What Egyptian Workers Want -V 9.0

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    What EgyptianWorkers Want?ESLSCA 43-E

    HR MANAGEMENT

    DR. HESHAM SADEK

    GROUP B

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    Team Members

    Mahmoud El Mahdy

    Mohamed Abou ElGheit

    Mohamed Farid

    Mohamed Sami Mohammed Yehia

    Omnia Ibrahim

    Wael Abd ElSattar

    Walid !ohair

    "

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    Agenda

    Project Stages

    Project Plan

    Literature Review

    Operational Definitions Data Analysis

    Conclusion & recommendations

    3

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    Project Stages#$ First Sur%ey (Convenience Sample 135 subjects),

    "$ &iterature 'e%ie(,

    )$ Operational *e+initions,

    -$ Se.ond Sur%ey (Panel),

    /$ *ata Analysis (Descriptive analysis, data visualization and o!ical

    "easonin!),

    0$ 1on.lusion and 'e.ommendations,

    4

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    Project Progress 5

    2014

    Jun Jul Aug Sep 2014

    Results

    9/1/2014

    D. Analysis

    8/27/2014

    Lit. Review

    8/20/2014

    2nd Survey

    8/16/2014

    1st Survey

    8/1/2014

    6/1/2014 - 8/19/2014 Literature Review

    8/27/2014 - 8/30/2014 Logical reasoning

    8/19/2014 - 8/26/2014 Data analysis

    8/16/2014 - 8/18/2014

    Panel focus group

    sessions

    7/15/2014 - 8/15/2014Panel forulation !

    preparation

    7/15/2014 - 8/15/2014 "perational definitions

    6/1/2014 - 7/31/2014"ffline data collection #

    first survey

    6/1/2014 - 7/31/2014"nline data collection #

    first survey

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    Literature Review17 PAPERS SELECTED

    OT O! TOTAL 4" PAPERS RE#$E%ED

    &

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    Artic'es List

    Papers Author Papers Author

    Araham !aslow Chris "oseph Appreciate to !otivate #d Sy$esCarrot and Stic$ "eremy %entham ow Can Low 'ages Affect

    #mployees in an Organi(ation)Ruth !ayhew

    !otivation*ygiene +heory ,rederic$er(erg

    ow Do #mployees -et !otivated yPromotions)

    Dennis Hartman

    .nstinct +heory of !otivation 'illiam "ames Appreciation !otivates #mployees +o'or$ arder/ Study Says/ %usiness0ews Daily

    Chad %roo$s

    +heories of motivation 1endra Cherry 'hat motivates #gyptian .S managersand personnel

    Omar #2 !2 1halil3445 article

    ow the !ost Successful People!otivate +hemselves

    Paul rown +he #gyptian 'or$er6 'or$ %eliefs andAttitudes7 "ournal of %usiness #thics7

    Sidani/ 82/ and"amali/ D2 9:;3;

    #gyptian "o

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    Motivation Theories

    Hierarchy of Needs

    Carrot and Stick

    Incentives and fears

    Motivation-Hygiene Theory Management must look for ways to provide job enrichment for workers(

    )

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    Egyptian articles

    *easuring +o, -ua'it. in Eg./t

    T0e Eg./tian %orer2 %or e'ies and Attitudes

    %0at otivates Eg./tian anagers and /ersonne'

    1( $ncoe securit.2 deined in ters o 0aving an ade6uate incoe access tosocia' insurance and access to edica' care(

    8( E/'o.ent securit.2 deined in ters o e/'o.ent regu'arit. /resence oa 'ega' e/'o.ent contract /aid sic 'eave and /aid annua' 'eave(

    3( #oice re/resentation securit.2 deined in ters o ,eing a e,er o a tradeunion or /roessiona' s.ndicate(

    4( %or securit.2 deined in ters o 0aving ade6uate woring 0ours decentwor/'ace and reasona,'e couting distance to wor

    5( 9uanist:,e'ie s.ste

    ;

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    Pre'iinar. o,servation

    Accordingly we hypothesize the following for Egyptian workers: umanistic beliefs will be rated the strongest compared to all other

    belief dimensions!

    Most of researches about Egyptian employees used to talk about

    security even if talking about material or physical benefits!

    "omen are more humanistic compared to Egyptian men!

    #lder respondents will display less humanistic beliefs compared

    with young others!

    1"

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    O/erationa'Deinitions#AR$ALES A

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    18

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    $nteresting

    wor

    C0a''enges

    ig Picture

    13Tactu' Disci/'ine

    A//ro/riate

    disci/'ining S.ste

    CCT#

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    =ood woring

    conditions

    P0.sica' woringconditions

    Re'ations0i/ wit0t0e sta

    14+o, securit.

