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Quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques. [ 1 ] The objective of quantitative research is to develop and employ mathematical models , theories and/or hypotheses pertaining to phenomena. The process of measurement is central to quantitative research because it provides the fundamental connection between empirical observation and mathematical expression of quantitative relationships. Quantitative data is any data that is in numerical form such as statistics, percentages, etc. [ 1 ] In layman's terms, this means that the quantitative researcher asks a specific, narrow question and collects numerical data from participants to answer the question. The researcher analyzes the data with the help of statistics . The researcher is hoping the numbers will yield an unbiased result that can be generalized to some larger population.
Qualitative research is a method of inquiry employed in many different academic disciplines, traditionally in the social sciences , but also in market research and further contexts. [ 1 ] Qualitative researchers aim to gather an in-depth understanding of human behavior and the reasons that govern such behavior.
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. [ 1 ] Qualitative researchers aim to gather an in-depth understanding of human behavior and the reasons that govern such behavior. The qualitative method investigates the why and how of decision making , not just what , where , when . Hence, smaller but focused samples are more often needed, rather than large samples . Qualitative methods produce information only on the particular cases studied, and any more general conclusions are only hypotheses (informative guesses).
Indian Institute of Management Bangalore September 29, 1996 Creativity and Innovation Management, Vol. 5, No. 3, pp. 179-185, September 1996 Abstract: In an earlier study of the policy orientations of innovative entrepreneurs, it was observed that there were considerable variations within the high-innovation and low-innovation groups identified for the purpose of comparing policy orientations. The possibility of identifying sub-types within the two groups was apparent and therefore the sample was subjected to cluster analysis. The most interpretable clusters were obtained when the two groups were clustered separately on the basis of the innovators’ orientations.
Peter L Jennings Arizona State University (ASU) Lew Perren University of Brighton Sara Carter
University Entrepreneurship: A Taxonomy of the Literature by Frank Rothaermel, Shanti Dewi Anak Agung Istri, Lin JiangFrank T. Rothaermel Georgia Institute of Technology Shanti Dewi Anak Agung Istri Georgia Institute of Technology - College of Management
Rui Baptista Instituto Superior Tecnico, Technical University of Lisbon Ana Naia
13th International Symposium on Knowledge and Systems Sciences (KSS 2012) KMIRC has co-organized with Japan Advanced Institute of Science and Technology (JASIT), Dalian University of Technology and the Academy of Mathematics and Systems Science of Chinese Academy of Sciences for the 13th International Symposium on Knowledge and Systems Sciences (KSS 2012) in Japan on 16-20 November. Prof. Lee delivered a keynote speech on 'Open Innovation under a Cloud Service Environment' which were well received by the audience. <p style="text-align:right;color:#A8A8A8"></p>