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To trust or not to trust ICT? Empirical model of relation between career readiness, trust, and distrust

Abstract

In this study, the authors focus on two issues: the influence of technology trust and distrust on career readiness and the identification of these trust and distrust factors determined by the respondent’s gender. To achieve this goal, the authors collected data using the survey method. The study was conducted among 871 Polish university students aged 18 to 25. Structural equation modeling was used to show potential causal dependencies between variables. The study provides valuable insight into research on trust and distrust in technology. Three groups of factors influencing career readiness were identified: catalysts (ICT trust, human-ICT competition), inhibitors (digital illiteracy, harmful ICT) and neutrals (ICT scepticism, digital anxiety). Variables in the career inhibitor category are not significant for the male respondents. The model used in the study indicates higher readiness among women in the dedication dimension, lower readiness in the engagement dimension, and no gender difference in the sacrifice dimension. The differential role of gender is confirmed in the context of career readiness. Limitations for this type of research are related to the difficulty of reaching the appropriate research sample, and thus its representativeness. In this case, thanks to a large research sample, it was possible to capture the relationships that allow for a better understanding of Generation Z.

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To trust or not to trust ICT? Empirical model of relation between career readiness, trust, and distrust

Author: Kowalczyk, Elzbieta
Publisher: Technická Univerzita v Liberci
Year: 2024
Source: https://dspace.tul.cz/bitstreams/e426c8bf-53f8-4259-8e3c-25bfa4e4a037/download
In o ma ion Managemen
221
2024, olume 27, issue 2, pp. 221–239, DOI: 10.15240/ ul/001/2024-2-013
To us o no o us ICT? Empi ical model
o ela ion be ween ca ee eadiness,
us , and dis us
Elzbie a Kowalczyk1, Dagma a Lewicka2, Pawel Zajac3
1 Poznan Uni e si y o Economics and Business, Depa men o O ganiza ion and Managemen Theo y, Poland,
ORCID: 0000-0003-4611-2246, [email p o ec ed];
2 AGH Uni e si y o K akow, Facul y o Managemen , Poland, ORCID: 0000-0002-6955-7371, [email p o ec ed];
3 AGH Uni e si y o K akow, Facul y o Managemen , Poland, ORCID: 0000-0003-4343-3458, [email p o ec ed].
Abs ac : In his s udy, he au ho s ocus on wo issues: he in luence o echnology us and
dis us on ca ee eadiness and he iden i ica ion o hese us and dis us ac o s de e mined by
he esponden ’s gende . To achie e his goal, he au ho s collec ed da a using he su ey me hod.
The s udy was conduc ed among 871 Polish uni e si y s uden s aged 18 o 25. S uc u al equa ion
modeling was used o show po en ial causal dependencies be ween a iables. The s udy p o ides
aluable insigh in o esea ch on us and dis us in echnology. Th ee g oups o ac o s in luencing
ca ee eadiness we e iden i ied: ca alys s (ICT us , human-ICT compe i ion), inhibi o s (digi al
illi e acy, ha m ul ICT) and neu als (ICT scep icism, digi al anxie y). Va iables in he ca ee inhibi o
ca ego y a e no signi ican o he male esponden s. The model used in he s udy indica es
highe eadiness among women in he dedica ion dimension, lowe eadiness in he engagemen
dimension, and no gende di e ence in he sac i ice dimension. The di e en ial ole o gende
is con i med in he con ex o ca ee eadiness. Limi a ions o his ype o esea ch a e ela ed
o he di icul y o eaching he app op ia e esea ch sample, and hus i s ep esen a i eness. In his
case, hanks o a la ge esea ch sample, i was possible o cap u e he ela ionships ha allow o
a be e unde s anding o Gene a ion Z.
Keywo ds: In o ma ion and communica ion echnologies, digi aliza ion, Gene a ion Z, SEM.
JEL Classi ica ion: I23, M53.
APA S yle Ci a ion: Kowalczyk, E., Lewicka, D., & Zajac, P. (2024). To us o no o us ICT?
Empi ical model o ela ion be ween ca ee eadiness, us , and dis us . E&M Economics and
Managemen , 27(2), 221–239. h ps://doi.o g/10.15240/ ul/001/2024-2-013
In oduc ion
The dynamic de elopmen o in o ma ion and
communica ion echnology (ICT), going hand
in hand wi h he inc easing dependence o hu-
mans on echnology, is inc easing in e es among
esea che s in bo h us and dis us in his con-
ex (McKnigh e al., 2020; Wong e al., 2023).
The issues o us and dis us a e inc eas-
ingly becoming he ocus o he sub-discipline
o echnology managemen , whe e humans a e
pa o a socio- echnical sys em (Lank on e al.,
2015; McKnigh e al., 2011). In his sys em,
us and dis us ela e o he ela ionship be-
ween humans and echnology (Liu e al., 2017;
Tha che e al., 2013). These ela ionships a e
cha ac e ized by isk and dependency. The use
o echnology in ol es isks aken by echnology
use s. Risks a e compounded by use s’ lack
o knowledge and unce ain y ega ding he con-
sequences o echnology use. On he o he hand,
an inc easing le el o dependence on echnol-
ogy can be obse ed (Ejdys, 2018).
In o ma ion Managemen
222 2024, olume 27, issue 2, pp. 221–239, DOI: 10.15240/ ul/001/2024-2-013
ICT con ibu es o dynamic changes in soci-
e y in all aspec s o li e, including he wo kplace,
lea ning, and e e yday li e. These in luences
a e inc easingly el a all le els o educa ion,
pa icula ly in highe educa ion ins i u ions.
