Acceso al sitio web del Consejo de Políticas de Infraestructura

   
ARTÍCULO
TITULO

The Work Performance Analysis of Sea Fishing in Kolaka Regency

Rusdiaman Rauf    
Amiruddin Tawe    
Muhammad Rakib    

Resumen

The purpose of this study is (1) to analyze the direct effects of work motivation, risk taking, entrepreneurship learning and individual commitment to work performance; (2) to analyze the indirect influence of work motivation, risk taking, entrepreneurial learning through individual commitment to the work performance. This study uses a survey with a sample of 125 respondents. The data were analyzed using Path Analysis. The results showed that (1) work motivation, risk-taking, and individual commitment at significantly influences on work performance, while the entrepreneurship learning does not significantly influences; (2) risk-taking and entrepreneurial learning indirectly influences to individual commitment and significantly influences the business performance, while work motivation to individual commitments indirectly gives no significant effect on work performance.Keywords: Work motivation, risk taking, entrepreneurship learning, individual commitment, and work performance.JEL Classifications: L, L26

PÁGINAS
pp. 433 - 441
MATERIAS
ADMINISTRACIÓN

 Artículos similares

       
 
Sungil Byun and Dongik Lee    
This paper presents a phased fault tree analysis (phased-FTA)-based approach to evaluate the performability of Autonomous Underwater Vehicles (AUVs) in real time. AUVs carry out a wide range of missions, including surveying the marine environment, search... ver más

 
Utpal Barman, Parismita Sarma, Mirzanur Rahman, Vaskar Deka, Swati Lahkar, Vaishali Sharma and Manob Jyoti Saikia    
Invading pests and diseases always degrade the quality and quantity of plants. Early and accurate identification of plant diseases is critical for plant health and growth. This work proposes a smartphone-based solution using a Vision Transformer (ViT) mo... ver más
Revista: Agronomy

 
Zahid Masood, Muhammad Usama, Shahroz Khan, Konstantinos Kostas and Panagiotis D. Kaklis    
Generative models offer design diversity but tend to be computationally expensive, while non-generative models are computationally cost-effective but produce less diverse and often invalid designs. However, the limitations of non-generative models can be... ver más

 
Oscar Licandro, José Luis Vázquez Burguete, Luis Camilo Ortigueira-Sánchez and Patricia Correa    
Research work on the relationship between Corporate Social Responsibility and financial performance has been going on for seven decades. Even when the prevailing studies are those that found a positive influence of social responsibility on financial perf... ver más

 
Peranut Nimitsurachat and Peter Washington    
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m... ver más
Revista: AI