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    INDIAN BUSINESS ACADEMY

    INDIA

    LIVE

    MARKET

    CONS

    SUBMITTED TO

    PROF. S K SING

    BUSINESS ACADEMY

    ROJECT REPORT ON

    URVEY ON BIG CINEM

    MER SATISFACTION

    2010

    SUBMIT

    RAJ SHEKHA

    FPG091

    Page 1

    S

    ED BY:

    SINGH

    1/037

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    ACKNOWLEDGEMENT

    My sincere thanks to Prof. S.K.Singh for guiding & advising me in the process of making the

    report. I thank him for the encouragement that he gave me while completing this project.

    I also wish to thank Mr. Kam Khansiam Ngaithe (Theater Manager) in Reliance Media

    Works Ltd., for his enthusiastic response and his interest in giving me such project.

    I thank our CEO Mr. Ritesh Jain for giving us the opportunity to explore the practical aspects of

    the subject and making themselves available for guidance

    Raj Shekhar Singh

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    INDIAN BUSINESS ACADEMY Page 3

    CONTENTS TABLE

    Description Page number

    Executive summary 4

    Big Cinemas a profile 5-6

    Research objective 7

    Research methodology 7

    Outcomes from the questionnaire 8-9

    Data representation 10-13

    Data analysis 14-19

    Based on graph Based on ANOVA Based on correlation

    Conclusion 19

    Recommendation and action plan 20

    Bibliography 21

    Annexure 22-23

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    EXECUTIVE SUMMARY

    Big cinema is one of the largest entertainment conglomerates in India. It has one multiplex in

    Ansal Plaza at Greater Noida. Though it has competitive advantage that Ansal Plaza situated in

    Greater Noida Knowledge Park, Knowledge Park is a highly student populated place and there is

    no competitor of Big cinema, yet it is not able to utilize this opportunity.

    In this report I am try to find the level of consumer satisfaction with Big cinemas service.

    I am also try to find consumer satisfaction at different step starting from ticket counter to the

    audi.

    I will compare the level of satisfaction at every step. At the end I will analysis where customers

    are not satisfied and will suggest the strategy to improve the level of service

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    BIG CINEMAS

    A PROFILE

    Big Cinemas, a division of Reliance MediaWorks Ltd and a member of Reliance ADA Group is

    Indias largest cinema chain with over 516 screens spread across India, US, Malaysia and

    Netherlands and caters to over 35 million consumers. BIG Cinemas has established leadership in

    film exhibition in India with 253 screens and accounts for 10 to 15% of box office contributions

    of large movies. BIG Cinemas has also successfully created a pan US footprint and the circuit

    accounts for 20-35% of Hindi features box office collections and over 70% of Tamil and Telegu

    box office collections from the US. In Malaysia, the company now has a strong presence of 72

    screens that plays Hollywood features besides Chinese and Tamil films to cater to the 1.5 million

    Tamil populations. The company is also working towards establishing presence in Netherlands

    and has associated with Pathe Theatres to begin screening Indian movies. BIG Cinemas is

    committed to providing audiences across India overall economic strata, access to BIG Cinemas'

    world-class cinemas. This is being achieved through a strategy of not only setting up standalone

    properties and cinemas in malls, but also taking over current properties, renovating and operating

    them, taking advantage of their considerable existing infrastructure and brand value. Over the

    years, BIG Cinemas has created iconic destinations such as BIG-Cinema Park in Agra, a

    kilometer away from the Taj Mahal, which has pioneered the multi-sensory cinema experience in

    India through a six dimensional show. BIG Cinemas has also partnered with IMAX Corporation

    to install IMAXs new world class digital projection system in BIG Cinemas flagship IMAX

    theatre in Mumbai. This new technology has marked the first digital IMAX location in India and

    enabled BIG Cinemas to take advantage of the growing slate of Hollywood releases in IMAX

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    and IMAX 3D. BIG Cinemas is thereby the only cinema in India which screens films in both

    3D and 6D formats. BIG is the only cinema chain in India, which has launched the unique

    concept of Cine Diner at its flagship property at R City Mall (Ghatkopar) Mumbai.

    BIG Cinemas has been awarded the Retailer of the Year honor at the Reid & Taylor Awards

    for Retail Excellence for 2 consecutive years and has also been awarded International Exhibitor

    of the Year 2008 by CineAsia 2008 at Macau.

