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American Journal of  Smart 
Technology and Solutions (AJSTS)

Influence of  Information and Communication Technologies (ICT) on the Modernity 
and Efficiency of  Public Services: An Integrative Literature Review 

Jorge Martins Fagundes1*, Ana Cláudia Mendes Coutinho Leandro2, Gislene Silva Lima2,
 José Wellgton do Nascimento2, Lucas Mendonça dos Santos2, Loide Helena Santos Moreira3, Noel Leal Ferreira4, Rafael Soares 

Cardoso5, Romara Holanda Lima4

Volume 4 Issue 2, Year 2025
ISSN: 2837-0295 (Online)

DOI: https://doi.org/10.54536/ajsts.v4i2.5806
https://journals.e-palli.com/home/index.php/ajsts

Article Information ABSTRACT

Received: July 27, 2025

Accepted: August 29, 2025

Published: November 11, 2025

The adoption of  information and communication technologies (ICTs) in the public sector has 
intensified in recent years, becoming a strategic necessity for modernizing services. However, 
persistent barriers, such as low digital literacy among servers, interoperability failures, 
and regulatory rigidity, limit the effects of  digital transformation, leading to incremental 
improvements rather than structural changes. For this reason, this study aims to analyze 
the impact of  ICT on the modernity and efficiency of  public services, highlighting both 
the potentialities and the obstacles of  the digitalization process. To this end, an integrative 
literature review was carried out, with searches in databases such as Web of  Science, Scopus 
and IEEE, in addition to empirical evidence from national research, allowing triangulation 
between international results and Brazilian cases. The findings reveal four core dimensions: 
(1) digital capacity building and literacy, (2) security and interoperability, (3) institutional 
capacity and regulatory frameworks, and (4) artificial intelligence, big data, and innovation. It 
is concluded that digital transformation can increase efficiency, transparency, and legitimacy 
of  public management, but its effectiveness depends on institutional, cultural, and regulatory 
reforms.

Keywords
Artificial intelligence, Digital 
transformation, Efficiency, ICT, 
Public administration

1 Universidade Federal Fluminense, Brazil
2 Metropolitan University of  Science and Technology, USA
3 Universidade Estadual do Maranhão, Brazil
4 Miami University of  Science and Technology, USA
5 Fundação Cesgranrio, Brazil
*Corresponding author’s e-mail: edson_nogueira@ufam.edu.br

INTRODUCTION 
In Brazil, the adoption of  information and communication 
technologies (ICT) in the public service has accelerated 
in recent years, but faces concrete challenges that affect 
administrative efficiency and the quality of  service 
delivery. According to Eom et al. (2022) For example, 
digital transformation is no longer just a resource 
and has become a strategic necessity, even though its 
implementation has revealed dilemmas, such as lack of  
training, institutional resistance, and inequalities in access 
to technology 
Given this complex scenario, this study is justified by its 
relevance in highlighting how digitalization can represent 
operational and managerial obstacles in the public sector, 
instead of  solving problems immediately. Thus, the 
objective of  this article is to analyze the impact of  ICT on 
the modernity and efficiency of  public services, pointing 
out both the potentialities and the obstacles that sustain 
this transformation process.
This analysis will be conducted through an integrative 
literature review, gathering recent empirical and theoretical 
evidence on the adoption of  technologies and their 
practical consequences in public management, allowing 
the identification of  patterns, gaps, and recommendations 
to promote more effective and inclusive transformations.

LITERATURE REVIEW
Verhoef  et al. (2021) state that digital transformation 
is not a mere technological upgrade, but a strategic 

reconfiguration that integrates data, platforms, and 
new value capture models; When aligned with strategy, 
digitalization increases efficiency, innovation, and 
competitive performance, requiring data governance 
and ecosystem orchestration. By demarcating conceptual 
boundaries between digitalization, digitization of  
processes, and digital transformation, the authors show 
that results depend on organizational and cultural 
complementarities, not just IT. This vision lays the 
conceptual foundation for the next blocks of  this funnel. 
Silva et al. (2024) reinforce that, although digital 
technologies such as blockchain, big data, and automation 
bring significant gains in efficiency and reliability 
to organizational processes, their incorporation still 
comes up against institutional barriers, high costs, and 
cultural resistance. This point shows that the same 
challenges that are presented in the private sector are 
also reflected, to a greater or lesser extent, in the public 
sector, where administrative modernization depends on 
technological integration and institutional adaptation. 
From this perspective, it is pertinent to analyze how ICTs 
influence the efficiency and modernity of  public services, 
considering both advances and structural limitations.
Corroborating this, Akter et al. (2020) demonstrate that 
synergies between AI, blockchain, cloud, and analytics 
(“ABCD”) generate transformational gains in processes 
and business models, but only materialize when there 
is robust data architecture, systemic integration, and 
organizational readiness. The authors argue that value 



