DIGITAL FINANCIAL LITERACY AND ITS IMPACT ON CONSUMER FINANCIAL BEHAVIOUR IN URBAN INDIA: A MODERATED MEDIATION MODEL

In e na ional Jou nal o Ad ance and Inno a i e Resea ch
Volume 13, Issue 4: Oc obe - Decembe 2025
96
ISSN 2394 - 7780
DIGITAL FINANCIAL LITERACY AND ITS IMPACT ON CONSUMER FINANCIAL BEHAVIOUR
IN URBAN INDIA: A MODERATED MEDIATION MODEL
1D M. R. Jeyakuma and 2D A. Kuma
1P incipal, S udy wo ld College o A s and Science, Coimba o e
2Associa e P o esso , Depa men o Comme ce, Yu agu u College o A s and Science,
Coimba o e
ABSTRACT
Digi al inancial li e acy (DFL) has become a c ucial enable o in o med inancial decision-making in India’s
apidly e ol ing in ech ecosys em. Wi h he expansion o UPI, mobile walle s, digi al lending, and app-based
in es men pla o ms, consume inancial beha io has unde gone signi ican ans o ma ion. Howe e ,
dispa i ies pe sis in consume s’ abili y o unde s and digi al ools, e alua e inancial isks, and apply secu e
online p ac ices. This 2025 s udy es s a mode a ed media ion model in which inancial sel -e icacy media es
he e ec o DFL on consume inancial beha io , while pe cei ed digi al us mode a es he sel -e icacy–
beha io ela ionship.
Da a we e collec ed om 320 digi al inance use s ac oss Delhi, Mumbai, Bengalu u, Chennai, and Hyde abad
be ween Feb ua y and Sep embe 2025 using a s uc u ed ques ionnai e. S uc u al Equa ion Modelling and
PROCESS Mac o (Model 7; 5,000 boo s aps) con i med ha DFL signi ican ly imp o es esponsible inancial
beha io (β = 0.42, p < .001). Financial sel -e icacy pa ially media es his e ec (indi ec e ec = 0.20; 95%
CI [0.12, 0.30]). Pe cei ed digi al us signi ican ly s eng hens he sel -e icacy → beha io link (in e ac ion β
= 0.23, p = .002), p oducing a signi ican mode a ed media ion e ec (index = 0.08; 95% CI [0.03, 0.15]).
The indings emphasize he join ole o li e acy, con idence, and us in d i ing posi i e digi al inancial
ou comes. Policy implica ions include a ge ed li e acy p og ams, us -enhancing in ech design, and
con idence-building in e en ions.
Keywo ds: Digi al Financial Li e acy, Financial Sel -E icacy, Consume Financial Beha io , Digi al T us ,
Mode a ed Media ion Model
INTRODUCTION
Digi al ans o ma ion has signi ican ly eshaped India’s inancial se ices landscape, enabling immedia e
paymen s, digi al lending, online in es men pla o ms, and AI-d i en inancial ad iso y sys ems. Suppo ed by
high sma phone pene a ion, a o dable in e ne access, and go e nmen ini ia i es such as he Digi al India
p og amme, u ban India has apidly become a hub o in ech adop ion. As inancial se ices inc easingly
mig a e o digi al channels, digi al inancial li e acy (DFL) has eme ged as a c i ical enable o unde s anding
inancial choices, assessing isks, and ensu ing secu e inancial beha io .
Howe e , despi e g owing adop ion, a subs an ial p opo ion o consume s s ill lack adequa e li e acy o
na iga e digi al pla o ms wi h con idence. Misin e p e a ion o inancial in o ma ion, ulne abili y o online
aud, impulsi e digi al spending, and ine ec i e managemen o digi al accoun s highligh ha me e access o
echnology does no gua an ee esponsible o in o med inancial beha io .
In esponse o hese challenges, he p esen s udy examines how DFL shapes consume inancial beha io , wi h
a speci ic ocus on inancial sel -e icacy as a media ing psychological mechanism. Recognizing ising conce ns
o e cybe secu i y, da a p i acy, and pla o m c edibili y, he s udy also in es iga es whe he pe cei ed digi al
us s eng hens he in luence o sel -e icacy on posi i e inancial beha io .
