ARTÍCULO
TITULO

Innovation Capabilities and Business Performance in the Smart Farm Sector of South Korea

Daeyu Kim and Seunghoo Jin    

Resumen

Ever-increasing unpredictability has led to recognition of increasing importance of innovation capabilities of businesses. In spite of recognizing such an important issue of innovation capability, not much research has been conducted on the relationship between innovation capabilities in business planning, R&D, commercialization and innovation performance. The current research, thus, intends to provide an empirical analysis of the effect of smart farm companies? innovation activities on their innovation performance. Classifying innovation capabilities into three categories of planning, R&D and commercialization capability, the current research aims to identify the effect of each category on sales and patent acquired. Moreover, it aims to identify the moderating effect of governmental policy and support for technology on the relationship between innovation activities and performance. It was found that planning, R&D and commercialization capabilities exerted a positive impact on business performance. It was also found that governmental policies and support helped enhance business performance.

 Artículos similares

       
 
Salman Iqbal, Vladimír Bure?, Marek Zanker, Muhammad Abdullah and Beth Tootell    
Purpose: This paper seeks to explore the influence of workplace spirituality on employee behavior within organizational settings. Design: Systems thinking is used to explore various interrelated concepts of workplace spirituality (WPS). This study delves... ver más

 
Chang Guo, Jianfeng Zhu and Xiaoming Wang    
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS), real-time and accurate traffic flow prediction has emerged as an ef... ver más
Revista: Applied Sciences

 
Weijun Li, Jintong Liu, Yuxiao Gao, Xinyong Zhang and Jianlai Gu    
The task of named entity recognition (NER) is to identify entities in the text and predict their categories. In real-life scenarios, the context of the text is often complex, and there may exist nested entities within an entity. This kind of entity is ca... ver más

 
Waseem Abbas, Zuping Zhang, Muhammad Asim, Junhong Chen and Sadique Ahmad    
In the ever-expanding online fashion market, businesses in the clothing sales sector are presented with substantial growth opportunities. To utilize this potential, it is crucial to implement effective methods for accurately identifying clothing items. T... ver más
Revista: Information

 
I. de Zarzà, J. de Curtò, Gemma Roig and Carlos T. Calafate    
In today?s complex economic environment, individuals and households alike grapple with the challenge of financial planning. This paper introduces novel methodologies for both individual and cooperative (household) financial budgeting. We firstly propose ... ver más
Revista: AI