The Experts below are selected from a list of 2781987 Experts worldwide ranked by ideXlab platform
Hanna Rydehell - One of the best experts on this subject based on the ideXlab platform.
-
STAKEHOLDER ROLES IN BUSINESS Model Development IN NEW TECHNOLOGY-BASED FIRMS
International Journal of Innovation Management, 2019Co-Authors: Hanna RydehellAbstract:This paper examines the roles of external stakeholders in the business Model Development of new technology-based firms (NTBFs) from the perspective of the founders. Based on a longitudinal study of two Swedish NTBFs, semi-structured interviews, including timeline mapping, were conducted with the founders of each firm over a period of two years, drawing on retrospective data from the first year of founding. The findings reveal that stakeholder interaction is first initiated based on the position the stakeholder has in relation to the firm, whereas what tasks the stakeholder perform in relation to NTBF resource needs has greater consequences for the business Model Development. The roles of stakeholders further help shape founder perceptions of how to do business, although such influence may be limited over time. The results provide valuable insight into the influence of founders’ perceptions and firms’ business networks on the business configuration of NTBFs, revealing that business Model Development is both endogenous and exogenous. Specifically, the study provides some original insights around which roles stakeholders play in the early Development of the business Model and why these roles are necessary at certain points in time.
-
The Roles of Stakeholders in Business Model Development
2016Co-Authors: Hanna RydehellAbstract:Objectives: Expanding the focus of the business Model as firm-centric, and developed internally based on the founder or manager, this paper emphasis the notion of network-embeddedness and investigates how stakeholders take role in the business Model Development in new technology-based firms (NTBF). Prior work: The business Model as a concept has been studied by researchers to describe how firms create and capture value, thus, how the firms ‘do businesses’ and how they perform. In this sense, the business Model is firm-centric. With increased attention on business Model innovation, the Development of business Models in young firms would need further investigation to increase awareness of how founders focus their attention to develop their initial business Models. Furthermore, for NTBFs, resources in the start-up phase are scarce and thus, collaboration with stakeholders in the business network is necessary. Accordingly, the young firm need to rely on external organisations to gain access to resources. Consequently, the business network and the players (stakeholders) in it would impact on the business Model developed. However, from the perspective of the business Model as network-embedded, how these stakeholders take part in the business Model Development is still not clear and needs further investigation to explain the roles that different stakeholders play in the business configuration. Approach: The study is based on a longitudinal case study of two NTBFs. Semi-structured interviews with founders of the two case firms over a period of one and a half years, including retrospective data from the first years of start-up, have provided the basis for examine the Development of the firms’ business Models and what roles different stakeholders played in the Development. Further, drawing on an attention-based view of the firm, the cases were analysed to explain mechanisms through which the roles played an important part for the focus of attention in business configuration. Results: The findings indicate that the most common roles of external stakeholders frequently interacting with the NTBF are ‘advisor’, ‘connector’, ‘evaluator’, ‘co-developer’, and ‘supplier of know-how’. The roles of business advisors at Science Parks and incubators differ between the role as advisor and the role as connector for the young firm, depending on the kind of previous industry experience of the founder. Customers and suppliers are the most influencing stakeholders for the firm’s initial business Model and share the similarities of playing the role of ‘co-developer’, which is a role that impact on the firm’s value proposition, however, in different ways depending on type of exchange between stakeholder and focal firm. Overall, the closeness of interaction between the founder and a stakeholder (e.g., customer), and the exchange between then, made the role more influential for the business Model Development, but the role’s impact further depended on what schemas that existed for the founder to structure their attention at founding. Accordingly, three mechanisms were identified through which stakeholders play important roles of the business Model developed; closeness of interaction, type of exchange, and founder’s suitable attention structure. Implication and value: The paper adds value to the research field of business Models, concerning both academia and practitioner, by offering insights of the role of a firm’s network for business Model Development and what roles different stakeholder play. Thus, highlighting the firm’s network, allows for a broader perspective on the business Model and what roles that are influencing on what is going on with the business Model at a firm’s start-up.
Doris Folini - One of the best experts on this subject based on the ideXlab platform.
-
Climate, weather, space weather: Model Development in an operational context
Journal of Space Weather and Space Climate, 2018Co-Authors: Doris FoliniAbstract:Aspects of operational Modeling for climate, weather, and space weather forecasts are contrasted, with a particular focus on the somewhat conflicting demands of "operational stability" versus "dynamic Development" of the involved Models. Some common key elements are identified, indicating potential for fruitful exchange across communities. Operational Model Development is compelling, driven by factors that broadly fall into four categories: Model skill, basic physics, advances in computer architecture, and new aspects to be covered, from costumer needs over physics to observational data. Evaluation of Model skill as part of the operational chain goes beyond an automated skill score. Permanent interaction between "pure research" and "operational forecast" people is beneficial to both sides. This includes joint Model Development projects, although ultimate responsibility for the operational code remains with the forecast provider. The pace of Model Development reflects operational lead times. The points are illustrated with selected examples, many of which reflect the author's background and personal contacts, notably with the Swiss Weather Service and the Max Planck Institute for Meteorology, Hamburg, Germany. In view of current and future challenges, large collaborations covering a range of expertise are a must À within and across climate, weather, and space weather. To profit from and cope with the rapid progress of computer architectures, supercompute centers must form part of the team.
