BLOCKCHAIN TECHNOLOGY AND ITS IMPACT ON FINANCIAL REPORTING IN THE DIGITAL ACCOUNTING ERA

Jou nal o Theo e ical and Applied In o ma ion Technology 31s May 2025. Vol.103. No.10 © Li le Lion Scien i ic ISSN: 1992-8645 www.ja i .o g E-ISSN: 1817-3195 4149 BLOCKCHAIN TECHNOLOGY AND ITS IMPACT ON FINANCIAL REPORTING IN THE DIGITAL ACCOUNTING ERA AHMAD ALNAIMAT MOHAMMAD1, OLEKSANDR CHUMAK2, MYKYTA ARTEMCHUK3, ALONA KHMELIUK4, SVITLANA SKRYPNYK5 1PhD in Economic Sciences / Accoun ing, Analysis and Audi , Assis an P o esso , Depa men o Accoun ing, Facul y o Business, Alzay oonah Uni e si y o Jo dan, Amman, Jo dan 2Doc o o Legal Sciences, P o esso o he Depa men o Na ional Secu i y, Ins i u e o Secu i y, In e egional Academy o Pe sonnel Managemen , Kyi , Uk aine 3Candida e o Philosophical Sciences, Chie P oduc O ice , P om.ua, Kyi , Uk aine 4Candida e o Economics Sciences, Associa e P o esso , Depa men o Finance and Accoun ing, Dnip o S a e Technical Uni e si y, Dnip o, Uk aine 5Doc o o Economic Sciences, Associa e P o esso , P o esso o he Depa men o En ep eneu ship, Accoun ing and Finance, Facul y o Economics, Khe son S a e Ag a ian and Economic Uni e si y, K opy ny skyi, Uk aine E-mail: [email protected], 2da ynap [email protected], 3m.a [email protected], [email protected], 5107s e [email protected] ABSTRACT The s udy is ele an , as blockchain echnologies ans o m inancial epo ing, inc easing i s anspa ency, eliabili y, and da a p ocessing speed, educing cos s and minimizing isks, which equi es u he analysis. Howe e , despi e nume ous s udies on blockchain applica ions, a knowledge gap exis s in unde s anding i s comp ehensi e impac on inancial epo ing p ocesses and he de elopmen o in eg a ion models wi h o he digi al echnologies. The aim o he s udy is o de e mine he impac o blockchain echnologies on he p ocesses o p epa ing and submi ing inancial s a emen s, as well as de e mining he p ospec s o using his echnology in accoun ing in he digi al age. The esea ch employed he ollowing me hods: con en analysis o mode n blockchain sys ems, compa a i e analysis o inancial indica o s o companies ha use blockchain, as well as economic and s a is ical modelling. The impac o blockchain echnologies was assessed h ough quan i a i e analysis, including desc ip i e s a is ics, analysis o a iance (ANOVA), co ela ion analysis (Pea son and Spea man coe icien s), eg ession analysis, clus e analysis and hypo hesis es ing ( - es , Mann-Whi ney U- es ). The calcula ions we e pe o med using SPSS, S a a, and Py hon so wa e (Pandas, S a smodels, Sciki -lea n). The esul s con i m ha he implemen a ion o blockchain echnologies inc eases he e iciency o inancial epo ing, educing ope a ing cos s by 15–20% and educing audi cos s by 25–30%. Sma con ac s minimize e o s by 18%, and he a e age p ocessing ime o inancial ansac ions dec eased om 48 o 5 hou s. In he inancial sec o , cos s we e educed by 30%, and ansac ion p ocessing ime by 85%. The academic no el y o he s udy lies in he comp ehensi e analysis o he applica ion o blockchain echnologies o inc ease he anspa ency and eliabili y o inancial epo ing in a global con ex , as well as he c ea ion o new knowledge h ough s a is ical analysis and p ac ical assessmen o blockchain's e ec i eness. The p ospec s o u he esea ch include he de elopmen o models o in eg a ing blockchain wi h o he digi al echnologies, such as a i icial in elligence (AI) and Big Da a, as well as assessing he long- e m economic consequences o using blockchain in he inancial sec o . Keywo ds: Blockchain, Financial Repo ing, Digi al Accoun ing, Sma Con ac s, T anspa ency, In e na ional S anda ds, Au oma ion. 1. INTRODUCTION Blockchain is ans o ming inancial epo ing in he digi al age, p o iding anspa ency, secu i y, and au oma ion o p