INFLUENCE OF MEDIA PRODUCTION ON CUSTOMERS PURCHASE :IMPRESS TELEFILM PRIVATE LTD.
1.1 Introduction
The role of media production houses in Bangladesh is very important in the field of entertainment, social and cultural perspectives, creative works, building awareness, and employment for the artists, professionals and technical experts. Several media production houses have already been established in Bangladesh to serve those fields mentioned above.
Impress Telefilm is one of the leading media production house in Bangladesh engaged in a wide range of activities including production of films, Drama & Drama serials, Music videos, Magazine Program, Musical Program, Documentaries and TV commercials. It also provides full professional & technical support to interested parties and individuals for production of short films, Drama serials, Commercials, Musical Program, Documentaries etc.
So, Impress Telefilm has a great scope to make the world class audio, video productions, to make the artists popular across the country and worldwide and to provide the professionals and technical experts the highly developed technology to enhance their creativity. But to make those things happen they must assure their desired level of business which largely depends on the customer’s purchase decision to purchase the media productions of the company. They must examine those factors that are directly related to customer’s purchase decision towards the productions of “Impress Telefilm” to run the business.
1.2 Background of The Study
Now a day’s customer wants different kinds of entertainment elements including films and drama. Hence according to the demand of the customer, media production houses are growing rapidly. As electronic media is the largest source of entertainment people mostly prefer it for entertainment purpose. Their expectations and needs are driven through technology, creativity, innovation and many more things. Customers want assurance that the product of the production houses will satisfy them through their variety of productions. “Impress Telefilm Ltd” as a media production house is needs to provide this assurance, more importantly need to ensure customer’s desire on media productions to influence their purchase decision. Without this, survival in a competitive market would not be possible. For that purpose they need to play an important role at promotional campaign, distribution system, ensure production quality and variety of the production. The uses of these terms are prevalent for the assurance of quality production which will be maintained through end user. Impress Telefilm Ltd is promised to serve their customers by providing those factors as it declares itself as a “Quality Production House”.
1.3 Problem Definition
The intrinsic and the extrinsic cues of product have great Influence on customer’s purchase decisions. So a media production house must consider that whether they are determining those factors related to their product to fulfill customer’s demand. “Impress Telefilm Ltd” as a well established media production house must determine that whether they are being able to fulfilling those factors with their current operations. They must measure those factors that can influence customer’s purchase decision towards the product of the company to ensure desired level of business. Following those factors I have decided to do my research project on the “Factors influencing customer’s purchase decision towards the media productions of “Impress Telefilm Ltd”.
Objectives of the research:
2.1 Broad objective:
The broad objective of research is to find out the most important factors on which the customer’s purchase decision about media productions is highly dependent and determining their relationship.
2.2 Specific objectives:
- To determine the necessity of promotional campaign on the customer’s purchase decision.
- To determine the assurance of proper distribution system to influence customer’s purchase decision.
- To determine the distinct quality as an important factor to influence customer’s purchase decision.
- To determine the variety in production as an important factor to influence customer’s purchase decision.
- Finally, to determine the relationship of those factors with the customer’s purchase decision.
2.3 Research Questions
- To determine whether any further extensive promotional campaign should be conducted to influence the customer’s purchase decision.
- To determine whether distribution system is working properly to influence the customer’s purchase decision towards media production of Impress Telefilm.
- To determine whether the quality of the production is helping Impress Telefilm” to influence the customers purchase decision.
- To determine whether variety in production can help the company to influence the customers purchase decision.
- Finally, overall customer’s purchase decision that will ultimately enhance the business of Impress Telefilm.
2.4 Hypotheses
Based on the Research Question, I have developed following hypothesis,
H1: Extensive promotional campaign is required to gradually influence customer’s purchase decision towards media production of “Impress Telefilm”.
H2: Distribution system is working at a satisfactory level to drive the customers to purchase the products of “Impress Telefilm.
H3: Distinct quality of the production is helping “Impress Telefilm” to influence customers to purchase their product.
H4: “Impress Telefilm” can influence customer’s purchase decision through increasing product variety.
