Factor Analysis Interpretation 7.2.16

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  • 8/17/2019 Factor Analysis Interpretation 7.2.16

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    AFACTOR ANALYSIS

    Factor analysis is a technique which helps to reduce the number o !ariables and also to detect

    structure in the relationships between !ariables" that is to classiy !ariables# Thus actor analysis

    is applied as a data reduction or structure detection method $the term actor analysis was irst

    introduced by Thurstone" $%&'%(#

    In order to test the !alidity o the data or actor analysis )*O $)aiser *eyer Ol+in ( and

    ,artlett-s test o Sphericity was conducted# This test is an indicator to +now how well the sample

    data is suited or actor analysis# It is the ratio o the sum o the squared correlations or all

    !ariables in the analysis to the squared correlations o all !ariables plus the sum o the squared

     partial correlations or all !ariables# The denominator o this ratio increases with the !ariation

    that is unique to pairs o !ariables $partial correlations(" ma+in. the !alue o )*O less than one#

    These measures su..est that !alues o /#& or hi.her are .reat and !alues below /#0 are

    unacceptable# The use o )*O and ,artlett-s test o sphericity is essential to measure sample

    adequacy or usin. actor analysis#

    KMO AND BARTLETT’S TEST

    )aiser *eyer Ol+in *easure o Samplin.

    Adequacy

    /#10&

    ,artlett-s test o Sphericity Appro2# Chi3Square %'0#4/5

    6F %/

    Si. #///

    The actor analysis is used to study the problems aced by *S*7s in 8isa+hapatnam district#

    These problems are studied in i!e areas#

    %# Finance 9roblems

    :# 9roduction 9roblems'# *ar+etin. problems

    ;# *ana.erial problems

    0# 9re < Commencement o business 9roblems

    Finance problems contains %0 !ariables" 9roduction problems contain our sub problems namely

    Raw *aterial" 9ower" labour and Technolo.y# On the whole %1 !ariables are co!ered in all the

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    our sub problems# %% !ariables are co!ered in mar+etin. problems" 0 !ariables are co!ered in

    mana.erial problems and 1 !ariables are co!ered in 9re3Commencement o business problems#

    =ence on the whole 00 !ariables are co!ered in i!e areas#

    00 !ariables were run into S9SS sotware and the results showed only '' !ariables# >hich are as

    ollows?

    I Finance 9roblems?

    %# @rant o loan $@L(:# 6ocumentation $6(

    '# Security $S(

    ;# *aintain boo+s o accounts $*,A(0# ,ud.etin. $,(

    5# 9ayment o 8AT $8(1# 9ayment o CST $C (4# 9ayment o 72cise duty $76(

    9ayment o Custom duty $C6(

    %/# 9roblem or claimin. Input Ta2 Credit $ITC(%%# Factorin. $F(

    %:# Allowin. credit to customers $ACC(

    %'# Slow collection o debts $SC6(

    %;# @rant o subsidy $@S(%0# =i.h discount allowed $=6A(

    II 9roduction 9roblems?

    $i( Raw *aterial?%# Shorta.e o a!ailability o Raw *aterial $SR*(

    :# =i.h cost o Raw *aterial $=R*(

    '# Increase in orderin. cost due to less quantity ordered $OC(

    ;# Import o Raw *aterial $IR*(0# 9roblems in stora.e o Raw *aterial $STR*(

    $ii( 9ower 9roblems?

    %# 9ower cut $9C(:# =i.h cost o alternate power $diesel or .enerator( $A9(

    '# 9ower holiday $9=(;# =i.h e2penditure on power consumption $79C($iii( Labour 9roblems

    %# =i.h cost o s+illed labour $=SL(

    :# Non a!ailability o s+illed labour $NASL('# Frequent absenteeism o labour $FAL(

    ;# *ore idle time spent by labour $ITL(

    $i!( Technolo.y 9roblem?

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    %# Non A!ailability o *achinery $NA*(

    :# Bnder utiliation $BB(

    III 9re3 Commencement o ,usiness 9roblem?