By p oposing and empi ically alida ing a mode a ed media ion model, his esea ch o e s aluable insigh s o
policymake s, in ech p o ide s, and academic esea che s aiming o enhance consume inancial well-being in
India’s apidly expanding digi al economy.
STATEMENT OF THE PROBLEM
Despi e he apid adop ion o digi al inancial se ices in u ban India, posi i e inancial ou comes among
consume s emain inconsis en . Many indi iduals engage wi h digi al pla o ms wi hou su icien knowledge o
compa e inancial p oduc s, unde s and associa ed cha ges, manage digi al accoun s e ec i ely, o ecognize
po en ial aud isks. As a esul , digi al usage does no always ansla e in o in o med o esponsible inancial
beha io .
Exis ing esea ch has no adequa ely explained how digi al inancial li e acy (DFL) in luences ac ual inancial
beha io , pa icula ly h ough psychological mechanisms such as inancial sel -e icacy, which de e mines an
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indi idual’s con idence in managing inancial asks. Fu he mo e, digi al us —a c i ical con ex ual ac o
in luencing consume s’ willingness o ansac and sha e sensi i e in o ma ion online emains insu icien ly
explo ed in ela ion o inancial beha io ou comes.
Wi hou unde s anding hese unde lying mechanisms and bounda y condi ions, li e acy ini ia i es, in ech
in e ace designs, and consume p o ec ion policies may ail o achie e hei in ended impac . To add ess hese
gaps, his s udy p oposes and empi ically es s a mode a ed media ion model linking DFL, inancial sel -
e icacy, digi al us , and consume inancial beha io wi hin he con ex o India’s e ol ing digi al economy.
LITERATURE REVIEW
Digi al Financial Li e acy (DFL)
Digi al Financial Li e acy (DFL) is inc easingly ecognized as a mul idimensional cons uc ha in eg a es
ounda ional inancial knowledge wi h digi al compe encies equi ed o na iga ing online banking, mobile
walle s, and in ech pla o ms. Recen empi ical s udies concep ualize DFL as comp ising in e ela ed
dimensions such as digi al inancial knowledge, isk awa eness, ansac ional con ol, and secu e inancial
beha io . Valida ed ins umen s de eloped o Indian consume s be ween 2023 and 2025 p o ide s ong
psychome ic suppo and cap u e he unique cha ac e is ics o digi al inancial engagemen wi hin u ban
popula ions.
E idence om eme ging economies consis en ly shows ha highe le els o DFL enable indi iduals o e alua e
online inancial p oduc s mo e e ec i ely, compa e associa ed ees, in e p e digi al in o ma ion accu a ely, and
iden i y audulen schemes. In he Indian con ex , DFL has been ound o con ibu e posi i ely o sa ing and
in es men beha io , educe ulne abili y o cybe c ime, and p omo e esponsible use o digi al walle s, UPI-
based paymen s, and online in es men pla o ms. These insigh s a e pa icula ly ele an o majo me opoli an
cen e s such as Delhi, Mumbai, Bengalu u, Chennai, and Hyde abad, whe e in ech adop ion is apidly
expanding and inancial choices a e inc easingly shaped by digi al in e aces.
Financial Sel -E icacy
Financial sel -e icacy e e s o an indi idual’s belie in hei abili y o pe o m inancial asks, manage pe sonal
inances, and make in o med decisions. G ounded in Social Cogni i e Theo y, sel -e icacy shapes whe he
indi iduals con e knowledge in o beha io al ac ion and how hey espond o inancial challenges. Empi ical
esea ch conduc ed be ween 2023 and 2025 consis en ly demons a es ha inancial sel -e icacy p edic s key
beha io s such as disciplined sa ing, s uc u ed budge ing, c edi managemen , and long- e m in es men
planning.
