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7/25/2019 E Recruitment Ppt http://slidepdf.com/reader/full/e-recruitment-ppt 1/14 A STUDY ON E-RECRUITMENT IN HR CONSULTANTS WITH SPECIAL REFERANCE TO MAGNES MANAGEMENT CONSULTANTS By Latha Priyadharshini.A

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A STUDY ON E-RECRUITMENT IN HR

CONSULTANTS WITH SPECIAL REFERANCE TO

MAGNES MANAGEMENT CONSULTANTS

By

Latha Priyadharshini.A

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International Scenario

•   a!"s O. M#$ins"y "sta%&ish"d M#$ins"y 'C(!)any* th" +irst ",#&si" !ana/"!"nt

and strat"/y #(ns&tan#y-0123 -th" )ra#ti#" (+ hirin/ %sin"ss-s#h((& /radat"s

• C(ns&tin/ +ir!s )&ay"d a si/ni+i#ant r(&" drin/ th" Gr"at D")r"ssi(n in th" 0145s at

th" )"ri(d (+ 6(r&d 6ar II

• Th" #(ns&tin/ indstry* in 2507* r"#(rd"d r""n"s (+ n"ar&y 8709 %i&&i(n 6(r&d6id"

Indian Scenario

  In India* a+t"r th" &i%"ra&isati(n (+ th" "#(n(!y* #(ns&tants 6"r" hir"d %y Indian

#(!)ani"s that 6ant"d t( ",)and th"ir ()"rati(ns a%r(ad. N(6* Indian #(ns&tants*

 )arti#&ar&y th(s" in th" IT 6(r&d* ar" !(st s(/ht a+t"r* n(t (n&y in India %t a&s( %y

6(r&d )(6"rs* +(r d""&()in/ th"ir /&(%a& %sin"ss"s.

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Company Profile

Magnes Management Consultants

•  ISO 9000:2008 Certified organization Incorporated in the year 2013

Core Activity

• ecr!itment"

• #emporary $taffing

• % $ol!tion$

 Magnes Academy

• #raining in % ecr!iting and &!$ine$$ 'e(elopment

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e(ie) of *iterat!re

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OBJECTIVES

 

• T( stdy th" E-R"#rit!"nt )r(#"ss in Ma/n"s Mana/"!"nt C(ns&tants.

• T( an&ysin/ th" Fa#t(r in+&"n#in/ th" "++"#ti"n"ss (+ E-R"#rit!"nt.

• T( (++"r th" s//"ssi(n %as"d (n th" stdy.

LIMITATIONS

• Th" stdy is ti!"%(nd* and !ay n(t %" a))&i#a%&" a+t"r th" )assa/" (+ ti!".

• Th" (r/ani:ati(n +(&&(6s (th"r ty)" (+ r"#rit!"nt.

Scope of the study

  Th" stdy is !ad" t( ana&ys" th" "++"#ti"n"ss (+ "-r"#rit!"nt. Th" stdy

!"asr"s +a#t(rs &i;" #(st sain/* ti!" sain/* <a&i+i"d #andidat"s* r"#rit!"nt #(st.

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R"s"ar#h M"th(d(&(/y

• DESCRIPTIVE RESEARCH

  D"s#ri)ti" r"s"ar#h in#&d"s sr"ys and a +a#t +indin/ "n<ir"s

• DATA COLLECTION

1.Pr!"ry d"t" - #(&&"#t"d +(r th" +irst ti!"* thr(/h

<"sti(nnair".

  -C(!)&"t" En!"rati(n !"th(d

  #.Seco$d"ry d"t" - #(&&"#t"d %y s(!"(n" "&s" and a&r"ady

s"d* #(&&"#t"d +r(! %((;s and 6"%sit"s

• POP%LATION - Th" )()&ati(n (+ th" #(n#"rn is 45

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#OO*S +S,' -O ./.*SIS

1 Percentage analy$i$ method

2 arrett aning

3 Correlation

4 egre$$ion

5 Chi6$7!are

eighted .(erage

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Gender Age Education Designation

Male 30 20-25 46.6 School - Eecuti!e "6."

#e$ale "0 25-30 40 Di%lo$a - &ea$'eader

(6."

30-35 6." )G 26." Manager 6.6

35-40 3.3 *G "3.3 &ellecallerA+o!e40

3.3 *h.D - Ad$in

A,A'SS / ,&E*E&A&1,

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Recrut!e$t &e'stes R"$(

 Na;ri I

Shin" II

Ma/n"s (%s III

M(nst"r  V

Lin;"dIn IV

R"$( )"ctors $f*ue$c$+ E-Recrut!e$t

1 R"d#ti(n in r"#rit!"nt #(st

# C(st sain/ than n"6s )a)"r Ads

, =a&i+i"d Candidat"s

Ti!"sain/ in #(&&"#tin/ th" <a&ity (+ r"s!"