RESEARCH DESIGN:
The type of design that we used in this research is called causal research design. Because we tried to find out the important factors that have substantial influence on the customers purchase decision of media productions and their relationship. Data analysis will be quantitative and my findings will help the production house “Impress Telefilm” in making their decisions.
3.1 Questionnaire Design
- A formal and several informal discussions were held to get some insights regarding the problems we had dealt with.
- After having the couple of discussions with industry experts as well as with focused group we came out with the four factors which helped me to complete this research paper.
- A Questionnaire consists of thirty questions are developed to conduct this research.
- The questionnaire consists of six Dichotomous questions and twenty four questions were set using “Likert scale”.
- A Likert scale was used to question the respondents on the five point scale. The respondents were asked to rate on the scale between Strongl Agree and Strongly Disagree.
3.2 Sample Selection
To select the sample we have used non-probabilistic sampling method and which is convenient sample. A sample size of 40 students is used to conduct the research. The respondents of the sample were mainly the students of East West University as it is easy for me to collect data from the campus. Though there are some criticisms about the use of student as respondent of any sample but many of the researchers used student as sample.
3.4 Validity
Since this research had limitations in terms of time and scope my research is limited to the reliability. As a result less attention was given to validity.
3.5 Measurement of the variables
A total of 23 items were constructed to get the data on five variables where four were independent and the remaining was dependent. Reliability and internal consistency of the multi item scales for each of the constructs were measured using Cronbach Coefficient Alpha. Based on the assessment a total of 24 items measuring the constructs were finally retained for final use. Coefficient alpha values were computed for each construct separately which ranged from point 0.0286 to 0.8364.
| Dimensions | No. of Items | Alpha(?) values | |
| Promotion | 5 | .7336 | |
| Distribution | 4 | .0286 | |
| Quality | 5 | .6284 | |
| Variety | 6 | .5375 | |
| Purchase decision | 3 | .8364 | |
DATA ANALYSIS:
Analysis Technique
First of all, we found the frequency distribution of the six dichotomous questions. Then we can determine the reliability test to find out the correlation ship among the questions to find out the consistency. we was able to maintain to keep all the questions. Then mean were identified for all the independent variables which were, Promotion, Distribution, Quality and Variety and one dependent variable which was Purchase decision. At the end of my analysis we came up with the regression analysis and we used linear regression for my analysis.
RESULTS AND FINDINGS:
Question 01: Dear respondent are you became familiar with the movies and dramas produced by some newly production house in Bangladesh?
Findings: From the respondents100% familiar.
Interpretation: All the respondents are familiar with the name of Impress Telefilm.
Question 02: Do you enjoy the movies/dramas that are made by some newly alternative production house?
Findings: 52% of respondents usually enjoy movies/dramas that are made by some newly alternative production house.
Interpretation: There is a variation of the respondents regarding enjoying movies/dramas that are made by some newly alternative production house.
Question 03: Are you familiar with the name of “Impress Telefilm”.
Findings: 100% respondents are familiar with the name of “Impress Telefilm”.
Interpretation: All of the respondents are familiar with “Impress Telefilm”.
Question 04: Do you usually watch the movies/dramas of “Impress Telefilm?
Findings: 70% of the respondents usually watch the movies/dramas of “Impress Telefilm”.
Interpretation: Most of the respondents usually watch the the movies/dramas of “Impress Telefilm”.
Question 05: What is your age?
Findings: From the respondents 52% are of the age of 20-25, 38% are of the age of 25-30 and 10% are of the age of 30-35.
Interpretation: Most of my respondents fall in the range of 20-25, then second most respondents fall in the range of 25-30 and only a few respondents fall in the range of 30-35.
Question 06: What is your gender?
Findings: 65% of the respondents are male and 35% of the respondents are female.
Interpretation: Both the male and female are participated in the research.
Question 07: Next time when I will buy a DVD, I will …………..
Findings: 42% of the respondents definitely buy, 40% of the respondents may be buying, and 18% of the respondents definitely will not buy a DVD of “Impress Telefilm”.
Interpretation: There is a mixed perception towards buying of DVD of “Impress Telefilm.”