As ICT enables an inc easing deg ee o cus-
omiza ion o lea ning and eaching o indi-
idual s uden s, i is wo h asking whe he and
how us /dis us in ICT echnology in luences
s uden s’ ca ee eadiness. T us , on he one
hand, helps decision-making by educing
unce ain y abou he consequences o in e ac-
ions and, on he o he hand, enhances he de-
si e o es ablish and main ain a ela ionship wi h
a us ed pe son o objec . The e o e, acco d-
ing o he li e a u e, i has been assumed ha
ICT us posi i ely in luences he ca ee eadi-
ness o young adul s, which is a p e equisi e
o a success ul ansi ion om he educa ion
ma ke o he labou ma ke .
As cu en esea ch indica es, e e y e-
la ionship is also accompanied by a ce ain
le el o dis us . De ining dis us in gene al and
wi h ega d o echnology in pa icula is a di -
icul challenge. So a , esea ch on dis us
in ela ion o echnology is a an ini ial s age
(Bewsell, 2012). Howe e , he emo ional pe -
spec i e o dis us is wo h in es iga ing. I has
impo an p ac ical alue. I allows a emp s
o be e unde s and he ea s, anxie ies and
ba ie s o echnology use s and de elop ways
o educe hem.
ICT is a d i ing o ce o change in he la-
bou ma ke , and echnology li e acy is he hi d
as es -g owing co e skill (Wo ld Economic
Fo um, 2023). The e o e, a i udes owa d ICT,
such as us and dis us , a e an essen ial ele-
men o ca ee eadiness and acili a e he an-
si ion om educa ion and aining o he labou
ma ke . The cu iculum o s uden s in he a ea
o ca ee eadiness is based on he imp o e-
men o digi al compe encies (Hua e al., 2022;
Newell & Ul ich, 2022). People e e o digi al
compe encies o achie e goals ha a e impo -
an o hem in an e ec i e manne , including
e ec i e unc ioning in he labou ma ke (Kow-
alczyk, 2022). Empi ical esea ch shows ha
bo h s uden s and employe s see a ela ionship
be ween digi al compe encies and employabil-
i y (Pi zada & Khan, 2013). The EU Commis-
sion de ined hese compe encies in a eas such
as in e ac ing h ough echnologies, sha ing
in o ma ion and con en , engaging in online ci i-
zenship, collabo a ing h ough digi al channels,
ne ique e, and managing digi al iden i y (Fe -
a i, 2013). T us ea ed as a i ude (Nguyen,
2022) is necessa y in all men ioned a eas and
acco ding o he DigComp epo , a ibu es a e
he pa s o he digi al compe ences (Vuo ika i
e al., 2022). We assume ha achie ing compe-
ence in hese dimensions equi es a balance
be ween us and dis us o ICT. In pa icula ,
we pu a lo o sensi i e in o ma ion (e.g., pe -
sonal da a, CV con en , copies o documen s)
in he digi al space and, in o de o keep ou
ac i i ies sa e, we need o ealis ically assess
he ICTs used o e i y he ools used.
The e o e, i has been assumed ha
ICT us posi i ely in luences he ca ee eadi-
ness o young adul s, which is a p e equisi e
o a success ul ansi ion om he educa ion
ma ke o he labou ma ke .
Gi en he lack o esea ch on dis us in his
con ex , he ques ions aised a e whe he and
how ICT dis us can be a eason o ca ee
exclusion and a ba ie o en y in o he la-
bou ma ke and whe he and how gende
de e mines speci ic pa e ns o he impac
o ICT us and dis us on ca ee eadiness.
This esea ch is pa o an inc easingly popula
end ela ed o elici ing alue-added ICT use
beha iou s aimed a inc easing p oduc i i y
and lea ning ou comes.
The es o he pape is s uc u ed as ol-
lows. The pape begins by p esen ing he issue
o ca ee eadiness. Nex , he pape del es
in o a ious s udies ela ed o us in ICT and
dis us in ICT. I hen conside s gende issues
in ela ion o ca ee eadiness, ICT and us .
The pape hen explains he me hodology, p es-
en s he esea ch esul s, discusses esea ch
limi a ions, and p o ides concluding ema ks
on he indings.
1. Theo e ical backg ound
1.1 Ca ee eadiness
E en be o e he COVID-19 pandemic, he wo k-
ing en i onmen was e y di icul o g adua es
en e ing he labou ma ke due o he eno mous
echnological a iabili y, u bulence, ou sou c-
ing p ac ices and emo e wo k (Mahmud e al.,
2022; Sholikah, 2021). In he pos -pandemic
pe iod, as a esul o , among o he hings, a eal
su ge in echnological changes, his p oblem is
e en g ea e . Resea ch has shown ha in o -
de o inc ease employabili y and he chances
o a success ul ca ee , i is impo an du -
ing one’s educa ion o acqui e ans e able
In o ma ion Managemen
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compe encies, which include c i ical hinking,
p oblem-sol ing, nego ia ion and decision
making (Mahmud e al., 2022). Digi al compe-
encies play an ins umen al ole wi h espec
o he ones men ioned abo e, bu , impo an ly,
hey a e also ans e able (Kowalczyk, 2022).
