573,736 research outputs found

    Applying the Social of Translation to a System Project in a Lagging Enterprise

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    Although actor-network theory (ANT) is enjoying increasing interest in information systems research, we are still in the early stages of understanding and appreciating ANT’s potential for drawing lessons and developing guidance for industry practitioners. This paper focuses on extending that practical understanding. Here, ANT is applied in creating an account of a human-services firm’s experience in building its first major information system. Several practical implications are drawn that point the way toward further adapting ANT thinking for applied use in system-project contexts. Central among the insights are: the potential value in viewing project leadership in terms of actor-network management; the need to treat network management more as a matter of facilitation than control; the importance of recognizing that the effective management of interests may have to begin with the very constitution of those interests; the need to understand how indirect representations of key interests during software construction may break down when the interests themselves are directly engaged during implementation; the need to manage the particulars of critical issues on which network stability depends; and the importance of grasping the interdependence between network stability and adaptability in design

    Interplay between network configurations and network governance mechanisms in supply networks a systematic literature review

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    Purpose: This work systematically reviews the extant academic management literature on supply networks. It specifically examines how network configurations and network governance mechanisms influence each other in supply networks. Design: 125 analytical and empirical studies were identified using an evidence-based approach to review the literature mainly published between 1985 and 2012. Synthesis: Drawing on a multi-disciplinary theoretical foundation, this work develops an integrative framework to identify three distinct yet interdependent themes that characterize the study of supply networks: a) Network Configurations (structures and relationships); b) Network Governance Mechanisms (formal and informal); and c) The Interplay between Network Configurations and Network Governance Mechanisms. Findings: Network configurations and network governance mechanisms mutually influence each other and cannot be considered in isolation. Formal and informal governance mechanisms provide better control when used as complements rather than as substitutes. The choice of governance mechanism depends on the nature of exchange; role of management; desired level of control; level of flexibility in formal contracts; and complementary role of formal and informal governance mechanism. Research implications: This nascent field has thematic and methodological research opportunities for academics. Comparative network analysis using longitudinal case studies offers a rich area for further study. Practical Implications: The complexity surrounding the conflicting roles of managers at the organisation and network levels poses a significant challenge during the development and implementation stage of strategic network policies. Originality/value: This review reveals that formal and informal governance mechanisms provide better control when used as complements rather than as substitutes

    The evolution of the car-making industry

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    Mass-production, cars, pollution – they all have long become well known and well connected phenomena of the modern life. Nowadays the people can also add to the list such items like awareness, scientific approach, long-term thinking, and environmental responsibility. They are surrounded by a multitude of consumer goods, most of which are produced in a scientific manner, and all of which will more sooner than later end up in the garbage. Cars are the most noticeable – both by size and by numbers – and also the most expensive of all the mass products in people’s view. For many of them they are a clear target for reprimand and regulation, and, as a result, the automotive industry is being increasingly brought under bureaucratic control, together with its whole supplier and distributor network. The author started writing this article in an attempt to place the above process under scrutiny, because it is his firm belief that similar measures, similar tough governmental control will inevitably spill over to other industries, which at the moment are producing more inconspicuous, but still polluting products. The present paper shows the relationship between car-making, supply chain management and the efforts of public administration to protect the environment – a connection with clear practical implications

    Crisis Management on Social Media: a framework

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    Purpose. Scholars should investigate organization model of companies that successfully manage their Social Media presence, in every circumstance. The main purpose of our research is to provide a network perspective to the relevant topic of Social Media Crisis Management. Methodology. Following an exploratory qualitative approach, Authors have conducted 5 in-depth interviews with key Informants (internal and external to the Company) designated to the task of \u201csocial media crisis management\u201d, linked in a client/suppliers relationship. All the material has been reviewed through a content-analysis. Findings. According to our preliminary research, many are the issues and the topics that companies and digital agencies/consultants must control in their collaboration to face a Social Media crisis. Even if the topic is compelling, many of those elements are unexpected and underestimate. Practical implications. Managerial implications concern three different point of view: how companies and their suppliers interact in facing challenges online and how a network approach could be useful for Social Media Crisis Management. Originality/value. From the best of our knowledge, this study could be the first in analysing how companies and agencies must be organized to face a crisis on Social Media. Moreover, it will allow investigating in an empiric way the sense making approach to the crisis management topic

