project, where Australian school students became investigators of and advocates for particular sites in their neighbourhood. The theoretical resources of Actor-Network Theory are drawn upon to describe how the project—as conceptualised by its initiators—was enacted as both human and non-human actors sought to progress their own agendas thus translating the concept-project into multiple project realities. We conclude by identifying implications for sustaining educational innovations of this kind.

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Purpose – The purpose of this paper is to suggest how enabling policy should be focused in a knowledge economy by developing the concept of a knowledge economy social network (KESN).

Design/methodology/approach – The paper employs an interdisciplinary approach in developing the KESN by drawing on concepts and methodology from economics, political science and social network theory.

Findings – The KESN's social capital is defined. As such, maintaining accountability, increasing cohesion and connections among knowledge actors are suggested as relevant guidelines for policy in the KESN.

Research limitations/implications – The knowledge economy should ideally be seen as having unique needs compared to the traditional economy in devising policy.

Practical implications – The paper suggests using the KESN as a basis for devising policy for a knowledge economy.

Originality/value – The paper uses an interdisciplinary approach to studying the knowledge economy and introduces the KESN.

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Adoption of technologies has long been a key area of research in the information systems (IS) discipline, and researchers have thus been interested in the attributes, beliefs, intentions, and behaviors of individuals and organisations that could explain information and communication technology (ICT) adoption. The focal unit of adoption has mainly been individuals and organisations, however, research at group or social network level as well as the inter-organizational level have recently gained increased interest from IS researchers. This recent focus supports the view of the world as being the sum of all relations. Various social network theories exist that seek to emphasize different proficiencies of social networks and explain theoretical mechanisms for behavior in social networks. The core idea of these theories is that social networks are valuable, and the relations among actors affect the behavior of individuals, groups, organizations, industries, and societies. IS researchers have also found that social network theory can help explain technology adoption. Some researchers, in addition, acknowledge that most adoption situations involve phenomena occuring at multiple levels, yet most technology adoption research applies a single level of analysis. Multilevel research can address the levels of theory, measurement, and analysis required to fully examining research questions. This paper therfore adapts the Coleman diagram into the Multi-level Framework of Technology. Adoption in order to explain how social network theory, at the individual and social network level, can help explain adoption of ICT. As Coleman (1990) attempts to create a link between the micro and macro level in a holistic manner, his approach is applicable in explaining ICT adoption

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How to enhance the communication efficiency and quality on vehicular networks is one critical important issue. While with the larger and larger scale of vehicular networks in dense cities, the real-world datasets show that the vehicular networks essentially belong to the complex network model. Meanwhile, the extensive research on complex networks has shown that the complex network theory can both provide an accurate network illustration model and further make great contributions to the network design, optimization and management. In this paper, we start with analyzing characteristics of a taxi GPS dataset and then establishing the vehicular-to-infrastructure, vehicle-to-vehicle and the hybrid communication model, respectively. Moreover, we propose a clustering algorithm for station selection, a traffic allocation optimization model and an information source selection model based on the communication performances and complex network theory.

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Purpose – The purpose of this paper is to provide an overview of previous studies in the field of stakeholder management, and propose implications for the construction industry.

Design/methodology/approach – Three major databases are searched: ABI, EI CompendexWeb, and ISI web of knowledge. Papers are searched on topic by using the keywords of “stakeholder management”, “management of stakeholders” and “management of stakeholder”. A brief review of the abstracts and conclusions of these papers is conducted to filter out the irrelevant and/or duplicate papers. After filtering, 159 articles with content relevant to stakeholder management are selected for analysis.

Findings – An overview of previous studies reveals that research interest in stakeholder management has turned to the descriptive approach. Through a critical review of stakeholder management process, three main problems of previous studies are identified: very few methods and tools are available to identify all stakeholders and their interests; limited studies involve the change management about the stakeholders' influence and relationship; and few studies are capable of reflecting the influence of the entire relationship network in practice.

Research limitations/implications – Two implications for the construction industry are suggested: establish a practical framework for managing stakeholders; and apply social network theory (SNT) in developing a stakeholder relationship model.

Originality/value – The overview and implications lead to new knowledge and an improved understanding of the management of multiple stakeholders in construction projects. The perspective of SNT avoids the deficiency of Freeman's dyadic ties model, and the project managers can make decisions in response to the stakeholder behaviours according to the entire relationship.