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    RESEARCH OBJECTIVES

    To find out why people are not going to Big Cinemas in spite of big brand name with it.

    To increase the number of customer at Big Cinemas.

    Improvement of service to suit the customers need.

    RESEARCH METHODOLOGY

    Feedback: To collect data I have used Big Cinemas specific feedback from ask customers to

    rate their experience in different area in the scale of three satisfied, neutral and dissatisfied.

    Graphical analysis: Representation of data in the graphical form to analyze.

    ANOVA: To find the variation between the group and within the group.

    Correlation: to find the relation between some critical factor

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    OUTCOMES FROM QUESTIONNAIRE

    Ticket counter

    COURTESY OF STAFF SPEED OF RESPONSE STAFF GROOMING

    SATISFIED 90 50 45

    NEUTRAL 61 81 85

    DISSATISFIED 38 58 59

    TOTAL 189 189 189

    Security

    COURTESY OF STAFF

    SATISFIED 62

    NEUTRAL 71

    DISSATISFIED 56

    TOTAL 189

    Audi experience

    ON SCREENPRESENT.

    SOUND COMFORT OFSEAT

    CLEANLINESS

    SATISFIED 69 77 67 61

    NEUTRAL 65 59 64 65

    DISSATISFIED 55 53 58 63

    TOTAL 189 189 189 189

    Snack counter

    CHOICE OF

    NEW MENU

    TASTE SPEED OF

    SERVI.

    COURTESY OF

    STAFF

    OVERALL

    EATING EXPE.SATISFIED 62 53 63 70 58

    NEUTRAL 64 71 71 71 80

    DISSATISFIED 63 65 55 48 51

    TOTAL 189 189 189 189 189

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    INDIAN BUSINESS ACADEMY

    D

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    COURTESY OF

    STAFF

    0

    10

    20

    30

    40

    50

    60

    70

    80

    SATISFIED

    ATA REPRESENTATION

    Ticket counter

    Security

    SPEED OF

    RESPONSE

    STAFF

    GROOMING

    SATISFIE

    NEUTRA

    DISSATIS

    NEUTRAL DISSATISFIED

    COURTESY OF STAFF

    COURTESY OF S

    Page 10

    FIED

    AFF

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    INDIAN BUSINESS ACADEMY

    0

    10

    20

    30

    40

    50

    60

    70

    80

    0

    10

    20

    30

    40

    50

    60

    70

    80

    CHOICE OF

    NEW

    MENU

    TAS

    Audi experience

    Snack counter

    SATISFIE

    NEUTRA

    DISSATIS

    E SPEED OF

    SERVI.

    COURTESY

    OF STAFF

    OVERALL

    EATING

    EXPE.

    SATIS

    NEU

    DISS

    Page 11

    FIED

    FIED

    RAL

    TISFIED

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    INDIAN BUSINESS ACADEMY

    0

    10

    20

    30

    40

    50

    60

    70

    80

    STANDARDS WAS

    SERVICE CLEA

    0

    20

    40

    60

    80

    100

    120

    140

    YES

    Experience at Big Cinemas

    Service delighted

    HROOM TICKET

    NLINESS

    OF

    EASE OF

    BOOKING

    OVERALL EXPE.

    S

    N

    DI

    NO

    SERVICE DELIGHTE

    Se

    Page 12

    TISFIED

    UTRAL

    SSATISFIED

    ies1

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    0

    20

    40

    60

    80

    100

    120

    140

    YES

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    TC1

    TC2

    TC3

    SEC1

    AUDI1

    AUDI2

    TICKET COUNTERSECURITYAUDI EX

    Will you visit again?

    Combined graph

    NO

    ILL YOU VISIT AGAIN

    Se

    AUDI3

    AUDI4

    SC1

    SC2

    SC3

    SC4

    SC5

    EB1

    EB2

    EB3

    EB4

    PERIENCE SNACKS COUNTEREXPERIENCE AT BIG CINE

    Page 13

    ies1

    MAS

    SATISFIED

    NEUTRAL

    DISSATISFIED

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    DATA ANALYSIS

    Based on graph: Bar graph shows that most of the respondent are neutral in respect to overall

    experience at big cinemas and wont mind visiting again to spend a leisure time. Talking weatherof ticket counter experience or security or any other prospect of the survey, the neutral customers

    exceeds in each case in respect to satisfied and dissatisfied customers.