    Imitation of Management Practices in Supply Networks: Relational and Environmental Effects

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    This study investigates the imitative use of management practices across a multitier supply network. Although imitation may take the form of any management practice, operationally, we focus on whether the buyer’s control practices used with first-tier suppliers results in similar control practices being used by these first-tier suppliers with the second-tier suppliers. Drawing on institutional theory, we identify relational context (i.e., affective commitment) and environmental context (i.e., environmental uncertainty) as two important factors influencing the extent to which such imitation takes place. Using unique survey data of vertically linked supply chain triads, we generally find support for the occurrence of imitation and more so in cases of high affective commitment. The results regarding environmental uncertainty further reveal selectivity in imitative behavior, calling attention to the level of deliberateness in imitation decisions in supply networks. Besides contributing to theory on imitative behaviors in the supply chain, this study also generates practical implications on the spread of management practices across multiple tiers

    Imitation of management practices in supply networks : relational and environmental effects

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    This study investigates the imitative use of management practices across a multitier supply network. Although imitation may take the form of any management practice, operationally, we focus on whether the buyer's control practices used with first-tier suppliers results in similar control practices being used by these first-tier suppliers with the second-tier suppliers. Drawing on institutional theory, we identify relational context (i.e., affective commitment) and environmental context (i.e., environmental uncertainty) as two important factors influencing the extent to which such imitation takes place. Using unique survey data of vertically linked supply chain triads, we generally find support for the occurrence of imitation and more so in cases of high affective commitment. The results regarding environmental uncertainty further reveal selectivity in imitative behavior, calling attention to the level of deliberateness in imitation decisions in supply networks. Besides contributing to theory on imitative behaviors in the supply chain, this study also generates practical implications on the spread of management practices across multiple tiers

    Designing a Blue-Green Infrastructure (BGI) Network: Toward Water-Sensitive Urban Growth Planning in Dhaka, Bangladesh

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    In a warming world, urban environmental stresses are exacerbated by population-increase-induced development of grey infrastructure that usually leaves minimal scope for blue (and green) elements and processes, potentially resulting in mismanagement of stormwater and flooding issues. This paper explores how urban growth planning in the megacity of Dhaka, Bangladesh can be guided by a blue-green infrastructure (BGI) network that combines blue, green, and grey elements together to provide a multifunctional urban form. We take a three-step approach: First, we analyze the existing spatial morphology to understand potential locations of development and challenges, as well as the types of solutions necessary for water management in different typologies of urban densities. Next, we analyze existing and potential blue and green network locations. Finally, we propose the structural framework for a BGI network at both macro and micro scales. The proposed network takes different forms at different scales and locations and offers different types of flood control and stormwater management options. These can provide directions on Dhaka’s future urban consolidation and expansion with a balance of man-made and natural elements and enable environmental, social, spatial, financial, and governance benefits. The paper concludes with some practical implications and challenges for implementing BGI in Dhaka

    QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum - Classical Neural Network