Findings of Research
In this section hypothesis based on the four factors that influence sales of Impress Telefilm are being analyzed.
5.1 Hypothesis Testing
H1: Extensive promotional campaign is required to gradually influence customer’s purchase decision towards media production of “Impress Telefilm”.
| Independent Variable | Standardized Regression
Coefficient (b) |
t- value | p-value |
| Promotion | .386 | 2.531 | .016 |
From the above table, the p-value (1-tailed) for the test is 0.016. Since the p-value is smaller than the ?-value (i.e. 0.05), H1 is accepted. That means further promotional campaign is required to gradually influence customer’s purchase decision towards media production of “Impress Telefilm”.
H2: Distribution system is working at a satisfactory level to drive the customers to purchase the products of “Impress Telefilm.
| Independent Variable | Standardized Regression
Coefficient (b) |
t- value | p-value |
| Distribution | -.048 | -.288 | 0.775 |
From the above table, the p-value (1-tailed) for the test is 0.775. Since the p-value is greater than the ?-value (i.e. 0.05), H2 is rejected.
H3: Distinct quality of the production is helping “Impress Telefilm” to influence customers to purchase their product.
| Independent Variable | Standardized Regression
Coefficient (b) |
t- value | p-value |
| Quality | 0.253 | 1.515 | 0.139 |
From the above table, the p-value (1-tailed) for the test is 0.139. Since the p-value is greater than the ?-value (i.e. 0.05), H3 is rejected.
H4: “Impress Telefilm” can influence customer’s purchase decision through increasing product variety.
| Independent Variable | Standardized Regression
Coefficient (b) |
t- value | p-value |
| Variety | .088 | .591 | .558 |
From the above table, the p-value (1-tailed) for the test is 0.558. Since the p-value is greater than the ?-value (i.e. 0.05), H4 is rejected.
5.2 Regression Analysis
Model Summary
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Change Statistics | ||||
| R Square Change | F Change | df1 | df2 | Sig. F Change | |||||
| 1 | .503(a) | .253 | .167 | .52905 | .253 | 2.961 | 4 | 35 | .033 |
Ø From the regression analysis, I have found that the Value of R Square is .253 or 25.3%.
Ø That means independent variable (Promotion, Distribution, Quality, Program Variety) has 25.3% impact over the dependent variable (Customer’s purchase decision about media productions).
Ø In other words, the dependent variable (Customer’s purchase decision) can be influenced 25.3% by the independent variable (promotion, distribution, quality, production Variety).
5.3 Findings
Ø In this study of regression model analysis I tried to find out some of the important factors which influence customer’s purchase decision towards the media production of “Impress Telefilm”.
Ø The four factors Promotion, Distribution, Quality and Production variety which influence the customer’s purchase decision towards Impress Telefim.
Ø The Result indicates that the adequate level of Distribution facility, Quality and Production Variety have a great scope to positively influence the customer’s purchase decision towards the media production of “Impress Telefilm”.
Ø But according to my analysis, I found that further promotional campaign is required to influence customer’s purchase decision towards media production of “Impress Telefilm” cause the extent of existing promotions are not good enough..
CONCLUSION & RECOMMENDATION
In this report customer’s purchase decision towards the media productions were tested using some independent variables. Through this report we tried to measure the effect of promotion, distribution, distinct quality and production verity on the customer’s purchase decision of media productions. However, the development in the distribution channel, distinct quality and production verity can positively influence the customer’s purchase decision. But a contradictory result occurred in the case of promotional campaign requirement and the independent variable that is promotion, distribution, distinct quality, production variety has only 25.3% impact over the dependent variable that is customer’s purchase decision about media productions. The reason might be many other factors may have influence on customer’s purchase decision about media productions of “Impress Telefilm”. We would recommend any further exploratory or conclusive research to have better idea or adequate information on which we can make much better decisions for the production house.
BIBLIOGRAPHY
Ø Marketing Research, Naresh K Malhotra, 5th Edition,
Ø Generalizability of Perceived Quality Measures
Ø Statistical Techniques in Business and Economics. Lind Douglas A., William G. Marchal, Samuel A. Wathen. 11th edition.
