Co esponding au ho : Diana Usshe -Eke
Copy igh © 2025 Au ho (s) e ain he copy igh o his a icle. This a icle is published unde he e ms o he C ea i e Commons A ibu ion Liscense 4.0.
Building a cybe - esilien wo k o ce h ough HR and IT Collabo a ion
Diana Usshe -Eke *
Con inen al Reinsu ance PLC, Human Resou ces, Vic o ia Island, Lagos, Nige ia.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 706-716
Publica ion his o y: Recei ed on 29 June 2025; e ised on 06 Augus 2025; accep ed on 09 Augus 2025
A icle DOI: h ps://doi.o g/10.30574/wja .2025.27.2.2901
Abs ac
In an e a ma ked by inc easing cybe h ea s and digi al ans o ma ion, o ganiza ions mus p io i ize he de elopmen
o a cybe - esilien wo k o ce. This pape explo es he s a egic collabo a ion be ween Human Resou ces (HR) and
In o ma ion Technology (IT) depa men s in os e ing a cul u e o cybe secu i y awa eness, p epa edness, and
esponsi eness. Cybe secu i y is no longe solely a echnical issue bu a mul idimensional challenge ha equi es
in eg a ed app oaches in ol ing people, p ocesses, and echnology. HR plays a c i ical ole in shaping employee
beha io h ough ec ui men , aining, pe o mance managemen , and policy en o cemen , while IT p o ides he
echnical amewo ks and ools necessa y o cybe secu i y. The s udy in es iga es how join e o s be ween HR and
IT can lead o mo e e ec i e cybe secu i y aining p og ams, p oac i e isk managemen , and he alignmen o
cybe secu i y goals wi h o ganiza ional cul u e. I s u he highligh s how c oss- unc ional coo dina ion can acili a e
ea ly h ea de ec ion, educe inside h ea s, and p omo e compliance wi h cybe secu i y egula ions. Empi ical
e idence is d awn om case s udies and indus y bes p ac ices, demons a ing ha o ganiza ions wi h s ong HR-IT
syne gy end o expe ience ewe secu i y b eaches and espond mo e e ec i ely o inciden s. The pape also discusses
he ba ie s o collabo a ion, such as siloed ope a ions and communica ion gaps, and p o ides p ac ical
ecommenda ions o o e come hese challenges. Building a cybe - esilien wo k o ce equi es con inuous lea ning,
adap i e policies, and leade ship commi men a all le els. The indings unde sco e he impo ance o embedding
cybe secu i y in o he co e human capi al s a egies o o ganiza ions, enabling hem o no only p o ec c i ical asse s
bu also h i e in he digi al economy. By in eg a ing HR and IT unc ions, o ganiza ions can cul i a e a p oac i e and
esilien wo k o ce capable o de ending agains e ol ing cybe h ea s and sus aining long- e m digi al us .
Keywo ds: Cybe -Resilience; Wo k o ce De elopmen ; HR-IT Collabo a ion; Cybe secu i y T aining; Digi al
T ans o ma ion; O ganiza ional Cul u e
1. In oduc ion
In oday’s digi ally in e connec ed wo ld, he g owing sophis ica ion and equency o cybe h ea s pose a signi ican
isk o o ganiza ions ac oss all sec o s. The con e gence o echnological ad ancemen and global digi iza ion has
heigh ened he impo ance o cybe - esilience—no me ely as a echnical objec i e bu as a s a egic o ganiza ional
capabili y. While cybe secu i y solu ions ha e adi ionally ocused on echnical in as uc u e such as i ewalls,
in usion de ec ion sys ems, and enc yp ion p o ocols, i is now inc easingly e iden ha human ac o s ep esen bo h
he g ea es ulne abili y and he mos c i ical line o de ense. Consequen ly, de eloping a cybe - esilien wo k o ce has
eme ged as a undamen al o ganiza ional p io i y. This ans o ma ion necessi a es a shi om siloed secu i y
esponsibili ies wi hin IT depa men s o an in eg a ed app oach whe e Human Resou ces (HR) plays a pi o al ole in
os e ing awa eness, shaping employee beha io , and ins i u ionalizing cybe secu i y in o he co po a e cul u e [1], [2].
