Research Objectives. The main objective of this dissertation is to shed light on the growth processes of technology-based new ventures and link these processes to performance. The previous section revealed that a conceptual framework for research in this direction has to meet two fundamental requirements. First, it has to assume an inside-out perspective on the organisation and second, it has to be dynamic. The concept of dynamic capabilities (Xxxxx and Xxxxxx 1994; Xxxxx, Xxxxxx, and Xxxxx 1997; Xxxxx and Xxxxxx 1999; Xxxxxxxxxx and Xxxxxx 2000; Xxxxx and Winter 2002; Winter 2003) has attracted growing attention from strategic management scholars during the past years. The main purpose of this framework is to explain how firms gain a competitive advantage under conditions of rapid and unpredictable change. This dynamic concept is especially relevant in Schumpeterian worlds dominated by innovation-based competition, creative destruction of established competencies, and increasing returns (Teece, Xxxxxx, and Xxxxx 1997). In fact, entrepreneurial firms mostly compete on innovation (Xxxxxx and Xxxxx 1977; Xxxxxx and Xxxxxxx 2000; Xxxxxxx and Xxxxxxx 2002; Xxxxxxx and Xxxxxxxx 2002). Consequently, the concept can be considered to analyse performance differences and thus differences in growth rates of technology-based new ventures. According to Xxxxx, Xxxxxx, and Xxxxx (1997) dynamic capabilities are an organisation's “ability to integrate, build, and reconfigure internal and external competences to address rapidly changing environments” (p. 516), and thus are a source of competitive advantage under conditions of rapid change (Xxxxxxxxxx and Xxxxxx 2000). The concept of dynamic capabilities builds on the resource-based view of the firm (Wernerfelt 1984; Xxxxxx 1991; Xxxx and Schoemaker 1993; Peteraf 1993), which argues that the competitive advantage of organisations is contingent upon their resource base. When firms grow in high-velocity environments, they need to alter this resource base and consequently have to deploy certain capabilities. However, these capabilities need to be developed as well. Just as firms do not have a large resource base from the beginning (Stinchcombe 1965; Romanelli 1989; Brush, Xxxxxx, and Xxxx 2001; Xxxxxx and Xxxxxxxx 2003; Ravasi and Turati 2005), new organisations do not possess dynamic capabilities in their early days (Helfat and Peteraf 2003). Given this theoretical excurse, I am able to specify the initial research objective. In order to describ...
Research Objectives. The objectives of this study included the following: • Improve the IID estimation algorithm and enhance its applicability by limiting the input to traffic volume only. Since volume can be directly measured by single loop detectors, the most common type of traffic sensors in the existing roadway network, an IID estimation algorithm requiring only volume input is highly desirable. • Implement the new IID estimation approach in a computer program for automatically quantifying IIDs on a regional freeway network. • Expand the database developed in Phase I to support IID analysis on a larger freeway network, i.e., the Puget Sound regional freeway network. • Present the incident information together with IID estimates on the Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net), a regional map- based online data sharing, modeling, and analysis platform developed by the Smart Transportation Applications and Research Laboratory (STAR Lab).
Research Objectives. Communication (Objective 3) Produce and make freely available text and online versions of risk assessment tools. Conduct workshops in their use and application. Objective 1: Develop risk assessment tools for fishes, plants, mollusks, amphibians, reptiles and crustaceans for the GL Basin.
Research Objectives. The research seeks to achieve the following objectives;
Research Objectives. 1. Assess data needs by conducting semi-structured interviews with key informants who self-identify as potential end-users (e.g. fire professionals who would seek to use PCLs during wildfire events, and rangeland managers and ecologists who may use PCLs to inform strategic investments in rangeland health).