Ø Annual Report of Impress Telefilm Ltd
Ø Website of Impress Telefilm Ltd.
Ø A Study of Audience from Bangladesh Television.
APPENDIX
Test of Research
Frequency Table of Question 1
Familiar with the movies and dramas produced by some newly production house in Bangladesh
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | Yes | 40 | 100.0 | 100.0 | 100.0 |
Frequency Table of Question 2
Do you enjoy the movies/dramas that are made by some newly alternative production house?
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | No | 19 | 47.5 | 47.5 | 47.5 |
| Yes | 21 | 52.5 | 52.5 | 100.0 | |
| Total | 40 | 100.0 | 100.0 | ||
Frequency Table of Question 3
Are you familiar with the name of “Impress Telefilm”.
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | Yes | 40 | 100.0 | 100.0 | 100.0 |
Frequency Table of Question 4
Do you usually watch the movies/dramas of “Impress Telefilm”.
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | No | 12 | 30.0 | 30.0 | 30.0 |
| Yes | 28 | 70.0 | 70.0 | 100.0 | |
| Total | 40 | 100.0 | 100.0 | ||
Frequency Table of Question 28
What is your age?
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | 20-25 | 21 | 52.5 | 52.5 | 52.5 |
| 25-30 | 15 | 37.5 | 37.5 | 90.0 | |
| 30-35 | 4 | 10.0 | 10.0 | 100.0 | |
| Total | 40 | 100.0 | 100.0 | ||
Frequency Table of Question 29
Gender
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | Male | 26 | 65.0 | 65.0 | 65.0 |
| Female | 14 | 35.0 | 35.0 | 100.0 | |
| Total | 40 | 100.0 | 100.0 | ||
Frequency Table of Question 30
Next time when I will buy a DVD, I will …………..
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | Definitely buy Of the DVD of “Impress Telefilm” | 17 | 42.5 | 42.5 | 42.5 |
| May buy the DVD of “Impress Telefilm”. | 16 | 40.0 | 40.0 | 82.5 | |
| Definitely not buy the DVD of “Impress Telefilm”. | 7 | 17.5 | 17.5 | 100.0 | |
| Total | 40 | 100.0 | 100.0 | ||
Test of Research
Reliability (Promotion)
****** Method 1 (space saver) will be used for this analysis ******
R E L I A B I L I T Y A N A L Y S I S – S C A L E (A L P H A)
Mean Std Dev Cases
1. PROM_5 3.6500 .7696 40.0
2. PROM_6 3.7750 .7334 40.0
3. PROM_7 3.5000 .9058 40.0
4. PROM_8 4.0250 .8002 40.0
5. PROM_9 3.3750 1.0300 40.0
Item-total Statistics
Scale Scale Corrected
Mean Variance Item- Alpha
if Item if Item Total if Item
Deleted Deleted Correlation Deleted
PROM_5 14.6750 6.7378 .3780 .7279
PROM_6 14.5500 6.5615 .4634 .7005
PROM_7 14.8250 6.1994 .4036 .7244
PROM_8 14.3000 5.6513 .6699 .6228
PROM_9 14.9500 5.0231 .5970 .6456
Reliability Coefficients
N of Cases = 40.0 N of Items = 5
Alpha = .7336
Reliability (Distribution)
****** Method 1 (space saver) will be used for this analysis ******
_
R E L I A B I L I T Y A N A L Y S I S – S C A L E (A L P H A)
Mean Std Dev Cases
1. DISTR_10 3.4000 1.0077 40.0
2. DISTR_11 3.3000 .9115 40.0
3. DISTR_12 3.9500 1.0365 40.0
4. DISTR_13 3.5000 .9058 40.0
Item-total Statistics
Scale Scale Corrected
Mean Variance Item- Alpha
if Item if Item Total if Item
Deleted Deleted Correlation Deleted
DISTR_10 10.7500 2.3462 .1495 -.2426
DISTR_11 10.8500 3.7718 -.2202 .3426
DISTR_12 10.2000 2.8821 -.0379 .1121
DISTR_13 10.6500 2.3872 .2199 -.3351
Reliability Coefficients
N of Cases = 40.0 N of Items = 4
Alpha = .0286
Reliability (Quality)