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arises from coupling analytical capabilities, automation, 
and algorithmic trust, reducing informational frictions 
and coordination costs. Such a framework explains why 
“technology alone” is not enough without organizational 
design. 
Susanti et al. (2023) argue, based on a systematic 
review, that the performance resulting from digital 
transformation emerges from the coupling between 
technology, structure, and strategy with central roles for 
dynamic capabilities and data orientation. They show 
that organizations that combine IT, learning, and digital 
leadership capabilities convert technology investments 
into sustainable competitive advantage. The article thus 
provides a causal bridge between technology adoption 
and business results. 
Santos et al. (2025) argue that green and digital technologies 
go hand in hand in the transition to circular production 
models, reducing waste and improving efficiency through 
automation, traceability, and data analysis. By framing 
“clean technologies” as a vector of  innovation and 
productivity, the authors emphasize that technological 
modernization must be accompanied by outcome metrics 
and regulatory coherence to prevent greenwashing. 
This synthesis connects performance, sustainability, and 
digital. 
McAfee et al. (2023) show that, in organizational scenarios, 
AI especially machine learning creates great potential for 
productivity and new work-machine complementarities, 
but requires institutional design to mitigate biases, ensure 
interpretability, and capture gains in scale. The central 
thesis is that economic gains appear when firms redesign 
processes and incentives to absorb AI, not when they 
plug into siloed models. Such a finding guides adoption 
choices. 
Barba-Sánchez et al. (2024) empirically show that IT 
capabilities and digital orientation explain the effect of  
digital transformation on performance, mediating the 
impacts of  technological investments on results. The 
analysis indicates that companies with a digital-centric 
culture and analytical capabilities capture more value from 
automation, data, and analytics, reinforcing the idea of  
organizational complementarities as a causal mechanism. 
This anchors the “technology → performance” link. 
Monteiro et al. (2025) argue that interinstitutional 
collaborations in open innovation accelerate technological 
diffusion and sustain modernization trajectories, reducing 
the gap between technological supply and organizations’ 
absorption capacity. The study argues that networks 
between university-company-productive sector amplify 
knowledge transfer and shorten adoption cycles, a 
condition for transforming pilots into scalable routines. 
Such networks function as “invisible infrastructure” for 
innovation. 
Campana et al. (2025) argue that environmental 
accounting and ESG metrics underpinned by robust 
information systems align technological investment with 
measurable sustainable performance. The authors show 
that standardization of  indicators, independent auditing, 

and data governance reduce the risk of  greenwashing 
and redirect capital to projects with socio-environmental 
returns. Thus, digital and sustainability converge via 
reliable measurement and accountability. 
Liu et al. (2025) map, in a wide bibliometrics, digital 
entrepreneurship driven by big data, AI, and blockchain, 
concluding that such technologies expand business 
model possibilities and require continuous updating of  
skills. The work identifies thematic hotspots analytics, 
platforms, and security that serve as performance levers, 
creating space for new complementarities between 
automation and human creativity. 
Yang et al. (2023) systematize the explainable AI (XAI) 
literature and argue that interpretability is a requirement 
for trust, adoption, and algorithmic governance. In an 
organizational context, they justify that decisions assisted 
by XAI increase accountability and reduce operational 
risk, especially in regulated and high-impact domains. 
Therefore, layers of  explanation and monitoring are a 
constitutive part of  the modern technological “pile”, and 
not accessories. 
As Reis et al. (2023) observe, digital transformation 
cannot be understood only as the adoption of  disruptive 
technologies, but as a process of  structural reconfiguration 
that crosses sectors, requiring organizational, cultural, 
and regulatory adaptations. In this sense, advances in AI, 
big data, blockchain, and automation reveal not only new 
possibilities for efficiency and innovation in the business 
environment, but also pose unprecedented challenges 
for other institutional domains that need to respond to 
pressures for modernization and transparency. This is 
the inflection point that opens space to examine, in an 
applied way, how such dynamics manifest themselves 
in different organizational arrangements, preparing the 
ground for the analysis that follows.