    Ar,itrar. terination

    E/'o.ee

    /erorance Adjustent

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    eing inc'uded

    Counication

    $n/ut to ,econsidered

    15S./at0etic 0e'/

    Rewarding,esides nora'incoe

    %or 'ie ,a'ance

    Retireent /'ans

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    Rewards

    A//reciationAccessi,i'it.

    1&A//reciation

    o %or

    Prootion

    Co/ensation

    $/roved +o,E>/erience

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    Lo.a't. To

    E/'o.ee

    17

    Lo.a't. to e/'o.ee

    E/'o.ee satisaction

    Career deve'o/ent

    =ood %ages

    Lo.a't. toe/'o.ee

    Co/ara,i'it.

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    Pane' : -uestionnaire 1)

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    Data Ana'.sis

    1;

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    Data Ana'.sis

    Analysis !ethodology

    0ote aout Sampling

    Calculations6 'eighted Score

    Results6

    %eig0ted Average

    Structured Surve.

    Age Preerences

    A'' Tie data ?C'ustered #iew@

    Regression

    Corre'ation

    8"

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    Data Ana'.sis 81

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    Data Sa/'ing 88

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    Data Ana'.sis (Weighted Score) 83

    Tota's2Surve.2 135Pane'2 1"

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    Structured Surve. 84

    nder 3" 35

    8&B

    31 : 4" 4533B

    41 : 5" 3"

    88B

    Over 5" 85

    1;B

    Partici/ants

    nder 3" 31 : 4" 41 : 5" Over 5"

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    Data Ana'.sis (All Time Data Clustered View) 85

    A//reciation o%or eing $nc'uded =ood %ages =ood %orConditions $nteresting%or +o, Securit. Lo.a't. toE/'o.ees Prootion =rowt0 S./at0etic9e'/ Tactu'Disci/'ine

    Over 5" 7(17 3(17 5 5(5 4()3 &()3 4(5 3(7& &(5 7()3

    41 : 5" 5 ) 5(8 3(8 8(4 ;() )(& 3(& 4(5 4(7

    31 : 4" 4(&1 7(43 )(81 4("4 3(3& &(38 4(4& 7(&4 4(1) 4(75

    nder 3" 5(7& 4(43 ;(1; 4("5 7(7& 4(&7 4(7& 7(3) 3(1 3(;

    "

    5

    1"

    15

    8"

    85

    3"

    %0at Eg./tian %orer %ant

    nder 3" 31 : 4" 41 : 5" Over 5"

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    Data Ana'.sis (Regression Analysis) 8&$"$ALS

    10

    9

    8

    7

    6

    5

    4

    3

    2

    1

    RA%&

    '%(

    J") SA$'S*A+$'"% +R'$,R'A

    1.InterestingWork

    3.BeingIncluded

    2.Apprecitiono!Work

    5."oodWges

    4.#o$%ecurit&

    6.'ro(otion)"ro*t+

    !

    7."oodWork,onditions

    "

    #

    8.-o&lt&to.(plo&ees

    $%

    9./ct!ul0iscipline

    &'

    10.%&(pt+etic1elp

    "(

    #&)

    21

    28

    5

    5

    59

    2. 30

    *+* ,!

    31 - 40

    -*+*

    6. 50

    (

    41 - 50

    -)'

    ,

    LEGEND

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    Data Ana'.sis (Clustered View) 87

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    Conc'usion

    Recoendations !art0er Studies

    8)

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    Conc'usion 8;

    nder 3" 31 : 4" 41 : 5" Over 5"A//reciation o %or 7 5 & ;

    eing $nc'uded 4 ) ) 1

    =ood %ages 1" 1" 7 5

    =ood %or Conditions 3 8 8 &$nteresting %or ; 1 1 4

    +o, Securit. 5 7 1" )

    Lo.a't. to E/'o.ees & 4 ; 3

    Prootion =rowt0 ) ; 3 8S./at0etic 9e'/ 1 3 4 7

    Tactu' Disci/'ine 8 & 5 1"

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    Recoendations

    +o sustain capale wor$force your R! function must retain the elowpreferences6

    3"

    =nder >;6

    =ood %ages

    $nteresting %or

    Prootion =rowt0

    A//reciation o %or

    >3 ? @;6

    =ood %ages

    Prootion =rowt0

    eing $nc'uded

    +o, Securit.

    @3 ? ;6

    +o, Securit.

    E/'o.ee Lo.a't. eing $nc'uded

    =ood %ages

    Over ;6

    Tactu' Disci/'ine A//reciation o %or

    +o, Securit.

    S./at0etic 9e'/

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    Recoendations

    ,urther studies can aim toward6

    Research the actual population/#nhance the sampling/ decrease

    the error levelClarifying the correlation or

    causality of the variales/

    31

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    An. -uestions

    T9A