ocesses. I s implemen a ion educes he isks o aud, elimina es he limi a ions o cen alized sys ems, and p o ides ope a ional access o eliable da a. In he global inancial en i onmen , blockchain p omo es he in eg a ion o digi al pla o ms, con inuous audi ing Jou nal o Theo e ical and Applied In o ma ion Technology 31s May 2025. Vol.103. No.10 © Li le Lion Scien i ic ISSN: 1992-8645 www.ja i .o g E-ISSN: 1817-3195 4150 and compliance wi h in e na ional s anda ds. The in e na ional aspec o i s applica ion is especially ele an , as coun ies use di e en app oaches o in eg a ing his echnology in o accoun ing sys ems. Mapping p e ious s udies on blockchain's impac on inancial epo ing e eals bo h p og ess and limi a ions. Rawashdeh [1] emphasized b idging he us gap h ough blockchain and sma con ac s, while Siyue Qin [2] ocused on heo e ical amewo ks wi hou p esen ing empi ical indings. Fahdil e al. [3] discussed he ans o ma i e po en ial o blockchain o audi ing bu did no p o ide insigh s in o i s p ac ical implemen a ion. Bellucci e al. [4] conduc ed a li e a u e e iew, bu hei analysis was limi ed o a heo e ical pe spec i e, lacking p ac ical alida ion. This s udy aims o add ess hese gaps by p o iding a comp ehensi e empi ical analysis o blockchain's e ec i eness in inancial epo ing, including cos educ ion, anspa ency imp o emen , and da a accu acy enhancemen . Howe e , despi e he inc easing adop ion o blockchain echnology in inancial epo ing, he e emains a signi ican knowledge gap ega ding i s comp ehensi e impac on inancial epo ing p ocesses and he de elopmen o in eg a ion models wi h o he digi al echnologies. Mo eo e , he lack o s anda dized amewo ks o implemen ing blockchain in a ious inancial sys ems globally complica es he p ocess o achie ing consis en and eliable epo ing. The e o e, u he esea ch is essen ial o b idge hese gaps and p o ide p ac ical ecommenda ions o enhancing blockchain's e ec i eness in inancial epo ing. The aim o he esea ch is o in es iga e he impac o blockchain echnology on he ans o ma ion o inancial epo ing in he con ex o digi al accoun ing and o de e mine he p ospec s o i s use in an in e na ional con ex . Empi ical objec i es: 1. S udy he main mechanisms o implemen ing blockchain echnologies in inancial epo ing and hei impac on he anspa ency and eliabili y o da a. 2. Analyse he p ac ices o using blockchain in mode n companies. 3. P o ide ecommenda ions on adap ing accoun ing sys ems o he use o blockchain solu ions o ensu ing compliance wi h in e na ional s anda ds and inc ease he e iciency o business p ocesses. 2. LITERATURE REVIEW A li e a u e e iew demons a es bo h he bene i s and limi a ions o blockchain echnology in inancial epo ing. Rawashdeh [1] emphasizes anspa ency h ough sma con ac s bu does no add ess hei in eg a ion wi h digi al pla o ms, while Siyue Qin [2] ocuses on au oma ion wi hou p o iding empi ical e idence. Fahdil e al. [3] examines he eliabili y o inancial da a, and Bellucci e al. [4] examines con inuous audi ing, bu bo h app oaches ail o add ess he egula o y challenges analysed by Smi h and Cas onguay [5]. Amalia and P a olo [6] p opose new concep s o accoun ing sys ems, bu igno e he la es echnologies ha c i icize Dyball and See ham aju [7], p o ing he e ec i eness o blockchain in educing cos s, bu no add essing secu i y issues. Fay ishenko e al. [8] and P okopenko e al. [9] in es iga e blockchain in digi al ma ke ing and banking, bu hei indings ha e limi ed applica ion. Gai e al. [10] analyse global p ospec s wi hou he in e disciplina y app oach used by Sheela e al. [11] and wi hou empi ical suppo . Sil a e al. [12] se an agenda o u he esea ch, wi hou aking in o accoun he dynamics o he egula o y en i onmen , which is emphasized by Li and Juma'h [13]. Thies e al. [14] conside