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The relational aspects for critical infrastructure systems are not readily quantifiable as there are numerous variability’s and system dynamics that lack uniformity and are difficult to quantify. Notwithstanding this, there is a large body of existing research that is founded in the area of quantitative analysis of critical infrastructure networks, their system relationships and the resilience of these networks. However, the focus of this research is to investigate the aspect of taking a different, more generalised and holistic system perspective approach. This is to suggest that that through applying network theory and taking a ‘soft’ system-like modelling approach that this offers an alternative approach to viewing and modelling critical infrastructure system relational aspects that warrants further enquiry.

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Background
Joining the domains of practice, research and policy is an important aspect of boosting the quality performance required to tackle complex public health problems. “Joining domains” implies a departure from the linear and technocratic knowledge-translation approach. Integrating the practice, research and policy triangle means knowing its elements, appreciating the barriers, identifying possible cooperation strategies and studying strategy effectiveness under specified conditions.
This article examines the dynamic process of developing an Academic Collaborative Centre for Public Health in the Netherlands, with the objective of achieving that the three domains of policy, practice and research become working partners on an equal footing.
Method
An interpretative hermeneutic approach was used to interpret the phenomenon of collaboration at the nexus between the three domains. The project was explicitly grounded in current organizational culture and routines, applied to nexus action. In the process of examination, we used both quantitative (e.g. records) and qualitative data (e.g., interviews and observations). The data were interpreted using the Actor-Network, Institutional Re-Design and Blurring the Boundaries theories.
Results
Results show commitment at strategic level. At the tactical level, however, managers were inclined to prioritize daily routine, while the policy domain remained absent. At the operational level, practitioners learned to do PhD research in real-life practice and researchers became acquainted with problems of practice and policy, resulting in new research initiatives.
Conclusion
We conclude that working at the nexus is an ongoing process of formation and reformation. Strategies based on Institutional Re-Design theories in particular might help to more actively stimulate managers’ involvement to establish mutually supportive networks.

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The experiences of an architectural, an engineering, and a construction organization, when internationalizing to China, are compared to extant theories of internationalization to develop an enhanced explanation if these organizations’ internationalization. The research examines the explanatory power of both the Uppsala internationalization model and network theory for internationalization. The research determined that, whilst these organizations utilized an incremental internationalization process, the stages differed from those identified in the Uppsala model. Part of this difference reflects the fact that the participants are service organizations and the Uppsala model is more relevant to manufacturing organizations. Network theory was also found to predict some of the participant behaviors; however, it did not correctly predict the reasons for forming partnerships, which was to gain knowledge rather than develop networks. The stages of the internationalization into China identified were: (1) experiencing a motivation to internationalize; (2) adopting one of a variety of entry modes; (3) experiencing a motivation to increase internationalization to the level of a wholly-owned foreign entity; (4) establishment of a wholly-owned foreign entity (WOFE), either by acquisition or development; and (5) further horizontal expansion (such as movement to new locations). A range of different motivations for both stages one and three were identified.

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Smartphone applications are getting more and more popular and pervasive in our daily life, and are also attractive to malware writers due to their limited computing source and vulnerabilities. At the same time, we possess limited understanding of our opponents in cyberspace. In this paper, we investigate the propagation model of SMS/MMS-based worms through integrating semi-Markov process and social relationship graph. In our modeling, we use semi-Markov process to characterize state transition among mobile nodes, and hire social network theory, a missing element in many previous works, to enhance the proposed mobile malware propagation model. In order to evaluate the proposed models, we have developed a specific software, and collected a large scale real-world data for this purpose. The extensive experiments indicate that the proposed models and algorithms are effective and practical. © 2014 Elsevier Ltd. All rights reserved.

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In recent years, evaluating the influence of nodes and finding top-k influential nodes in social networks, has drawn a wide attention and has become a hot-pot research issue. Considering the characteristics of social networks, we present a novel mechanism to mine the top-k influential nodes in mobile social networks. The proposed mechanism is based on the behaviors analysis of SMS/MMS (simple messaging service / multimedia messaging service) communication between mobile users. We introduce the complex network theory to build a social relation graph, which is used to reveal the relationship among people's social contacts and messages sending. Moreover, intimacy degree is also introduced to characterize social frequency among nodes. Election mechanism is hired to find the most influential node, and then a heap sorting algorithm is used to sort the voting results to find the k most influential nodes. The experimental results show that the mechanism can finds out the most influential top-k nodes efficiently and effectively. © 2013 IEEE.