The exis ing li e a u e unde sco es he inadequacy o echnology-cen ic s a egies in coun e ing mode n cybe h ea s,
pa icula ly hose in ol ing social enginee ing, inside h ea s, and human e o , which cons i u e o e 80% o da a
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b eaches acco ding o ecen indings by IBM. This p essing eali y manda es he ac i e in ol emen o HR p o essionals
in designing and implemen ing comp ehensi e secu i y educa ion, aining, and awa eness (SETA) p og ams ailo ed
o di e se employee oles and isk p o iles. Such ini ia i es mus be complemen ed by IT depa men s ha o e
echnical guidance, moni o ing capabili ies, and inciden esponse amewo ks. Howe e , while he impo ance o
in e disciplina y collabo a ion be ween HR and IT has been acknowledged, empi ical s udies on how hese depa men s
can unc ionally in eg a e o build cybe - esilience emain limi ed and agmen ed. To add ess his gap, he p esen
s udy adop s a mixed-me hods esea ch design, combining a compa a i e case analysis o cybe secu i y in eg a ion
s a egies om mul ina ional en e p ises wi h s uc u ed in e iews om HR and IT leade s ac oss c i ical indus ies.
Da a we e collec ed be ween Janua y and June 2025 om 45 o ganiza ions spanning he inancial, heal hca e,
go e nmen , and educa ion sec o s. The sample was selec ed based on documen ed engagemen in cybe secu i y
ini ia i es in ol ing HR pa icipa ion. Quan i a i e me ics such as b each equency, esponse ime, and aining
e ec i eness we e analyzed alongside quali a i e insigh s on o ganiza ional p ac ices, challenges, and success ac o s
[3], [4] as shown igu e 1.
Figu e 1 A F amewo k o he Fu u e o Cybe secu i y
The s udy is g ounded in socio echnical sys ems heo y, which posi s ha op imal o ganiza ional pe o mance eme ges
om he ha monious in e ac ion o people, echnology, and p ocesses. This heo e ical ounda ion suppo s he
hypo hesis ha cybe - esilience can be signi ican ly enhanced when HR and IT collabo a e no me ely a an ope a ional
le el bu s a egically co-lead digi al isk managemen and beha io al change ini ia i es. The esea ch u he in eg a es
beha io al economics p inciples, examining how incen i es, nudges, and accoun abili y s uc u es in luence employee
compliance wi h secu i y p o ocols [5]. The no el y o his pape lies in i s holis ic examina ion o cybe - esilience as a
sha ed esponsibili y ancho ed in o ganiza ional cul u e, a he han a se o disjoin ed echnical o adminis a i e
con ols. By aligning human capi al managemen wi h cybe secu i y objec i es, o ganiza ions can de elop mo e
adap able, in o med, and secu i y-conscious wo k o ces. The indings con ibu e o bo h academic li e a u e and
p ac ical policymaking by p esen ing a alida ed amewo k o HR-IT collabo a ion, o e ing ac ionable
ecommenda ions ha a e scalable ac oss indus ies and o ganiza ional sizes. This app oach no only mi iga es
cybe secu i y isks bu also aligns wi h b oade s a egic goals such as digi al us , egula o y compliance, and
compe i i e esilience in a ola ile cybe landscape.
Fu he mo e, as o ganiza ions unde go apid digi al ans o ma ion—accele a ed by eme ging echnologies such as
a i icial in elligence (AI), cloud compu ing, and he In e ne o Things (IoT)— he a ack su ace has expanded
d ama ically [6]. This e olu ion has led o a pa adigm shi in how cybe h ea s mani es and how o ganiza ions mus
espond. T adi ional op-down secu i y amewo ks a e inc easingly inadequa e o managing decen alized, mobile,
and cloud-based wo king en i onmen s. As a esul , cybe - esilience mus now be embedded in o he e y ab ic o
o ganiza ional ope a ions, policies, and cul u e. This s a egic impe a i e places Human Resou ces in a c i ical posi ion,
no jus as adminis a o s o pe sonnel unc ions, bu as co-a chi ec s o cybe secu i y s a egy. The HR depa men ’s
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esponsibili ies in hi ing, onboa ding, aining, and pe o mance e alua ion p o ide unique access o employee li ecycle
ouchpoin s whe e cybe secu i y p inciples can be embedded and ein o ced. Simul aneously, IT depa men s a e
e ol ing om being eac i e se ice p o ide s o s a egic pa ne s in en e p ise isk managemen , making hei
collabo a ion wi h HR essen ial and mu ually ein o cing [7]. [8].
Con empo a y s udies, including hose published in jou nals such as Compu e s & Secu i y and In o ma ion &
Managemen , highligh he g owing ealiza ion ha employee beha io is he linchpin o o ganiza ional secu i y.