****** Method 1 (space saver) will be used for this analysis ******
_
R E L I A B I L I T Y A N A L Y S I S – S C A L E (A L P H A)
Mean Std Dev Cases
1. QUAL_14 3.2500 .8987 40.0
2. QUAL_15 3.9250 .8286 40.0
3. QUAL_16 3.6250 .8066 40.0
4. QUAL_17 3.5500 .8756 40.0
5. QUAL_18 3.7500 .8086 40.0
Item-total Statistics
Scale Scale Corrected
Mean Variance Item- Alpha
if Item if Item Total if Item
Deleted Deleted Correlation Deleted
QUAL_14 14.8500 5.2590 .2675 .6342
QUAL_15 14.1750 5.1224 .3627 .5840
QUAL_16 14.4750 4.7173 .5141 .5095
QUAL_17 14.5500 4.8179 .4122 .5588
QUAL_18 14.3500 5.1564 .3701 .5805
Reliability Coefficients
N of Cases = 40.0 N of Items = 5
Alpha = .6284
Reliability (Variety)
****** Method 1 (space saver) will be used for this analysis ******
R E L I A B I L I T Y A N A L Y S I S – S C A L E (A L P H A)
Mean Std Dev Cases
1. VARI_19 3.7500 .7763 40.0
2. VARI_20 3.7500 .6304 40.0
3. VARI_21 3.3000 .9661 40.0
4. VARI_22 2.8750 .8530 40.0
5. VARI_23 2.8500 .8336 40.0
6. VARI_24 2.7000 .9661 40.0
Item-total Statistics
Scale Scale Corrected
Mean Variance Item- Alpha
if Item if Item Total if Item
Deleted Deleted Correlation Deleted
VARI_19 15.4750 6.7173 .1115 .5640
VARI_20 15.4750 7.3327 .0113 .5866
VARI_21 15.9250 5.4045 .3185 .4738
VARI_22 16.3500 5.0026 .5342 .3601
VARI_23 16.3750 5.2660 .4725 .3968
VARI_24 16.5250 5.6404 .2604 .5063
Reliability Coefficients
N of Cases = 40.0 N of Items = 6
Alpha = .5375
Reliability (Purchase Decision)
****** Method 1 (space saver) will be used for this analysis ******
_
R E L I A B I L I T Y A N A L Y S I S – S C A L E (A L P H A)
Mean Std Dev Cases
1. PERCEP_1 3.6000 .6718 40.0
2. PERCP_2 3.7500 .6304 40.0
3. PERCEP_3 3.6500 .6998 40.0
Item-total Statistics
Scale Scale Corrected
Mean Variance Item- Alpha
if Item if Item Total if Item
Deleted Deleted Correlation Deleted
PERCEP_1 7.4000 1.5795 .5892 .8766
PERCP_2 7.2500 1.3718 .8508 .6280
PERCEP_3 7.3500 1.4128 .6751 .7985
Reliability Coefficients
N of Cases = 40.0 N of Items = 3
Alpha = .8364
Regression
Descriptive Statistics
| Mean | Std. Deviation | N | |
| PURCH | 3.67 | .580 | 40 |
| PROM | 3.67 | .595 | 40 |
| DISTR | 3.54 | .489 | 40 |
| QUALI | 3.62 | .536 | 40 |
| VARIE | 3.20 | .465 | 40 |
Correlations
| PURCH | PROM | DISTR | QUALI | VARIE | ||
| Pearson Correlation | PURCH | 1.000 | .431 | .181 | .325 | .148 |
| PROM | .431 | 1.000 | .269 | .208 | .065 | |
| DISTR | .181 | .269 | 1.000 | .462 | .097 | |
| QUALI | .325 | .208 | .462 | 1.000 | .158 | |
| VARIE | .148 | .065 | .097 | .158 | 1.000 | |
| Sig. (1-tailed) | PURCH | . | .003 | .132 | .020 | .181 |
| PROM | .003 | . | .046 | .098 | .345 | |
| DISTR | .132 | .046 | . | .001 | .275 | |
| QUALI | .020 | .098 | .001 | . | .164 | |
| VARIE | .181 | .345 | .275 | .164 | . | |
| N | PURCH | 40 | 40 | 40 | 40 | 40 |
| PROM | 40 | 40 | 40 | 40 | 40 | |
| DISTR | 40 | 40 | 40 | 40 | 40 | |
| QUALI | 40 | 40 | 40 | 40 | 40 | |
| VARIE | 40 | 40 | 40 | 40 | 40 |
Descriptive Statistics
| Mean | Std. Deviation | N | |
| PURCH | 3.67 | .580 | 40 |
| PROM | 3.67 | .595 | 40 |
| DISTR | 3.54 | .489 | 40 |
| QUALI | 3.62 | .536 | 40 |
| VARIE | 3.20 | .465 | 40 |
Variables Entered/Removed(b)
| Model | Variables Entered | Variables Removed | Method |
| 1 | VARIE, PROM, QUALI, DISTR(a) | . | Enter |
a All requested variables entered.