    %# See+in. permit rom en!ironment department $S976(:# Re.istration $R(

    '# Ta2 related problems $T9(

    Communalities

    Initial Extraction

    grant 1.000 .770

    documen 1.000 .836

    security 1.000 .747

    books 1.000 .793

    budget 1.000 .784

    vat 1.000 .898

    cst 1.000 .962

    excise 1.000 .943

    cusdut 1.000 .90

    in!utax 1.000 .860

    "acting 1.000 .823

    cretoc 1.000 .811

    slo#det 1.000 .927

    subsidy 1.000 .807

    $ig$dis 1.000 .63

    s$orage 1.000 .99

    $ig$ct 1.000 .801

    ording 1.000 .860

    im!orrm 1.000 .76

    storarm 1.000 .740

    !o#cut 1.000 .843

    altertiv 1.000 .96

    $oliday 1.000 .882

    $ig$ex! 1.000 .901

    skilled 1.000 .916

    nonaval 1.000 .900

    absent 1.000 .993

    idltime 1.000 .801

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    navimac 1.000 .872

    under 1.000 .821

    over 1.000 .784

    72traction *ethod? 9rincipal Component Analysis

    TOTAL VARIANCE EXPLAINED

    Componen

    t

    Initial 7i.en !alues 72traction Sums o Squared

    Loadin.s

    Rotation Sums o Squar

    Loadin.s

    Total

    D o 

    8arianc

    e

    Cumulati!

    e D Total

    D o 

    8ariance

    Cumulati!

    e D Total

    D o 

    8ariance

    Cumul

    D

    %10.230 28.416 28.416

    10.23

    028.416 28.416 6.047 16.797 1

    :   4.322 12.006 40.422 4.322 12.006 40.422 4.616 12.822 2

    '   3.70 10.416 0.839 3.70 10.416 0.839 3.783 10.09 4

    ;   2.460 6.832 7.671 2.460 6.832 7.671 3.414 9.483 4

    0   2.09 .718 63.389 2.09 .718 63.389 2.996 8.321

    5   1.676 4.6 68.044 1.676 4.6 68.044 2.421 6.726 6

    1   1.72 4.366 72.410 1.72 4.366 72.410 1.72 4.867 6

    4   1.497 4.18 76.69 1.497 4.18 76.69 1.71 4.763 7

    &   1.273 3.37 80.106 1.273 3.37 80.106 1.416 3.932 7%/   1.08 2.938 83.044 1.08 2.938 83.044 1.398 3.883 8

    %%   1.014 2.81 8.89 1.014 2.81 8.89 1.32 3.7 8

    %:   .86 2.378 88.237

    %'   .688 1.911 90.148

    %;   .617 1.714 91.862

    %0   .466 1.294 93.16

    %5   .403 1.120 94.276

    %1   .341 .947 9.223

    %4   .291 .807 96.030

    %&   .21 .697 96.727

    :/   .232 .64 97.372:% .19 .42 97.914:: .13 .426 98.341:' .128 .3 98.696:; .121 .337 99.033

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    :0 .098 .272 99.304:5 .083 .231 99.3:1 .04 .149 99.684:4 .041 .113 99.797:&

    .024 .067 99.864'/ .022 .061 99.92'% .01 .043 99.968': .007 .020 99.987

    33 .004 .012 99.999

    34 .000 .001 100.000

    3 %2.661E%

    16

    %7.392E%

    16100.000

    36 %7.634E%

    16

    %2.121E%

    1100.000

    72traction *ethod? 9rincipal Component Analysis

    In order to reduce the number o actors and enhance the interpretability" the actors were rotated#

    Since the rotation increases the quality o interpretation o the actors# Thou.h there are !arious

    methods or rotation in order to obtain simple structure o the data# The !arima2 rotation is one

    such method which is used in order to obtain better result or interpretation which is show in the

     below table#

    TA,L7 %?

    ROTATED FACTOR LOADINGS

    S.No

    VARIABLES

    FACTOR 

    CO*

    *B

     NA

    LIT

    Y

    % : ' ; 0 5 1 4 & %/ %%

    inance#%%% #/';

    3#/%

    %

    3#/1

    /#/'4

    3#::

    '

    3#%:

    1

    3#%'

    5#/&: 3#44;

    #

    %1:

    #

    &:'

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     prodion 3#//

    5

    3#%4

    4

    3#//

    %#%%:

    3#/5

    0

    3#/'

    :#/%;

    3#5:

    ;#'1/ #;'&

    #

    '4&

    #

    &:0

    mar+etin

    .#//; #/:&

    3#/'

    ;