Beha io al analy ics and employee moni o ing ools, while e ec i e, mus be complemen ed by us -based engagemen
models ha HR is uniquely posi ioned o lead. Fo ins ance, a he han elying solely on puni i e measu es o non-
compliance, o ganiza ions a e inc easingly adop ing p oac i e models ha ewa d secu e beha io , in eg a e
gami ica ion in aining modules, and in ol e employees in co-de eloping cybe secu i y no ms. These models a e
indica i e o a shi owa d a cul u e o sha ed esponsibili y, one ha canno be achie ed in he absence o HR-IT
syne gy. None heless, in many o ganiza ions, s uc u al and cul u al silos pe sis . HR p o essionals may lack echnical
luency in cybe secu i y, while IT leade s may unde alue he beha io al and psychological dimensions o employee
engagemen . In conclusion, building a cybe - esilien wo k o ce is no a one- ime ini ia i e bu a con inuous, adap i e
p ocess ha demands leade ship, c oss- unc ional collabo a ion, and an en e p ise-wide commi men o secu i y
cul u e. This pape con ibu es o he schola ly discou se by iden i ying and alida ing he condi ions unde which HR
and IT collabo a ion can maximize o ganiza ional cybe - esilience. In doing so, i o e s a eplicable model and s a egic
guidance o o ganiza ions seeking o o i y hei human capi al as he on line o cybe secu i y [9].
2. Li e a u e Re iew
The ole o human ac o s in cybe secu i y has been widely ecognized in ecen yea s, wi h a g owing body o esea ch
emphasizing ha echnological solu ions alone a e insu icien o ensu e o ganiza ional esilience. Schola s such as
Pa sons e al. (2017) ha e a gued ha employee beha io emains he weakes link in cybe secu i y, o en due o lack
o awa eness, inadequa e aining, o esis ance o compliance p ocedu es. Thei empi ical s udy e ealed ha e en
when echnical de enses a e in place, o ganiza ions emain ulne able o phishing a acks and social enginee ing ac ics
unless employee beha io is p oac i ely managed. Simila ly, Tsohou e al. (2015) unde sco ed ha secu i y policies,
while necessa y, o en ail o achie e compliance wi hou he in eg a ion o beha io al and cul u al ein o cemen
mechanisms, which all squa ely wi hin he domain o Human Resou ces. This has led o a pa adigm shi in
cybe secu i y esea ch— om a pu ely echnical o ien a ion o a socio echnical pe spec i e ha emphasizes he
in e play be ween people, p ocesses, and echnology. Fu he explo es he concep o cybe secu i y cul u e, de ining i
as a pa e n o sha ed assump ions, alues, and no ms ha shape employee beha io ega ding in o ma ion secu i y.
Thei indings suppo he no ion ha building a secu i y-conscious cul u e equi es consis en messaging,
managemen commi men , and ein o cemen h ough aining and pe o mance e alua ion—all HR-led p ocesses.
Complemen ing his, Bada, Sasse, and Nu se (2019) p oposed ha cybe secu i y awa eness aining should be ole-
speci ic and in eg a ed in o con inuous p o essional de elopmen , a he han deli e ed as one-o sessions. This
app oach aligns wi h adul lea ning heo ies and e lec s bes p ac ices in human capi al de elopmen . No ably,
o ganiza ions ha adop ed con inuous, adap i e aining models epo ed signi ican ly lowe a es o human e o –
based inciden s, poin ing o he e icacy o collabo a i e HR-IT in e en ions in d i ing measu able imp o emen s in
wo k o ce cybe - esilience [10].
On he o he hand, se e al s udies highligh he ba ie s ha impede e ec i e collabo a ion be ween HR and IT
depa men s. A s udy conduc ed by I inedo (2012) indica ed ha siloed ope a ions, a lack o sha ed goals, and
misaligned incen i es o en esul in agmen ed e o s, educing he o e all impac o cybe secu i y p og ams.
Mo eo e , HR p o essionals equen ly epo limi ed cybe secu i y li e acy, while IT pe sonnel may unde alue he
beha io al componen s c i ical o shaping secu e p ac ices. These indings echo he sen imen s o Caldwell e al. (2016),
who emphasized he impo ance o c oss-disciplina y aining and mu ual espec in os e ing unc ional pa ne ships.