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    Supply chain management relies on accurate backorder prediction for optimizing inventory control, reducing costs, and enhancing customer satisfaction. However, traditional machine-learning models struggle with large-scale datasets and complex relationships, hindering real-world data collection. This research introduces a novel methodological framework for supply chain backorder prediction, addressing the challenge of handling large datasets. Our proposed model, QAmplifyNet, employs quantum-inspired techniques within a quantum-classical neural network to predict backorders effectively on short and imbalanced datasets. Experimental evaluations on a benchmark dataset demonstrate QAmplifyNet's superiority over classical models, quantum ensembles, quantum neural networks, and deep reinforcement learning. Its proficiency in handling short, imbalanced datasets makes it an ideal solution for supply chain management. To enhance model interpretability, we use Explainable Artificial Intelligence techniques. Practical implications include improved inventory control, reduced backorders, and enhanced operational efficiency. QAmplifyNet seamlessly integrates into real-world supply chain management systems, enabling proactive decision-making and efficient resource allocation. Future work involves exploring additional quantum-inspired techniques, expanding the dataset, and investigating other supply chain applications. This research unlocks the potential of quantum computing in supply chain optimization and paves the way for further exploration of quantum-inspired machine learning models in supply chain management. Our framework and QAmplifyNet model offer a breakthrough approach to supply chain backorder prediction, providing superior performance and opening new avenues for leveraging quantum-inspired techniques in supply chain management

    The boundary of sustainability reporting: Evidence from the FTSE100

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    Purpose. The aim of this paper is to use a multidisciplinary theoretical understanding of boundary setting to develop a quadripartite model in which sustainability reporting boundaries are classified as ‘Reputation Management’, ‘Ownership and Control’, ‘Accountability; and, ‘Stakeholder Engagement’. Content analysis is then used to empirically test the model. Design/approach. Using impression management theory, rationalism, systems and contingency theory, and network theory a model is created which classifies sustainability reporting boundaries. Content analysis is used to empirically test boundaries across the disclosure of 49 GRI topics by the FTSE100. Findings. Sustainability reporting fails to discharge accountability due to adoption of narrow ‘Reputation Management’ boundaries. Boundaries are significantly (p<0.0001) narrower than previous research suggests. Findings support Impression Management Theory as the strongest theory to predict reporting content. An Ownership and Control boundary, although widely criticised, represents the boundary of progressive reporters, lending marginal support for economic theories. Accountability boundaries are scarce. No evidence was found for Stakeholder Engagement boundaries. Practical Implications. The determination of boundary is critical to the discharge of accountability. A critical consideration of boundary setting is required, including authentic stakeholder engagement in determining boundaries and transparency of boundary adopted. The results are ranked to enable benchmarking of the FTSE100. Boundaries can be widened through regulation or ‘name and shame campaigns’. Originality/value. This paper provides a theory-informed advancement in thinking on sustainability reporting boundary setting and the importance of this for advancing sustainability reporting quality

    Small Water Bodies in Great Britain and Ireland: Ecosystem function, human-generated degradation, and options for restorative action

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    © 2018 Small, 1st and 2nd-order, headwater streams and ponds play essential roles in providing natural flood control, trapping sediments and contaminants, retaining nutrients, and maintaining biological diversity, which extend into downstream reaches, lakes and estuaries. However, the large geographic extent and high connectivity of these small water bodies with the surrounding terrestrial ecosystem makes them particularly vulnerable to growing land-use pressures and environmental change. The greatest pressure on the physical processes in these waters has been their extension and modification for agricultural and forestry drainage, resulting in highly modified discharge and temperature regimes that have implications for flood and drought control further downstream. The extensive length of the small stream network exposes rivers to a wide range of inputs, including nutrients, pesticides, heavy metals, sediment and emerging contaminants. Small water bodies have also been affected by invasions of non-native species, which along with the physical and chemical pressures, have affected most groups of organisms with consequent implications for the wider biodiversity within the catchment. Reducing the impacts and restoring the natural ecosystem function of these water bodies requires a three-tiered approach based on: restoration of channel hydromorphological dynamics; restoration and management of the riparian zone; and management of activities in the wider catchment that have both point-source and diffuse impacts. Such activities are expensive and so emphasis must be placed on integrated programmes that provide multiple benefits. Practical options need to be promoted through legislative regulation, financial incentives, markets for resource services and voluntary codes and actions
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