    3#%/

    ;

    3#/%

    '#%5% #/00

    3#/;

    4#'/4 #%5&

    3#41

    '

    #

    &'%

    mana.e

    m

    3#/0

    /#%'% #/5% 3#/%

    1#//& #/&: 3#/:

    5#//0 3#441 #/15 #

    :00

    #

    4&/

     precomm 3#/5

    0#//&

    3#/%

    %#/4; #/'4

    3#//

    %#/45 .898 #/;0 #%45

    #

    %/'

    #

    41;

    .rant#%:4

    3#/&

    :.810 #/:/ #%%% #%;; #/45 #/00 3#/%% 3#:%/

    #

    /';

    #

    11/

    documen#%0% #/%5 .870 #%;0 #/&/ #%'' #/51 #/%1 #//0 3#/;%

    3#/;

    &

    #

    4'5

    security#%:: #%1& #%0;

    3#:&

    /

    3#;5

    5#;5%

    3#%'

    ;#:45 #:%; 3#%:1

    #

    /%&

    #

    1;1

     boo+s#%%: #/:4 .792 #/;1 #%15

    3#:'

    %

    3#/5

    5

    3#/1

    13#/0' #::&

    #

    /:%

    #

    1&'

     bud.et#;54 #/'' .549 #/5% #'4& #/1&

    3#/0

    &

    3#%4

    %3#%50 #%5%

    #

    %/;

    #

    14;

    !at.897 #/5' #%%0 #%40 #/&' #/%' #/%0

    3#/&

    &3#/'' 3#%/;

    3#%/

    ;

    #

    4&4

    cst.920 #%/0 #%'/ #%41 #:%:

    3#/%

    1#/%'

    3#/:

    '3#/00 3#/01

    3#/'

    '

    #

    &5:

    e2cise

    .99 #/'4 #/;0 #%0' #%0:

    3#/5

    4

    3#/;

    ;

    3#//

    & #/00 3#/::

    #

    /'5

    #

    &;'

    cusdut.942 #/;' #/0% #%0& #%0:

    3#/;

    '

    3#/5

    &

    3#//

    4#/0' 3#/:1

    #

    /%5

    #

    &0/

    inputa2.848 #%/: #/&5 #:4'

    3#/&

    '

    3#/;

    :

    3#%/

    5#/4' #/10 #/':

    #

    /1'

    #

    45/

    actin.#'4' #%&1 #;50 #''% #/15 #'%' #'1'

    3#/'

    03#%;0 #%;;

    #

    %5%

    #

    4:'

    cretoc#':/ #/:4 #/&1 .804 #/&0

    3#/'

    &

    3#/'

    5

    3#%/

    4#/;' #%50

    3#//

    '#4%%

    slowdet#'%/ #/;; #/&/ .884 #%50 #/:0

    3#/%

    :

    3#/0

    %#/'; #/;%

    #

    /1%

    #

    &:1

    subsidy#:4: #/// #/04 .!9 #:%: #%;: #//5 #'%5 #/45 #/;:

    #

    :5;

    #

    4/1

    hi.hdis#'&: #/5& #/0& .!14

    3#/:

    0

    3#%/

    0#/:& #%%4 3#%44 3#%'&

    3#%:

    :

    #

    5'0

    shora.e .725 #/5& .507 #;%: #%4; #/:1 #/:% #//' 3#/:& #/%% # #

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    /;' &&0

    hi.hct#:%' #%;0 #:'5 .525 .!02 #/'4 #/51

    3#/:

    ;#%/' 3#%0;

    3#/%

    4

    #

    4/%

    ordin.#'/1 #%5% #%&: #%;5 .759 #:%0 #//5 #/;1 3#%4/ 3#%0%

    3#/;

    '

    #

    45/

    imporrm#//:

    3#/;

    5

    3#'1

    %#/&0

    3#/;

    1#:0:

    3#51

    ;

    3#%5

    4#%;5 3#/0'

    #

    %44

    #

    105

    storarm#;// #%&4 #'%/ #/:% .!14 #%:% #/15 #/;0 #/1' #%1:

    #

    /&5

    #

    1;/

     powcut 3#/1

    1#:&: .547 #/&: #;50

    3#/'

    %#%55 #'4% #:'/ #//5

    #

    /'%

    #

    4;'

    alterti!#:5& #:4: #'4' #:5% .74 #%%; #/14 #%0' #/41 3#/%1

    #

    ///

    #

    &05

    holiday 3#/&

    %.910

    3#//

    '#%5: #/11

    3#/1

    1#/%:

    3#/:

    53#//4 #/'%

    3#/1

    1

    #

    44:

    hi.he2p#/:& .887 #%'1

    3#%:

    '#%&1

    3#/'

    4

    3#/;

    /#%/5 3#/'& 3#/::

    #

    %0;

    #

    &/%

    s+illed#%0: .88!

