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  • Knowledge transfer: a case study approach
    15-19
    Views:
    147

    The article builds on the growing importance of knowledge as a strategic resource for maintaining the competitive advantage of a business. We illustrate one of the initiatives contributing to effective knowledge transfer by describing a case study approach which suggests how universities might assist in disseminating knowledge and enhancing industry competitiveness.The case study approach is apparently an effective way to share best practices, and with the use of appropriate ICT tools, it provides for an enormous diffusion of codified (explicit) knowledge in the industry.The example in the focus of this article describes aVirtual Portal designed as a single-point access to information and tools (case studies, decision models and software), with the emphasis on case studies (their selection, coding and use).

  • Green networks: Innovative capacity of SMEs in the Dutch greenhouse horticulture industry
    43-50
    Views:
    169

    The Dutch greenhouse horticulture industry is characterized by world leadership in high-tech innovation. The dynamics of this playing field are innovation in production systems and automation, reduction in energy consumption and sharing limited space. However, international competitive advantage of the industry is under pressure and sustainable growth of individual enterprises is no longer a certainty. The sector’s ambition is to innovate better and grow faster than the competition in the rest of the world. Realizing this ambition requires strengthening the knowledge base, stimulating entrepreneurship, innovation (not just technological, but especially business process innovation). It also requires educating and professionalizing people. However, knowledge transfer in this industry is often fragmented and innovation through horizontal and vertical collaboration throughout the value chain is limited. This paper focuses on the question: how can the grower and the supplier in the greenhouse horticulture chain gain competitive advantage through radical product and process innovation. The challenge lies in time- to-market, in customer relationship, in developing new product/market combinations and in innovative entrepreneurship. In this paper an innovation and entrepreneurial educational and research programme is introduced. The programme aims at strengthening multidisciplinary collaboration between enterprise, education and research. Using best practice examples, the paper illustrates how companies can realize growth and improve the innovative capacity of the organization as well as the individual by linking economic and social sustainability. The paper continues to show how participants of the program develop competencies by means of going through a learning cycle of single-loop, double-loop and triple loop learning: reduction of mistakes, change towards new concepts and improvement of the ability to learn. Finally, the paper illustrates the importance of combining enterprise, education and research in regional networks, with examples from the greenhouse horticulture sector. These networks generate economic growth and international competitiveness by acting as business accelerators.

  • Examination of enterpreneurship ecosystem in Debrecen from the direction of open innovation spaces
    51-59
    Views:
    145

    Innovation is not just a technology, but it is rather a comprehensive vision of what the future should look like and which requires changes in many ambits. Innovation is driven by people’s needs, ambitions and dreams, and it is necessary that people at different positions in the society change the way they work and live. Innovation, as a result of human interactions, often fails because people do not understand each other, as they belong to different worlds which have their own languages and cultures. While innovation system-like thinking recognizes that the needs are a good mix of factors for innovation, it is hard to establish the perfect mix beforehand: innovation systems and policies need to be adaptive” (Klerkx, Mierlo & Leeuwis 2012). I tried to bring this complex vision to our future. The actuality of the topic is provided by the fact that we are in the period of the development of digital industrial revolution, on the peak of the technology innovations, slowly resulting in the revolutions of the machines. These technological innovations, trends, equipment or new technological achievements often make our work easier, or they may replace us, and will bring changes transforming the world with them. At present era, the availability and use of the relevant knowledge is essential. In Western Europe and in other more developed countries different spaces provide places for evolving various trends, applying the acquired knowledge, e.g. development of Silicon Valley, polices, clusters, co-workings. These innovative spaces may form a bridge for evolving a global, international or regional technology and knowledge transfer, sharing our knowledge and developing our competitiveness. They may be the engine of a “new world”. The entrepreneurship ecosystem in Debrecen was investigated regarding the presence of open innovation spaces. Though Debrecen has already had open innovation spaces, it does not have space operating as HUB. „HUB is a global platform, where people from all corners of the planet connect and engage in collaborative action to realize enterprising ideas for a better world” (HUB GMBH 2012). Furthermore, I studied the fact that why the creation of HUB in Debrecen is reasonable concerning every sector, and what characteristics this space may have. In order to analyze my hypotheses, I used questionnaires made by Delphi survey. During the process experts of this field were asked in two turns. Selecting the experts occurred on the basis of Helix model.