In addi ion, quali a i e esea ch conduc ed
in F ance shows ha a con ex ual ac o in
he o m o digi al ans o ma ion has an impac
on he in a- and in e -o ganiza ional ans e -
abili y o public sec o employees’ ca ee s (Culié
e al., 2021). The pe sonal need o con inuous
de elopmen has al eady become a s anda d
in p o essional unc ioning, and employe s and
aining companies inc easingly p epa e hei
p oposals o aining in digi al o ma ; hus,
i is di icul o lea n, ain, and de elop wi h-
ou digi al compe encies hese days. Al hough
young people o en ha e ex ensi e expe ience
in using echnology, his expe ience o en does
no ans e o he a ea o educa ion (Co in
e al., 2020). In he pandemic pe iod especially
highligh ed ha , digi al li e acy sho ages e-
sul ed in digi al exclusion om he labou ma -
ke , and his was due o en o ced echnological
changes which became i mly es ablished in
he wo ld o wo k: om job sea ching, h ough
pe o ming and imp o ing one’s wo k, o ecei -
ing emune a ion o i . Un o una ely, in Poland,
Romania, Bulga ia, Slo akia, Hunga y and Cy-
p us, he isk o digi al exclusion in 2020 was
10% highe han in o he EU coun ies. Se e al
easons o he digi al exclusion o employees
a e obse ed in en e p ises, he main ones be-
ing mo i a ional ba ie s (42%) and men al ba -
ie s (38%) (bo h ac o s being men ioned
join ly in 18% o cases), wi h o he esponses
including digi al illi e acy (30%), ma e ial ba i-
e s (18%), and no ba ie s (13%) (Laco a e al.,
2022). While i is ue ha young people s udy-
ing a uni e si ies in Poland a e mo e digi ally
compe en compa ed o he es o socie y, hei
le el o abo e-basic o e all digi al skills is com-
pa able o ha possessed by 55–64 yea s-old
esiden s o he Ne he lands, which has a lead-
ing posi ion in Eu ope in e ms o digi al li e acy
(Eu os a , 2023a).
Ca ee eadiness is de ined as use ul e-
sou ces in e ms o labou ma ke adap a ion
and willingness o unde ake asks and change
s a us (Sampson e al., 2013). Resea ch shows
ha ca ee eadiness is connec ed wi h ca ee
ma u i y, socioeconomic s a us, and one’s
psychological locus o con ol (Sholikah, 2021).
Ca ee eadiness is also dependen on he abil-
i y o make he igh decisions, which a ec ca-
ee de elopmen as well as a ange o amily,
economic, ma ke , and social condi ions. Along
wi h ca ee eadiness comes inc eased insigh
and adequa e assessmen o one’s abili ies, in-
e es s, and skills. Ca ee eadiness is os e ed
by a highe le el o co e sel -e alua ion and
ewe pe cei ed ba ie s, and i helps a pe son
ob ain knowledge abou he labou ma ke
and adjus hei educa ional choices acco d-
ingly (Sampson e al., 2013); on he o he hand,
a lowe le el o ca ee eadiness means a lowe
le el o occupa ional knowledge (Hi schi, 2011).
Acco ding o esea ch conduc ed in eigh
OECD coun ies, inancial ad an age, which
is ega ded as a measu e o ca ee success,
is in luenced by he ollowing (OECD, 2021a):
 Thinking abou he u u e, which consis s
o ca ee ce ain y ( he abili y o name
an expec ed occupa ion in adul hood);
ca ee ambi ion ( he expec a ion o wo k-
ing in a p o essional o manage ial ole;
ca ee alignmen ( he educa ional plans
o a s uden can ypically be ega ded as
app op ia e o en y o hei occupa ional
expec a ion); and ins umen al mo i a ion
owa ds school (a s uden is able o d aw
a connec ion be ween he educa ion hey
a e engaged in and a po en ial u u e
in wo k). In all he abo e-men ioned as-
pec s, he e is a s a is ically signi ican co -
ela ion wi h in e ne esea ch;
 Explo ing he u u e ( h ough ca ee con-
e sa ions wi h eache s; suppo om
amily membe s and iends; engaging wi h
people in wo k h ough ca ee alks o job
ai s; wo kplace isi s o job shadowing; ap-
plica ion and in e iew skills de elopmen
ac i i ies; occupa ionally- ocused sho p o-
g ammes);
 Expe iencing he u u e, e.g., h ough pa -
ime wo k (up o 10–15 hou s pe week)
and olun ee ing).
Shaping ca ee eadiness begins in he ea -
ly s ages o educa ion and is designed o a-
milia ize young people wi h he equi emen s
o he wo ld o wo k and suppo hem in explo -
ing and expe iencing hei chosen occupa ions.
Al hough he wo ld o wo k is inc easingly
digi al (including, e.g., emo e wo k, online e-
c ui men and selec ion, online eam communi-
ca ion, online sea ching and con en c ea ion)
and equi es ICT li e acy, i is also inhe en ly
In o ma ion Managemen
224 2024, olume 27, issue 2, pp. 221–239, DOI: 10.15240/ ul/001/2024-2-013
connec ed wi h unc ioning in he eal wo ld
(OECD, 2021b). I mus be emphasized ha
li e acy in using digi al ools enhances people’s
ca ee s, bu i does no ans e hei unc ioning
o an au onomous, i ual en i onmen .