    3#%1

    &#%:&

    3#/%

    /#%/& #/:4 #//0 #/'4 #/;1

    3#:/

    0

    #

    &%5

    nona!al#:%5 .892 #%/'

    3#/;

    /#/0;

    3#/1

    0#/;& #/%& 3#%%& 3#%/5

    #

    /&/

    #

    &//

    absent#/&/ .98! #/%1 #/'; #/45

    3#/:

    '#/%0 #/:4 3#/'1 3#/%5

    3#//

    &

    #

    &&'

    idltime 3#/&

    '

    3#/;

    1#/;/ #%0;

    3#/0

    '.82 #%:% #/:& 3#/&4 #%%%

    3#%4

    :

    #

    4/%

    na!imac 3#/;

    ;

    3#%%

    '#%/:

    3#/&

    '#'5% .80 #/0;

    3#/:

    4#/%1 #%%:

    #

    /0;

    #

    41:

    under 3#/;

    '

    3#/:

    5

    3#%0

    1

    3#%;

    /#:14 .51 .599

    3#/&

    ;3#%1' #/4'

    3#%/

    %

    #

    4:%

    o!er 3#%;

    /#/:% #//; #/&' #//& #:;/ .805 #/;/ #%&& #/0%

    #

    /4/

    #

    14;

    E"#$"

    V%&'$

    10.2

    0

    4.2

    2

    .75

    0

    2.4!

    0

    2.05

    9

    1.!7

    !

    1.57

    2

    1.49

    7

    1.27

    %#/0

    4

    %#/

    %;

    ( o)*%+,%"-$

    28.41!

    12.00!

    10.41!

    !.82

    5.718

    4.!55

    4.!!

    4.158

    .57

    :#&'4

    :#4%0

    C' (

    o)

    *%+,%"-$

    28.4

    1!

    40.4

    22

    50.8

    9

    57.!

    71

    !.

    89

    !8.0

    44

    72.4

    10

    7!.5

    !9

    80.1

    0!

    4'#/

    ;;

    40#

    40&

    72traction *ethod? 9rincipal Component Analysis#

    Rotation *ethod? 8arima2 with )aiser Normaliation#

     Rotation con!er.ed in %/ iterations#

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    TABLE 2/

    CLSTERING OF VARIABLES INTO FACTORS

    FACTOR 8ARIA,L7S ROTAT76 FACTOR LOA6IN@

    % 8AT /#&'4

    CST /#&/4

    72cise duty /#&:'

    Custom duty /#4&%

      @rant o subsidy /#15%

    : *aintain boo+s o accounts /#10;

    9ower cut /#4%1

    9ower holiday /#4%/

    =i.h e2penditure on power consumption /#55&

    9re3commencement ta2 related problems /#54'' @rant o loan /#41&

    6ocumentation /#4%%

    Allowin. credit to customers /#111

    more idle time spent by labour /#0&0

    ; =i.h cost o s+illed labour /#4%%

     Non < a!ailability o s+illed labour /#&/0

    Frequent absenteeism o labour /#455

    0 Shorta.e o Raw *aterial /#14%

    Increase in orderin. cost /#1':

    9roblem in stora.e o Raw *aterial /#0%/

    5 =i.h cost o alternati!e power /#4511 =i.h cost o Raw *aterial /#5'5

     Non < a!ailability o *achinery /#55&

    4 9roblem or claimin. Input ta2 credit /#1:1

    & Re.istration /#0:&

    TABLE /

    SMMAR OF FACTORS

    Factor Factor loadin. mean Ran+in.