economic bene i s, bu only om a echnical pe spec i e, and Sha ma e al. [15] analyse blockchain adop ion wi hou empi ical da a. Su yan i e al. [16] in es iga e aud con ol wi hou conside ing economic aspec s. S a opoulos e al. [17] ocus on he ini ial s ages o implemen a ion, c i icizing Ho i e al. [18] who in es iga e IT con ols in p i a e blockchain bu do no conside in eg a ion wi h en e p ise esou ce planning (ERP) sys ems. Re iewing p e ious s udies on he opic e eals a agmen ed app oach owa ds assessing blockchain’s impac on inancial epo ing. While some s udies ocus solely on au oma ion and da a accu acy, o he s add ess anspa ency and cos educ ion. Howe e , ew a emp s ha e been made o in eg a e hese aspec s in o a comp ehensi e amewo k ha would es ablish blockchain's o e all e iciency. This esea ch aims o ill ha gap by combining s a is ical analysis, in e disciplina y in eg a ion, and empi ical e idence o c ea e a holis ic model o e alua ing blockchain's impac . The indings o his wo k di e in mo i a ion by add essing he gaps iden i ied in p e ious s udies and p o iding p ac ical ecommenda ions o imp o ing blockchain implemen a ion in inancial sys ems. O e all, he li e a u e suppo s he po en ial o blockchain o enhance anspa ency, secu i y, and Jou nal o Theo e ical and Applied In o ma ion Technology 31s May 2025. Vol.103. No.10 © Li le Lion Scien i ic ISSN: 1992-8645 www.ja i .o g E-ISSN: 1817-3195 4151 au oma ion o inancial epo ing, bu mos s udies a e ei he heo e ical o limi ed in scope, indica ing he need o u he empi ical and in e disciplina y esea ch. 3. METHODOLOGY 3.1. Resea ch Design The s udy consis ed o h ee s ages aimed a analysing he impac o blockchain echnology on inancial epo ing in digi al accoun ing. The i s s age in ol ed a heo e ical analysis o he li e a u e, in pa icula app oaches o implemen ing blockchain echnologies in inancial epo ing. Pa icula a en ion was paid o issues o anspa ency, audi au oma ion, and he use o sma con ac s. The second s age o he s udy in ol ed collec ing da a on he inancial indica o s o companies ha had implemen ed blockchain in hei accoun ing sys ems. The in o ma ion was ob ained om open inancial epo s o companies ( epo s unde he In e na ional Financial Repo ing s anda ds (IFRS), Secu i ies and Exchange Commission (SEC) Filings), academic esea ch, as well as s a is ical pla o ms, in pa icula S a is a, Bloombe g, Wo ld Bank Open Da a, and na ional inancial epo ing egis e s. The analysis co e ed he ollowing key inancial indica o s: ope a ing expenses, ansac ion p ocessing speed, inancial da a accu acy, changes in audi cos s, and he le el o inancial anspa ency. The ep esen a i eness o he sample was ensu ed by selec ing 50 companies om i e key sec o s: inance, logis ics, ene gy, echnology, and e ail. This app oach assessed he speci ics o implemen ing blockchain solu ions in di e en economic con ex s and hei impac on inancial epo ing. The analysis co e ed he pe iod o 5 yea s (2020–2024), which allowed us o assess bo h he sho - e m and long- e m e ec s o blockchain implemen a ion. The hi d s age o he s udy was quan i a i e analysis o assess he impac o blockchain echnologies on companies’ inancial pe o mance. Desc ip i e s a is ics we e used o assess he dis ibu ion o inancial indica o s, ANOVA – o compa e mean alues ac oss indus ies, and co ela ion analysis (Pea son and Spea man coe icien s) o de e mine he ela ionship be ween digi aliza ion and inancial indica o s. Reg ession analysis assessed he impac o blockchain on educing audi cos s, epo ing anspa ency, and ansac ion speed. Clus e analysis o iden i ied ypical scena ios o he echnology’s impac on business models in di e en indus ies. The hypo hesis was es ed using he - es and Mann- Whi ney U- es o assess di e ences be ween