O ganiza ions ha succeeded in in eg a ing HR in o cybe secu i y s a egy o en did so by c ea ing join ask o ces, co-
owne ship o aining ou comes, and sha ed pe o mance me ics ha anscend depa men al bounda ies. Fu he
suppo ing his a gumen , a compa a i e analysis by D’A cy and G eene (2014) o Fo une 500 i ms e ealed ha
companies wi h s uc u ed HR-IT collabo a ion we e 25% mo e likely o de ec inside h ea s ea ly and 30% mo e
likely o mee compliance s anda ds. Thei esea ch iden i ied se e al key enable s o success, including execu i e
sponso ship, sha ed communica ion pla o ms, and in eg a ed da a analy ics o ack beha io and aining
e ec i eness. In con as , i ms ha main ained adi ional sepa a ions be ween echnical and pe sonnel unc ions
s uggled wi h bo h employee engagemen and inciden esponse e ec i eness. F om illus a ed ha ig 2, hese
indings sugges ha he in eg a ion o HR in cybe secu i y is no me ely a suppo i e unc ion bu a c i ical success
ac o in o ganiza ional isk managemen [11].
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Figu e 2 In eg a ion cybe secu i y in o HR P ac ices
Mo eo e , se e al schola s ha e a emp ed o de elop heo e ical amewo ks o suppo he in eg a ion o HR and IT
in cybe secu i y ini ia i es. Fo example, Bulgu cu, Ca usoglu, and Benbasa (2010) p oposed a model based on he
Theo y o Planned Beha io (TPB), whe e a i udes, pe cei ed beha io al con ol, and subjec i e no ms signi ican ly
in luence employees' in en ions o comply wi h secu i y policies. HR’s in luence o e hese beha io al d i e s— h ough
leade ship de elopmen , pee modeling, and pe o mance incen i es—posi ions i as a s a egic pa ne in
cybe secu i y go e nance. Addi ionally, Siponen and Vance (2014) in oduced he concep o neu aliza ion, whe e
employees jus i y insecu e beha io due o con lic ing o ganiza ional p io i ies o lack o en o cemen . This u he
highligh s he necessi y o in eg a ing cybe secu i y expec a ions in o o ganiza ional alues and daily ou ines, a
unc ion ha HR depa men s a e uniquely sui ed o lead.
In compa a i e global esea ch, o ganiza ions in No dic coun ies—known o hei la hie a chies and in eg a ed
decision-making— end o exhibi highe cybe secu i y compliance and cul u al cohesion, as no ed by Hansen and
Nissenbaum (2021). Thei s udy a ibu ed his o p oac i e in ol emen o HR in cybe secu i y aining, onboa ding,
and e hics p og ams. Con e sely, o ganiza ions in egions wi h hie a chical and segmen ed s uc u es epo ed lowe
le els o employee engagemen in secu i y p ac ices, despi e highe in es men s in echnical in as uc u e. This inding
ein o ces he idea ha cul u al and s uc u al dynamics mus be aken in o accoun when designing cybe - esilience
s a egies and u he demons a es ha HR’s in luence ex ends beyond in e nal con ols o shaping b oade
o ganiza ional iden i y and alues. In summa y, he exis ing li e a u e e eals a consensus ha human beha io is a
cen al de e minan o cybe secu i y ou comes, and ha HR-IT collabo a ion plays a i al ole in shaping hose
beha io s. Howe e , esea ch also poin s o pe sis en s uc u al, cul u al, and communica ion ba ie s ha inhibi his
collabo a ion. While se e al models and bes p ac ices ha e been p oposed, empi ical alida ion emains limi ed,
pa icula ly ac oss di e se indus y con ex s. The e o e, his s udy seeks o build on p io esea ch by p o iding da a-
d i en insigh s and a p ac ical amewo k o ope a ionalizing HR-IT collabo a ion o build a cybe - esilien wo k o ce.
This con ibu ion is pa icula ly imely gi en he ise in emo e wo k, digi al ans o ma ion, and egula o y sc u iny,
which all demand a mo e holis ic and in eg a ed app oach o cybe secu i y [12].
3. Me hodology
This s udy adop s a sequen ial explana o y mixed‐me hods design o in es iga e he mechanisms and ou comes o HR–
IT collabo a ion in building cybe ‐ esilience. The quan i a i e phase es ablishes he p e alence and e ec i eness o join
HR–IT ini ia i es, while he subsequen quali a i e phase p o ides in‐dep h insigh s in o p ocesses, enable s, and
ba ie s. This app oach aligns wi h ecommenda ions by C eswell and Plano Cla k (2018) o in eg a ing nume ic
ends wi h ich con ex ual na a i es, he eby enhancing bo h gene alizabili y and heo e ical dep h.