    Factor % /#44;: %

    Factor : /#1;55 0

    Factor ' /#1500 ;

    Factor ; /#45/5 '

    Factor 0 /#51;' 1

    Factor 5 /#451 :

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    Factor 1 /#50:0 4

    Factor 4 /#1:1 5

    Factor & /#0:& &

    A /#0/ actor loadin. was used as a cut3o point" thereore the sur!i!in. !ariables with actor 

    loadin.s o /#0/ or hi.her are considered urther or interpretation and namin.# The

    interpretation and namin. o actors implied that the remainin. or sur!i!in. !ariables with hi.h

    actor loadin.s and common conceptual meanin.s were .rouped to.ether to orm a .enuine

    independent actor#

    Table % pro!ides summary o rotated actor patterns# Ater the .roupin." namin. and

    interpretation" & newly established actors were identiied and are considered to be si.niicant

    actors that inluence the selection o problems aced by *S*7 sector#

    Factor %? actor % accounts or ::#%0 percent o the total !ariance and is deri!ed rom si2

    !ariables" namely? bud.et $/#0:&(" 8AT $/#&'4(" CST $/#&/4(" e2cise duty $/#&:'(" Custom 6uty

    $/#4&%( and problem relatin. to @rant o Subsidy $/#15%(# All these !ariables reer to inancial

     problems" hence o all the i!e problems studied by the researcher it is ound rom the analysis

    that *S*7 are acin. inancial problems# This actor ran+ed % as shown in table '#

    Factor :? actor : accounts to %5#';4 percent o the total !ariance and is deri!ed rom i!e

    !ariables" namely maintenance o boo+s o accounts $/#10;(" power cut $/#4%1(" power holiday

    $/#4%/(" hi.h e2penditure on power consumption $/#55&(" ta2 related problems beore

    commencement o business $/#54'(# O all the !ariables in actor :" problems relatin. to 9ower 

    are playin. a maEor role# =ence problem relatin. to power is a actor which *S*7s are acin.#

    It is ran+ed 0#

    Factor '? actor ' accounts to %%#05; percent o the total !ariance and is deri!ed rom our 

    !ariables" namely? .rant o loan $/#41&(" problems relatin. to documentation $/#4%%(" allowin.

    credit to customers $/#111( and more idle time spent by labour $/#0&0(# O all the our !ariables"

    three o the !ariables are relatin. to Finance problems and one !ariable is relatin. to Labour 

     problems# It ran+ed ;#

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    Factor ;? Factor ; accounts to %0 percent o the total !ariance and is deri!ed rom three

    !ariables" namely? hi.h cost o s+illed labour $/#4%%(" Non3a!ailability o s+illed labour $/#&/0(

    and requent absenteeism o labour $/#455(# All the three !ariables are representin. the 9roblems

    relatin. to labour# It shows that *S*7s are seriously acin. 9roblems relatin. to labour# It

    ran+ed '#

    Factor 0? actor 0 accounts to 5#1%1 percent o the total !ariance and is deri!ed rom three

    !ariables" namely? shorta.e o Raw *aterial $/#14%(" Increase in orderin. cost due to less

    quantity ordered $/#1':( and 9roblem in stora.e o Raw *aterial $/#0%/(# All the three problems

    are relatin. to Raw *aterial problem# It shows that the *S*7s are not only acin. problems

    relatin. to inance and Labour but also problem relatin. to Raw *aterial# It is ran+ed 1#

    Factor 5? actor 5 accounts to 0#;;; percent o the total !ariance and is deri!ed rom only one

    !ariable" namely =i.h cost o alternati!e power $/#451(# This !ariable is represents the problem

    relatin. to power# 9roblem relatin. to power has our !ariables out o which three !ariables were

    deri!ed in actor : and the remainin. one !ariable is deri!ed in actor 5# It is ran+ed :# This

    shows that ater Finance as shown in table '" 9ower plays a maEor role in the problems aced by

    *S*7s#

    Factor 1? actor 1 accounts to ;#/&4 percent o the total !ariance and is deri!ed rom two

    !ariables" namely =i.h cost o Raw *aterial $/#5'5( and Non3a!ailability o *achinery $/#55&(#

    O these two !ariables one !ariable is relatin. to Raw *aterial 9roblem and the other !ariable is

    relatin. to Technolo.y problem# This actor ran+s 4#

    Factor 4? actor 4 accounts to ;#/11 percent o the total !ariance and is deri!ed rom only one

