The Effect of Service Physical Environment in the Selection of a Company
Subject: Management | Topics:

Executive Summary

This term paper conduct on the basis of hospital service, other than the doctors service, location, parking, medical equipment and as well as after getting the service on the basis of satisfactory factor like billing statement, patient care room, stationary, reports etc.

Introduction

This survey is being conducted to know the attitude toward the hospital from different point of view. Like, gender, age group, family income, occupation etc. And also people are thinking about before going into the hospital based on the some other criteria. For example, location, privacy, social condition of the hospital, medical equipment of the hospital etc.

Objective

  • Our main objective is to find out the “The effect of service scope / physical environment in the selection of hospital service”.

 Methodology

To do all these things we need much information. Therefore, we have collected this information from both primary and secondary sources.

(a)    Primary sources:

  Data collect by questionnaires those who are taken the service from different hospital in the Bangladesh.

  We using SPSS software to find out the result.

 Essential information was segregated from the source material and collected information were compiled and processed to prepare this Term Paper.

 Finding:

Our main intention is to find out the “The effect of service scope / physical environment in the selection of hospital service”.

In order to achieve this, we have find out the following findings:

Frequency:

  • Gender frequency is male 66.67% and female 33.33%.
  • The age group 20-29 is the higher frequency 60.00%
  • Family income 20,000-39,000 is 30.00% highest among the other family income range.
  • Service holder is 40.00% top of the other occupation group.
  • Others hospital frequency is 60.00% highest among the other name.
  • How were you informed about this hospital? 43.33% is top frequency of family member / friends who used the service before from this hospital

Correlation on the basis of selection of the hospital other than the doctor’s service:

    The correlation between Gender vs Location is male=26.7% of total gender and female=20.0% of total gender is very important.

    The correlation between Gender vs Privacy is male= 37.9% & female=13.8% of the total gender.

    The correlation between Gender vs Medical Equipments is male=43.3% & female=20.0% of the total gender.

    The correlation between Gender vs Building exterior is male=33.3% & female=13.3% of the total gender.

    The correlation between Gender vs Parking is male=26.27% & female=10.0% of the total gender.

Correlation on the basis of satisfactory criteria of hospital service:

  The correlation between Gender vs Employees uniform, male = 26.7% & female=13.3%.

  The correlation between Gender vs Reports/stationary/food is male = 50.0% & female=16.7%.

   The correlation between Gender vs sign, exit, entrance, parking, male = 30.0% & female=20.0%.

  The correlation between Gender vs Patient care room, male = 48.3% & female=13.8%.

  The correlation between Medical Equipments vs Family income (20,000-39,000) is = 20.0% top of the total respondent

  The correlation between Reports stationary food vs Family income (20,000-39,000) is = 23.3% top of the total respondent.

  The correlation between Reports stationary food vs Family income (20,000-39,000) is = 17.2% top of the total respondent.

  The correlation between Reports stationary food vs Family income (20,000-39,000) is = 27.6% top of the total respondent.

Table and Graph of frequency & Correlation

Statistics

  

Gender

Age

Family income

Occupation

Hospital name

How informed this Hospital

NValid

30

30

30

30

30

30

Missing

0

0

0

0

0

0

 Frequency Table

Gender

  

Frequency

Percent

Valid Percent

Cumulative Percent

ValidF

10

33.3

33.3

33.3

M

20

66.7

66.7

100.0

Total

30

100.0

100.0

 

Age

  

Frequency

Percent

Valid Percent

Cumulative Percent

ValidBelow 20

1

3.3

3.3

3.3

20-29

18

60.0

60.0

63.3

30-39

5

16.7

16.7

80.0

40-49

3

10.0

10.0

90.0

50 & above

3

10.0

10.0

100.0

Total

30

100.0

100.0

 

Family income

  

Frequency

Percent

Valid Percent

Cumulative Percent

ValidBelow 20,000

5

16.7

16.7

16.7

20,000-39,000

9

30.0

30.0

46.7

40,000-59,000

7

23.3

23.3

70.0

60,000-79,000

4

13.3

13.3

83.3

80,000 & above

5

16.7

16.7

100.0

Total

30

100.0

100.0

 

Occupation

  