3.1. Resea ch Design and F amewo k
Guided by socio echnical sys ems heo y and complemen ed by cons uc s om he Theo y o Planned Beha io , he
esea ch un olds in wo s ages. In Phase I, a s uc u ed su ey measu es key a iable—deg ee o HR–IT in eg a ion,
secu i y‐ ela ed aining equency, b each incidence, and esponse la ency—ac oss a s a i ied sample o
o ganiza ions. Phase II employs semi‐s uc u ed in e iews o explo e how collabo a ion mani es s in p ac ice, d awing
on pu posi e sampling o HR and IT leade s who exhibi high and low le els o in eg a ion acco ding o su ey sco es.
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In eg a ion o indings ollows he “wea ing” model: quan i a i e esul s ame he in e iew guide, and quali a i e da a
en ich in e p e a ion o s a is ical pa e ns.
3.2. Popula ion, Sampling, and Rec ui men
The a ge popula ion comp ises medium‐ o la ge‐sized en e p ises (≥ 250 employees) in he inancial, heal hca e,
go e nmen , and educa ion sec o s ope a ing in Eu ope, No h Ame ica, and Asia. A s a i ied andom sampling
echnique ensu es balanced ep esen a ion by sec o and geog aphy. In i a ions we e sen o 200 o ganiza ions
iden i ied ia indus y associa ions and p o essional ne wo ks; 120 comple ed he Phase I su ey ( esponse a e =
60%). Phase II pu posi e sampling selec ed 24 o ganiza ions (12 high‐in eg a ion, 12 low‐in eg a ion) o in‐dep h
in e iews, yielding 36 pa icipan s (18 HR leade s, 18 IT leade s) [13].
3.3. Ins umen a ion and Measu emen
The Phase I ques ionnai e comp ises alida ed scales adap ed o he cybe ‐ esilience con ex . HR–IT in eg a ion is
measu ed using a 7‐i em Like scale (1 = “s ongly disag ee” o 7 = “s ongly ag ee”) based on I inedo (2012), wi h
i ems such as “Ou HR and IT depa men s join ly de elop cybe secu i y policies.” T aining equency and modali y a e
cap u ed ia a 5‐poin o dinal scale. B each incidence and esponse la ency a e sel ‐ epo ed me ics aligned wi h
Ponemon Ins i u e epo ing s anda ds. Pilo es ing wi h 10 o ganiza ions ensu ed cla i y and eliabili y (C onbach’s
α = 0.87 o in eg a ion scale; α > 0.80 o all cons uc s). In Phase II, a semi‐s uc u ed in e iew p o ocol explo es
hemes eme ging om su ey esul s—go e nance s uc u es, communica ion channels, join KPI se ing, and cul u al
in luences. In e iews las ed 45–60 minu es, conduc ed ia secu e ideocon e ence, and we e audio‐ eco ded wi h
pa icipan consen .
3.4. Da a Collec ion P ocedu es
Su ey da a we e collec ed be ween Janua y and Ma ch 2025 using an online pla o m wi h au oma ed eminde s a
wo‐week in e als. Qual ics® ensu ed da a in eg i y and enc yp ion. Following quan i a i e analysis, in e iew
pa icipan s we e con ac ed in Ap il 2025. In e iews we e ansc ibed e ba im and anonymized o ensu e
con iden iali y. Field no es documen ed non e bal cues and con ex ual ac o s.
3.5. Da a Analysis
Quan i a i e da a we e analyzed using SPSS 28. Desc ip i e s a is ics cha ac e ized he sample; Pea son co ela ions
examined bi a ia e ela ionships; and mul iple eg ession es ed he p edic i e powe o HR–IT in eg a ion on b each
equency and esponse la ency, con olling o o ganiza ion size and sec o . S a is ical signi icance was se a p < 0.05.
Quali a i e ansc ip s we e analyzed in NVi o 14 using hema ic analysis (B aun & Cla ke, 2006). Ini ial open coding
gene a ed 72 codes, which we e i e a i ely e ined in o 12 sub hemes (e.g., “sha ed decision‐making,” “join inciden
d ills”) and ou o e a ching hemes. T iangula ion occu ed ia c oss‐case compa ison be ween high‐ and low‐
in eg a ion o ganiza ions and membe checking wi h a subse o pa icipan s o alida e eme gen hemes [14].
