Comparative Study on Brand Selection of smart phone in Youth through AHP: A Case of Rajasthan and...
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Transcript of Comparative Study on Brand Selection of smart phone in Youth through AHP: A Case of Rajasthan and...
Increasing the demand of smart phoneTo remove the confusion regarding the brand selection of smart phoneTo find out the brand preferred by the youthRequirement of youth regarding the smart phoneCompanies know that what are the USP of their competitor Perception of the youth changes according to the area
A Smartphone is a mobile phone which performs many of the functions of a computer
with an operating system.Smartphone typically include the features like,personal digital assistant digital camera media player GPS navigation unit Touch screen web browsing Wi-Fi appsmotion sensorsmobile payment mechanisms
To understand the behavior of youth, age 17 to 24, towards the selection of smart phone brand. Examine the way young people related to functionality of smart phone. To know their triggers for purchase and influencers at the time of purchase. Investigate youth awareness with regards to the recent launches of smart phone in the market. Understand the youth priority to purchase smart phone.
SYSTEMATIC PROCEDURE FOR REPRESENTING ELEMENTS OF A HIERARCHYSUPPORTS EXECUTIVE DECISIONS, APPLIES KNOWLEDGE, DERIVES PRIORITIES AND
RANKS ALTERNATIVESDEALS WITH QUANTIFIABLE AND INTANGIBLE CRITERIANO GUESS INVOLVED AND JUDGMENTS CAN BE MADE IN A VERBAL MODE BASIC ASSUMPTION : FUNCTIONAL INDEPENDENCE OF AN UPPER CLUSTER FROM
ALL IT’S LOWER PARTS IN THE HIERARCHY
ChoiceRankingPrioritizationResource allocationBenchmarkingQuality managementConflict resolutionTotal quality management
Re-engineering
Literature
ReviewSurvey (Primary
Data)
Online
OfflineAHP
Pair wise comparison
matrix
C.R <
0.1
NO
Calculations and Result
YES
SCORE ASSUMPTIONS
1 Extremely Unimportant
2 Unimportant
3 Moderately Unimportant
4 Neither Important Nor Unimportant
5 Moderately Important
6 Important
7 Extremely Important
SCORE ASSUMPTIONS
1 Extremely Unimportant
2 Unimportant
3 Moderately Unimportant
4 Neither Important Nor Unimportant
5 Moderately Important
6 Important
7 Extremely Important
» Decision Making is choosing among alternatives to attain
specific objectives.
# PROBLEM SOLVING PROCESS #
Define The
Problem
EvaluateSolution
ImplementSolution
DecideCourse of
ActionGenerateSolutions
Selection of best mobile brand
Brand name
Micromax
Nokia
Samsung
Lava
Lenovo
Karbonn
Sony
Gionee
Motorola
Operating System
Micromax
Nokia
Samsung
Lava
Lenovo
Karbonn
Sony
Gionee
Motorola
Hardwar and
design
Micromax
Nokia
Samsung
Lava
Lenovo
Karbonn
Sony
Gionee
Motorola
Cost
Micromax
Nokia
Samsung
Lava
Lenovo
Karbonn
Sony
Gionee
Motorola
Features
Micromax
Nokia
Samsung
Lava
Lenovo
Karbonn
Sony
Gionee
Motorola
Available Software
Micromax
Nokia
Samsung
Lava
Lenovo
Karbonn
Sony
Gionee
Motorola
Network Technolog
y
Micromax
Nokia
Samsung
Lava
Lenovo
Karbonn
Sony
Gionee
Motorola
Overall Goal
CRITERIA
DECISION
ALTERNATIVE
S:
1)SAMPLE SIZE —600 RESPONDENTS
2) SAMPLE UNIT - DIFFERENT USERS OF SMART PHONE AGE GROUP (17-24)
3) SAMPLING AREA – JAIPUR & GUJARAT
4) SAMPLING TECHNIQUE - RANDOM SAMPLING TECHNIQUE
0.00000
0.02000
0.04000
0.06000
0.08000
0.10000
0.12000
0.14000
0.16000
0.18000
Brandname
OS COST A.S. H & D Feature N & T
Gujarat
Rajasthan
Criteria Gujarat Rajasthan
Brand name 0.12731 0.11734
OS 0.12309 0.12900
COST 0.13532 0.13835
A.S. 0.14543 0.15125
H & D 0.16380 0.15636
Feature 0.14415 0.15020
N & T 0.16089 0.15749
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
Brandname
O.S. COST A.S. H & D Feature N&T
Lenovo
Micromax
karbonn
lava
Motoroal
Nokia
Sony
Samsung
Gionee
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
Brandname
O.S. COST A.S. H & D Feature N&T
Samsung
Micromax
karbonn
lava
Motoroal
Nokia
Sony
Gionee
Lenovo
At Gujarat At Rajasthan
At Gujarat1.Gionee2.Nokia
At Rajasthan1.Samsung
2.Nokia
Rajasthan Gujarat
Lenovo 0.100259853 0.11315681
Micromax 0.106251857 0.09947018
karbonn 0.108758373 0.10933002
lava 0.113772219 0.11250850
Motoroal 0.110577741 0.11005071
Nokia 0.114020098 0.11602122
Sony 0.111161479 0.11528048
Samsung 0.115301159 0.09696404
Gionee 0.111661099 0.119397200
0.02
0.04
0.06
0.08
0.1
0.12
0.14
Lenovo Micromax karbonn lava Motoroal Nokia Sony Samsung Gionee
Rajasthan
Gujarat
The analytical hierarchy process uses scientific proof for evaluation of different criteria. It differs from conventional decision analysis methodologies by not requiring users to make numerical guesses. Limitation: cannot be used where decision problems cannot be structured hierarchically. In spite of these limitations, ahp is by far the most commonly used multi criteria decision making model since its formulation by saaty and kearns in 1985.hence, using ahp we conclude that, considering the following criteria – brand name, cost, operating system, available software, hardware & design, operating system, features; SAMSUNG is the best brand for youth in JAIPUR while GIONEE in GUJARAT