Frequency

Percent

Valid Percent

Cumulative Percent

ValidBusiness

5

16.7

16.7

16.7

Service holder

11

36.7

36.7

53.3

Housewife

2

6.7

6.7

60.0

Student

12

40.0

40.0

100.0

Total

30

100.0

100.0

 

Hospital name

  

Frequency

Percent

Valid Percent

Cumulative Percent

ValidLabaidHospital

4

13.3

13.3

13.3

SquareHospital

2

6.7

6.7

20.0

United Hospital

3

10.0

10.0

30.0

ApolloHospital

3

10.0

10.0

40.0

Other

18

60.0

60.0

100.0

Total

30

100.0

100.0

 

How_informed_this_Hospital

  

Frequency

Percent

Valid Percent

Cumulative Percent

ValidFnF never used the service before from this hospital

2

6.7

6.7

6.7

Advertisements

5

16.7

16.7

23.3

FnF used the service before from this hospital

13

43.3

43.3

66.7

You didn’t have any info, just went there for treatment

8

26.7

26.7

93.3

Letter/Cards

2

6.7

6.7

100.0

Total

30

100.0

100.0

 

Crosstab

   

Gender

Total

   

F

M

a_Locationless importantCount

2

1

3

% within Gender

20.0%

5.0%

10.0%

% of Total

6.7%

3.3%

10.0%

neutralCount

2

4

6

% within Gender

20.0%

20.0%

20.0%

% of Total

6.7%

13.3%

20.0%

importantCount

0

7

7

% within Gender

.0%

35.0%

23.3%

% of Total

.0%

23.3%

23.3%

very importantCount

6

8

14

% within Gender

60.0%

40.0%

46.7%

% of Total

20.0%

26.7%

46.7%

TotalCount

10

20

30

% within Gender

100.0%

100.0%

100.0%

% of Total

33.3%

66.7%

100.0%

Crosstab

   

Gender

Total

   

F

M

c_Privacyless importantCount

0

1

1

% within Gender

.0%

5.3%

3.4%

% of Total

.0%

3.4%

3.4%

neutralCount

2

3

5

% within Gender

20.0%

15.8%

17.2%

% of Total

6.9%

10.3%

17.2%

importantCount

4

4

8

% within Gender

40.0%

21.1%

27.6%

% of Total

13.8%

13.8%

27.6%

very importantCount

4

11

15

% within Gender

40.0%

57.9%

51.7%

% of Total

13.8%

37.9%

51.7%

TotalCount

10

19

29

% within Gender

100.0%

100.0%

100.0%

% of Total

34.5%

65.5%

100.0%

Crosstab

   

Gender

Total

   

F

M

f_Medical_Equipmentsless importantCount

1

0

1

% within Gender

10.0%

.0%

3.3%

% of Total

3.3%

.0%

3.3%

neutralCount

0

2

2

% within Gender

.0%

10.0%

6.7%

% of Total

.0%

6.7%

6.7%

importantCount

3

5

8

% within Gender

30.0%

25.0%

26.7%

% of Total

10.0%

16.7%

26.7%

very importantCount

6

13

19

% within Gender

60.0%

65.0%

63.3%

% of Total

20.0%

43.3%

63.3%

TotalCount

10

20

30

% within Gender

100.0%

100.0%

100.0%

% of Total

33.3%

66.7%

100.0%

Crosstab

   

Gender

Total

   

F

M

g_Building_exteriorless importantCount

1

0

1

% within Gender

10.0%

.0%

3.3%

% of Total

3.3%

.0%

3.3%

neutralCount

3

3

6

% within Gender

30.0%

15.0%

20.0%

% of Total

10.0%

10.0%

20.0%

importantCount

4

10

14

% within Gender

40.0%

50.0%

46.7%

% of Total

13.3%

33.3%

46.7%

very importantCount

2

7

9

% within Gender

20.0%

35.0%

30.0%

% of Total

6.7%

23.3%

30.0%

TotalCount

10

20

30

% within Gender

100.0%

100.0%

100.0%

% of Total

33.3%

66.7%

100.0%

Crosstab of Gender vs Parking

   

Gender

Total

   