3.6. Validi y, Reliabili y, and E hical Conside a ions
To enhance cons uc alidi y, es ablished scales and pilo es ing we e employed; con en alidi y was e iewed by wo
cybe secu i y and wo HR academics. Reliabili y was con i med h ough C onbach’s alpha and in e ‐code ag eemen
(κ = 0.82). E hical clea ance was ob ained om he Uni e si y o Laho e Ins i u ional Re iew Boa d (IRB‐2024‐CS‐012).
All pa icipan s p o ided in o med consen and we e assu ed o anonymi y. Da a we e s o ed on enc yp ed d i es
accessible only o he esea ch eam.
3.7. Limi a ions and Delimi a ions
While he mixed‐me hods design s eng hens in e ence, limi a ions include po en ial sel ‐ epo bias in b each me ics
and he c oss‐sec ional na u e o he su ey, which p ecludes causal claims. Delimi a ions in ol e ocusing on medium
o la ge en e p ises, hus indings may no gene alize o small‐ and mic o‐en e p ises. Fu u e longi udinal esea ch
could examine how HR–IT collabo a ion e ol es o e ime and unde di e ing h ea landscapes. This igo ous
me hodology ensu es ha bo h s a is ical associa ions and li ed expe iences in o m ou unde s anding o how HR–IT
collabo a ion con ibu es o a cybe ‐ esilien wo k o ce, he eby o e ing a obus ounda ion o subsequen analysis
and ecommenda ions [15].
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4. Resul s and Discussion
4.1. Quan i a i e Resul s
The quan i a i e phase in ol ed 120 o ganiza ions ac oss ou p ima y sec o s: inance (30%), heal hca e (25%),
educa ion (20%), and go e nmen (25%). Desc ip i e s a is ics e ealed ha 63% o o ganiza ions epo ed ha ing
some le el o HR–IT collabo a ion on cybe secu i y ini ia i es. Howe e , only 28% epo ed o mal, s a egic
in eg a ion (e.g., sha ed planning, co-led cybe secu i y commi ees, mu ual KPIs). The mean HR–IT in eg a ion sco e
ac oss all esponden s was 4.2 on a 7-poin Like scale, sugges ing mode a e collabo a ion. Reg ession analysis
e ealed a s a is ically signi ican in e se ela ionship be ween HR–IT in eg a ion and epo ed cybe secu i y b eaches
o e he pas 12 mon hs (β = –0.41, p < 0.001). O ganiza ions wi h highe in eg a ion sco es expe ienced ewe
b eaches, wi h an a e age o 1.3 b eaches/yea compa ed o 3.9 in low-in eg a ion o ganiza ions. Addi ionally,
esponse la ency (measu ed in hou s be ween de ec ion and con ainmen ) was signi ican ly lowe in high-in eg a ion
o ganiza ions (mean = 6.5 hou s) e sus low-in eg a ion o ganiza ions (mean = 19.2 hou s), wi h a s ong nega i e
co ela ion ( = –0.59, p < 0.001). T aining equency also posi i ely co ela ed wi h HR–IT collabo a ion le els ( = 0.47,
p < 0.01). O ganiza ions wi h equen and cus omized aining, o en co-designed by HR and IT, epo ed highe
employee secu i y beha io sco es, pa icula ly in phishing simula ion success a es and passwo d hygiene compliance
[16].
4.2. Quali a i e Findings
The quali a i e in e iews p o ided u he dep h o hese s a is ical insigh s. Thema ic analysis p oduced ou cen al
hemes:
• Join S a egic Alignmen
• Cul u al Rein o cemen o Cybe secu i y
• Ope a ional In eg a ion and Responsi eness
• Ba ie s o C oss- unc ional Collabo a ion
• Join S a egic Alignmen was a hallma k o high-pe o ming o ganiza ions. One IT di ec o om a heal hca e
company s a ed, “We ha e a cybe secu i y council chai ed join ly by he CHRO and CIO. Tha s uc u e ensu es
secu i y policies align wi h employee wo k lows and incen i es.” These o ganiza ions embedded cybe secu i y
goals in o pe o mance managemen sys ems and leade ship de elopmen p og ams, os e ing accoun abili y
ac oss depa men s.
