The Effect of Service Physical Environment in the Selection of a Company

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
N	Valid	30	30	30	30	30	30
N	Missing	0	0	0	0	0	0

Frequency Table

Gender
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	F	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
Valid	Below 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
Valid	Below 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
Valid	Business	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
Valid	LabaidHospital	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
Valid	FnF 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	Total
a_Location	less important	Count	2	1	3
		% within Gender	20.0%	5.0%	10.0%
		% of Total	6.7%	3.3%	10.0%
	neutral	Count	2	4	6
		% within Gender	20.0%	20.0%	20.0%
		% of Total	6.7%	13.3%	20.0%
	important	Count	0	7	7
		% within Gender	.0%	35.0%	23.3%
		% of Total	.0%	23.3%	23.3%
	very important	Count	6	8	14
		% within Gender	60.0%	40.0%	46.7%
		% of Total	20.0%	26.7%	46.7%
Total		Count	10	20	30
		% within Gender	100.0%	100.0%	100.0%
		% of Total	33.3%	66.7%	100.0%

Crosstab
			Gender		Total
			F	M	Total
c_Privacy	less important	Count	0	1	1
		% within Gender	.0%	5.3%	3.4%
		% of Total	.0%	3.4%	3.4%
	neutral	Count	2	3	5
		% within Gender	20.0%	15.8%	17.2%
		% of Total	6.9%	10.3%	17.2%
	important	Count	4	4	8
		% within Gender	40.0%	21.1%	27.6%
		% of Total	13.8%	13.8%	27.6%
	very important	Count	4	11	15
		% within Gender	40.0%	57.9%	51.7%
		% of Total	13.8%	37.9%	51.7%
Total		Count	10	19	29
		% within Gender	100.0%	100.0%	100.0%
		% of Total	34.5%	65.5%	100.0%

Crosstab
			Gender		Total
			F	M	Total
f_Medical_Equipments	less important	Count	1	0	1
		% within Gender	10.0%	.0%	3.3%
		% of Total	3.3%	.0%	3.3%
	neutral	Count	0	2	2
		% within Gender	.0%	10.0%	6.7%
		% of Total	.0%	6.7%	6.7%
	important	Count	3	5	8
		% within Gender	30.0%	25.0%	26.7%
		% of Total	10.0%	16.7%	26.7%
	very important	Count	6	13	19
		% within Gender	60.0%	65.0%	63.3%
		% of Total	20.0%	43.3%	63.3%
Total		Count	10	20	30
		% within Gender	100.0%	100.0%	100.0%
		% of Total	33.3%	66.7%	100.0%

Crosstab
			Gender		Total
			F	M	Total
g_Building_exterior	less important	Count	1	0	1
		% within Gender	10.0%	.0%	3.3%
		% of Total	3.3%	.0%	3.3%
	neutral	Count	3	3	6
		% within Gender	30.0%	15.0%	20.0%
		% of Total	10.0%	10.0%	20.0%
	important	Count	4	10	14
		% within Gender	40.0%	50.0%	46.7%
		% of Total	13.3%	33.3%	46.7%
	very important	Count	2	7	9
		% within Gender	20.0%	35.0%	30.0%
		% of Total	6.7%	23.3%	30.0%
Total		Count	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	Total
h_Parking	not important	Count	0	2	2
		% within Gender	.0%	10.0%	6.7%
		% of Total	.0%	6.7%	6.7%
	less important	Count	3	2	5
		% within Gender	30.0%	10.0%	16.7%
		% of Total	10.0%	6.7%	16.7%
	neutral	Count	2	4	6
		% within Gender	20.0%	20.0%	20.0%
		% of Total	6.7%	13.3%	20.0%
	important	Count	3	4	7
		% within Gender	30.0%	20.0%	23.3%
		% of Total	10.0%	13.3%	23.3%
	very important	Count	2	8	10
		% within Gender	20.0%	40.0%	33.3%
		% of Total	6.7%	26.7%	33.3%
Total		Count	10	20	30
		% within Gender	100.0%	100.0%	100.0%
		% of Total	33.3%	66.7%	100.0%

Crosstab
			Gender		Total
			F	M	Total
a_Employees uniform	not important	Count	1	2	3
		% within Gender	10.0%	10.0%	10.0%
		% of Total	3.3%	6.7%	10.0%
	less important	Count	1	1	2
		% within Gender	10.0%	5.0%	6.7%
		% of Total	3.3%	3.3%	6.7%
	neutral	Count	1	4	5
		% within Gender	10.0%	20.0%	16.7%
		% of Total	3.3%	13.3%	16.7%
	important	Count	4	5	9
		% within Gender	40.0%	25.0%	30.0%
		% of Total	13.3%	16.7%	30.0%
	very important	Count	3	8	11
		% within Gender	30.0%	40.0%	36.7%
		% of Total	10.0%	26.7%	36.7%
Total		Count	10	20	30
		% within Gender	100.0%	100.0%	100.0%
		% of Total	33.3%	66.7%	100.0%

Crosstab
			Gender		Total
			F	M	Total
b_Reports_stationary_food	not important	Count	1	1	2
		% within Gender	10.0%	5.0%	6.7%
		% of Total	3.3%	3.3%	6.7%
	neutral	Count	2	0	2
		% within Gender	20.0%	.0%	6.7%
		% of Total	6.7%	.0%	6.7%
	important	Count	2	4	6
		% within Gender	20.0%	20.0%	20.0%
		% of Total	6.7%	13.3%	20.0%
	very important	Count	5	15	20
		% within Gender	50.0%	75.0%	66.7%
		% of Total	16.7%	50.0%	66.7%
Total		Count	10	20	30
		% within Gender	100.0%	100.0%	100.0%
		% of Total	33.3%	66.7%	100.0%

Crosstab
			Gender		Total
			F	M	Total
d_Signs_exit_entran_parking	less important	Count	1	1	2
		% within Gender	10.0%	5.0%	6.7%
		% of Total	3.3%	3.3%	6.7%
	neutral	Count	6	3	9
		% within Gender	60.0%	15.0%	30.0%
		% of Total	20.0%	10.0%	30.0%
	important	Count	0	9	9
		% within Gender	.0%	45.0%	30.0%
		% of Total	.0%	30.0%	30.0%
	very important	Count	3	7	10
		% within Gender	30.0%	35.0%	33.3%
		% of Total	10.0%	23.3%	33.3%
Total		Count	10	20	30
		% within Gender	100.0%	100.0%	100.0%
		% of Total	33.3%	66.7%	100.0%

Crosstab
			Gender		Total
			F	M	Total
i_Patient_care_room	less important	Count	1	0	1
		% within Gender	10.0%	.0%	3.4%
		% of Total	3.4%	.0%	3.4%
	neutral	Count	2	1	3
		% within Gender	20.0%	5.3%	10.3%
		% of Total	6.9%	3.4%	10.3%
	important	Count	3	4	7
		% within Gender	30.0%	21.1%	24.1%
		% of Total	10.3%	13.8%	24.1%
	very important	Count	4	14	18
		% within Gender	40.0%	73.7%	62.1%
		% of Total	13.8%	48.3%	62.1%
Total		Count	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.