Research Methodology. To analyse the growth processes of technology-based new ventures I conducted a survey among entrepreneurial firms. Due to the large sample size, this method is usually very reliable and enables the researcher to generalise the corresponding findings. The survey in this study has a longitudinal design. This design allows me to track the evolution of dynamic capabilities in a larger sample of entrepreneurial firms as discrete events over time. The survey population comprises a set of German technology-based new ventures that survived a predefined observation period and thus are ex ante considered as successful. All sample firms are located in one region. By focusing on a certain geographical area, I eliminate environmental influences such as infrastructure, access to labour markets, educational and scientific institutions, government support, etc. These effects often have a significant impact on the evolution of start-up firms and may inhibit the comparability of the sample companies. To ensure a large population of entrepreneurial ventures, I chose an innovative cluster for the survey. Innovative clusters facilitate regional entrepreneurial activity (Xxxxxxxxx, Xxxxxxxxxxx, and Xxxxxxxx 2001). In fact, entirely new industries such as semiconductors, biotechnology, microcomputers, or information and communication technologies have developed in specific geographic regions (Xxxxxxx 2001). A major source for the foundation of new firms is tacit knowledge. This knowledge is usually developed in regional clusters and cannot be diffused easily across geographic areas (Xxxxxx and von Xxxx 0000; Xxxxxxxxx and Xxxxxx 2001). The entrepreneurial activity within the cluster is mostly determined by its regional strength (Sternberg 1996). This strength is often influenced by the existence of active research universities, strong local networks, and venture capital (Xxxxxxx 2001). A region with high entrepreneurial activity is the area around Munich. It is considered as “the heartland of the entrepreneurial régime” in Germany (Xxxxxxxxx and Xxxxxxx 2002, p. 117). In particular, the biotech cluster at Martinsried, a Munich suburb, still constitutes a major European centre for life sciences (Lehrer and Xxxxxxx 0000x; Lehrer and Xxxxxxx 2004b). Thus, I decided to limit the population of this study to technology-based new ventures in the Munich region. To show the evolution of dynamic capabilities in technology-based start-ups, the observation period starts with the foundatio...
Research Methodology. The activities which took place during task 2 of work package 1 were divided into the following three phases (outlined in Figure 1): Phase 1. Initially, the study and research plan has been discussed and decided among the partners. Search keywords regarding training programs in e-Governance area have been defined, and geographical search areas have been allocated to each partner and the training programs metadata to be collected have been specified. The Workshop and questionnaire design, to include the wider e-Governance community in the study, took place in this phase.
Research Methodology. The research methodology consists of five phases. First we start with an analy- sis of Legalcomplex data which is based on key word search (Subsection 2.3.1). 12xxxxx://xxxxxxxxxx.xxx/page/financialindustrybusinessontology Table 2.1: State-of-the-Art & Main Pitfalls State-of-the-Art Main Pitfall Communications Data Chatbot Low trustworthiness Risk Data Bow-Tie Method Time-consuming Communications and Risk Data Implicit connection Requires human analysis Ontology Engineering Contract Data Limited and restricted data Then, the methodology employs the stage of determining the specific case study (Subsection 2.3.2). Moreover, ontology engineering itself is introduced (Subsec- tion 2.3.3), as well as its design and conceptualisation (Subsection 2.3.4) to arrive at its validation (Subsection 2.3.5).
Research Methodology. A mix of quantitative and qualitative data. Desk research and online surveys could be used to find information on the most popular social networks and how they are accessed, but it would be necessary for the Consultant to carry out focus groups or interviews (either face-to-face or remotely) to gather more detailed insight. Consent forms will have to be used for this activity. The British Council welcomes any suggestions for methodology, backed up with a rationale for doing so and the pros and cons of alternative approaches.
Research Methodology. A systematic mapping of the scientific research database was carried out based on the methodol- ogy proposed in [12] to obtain an overview of the research area and locate shortcomings and contribu- tions. Our primary focus is the available Blockchain-enabled social selling traceability implementations and the use of smart contracts to perform data validation on each transaction generated in the selling process. The topics of interest were: Blockchain, smart contracts, social selling, traceability, and data reliability. First, we will review the key concepts used in this systematic mapping.
Research Methodology. A. The APPLICANT will adhere to a “small numbers” policy of suppressing findings for any group of students numbering fewer than ten, and to require all employees, contractors, and agents of any kind to also abide by such policy. Where “small numbers” reporting becomes necessary, the APPLICANT will request formal consent from the PVUSD REPRESENTATIVE unless prior approval from PVUSD has been obtained.
