The
Integration of Artificial Intelligence in Accounting: Perception of Public
Accountants in the Atacames Cantón
La
integración de la inteligencia artificial en la contabilidad. Percepción de los contadores
públicos del cantón Atacames
Jefferson Humberto Figueroa Moreno
Docente – Facultad de Ciencias Administrativas y Económicas Universidad
Técnica “Luis Vargas Torres” de Esmeraldas jefferson.figueroa.moreno@utelvt.edu.ec
https://orcid.org/0000-0001-5212-1603
Luis Aldimir Canchingre Bone
Docente – Facultad de Ciencias Administrativas y Económicas Universidad
Técnica “Luis Vargas Torres” de Esmeraldas luis.canchingre@utelvt.edu.ec
https://orcid.org/0000-0001-7295-6552
Nayeli Nohelia Dueñas Moreira
Estudiante de Pregrado – Facultad de Ciencias Administrativas y
Económicas Universidad Técnica “Luis Vargas Torres” de Esmeraldas nohelia.duenas@utelvt.edu.ec
https://orcid.org/0009-0003-0393-5530
Diana Carolina Tenorio Celorio
Estudiante de Posgrado – Facultad de Ciencias Administrativas y
Económicas Universidad Técnica “Luis Vargas Torres” de Esmeraldas diana.tenorio@utelvt.edu.ec
https://orcid.org/0009-0003-5726-2255
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This
research aimed to analyze how public accountants in the Atacames
canton perceive the integration of artificial intelligence (AI) in their field,
exploring their opinions and experiences. The objective was to identify factors
that facilitate or hinder its adoption and suggest actions to strengthen its
implementation. This study was conducted using a quantitative approach, a
descriptive scope, and a non-experimental, cross-sectional design, employing
surveys administered to accountants in the sector. The data were processed
through descriptive statistical analysis, providing an overview of the level of
knowledge, use, and perception of AI in accounting. The results showed that
accountants have a general understanding of artificial intelligence, although
its practical use is limited and focused on basic tools. A positive perception
was observed regarding the benefits of AI, such as speed, accuracy, and error
reduction, although barriers related to a lack of training, resistance to
change, and partial trust in automated systems still exist. It was concluded
that artificial intelligence represents an opportunity for professional
transformation rather than a threat, and that its integration depends on
strengthening digital skills. Finally, actions were proposed to promote
self-directed learning, the practical application of AI, and innovation in the
accounting profession.
Palabras clave: Artificial intelligence, Accounting, Digital skills,
Technological transformation, Professional perception.
Resumen
La
investigación se propuso analizar cómo perciben los contadores públicos del
cantón Atacames la integración de la inteligencia artificial (IA) en su campo,
explorando sus opiniones y experiencias. El objetivo era identificar qué
factores facilitan o dificultan su adopción y sugerir acciones que fortalezcan
su implementación. Este estudio se llevó a cabo con un enfoque cuantitativo, un
alcance descriptivo y un diseño no experimental de corte transversal,
utilizando encuestas dirigidas a contadores del sector. Los datos se procesaron
a través de un análisis estadístico descriptivo, lo que permitió obtener una
visión general sobre el nivel de conocimiento, uso y percepción de la IA en la
contabilidad. Los resultados mostraron que los contadores tienen un
conocimiento general sobre inteligencia artificial, aunque su uso práctico es
limitado y se centra en herramientas básicas. Se observó una percepción
positiva respecto a los beneficios de la IA, como la rapidez, precisión y
reducción de errores, aunque aún existen barreras relacionadas con la falta de
capacitación, la resistencia al cambio y una confianza parcial en los sistemas automatizados.
Se concluyó que la inteligencia artificial representa una oportunidad de
transformación profesional en lugar de una amenaza, y que su integración
depende del fortalecimiento de las competencias digitales. Finalmente, se
propusieron acciones que fomentan la autoformación, la aplicación práctica de
la IA y la innovación en la profesión contable
Palabras clave: Inteligencia artificial, Contabilidad, Competencias
digitales, Transformación tecnológica, Percepción profesional.
The past few decades have
brought profound changes to the field of accounting, driven by the rapid growth
of information and communication technologies (ICT). Tasks that previously
required significant manual effort are now performed automatically and with a
high degree of accuracy thanks to the use of specialized software in this
field. Among the most significant innovations is Artificial Intelligence
(hereinafter AI), a technology that is no longer merely a future trend but
rather a tool used across various productive sectors, notably the accounting
profession.
AI is defined as the ability of machines to
reason, learn, make decisions, and solve problems autonomously, simulating
human thought (Latorre et al., 2024). In the field of accounting, AI has been
integrated into financial management, including transaction classification,
reconciliations, fraud detection, and even the generation of financial reports.
All AI applications offer a way to improve operational efficiency, reduce human
error, and free up time for accountants to focus on more significant activities
such as financial analysis, management consulting, and tax planning.
Despite this, the implementation of AI in
accounting is not without its challenges. There is significant resistance to
change among accounting professionals who fear that these types of
technological tools might replace them. Another challenge relates to the lack
of training in the use of AI tools, which limits the effective adoption of this
technology. In addition to the above, there is a need for financial resources
to purchase software, maintain the technological infrastructure, and provide
ongoing staff training. These factors raise crucial questions regarding the
future of the accounting profession and the skills that must be developed to
navigate an increasingly technological and digitized professional environment.
In Ecuador, specific characteristics make
this study particularly relevant. In the Atacames
canton, which also includes the Tonsupa parish, there
are many accounting professionals who need to understand and, if possible,
incorporate AI technologies into their professional practice. While several
companies have begun investing in automation and data analysis tools, some
still rely on manual or basic processes, creating a technology gap that
adversely affects competitiveness and the quality of financial information.