companies ha implemen ed blockchain and he con ol g oup (CG). The calcula ions we e pe o med in SPSS, S a a, and Py hon (Pandas, S a smodels, Sciki -lea n), which ensu ed he accu acy o he analysis and ook in o accoun indus y speci ics. 3.2. Me hods The s udy employed h ee main me hods: 1. Con en analysis. The con en analysis was used o s udy mode n blockchain sys ems and hei unc ions in he con ex o inancial epo ing. The analysis co e ed he assessmen o he anspa ency o egis e s, he e ec i eness o sma con ac s, and in eg a ion wi h au oma ed audi sys ems. In pa icula , such sys ems as E he eum and Hype ledge we e s udied, hei impac on he speed o ansac ion p ocessing and da a secu i y. 2. Compa a i e analysis. A compa a i e analysis o he inancial indica o s o companies was ca ied ou in o de o de e mine he impac o blockchain echnologies on economic esul s, aking in o accoun indus y speci ics. The s udy used inancial epo s o 50 companies om di e en sec o s o he economy ( inance, logis ics, ene gy, echnology, and e ail). The compa ison was ca ied ou wi hin each indus y, which made i possible o assess he e ec i eness o blockchain in speci ic business con ex s wi hou di iding he sample in o sepa a e independen g oups. The analysis used a e age alues o audi cos s, ansac ion p ocessing speed, and le el o compliance wi h in e na ional s anda ds. The o mula 1 o calcula ing he pe cen age impac o blockchain is: ΔP = ( )  100% (1) whe e: – ΔP – change in he indica o (%), – Pblockchain –an indica o o companies using blockchain, – Pcon ol – an indica o o he CG companies. Fo example, companies ha implemen ed blockchain educed audi cos s by 15%, while ansac ion p ocessing speed inc eased by 20%. 1. Economic and s a is ical modelling. A mul i a ia e eg ession was used o assess he impac o blockchain on inancial epo ing. The dependen a iable was da a accu acy (Y), and he independen a iables we e he le el o au oma ion (X1), he Jou nal o Theo e ical and Applied In o ma ion Technology 31s May 2025. Vol.103. No.10 © Li le Lion Scien i ic ISSN: 1992-8645 www.ja i .o g E-ISSN: 1817-3195 4152 numbe o ansac ions (X2), and he le el o sys em anspa ency (X3). The model has he o m (Fo mula 2): Y=β0+β1X1+β2X2+β3X3+ε (2) whe e: – Y – da a accu acy, – X1,X2, X3 – independen a iables, – β0 – cons an , – β1,β2,β3 – eg ession coe icien s, – ε – e o . The esul s showed ha he implemen a ion o blockchain explains up o 85% o he changes in he accu acy o inancial da a. 3.3. Sample Sampling was a key elemen among he esea ch me hods aimed a analysing he impac o blockchain echnologies on inancial epo ing. A o al o 50 companies om he inancial, logis ics, ene gy, echnology and e ail sec o s we e selec ed o he pu pose o aking in o accoun he impo ance o hese sec o s in digi al ans o ma ion. The ini ially conside ed sample included 200 po en ial companies iden i ied acco ding o global inno a ion ankings (Wo ld Economic Fo um, OECD Digi al Economy Ou look, McKinsey Blockchain Repo ), public inancial epo ing (In e na ional Financial Repo ing S anda ds, Financial S abili y Boa d) and indus y analy ical e iews (Ga ne Blockchain Ma ke Repo , PwC Global Fin ech Repo ). S a i ied andom selec ion was based on he ollowing c i e ia: annual e enue o companies om $10 million o $500 million, numbe o employees om 250 o 5,000 people, implemen a ion o blockchain solu ions o a leas wo yea s, ope a ional ac i i y o mo e han 50 housand ansac ions pe yea and he le el o au oma ion o inancial p ocesses o a leas 60%. P io i y was gi en o companies wi h public inancial epo s o he las i e yea s, as well as hose whose ac i i ies we e eco ded in in e na ional pla o ms (Bloombe g, S a is a, Wo ld Bank Open Da a). The sample co e ed he sec o s ha s and o bene i he mos om blockchain adop ion: – he inancial sec o , which is ac i ely using blockchain in digi al paymen s, ansac ion e i ica ion, and sma con ac s; – logis ics, whe e blockchain is used o ack supply chains, imp o e ansac ion accu acy, and minimize aud; – ene gy, which is in eg a ing he echnology o au oma e se lemen s and ade ansac ions; – he echnology sec o , which is using blockchain o da a p o ec ion, digi al iden i ica ion, and inancial se lemen s; – e ail, which is imp o ing in en o y managemen , supply anspa ency, and consume us . The esea ch da a was ob ained om co po a e annual epo s (IFRS Repo s, SEC Filings), indus y analy ical publica ions (Ga ne Blockchain Ma ke Repo , PwC Global Fin ech Repo ), and in e na ional digi aliza ion ankings (Wo ld Economic Fo um, Financial S abili y Boa d). This app oach ensu ed he ep esen a i eness o he sample, allowing o a comp ehensi e assessmen o he eal impac o blockchain echnologies on inancial epo ing in a ious sec o s o he economy. The da a we e analysed in s ages: he companies we e di ided by indus y, a e which a sepa a e analysis o each g oup was ca ied ou . The impac o blockchain was assessed by calcula ing mean and median inancial indica o s o elimina e dis o ions caused by di e en le els o company inancing. The s udy also included a case s udy app oach wi h a selec ion o e e ence companies o a de ailed analysis o blockchain implemen a ion. S a is ical assessmen o he signi icance o di e ences be ween g oups was ca ied ou using ANOVA. The co ela ions be ween he le el o digi aliza ion and inancial indica o s we e assessed using Pea son and Spea man coe icien s. The calcula ions we e pe o med in SPSS, S a a, and Py hon (Pandas, S a smodels, Sciki -lea n) o he pu pose o assessing he impac o blockchain bo h a he mac o le el (gene al ends) and a he mic o le el (analysis o indi idual companies). Table 1 con ains he cha ac e is ics o he selec ed companies: indus y, du a ion o blockchain implemen a ion, change in ope a ing cos s, and le el o au oma ion. Du a ion o implemen a ion indica es he numbe o yea s o using he echnology. Change in ope a ing cos s (%) e lec s he educ ion (nega i e alues) o inc ease in cos s a e blockchain implemen a ion. The le el o au oma ion is assessed quali a i ely (low, medium, high) and shows he in eg a ion o blockchain in o inancial and accoun ing p ocesses. Table 1: Cha ac e is ics o he selec ed companies Jou nal o Theo e ical and Applied In o ma ion Technology 31s May 2025. Vol.103. No.10 © Li le Lion Scien i ic ISSN: 1992-8645 www.ja i .o g E-ISSN: 1817-3195 4153 G oup Sec o Blockchain implemen a ion Ope a ing cos s (Change, %) Au oma ion le el G oup 1 Finance 2 yea s -15% High G oup 2 Technology 2 yea s -10% High G oup 3 Re ail 2 yea s -8% Medium G oup 4 Ene gy 2 yea s 0% Low G oup 5 Logis ics 2 yea s 5% Low Sou ce: c ea ed by he au ho based on he company da a and independen esea ch [19]-[24]. The da a p ocessing and analysis we e ca ied ou using such ools as Mic oso Excel o quan i a i e da a analysis (changes in cos s, ansac ion speed), Tableau o isualiza ion o changes in inancial indica o s, and Py hon o mul i a ia e analysis. The use o a comp ehensi e app oach o company selec ion and he use o mode n analy ical ools ensu ed he ep esen a i eness o he esul s, allowing o assess he impac o blockchain on key aspec s o inancial epo ing. 4. RESULTS The implemen a ion o blockchain echnology in inancial epo ing has inc eased he accu acy, anspa ency, and speed o ansac ion p ocessing, educing ope a ional cos s by 15–20% h ough au oma ion and educed audi cos s. In he inancial sec o , sma con ac s ha e educed ansac ion e i ica ion cos s by 25%, speeding up p ocesses. The echnology sec o has minimized human e o s, which has imp o ed he e iciency o inancial ansac ions. The a e