S udies in he Indian con ex u he e eal ha inancial sel -e icacy media es he ela ionship be ween
inancial li e acy and inancial beha io , unde sco ing i s psychological signi icance in he decision-making
p ocess. As a esul , sel -e icacy se es as a heo e ically obus media o in models examining he beha io al
impac o DFL, pa icula ly wi hin digi ally ac i e consume g oups.
Consume Financial Beha io in Digi al En i onmen s
Consume inancial beha io encompasses a b oad spec um o ac i i ies, including spending, sa ing, digi al
paymen s, bo owing, and long- e m inancial planning. Beha io al ou comes in digi al inancial en i onmen s
a e in luenced no only by knowledge bu also by psychological eadiness, isk pe cep ion, pla o m usabili y,
and us .
Con empo a y esea ch indica es ha al hough India has wi nessed apid in ech adop ion, esponsible inancial
beha io has no inc eased p opo ionally. Consume s o en engage in impulsi e digi al spending, ail o u ilize
budge ing o planning ools, o become ulne able o phishing and audulen digi al ac i i ies. These pa e ns
sugges ha access o digi al pla o ms does no au oma ically ansla e in o posi i e inancial ou comes.
Ins ead, inancial beha io in digi al se ings eme ges om he complex in e ac ion be ween li e acy, sel -
e icacy, and he c edibili y o digi al inancial se ices.
Pe cei ed Digi al T us
Pe cei ed digi al us e lec s use s’ con idence in he secu i y, anspa ency, p i acy, and eliabili y o digi al
inancial pla o ms. T us has been widely ecognized in he li e a u e as a c i ical de e minan o bo h ini ial
adop ion and sus ained use o digi al inancial se ices. Empi ical indings om 2023–2025 show ha highe
us acili a es g ea e engagemen wi h ad anced in ech se ices, such as online lending, digi al in es men s,
and AI-d i en ad iso y ools.
Con e sely, low us —e en among digi ally li e a e and con iden use s es ic s adop ion o basic ansac ions
o encou ages a e u n o adi ional inancial habi s. Wi h he documen ed ise in cybe aud inciden s ac oss
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India du ing 2024–2025, pe cei ed digi al us has become inc easingly cen al o unde s anding consume
beha io wi hin u ban in ech ecosys ems.
Mode a ed Media ion F amewo k
Theo e ical pe spec i es om beha io al inance and echnology us li e a u e suppo a condi ional indi ec
e ec model o unde s anding digi al inancial beha io . Fi s , DFL in luences inancial beha io indi ec ly
h ough inancial sel -e icacy; indi iduals wi h s onge digi al inancial compe encies a e mo e con iden and,
consequen ly, mo e capable o engaging in esponsible inancial ac ions. Second, pe cei ed digi al us
mode a es he ela ionship be ween sel -e icacy and beha io , implying ha con idence is unlikely o mani es
in o beha io unless consume s pe cei e digi al pla o ms as sa e and eliable.
This condi ional p ocess whe e he s eng h o he indi ec e ec o DFL on inancial beha io depends on he
le el o digi al us cons i u es a mode a ed media ion ela ionship. Empi ical indings in ela ed domains
suppo his s uc u e, as psychological mechanisms (e.g., sel -e icacy) and con ex ual enable s (e.g., us )
equen ly in e ac o shape beha io al ou comes. Gi en he apid expansion o India’s in ech landscape,
heigh ened cybe isks, and inc easing eliance on digi al inancial se ices be ween 2023 and 2025, his
mode a ed media ion model o e s a imely and heo e ically g ounded app oach o examining consume
beha io in me opoli an Indian se ings.
RESEARCH GAP
The li e a u e e iew highligh s se e al gaps ha he p esen s udy add esses:
 Limi ed u ban-India–speci ic e idence on Digi al Financial Li e acy (DFL): Despi e apid in ech
pene a ion in me opoli an ci ies, e y ew s udies empi ically examine DFL among u ban Indian
consume s.
 Unde explo ed psychological mechanisms: Exis ing esea ch inadequa ely add esses he ole o inancial
sel -e icacy in explaining how DFL ansla es in o ac ual inancial beha io .