b Dependent Variable: PURCH
Model Summary
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Change Statistics | ||||
| R Square Change | F Change | df1 | df2 | Sig. F Change | |||||
| 1 | .503(a) | .253 | .167 | .529 | .253 | 2.961 | 4 | 35 | .033 |
a Predictors: (Constant), VARIE, PROM, QUALI, DISTR
ANOVA(b)
| Model | Sum of Squares | df | Mean Square | F | Sig. | |
| 1 | Regression | 3.315 | 4 | .829 | 2.961 | .033(a) |
| Residual | 9.796 | 35 | .280 | |||
| Total | 13.111 | 39 |
a Predictors: (Constant), VARIE, PROM, QUALI, DISTR
b Dependent Variable: PURCH
Coefficients(a)
| Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | 95% Confidence Interval for B | |||
| B | Std. Error | Beta | Lower Bound | Upper Bound | ||||
| 1 | (Constant) | 1.291 | .908 | 1.422 | .164 | -.552 | 3.134 | |
| PROM | .380 | .149 | .390 | 2.547 | .015 | .077 | .683 | |
| DISTR | -.053 | .200 | -.045 | -.265 | .793 | -.460 | .353 | |
| QUAL | .280 | .181 | .259 | 1.543 | .132 | -.088 | .648 | |
| VARIE | .051 | .166 | .045 | .306 | .761 | -.285 | .387 | |
a Dependent Variable: PURCH
Coefficient Correlations(a)
| Model | VARIE | PROM | QUALI | DISTR | ||
| 1 | Correlations | VARIE | 1.000 | -.028 | -.125 | -.021 |
| PROM | -.028 | 1.000 | -.094 | -.199 | ||
| QUALI | -.125 | -.094 | 1.000 | -.425 | ||
| DISTR | -.021 | -.199 | -.425 | 1.000 | ||
| Covariances | VARIE | .034 | -.001 | -.004 | -.001 | |
| PROM | -.001 | .022 | -.003 | -.006 | ||
| QUALI | -.004 | -.003 | .033 | -.015 | ||
| DISTR | -.001 | -.006 | -.015 | .040 |
a Dependent Variable: PURCH
Collinearity Diagnostics(a)
| Model | Dimension | Eigenvalue | Condition Index | Variance Proportions | ||||
| (Constant) | PROM | DISTR | QUALI | VARIE | ||||
| 1 | 1 | 4.943 | 1.000 | .00 | .00 | .00 | .00 | .00 |
| 2 | .021 | 15.193 | .00 | .51 | .01 | .00 | .46 | |
| 3 | .019 | 16.276 | .00 | .34 | .14 | .30 | .19 | |
| 4 | .010 | 21.780 | .01 | .05 | .68 | .68 | .00 | |
| 5 | .007 | 27.463 | .98 | .10 | .17 | .02 | .35 | |
a Dependent Variable: PURCH