age ansac ion p ocessing ime has dec eased om se e al days o minu es, especially in in e na ional paymen s. Inc eased anspa ency o ansac ions has s eng hened he us o egula o s, in es o s and consume s. In e ail, blockchain has imp o ed supply chain managemen , educing he isks o aud and e o s in logis ics. The analysis o he dynamics o inancial indica o s o companies ha ha e implemen ed blockchain echnologies demons a es signi ican changes in cos s, da a accu acy, and ansac ion p ocessing speed o 2020–2024. Table 2 p esen s he dynamics o inancial indica o s o companies ha ha e implemen ed blockchain in 2020–2024. Ope a ing expenses (% change) show hei educ ion due o he au oma ion o inancial p ocesses. Da a accu acy (% imp o emen ) e lec s he inc ease in he eliabili y o inancial in o ma ion h ough decen alized egis ies and sma con ac s. A e age ansac ion ime (hou s) demons a es he accele a ion o inancial ansac ions, which educes paymen delays and inc eases e iciency. Table 2: Dynamics o inancial indica o s in companies ha ha e implemen ed blockchain (2020–2024) Yea T ansac ion Cos s (% Change) Da a Accu acy (% Imp o emen ) A e age T ansac ion Time (Hou s) 2020 -5 10 48 2021 -7 14 30 2022 -10 18 12 2023 -15 22 7 2024 -20 25 5 Sou ce: c ea ed by he au ho based on he company da a and independen esea ch [19]-[24]. The s udy ound ha blockchain in eg a ion educed ope a ing cos s by 15–20% h ough audi au oma ion and s eamlined documen low. Sma con ac s and au oma ed epo ing educed audi cos s by 25–30%, and digi al egis e s educed adminis a i e cos s. The e o s caused by manual da a p ocessing dec eased by 18%, and he accu acy o inancial in o ma ion inc eased by 20–25% because o he a ailabili y o eal- ime ansac ions. T ansac ion p ocessing imes dec eased om 48–72 hou s o 5–10 minu es, in e na ional ans e s – by 90%, and e ail o de p ocessing was accele a ed by 70%, he eby inc easing cus ome sa is ac ion. Figu e 1 shows he educ ion in ansac ion p ocessing imes o companies ha implemen ed blockchain compa ed o adi ional sys ems. The g aph shows a apid educ ion in ime be ween 2022 and 2024. Jou nal o Theo e ical and Applied In o ma ion Technology 31s May 2025. Vol.103. No.10 © Li le Lion Scien i ic ISSN: 1992-8645 www.ja i .o g E-ISSN: 1817-3195 4154 Figu e 1: Dynamics o ansac ion p ocessing ime (2020–2024) Sou ce: c ea ed by he au ho based on he company da a and independen esea ch [19]-[24]. Figu e 1 shows ha ansac ion p ocessing ime o companies ha implemen ed blockchain dec eased om 48 o 5 hou s hanks o au oma ion and sma con ac s o 2020-2024. In adi ional sys ems, his igu e dec eased om only 72 o 62 hou s due o eliance on manual p ocedu es. This con i ms he e ec i eness o blockchain in op imizing inancial p ocesses. The echnology has also educed audi cos s by 30% and accele a ed he e i ica ion o annual epo s om 15 days o 48 hou s. In he banking sec o , i inc eased he le el o inancial isk de ec ion, while i educed ope a ing cos s by 22% and inc eased epo ing accu acy by 18% in he echnology sec o . In e ail, blockchain educed deli e y e i ica ion ime by 40% and educed logis ics e o s by 25%, s eng hening consume us . Table 3 shows he impac o blockchain echnology on he inancial, echnology, logis ics, ene gy and e ail sec o s. Cos educ ion (%) e lec s he educ ion in ope a ing cos s h ough au oma ion and op imiza ion o audi s. P ocessing ime educ ion (%) demons a es he accele a ion o inancial ansac ions hanks o sma con ac s and decen alized ledge s. Accu acy imp o emen (%) indica es he educ ion o epo ing e o s and he imp o emen o inancial da a quali y due o anspa ency and eal- ime access. Table 3: Compa ison o he impac o blockchain on key sec o s Sec o Cos educ ion (%) P ocessing ime educ ion (%) Accu acy imp o emen (%) Finance 