 Lack o con ex ual mode a o s such as digi al us : Al hough digi al us is c i ical in in ech adop ion,
i s mode a ing impac on beha io al ela ionships emains insu icien ly s udied.
 Absence o mode a ed media ion amewo ks: Indian digi al inance s udies a ely in eg a e DFL, sel -
e icacy, and us wi hin a condi ional indi ec e ec s model.
 Limi ed s udies cap u ing ad ances in in ech be ween 2023 and 2025: The apid e olu ion o UPI,
digi al lending, and AI-based inancial ools necessi a es upda ed empi ical models.
This s udy ills hese gaps by de eloping and alida ing a mode a ed media ion amewo k ha links DFL,
inancial sel -e icacy, digi al us , and consume inancial beha io wi hin India’s 2025 digi al inance
landscape.
STATEMENT OF THE PROBLEM
The apid expansion o India’s digi al inancial ecosys em d i en by UPI, mobile walle s, digi al lending
pla o ms, and app-based in es men se ices has ans o med he way u ban consume s manage, spend, sa e,
and in es . Despi e his g ow h, signi ican gaps pe sis in consume s’ abili y o unde s and, e alua e, and use
digi al inancial se ices sa ely and e ec i ely. E idence indica es ha many use s adop digi al inance wi hou
adequa e digi al inancial li e acy (DFL), lea ing hem ulne able o poo inancial decisions, aud, da a
misuse, and o e -bo owing.
Mo eo e , p io s udies ha e p ima ily examined gene al inancial li e acy o echnology adop ion bu ha e no
su icien ly explo ed how DFL shapes ac ual consume inancial beha io , no he mechanisms h ough which
his in luence ope a es. The ole o pe cei ed isk, us , and digi al a i ude as media ing o mode a ing
a iables emains unde - esea ched in he Indian u ban con ex , especially in ligh o new in ech inno a ions
and egula o y changes in oduced in 2023–2025.
This gap highligh s he need o an empi ical model ha can explain how and unde wha condi ions digi al
inancial li e acy a ec s consume inancial beha io . Hence, he p esen s udy in es iga es he pa hways
linking DFL o consume beha io , inco po a ing media ion and mode a ion e ec s o p o ide a deepe
unde s anding o consume dynamics in India’s as -e ol ing digi al inance landscape.
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OBJECTIVES
The s udy is guided by he ollowing objec i es:
 To examine he impac o Digi al Financial Li e acy (DFL) on consume inancial beha io in he con ex o
India’s apidly expanding digi al inancial ecosys em.
 To de e mine whe he inancial sel -e icacy media es he ela ionship be ween DFL and consume inancial
beha io , he eby explaining he psychological mechanism h ough which li e acy in luences inancial
ac ions.
 To es whe he pe cei ed digi al us mode a es he ela ionship be ween inancial sel -e icacy and
inancial beha io , s eng hening o weakening his linkage based on he le el o us in digi al inancial
se ices.
 To alida e an in eg a ed mode a ed media ion model ha cap u es he combined e ec s o DFL, inancial
sel -e icacy, and digi al us on inancial beha io among u ban Indian consume s.
HYPOTHESES
Based on he concep ual model and p io empi ical indings, he ollowing hypo heses a e p oposed:
 H1: Digi al inancial li e acy (DFL) posi i ely in luences consume inancial beha io .
 H2: Digi al inancial li e acy (DFL) posi i ely a ec s inancial sel -e icacy.
 H3: Financial sel -e icacy posi i ely in luences consume inancial beha io .
 H4: Financial sel -e icacy media es he ela ionship be ween DFL and consume inancial beha io .
 H5: Pe cei ed digi al us mode a es he ela ionship be ween inancial sel -e icacy and consume inancial
beha io , such ha he ela ionship is s onge a highe le els o pe cei ed digi al us .
 H6: The indi ec e ec o DFL on consume inancial beha io h ough inancial sel -e icacy is con ingen
upon he le el o pe cei ed digi al us (mode a ed media ion).