In o de o imp o e ca ee eadiness e-
la ed o s uden s’ digi al li e acy, cu icula a e
being de eloped, such as a Flo ida Uni e -
si y, based on de eloping oppo uni ies wi hin
iden i ied a eas o a i icial in elligence li e acy
ega dless o s uden discipline. P epa ing
g adua es o add ess digi al challenges based
on digi al echnologies, including a i icial in el-
ligence (AI), suppo s he de elopmen o hei
p o essional po en ial and ensu es as e ad-
ap a ion o he challenges o he 21s cen u y
wo kplace (Sou hwo h e al., 2023). The e a e
nume ous examples o using AI in e e yday
li e – om sel -d i ing ca s o sma homes
and oice assis an s (Ng e al., 2021). Fo ex-
ample, abou 66,000 Alexa skills a e a ailable
in he US, bu only 33% o consume s hink
hey a e al eady using a ious AI pla o ms. I is
es ima ed ha 85 million jobs wo ldwide could
po en ially be eplaced by AI and o he au oma-
ion echnologies by 2025, and in elligen obo s
could eplace 30% o he human wo k o ce
globally by 2030 (Nick, 2023). An In e na ional
S anda d Classi ica ion o Occupa ions s udy
conduc ed in he US and Canada on egula ed
occupa ions shows ha hose wi h a u u e
(e.g., medical ca e, e e ina y ca e, IT suppo )
a e signi ican ly less h ea ened by au oma ion
han hose in decline (e.g., business, inance
and insu ance; anspo and ade; sales, o -
ice suppo and adminis a ion; p oduc ion),
whe e his h ea is signi ican (Mann e al.,
2020). I is he e o e impe a i e ha he p epa-
a ion o candida es o a ca ee in he la e
occupa ions should include he abili y o wo k
wi h machines and ICT li e acy. I is necessa y
o use AI in he cu iculum, which should be
suppo ed by enabling AI in di e en a eas;
helping s uden s o know and unde s and AI;
showing how o use and apply AI; c ea ing and
e alua ing AI; and emphasizing AI- ela ed e hi-
cal issues (Sou hwo h e al., 2023).
1.2 T us and dis us in ICT
The concep o us is di icul o de ine, as i is
a iously unde s ood wi hin he scien i ic disci-
plines explo ing i , i.e., psychology, sociology,
economics, managemen , poli ical science and
o he s (Lewicka & Zak zewska-Bielawska,
2020). Mos esea ch conside s us in in-
e pe sonal ela ionships, whe e one pa y is
he us o and he o he he us ee. Howe e ,
i is wo h no ing ha us ela es o a speci ic
con ex , e.g., o ganiza ional o online, and has
a speci ic scope (Ja enpaa e al., 2004). A pa y
o a us ela ionship is mos o en a pe son, bu
i can also be an ins i u ion, an in elligen de ice,
an objec ha pe o ms a unc ion, o a echnol-
ogy (Lewicka e al., 2017). O pa icula in e -
es seem o be conside a ions o us ela ed
o he eme gence o humanoid obo s, which a e
gi en a mechanical iden i y (Rakowska, 2021).
The concep o us is shi ing o an expand-
ing g oup o objec s, wi h he assump ion ha
a leas one pa y o his ela ionship is human.
Ob iously, his si ua ion aises many ques ions
and conce ns. The main one conce ns he ques-
ion o whe he and o wha ex en he ca ego y
o us can be applied o he ela ionship be-
ween a human being and a ma e ial objec . O h-
e ques ions conce n he an eceden s o us ,
i s ypes and i s consequences.
Technology us is a pa icula ype o us
in which an indi idual as a use places us
in echnology (Xu e al., 2014). P e ious de ini-
ions o echnological us emphasize he ol-
lowing aspec s o he ela ionship be ween
humans and echnology (Lee & See, 2004):
i) he expec a ion o help in achie ing goals,
i.e., usabili y o echnology; ii) he an icipa-
ion o eliabili y p edic abili y; he expec a ion
o e ec i eness and e iciency o de ices om
he pe spec i e o he c ea o s o he echnol-
ogy; and iii) a pa icula ype o ela ionship
cha ac e ized by unce ain y and ulne abili y.
Resea ch indica es ha he use ’s le el
o us in echnology in luences he s a egy o
i s use (Baghe i & Jamieson, 2004). A lack
o us in he echnology p ecludes i s ull use,
which can lead o a dec ease in p oduc i i y
and a ailu e o exploi oppo uni ies. The ocus
o echnology us is on he con ex o ICT. This
is because people ely on hem o an unp ec-
eden ed deg ee and he digi al en i onmen is
highly unce ain and isky. In e es ing esea ch
con ex s ela ed o ou esea ch a e: us in on-
line communica ion (Benlian & Hess, 2011),
us in go e nmen websi es (Teo e al., 2008),
us in so wa e (Lank on e al., 2014), cloud
se ices ( an de We e al., 2019), cha box
se ice (Balak ishnan & Dwi edi, 2021).
A us cons uc comp ising h ee dimen-
sions is mos used o examine echnological
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us (Lank on e al., 2014): i) unc ionali y,
he deg ee o which an indi idual belie es ha
a sys em o i s componen s ha e he necessa y
unc ions o accomplish speci ic asks o goals;
ii) eliabili y, he deg ee o which he indi idual
belie es ha he echnology will con inuously
pe o m co ec ly, consis en ly and lawlessly;
and iii) help ulness, he deg ee o which he in-
di idual belie es ha he echnology will p o ide
adequa e and esponsi e assis ance.
I should be no ed ha hese dimensions
a ose om he adap a ion by analogy o he gen-
e ally accep ed dimensions o in e pe sonal us ,
i.e., compe ence, bene olence and in eg i y o
he pu pose o us in echnology. We canno
a ibu e compe ence o ICT, bu only o unc-
ionali ies ha help people o achie e hei goals.
Technical sys ems can show hei eliabili y
by p o iding unc ionali y acco ding o designed
capabili ies, consis en ly and con inuously.
