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Title: | Managerial heuristics of pioneering innovative (PI) entrepreneurs: an exploratory study |
Authors: | Manimala, Mathew James |
Keywords: | Innovations;Pioneering - Innovative index;Entrepreneurial behaviour |
Issue Date: | 1988 |
Series/Report no.: | TH;1988 |
Abstract: | Managerial heuristics are defined as the decision-rules guiding the less programmed decisions of entrepreneurs/executives. A review of literature on entrepreneurship suggests that the scene is dominated by the search for economic, socio cultural and psychological factors to explain entrepreneurial behavior. The managerial heuristics of entrepreneurs are rarely studied. Moreover, the traditional research has generally viewed entrepreneurship as a uni-dimensional construct and expected the same set of factors to explain all kinds of entrepreneurship. The literature survey showed no large sample studies of innovative entrepreneurs. The present study compares the pioneering innovative (PI) entrepreneurs with low PI entrepreneurs on the managerial heuristics implied in their decisions. Data for the study were collected from 138 stories of first generation entrepreneurs published in Indian business magazines, books and a Canadian book. In addition, interviews of 26 first generation entrepreneurs were also conducted. A pilot study of the relatively less programmed decisions reported in 40 of the published stories revealed 186 decision - rules (managerial heuristics). Each of the 138 stories was then rated for the presence or absence of these heuristics in it, on a three-point scale. A PI index was developed based on ten different types of innovation, such as introduction of a new product/new method, identification of a new source of supply/new market, use of a new marketing strategy/ a new way of managing finance, development of a new culture/structure., and so forth. Each entrepreneur was assigned an innovativeness score (PI index) based on the presence or absence of these ten types of innovation. Similar scores were obtained from the interview data for the 26 entrepreneurs. Finally demographic data were collected on the nature of the entrepreneur and his enterprise. To test the reliability of the researcher’s ratings, two random samples from the published cases were selected and rated separately for heuristics and PI index items by two independent raters. One trained in management and the other untrained. The inter-rater correlation between the researcher and the untrained rater was 0.91, and between the researcher and the trained rater was 0.94. For the purpose of comparative analysis, a high PI group and a low PI group were identified. Those cases scoring in the upper third of the PI index were assigned to the high PI group entrepreneurs (N=52): those scoring in the lower third were assigned to the low PI group (N=46). The data have yielded the following results: 1) Out of the 186 heuristics, 77 had significantly different (at p<=0.05) group means for the high PI and low PI groups. These were called PI heuristics. The remaining 109 heuristics were referred to as the general entrepreneurial heuristics. 2) A classification of the above two sets of heuristics into various functional areas showed up substantial differences between common entrepreneurs and the PI entrepreneurs in terms of their heuristic orientations. 3) A hierarchical factor analysis of the PI heuristics yielded six PI orientations. 4) A hierarchical factor analysis of the general entrepreneurial heuristics yielded 8 general entrepreneurial orientations. 5) A discriminant analysis showed that the PI orientations could discriminate between the low PI and the high PI groups with a probability of misclassification of 0.12. However, the addition of the general entrepreneurial orientations increased the discriminatory power and brought down the probability of misclassification to 0.80. 6) A stepwise regression analysis of PI index scores on the 14 PI and general orientations showed that eight of the (five PI and three general) explained 50% of the variance in the PI index. 7) Correlations between the ten types of innovation and the 186 heuristics showed that different sets of heuristics are associated with different types of innovation. For instance, cultural innovation is significantly (at p<=0.01) correlated with the largest number (47) of heuristics, and government relations innovation with the fewest (8). 8) A classification of the high, moderate and low PI cases according to region, time period, and industry and their Chi-square analyses showed that there was no significant difference in the promotions. Thus the hypothesis of environmental determinism was not supported. 9) A cluster analysis of the PI and the low PI groups separately on the basis of the six orientations revealed seven types of high PI cases and six types of low PI cases. The study has its limitations arising mainly out of the use of journalistic data. However, the findings have thrown some light on the policy orientations of pioneering innovative entrepreneurs. The potential impacts on understanding indigenous models of management and on the training and development of entrepreneurs are discussed. |
URI: | http://hdl.handle.net/11718/310 |
Appears in Collections: | Thesis and Dissertations |
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TH 1988_6.pdf Restricted Access | 5.63 MB | Adobe PDF | View/Open Request a copy |
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