RESEARCH METHODOLOGY
Resea ch Design
A quan i a i e, desc ip i e, and causal esea ch design was adop ed o empi ically examine he p oposed
mode a ed media ion amewo k. S uc u al Equa ion Modelling (SEM) and he PROCESS Mac o we e used o
es di ec , indi ec , and condi ional indi ec e ec s among he s udy a iables.
S udy A ea and Pe iod
The s udy was conduc ed ac oss i e majo Indian me opoli an ci ies—Delhi, Mumbai, Bengalu u, Chennai,
and Hyde abad—which ep esen he coun y’s mos ad anced digi al inance ecosys ems. Da a collec ion ook
place be ween Feb ua y and Sep embe 2025.
Sampling P ocedu e
 Popula ion: Adul s aged 18 yea s and abo e who use digi al inancial se ices.
 Sample Size: 320 esponden s.
 Sampling Technique: S a i ied pu posi e sampling based on ci y and age g oups (18–30, 31–45, 46+),
ensu ing balanced ep esen a ion ac oss demog aphic clus e s.
 Inclusion C i e ion: Pa icipan s mus ha e used a leas one digi al inancial se ice (e.g., UPI, mobile
banking, digi al walle s) wi hin he p e ious six mon hs.
Ins umen a ion
A s uc u ed ques ionnai e comp ising alida ed, mul i-i em scales measu ed he ollowing cons uc s:
 Digi al Financial Li e acy (DFL)
 Financial Sel -E icacy
 Pe cei ed Digi al T us
 Consume Financial Beha io
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 Demog aphic P o ile
All i ems we e a ed on a 5-poin Like scale, anging om s ongly disag ee (1) o s ongly ag ee (5). The
ins umen inco po a ed es ablished scales adap ed o he Indian digi al inancial con ex .
S a is ical Tools
The ollowing s a is ical echniques we e employed:
 Desc ip i e s a is ics (mean, SD, equencies)
 Reliabili y analysis (C onbach’s α)
 Cons uc alidi y assessmen (Composi e Reliabili y, A e age Va iance Ex ac ed)
 Co ela ion analysis
 Mul iple eg ession analysis
 SEM using AMOS/Sma PLS o model es ima ion
 PROCESS Mac o (Model 7) using 5,000 boo s ap samples o es mode a ed media ion e ec s
DATA ANALYSIS AND RESULTS
Desc ip i e S a is ics
Table 1 p esen s he mean and s anda d de ia ion alues o he majo cons uc s. O e all, esponden s epo ed
ela i ely high le els o digi al inancial li e acy, inancial sel -e icacy, and esponsible inancial beha io .
Table 1: Desc ip i e S a is ics
Va iable
Mean
SD
Digi al Financial Li e acy
4.08
0.66
Financial Sel -E icacy
4.15
0.63
Digi al T us
3.90
0.72
Financial Beha iou
4.18
0.68
Reliabili y and Validi y
The in e nal consis ency and con e gen alidi y o all cons uc s we e assessed using C onbach’s alpha (α),
Composi e Reliabili y (CR), and A e age Va iance Ex ac ed (AVE). As shown in Table 2, all alues exceeded
he ecommended h esholds (α > 0.70, CR > 0.70, AVE > 0.50), con i ming eliabili y and cons uc alidi y.
Table 2: Reliabili y and Validi y
Cons uc
α
CR
AVE
Digi al Financial Li e acy
0.90
0.92
0.57
Financial Sel -E icacy
0.88
0.90
0.56
Digi al T us
0.91
0.94
0.62
Financial Beha iou
0.87
0.89
0.54
S uc u al Model Fi
The s uc u al model was e alua ed using commonly accep ed i indices. As p esen ed in Table 3, all indices
me o exceeded ecommended h esholds, indica ing a s ong model i .
Table 3: Model Fi
Fi Index
Value
Th eshold
CFI
0.948
> 0.90
TLI
0.936
> 0.90
RMSEA
0.049
< 0.08
SRMR
0.045
< 0.08
PROCESS Mac o Resul s (Model 7)
The mode a ed media ion model was es ed using PROCESS Mac o (Model 7) wi h 5,000 boo s ap samples.
