Document Type : Research Paper
Authors
1 Department of Agricultural Extension and Education, Faculty of Agriculture, Razi University, Kermanshah, Iran.
2 Department of Agricultural Extension and Education, Faculty of Agriculture, Razi University, Kermanshah, Iran
Abstract
Keywords
Extended Abstract
Objectives
In recent decades, the use of robots and automated systems in livestock has been expanding; Because investing in livestock is a very high risk. The use of digital technologies, robots and automated equipment can eliminate losses in the long run and extremely increase investment returns (masoodi, 2016) . Precision Animal Husbandry Units is an innovative production system approach based on the centralized and integrated use of advances in animal science and modern information and communication technology (navrozi & saeeddokht, 2020).
In other words, Intelligence livestock units can provide many opportunities for producers. Today, ranchers are increasingly using robots to produce and execute their programs accurately to optimize their unit production. Livestock intelligence through automation systems will lead to remarkable success among other competitors (Serap and Cahit. 2018). One of the important challenges in production units is to get updates faster, which intelligence production units can fill this gap (Patrício and Rieder.2018).Therefore, in the present study, an attempt has been made to analyze the effect of digital competence components of livestock business managers on the intelligence of their businesses. Due to the increasing demand for livestock products, the need for business intelligence is felt more than ever. In the present study, we tried to examine the components affecting business intelligence.
Method In the present descriptive survey research, using correlation method, the effect of digital competence components of livestock business managers on the intelligence of their businesses should be investigated. The study population was dairy breeding units (industrial and traditional) in Kermanshah (N = 362) where 152 person were studied using stratified sampling method with proportional assignment.Data were collected through a researcher-made questionnaire. The different parts of the questionnaire are: Survey of personal and professional characteristics of the respondents - Digital competence of the managers of livestock units (35 items) - Intelligence of livestock businesses (23 items). In order to measure the items, a 5-part Likert spectrum (1 = strongly disagree to 5 strongly agree) was used. The validity and reliability of the questionnaire were confirmed by a panel of experts and convergent validity and Cronbach's alpha. After completing the questionnaires, SPSS18 and Amos statistical software were used to process the received data. In this study, statistical analyzes: mean, standard deviation, Pearson correlation and simple-linear regression were used. Results According to the findings, the average age of the subjects is 44.86 years with a standard deviation of 9.44. . The study of variables related to digital capability showed that the study population is in a medium to high position in terms of this variable. Also, in phase of business intelligence, it is at an above-average level (average of 3.79 and standard deviation of 0.60 . According to the findings, the fit of the studied model to the sample data is at an acceptable level. Therefore, the correlation in the model is acceptable and the predictability of independent variables whose relationships are significant is also confirmed. After reviewing and confirming the model, in order to test the significance of the hypotheses, two partial indicators of critical ratio CR and P have been used. Values less than 0.05 for P also indicate a significant difference between the values calculated for regression weights with a value of zero at the 95% level. If the value of the critical ratio of each variable is at the level of 5% in the range (-1.96) to (1.96), it indicates that its effect on the dependent variable is not significant.Accordingly, the results indicate that only the critical ratios of the relationship between business intelligence variables with the legal factor and the psychological factor are less than 1.96 and other relationships are significant. And it can be said that with 99% confidence, there is a positive and significant relationship between technical competence and legal, economic and psychological factors. Also, According to the findings, there is a positive and significant relationship between business intelligence with economic factor and technical competence at 99% level. Discussion In the results of previous research, all their findings emphasized that the high digital capability of production unit managers and their willingness to use digital technologies had a significant impact on the intelligence process of these units. The use of intelligence technologies also increases the efficiency and productivity of production units, and the use of digital technologies has a great impact on nutrition management, animal health and cost reduction.In the present study, by considering the factors and components affecting the digital capability of livestock managers and also examining the components of business unit intelligence, by separating the components and their factors, we came to good findings with more complete details as follows:- The majority of the target community is at an acceptable level in phase of digital capabilities; And this finding suggests that advances in technology and digital technologies have quite a tangible impact on society, and the majority have minimal digital capabilities, and this in itself can be a starting point for the pervasiveness of business intelligence.- Among the studied components, technical competencies have a positive and significant relationship with legal factors, economic factors and psychological factors; And the trustees and those involved should pay special attention to this issue.- There is also a positive and significant relationship between economic factor and technical competencies with the intelligence of business units; Production activities, given that they are inherently an economic sector, are the result of economic factors as motivating forces in this field.
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