Technology canno show bene olence,
bu i can espond o he needs and expec a-
ions o use s and hus p o ide suppo and
assis ance o hem. T us in echnology is
also de e mined by indi idual ac o s such
as p opensi y o us , gende , and cul u al
ac o s. I is also linked o he o ganiza ional
con ex wi h which he use o he echnology
is associa ed. The o ganiza ional con ex se s
he amewo k using he ins i u ional dimen-
sions o s uc u al con idence and si ua ional
no mali y, which in luence he ex en o us
in a gi en echnology (Ejdys, 2018).
T us is a posi i e men al s a e ha implies
a posi i e expec a ion o a pa ne o objec ,
which allows one o cope wi h unce ain y abou
he su ounding wo ld. I helps o ac o o e-
spond o a ious ypes o unce ain si ua ions
o e en s. Mos de ini ions o us indica e ha ,
despi e posi i e expec a ions, he indi idual is
awa e o he possible nega i e consequences
o us ing. T us is, he e o e, accompanied
by dis us . The ques ion o whe he us and
dis us a e opposing phenomena in one dimen-
sion o whe he hei ela ionship is mo e com-
plex has a ac ed he a en ion o esea che s
(Cho, 2006). Ini ially, hese ela ionships we e
desc ibed as opposing s a es loca ed a wo
opposi e ends o a single con inuum. In con-
as o us , whe e posi i e conno a ions a e
assumed, dis us was unde s ood as a nega-
i e expec a ion esul ing om he a ibu ion
o nega i e in en ions o a pe son o objec ,
linked o isk and he possibili y o ha m.
Al hough us and dis us a e de ined
by schola s in di e en ways, i is cu en ly
accep ed ha hey a e ela ed bu dis inc and
sepa a e cons uc s. Tha is, lack o us is no
necessa ily associa ed wi h high dis us and low
dis us wi h high us . Howe e , linking he wo
cons uc s implies ha hey in luence each
o he o some ex en , e.g., a dec ease in dis-
us may ha e posi i e consequences o us ,
while on he o he hand, a high le el o dis us
is likely o be a symp om o low us in he e-
la ionship (Lewicka & Zak zewska-Bielawska,
2022). Resea che s leaning owa ds his iew
no e ha loss o us is no always associ-
a ed wi h he de elopmen o dis us . They
emphasize ha dis us can be educed wi hou
inducing us and ice e sa (Ullman-Ma gali ,
2004). A g owing g oup o esea che s also
indica e ha dis us p o ec s indi iduals om
he nega i e consequences o ela ionships
(Bewsell, 2012). I causes indi iduals o ake
p o ec i e measu es and o check he conse-
quences o he unc ionali ies o e ed. Dis us
e e s o ce ain nega i e expec a ions o hings
ha a e ea ed. I can also be de ined as an un-
willingness o be ulne able because o an ex-
pec ed iola ion (Komiak & Benbasa , 2008).
Dis us de ines a si ua ion as one in which
we need o p o ec ou sel es and inc ease ou
igilance. In his sense, i is a con ol mecha-
nism ha signals isk and educes unce ain y
(McKnigh & Che any, 2001). In his s a e,
one ac o has no eason o us he o he and
has many easons o be cau ious and igilan .
Dis us can be conside ed as a men al s a e,
a belie and eeling, and as a beha iou (Bew-
sell, 2012).
Based on he dimensions conce ning
in e pe sonal dis us ollowing McKnigh and
Che any (2001), he dimensions o dis us
as a belie can be dis inguished: i) dis us ing
belie compe ence/ unc ional belie , based on
he belie ha he echnology will no mee ex-
pec a ions ega ding i s unc ionali y; ii) dis us -
ing belie p edic abili y, based on he belie ha
he echnology will no be equally e icien and
will no gua an ee he expec ed s anda dized
le el o se ice quali y o e ime; and iii) dis-
us ing belie bene olence/help ulness based
on he belie ha he echnology is no able
o sa is y he needs o a gi en use , e.g., he ex-
pec ed le el o secu i y, gua an ee o p i acy.
In u n, dis us as a beha iou may include
beha iou s aimed a educing pe cei ed isks,

In o ma ion Managemen
226 2024, olume 27, issue 2, pp. 221–239, DOI: 10.15240/ ul/001/2024-2-013
e.g., wi hd awal o eliance on echnology and,
in se e e cases, a oidance o echnology use.
The Edelman T us Ba ome e indica es
ha al hough us in he echnology sec o
emains high, he e is g owing conce n abou
he e ec s o apid echnological de elopmen
and dynamic change, pa icula ly among people
in economically weake coun ies. Annual e-
po s indica e ha people a ound he wo ld a e
becoming inc easingly dis us ul o he wo ld
a ound hem, including ins i u ions. Among
he ac o s causing dis us a e many ha a e
ela ed o echnology. Many esponden s ex-
p ess conce n abou he u u e o wo k. These
conce ns a e gene a ed by ac o s ela ed
o echnology, au oma ion, he gig economy
and he need o e ain om and lea n new
skills. Fu he mo e, 73% o global esponden s
wo y abou hei da a p i acy, 60% ag ee ha
he use o echnology o eplace human wo k-
e s will inc ease income inequali y, 65% ea
ha echnology will make i impossible o know
i wha people a e seeing o hea ing is eal.
The abo e da a poin s o he need o inc eased
esea ch on dis us o echnology.
1.3 Gende issues wi h ega d o ca ee
eadiness, ICT and us
Resea che s’ iews on ca ee eadiness be-
ween women and men a e no homogenous.
The esea ch did no ob ain conclusi e esul s.
