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This study explores how business organizations taper their ethical problems and garner positive images as a result of the managing organizational legitimacy, especially in the case of the Korea Racing Authority (KRA). KRA adopted various strategies with a full understanding of the message, ‘legitimacy matters’, including organizational ‘repositioni...
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The paper starts with a brief review of some of the debates about the changing nature and scope of TVET and its institutionalization. This provides a context for considering why different kinds of knowledge, rather than generic versions of skill, needs to be the basis of TVET curricula. Within this frame the paper then considers the idea of vocatio...
Citations
... With the increasing popularity of the horse racing industry, about 130 million people around the world participate in horse racing lottery guessing. People began to summarize general laws in various types of horse racing, trying to find a way to improve the level of winning and losing guessing [4]. Today, with the vigorous development of normalization, traditional horse racing prediction models generally have low prediction accuracy and imperfect system architecture design, which can no longer meet the needs of horse racing management and competition outcome prediction. ...
With the vigorous development of horse racing, people’s attention to horse racing has increased significantly. Some experts and scholars have conducted research on the decision-making management and predictive analysis methods of horse racing. Today, with the rapid development of information technology, the amount of data and data dimensions of horse racing competitions continue to explode. The increase in data scale and feature dimensions provides new challenges for competition management and competition prediction research. At present, traditional prediction algorithms can no longer meet the needs of horse racing situation prediction, but research has found that association rules and neural network algorithms provide a good solution to the classification and prediction problem. Based on the advantages of association rules and neural networks in analyzing data, according to the requirements of horse racing decision management, this paper adopts the B/S structure to realize the construction of the horse racing decision management optimization model from the three aspects of hierarchical structure, functional structure, and forecasting process. Combined with the horse racing decision management optimization model, based on a large number of experimental training data, the final conclusion is drawn: first, the factors that affect the horse racing performance are from large to small. The order of arrangement is: race schedule > age > gender > weight > rating > horse top three rate > jockey > weight load > harness > ranking > field nature > field > trainer; the second is the prediction and actual results of the neural network algorithm. The closest one, which is slightly higher than 90%, has the highest prediction accuracy; third, the average value of the horse racing performance prediction of this system during the review is only 2.01 s, and the misappraisal rate is 0.12%, indicating that the application value of this system is significant; fourth, in the average time spent in the two seasons, the average time spent in the second season was reduced compared with the average time spent in the first season, with a maximum reduction of 0.984 s, indicating a slight improvement in the performance of the 2020 season. Using this system to predict horse racing, results can improve the optimization of horse racing decision management to a certain extent.
... Summarizing the results of the research, there can be formulated specifi c conclusions about the role of symbolic action (as the basis for the generation of symbolic capital). Symbolic capital is supporting the process of developing social capital as a source of resources (Gretzing er and Royer, 2011; Kang and Park, 2016). It has been shown that symbolic actions infl uence investors decisions and that acquisition of fi nancial resources is easier with use of symbolic action and symbolic assets (as good reputation) ( This calls into question the unambiguous role of symbolic management in the accumulation of organizational resources. ...
The article aims to analyze the current literature (conceptual and research articles) in the field of relations between the symbolic activities of the organization and the ability to acquire resources and their efficient exploitation, and an attempt to build a conceptual model on this basis. This goal was achieved by applying a systematic literature review. The analysis was based on literature, both conceptual and research. Types of resources purchased by stakeholders were indicated. The study presents a conceptual model describing the role of symbolic activities in the process of resource acquisition and management. The concept of symbolic obligations was presented as a consequence of actions taken by organizations.
Horse racing in Canada is an important industry from an economic and leisure perspective; however, in recent years, little research has been done into the attitudes of industry stakeholders. In this study, we conducted a self-administered survey (n = 526) with Canadian horse owners, breeders, trainers, drivers, officials, and operators about the state of the industry. Data were collected on the industry’s current status, investment priorities and challenges, and on how to improve the spectator experience. The results point to some difference among provinces. There was stakeholder convergence about the current situation and the urgent actions required to address the challenges faced by this industry. In order to revitalize the horse racing industry, a holistic and multifaceted approach is recommended to reawaken interest among stakeholders and customers, to encourage financial reinvestment, and to implement new communication and promotional strategies.