    An observation is also made that there is no dissatisfaction

    among the customers regarding the Audi experience which means that the visitors enjoy

    watching the movie on wide screen. Most of the respondents are either satisfied or neutral in

    Audi experience which is a positive sign for Big Cinemas as they achieve a remarkable success

    in their core competency of movie showing.

    A major constraint that comes into light on the basis of the graph representation is that,

    there is bit dissatisfaction among the customers regarding snacks counter, and the reason is that

    there is very less variety in the choice of the menu offered at the centre. The visiting customers

    find it difficult to find a variety of menu to satisfy their belly when the feel hungry.

    Other than snacks counter Big Cinemas has achieved a remarkable

    achievement in pursuing their business in Ansal Plaza, Greater Noida. They have been able to

    satisfy the customers of every segment to a large extent and has also succeeded in retaining their

    customers.

    Based on ANOVA

    The terms Single Factor Analysis of Variance, Single Factor ANOVA, One Way Analysis of

    Variance, and One Way ANOVA are used interchangeably to describe the situation where a

    continuous response is being described in terms of a single factor composed of two or more

    levels (categories). It is a generalization of Student's t test for independent samples to situations

    with more that two groups.

    ANOVA is used to test hypotheses about differences in the mean between two or more groups.

    ANOVA is used to compare multiple groups of observations. ANOVA examines how independent variables affect a dependent variable.

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    Ticket counter

    Anova: Single

    Factor

    SUMMARY

    Groups Count Sum Average Variance

    COURTESY OF

    STAFF 189 326 1.724868 0.604751

    SPEED OF

    RESPONSE 189 386 2.042328 0.572667

    STAFF GROOMING 189 392 2.074074 0.547675

    ANOVA

    Source of Variation SS df MS F P-value F crit

    Between Groups 14.0952381 2 7.047619 12.25607

    6.16E-

    06 3.011701

    Within Groups 324.3174603 564 0.575031

    Total 338.4126984 566

    From the above data we can inculcate that courtesy off staff at the ticket counter is

    1.72(average) which is tending towards satisfaction and is not subject of matter for the authority,were as other hand the criteria such as speed of response and staff grooming is matter to debate

    were the average is 2.04 and 2.07 respectively. All the variables are very close to 2 i.e neutral

    level.

    The variation in respect to the respondent in a particular group is very low that is 0.57 which is

    showing that the response is tending towards neutral.

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    Audi experience

    Anova: Single Factor

    SUMMARY

    Groups Count Sum Average Variance

    ON SCREEN

    PRESENT. 189 364 1.925926 0.654058

    SOUND 189 354 1.873016 0.675279

    COMFORT OF SEAT 189 369 1.952381 0.662614

    CLEANLINESS 189 380 2.010582 0.659462

    ANOVA

    Source of Variation SS df MS F P-value F crit

    Between Groups 1.85582 3 0.618607 0.933248 0.424092 2.616745

    Within Groups 498.4656 752 0.662853

    Total 500.3214 755

    The average in all variables in this segment is less than two i.e. satisfactory. Only cleanliness is

    going a bit beyond neutral level i.e. dissatisfaction. The variation in the response of the customer

    in these four areas is very less and also the response of customer within the group i.e. on screen

    presentation, sound & comfort of seat is somehow similar.

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    Snack counter

    The average in choice of menu and taste i.e. 2.005 and 2.063 respectively is a matter of worry as

    it is tending towards the dissatisfaction level. The level of satisfaction between the group and is

    very high i.e. 0.82 in respect to within the group i.e. 0.62

    Anova: Single Factor

    SUMMARY

    Groups Count Sum Average Variance

    CHOICE OF NEW

    MENU 189 379 2.005291 0.664865

    TASTE 189 390 2.063492 0.623607

    SPEED OF SERVI. 189 370 1.957672 0.625858

    COURTESY OF STAFF 189 356 1.883598 0.614038

    OVERALL EATING

    EXPE. 189 371 1.962963 0.578408

    ANOVA

    Source of Variation SS Df MS F P-value F crit

    Between Groups 3.316402 4 0.829101 1.334342 0.255274 2.3814

    Within Groups 584.0741 940 0.621355

    Total 587.3905 944

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    Experience at Big Cinemas

