Acceso al sitio web del Consejo de Políticas de Infraestructura

   
ARTÍCULO
TITULO

Knowledge Sharing in IT Consultant and SME Interactions

Adrian Bradshaw    
Venkateswarlu Pulakanam    
Paul Cragg    

Resumen

Many small and medium enterprises (SMEs) depend on consultants to overcome knowledge barriers, especially for IT projects. This paper aims to determine how IT consultants affect the IT knowledge of SMEs when IT consultants and SMEs interact. Data were collected using face-to-face interviews with both IT consultants and SME managers. The study is the first to identify what and how SMEs learn from consultants during an IT implementation project. Consultants help SMEs gain different types of knowledge, employing a broad range of knowledge sharing mechanisms. As consultants are an important part of the knowledge creation processes of SMEs, SMEs should strive to form long-term relationships with consultants and use these interactions to develop IT knowledge within the SME.

PÁGINAS

 Artículos similares

       
 
Hao Zhang, Anmin Zhang, Chenxu Wang, Liuyang Zhang and Shuai Liu    
Due to the absence of a comprehensive knowledge system for modeling ocean circulation, there is ambiguity and diversity in the semantic expression of ocean circulation. This makes it difficult to organize and share relevant spatiotemporal data effectivel... ver más

 
Jinyu Fang, Yuan Ni and Jian Zhang    
UGC short videos play a crucial role in sharing information and disseminating content in the era of new information technology. Accurately assessing the value of UGC short videos is highly significant for the sustainable development of self-media platfor... ver más
Revista: Applied Sciences

 
Tahir Mehmood, Alfonso E. Gerevini, Alberto Lavelli, Matteo Olivato and Ivan Serina    
Single-task models (STMs) struggle to learn sophisticated representations from a finite set of annotated data. Multitask learning approaches overcome these constraints by simultaneously training various associated tasks, thereby learning generic represen... ver más
Revista: Information

 
Ali Abbasi Tadi, Saroj Dayal, Dima Alhadidi and Noman Mohammed    
The vulnerability of machine learning models to membership inference attacks, which aim to determine whether a specific record belongs to the training dataset, is explored in this paper. Federated learning allows multiple parties to independently train a... ver más
Revista: Information

 
Jungha Son and Boyoung Kim    
The rapid global expansion of ChatGPT, which plays a crucial role in interactive knowledge sharing and translation, underscores the importance of comparative performance assessments in artificial intelligence (AI) technology. This study concentrated on t... ver más
Revista: Information