Showing papers by "Aletheia University published in 2022"

Antecedents and Outcomes of Social Capital: Evidence from a Professional Baseball Franchise

Abstract: The empirical paper aimed to develop a theoretical model of social capital in professional spectating sports by investigating the antecedents and outcomes related to social capital from the spectator's viewpoint.Brothers Elephants, a professional baseball franchise in the Chinese Professional Baseball League, provided the research setting. The study's participants consisted of 422 spectators of a Brothers Elephants game at its home field, Taichung Intercontinental Baseball Field. Around half of the participants were male; 46.4% of them aged between 30 and 39 years old. Data analysis was conducted through structural equation modeling.Results revealed that social interactions positively correlated with social capital, prosocial behavior, and spectator intention to re-attend the sporting event. Corporate social responsibility (CSR) also positively predicted intention to re-attend the sporting event, social capital, and prosocial behavior. Social capital significantly correlated with prosocial behavior and subjective well-being, and prosocial behavior significantly correlated with subjective well-being and intention to re-attend the sporting event.The results suggest that social capital can be developed through social interactions and perceived CSR in the context of professional spectator sporting events, with such social capital increasing, in turn, prosocial behavior, subjective well-being, and intention to re-attend the sporting event. From perspective of practical implication, professional sports franchise can develop more campaigns that boost sports spectators' perceived social interactions and CSR, which can increase their social capital, prosocial behavior, subjective well-being, and their intention to re-attend the sporting event.

Intelligent Sensing for Internet of Things Systems

Abstract: <p>The Internet of things (IoT) has been used for many applications. These applications are accomplished by numerous sensors that detect and share information. When people use the detected information in an IoT system to improve the performance of services, also called the intelligence of the system, this type of IoT is named artificial intelligence of things. This paper proposes a model for improving the flexibility of sensors to enhance the intelligence of IoT. The model defines the quality levels of events and monitoring data for all types of monitoring. In the model, the data or events with different levels have different transmission priority. To reduce energy consumption of detection and transmission, the detecting period of sensors can be set to be longer when the monitored status is normal. In the model application, the sensors shorten the event detection and reaction times. Therefore, the efficiency of monitoring is enhanced. The evaluation demonstrates that the event detection and response times of the proposed mechanism are better than those of other mechanisms. </p> <p>&nbsp;</p>

MCDM Prioritization Based on Interval Type 2 Intuitionistic Fuzzy Sets Ranking with Parametric General Graded Mean Integration Representation

Abstract: This paper defines the interval type 2 intuitionistic fuzzy sets (IT2IFS) which combines the advantages of interval type 2 fuzzy sets (IT2FS) and intuitionistic fuzzy sets (IFS). Not only can IT2IFS include uncertain or incomplete information, but it is capable of containing both the positive and non-positive judgments. Mostly, multiple criteria decision making (MCDM) problems are under uncertain environment or lack complete information. It is better to model with IT2FS. In addition, IFS takes into account membership (belongs) and non-membership (does not belong) degrees, which is appropriate to allow experts to express positive and non-positive judgments. It is critical in MCDM to determine the priority. An IT2IFS ranking methodology based on the general graded mean integration representation (GGMIR) is developed. The decomposition process of IT2IFS with two IT2FS is presented to formulate the IT2IFS GGMIR. The IT2IFS GGMIR is served as a well-defined partial ordering. Additionally, the IFS type reduction and defuzzification process can be achieved by leveraging the IT2IFS GGMIR. The effectiveness of the proposed methodology is demonstrated by an IT2IFS MCDM problem.