Research Methodology. As explained above, this thesis adopts its theoretical framework from the de facto state literature (Xxxxxxxxx & Xxxxxxxxxx, 2011; Xxxxxxxxx, 2012; Xxxxxx, 2014, 2017; Pegg, 1998, 2017; Xxxxx, 2004; Xxxxxxxx & Xxxxxx, 2014; Xxxxxx, 2006; Xxxxxx, 2014). Through analysing the case of Kurdistan, this study aims to add empirical insights to the nature and dynamics of de facto statehood in the absence of international recognition. This thesis does not set out to offer findings that can be generalized across de facto states. However, chapters 2, 3, and 4 (chapter 5 is under review), which have been published independently in peer-reviewed journals, try to enhance the knowledge of the dynamics and sustainability of de facto states. My research strategy is qualitative, a paradigm useful for explanatory studies (Xxxxxxx & Xxxxxxxxx, 2012). As this thesis seeks to explain the nature and dynamics of the de facto statehood, it makes sense to establish the foundation of the research on qualitative ground. In addition, this thesis adopts a methodology of case studies. There is an increasing interest in large-N and statistical studies in the recent literature on de facto states (see, for example, Xxxxxx 2014 and 2020; Toomla, 2016; Comai, 2018), aiming at providing more generalizable conclusions. Despite such initiatives, however, the theoretical discussion is still in its nascent stages (Xxxxxx et al., 2017, p. 4), and a deeper understanding of de facto state dynamics can be gained through novel case studies. Case studies are also important for the building of concepts, such as fluidity, as this thesis tries to build in order to explain the nature of de facto statehood. This method allows us to provide important empirical evidence relevant to existing theories on de facto statehood. Given the nature of de facto states, which are often viewed from a “frozen conflict” perspective, a single case study can contribute to the theory, as well as informing better policy. Though the case of Kurdistan has been recognised as a de facto state, it has not been the focus of recent comparative work on de facto states (see x.x. Xxxxx, 2004; Xxx-Xxxxxxx, 2012; Xxxxxxxxxx & Xxxxxx, 2012; Xxxxxx, 2013; Xxxxxx & Xxxxxxxxxx, 2008; X’Xxxxxxxx et al., 2014; Xxxxxxx, 2007; xxx Xxxxxxxxxxx, 2012). An in-depth analysis of Kurdistan is useful as an example that necessitates the theoretical modification of existing approaches. The selection of a case study method has four main advantages for this ...
Research Methodology. As noted in Chapters 1 and 2 this project concerns how mental health trainees approach care and the clinical judgments they make during case conceptualization and treatment planning. When faced with the same patient or client, are professionals’ diagnostic- and treatment-related decisions similar, altogether dissimilar, or do they vary systematically along professional lines? To that end I pose three research questions. First, to what degree do mental health trainees’ approach to care and clinical (i.e., diagnostic and treatment-related) judgments vary? Second, does professional affiliation help explain some of the variability in trainees’ clinical decision making and approach to care? Finally, in what ways is professional affiliation associated with clinical decision making and approach to care among clinical trainees? This study focuses on advanced clinical trainees enrolled in three training programs: Emory’s General Psychiatry Residency program, Emory’s Clinical Psychology program, and University of Georgia’s Master of Social Work program. I employ a mixed- methods triangulation design (Xxxxxxxx and Plano Xxxxx 2007), a design used to obtain different yet complementary data on the same topic. The triangulation design involves collecting quantitative and qualitative data concurrently and assigns equal weight to both data sources. I employ the “convergence model” (ibid) of the triangulation mixed- methods design, a model where quantitative and qualitative data are collected separately on the same topic and then the results from each data source are merged during interpretation. The convergence model helps researchers reach valid conclusions about phenomena by gauging larger trends from quantitative data sources and then enriching those findings with the depth and understanding that come from qualitative lines of inquiry. In order to address trainees’ clinical judgments I asked the full population of advanced psychiatry residents and clinical psychology graduate students from Emory University and master’s of social work students from the University of Georgia to participate in evaluating a written case study of a client manifesting symptoms of anxiety and depression. I measured participating trainees’ case conceptualizations and clinical decisions regarding this case via a self-administered survey (the quantitative component). In order to both validate and enrich the survey data on clinical decision making and collect separate information about trainees’ ...
Research Methodology. As process research is concerned with the understanding how things evolve over time and why they evolve in that particular way (Xxxxxxx 1999), process data often consists to a large degree of stories about what happened and who did what when as well as tracking events, activities, and choices made over time. As stated earlier, the process model approach seeks to understand how the process affects the outcome as well as how and why certain outcomes are achieved within a given set of antecedent conditions. Similarly, qualitative research identified that case study methodology is particularly useful for answering research questions related to how and why (Yin 2003). Case studies are also suitable for theory building in areas where existing theory is limited (Xxxxxxxxxx 1989). Theory and model development can be based on a single case study (Xxx and Xxxxxxxxxxx 2003; Yin 2003). Bonoma (1985) highlights that case studies can facilitate in-depth analysis of complex and ill-researched phenomena. Case studies can provide insights where in-depth understanding of a phenomenon in its context is desired (Benbasat, Goldstein, and Xxxx 1987). As case studies are especially useful for exploratory research where in-depth understanding of a phenomena in its context is desired (Yin 2003), process model research and case study research also complement each other with regard to considerations of context: ―…one of the main reasons for taking a qualitative process approach is precisely to take into account the context‖ (Xxxxxxx 1999, 692). Consequently, case studies are a good way to illustrate the use of process models (Xxxxx and Xxxxxx 1996), and case studies represent a preferred approach for process-oriented studies (Xxxxxxx 1999). An in-depth case study served as the empirical basis of this research and was used to develop the process model of IT dis-integration. This study uses data from IT dis- integration in the context of a demerger in a financial service firm. Since the emphasis of the current work relates to understanding events, sequences, driving forces, and impediments within an IT dis-integration process, a descriptive case study was used (Xxxxx 1997; Xxxx and Xxxx 2003). The choice of the case was based on the principle of theoretical sampling, which specifies that chosen cases should clearly represent the phenomena under study in its natural social context (Yin 1981; Xxxxx 2002). In accordance with these principles, the author judged the recent demerger of the ...
Research Methodology. Case Studies on succession and restructuration processes in favor of employees (2 per country) Preparatory Stage Main Phase Follow up Stage Progress Report Info-sheets (2 per country) Dynamic Web platform Video-documentary (1)