MATERIALS AND METHODS
Research Strategy
The research was conducted as an Integrative Literature 
Review (RIL), combining systematicity with interpretative 
flexibility. The choice of  this method is justified by the 
need to gather, synthesize and compare theoretical and 
empirical evidence on the adoption of  information 
and communication technologies (ICT) in the public 
sector, allowing for the mapping of  both advances and 
limitations.
To ensure breadth and reliability, multiple databases 
recognized for their relevance were selected: Web of  
Science (WoS), Scopus, ScienceDirect, Emerald, IEEE 
Xplore, Google Scholar and national journals indexed in 
CAPES. These databases were chosen because they cover 
both articles of  high international impact and studies 
applied to the Brazilian context.

Search Procedures
Bilingual descriptors (Portuguese and English) were 
elaborated that covered the technological and institutional 
scope of  the investigation. Some examples:



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(“Information and Communication Technologies” OR 
ICT) AND (“public services” OR “public administration”)
(“Information and Communication Technologies” OR 
ICT) AND (“public service” OR “public administration”)
(“digital transformation” OR “e-government”) AND 
(“efficiency” OR “modernity”)
The searches were carried out for the period 2020–
2025, in order to ensure timeliness. In addition, articles 
produced by the authors’ research group, previously 
published in international journals, which provided direct 
empirical input (Neto et al., 2024; Souza et al., 2025; Silva 
et al., 2024, 2025; Monteiro et al., 2025).

Inclusion and Exclusion Criteria
• Inclusion: peer-reviewed articles, published between 

2020 and 2025, focusing on ICT, digital transformation, 
big data, AI, blockchain, interoperability, or administrative 
modernization.

• Exclusion: duplicate papers, book chapters without 
peer review, expanded conference abstracts, and studies 
dealing exclusively with the private sector with no 
analytical connection to public services.

Selection and Analysis
• The initial screening resulted in 144 publications. 

After applying the criteria, 19 articles were selected, 11 
from WoS and 8 produced by the research group. The 
analysis was carried out in two stages:

• Bibliographic Analysis: full reading of  the selected 
articles to identify key concepts, theoretical models and 
empirical evidence.

• Thematic Categorization: organization of  findings 
into four main categories (1) Digital training and literacy; 
(2) Security and interoperability; (3) Institutional capacity 
and regulatory framework; (4) AI, big data, and innovation 
in public services.

Analytics Integration
The final stage consisted of  the triangulation between 
international literature, national evidence (automation 
and telework projects in IFEs) and theoretical references 
of  digital transformation. This integration allowed both 
to compare global standards and to discuss specificities 
of  the Brazilian context. (1)

RESULTS AND DISCUSSION
Categorization Statement
To organize the analysis, it was decided to adopt 
a thematic categorization that emerges from both 
international studies and the national cases identified. 
This categorization allowed us to group the findings into 
four major analytical dimensions: (1) Digital training and 
literacy; (2) Security and interoperability; (3) Innovation 
and cultural change; and (4) Digital governance and 
leadership. This approach aims to articulate different 
perspectives from technical barriers to institutional and 
human factors offering an integrated view of  the impacts 
of  ICT on the modernity and efficiency of  public services.

Category 1 – Capacity Building and Digital Literacy
Dečman et al. (2022) argue that digital efficiency 
in the public sector is compromised by low digital 
literacy among civil servants and a lack of  institutional 
preparedness, resulting in superficial technical advances 
without structural changes. This structural limitation 
reverberates in the Brazilian context, where Souza et 
al. (2025) show that the adoption of  telework and SEI 
brought productivity gains only when accompanied 
by continued training and adjustments in performance 
evaluation criteria.
This finding connects to what Susanti et al. (2023) 
maintain: digital transformation does not depend only 
on technological adoption, but on the coupling between 
technology, structure, and strategy, with emphasis on 
dynamic capabilities and organizational learning as critical 
factors. In other words, the digital literacy of  public 
servants works as a causal link that transforms investment 
in technology into real efficiency gains.
In the same direction, Verhoef  et al. (2021) recall that 
digitalization only generates strategic impact when 
accompanied by data governance and ecosystem 
orchestration. Without a consolidated digital culture and 
servers prepared to handle new workflows, the adoption 
of  systems results in punctual modernization, but not in 
institutional transformation.
In addition, Akter et al. (2020) reinforce that emerging 
technologies such as AI, blockchain, and analytics require 
organizational readiness to generate value. This readiness, 
in the case of  the public sector, is translated into the 
ability of  civil servants to assimilate new tools and apply 
them to critical management processes.
Therefore, triangulation reveals that digital training and 
literacy is not peripheral, but a central condition for 
the success of  ICT in public administration. While our 
national data (Souza et al., 2025) confirm this thesis, the 
international literature (Dečman et al., 2022; Susanti et al., 
2023; Verhoef  et al., 2021; Akter et al., 2020) offers the 
theoretical basis to understand that digital transformation 
only occurs when people, processes, and technology 
evolve in an integrated way.

