The measurement of end-user computing satisfaction
MIS Quarterly
Self-organizing maps
The relation between user satisfaction, usage of information systems and performance
Information and Management
The measurement of user information satisfaction
Communications of the ACM
Information Systems: Foundation of E-Business
Information Systems: Foundation of E-Business
Data Analysis: How to Compare Kohonen Neural Networks to Other Techniques?
IWANN '91 Proceedings of the International Workshop on Artificial Neural Networks
Information Systems Research
Assessing the Validity of IS Success Models: An Empirical Testand Theoretical Analysis
Information Systems Research
Journal of Management Information Systems
Journal of Management Information Systems
Information Technology as an Enabler of Growth in Firms: An Empirical Assessment
Journal of Management Information Systems
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
User evaluation of information systems: by system typology
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Testing and Extending Theory in Strategic Information Systems Planning Through Literature Analysis
Information Resources Management Journal
Customer portfolio analysis using the SOM
International Journal of Business Information Systems
Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients
Expert Systems with Applications: An International Journal
Financial performance analysis of European banks using a fuzzified Self-Organizing Map
International Journal of Knowledge-based and Intelligent Engineering Systems
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The Self-Organising Map (SOM) algorithm is utilised by thousands of different applications. Despite numerous applications, user satisfaction with SOM and its information products has not been evaluated. The purpose of this study is to evaluate users' satisfaction with a SOM model which was constructed for analysing a macro-environment. The data was collected through a field survey from 13 publicly noted Finnish companies. All the respondents were responsible for business intelligence or corporate development tasks. According to the evaluation, the SOM outperformed the current methods in accuracy, content, ease of interpretation and format. However, only the factors such as ease of interpretation and format had statistically significant differences. Using the SOM algorithm for analysing macro-environment trends, I demonstrate its strong potential for analysing an environment in more general organisational settings if a large amount of data is available and the visualisation capabilities of a method are emphasised.