In#r"as" in )"r+(r!an#" (+ th" (r/ani:ati(n

/ R"d#ti(n in "!)&(y!"nt trn("r 

Garrett Ranking

eig!ted Average

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Strongly agree

 .gree

/e!tral

'i$agree

Strongly 'i$agree

3

333

30

E"recruitment As A Cor#orate Image

 

$%&

'&

()&

*%&

+ey limiting ,actor o, e"recruitment

C!lt!ral approach lac of no)ledge

Internet !$age C; o(er flo)

Commitment of $enior mgt

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y%othesis  Corre*"to$ 'et0ee$ *"r+e poo* of c"$dd"tes throu+h e-recrut!e$t "$d perfor!"$ce of the

or+"$"to$

• H2 3 th"r" is n( r"&ati(nshi) %"t6""n &ar/" )((& (+ #andidat" and )"r+(r!an#" (+ th" (r/ani:ati(n

• H13 th"r" is r"&ati(nshi) %"t6""n &ar/" )((& (+ #andidat" and )"r+(r!an#" (+ th" (r/ani:ati(n

  Ch S4u"re 5 Co!p"rso$ 'et0ee$ t!e s"6$+ to co**ect 4u"*ty resu!e "$d the 7u"*ty of the

c"$dd"te

• H( > Th"r" is n( r"&ati(nshi) %"t6""n ti!" sain/ t( #(&&"#t <a&ity r"s!" and th" =a&ity (+ th"

#andidat"

• H0 - Th"r" is r"&ati(nshi) %"t6""n ti!" sain/ t( #(&&"#t <a&ity r"s!" and th" =a&ity (+ th"

#andidat"

  Re+resso$ Co!p"rso$ 'et0ee$ corpor"te !"+e for e-recrut!e$t "$d the *"r+e poo* of

c"$dd"tes co**ected throu+h e-recrut!e$t

• H( > Th"r" is n( r"&ati(nshi) %"t6""n #(r)(rat" i!a/" +(r "-r"#rit!"nt and th" &ar/" )((& (+

#andidat"s #(&&"#t"d thr(/h "-r"#rit!"nt

• H0 - Th"r" is r"&ati(nshi) %"t6""n #(r)(rat" i!a/" +(r "-r"#rit!"nt and th" &ar/" )((& (+ #andidat"s

#(&&"#t"d thr(/h "-r"#rit!"nt

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-inding$

• It )a$ fo!nd that 0< of the re$pondent$ )ere female

• It )a$ o=$er(ed that 4< of the re$pondent$ fall !nder age category 20625

• It )a$ fo!nd that 33< of the re$pondent$ had completed their P

• < of the re$pondent$ )ere ,>ec!ti(e$

• It )a$ fo!nd that 4 < of the re$pondent$ agreed that e6recr!itment effecti(e than

old traditional method

• 3< re$pondent$ agreed that e6recr!itment create corporate image for the

organization

• It )a$ o=$er(ed that 33< of the ?ey limiting factor$ of e6recr!itment )ere C; o(er

flo)@ e$pecially tho$e not match )ith Ao= profile

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GARETT RA-+-G.

  aned fir$t /a!ri" $econd ran and third ran are gi(en Shine" Bagne$ o=$ and fo!rth"

fifth to *inedIn and Bon$ter

REGRESSIO-

  #he corporate image $ho)$ the $ignificant relation )ith the large pool of candidate$ recr!ited

thro!gh e6recr!itment

CORRE/ATIO-

  #he n!ll hypothe$i$ accepted and concl!de that no relation$hip =et)een large pool of

candidate recr!ited thro!gh e6recr!itment and performance of the organization

C0I S12ARE.

  #here i$ a relation$hip =et)een time $a(ing in collecting the 7!ality re$!me and the D!ality of

the candidate

EIG0TE3 AVERAGE

  #he highe$t raned factor infl!encing e6recr!itment i$ ed!ction in ecr!itment co$t and

ed!ction in employment t!rno(er raned th 

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S!gge$tion E Concl!$ion

Suggestion

• Bonthly analy$i$ of thi$ proce$$ =e made lie ho) gen!ine are the profile" ho) many

candidate$ ha(e =een placed

• ,6recr!itment m!ltiple le(el of $ec!rity to a(oid d!plication" and gen!ine profile$

• ;ery $ec!red online chat i$ ad(i$a=le for the recr!iter$ and the candidate$ for

handling en7!irie$

Conclusion