On he one hand, men mani es highe le els
o ca ee eadiness h ough ca ee decision
sel -e icacy and con idence in abili ies, while
women iden i y mo e wi h hei ca ee iden-
i y. Women pe cei e mo e ba ie s and expe-
ience mo e ole con lic . On he o he hand,
some s udies (including me a-analyses) ha e
no shown ha gende is a ac o in luencing
ca ee sel -e icacy decisions. This sugges s
he indi ec ela ionship be ween gende and
ca ee eadiness is media ed o mode a ed
by o he ac o s (Pa ie i e al., 2016). Fu he -
mo e, ca ee choices, educa ion and ca ee
explo a ion a e s ongly ma ked by di ec and
indi ec social in luences (Ikonen e al., 2020).
Al eady, boys’ ea ly choice o a “ma h ack”
based educa ional pa hway co ela es wi h
hei g ea e p opensi y o compe e and makes
hem mo e p i ileged in hei ca ee pa hway,
compa ed o gi ls choosing a “li e a u e ack”
(Buse e al., 2012).
The esul s o s udies on gende di e ences
wi h ega d o ICT li e acy a e inconclusi e, bu
in hose based on sel -assessmen , highe
compe encies o male s uden s a e o en appa -
en (Siddiq & Sche e , 2019). This is pa ly due
o men’s o e es ima ion o hei compe encies
and he ha she sel -assessmen o women,
who addi ionally eel ha he e is a cul u al ac-
cep ance o hei lack o compe encies in his
a ea (Kowalczyk, 2022). Women a e also cha -
ac e ized by a g ea e ea o ICT, which is no ,
as is he case wi h men, modi ied by expe ience
(B oos, 2005). In con as , ex ensi e esea ch
based on me a-analysis in which ICT li e acy
was measu ed h ough pe o mance-based as-
sessmen s showed ha emale s uden s ha e
highe le els o i . While his e ec is ela i ely
small, i canno be igno ed (Siddiq & Sche e ,
2019). Gende di e ences also ela e o he ex-
en o sel -exp ession. Women exp ess hem-
sel es in digi al media h ough blogs abou hei
li es (e.g., s yle, amily), while men w i e mo e
abou p o essional o echnical issues. This
g ea e endency o women o sel -exp ess
may be explained by he ac ha hey (like
blogge s and logge s in gene al) end o ha e
highe le els o neu o icism and highe (in ela-
ion o people in gene al) le els o ex a e sion
(Okdie & Rempala, 2020). Also, s e eo ypes
play an impo an ole in gende di e ences
as hey can help explain bo h beha iou s and
decla a ions ela ing o ICT and ca ee choices.
Desc ip i e gende s e eo ypes desc ibe wha
women like and wha men like, while p esc ip-
i e gende s e eo ypes desc ibe wha each
gende should like (Heilman & Pa ks-S amm,
2007). I is gende s e eo ypes ha , a leas
o some ex en , in luence women’s less e-
quen choice o IT ca ee s and hei lowe
in e es in echnology (Luxo Poland, 2023),
as well as g ea e social accep ance o gaps
in hei digi al compe encies (Raluca & Phillips,
2022). Mo eo e , women who escape such
s e eo ypes equen ly ha e o ace nega i e
social e alua ion.
The esul s o s udies on gende di e -
ences in us a e also no conclusi e. This is
due o he mul iplici y o s udy con ex s and
ac o s ha may in luence he esul s, such as
social con ex , no ms, socie al s uc u e and
gende oles. Expe imen al esea ch on gen-
de di e ences in us p o ides mixed esul s
(Mukhe jee, 2020). Some indica e ha men a e
mo e us ing han women (Wu e al., 2020),
while o he s udies (Bellema e & K öge , 2007)
ind ha women a e mo e us ing han men.
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2024, olume 27, issue 2, pp. 221–239, DOI: 10.15240/ ul/001/2024-2-013
Some s udies poin o ac o s ha demons a e
he con ex ualiza ion o gende us , such as
social dis ance, payou le el, gende di e si y,
o lack he eo in he dyads s udied (Mukhe -
jee, 2020). Resea che s in his a ea con i m
ha gende con ex is wo h unde aking
in us esea ch because o he p ac ical im-
plica ions o , among o he hings, social policy
educa ion and managemen .
2. Resea ch me hodology
Despi e he inc easing impo ance o ICT
in e e yday li e and he economy, he s a e
o esea ch on us and dis us in ICT is s ill
unsa is ac o y. The e o e, he ollowing objec-
i es we e se in his s udy: o de e mine he im-
pac o us and dis us in ICT on he ca ee
eadiness o he s uden s su eyed and o iden-
i y gende di e ences in he impac o us and
dis us on ca ee eadiness. Th ee esea ch
ques ions we e he e o e posed:
RQ1: Whe he and how does ICT us in lu-
ence ca ee eadiness?
RQ2: Whe he and how does ICT dis us
in luence ca ee eadiness?
RQ3: Is he p esumed ela ionship be ween
ICT us and ICT dis us de e mined by gende ?
2.1 Tools
Ca ee eadiness was measu ed using he ca-
ee eadiness scale de eloped by Bańka
(2015), which consis ed o 15 i ems g ouped
in o h ee ac o s using ac o analysis. This
scale was de eloped in acco dance wi h
he con ex ual app oach, and i examines
he in ensi y o beha iou s enabling a smoo h
ansi ion om he educa ion ma ke o he la-
bou ma ke . In o he wo ds, i examines a pe -
son’s eadiness o change hei dominan ole
om ha o a s uden o ha o an employee.
