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Year : 2021, Volume : 16, Issue : 1
First page : ( 271) Last page : ( 278)
Print ISSN : 2230-9047. Online ISSN : 2231-6736. Published online : 2021  09.

Semantic Differential Technique and Force Field Analysis to Identify Entrepreneurial Behaviour and Environment Respectively Between Processor and Producer

Shruti1, Sharma J.P.2*, Burman R.R.3, Gills R.4, Bhowmik A.5

1ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly-243122, Uttar Pradesh

2Vice-Chancellor, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, J&K

3Principal Scientist, ICAR-Indian Agricultural Research Institute, New Delhi

4Scientist, ICAR- Central Marine Fisheries Research Institute, Kochi, Kerala

5Scientist, ICAR-Indian Agricultural Statistics Research Institute, New Delhi

*Corresponding author email id: jpscatat@gmail.com

Received:  01  ,  2021; :  01  ,  2021.

Abstract

An enterprise’s success or failure depends on internal (entrepreneurial behaviour) and external (entrepreneurial environment) factors of that particular location. In the present study, the entrepreneurial behaviour of producers and processors was studied using the semantic differential technique. The distance statistic between processor and producer obtained as 2.33, which is significant in Mann Whitney test statistic (U= 2; p<0.001). The producers were found to have low risk-taking ability (3.5), lower innovativeness (3.03), lack scientific orientation (3.43), inactive (1.89), external locus of control (2.71), lower creativity (2.92), and inquisitiveness (3.04) than processors. Among processors, food grain processors (17.6) possessed more entrepreneurial behaviour followed by vegetable processors (15.61), and fruit processors (15.29). The entrepreneurial environment was assessed by Force Field analysis and found that in the case of driving forces, the processors (39.10) possessed a higher mean rank than producers (21.90), probably due to lower access to institutional support (F=1.4; P=3.63), collective marketing (1.8) and food processing courses (F=2.4; P=3.6) of the producer. For restraining forces, the producers (45.33) possessed a higher mean rank than processors (15.67). The processors lacked awareness about processing technology (4.8), inadequate support to start up (3.8), lacking exposure visit (4.6), the existence of middlemen (5), lacking economic motivation (5), lacking marketing orientation (3.8), and perceiving processing as a cumbersome process (3.2) etc.

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Keywords

Semantic differential technique, Force field analysis, Driving forces, Restraining forces, Entrepreneurial behaviour, Entrepreneurial environment.

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