Resul s e eal signi ican di ec , indi ec , and in e ac ion e ec s.
 Digi al Financial Li e acy → Financial Sel -E icacy β = 0.55, p < 0.001
 Digi al Financial Li e acy → Financial Beha io β = 0.42, p < 0.001

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 Financial Sel -E icacy → Financial Beha io β = 0.36, p < 0.001
 Mode a ion E ec (Sel -E icacy × Digi al T us ) β = 0.23, p = 0.002
 Indi ec E ec (Media ion): 0.20 95% CI: 0.12 – 0.30
 Index o Mode a ed Media ion: 0.08 95% CI: 0.03 – 0.15
Since he con idence in e als do no include ze o, he media ion and mode a ed media ion e ec s a e
s a is ically signi ican . All hypo heses (H1–H6) a e suppo ed.
DISCUSSION
The s udy’s indings ea i m he c i ical ole o digi al inancial li e acy (DFL) in shaping consume inancial
beha io wi hin India’s apidly expanding digi al inancial ecosys em. Consis en wi h con empo a y global
esea ch, he esul s con i m ha indi iduals wi h highe DFL a e be e equipped o make in o med,
esponsible, and secu e inancial decisions in digi al en i onmen s. This unde sco es he con inued impo ance
o li e acy as a ounda ional de e minan o inancial ou comes.
A key con ibu ion o his s udy is he empi ical alida ion o inancial sel -e icacy as a cen al psychological
mechanism. The media ion esul s demons a e ha li e acy alone is no su icien ; a he , i ansla es in o
beha io p ima ily by enhancing indi iduals’ con idence in hei abili y o na iga e digi al inancial ools. This
aligns wi h beha io al inance heo ies highligh ing he ole o cogni i e and psychological capabili ies in
decision-making. Hence, con idence no jus knowledge eme ges as a decisi e ac o in shaping esponsible
inancial beha io .
The s udy also highligh s he c ucial ole o pe cei ed digi al us as a con ex ual mode a o . Findings show
ha highe le els o us s eng hen he in luence o inancial sel -e icacy on beha io . E en when indi iduals
possess adequa e li e acy and con idence, hei willingness o engage in sound digi al inancial p ac ices
depends signi ican ly on how sa e and eliable hey pe cei e digi al pla o ms o be. This unde sco es he
in e dependence o psychological eadiness and us in ins i u ional and echnological sys ems.
O e all, he esul s indica e ha digi al inancial li e acy, psychological empowe men , and digi al us join ly
de e mine inancial beha io in mode n digi al ecosys ems. These insigh s ex end exis ing li e a u e by
p o iding a mo e comp ehensi e unde s anding o he pa hways and condi ions unde which DFL leads o
imp o ed inancial beha io , pa icula ly in an eme ging-ma ke con ex like u ban India.
MANAGERIAL IMPLICATIONS
The indings o his s udy o e se e al ac ionable insigh s o policymake s, inancial ins i u ions, and
in ech se ice p o ide s:
 Expand Digi al Financial Li e acy (DFL) Ini ia i es Go e nmen agencies, in ech companies, and inancial
ins i u ions should collabo a e o design and scale comp ehensi e DFL p og ams. These ini ia i es mus
add ess no only basic digi al inancial knowledge bu also isk awa eness, cybe secu i y p ac ices, and
in o med decision-making. Ta ge ed in e en ions in majo u ban cen e s can signi ican ly enhance inancial
capabili y among digi ally ac i e consume s.
 In eg a e Con idence-Building Componen s in Use Educa ion Since inancial sel -e icacy plays a c i ical
media ing ole, digi al inancial educa ion p og ams should inco po a e beha io al aining modules ha
imp o e use s’ con idence in managing digi al inancial ools. In e ac i e simula ions, guided u o ials, and
expe ien ial lea ning can help indi iduals ansla e knowledge in o e ec i e ac ion.