I ems o ming his scale, due o he dynam-
ics o changes – gene a ional, echnological,
and caused by he pandemic – ha ha e aken
place in he labou ma ke ha e been subjec ed
o he p incipal componen s ac o me hod which
was used o analyze and unco e he unde ly-
ing s uc u e o he da a. To in e p e he ac o s
ha a e conside ed ele an , an o hogonal
a imax o a ion o he loading ma ix was pe -
o med, and he i ems we e so ed (Abdi, 2003).
All o he i ems o he ca ee eadiness scale
we e loaded on o h ee componen s, like in
he ea lie e sion o he es (Tab. 1). How-
e e , he s uc u e o he ac o s was sligh ly
di e en . The ollowing h ee dimensions we e
dis inguished: de e mina ion (7 i ems), ela ing
o cou age and pe se e ance in pu sui o a ca-
ee ; sac i ice (3 i ems), ela ing o willingness
o make sac i ices and accep ance o being
disc imina ed agains in he labou ma ke ; and
engagemen (5 i ems), ela ing o b a e y and
pe cei ing he ca ee as he main li e alue.
The same me hod was used o analyze is-
sues o us and dis us . The s udy was able
o ex ac a single componen o ICT us , which
includes six i ems ela ed o he dimensions ex-
ac ed om he li e a u e e iew (Lank on e al.,
2014), i.e., unc ionali y, help ulness, eliabili y,
I ems Loadings Communali ies MSA
Ca ee eadiness – de e mina ion
(Eigen alue 5.452; % o a iance 36.35; C onbach’s alpha 0.862; KMO 0.864; Ba le es sig. 0.000)
I know ha he e will always be someone who will know mo e
han me, bu I s ill belie e ha i is no wo h pos poning
he ca ee o you d eams un il you gain mo e expe ience 0.774 0.621 0.846
I belie e ha e e yone should igh o hei posi ion in
he labou ma ke 0.768 0.614 0.891
I belie e ha anyone who wan s hei p o essional ca ee
o con inue o de elop should no hesi a e i i is a good ime
o ake i up
0.756 0.585 0.897
I ealize ha he e is a lo o compe i ion in he job ma ke ,
so I belie e i is impo an o ge in ol ed in a ca ee as ea ly
as possible
0.754 0.582 0.871
Tab. 1: PCA esul s on ca ee eadiness dimension – Pa 1
In o ma ion Managemen
228 2024, olume 27, issue 2, pp. 221–239, DOI: 10.15240/ ul/001/2024-2-013
help ulness and enjoymen o ICT (e.g., Using
ICT makes me ha e mo e ee ime; o ICT is
becoming mo e use iendly (in ui i e)).
Based on li e a u e sou ces, a scale was c e-
a ed o measu e dis us in ICT (Komiak & Ben-
basa , 2008; Lewicka & Zak zewska-Bielawska,
2022; McKnigh & Che any, 2001). In he case
o ICT dis us , i e componen s we e c ea ed
(Tab. 2): ha m ul ICT (e.g., I am a aid ha
ICTs can be used o peep a and ea esd op
on people); digi al anxie y (e.g., I p e e o limi
my use o ICTs o ea o being chea ed/exploi -
ed); digi al Illi e acy (e.g., I y o a oid chang-
ing communica ion de ices (such as mobile
phones, able s) because o he accompanying
s ess); human-ICT compe i ion (e.g., I ea
ICT will make humans no longe necessa y o
ce ain jobs); and ICT scep icism (e.g., The e
a e signi ican isks in using ICT). Th ee i ems
om ICT dis us ha did no load on he app o-
p ia e componen we e emo ed. Responses
we e gi en using a 7-poin Like - ype scale,
whe e 1 mean s ongly disag ee and 7 mean
s ongly ag ee.
C onbach’s alpha coe icien was used
o assess he eliabili y o he indi idual scales.
Thei alues exceeding 0.7 we e conside ed
as accep able (Tabe , 2018). Fo he o e all
I ems Loadings Communali ies MSA
When expanding ca ee oppo uni ies is a s ake, I am
eady o inc ease my e o s in he ield o in e es , e en a
he expense o my ee ime 0.640 0.596 0.908
The oppo uni y o make a ca ee is an impo an li e goal ha
I canno gi e up 0.622 0.606 0.891
My desi e o pu sue a wo hwhile ca ee is so s ong ha
he e a e a ew ac o s ha could de e me om his in en ion 0.604 0.605 0.871
Ca ee eadiness – engagemen
(Eigen alue 2.482; % o a iance 16.55; C onbach’s alpha 0.804; KMO 0.834; Ba le es sig. 0.000)
In o de o mee he condi ions o s a ing and con inuing
he ca ee I am in e es ed in, I am eady o wo k o some
ime, e en o a e y low sala y 0.757 0.610 0.893
In o de o ealize my ca ee plans, I am eady o pos pone
he momen o ge ing ma ied un il my ca ee s abilizes 0.738 0.573 0.889
Fo an a ac i e ca ee , I am eady o pe se e e e en i my
lo ed ones do no accep i 0.710 0.566 0.908
Fo an a ac i e ca ee , I am eady o gi e up s abili y o
a longe pe iod o ime, such as buying my own apa men 0.710 0.600 0.917
Fo an a ac i e ca ee , I am eady o gi e up social and
cul u al en e ainmen o a long ime 0.608 0.384 0.907
Ca ee eadiness – sac i ice
(Eigen alue 1.016; % o a iance 6.77; C onbach’s alpha 0.707; KMO 0.671; Ba le es sig. 0.000)
I would a he li e wi h he cons an psychological isk o wo k
han be s uck in po e y 0.742 0.602 0.924
I am willing o sac i ice my pe sonal and amily li e o a while
o gain p ospec s o a wo hwhile ca ee 0.604 0.641 0.912
Fo a good ca ee , I am willing o endu e a ious isks,
such as he isk o being ea ed badly a wo k 0.530 0.565 0.890
No e: Ex ac ion me hod – p incipal componen analysis; o a ion me hod – a imax; loadings below 0.53 a e no p e-
sen ed; McDonald’s omega 0.873.