Laurent Falk - One of the best experts on this subject based on the ideXlab platform.
-
Development and implementation of systematic Model-Development strategy using Model-based experimental design
Chemical Engineering Research and Design, 2019Co-Authors: Zhengkun Jiang, Jean-françois Portha, Jean-marc Commenge, Laurent FalkAbstract:In this paper, a systematic Model-Development strategy using Model-based experimental design, consisting of initial data acquisition, Model Development, Model identification, Model validation and Model refining, is developed. Model Development is based on the reaction network proposed within the reaction supernetwork containing all feasible chemical reactions and mass transfers. For Model identification, validation and refining, Model-based experimental design is performed by taking into consideration several reactors, which enlarges the explored experimental windows. Based on this strategy, a computer-aided software, facilitating the user’s work, is developed for Model Development of liquid-phase reaction systems. The application of the strategy is demonstrated with an experimental case study involving NaOH-catalyzed ethanolysis of sunflower oil
Zhu Yi-fan - One of the best experts on this subject based on the ideXlab platform.
-
Research on MDA Based Simulation Model Development and Integration Methodology
Computer Simulation, 2007Co-Authors: Zhu Yi-fanAbstract:An MDA-based Simulation Model Development and Integration Methodology were discussed. The benefit using MDA in simulation Model reusability and composibility was discussed, e.g. the consistency through simulation scenario, experiment, analysis and Model integration can be achieved; reusability and composibility of simulation Model can be improved; an engineering Development approach for simulation requirement, Model design and Model implementation can be supported by MDA; the views for Architecture Framework for SOS can be more easily mapped to simulation Model; flexible and high configurable simulation can be more easily designed and implemented by MDA. So a simulation Model integration framework and a simulation Model Development and integration process based on MDA were illustrated. The framework composed of simulation elements corresponding to PIM and PSM (Simulation Model Design Time Component and Simulation Model Runtime Component), and simulation Model Development and integration process consists of simulation Model design, simulation Model Development, simulation Model composition, and simulation Model execution.
Zhengkun Jiang - One of the best experts on this subject based on the ideXlab platform.
-
Development and implementation of systematic Model-Development strategy using Model-based experimental design
2019Co-Authors: Zhengkun JiangAbstract:Adequate and accurate Models describing quantitatively the syntheses of fine and pharmaceutical chemicals are essential to optimize the performances of chemical processes. However, it is difficult, time consuming and experimentally expensive to develop such Models. Appropriate, efficient and systematic strategies for Model Development are therefore required. In this context, the aims of this work consist in methodological Development, numerical implementation and experimental validation of a systematic Model-Development strategy. In the first stage of this work, a methodologically systematic Model-Development strategy, consisting of initial data acquisition, Model Development, Model identification, Model validation and Model refining modules, is developed. In the initial data acquisition module, preliminary experiments are designed and performed to provide the basic information for the initial Model Development. Module Development module is composed of three steps: Model structure Development, Model structure analysis and Model parameter Development. Model structure Development is based on the reaction network proposed within the reaction supernetwork containing all feasible chemical reactions and mass transfers. For Model identification, validation and refining, the Model-based experimental design is performed by taking into consideration several reactors, which enlarges the explored experimental windows. In the second stage of this work, in order to facilitate the application of the strategy, a software, integrating Model parameter estimation, Model evaluation, Model-based experimental design for Model refining and performance optimization, is developed using MATLAB R2014a. The initial version of the software is suitable for the liquid-phase reaction systems, 4 ideal reactors are taken into consideration: batch stirred-tank reactor, semi-batch stirred-tank reactor, continuous stirred-tank reactor and continuous tubular reactor. In the third stage of this work, the feasibilities and generalities of the developed strategy and strategy-based software are demonstrated with two experimental case studies, relating to the valorization of sunflower oil, namely, NaOH-catalyzed ethanolysis of sunflower oil and epoxidation of sunflower oil by performic acid generated in situ.
-
Development and implementation of systematic Model-Development strategy using Model-based experimental design
Chemical Engineering Research and Design, 2019Co-Authors: Zhengkun Jiang, Jean-françois Portha, Jean-marc Commenge, Laurent FalkAbstract:In this paper, a systematic Model-Development strategy using Model-based experimental design, consisting of initial data acquisition, Model Development, Model identification, Model validation and Model refining, is developed. Model Development is based on the reaction network proposed within the reaction supernetwork containing all feasible chemical reactions and mass transfers. For Model identification, validation and refining, Model-based experimental design is performed by taking into consideration several reactors, which enlarges the explored experimental windows. Based on this strategy, a computer-aided software, facilitating the user’s work, is developed for Model Development of liquid-phase reaction systems. The application of the strategy is demonstrated with an experimental case study involving NaOH-catalyzed ethanolysis of sunflower oil
