Designing structural model of elemental, behavioral and motivational traits in horse racing betting with mix method

Ghezelsefloo, Hamidreza

doi:10.30473/arsm.2020.43713.2846

Document Type : Research Paper

Author

Hamidreza Ghezelsefloo

Assistant Professor in sport management of Gonbad Kavous Univesity

https://doi.org/10.30473/arsm.2020.43713.2846

Abstract

Identifying the behavioral traits of Sport bettor is an effective strategy to predict the tendency to future betting. The purpose of this paper is designing structural model of elemental, behavioral and motivational traits in horse racing betting by mix method. For this purpose, an exploratory mix method in qualitative phase (30 people) by means of cognitive sampling and a quantitative phase (250 people) was employed by a snow fall sampling. To data collection, researcher-made questionnaire with three subscales of elemental, behavioral and motivational factors was used as five-point likert scales. Results of factor analysis showed that in elemental cub scale, Conscientiousness (β=0.65) and agreeableness (β=0.57), in behavioral sub-scales, numeric interest (β=0.79) and Impulsiveness (β=0.68) and in motivational sub-scales, money (β=0.84) and escape (β=0.62) were main components to explain the path mode. In addition, marring and experienced bettors were more likely to betting. Therefore, preparation of appropriate profiles of the behavioral traits of bettors, in addition to the role of deterring the destructive cultural and social consequences, is an effective strategy in sports marketing sector based on identifying the need assessment of personality traits

Keywords

20.1001.1.23455551.1399.9.2.8.3

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Applied Research in Sport Management

Designing structural model of elemental, behavioral and motivational traits in horse racing betting with mix method

References

References

Volume 9, Issue 2 - Serial Number 34
Fall 2020
December 2020
Pages 75-86

Designing structural model of elemental, behavioral and motivational traits in horse racing betting with mix method

References

References

Volume 9, Issue 2 - Serial Number 34Fall 2020December 2020Pages 75-86

Volume 9, Issue 2 - Serial Number 34
Fall 2020
December 2020
Pages 75-86