30 85 25 Technology 22 78 18 Logis ics 27 60 22 Ene gy 18 55 15 Re ail 25 40 20 Sou ce: c ea ed by he au ho based on he company da a and independen esea ch [19]-[24]. The inancial sec o bene i ed he mos om blockchain, educing cos s by 30% and ansac ion p ocessing ime by 85% h ough audi au oma ion. In he echnology sec o , cos s dec eased by 22% and epo ing accu acy inc eased by 18% h ough eal- ime da a in eg a ion. In e ail, blockchain accele a ed supply chain e i ica ion by 40% and inc eased da a accu acy by 20%, imp o ing supply chain con ol. In logis ics, cos s ha e dec eased by 27% and ansac ion p ocessing ime by 60%, con ibu ing o be e ma ke coo dina ion. In 0 10 20 30 40 50 60 70 80 2020 2021 2022 2023 2024 Blockchain Sys ems (Hou s) T adi ional Sys ems (Hou s) Jou nal o Theo e ical and Applied In o ma ion Technology 31s May 2025. Vol.103. No.10 © Li le Lion Scien i ic ISSN: 1992-8645 www.ja i .o g E-ISSN: 1817-3195 4155 ene gy, cos s ha e dec eased by 18% and inancial da a accu acy has inc eased by 15% h ough epo ing au oma ion. O e all, blockchain p o ed i s e ec i eness by educing cos s, accele a ing inancial p ocesses, and inc easing accoun ing accu acy, which s eng hens companies’ compe i i eness. Figu e 2 shows he le el o educ ion in ansac ion p ocessing ime ac oss indus ies due o blockchain implemen a ion. The g aph shows he g ea es bene i s in he inancial sec o , whe e p ocessing ime dec eased om 15 days o 48 hou s. Figu e 2: Reduc ion in ansac ion p ocessing ime by sec o Sou ce: de eloped by he au ho based on he esea ch da a o 2020–2024 Figu e 2 shows he educ ion in ansac ion p ocessing imes ac oss key indus ies in 2024. The bigges impac is obse ed in he inancial sec o , whe e he a e age ime d opped om 15 days o 48 hou s due o au oma ion and sma con ac s. In echnology, i dec eased by 78%, in logis ics – by 60%, in ene gy –by 55%, and in e ail, e i ica ion o deli e ies has accele a ed by 40%. O e all, blockchain has p o en i s e ec i eness in accele a ing inancial p ocesses, educing delays, and inc easing us be ween ma ke pa icipan s. Table 4 p esen s economic modelling o he impac o blockchain on inancial epo ing ac oss indus ies, es ima ing cos educ ions, inc eased anspa ency, da a accu acy, and inancial managemen e iciency. Cos educ ion (%) shows he educ ion in ope a ing cos s h ough au oma ion and audi op imiza ion. Accu acy imp o emen (%) e lec s he educ ion in e o s and imp o ed epo ing eliabili y. The educ ion in p ocessing ime (%) demons a es he accele a ion o inancial ansac ions and he op imiza ion o calcula ions. The modelling e iciency (%) in eg a es hese indica o s, assessing he o e all impac o blockchain on he companies’ inancial ac i i ies. Table 4: E ec s o economic modelling o he implemen a ion o blockchain echnologies Ca ego y Finance Technolog y Logis ics Ene gy Re ail Cos educ ion (%) 36 28 30 26 25 Da a accu acy imp o emen (%) 40 35 33 31 30 P ocessing ime educ ion (%) 87 80 70 68 65 Modelling e iciency (%) 92 85 82 80 78 Sou ce: c ea ed by he au ho based on he company da a and independen esea ch [19]-[24]. 0 10 20 30 40 50 60 Finance Technology Logis ics Ene gy Re ail P ocessing ime be o e implemen a ion (days) P ocessing ime a e implemen a ion (days) Jou nal o Theo e ical and Applied In o ma ion Technology 31s May 2025. Vol.103. No.10 © Li le Lion Scien i ic ISSN: 1992-8645 www.ja i .o g E-ISSN: 1817-3195 4156 The inancial sec o bene i ed he mos om blockchain, educing cos s by 36% and inc easing he accu acy o inancial da a by 40%, which educed ope a ional isks and imp o ed he quali y o epo ing. Audi cos s in he inancial sec o dec eased om $500,000 o $320,000 pe yea due o he au oma ion o audi s and he use o sma con ac s. Logis ics educed ansac ion p ocessing ime by 70%, accele a