An Application of Iddhipāda Principles for Performance Capability Development of the Personnel Private Sector’s Security Business in the Upper Northern Region

Abstract

This research aimed to 1) examine the level of performance among private security personnel in the upper North region, 2) explore the relationship between the principle of influence of performance among private security personnel in the upper North region, and 3) present the application of the principle of influence in enhancing the performance of private security personnel in the upper North region. The study employed a mixed-methods approach. For the quantitative analysis, the population consisted of 154 personnel from the private security sector in the upper North region, calculated using Taro Yamane’s formula. The questionnaire demonstrated a reliability of 0.97. The data analysis utilized frequency, percentage, standard deviation for hypothesis testing, and Pearson’s correlation coefficient. The qualitative aspect involved in-depth interviews with 12 individuals, analyzed through content analysis techniques.

          The research findings indicated that:

          1) The level and development of performance among private security personnel in the upper North region were overall at the highest level.

          2) The relationship between the principle of influence and the development of performance among private security personnel in the upper North region was positively significant at a fairly high level.

          3) The application of the principle of influence to enhance the performance of personnel in the private security sector in the upper North region highlighted that Chanda should focus on creating motivation and fostering an organizational culture that values ​​diligence through disciplined training. Viriya should address obstacles effectively. Citta should implement technology to assist with monitoring, along with a robust inspection and evaluation system. Vīmaṁsā should be managed by developing decision-making skills and utilizing technology for data analysis.