Category 2 – Security and Interoperability
Galushi & Malatji (2022) argue that the advancement 
of  digitalization in public services increases not only 
administrative efficiency, but also exposure to cyber 
threats and data protection failures. Citizen trust, 
therefore, depends on robust security policies and mature 
digital governance. This point is essential because, without 
protection mechanisms, the risk of  losing institutional 
legitimacy is greater than the benefits of  digitalization.
Correa-Ospina et al. (2021) complement by emphasizing 
that the efficiency of  ICT in the public sector is conditional 
on interoperability between systems. Initiatives that 
computerize processes without integrating departments 
only reproduce bureaucratic fragmentation. For there to 
be a real impact, digitalization needs to be accompanied 
by procedural reengineering and organizational culture 



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focused on intersectoral cooperation.
This reasoning dialogues with Silva et al. (2024), who 
show that emerging technologies such as blockchain and 
automation increase the reliability of  accounting and 
organizational processes precisely because they ensure 
transparency and traceability, reducing risks of  fraud and 
informational inconsistencies. Although the study deals 
with the private sector, the same principles apply to the 
public: without interoperability and security, digitalization 
results only in superficial modernization.
More broadly, Akter et al. (2020) highlight that the so-
called ABCD technologies (AI, blockchain, cloud, and 
data analytics) only produce transformational gains when 
there is systemic integration. In the case of  governments, 
this means that legacy systems need to talk to each other, 
and that the absence of  this integration not only limits 
results, but increases vulnerabilities.
Our national findings also converge with this diagnosis. 
Neto et al. (2024), when analyzing the payments sector 
of  the Federal University of  Amazonas, demonstrate that 
efficiency gains with automation were only consolidated 
because there was integration between launch systems 
and training of  servers to operate the new tools. Without 
this, automation would have increased errors instead of  
reducing them.
Thus, it is confirmed that security and interoperability 
are critical conditions for ICT to result in efficiency and 
legitimacy in the public sector. While international data 
point to cyber risks and integration failures (Galushi & 
Malatji, 2022; Correa-Ospina et al., 2021), our empirical 
results (Neto et al., 2024; Silva et al., 2024) show that 
well-structured interoperability and security practices can 
transform one-off  digitization into structural gains in 
reliability and productivity.

Category 3 – Institutional Capacity and Regulatory 
Framework
Saukkonen et al. (2024) demonstrate that the 
modernization of  public administration mediated by 
ICTs depends directly on regulatory agility. The research 
shows that excessive bureaucracy and slow adaptation of  
standards prevent digital innovations from being fully 
implemented, resulting in limited efficiency gains. This 
reading reinforces that digital transformation is only 
consolidated when regulations keep up with the speed of  
innovation.
Guo & Shen (2024) complement by arguing that visionary 
leadership is as important as technological investments. 
They note that public governance needs to engage multiple 
stakeholders, reduce institutional fragmentation, and 
ensure interoperability. In other words, technology only 
generates effective modernization when accompanied by 
the political and administrative capacity to orchestrate 
changes.
This perspective dialogues with Reis et al. (2023), who 
argue that digital transformation should be understood 
as a structural process and not merely technical. By 
analyzing different sectors, the authors identified that 

sustainable outcomes require cultural, institutional, 
and regulatory adaptations. This international evidence 
confirms that the problem of  legal slowness observed in 
São Luís, for example, is not an exception, but part of  
a global pattern of  institutional fragility in the face of  
technological innovation.
In the national field, Silva et al. (2025) highlight that, 
in digital auditing and accounting, the absence of  
standardization and clear regulations hinders the full 
adoption of  disruptive technologies such as blockchain, 
limiting their application to pilot projects. This diagnosis, 
although in the private sector, has direct parallels in the 
public sector, where the lack of  adapted standards restricts 
the expansion of  large-scale digital transformation.
Monteiro et al. (2025) add that collaborative innovation 
networks between government, the private sector, and 
academia are crucial to overcome institutional fragility. By 
shortening the cycle between technological supply and 
practical absorption, these networks act as catalysts for 
legal and administrative change. Thus, inter-institutional 
cooperation reduces the risk that regulatory frameworks 
will lag behind emerging practices.
In this way, triangulation shows that institutional capacity 
and the regulatory framework are basic conditions for 
digital transformation. While international studies point 
to bureaucratic barriers, the need for leadership, and legal 
reforms (Saukkonen et al., 2024; Guo & Shen, 2024; Reis 
et al., 2023), our national and regional analyses (Silva et 
al., 2025; Monteiro et al., 2025) reinforce that without 
clear standards, adaptive governance, and collaborative 
networks, ICT innovation remains fragmented and 
unable to generate systemic efficiency. 