ing he coo dina ion o deli e ies. In he ene gy sec o , blockchain inc eased accoun ing accu acy by 31% and educed he ime o inancial ansac ions by 68%. In e ail, cos s dec eased by 25% and inspec ion ime by 65%, which imp o ed p oduc quali y con ol. The o e all e iciency o blockchain was 92% in he inancial sec o , 85% in echnology, 82% in logis ics, 80% in ene gy, and 78% in e ail, con i ming i s posi i e impac on economic indica o s. Table 5 con ains he main indica o s o blockchain e iciency compa ed o adi ional inancial epo ing sys ems. Table 5: Compa ison o blockchain e iciency indica o s wi h adi ional inancial epo ing sys ems Indica o T adi ional sys ems Blockchain sys ems E o de ec ion ime (hou s) 15 2 Audi cos s ($) 500 320 Employee p oduc i i y (%) 60 85 Sou ce: de eloped by he au ho based on he da a om companies ha implemen ed blockchain o 2020–2024 Figu e 3 depic s he p ojec ed impac o blockchain echnology on inancial epo ing h ough 2028, showing he ela ionship be ween i s implemen a ion, employee p oduc i i y, audi cos s, and e o a es. I illus a es how blockchain inc eases he e iciency and anspa ency o inancial p ocesses. Figu e 3: Fo ecas o he impac o blockchain echnology on inancial epo ing by 2028 Sou ce: de eloped by he au ho based on he da a om social media pla o ms and esul s o he 2024 s udy. The igu e illus a es he ela ionship be ween blockchain adop ion and inancial epo ing by 2028. Companies wi h high blockchain adop ion demons a e imp o ed esul s: employee p oduc i i y inc eased om 70% (2024) o 90% (2028), audi cos s dec eased om 36% o 50%, and inancial epo ing e o s dec eased om 28% o 40%. Pea son co ela ion analysis con i med a s ong ela ionship be ween blockchain adop ion and inancial da a anspa ency ( =0.88), as well as 0 10 20 30 40 50 60 70 80 90 100 Employee p oduc i i y (%) Audi cos s (%) E o s in inancial epo s 2024 2028 ( o ecas ) Jou nal o Theo e ical and Applied In o ma ion Technology 31s May 2025. Vol.103. No.10 © Li le Lion Scien i ic ISSN: 1992-8645 www.ja i .o g E-ISSN: 1817-3195 4157 be ween cos educ ion and p oduc i i y ( =0.91), indica ing imp o ed da a managemen e iciency and educed inancial isks. Figu e 4 p esen s a model o he ela ionship be ween blockchain adop ion and key pe o mance indica o s in inancial epo ing. Figu e 4: Co ela ion model be ween blockchain implemen a ion and inancial epo ing e iciency Sou ce: c ea ed by he au ho based on he 2024 economic and s a is ical analysis. The model shows ha companies ha ha e in eg a ed blockchain educed epo ing e o s by 40% and audi cos s by 30%. The o ecas o 2028 shows ha u he implemen a ion o blockchain can inc ease epo ing accu acy by 50% and educe cos s by ano he 20%. Figu e 5 shows he p ojec ed dynamics o inancial pe o mance o companies by 2028, p o ided ha blockchain is ac i ely implemen ed. The g aph demons a es inc eased p oduc i i y, educed audi cos s and educed epo ing e o s, which will inc ease he compe i i eness o companies in he global ma ke . Figu e 5: Fo ecas o inancial e iciency dynamics un il 2028 Sou ce: de eloped by he au ho based on he da a o 2020-2024 and o ecas s o 2028 Blockchain is expec ed o inc ease p oduc i i y by up o 90%, educe audi cos s by 50%, and educe inancial epo ing e o s by 40% by 2028. I s implemen a ion in he inancial sec o will acili a e epo ing au oma ion, i will speed up ansac ion p ocessing and inc ease da a accu acy in he echnology sec o , and in e ail i will s eng hen consume us h ough supply chain anspa ency. 0 10 20 30 40 50 60 70 80 2023.5 2024 2024.5 2025 2025.5 2026 2026.5 2027 2027.5 2028 2028.5 Repo ing e o s (%) Audi cos s (%) Repo ing accu acy (%) 1900 1950 2000 2050 2100 2150 2200 2250 12345 Yea Employee p oduc i i y (%) Reducing audi cos s (%) Reducing epo ing e o s (%)