F

M

h_Parkingnot importantCount

0

2

2

% within Gender

.0%

10.0%

6.7%

% of Total

.0%

6.7%

6.7%

less importantCount

3

2

5

% within Gender

30.0%

10.0%

16.7%

% of Total

10.0%

6.7%

16.7%

neutralCount

2

4

6

% within Gender

20.0%

20.0%

20.0%

% of Total

6.7%

13.3%

20.0%

importantCount

3

4

7

% within Gender

30.0%

20.0%

23.3%

% of Total

10.0%

13.3%

23.3%

very importantCount

2

8

10

% within Gender

20.0%

40.0%

33.3%

% of Total

6.7%

26.7%

33.3%

TotalCount

10

20

30

% within Gender

100.0%

100.0%

100.0%

% of Total

33.3%

66.7%

100.0%

Crosstab

   

Gender

Total

   

F

M

a_Employees uniformnot importantCount

1

2

3

% within Gender

10.0%

10.0%

10.0%

% of Total

3.3%

6.7%

10.0%

less importantCount

1

1

2

% within Gender

10.0%

5.0%

6.7%

% of Total

3.3%

3.3%

6.7%

neutralCount

1

4

5

% within Gender

10.0%

20.0%

16.7%

% of Total

3.3%

13.3%

16.7%

importantCount

4

5

9

% within Gender

40.0%

25.0%

30.0%

% of Total

13.3%

16.7%

30.0%

very importantCount

3

8

11

% within Gender

30.0%

40.0%

36.7%

% of Total

10.0%

26.7%

36.7%

TotalCount

10

20

30

% within Gender

100.0%

100.0%

100.0%

% of Total

33.3%

66.7%

100.0%

Crosstab

   

Gender

Total

   

F

M

b_Reports_stationary_foodnot importantCount

1

1

2

% within Gender

10.0%

5.0%

6.7%

% of Total

3.3%

3.3%

6.7%

neutralCount

2

0

2

% within Gender

20.0%

.0%

6.7%

% of Total

6.7%

.0%

6.7%

importantCount

2

4

6

% within Gender

20.0%

20.0%

20.0%

% of Total

6.7%

13.3%

20.0%

very importantCount

5

15

20

% within Gender

50.0%

75.0%

66.7%

% of Total

16.7%

50.0%

66.7%

TotalCount

10

20

30

% within Gender

100.0%

100.0%

100.0%

% of Total

33.3%

66.7%

100.0%

Crosstab

   

Gender

Total

   

F

M

d_Signs_exit_entran_parkingless importantCount

1

1

2

% within Gender

10.0%

5.0%

6.7%

% of Total

3.3%

3.3%

6.7%

neutralCount

6

3

9

% within Gender

60.0%

15.0%

30.0%

% of Total

20.0%

10.0%

30.0%

importantCount

0

9

9

% within Gender

.0%

45.0%

30.0%

% of Total

.0%

30.0%

30.0%

very importantCount

3

7

10

% within Gender

30.0%

35.0%

33.3%

% of Total

10.0%

23.3%

33.3%

TotalCount

10

20

30

% within Gender

100.0%

100.0%

100.0%

% of Total

33.3%

66.7%

100.0%

Crosstab

   

Gender

Total

   

F

M

i_Patient_care_roomless importantCount

1

0

1

% within Gender

10.0%

.0%

3.4%

% of Total

3.4%

.0%

3.4%

neutralCount

2

1

3

% within Gender

20.0%

5.3%

10.3%

% of Total

6.9%

3.4%

10.3%

importantCount

3

4

7

% within Gender

30.0%

21.1%

24.1%

% of Total

10.3%

13.8%

24.1%

very importantCount

4

14

18

% within Gender

40.0%

73.7%

62.1%

% of Total

13.8%

48.3%

62.1%

TotalCount

10

19

29

% within Gender

100.0%

100.0%

100.0%

% of Total

34.5%

65.5%

100.0%

 Conclusion:

In this report we have find out there male respondents are more than the female respondents and Family income 20,000-39,000 range. Most of our respondents are select the Medical Equipments other than the doctors services. And on the basis of satisfactory factors most of the respondents are select the Reports/stationary/food.

So, hospital management need to focus on the above factor to improve the overall hospital service.

Dear Respondents,

A survey is being conducted to know the attitude toward the hospital from different point of view. It is just for a university work. Your honest opinion is valuable for us and will be kept confidential.

Service

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