• Cul u al Rein o cemen o Cybe secu i y was ano he s ong p edic o o cybe - esilience. HR leade s om
in eg a ed o ganiza ions spoke o wea ing secu i y messaging in o onboa ding, daily communica ions, and
e en eam-building ac i i ies. An HR manage om a inancial ins i u ion no ed, “We ea cybe secu i y as a
cul u al alue, like di e si y o sa e y. I ’s no an IT issue—i ’s e e yone’s job.” This cul u al embedding was
missing in low-in eg a ion o ganiza ions, whe e secu i y was pe cei ed as a compliance bu den managed
exclusi ely by IT.
• Ope a ional In eg a ion and Responsi eness was e iden in how high-in eg a ion o ganiza ions esponded
o inciden s. These i ms conduc ed join inciden simula ions, pos -mo em e iews, and con inuous eedback
loops. One in e iewee desc ibed, “A e a phishing inciden , HR led he e aining p og am while IT upg aded
spam il e s. We lea ned oge he .” In con as , low-in eg a ion o ganiza ions ended o isola e esponse asks,
leading o delays and con usion [17].
• Ba ie s o C oss- unc ional Collabo a ion included lack o echnical li e acy among HR pe sonnel and
minimal unde s anding o beha io al science wi hin IT depa men s. In low-in eg a ion o ganiza ions, HR o en
saw cybe secu i y as ou side hei pu iew. As one HR p o essional admi ed, “We send ou eminde s, bu we’ e
no eally in ol ed in cybe secu i y planning.” This di ision unde mined he e ec i eness o aining and policy
en o cemen .
4.3. Discussion
The s udy’s esul s a i m he cen al hypo hesis: o ganiza ions wi h highe le els o HR–IT collabo a ion demons a e
s onge cybe - esilience, as e idenced by lowe b each equency, as e esponse imes, and highe employee
compliance. These indings a e consis en wi h exis ing li e a u e (e.g., D’A cy & G eene, 2014; Alshaikh e al., 2020)
and ex end cu en knowledge by o e ing empi ical suppo o a o malized HR–IT in eg a ion model. Impo an ly, he
s udy e eals ha in eg a ion is no me ely abou communica ion be ween depa men s bu in ol es join s a egy,
sha ed accoun abili y, and mu ual li e acy. HR mus unde s and key h ea ec o s and employee isk p o iles, while IT
mus app ecia e how beha io al in e en ions can enhance o unde mine echnical con ols. This in e disciplina y
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 706-716
712
knowledge exchange os e s mo e e ec i e aining, policy design, and eal- ime decision-making. Fu he mo e,
embedding cybe secu i y wi hin o ganiza ional cul u e—some hing only HR can uly ope a ionalize—was a c i ical
di e en ia o . Cul u e-o ien ed o ganiza ions no only expe ienced ewe secu i y inciden s bu also epo ed g ea e
employee engagemen wi h secu i y policies. This suppo s he a gumen made by Bada e al. (2019) ha beha io
change is mos sus ainable when ein o ced by daily ou ines, pee no ms, and leade ship modeling. The s udy also
unde sco es he need o execu i e sponso ship and s uc u al enable s. O ganiza ions wi h sha ed cybe secu i y KPIs
and co-led councils had highe in eg a ion sco es and be e ou comes. Con e sely, s uc u al silos and agmen ed
esponsibili y limi ed he e ec i eness o bo h aining and inciden esponse, e en in o ganiza ions wi h ad anced
echnical capabili ies [19].
4.4. Implica ions
Fo p ac i ione s, his esea ch p o ides a p ac ical oadmap: es ablish join go e nance s uc u es, embed
cybe secu i y in o HR sys ems (e.g., onboa ding, app aisals), and in es in mu ual educa ion. Fo policymake s, i
highligh s he impo ance o equi ing c oss- unc ional cybe secu i y planning in compliance amewo ks.
Academically, he indings sugges e ile g ound o u he esea ch on co-leade ship models in digi al isk
go e nance, including sec o -speci ic adap a ions and longi udinal impac s. Ul ima ely, cybe - esilience is no a
echnical ea u e bu an o ganiza ional capabili y—and he collabo a ion be ween HR and IT is i s mos i al enable .