    SUMMARY

    Groups Count Sum Average Variance

    SERVICE STANDARD 189 357 1.888889 0.609929

    CLEAN OF

    WASHROOM 189 357 1.888889 0.673759

    EASE OF BOOKING 189 371 1.962963 0.652876

    OVERALL EXP 189 364 1.925926 0.590229

    ANOVA

    Source of Variation SS df MS F P-value F crit

    Between Groups 0.712963 3 0.237654 0.376215 0.770187 2.616745

    Within Groups 475.037 752 0.631698

    Total 475.75 755

    All the variables in this segment i.e. experience at big cinemas is fluctuating between 1-2

    which shows that the customers visiting Big Cinema are lying between satisfied and neutralstate. But the respondents within the group vary with an average of 0.63 were as the variation is

    very less in between the group i.e. 0.23

    Based on correlation

    Correlation b/w overall eating experience and overall experience at big cinema

    OVERALL EATING EXPE. OVERALL EXP AT BIG CINEMAS

    OVERALL EATING EXPE. 1

    OVERALL EXP AT BIG

    CINEMAS 0.131834121 1

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    There is a direct correlation between overall eating experience and overall experience at big

    cinema. It is reflecting that if level of satisfaction is not satisfactory at snacks counter, it will

    affect the level of overall satisfaction at Big Cinema though overall experience at Big Cinema is

    satisfactory.

    CONCLUSION

    Staff Grooming at Ticket Counter Cleanliness Choice of Menu Taste

    In the above written area experience of customers is either neutral or dissatisfied. The level of

    dissatisfaction is high mainly at snacks counter regarding choice of menu and from the customer

    suggestion I come to know that Cost of food is also a critical factor which makes customer

    dissatisfy at snack counter.

    I also come to know that service at Audi is satisfactory for the customers.

    Most of the customers are delighted with Big Cinemas service because it being their core

    service. In the context of visiting again, most of the customers have shown a positive response.

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    RECOMMENDATIONS & ACTION PLAN

    Staff grooming at ticket counter: The staff member has to be more responsive and polite to the

    customers, for that it is needed that they should be more extrovert and communicative to thevisitors.

    Attractive Choice of Menu and taste: The authority can ask the vendors in the campus to come

    up with certain new munchies and can also allot the vacant space in the campus to new caterers.

    And cost should be within limit that fetches profit for the vendor and is also able to attract

    customers.

    Cleanliness of wash room: Special attention should be given on cleanliness of the wash room

    area to provide the customers a hygienic environment.

    Overall Eating Experience v/s Overall Experience at Big Cinema: From the core relation

    between these two it is clearly visible that overall eating experience is effecting overall

    experience at Big Cinema and at the ticket counter customers are not satisfied. So the focus

    should be at snacks counter to increase the overall satisfaction level.

    Customer Relationship management: Customer relationship management is a critical factor to

    increase market share .For that Big Cinema has to collect the data base of the customer and it can

    be done at the ticket counter while booking ticket customer can be asked some basic information

    and this information can be used for mobile marketing.

    Attractive Gift Ticket: To increase customers visiting frequency some attracting gifts ticket

    can arranged such as giving the 5th ticket free after 4th visit, but for the 5th visit administrator has

    to set s specific time during which the visit of customer is currently very less.

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    BIBLIOGRAPHY

    Statistics for management by Richard I. Levin and David S. Rubin published by pearson. www.bigcinemas.com Prof. S. K. Singh (Prof. marketing management and international business, Indian

    Business Academy, Greater Noida)

    Dr. D. Das (Prof. statistics and operation research Indian Business Academy, GreaterNoida)

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    ANNEXURE

    Your Feedback

    We welcome your feedback. It well helps us to improve our service to suit your needs.

    Please rate your experience in the following areas: out of 3

    Ticket Counter

    Courtesy of Staff

    Speed of Response

    Staff Grooming

    Security

    Courtesy of Staff

    Movie /Audi Experience

    On Screen Presentation

    Sound

    Comfort of Seats

    Cleanliness

    Snack Counter

    Choice of New Menu

    Test

    Speed of Service

    Courtesy of Staff

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    Overall Experience

    Experience at Big Cinemas

    Service Standards

    Cleanliness of Washrooms

    Ease of booking Tickets

    Overall Experience

    Were you delighted with our service? YES NO

    Will you visit us again? YES NO

    Any Other Suggestions

    Name..Age.Gender M/F..

    Phone.Email.

    Birth Date..