    !ariable" namely? problem or claimin. input ta2 credit $/#1:1(# This !ariable is relatin. to

    inance problem# Factor 4 ran+s 5 position in problems o *S*7s#

    Factor &? this actor accounts to '#%54 percent o the total !ariance and is deri!ed rom only one

    !ariable" namely? Re.istration beore commencement o business $/#0:&(# This !ariable is only

    one !ariable which is relatin. to 9re3commencement problems# It ran+s &th position#

    Co"-&',o"/

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    The main indin.s o the study ha!e .enerated some important actors relatin. to problems aced

     by *S*7s in 8isa+hapatnam district o Andhra 9radesh# It concludes that Finance is a maEor 

     problem aced by these enterprises which is deri!ed in actor %# All the inance related !ariables

    are e2tracted under actor %" namely? problems relatin. to bud.et" 8AT" CST" 72cise duty"

    Custom duty and .rant o subsidy# 6ue to lac+ o unds they are unable to meet their required

     bud.et" unable to pay !arious ta2es and also unable to obtain subsidy rom the .o!ernment#

    =ence the study re!ealed that Finance is the maEor actor which these sectors are acin. with#

    The second hi.hest problem aced by these enterprises is relatin. to power# It is deri!ed in actor 

    5 which is ran+ed has the second position# The !ariable deri!ed in this actor is hi.h cost o 

    alternati!e power# The use o alternati!e power arises since there is acute power cut" power 

    holiday and hi.h consumption o power# All these three !ariables are deri!ed in actor :# This

    shows that all the !ariables relatin. to power are clustered in actor : and actor 5# It means that

    *S*7s are acin. serious problem relatin. to power" which is in turn aectin. their production#

    The third hi.hest problem aced by these enterprises is relatin. to labor# It is deri!ed in actor ;

    which is ran+ed '# The !ariables deri!ed in this actor are hi.h cost o s+illed labor" non3

    a!ailability o s+illed labor and requent absenteeism o labor# All these three !ariables are

    representin. the problem relatin. to labor# =ence it is pro!ed that *S*7s are acin. problems

    relatin. to labor" which in turn aects their production#

    Factor ' is ran+ed as ;th# The !ariables deri!ed in this actor are problems relatin. to .rant o 

    loan" documentation" allowin. credit to customers and more idle time spent by the labor# The

    irst three !ariables are representin. the inance problems and the ourth is representin. the labor 

     problem# It shows that actor ' also is relatin. to inance and labor problems#

    Factor 0 is ran+ed as 1th position# The !ariables deri!ed in this actor are shorta.e o Raw

    *aterial" Increase in orderin. cost and problem in stora.e o Raw *aterial# This shows that the

    ourth problems aced by these enterprises are relatin. to Raw *aterial" which in turn aects the

     production#

    Factor 1 is ran+ed as 4th position# The !ariables deri!ed in this actor are hi.h cost o Raw

    *aterial and Non3a!ailability o *achinery# The irst !ariable is representin. the problem

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    relatin. to Raw *aterial and the second !ariable is representin. the problem relatin. to

    technolo.y# The technolo.y problem also aects the production#

    Factor 4 is ran+ed as 5th position# The !ariable deri!ed in this actor is problem or claimin.

    Input ta2 credit# This !ariable is also representin. the problem relatin. to ianc#

    Factor & is ran+ed as &th position# The !ariable deri!ed in this actor is Re.istration# This !ariable

    is the only !ariable which is representin. the problem relatin. to pre3commencement o business#

    From the abo!e indin.s it can be concluded that thou.h the researcher has conducted a study on

    i!e areas o problems namely" inance" production" mar+etin." mana.ement and pre3

    commencement o business# The results pro!ed that the *S*7s in 8isa+hapatnam district are

    acin. to maEor problems# %# Relatin. to Finance and :# Relatin. to 9roduction# In 9roduction

    the maEor problem aced by them are relatin. to power and ne2t is relatin. to labor and then

    comes the problems relatin. to Raw *aterial and a minor problem relatin. to technolo.y# The

    other three problems o the study are not disclosed in the analysis# It means that *S*7s are not

    acin. any problem relatin. to mar+etin." mana.ement and pre3commencement o business# So

    Finance is the maEor problems and ne2t is the 9roduction problems# In production the maEor 

     problem aced by these enterprises is relatin. to power and then comes the problem o labor and

    the then the problem o raw material#