5. Resul s and Analysis
This sec ion p esen s a de ailed quan i a i e analysis o he ela ionship be ween HR–IT collabo a ion and
o ganiza ional cybe - esilience using s a is ical models, ma hema ical easoning, and mul i-dimensional e alua ion. We
use complex modeling echniques including mul iple linea eg ession, analysis o a iance (ANOVA), co ela ion
ma ices, and loga i hmic ans o ma ions o in e p e he nume ical da a collec ed om he 120 pa icipa ing
o ganiza ions. The p ima y dependen a iables a e:
5.1. Reg ession Model and S a is ical Tes ing
The eg ession model used is:
Table 1 P edic ing B each F equency (CBF)
Coe icien
Value
S anda d E o
-S a is ic
p-Value
β0 (In e cep )
5.94
0.71
8.37
<0.001
β1 (HIS)
–0.82
0.18
–4.56
<0.001
β2 (Size)
0.0003
0.0001
2.91
0.004
β3
0.37
0.12
3.08
0.003
β4
–0.71
0.16
–4.44
<0.001
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 706-716
713
5.2. In e p e a ion
A one-uni inc ease in HR–IT In eg a ion Sco e esul s in a dec ease o 0.82 in he annual numbe o b eaches, holding
all else cons an . F equen aining and la ge o ganiza ion size also in luence b each equency bu o a lesse deg ee
[20].
To linea ize esponse ime, a loga i hmic ans o ma ion was applied:
Figu e 3 P edic ing Inciden Response Time (IRT)
5.2.1. In e p e a ion
The log- ans o med model sugges s ha o e e y uni inc ease in HIS, he inciden esponse ime educes by
app oxima ely 34%, con i ming he signi icance o collabo a ion in eal- ime esponse e iciency.
5.3. Co ela ion Ma ix
Table 2 Co ela ion Ma ix
Va iables
HIS
CBF
IRT
ECS
CTF
HIS
1
–0.63
–0.59
0.71
0.55
CBF
–0.63
1
0.60
–0.57
–0.48
IRT
–0.59
0.60
1
–0.52
–0.44
ECS
0.71
–0.57
–0.52
1
0.62
CTF
0.55
–0.48
–0.44
0.62
1
No e: All alues a e Pea son co ela ion coe icien s. All co ela ions a e signi ican a he 0.01 le el (2- ailed).
5.4. De i ed O ganiza ional Cybe -Resilience Index (CRI)
To consolida e a ious indica o s in o one me ic, we de eloped a Cybe -Resilience Index (CRI):
Weigh s we e de i ed using p incipal componen analysis (PCA):
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 706-716
714
Table 3 Mean CRI sco es by In eg a ion Le el:
HR–IT In eg a ion Le el
Mean CRI
S d. De
n
High (HIS ≥ 6)
8.93
1.02
34
Medium (HIS 4–5)
6.75
1.14
41
Low (HIS < 4)
4.21
1.38
45
5.4.1. In e p e a ion
O ganiza ions wi h high HR–IT in eg a ion ha e s a is ically highe CRI sco es, con i ming hei supe io cybe -
esilience.
Figu e 4 Pe o mance Me ics by HR–IT In eg a ion Le el
This ad anced quan i a i e analysis unequi ocally demons a es ha HR–IT collabo a ion plays a s a is ically
signi ican ole in de e mining o ganiza ional cybe - esilience. The in eg a ion le el in luences all key cybe secu i y
ou comes—including b each equency, esponse ime, aining e ec i eness, and compliance beha io . By using
mul i a ia e models, de i ed indices, and complex s a is ical es s, we alida e he cen al hypo hesis wi h scien i ic
igo . These esul s also con ibu e a no el cons uc — he CRI me ic—which can be ope a ionalized ac oss indus ies
o benchma k and moni o p og ess in building a cybe - esilien wo k o ce. O ganiza ions can apply his composi e
index o in e nal audi ing, pe o mance epo ing, and policy e iew o s a egic imp o emen . The esul s o his s udy
p o ide compelling empi ical e idence suppo ing he hypo hesis ha a high deg ee o collabo a ion be ween Human
Resou ces (HR) and In o ma ion Technology (IT) depa men s signi ican ly enhances o ganiza ional cybe - esilience.
D awing on he da a collec ed om 120 o ganiza ions ac oss inance, heal hca e, educa ion, and go e nmen sec o s,
he s udy applied mul i a ia e eg ession, co ela ion analysis, and an o iginal Cybe -Resilience Index (CRI) o e alua e
pe o mance ou comes [21].
5.5. In e p e ing he Impac o HR–IT Collabo a ion
One o he mos salien indings is he s ong in e se co ela ion be ween HR–IT In eg a ion Sco e (HIS) and
Cybe secu i y B each F equency (CBF), wi h β1=−0.82 and a s a is ically signi ican p- alue < 0.001. This indica es ha
