Technology transfer managers or researches had constituted some models in their own perspectives in order to cope with the challenges they faced before. There are lots of seperation methods about the technology transfer models , however, we preferred to seperate the technology transfer models into two main categories. They are qualitative models and quantitative models. 3.4.1. Qualitative Models Jagoda (2007) points out that, qualitative models involve non-numerical psychological activities in technology transfer that are directly effect the success of the company. There are many qualitative models such as ; • The Bar –Zakay Model (1971); • The Behrman and Wallender Model (1976) • The Dahlman and Westphal Model (1981) • The Schlie, Radnor and Wad Model (1987) • The Chantramonklasri Model ( 1990) The common thread to all this qualitative models that they divide the technology transfer process into different categories themselves and they tries to cope with the transfer process by ignoring the analytical or mathematical data. Moreover, those models have some weaknesses. The Bar Zakay Model (1971) has four stages of the technology transfer model . Moreover , it suffers from limited relevance compared to present conditions. The Behrman and Wallender Model (1976) consists of seven categories . The weakness of the Behrman and Wallender Model is that transferor contribution is slightly low and transferee is the base. The Dahlman and Westphal Model (1981) has nine stages as in the technology transfer model . This model is the developed model as The Behrman and Wallender. The major weakness of this model is that the transferee neccessitates high level engineering skills. The Schlie, Radnor and Wad Model (1987... ... middle of paper ... ...ogy vary with respect to cultural differences, work habits, and norms. (Slowikowski and Jarratt, 1997). • Business Factors Product features and commercial decisions include the business factors of the firms and the main trouble that factor faces is shareholders and managers conflicts. • Human Factors Human factors effect the transformation process with regarding to employees and their effectiveness rates , their workshops or trainings. (Mitala and Pennathurb, 2004) • Geographical Factors The geographical factors are another crucial points of the technology transfer process. Because of the fact that it directly affects the technology transfer and adaptability problems. Geographical location is regarded as a technical issue and may affect the capacity utilization of equipment in terms of temperature , climate problems, air conditions, voice canals humidity.
It is in the midst of all these changes that Israeli-born physicist and business manager Goldratt used the unique novel form instead of a textbook to introduce his theory of constraints. It now seems like no big deal these days because in most companies looking for the bottlenecks is second nature. Yet going back to the early 1980s, these were radical ideas concerning continuous process improvement that The Goal was
This article deals with the topic of how organizations should go about implementing new technology systems. The article is built around Murphy's Law that, "Whatever can go wrong, will." When organizations implement new system a lot of know problems cannot be avoided and unforeseen problems arise with even grater frequency. Chew outlines seven points to help launch a new system with greater success since they are essential for long-term survival.
which identified itself as using the transformational model. This model is very important since it
Once the new products are identified for your business (Milestone One), how has the use of technology helped or hindered this organization in determining which new products to
Thematic analysis is espoused to be the foundational approach to qualitative analysis and methods (Saunders et al., 2016 as stated in Braun and Clarke, 2006: 78) and it is a useful method used to identify and analyse the order and patterns of qualitative data (Attride-Stirling, 2001). Qualitative research method depicts the correlation that exists between data and events, creating the pictorial representation of what one thinks a given data says (Saunders et al., 2016). They also opined that, qualitative data analysis is cogent, interactive and iterative. Also, Joana and Jill (2011) and Saunders et al (2016) postulate that, qualitative research brings meanings from words and images as opposed to numbers. However, despite its robustness and rigour of its application, it is skewed more to the interpretivist ideologies since researchers draw conclusion from participants and the hypothesis being forecasted (Joana and Jill, 2011; Saunders et al., 2016).
Ideally, the reverse process should occur, where the tailored organization progresses from a detailed understanding of its problems, which ensures that a particular technology or technique is adapted to meet the needs of the tailored organization. This process of adaptation should also take into account the production and operation, size and workforce. Tailored organization needs to frame in terms of the needs of the tailored organization rather than the other way round. It is a decreasing function of improvement of the decision making of organization. If this were the case, imperative strategic organization would get another empirical prediction.
Qualitative research is a method of inquiry appropriated in many different academic disciplines, traditionally in the social sciences, but also in market research and further contexts (Denzin, Norman, Lincoln & Yvonna . 2005).
The team/matrix structure within this organic model clearly creates product innovation, job satisfaction, across the board high profits and lower costs. This is a result of the organic model with a team/matrix structure influenced by their innovation strategy.
pp. 146-170. Kreitner, R., & Kinicki, A., (2004). Organizational Behavior (6th ed.). New York: McGraw-Hill/Irwin.
Y2K conversion wasn't too high in the value-chain job, however it gave Indian companies a view of what was possible. Then came process maturity and standardization through processes. Indian companies have spent much time honing rigorous developmen...
Transferrable skills development is essential in order to increase one’s chance in their career fields. While this is an important aspect of job searching, most students do not spend enough time to enhance these skills. There are various opportunities where a student is able to develop these skills, including post-secondary institutes and work placements. In a school setting, students are able to learn the theoretical aspects while in a placement setting, students receive hands-on experience.
Transferable skills are the skills that a person acquires and transfers to future employment settings.
This change brings about new product and services thereby creating new avenues of wealth creation in an economy. For example, with advent to online market places, goods and service from different regions can easily be advertised, paid for, sold and shipped easily providing different levels of employment and income models such as for shipping companies, mobile money processing service providers, internet connectivity companies among other opportunities. This diversified creation of opportunities increases production and boosts an economy’s real GDP. In this way, the opportunity cost of the above example is increased cost of training of workers for the new skills required to perform above tasks. This said, the advantages of technological change out-weigh the associated training costs. Consequently, governments and economists support technological change despite risks of structural
However, despite the long-term economic growth, technological progress is very important, and even if we...
Qualitative data analysis is the process of transforming data into information, information into understanding and understanding into knowledge (Davenport & Prusak, 1998). Furthermore, qualitative data analysis can be described as a blend of scientific studies and artistic style to create an innovative product. The research acts as the primary research tool, and must be able to sustain composer throughout the entire study. In addition, the researcher must be able to pay attention to the small details of the study, without losing sight of the big picture of the study (Chenail, 2012).