  • Analysis of time management and self-management work practice by leaders – a focus group study
    133-140
    Views:
    658

    Nowadays excellent leadership is one of the foundations of high organizational performance. Leadership excellence is a complex topic but efficiency and effectiveness are important components of it. These are closely linked to self-management and time management. In our focus group research, we asked senior executives about how they organize their average workday. We used two theoretical models: the Blue Ocean model and the Franklin Covey time-matrix. According to the participants the key component of effective self-management is the time management. In their leadership practice they often use a digital task manager, a workshop, an informal meeting as a tool and they find knowledge sharing also very important. They try to approach their employees empathetically. They would like to reduce the administrative tasks, spend less time on correspondence, travel and “small talks”. They would like to spend more time on automation and communication, further training and team work and dealing with the employees. They think that strategic planning, market analysis, sales, knowledge development and transfer should require more planning.

    JEL code: M12

  • Hungarian dairy and beef production sector technical efficiency comparsion using DEA
    131-138
    Views:
    227

    To examine and compare the technical efficiency of dairy sector and the beef sector, this research introduced the main indicators of milk and beef production in the world, EU and Hungarian aggregates. Based on the data it can be said that the milk and beef production of Hungary does not occupy any significant position in the world as well as in the European Union neither today nor even in the past. If Hungry must compete in the European counties and international market, their dairy sector must focus to increase of their production efficiency as the key breakthrough point. This paper we compared technical efficiency of both dairy and beef sectors in total, for the year 2014 and 2015 separately and based on the farm size. The specific objectives of the research are: comparing dairy and beef farms efficiency in Hungary. Based on the results, we can determine which sector in Hungary is more effective. The second objective is to compare the efficiencies of both the sectors in 2014 and 2015 separately and from the results we can determine which year was more effective in terms of production efficiency and the third objective of the research is technical efficiency comparison of certain economic sizes for both sectors. In the research, we used (KOVACS, 2009) deterministic (DEA) model adapted to the Hungarian dairy farms and beef farms. For the dairy farms milk and dairy products as well as meat (other income). The input factors originated from the domestic AKI - FADN database. Summarizing the results of the research it can be conclude that the dairy sector is more effective than the beef sector in Hungary. In terms of years compared 2014 was more effective for both sector as compared with 2015. In regards to the farm size almost the same result in evaluating the scale of efficiency, which means that large economies can in most cases, manage resources more efficiently than small farms. In the examined years, based on the results of the DEA model, the VRS technical efficiency of the test for these two years was 72.90% for the dairy farms and 63.60% for the beef farms, which means that the dairy sector is more efficient than the beef sector in Hungary. The VRS technical efficiency of the research was 82.10% in 2014 and 75.10% in 2015 for the dairy farms and 77.50% in 2014 and 68.90% in 2015 for the beef farms, which means that both the dairy sector and the beef sectors followed the same trend and were more efficient in 2014 compared to the efficiency in 2015. The large size dairy farms were most effective in Hungary in the examined period (90.90%). VRS technical efficiency for small farms is 88% and the total number of small, the technical efficiency medium farms was 72.80% For the beef sector VRS technical efficiency for small farms is 71.30% and the technical efficiency medium farms was 74.40% and 70% of the beef meat producing farms in Hungary are medium sized. So, the conclusion is the small size dairy farms have a higher VRS efficiency than the small size beef farms whereas medium sized beef farms had higher VRS efficiency than the medium size dairy farms. As a conclusion, both dairy and beef sectors in Hungary have the potential to overcome technology and knowledge constraints and attain the upmost attainable productivity level through improvements in; farmer volume of production i.e. output, beef cattle technologies, and advertising, and the efficiency of the technology transfer process.

    JEL Code: Q13

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