Sou ce: own
Tab. 1: PCA esul s on ca ee eadiness dimension – Pa 2
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229
2024, olume 27, issue 2, pp. 221–239, DOI: 10.15240/ ul/001/2024-2-013
es , McDonald’s omega coe icien s we e
de e mined, i s alue being accep able (Hayes
& Cou s, 2020). The Kaise -Meye -Olkin
(KMO) es measu es he common a iance
be ween he componen s. The KMO alue
be ween 0.8 and 1.0 indica es ha he sample
is adequa e. KMO alues be ween 0.7 and 0.79
a e a e age, 0.6 and 0.69 a e medium (Sh es-
ha, 2021). The Ba le es o sphe ici y checks
whe he a iables a e in e co ela ed. When
I ems Loadings Communali ies MSA
ICT dis us – ha m ul ICT
(Eigen alue 7.839; % o a iance 34.08; C onbach’s alpha 0.876; KMO 0.887; Ba le es sig. 0.000)
I am conce ned ha ICT is being used o manipula e people 0.829 0.728 0.901
I am conce ned ha ICT can be used o spy and ea esd op
on people 0.814 0.719 0.897
ICT con ibu es o addic ion 0.733 0.604 0.935
I am conce ned ha ICT can be used o damage
someone’s image 0.708 0.571 0.946
I am conce ned ha ICT is signi ican ly changing he way
we li e 0.655 0.655 0.928
ICT dis ac s people om eal p oblems in he wo ld 0.629 0.570 0.958
ICT dis us – digi al anxie y
(Eigen alue 2.994; % o a iance 13.02; C onbach’s alpha 0.851; KMO 0.856; Ba le es sig. 0.000)
I am a aid my supe io s use ICT o con ol wha I do 0.784 0.671 0.928
I am e y conce ned ha someone is using echnology o spy
and ea esd op on e e y hing I do 0.774 0.717 0.913
I am a aid o websi es like Google, Yahoo, and Bing because
hey migh allow o he people o hu me 0.725 0.692 0.926
I am a aid ha obo s may ake o e he wo ld 0.679 0.645 0.929
I p e e o limi he use o ICT o ea o being chea ed/used 0.597 0.655 0.945
ICT dis us – digi al illi e acy
(Eigen alue 1.656; % o a iance 7.20; C onbach’s alpha 0.793; KMO 0.693; Ba le es sig. 0.000)
I y o a oid changing communica ion de ices (such as
mobile phone, able ) because o he s ess in ol ed 0.822 0.742 0.888
I eel anxious when I ha e o lea n a new ope a ing sys em
on my compu e (e.g., changing om Windows 7 o 8
o Windows 10) 0.816 0.725 0.892
I I need o use he new ICT, I eel anxious ha I will no be
able o ul il my asks as planned 0.649 0.632 0.943
ICT dis us – human-ICT compe i ion
(Eigen alue 1.095; % o a iance 4.76; C onbach’s alpha 0.806; KMO 0.659; Ba le es sig. 0.000)
I ea ha , hanks o he de elopmen o ICT, many people
will lose hei jobs 0.836 0.792 0.858
I am a aid ha ICT will make a human no longe necessa y
in some p o essions 0.795 0.769 0.861
ICT secu i y is no enough o make me eel sa e using
his echnology 0.600 0.639 0.936
Tab. 2: Resul s o PCA on ICT us and dis us dimensions – Pa 1
In o ma ion Managemen
236 2024, olume 27, issue 2, pp. 221–239, DOI: 10.15240/ ul/001/2024-2-013
– e.g., echnophobia and echnophilia, cha -
ac e ized by inadequa e esponse o digi al
s imuli, digi al well-being o he unc ioning
o an o ganiza ion whe e digi al solu ions a e
in oduced in pe sonnel managemen .
The au ho s also see po en ial in he ap-
plica ion o esea ch me hods and p ocedu es
in ol ing he use o expe imen s, including
hose conduc ed in augmen ed eali y and
longi udinal s udies gi ing he possibili y o as-
sess he change in us o e ime depending
on a se o a iables, e.g., expe ience o use.
In he applica ion dimension, esea ch
on ICT us and dis us can be used o design
new echnological solu ions so ha hey induce
he desi ed a i udes owa ds ICT in use s,
p epa a ion o p og ammes o p omo e ICT so-
lu ions among g oups cha ac e ized by dis us
owa ds digi al echnologies o p epa a ion
o me hods and wo kshops o b idge he digi al
gap and p e en digi al exclusion.
Acknowledgmen s: The p ojec inanced wi hin
he Regional Ini ia i e o Excellence P og amme
o he Minis e o Science and Highe Educa ion
o Poland, yea s 2019–2023, g an No. 004/
RID/2018/19, inancing 3,000,000 PLN and
suppo ed by unds g an ed by he Minis e o
Science o he Republic o Poland unde he
“Regional Ini ia i e o Excellence” P og amme
o he implemen a ion o he p ojec “The Poznań
Uni e si y o Economics and Business o Eco-
no my 5.0: Regional Ini ia i e – Global E ec s
(RIGE).” Publica ion inanced by he sub en ion o
main enance and de elopmen o esea ch po en-
ial o AGH Uni e si y o Science and Technology.
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