The document reports on a research study conducted to assess employee satisfaction with a new hotel guest relationship management software system called HGRM. The study used statistical analysis methods like descriptive statistics, independent sample tests, ANOVA, correlation analysis, and regression on survey data from hotel employees. Key findings included that education level significantly impacts emotional satisfaction with the software but not technical aspects, satisfaction levels are linked to time spent at the company, and younger employees under 40 are more willing to use new technology. The overall conclusion is that while stress levels did not change after implementing HGRM, the study provides insights into how user attributes like gender, age, and education relate to satisfaction with different aspects of the software.

1.  
Happy Guest Relationship
Management System
Lugano Dante Hotel

2. Executive Summary:
The research and the report was done to develop
completely integrated data collection to meet specific
business process needs, that is to find out the level
of employees satisfaction, taking into consideration
emotional technical and service attributes. Using
different statistical means of investigation, in the
given survey the data analyses was made and some
recommendations about the actions which
management should undertake were developed.

3.  The objective of the research is
- To find out considering emotional, service,
behavioral and technical attributes the
possible problems and difficulties with
HGRM software usage by our imployees, to
be able to decide in the future which actions
should be undertaken by management of
the hotel.

4. The survey is divived into three section. Each of
them has a specific aim:
1.GENERAL PERCEPTION SECTION includes: Service related
attributes, Emotional attributes and Technical attributes;
2.FUTURE USAGE: The opinion of the employees about the
willingness of usage of HGRM in the future (behavioral
Intention Section)
3.The last part of the survey is dedicated to the demographic
variables, the level of education and age, time in the company,
gender and position in the company.

5.  Independant Sample test: Level of education VS emotional
satisfaction, level of education vs technichal aspect, level of
satisfaction vs time spent in the company
 Descriptive statistics : to describe all potential users of new
HGRM system
 Correlation
 ANOVA : to compare the result of general satisfaction with
different education level, Anova post hoc function to
compare emotional satisfaction versus emotional level,

6. Descriptive analysisDescriptive analysis

7. Descriptive StatisticsDescriptive Statistics

8. Service VS Gender DescriptiveService VS Gender Descriptive

9. Emotional Satisfaction vs Level of EducationEmotional Satisfaction vs Level of Education

11. On the contrary
If the level of education affects the emotional satisfaction
It doesn’t affect the technical aspect …

12. The level of satisfaction is linked with the time spent in
the company

13. Anova Post Hoc functionAnova Post Hoc function

14. Age VS Emotional SatisfactionAge VS Emotional Satisfaction

15. Age vs TechnicalAge vs Technical

17. Correlation analysesCorrelation analyses

18. Gender vs technical satisfaction

19. Gender VS Emotional Satisfaction

20. Regression

21. Regression Age and Education Vs Service

22. Conclusion
Having made our research project the following conclusions can be made
we have used linker scale to measure emotional level of satisfaction of our employees,
and found out that in average the stress level at work was the same as before.
The male users of HGRM system like the service and technical attributes then female
users
The level of education influences significantly on the perception of HGRM System
The influence of age on emotional satisfaction and stress is not significant.
The influence of age on the technical part of the program is significant.
But the service part changes significantly in regarding the age.
As the result of our investigation we have seen that people younger then 40 years are
more willing to use technology at work.
The most significant difference was noticed between education and emotional
satisfaction.
Emotional satisfaction does not depend on the position occupied by the person in the
company