Murano Restaurant: A Business Decision Making Analysis Report

This report provides an analysis of business decision-making related to Murano Restaurant, employing thematic analysis across five themes: age group of respondents, frequency of restaurant visits, most attractive food items, food order service preferences, and overall restaurant experience ratings. The analysis incorporates visualizations such as bar graphs to represent the distribution of responses within each theme. Additionally, trend lines are used to forecast information about the business, specifically focusing on cuisine preferences. A Gantt chart is included, although its specific application within the analysis is not detailed. The report references academic sources to support its methodology and findings, providing a comprehensive overview of factors influencing business decisions for Murano Restaurant.

Business Decision Making

Contents to be added
Thematic analysis:
Theme 1: Age group of respondents
Theme 2: Frequency to visit the restaurant
Theme 3: Food which is attracted at most
Theme 4: Food order service
Theme 5: Rating on restaurant's experience
 Trend lines forecast the information about Murano
restaurant
 Gantt Chart


Theme 1: Age group of
respondents
0
5
10
15
20
25
30
Age group of people
(a) 10-20
(b) 20-30
(c) 30-40
(d) above 40

Theme 2: Frequency to visit
the restaurant
0 5 10 15 20 25 30 35 40
Restaurant visitor
(b) no
(a) yes

Theme 3: Food which is
attracted at most
0
5
10
15
20
25
Favourate food
(a) Chinese food
(b) Thai food
(c) Japaneses food
(d) Italian food

Theme 4: Food order service
0
5
10
15
20
25
30
Medium for ordering food
(a) direct call to restaurant
(b) online
(c) through mobile app

Theme 5: Rating on
restaurant's experience
0
2
4
6
8
10
12
14
16
Rating the restaurant experience
(a) poor
(b) neutral
(c) good
(d) excellent

Trend lines forecast the information about
specific business
(a) Chinese food (b) Thai food (c) Japaneses food (d) Italian food
0
5
10
15
20
25
f(x) = − 2.4 x + 18.5
R² = 0.309677419354839
Type of cuisine
Column B
Linear (Column B)

Gantt chart

Network diagram

Reference
Romiszowski, A. J., 2016. Designing instructional systems: Decision making in
course planning and curriculum design. Routledge.
Shouzhen and et.al., 2014. Induced intuitionistic fuzzy ordered weighted
averaging: weighted average operator and its application to business decision-
making. Computer Science and Information Systems. 11(2). pp.839-857.
Yu, P. L., 2013. Multiple-criteria decision making: concepts, techniques, and
extensions. Springer Science & Business Media.