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Business Intelligence & Analytics (BI&A) Systems:Measuring End-User Computing Satisfaction (EUCS)

Papoglou, Nikolina LU and Antoniou, Georgia (2015) INFM10 20151
Department of Informatics
Abstract
Business intelligence and analytics (BI&A) have become part of almost every com- pany/organisation nowadays, as the benefits of a successful adoption are many. However, the failure scenarios are many as well, with companies/organisations facing dissatisfied employ- ees who do not use the BI&A tools because they find them difficult to use -despite the train- ings-, and others who start using them and then stop this usage. In an effort to help compa- nies/organisations who want to adopt or have adopted a BI&A solution to understand their employees, as well as BI&A vendors to understand their end-users, we conducted this study where we examined the relationships among training, system usage, EUCS and UCI. What is more, we decided to focus... (More)
Business intelligence and analytics (BI&A) have become part of almost every com- pany/organisation nowadays, as the benefits of a successful adoption are many. However, the failure scenarios are many as well, with companies/organisations facing dissatisfied employ- ees who do not use the BI&A tools because they find them difficult to use -despite the train- ings-, and others who start using them and then stop this usage. In an effort to help compa- nies/organisations who want to adopt or have adopted a BI&A solution to understand their employees, as well as BI&A vendors to understand their end-users, we conducted this study where we examined the relationships among training, system usage, EUCS and UCI. What is more, we decided to focus only to descriptive BI&A as it is the type of BI&A that is mostly adopted by companies/organisations. The data needed for the study was collected with the help of a questionnaire-based survey and four hypotheses were developed for our literature- based proposed model. Data analysis was conducted with Excel, SPSS and AMOS and all of our hypotheses were confirmed. This is a sign that companies/organisations should keep in- vesting on training in order to achieve higher levels of BI&A usage and eventually higher levels of EUCS and UCI. (Less)
Please use this url to cite or link to this publication:
author
Papoglou, Nikolina LU and Antoniou, Georgia
supervisor
organization
course
INFM10 20151
year
type
H1 - Master's Degree (One Year)
subject
report number
INF15-035
language
English
id
7365779
date added to LUP
2015-07-01 14:23:18
date last changed
2015-07-01 14:23:18
@misc{7365779,
  abstract     = {Business intelligence and analytics (BI&A) have become part of almost every com- pany/organisation nowadays, as the benefits of a successful adoption are many. However, the failure scenarios are many as well, with companies/organisations facing dissatisfied employ- ees who do not use the BI&A tools because they find them difficult to use -despite the train- ings-, and others who start using them and then stop this usage. In an effort to help compa- nies/organisations who want to adopt or have adopted a BI&A solution to understand their employees, as well as BI&A vendors to understand their end-users, we conducted this study where we examined the relationships among training, system usage, EUCS and UCI. What is more, we decided to focus only to descriptive BI&A as it is the type of BI&A that is mostly adopted by companies/organisations. The data needed for the study was collected with the help of a questionnaire-based survey and four hypotheses were developed for our literature- based proposed model. Data analysis was conducted with Excel, SPSS and AMOS and all of our hypotheses were confirmed. This is a sign that companies/organisations should keep in- vesting on training in order to achieve higher levels of BI&A usage and eventually higher levels of EUCS and UCI.},
  author       = {Papoglou, Nikolina and Antoniou, Georgia},
  language     = {eng},
  note         = {Student Paper},
  title        = {Business Intelligence & Analytics (BI&A) Systems:Measuring End-User Computing Satisfaction (EUCS)},
  year         = {2015},
}