IS428 AY2019-20T2 Assign YIP JIAN MING Staff

Overview

Data Cleaning

Undergraduate

Postgraduate

Faculty

Staff

Participant Distribution

Insights	Recommendations
For staff, most of the participants were from the study area "Others", went to the library monthly and used library resources monthly. Researchers utilized the library resources more often.	Library might want to think of ways of engaging Information Systems students. Possibly by having programming related events in the library.

Stated Preference vs Revealed Preference

Insights

Recommendations

The Butterfly chart allows us to see the preferences the different faculties have for each library. As can be seen from the chart, most faculties had a strong preference for the Li Ka Shing Library. However, when we look at the overall satisfaction of staff, KGC always did better than LKS. This shows that the stated preference is different from the staffs revealed preference. This could be possibly due to the fact that when this survey was conducted in 2018, the Kwa Geok Choo Law Library was a relatively new library and most staff would experience resistance to change. Another factor would be distancing. The KGC Law Library is relatively far from the rest of the faculties. In 2018, there was lack of a sheltered walkway to the law school and also a lack of food options, both problems have since been addressed. Another reason could be naming of the library. The inclusion of the word “Law” in the Library name might create an impression of exclusiveness.

Most of the problems have been addressed since 2018, however, there is still room for improvement in the F&B region. Possibly remove the word “Law” from the library name.

Importance

Insights

Recommendations

The likert scale for importance shows the importance of the library services. I have placed the participants overall satisfaction as a benchmark for the metrics. The library should focus efforts on solving problems with high importance yet low performance. The 3 metrics that the participants highlighted to be the most important were the questions “I can get help from the library staff when I need it”,"Library staff provide accurate answers to my inquiries" and "I can get wireless access in the Library when I need to". All of these 3 did well in terms of performance. It can be seen that faculty seem to place an importance of the human interpersonal aspect of the Library, having interaction with library staff being placed in highest importance.

Hosting an orientation program for staff around the library upon joining, with workshops designed to better equip staff especially with the online library resources.

Performance

Insights

Recommendations

The likert scale for performance shows the performance of the library services. I have placed the participants overall satisfaction as a benchmark for the metrics. The library should focus efforts on solving problems with low performance yet high importance. The 3 metrics that did the poorest for performance were for the questions “I can find a place in the Library to work in a group when I need to”,"I can find a quiet place to study in the library if I need to" and "Printing, scanning and photocopying facilities in the Library meet my needs" Participants have voted these metrics in high importance but are met with low performance. Another metric that did poorly for performance was the metric on “A computer is available when I need one. However, this metric was rated as low importance. Comparing performance with importance, this metric did relatively well. It is good that the library does not waste its resources on metrics that the users do not find important.

Create more co-working spaces in the library for students to do group activities. Enforce the keeping of silence in the library. Improve availability and stability of printing,scanning and photocopying services in the library.

Referral

Insights	Recommendations
It can be seen from the co-occurrence matrix that likelihood of referral has a correlation with overall satisfaction. Majority of the participants had a score of 6 for satisfaction and rated the likelihood of referral as 8 or 9. This who had an overall satisfaction of 7 were most likely to vote a 10 for likelihood to refer a friend.	Library might want to introduce referral programs where the referral can gain reward for referring a friend. This could both introduce new visitors to the library and increase the satisfaction of the existing library goers.

Word Cloud (Positive)

Insights	Recommendations
There is positive sentiment on words such as level, hour, printing, study and area. This is important feedback and shows that most people who are satisfied with the library have these words in common in their comments. From this we can infer that there are good printing facilities, good opening hours and great study areas.	Library should filter comments by these keywords to gain better insights as to what the comments are about.

Word Cloud (Negative)

Insights

Recommendations

There seems to be negative sentiment for words such as table, seat, space, quiet and studying. This is important feedback and shows that most people who are dissatisfied with the library have these words in common in their comments. From this we can infer that there is a lack of a quiet spaces to study. These words however, have appeared in the positive word cloud as well. This could mean that there are mixed emotions regarding study spaces.

Library should filter comments by these keywords to gain better insights as to what the comments are about.