348,694 research outputs found
Knowledge based entrepreneurship in the Czech Republic and Hungary: results from 4 case studies
This paper describes knowledge based entrepreneurship in the Czech Republic and Hungary, in particular the growth and development process of 4 firms are studied: Dekonta, an environmental services firm, Et netera, an IT services firm, both operating in Czech Republic, along with a data recovery firm, Kurt, and a biopharmaceutical firm, Solvo, both operating in Hungary. The objectives of the case studies are to illustrate experiences of knowledge based entrepreneurship within a transition environment in terms of their different growth and development paths.
By carrying out in depth case studies using semi structured interviews with the founders, top management teams, core employees and key stakeholders in industrial associations I am able to explain the growth process of entrepreneurial knowledge based ventures. I assume an ecological view of the firm and examine the role of internal, strategic, network and external factors in this development process. I propose that the relative importance of these factors evolve over time from start up to maturity. Moreover, I anticipate that there will be complementarities between these factors in the spirit of Milgrom and Roberts (1995) and Von Tunzelmann (2003). This approach should help us better understand the complex nature of entrepreneurship.
The key contributions of these case studies are the application of an ecological conceptual framework to the development of knowledge based firms in Central and Eastern Europe, and so the viability of this model is tested within the transition environment. I follow the recommendations by Ireland et al. (2005) and introduce a temporal element in order to analyse the shift in importance of the factors impacting on firm development and growth, thus hoping to deal with some of the criticisms on existing entrepreneurial research
The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis
Today, the Big Data term has a multidimensional approach where five main characteristics stand out: volume, velocity, veracity, value and variety. It has changed from being an emerging theme to a growing research area. In this respect, this study analyses the literature on Big Data in the Economics, Econometrics and Finance field. To do that, 1.034 publications from 2015 to 2019 were evaluated using SciMAT as a bibliometric and network analysis software. SciMAT offers a complete approach of the field and evaluates the most cited and productive authors, countries and subject areas related to Big Data. Lastly, a science map is performed to understand the intellectual structure and the main research lines (themes)
Administrative Management Capacity in Out-of-School Time Organizations: An Exploratory Study
Based on interviews with sixteen high-quality out-of-school time (OST) program providers, identifies the managerial and administrative needs of OST nonprofits such as financial and human resources management and information technology. Suggests solutions
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Towards a business model for cellular network and telecommunication operators: a theoretical framework
Cellular networks and telecommunications bring major change to the way businesses are conducted.
Mobility has become one of the main priorities for users and this has impacted on cellular networks and telecommunication operators (CNTOs). However, entrants into the cellular industry have been confounded primarily by inexistent or weak Business Models (BMs). Designing a BM for a CNTO is
complex and requires multiple actors to balance different and often conflicting design requirements. Nevertheless, most research about CNTOs has been technically oriented and has mainly addressed the technological and engineering issues related to their infrastructure. Less attention has been given to
the business model of CNTOs. Hence, there is a need to enhance our ability to determine what
constitutes the optimal and most viable business model to meet the various strategic objectives and
goals for these CNTOs. In this paper an overview of research into the cellular business model and the main issues to be resolved is provided. In particular, the authors propose guidelines as a basis on which to develop a more comprehensive definition which may lead to a consensus. Moreover, a generic model (V4 Model) is proposed for the BM of these companies based on value proposition, value architecture, value network and value finance
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