Redirigiendo al acceso original de articulo en 23 segundos...
Inicio  /  Information  /  Vol: 9 Par: 12 (2018)  /  Artículo
ARTÍCULO
TITULO

Empirical Study on the Factors Influencing Process Innovation When Adopting Intelligent Robots at Small- and Medium-Sized Enterprises?The Role of Organizational Supports

Moon Jong Choi    
Sanghyun Kim and Hyunsun Park    

Resumen

Robot technology at small- and medium-sized enterprises has become a crucial part of current business operations. Beginning with the manufacturing industry, more industries than ever before have recently begun making use of robot technology to increase operational efficiency and productivity. However, prior studies regarding innovation related to intelligent robot use have been limited to developing strategies for describing robot technologies in general. Therefore, we developed a research model for investigating process innovation as it relates to intelligent robots. Based on the literature, two variables of technology benefits (direct usefulness and indirect usefulness) and two constructs of environmental pressure (industry and government) were incorporated into the research model as key determinants of a firm?s process innovation. Furthermore, organizational supports as moderating variables were added to the relationship between technology benefits and process innovation. We collected 257 responses in managerial position at various firms in order to test the proposed hypotheses using structural equation modeling in the statistical software (AMOS 22.0). The results revealed that all variables have a significant impact on process innovation, as well as the moderator. The findings of this study provide theoretical and practical implications for process innovation based on intelligent robot technology.

 Artículos similares

       
 
Juan Murillo-Morera, Carlos Castro-Herrera, Javier Arroyo, Ruben Fuentes-Fernandez     Pág. 114 - 137
Today, it is common for software projects to collect measurement data through development processes. With these data, defect prediction software can try to estimate the defect proneness of a software module, with the objective of assisting and guiding so... ver más

 
Samuel Fernando Adami, Ricardo Marques Coelho, Márcio Koiti Chiba, Jener Fernando Leite de Moraes (Author)     Pág. 433 - 440
This paper presents the results of integrated environmental analysis of the Ribeirão do Pinhal drainage basin, undertaken with geographic information systems and spatial analysis techniques. The empirical analysis of environmental fragility methodology w... ver más

 
Eyad K. Sayhood, Nisreen S. Mohammed, Salam J. Hilo and Salih S. Salih    
This paper presents comprehensive empirical equations to predict the shear strength capacity of reinforced concrete deep beams, with a focus on improving the accuracy of existing codes. Analyzing 198 deep beams imported from 15 existing investigations, t... ver más
Revista: Infrastructures

 
Zhipeng Zang, Zhuo Fang, Kuan Qiao, Limeng Zhao and Tongming Zhou    
A three-dimensional numerical model was established based on ANSYS-AQWA (R19.0) software for the purpose of analyzing the hydrodynamic characteristics of a floating breakwater. This study examines three distinct floating breakwaters with different cross-... ver más

 
Xie Lian, Xiaolong Hu, Liangsheng Shi, Jinhua Shao, Jiang Bian and Yuanlai Cui    
The parameters of the GR4J-CemaNeige coupling model (GR4neige) are typically treated as constants. However, the maximum capacity of the production store (parX1) exhibits time-varying characteristics due to climate variability and vegetation coverage chan... ver más
Revista: Water