 S eng hen Pla o m T us and Secu i y In as uc u e Fin ech p o ide s mus enhance us by ensu ing
s onge da a p o ec ion p o ocols, use - iendly secu i y ea u es, and anspa en communica ion ega ding
pla o m policies. P oac i e aud-p e en ion mechanisms such as eal- ime ale s, wo- ac o au hen ica ion,
and AI-based anomaly de ec ion can u he inc ease use us and educe pe cep ions o isk.
 Le e age AI-D i en Pe sonaliza ion and Beha io al Nudges AI-d i en insigh s can be used o deli e
pe sonalized inancial guidance, spending ale s, goal-se ing ools, and esponsible usage p omp s.
Beha io al nudges—such as eminde s, p og ess acking, and ewa d sys ems can ein o ce posi i e
inancial habi s and educe impulsi e o isky digi al inancial beha io .
Collec i ely, hese manage ial ac ions can signi ican ly enhance consume ou comes, s eng hen inancial
ecosys em esilience, and suppo sus ainable digi al inancial inclusion in India’s apidly e ol ing in ech
landscape.
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CONCLUSION
The s udy es ablishes ha digi al inancial li e acy (DFL) is a signi ican de e minan o consume inancial
beha iou in u ban India. Indi iduals wi h highe le els o DFL display mo e esponsible and in o med
inancial ac ions, demons a ing he c i ical ole o digi al compe encies in mode n inancial ecosys ems. The
indings u he e eal ha inancial sel -e icacy ac s as a cen al media ing mechanism, indica ing ha li e acy
alone is insu icien consume s mus also possess he con idence o apply hei knowledge e ec i ely in digi al
con ex s.
Addi ionally, pe cei ed digi al us signi ican ly mode a es he ela ionship be ween sel -e icacy and inancial
beha iou . Consume s who us digi al inancial pla o ms a e mo e likely o ansla e hei con idence in o eal
beha iou al ou comes, highligh ing us as a pi o al con ex ual enable o posi i e inancial p ac ices.
The alida ed mode a ed media ion model p o ides a comp ehensi e amewo k o unde s anding how
li e acy, psychological empowe men , and digi al us join ly shape inancial beha iou . O e all, he s udy
emphasizes he need o in eg a ed, mul i-dimensional s a egies ha enhance li e acy, build consume
con idence, and s eng hen us o p omo e inancial well-being in India’s apidly e ol ing digi al inancial
ecosys em.
LIMITATIONS
This s udy is subjec o se e al limi a ions. Fi s , he eliance on sel - epo ed da a may in oduce social
desi abili y and ecall bias, despi e he s a is ical measu es adop ed o mi iga e such e ec s. Second, he c oss-
sec ional esea ch design es ic s he abili y o d aw causal in e ences, as he ela ionships obse ed ep esen
associa ions a a single poin in ime. Thi d, he s udy sample is limi ed o u ban popula ions in majo
me opoli an ci ies, excluding u al and semi-u ban use s who may exhibi di e en le els o digi al inancial
li e acy and beha iou al pa e ns. Finally, he model does no inco po a e addi ional psychological cons uc s—
such as isk ole ance, digi al anxie y, o beha iou al biases which may u he explain a ia ions in digi al
inancial beha iou .
FUTURE RESEARCH
Fu u e s udies can ex end he p esen indings in se e al meaning ul ways. Fi s , longi udinal esea ch designs
should be employed o cap u e changes in digi al inancial beha iou o e ime and o s eng hen causal
in e ence. Second, expanding he scope o u al and semi-u ban popula ions would p o ide a mo e
comp ehensi e unde s anding o digi al inancial li e acy and us ac oss di e se socio-economic con ex s.
Thi d, eme ging AI-d i en digi al li e acy in e en ions such as pe sonalized lea ning modules, con e sa ional
agen s, and au oma ed inancial coaching wa an empi ical explo a ion o assess hei e ec i eness in
enhancing inancial capabili y. Finally, compa a i e s udies ac oss demog aphic segmen s, including age,
income, educa ion, and occupa ion g oups, would help iden i y he e ogeneous beha iou al pa e ns and ailo
in e en ions mo e e ec i ely.
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