95,836 research outputs found
Eco‐Holonic 4.0 Circular Business Model to Conceptualize Sustainable Value Chain Towards Digital Transition
The purpose of this paper is to conceptualize a circular business model based on an Eco-Holonic Architecture, through the integration of circular economy and holonic principles. A conceptual model is developed to manage the complexity of integrating circular economy principles, digital transformation, and tools and frameworks for sustainability into business models. The proposed architecture is multilevel and multiscale in order to achieve the instantiation of the sustainable value chain in any territory. The architecture promotes the incorporation of circular economy and holonic principles into new circular business models. This integrated perspective of business model can support the design and upgrade of the manufacturing companies in their respective industrial sectors. The conceptual model proposed is based on activity theory that considers the interactions between technical and social systems and allows the mitigation of the metabolic rift that exists between natural and social metabolism. This study contributes to the existing literature on circular economy, circular business models and activity theory by considering holonic paradigm concerns, which have not been explored yet. This research also offers a unique holonic architecture of circular business model by considering different levels, relationships, dynamism and contextualization (territory) aspects
A Framework to Use Public-Private Partnership for Smart City Projects
The concept of Smart City has been emerging as a strategic set of integrated initiatives encompassing infrastructures, technology and digital services for the purpose of enhancing the quality of life of citizens. However, the development and implementation of Smart City projects require considerable investments that are difficult to fund with traditional public finance. In this context, Public-Private-Partnerships (PPP) appear to be suitable solutions to overcome the shortage of public finance and cuts on public spending. However, the adoption of PPP forms for Smart City projects has not been fully explored and only experimentally applied so far. In order to promote the usage of PPP to finance Smart City initiatives, this paper proposes some PPP financial instruments and discusses the associated strengths and weaknesses. In particular, the use of Project Finance, Revenue Sharing and Social Impact Bonds are suggested as sound alternatives and suitable sources of financing for Smart City project
Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm
Industry 4.0 aims at achieving mass customization at a
mass production cost. A key component to realizing this is accurate
prediction of customer needs and wants, which is however a
challenging issue due to the lack of smart analytics tools. This
paper investigates this issue in depth and then develops a predictive
analytic framework for integrating cloud computing, big data
analysis, business informatics, communication technologies, and
digital industrial production systems. Computational intelligence
in the form of a cluster k-means approach is used to manage
relevant big data for feeding potential customer needs and wants
to smart designs for targeted productivity and customized mass
production. The identification of patterns from big data is achieved
with cluster k-means and with the selection of optimal attributes
using genetic algorithms. A car customization case study shows
how it may be applied and where to assign new clusters with
growing knowledge of customer needs and wants. This approach
offer a number of features suitable to smart design in realizing
Industry 4.0
Interdisciplinarity as heuristic resource for energy management
As high-tech industries continue to experience dynamic growth and problems of development in high-tech industries are getting increasingly complex, managers have to embrace the need for new competencies that match present-day challenges. This calls for a qualitative change in the architecture of education to bring it up to date with contemporary trends. Using cases from Russia, the paper aims to provide a groundwork for an interdisciplinary approach to building professional competencies in energy managers as a framework for forward-looking management of high-tech industries in a nonlinear environment. The authors identify factors that determine the new management imperative and set out methodological principles of developing a management culture. A model of professionalism in management is proposed that is the result of a complex interplay of interrelated competencies. The paper also explains the key features of an interdisciplinary training programme. To prove the research hypothesis, an analysis was conducted of empirical data from expert reviews by executives at Russian energy companies and leading academics
Managing stimulation of regional innovation subjects’ interaction in the digital economy
The reported study was funded by RFBR according to the research project No. 18-01000204_a, No. 16-07-00031_a, No. 18-07-00975_a.Purpose: The article is devoted to solving fundamental scientific problems in the scope of the development of forecasting modeling methods and evaluation of regional company’s innovative development parameters, synthesizing new methods of big data processing and intelligent analysis, as well as methods of knowledge eliciting and forecasting the dynamics of regional innovation developments through benchmarking. Design/Methodology/Approach: For regional economic development, it is required to identify the mechanisms that contribute to (or impede) the innovative economic development of the regions. The synergetic approach to management is based on the fact that there are multiple paths of IS development (scenarios with different probabilities), although it is necessary to reach the required attractor by meeting the management goals. Findings: The present research is focused on obtainment of new knowledge in creating a technique of multi-agent search, collection and processing of data on company’s innovative development indicators, models and methods of intelligent analysis of the collected data. Practical Implications: The author developed recommendations before starting the process of institutional changes in a specific regional innovation system. The article formulates recommendations on the implementation of institutional changes in the region taking into account the sociocultural characteristics of the region’s population. Originality/Value: It is the first time, when a complex of models and methods is based on the use of a convergent model of large data volumes processing is presented.peer-reviewe
Community Development Evaluation Storymap and Legend
Community based organizations, funders, and intermediary organizations working in the community development field have a shared interest in building stronger organizations and stronger communities. Through evaluation these organizations can learn how their programs and activities contribute to the achievement of these goals, and how to improve their effectiveness and the well-being of their communities. Yet, evaluation is rarely seen as part of a non-judgemental organizational learning process. Instead, the term "evaluation" has often generated anxiety and confusion. The Community Development Storymap project is a response to those concerns.Illustrations found in this document were produced by Grove Consultants
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