Category 4 – Artificial Intelligence, Big Data and 
Innovation in Public Services
Nguyen et al. (2024) analyze experiences of  adopting AI 
and big data in government services and demonstrate that 
advances in massive data processing allow personalizing 
services and accelerating the delivery of  public policies. 
However, they emphasize that such innovations are only 
consolidated when accompanied by continuous training 
of  civil servants and periodic reviews of  administrative 
processes, preventing implementation failures from 
neutralizing the gains.
Hien et al. (2024) reinforce this point by arguing 
that digital transformation is not only technical, but 
institutional, depending on the alignment between public 
policies, technological infrastructure, and employee 
engagement. They note that in contexts where there is 
cultural resistance and a lack of  incentives, even heavy 
investments in AI and big data yield limited results.
In the same vein, Zhou et al. (2024) warn that the 
intensification of  the use of  digital technologies increases 
exposure to cyber and privacy risks. For them, the 
effectiveness of  digitalization depends directly on the 
institutional capacity to protect sensitive data, under 
penalty of  loss of  public trust and institutional setbacks.
In the Brazilian scenario, Neto et al. (2024) offer practical 



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evidence by showing that automation with Excel, VBA 
and RPA in the payments sector of  the Federal University 
of  Amazonas increased productivity even in the face 
of  a reduction in the number of  servers. This national 
experience shows that simple automation tools already 
produce measurable gains, but require maintenance and 
continuous training to sustain results.
Souza et al. (2025) add that the introduction of  digital 
tools in the public service, such as SEI and telework, has 
brought gains in productivity and autonomy for technical-
administrative employees. However, they observed that 
the full appropriation of  ICT depends on institutional 
adjustments in evaluation criteria and new management 
practices, showing that technological innovation and 
managerial innovation go hand in hand.
Thus, although AI, big data, and automation are 
fundamental drivers of  public service modernization, 
their effectiveness depends on the combination of  
continuing education, institutional engagement, and data 
protection. While the international literature highlights 
security risks, policy alignment, and capacity building 
requirements (Nguyen et al., 2024; Hien et al., 2024; Zhou 
et al., 2024), the national cases of  our group (Neto et al., 
2024; Souza et al., 2025) illustrate the materiality of  these 
challenges in Brazil, showing that gains only become 
structural when technological innovation is connected to 
cultural and institutional changes.

CONCLUSIONS
The present study aimed to analyze the impact of  
information and communication technologies (ICT) on 
the modernity and efficiency of  public services, identifying 
both potentialities and structural obstacles. This proposal 
was based on the recognition that digital transformation, 
although strategic, faces dilemmas related to training, 
security, governance, and institutional alignment.
The results obtained confirm this objective by evidencing 
four central findings: (1) the training and digital literacy 
of  civil servants is an indispensable condition to 
transform technological investments into real efficiency; 
(2) information security and interoperability of  systems 
define legitimacy and public trust; (3) institutional 
capacity and regulatory agility shape the possibility of  
large-scale technological diffusion; and (4) the adoption 
of  AI, big data, and automation generates significant 
gains only when articulated with cultural, institutional, 
and data protection changes. In this way, it was found 
that digital transformation is not sustained autonomously, 
but depends on human, political, and regulatory factors.
It is therefore concluded that ICT has the potential to 
modernize and make public administration more efficient, 
but only when accompanied by integrated strategies 
of  training, digital governance and adaptive leadership. 
Digital transformation does not eliminate, by itself, 
the historical dilemmas of  public management; on the 
contrary, it highlights them, requiring multisectoral and 
collaborative approaches. Responding to the objective of  
this study means recognizing that technology is a means, 

not an end, to efficiency: without institutional integration, 
social participation, and adequate regulation, digital runs 
the risk of  producing only superficial modernization, and 
not true transformation.

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