Research Objectives. The objectives of our master thesis are: • Comprehensive literature research in order to gain sufficient knowledge about the potential cluster plants, particularly on steel and steel production. This also will help us while building mathematical models • Mathematical formulation based on the initial cluster code to understand and analyze the operations and characteristics of the plants and the whole cluster. • Development of a comprehensive deterministic model for optimization of operations in the integrated steel plant, and program the model in the available software as an optimization tool to be used for future analysis. • Testing the created optimization tool with relevant data in order to see the models efficiency and robustness. Based on testing results to do further analysis and suggestions. • Implementation of reliable forecasting methods for the future demand. • Generating a scenario tree to represent randomness and building a stochastic programming model for handling the uncertainty. Programming the model in the available software as a stochastic optimization tool to be used for further analysis. • Testing the stochastic optimization tool with relevant data and doing further analysis.
Research Objectives. Objective 1: Develop risk assessment tools for fishes, plants, mollusks, amphibians, reptiles and crustaceans for the GL Basin. Goals
Research Objectives. This is envisioned as a multi-year project with the following objectives: Contribute to the online Wildlife Health Information Sharing Partnership-Event Reporting System (WHISPers, xxxxx://xxx.xxxx.xxxx.xxx/whispers/). Diagnostic case reports will be provided on a quarterly basis (January, April, July, and October) to USGS Ecosystems Mission Area and USGS’s National Wildlife Health Center (NWHC) in an Excel format (not .pdf) using the template provided by NWHC. The Excel format is an interim solution and a user-friendly online data entry portal is anticipated to be available in the future. This information will be included in WHISPers and SCWDS will be acknowledged to provide online visibility of the partnership between SCWDS and DOI/USGS. Reports will include but not be limited to: Wildlife submissions from DOI agencies (e.g., deer herd health evaluations on National Wildlife Refuges or National Parks) Federal species of interest (migratory birds, threatened and endangered species) Bats (including WNS cases) Amphibians (including chytrid fungi, ranavirus and Perkinsea infections) Reptiles (including snake fungal disease) Reports of disease in invasive species and/or the detection of invasive or non-native animal pathogens. Actively participate in the national WNS Diagnostics Working Group led by USGS (xxxxx://xxx.xxxxxxxxxxxxxxxxx.xxx/national-plan/work-group-details/107). Disseminate wildlife disease surveillance and research information through peer-reviewed publications and newsletters. Notify the USGS Wildlife Disease Coordinator of such publications via email on a quarterly basis. FY18 Objective: Disseminate native ungulate disease surveillance and research information to federal scientists through presentations and active participation in meetings. Work with the USGS Wildlife Disease Coordinator to set up a scientific meeting (remote or in-person) where academic scientists and USGS scientists give presentations and discuss surveillance and/or research on diseases of native ungulates (incl. chronic wasting disease and epizootic hemorrhagic disease).
Research Objectives. To perform field experiments in a tall-grass prairie site to examine interacting effects of climate change and invasive species. To meet research objective 1 above, field experiments will be conducted to examine interactive effects of warming and precipitation treatments and the invasive species Lespedeza cuneata on native plant communities in tall-grass prairies. Findings from the field experiments will be published as one or more USGS data releases, with appropriate metadata, along with one or more scientific journal papers. Award information It is anticipated that one award will be made with one base year and one renewal year. The total estimated funding for this project is $133,629. Funding in the amount of $75,664 is available for FY 2020. Additional funding will be based upon satisfactory progress and the availability of funding.
Research Objectives. This cooperative agreement will provide continued support so that WCFS can meet the following research objectives: • Continue to conduct multidisciplinary applied laboratory, field, and educational research regarding the safety of agriculture production to generate practical solutions that can be implemented by the agricultural community and consequently, enhance food safety and food defense for FDA-regulated products. • Continue to develop and maintain communication with various stakeholders, domestic and international, involved in food production and food safety in order to identify food safety knowledge gaps and opportunities to leverage resources. • Continue to enhance technical assistance outreach and educational efforts through various channels, including seminars, presentations, serving on technical advisory boards and committees, and outreach through agriculture extension appointments. • Continue to engage in multi-institutional collaborations to ensure that FDA has the most current scientific thinking on best agricultural practices across varying agro-ecological landscapes. • Continue to assist the Agency in implementing food safety standards under FSMA.
