Redirigiendo al acceso original de articulo en 24 segundos...
ARTÍCULO
TITULO

Evaluating the Impact and Value of Competitive Intelligence From The users Perspective - The Case of the National Research Council?s Technical Intelligence Unit

Jonathan Calof    

Resumen

Understanding and being able to measure and prove the impact and value of intelligence is of significant importance. The objective of this study was to develop an evaluation instrument that the users of intelligence could fill in that could be used to assess both the impact and value of the intelligence they received. Starting with an evaluation instrument based on lists of benefits identified in the competitive intelligence literature, measures of these benefits and client satisfaction/service quality metrics, the study researchers interviewed clients of one large government competitive technical intelligence organization asking them to articulate the benefits they obtained from the intelligence they received and methods for evaluating these benefits. All users of intelligence identified benefits they had received from the intelligence received. Additional benefits beyond those that are in the current literature were identified by those interviewed. In terms of measurement of these benefits, intelligence users (the clients) understood why hard financial type measures for example ROI or dollar impact on performance was important (especially in their organization) they felt that assessing these for the intelligence they received would be difficult but that softer, more subjective measurement such as extent to which the user agrees that the intelligence provided the intended benefit could be used. Additional perceptual based indicators of service quality and customer satisfaction measures were also suggested by intelligence clients. Based onthe results of the literature review and interviews, an intelligence evaluation instrument was developed that asks the clients to assess the extent to which they have realized one or more of 27 impacts identified in this study as well as assessing 10 elements of service quality.

 Artículos similares

       
 
James C. L. Chow, Leslie Sanders and Kay Li    
Context: In cancer centres and hospitals particularly during the pandemic, there was a great demand for information, which could hardly be handled by the limited manpower available. This necessitated the development of an educational chatbot to dissemina... ver más
Revista: AI

 
Daniel S. Soper    
Training and evaluating the performance of many competing Artificial Intelligence (AI)/Machine Learning (ML) models can be very time-consuming and expensive. Furthermore, the costs associated with this hyperparameter optimization task grow exponentially ... ver más
Revista: Algorithms

 
Nádila Azevedo, Gustavo Aquino, Leonardo Nascimento, Leonardo Camelo, Thiago Figueira, Joel Oliveira, Ingrid Figueiredo, André Printes, Israel Torné and Carlos Figueiredo    
The banking industry has been employing artificial intelligence (AI) technologies to enhance the quality of its services. More recently, AI algorithms, such as natural language understanding (NLU), have been integrated into chatbots to improve banking ap... ver más
Revista: Applied Sciences

 
Laith R. Sultan, Allison Haertter, Maryam Al-Hasani, George Demiris, Theodore W. Cary, Yale Tung-Chen and Chandra M. Sehgal    
With the 2019 coronavirus disease (COVID-19) pandemic, there is an increasing demand for remote monitoring technologies to reduce patient and provider exposure. One field that has an increasing potential is teleguided ultrasound, where telemedicine and p... ver más
Revista: AI

 
Colm Brandon, Adam J. Doherty, Dervla Kelly, Desmond Leddin and Tiziana Margaria    
Cancer misinformation is becoming an increasingly complex issue. When a person or a loved one receives a diagnosis of possible cancer, that person, family and friends will try to better inform themselves in this area of healthcare. Like most people, they... ver más
Revista: Applied Sciences