Understanding, through this study, the perception of AI, the level of
knowledge, and the challenges faced is essential for designing training
strategies and technology adoption policies that will strengthen their
profession.
The findings of this study aim to shed light
on the impact of AI on accounting, as well as to provide a foundation for
defining courses of action focused on continuing education, technology
investments, and the development of ethical standards that ensure the
appropriate use of AI in the financial sector. Similarly, it seeks to
contribute to the academic and professional debate surrounding the future of
the accounting profession in Ecuador, offering insights that will drive the
transition to a more efficient and digital work model aligned with the demands
of today’s world.
Ultimately, the research, in addition to
diagnosing the current situation, seeks to propose possible solutions to
facilitate the effective and responsible adoption of AI, thereby reducing the
technology gap and strengthening the strategic role of accountants in companies
and organizations. The integration of AI into accounting processes is a
significant opportunity to promote the evolution toward a profession that is
less operational and more analytical, where technology and human knowledge can
complement each other appropriately, ensuring that the financial information
generated is timely, useful, and reliable for sound decision-making.
AI in accounting is considered one of the
most significant developments in the business world in recent years. AI has
revolutionized accounting by automating various tasks, helping to improve the
accuracy of financial analyses and audits, and optimizing business
decision-making.
This technology enables the processing of
large volumes of data in real time, identifying patterns and reducing human
error, which is essential for maintaining the integrity and reliability of
accounting records. As a result, AI has made it possible to automate repetitive
tasks such as processing transactions, performing bank reconciliations, and
preparing financial reports, among other activities—freeing accountants to
focus on strategic decision-making, financial analysis, and gathering insights
to inform decisions.
Given that AI has a great capacity to detect
anomalies and inconsistencies in a timely manner, it helps prevent fraud and
ensure compliance with tax and financial regulations. In this context, AI can
be considered a tool to improve the accuracy and transparency required in
accounting.
According to Pacífico
(2024), although there are countless benefits, adopting AI in the accounting
profession faces many challenges. In the specific case of accountants in the Atacames canton, low levels of training, technical
limitations within firms, resistance to change, and limited financial capacity
to purchase software could be considered the challenges that limit the adoption
of AI in accounting activities.
The situations described above highlighted
the need to investigate the perceptions of certified public accountants in the Atacames canton regarding the application of AI in their
professional activities, in order to identify the factors that facilitate or
limit its use. These perceptions help generate insights for understanding the
context and propose alternatives for training or technology adoption that can
help the accounting profession remain relevant and competitive in a landscape
increasingly dominated by digitization and automation.
In this vein, the general objective of the
study was to analyze the perceptions of certified public accountants in the Atacames canton regarding the integration of artificial
intelligence into accounting by examining their opinions and experiences, with
the aim of identifying the factors that facilitate or hinder its adoption and
proposing courses of action to strengthen its implementation.
Similarly, the specific objectives were aimed
at describing the extent of knowledge and use of artificial
intelligence in the accounting activities of certified public accountants in
the Atacames canton; identifying the benefits,
challenges, quality of information, and level of confidence that artificial
intelligence generates in accountants’ decision-making; and defining courses of
action that promote the implementation of AI and the development of digital
competencies within the accounting profession.
Theoretical Framework
To provide a theoretical foundation for the
study, several previous studies on the subject were initially identified.
Espitia’s (2022) research aimed to analyze the challenges posed by artificial
intelligence. The methodology involved an explanatory study that reviewed
technological advancements and the skills required for AI. The results showed
that AI has enabled the transformation of processes, minimizing the
accountant’s role while, conversely, requiring skills that allow them to adapt.
The conclusions highlight the importance of accountants reinventing themselves,
developing digital competencies, and acquiring social skills to keep pace with
the technological revolution we are currently experiencing.
In the study by Fernández and Ríos (2023),
the objective was to understand the perceptions of accountants in Lima
regarding AI in accounting. A basic, quantitative, non-experimental, and
cross-sectional study was conducted. The sample consisted of 382 accountants
selected through probabilistic sampling. Notable among the results is that 85%
of accountants have a positive perception, expressing interest in and
confidence in these tools for solving problems related to self-learning and
accounting applications. The study concludes that adopting AI is necessary to
adequately address the industrial and technological revolution, and that
updating skills is essential to reap its benefits.
Rivadeneira (2024) set as the objective of
his study to analyze the impact of AI on Accounting 5.0, focusing his analysis
on how financial practices and decisions can be transformed. Regarding the
methodology, it was a descriptive documentary study, combining quantitative and
qualitative analyses of 177 articles identified through PRISMA. Notable among
the results is a sharp increase in research during 2016, with global
participation predominating and the identification of numerous challenges and
benefits related to accounting analysis and automation. The conclusions
established that AI has revolutionized accounting, significantly improving the
generation of high-quality financial information for decision-making while also
posing challenges for the training and adaptation of accountants.
The study by Salvador and Martínez (2024)
aimed to determine the current influence of AI on the accounting profession. It
was a quantitative study that administered a survey to a sample of 385
accountants, who were asked about their perceptions regarding the opportunities
and challenges presented by AI. The results showed that accountants believe AI
increases the speed and accuracy of processing accounting information, although
there is a lack of training and some mistrust regarding making decisions based
on AI-generated information.
The conclusions highlight that AI has the
capacity to transform and process routine tasks more quickly; it also enables
the creation of business opportunities without necessarily replacing
accountants, but it requires adaptation to emerging technological developments.
The objective of the study by Hernández and
Guerrero (2023) was to evaluate how accountants in Machala are adapting to the
implementation of AI. The study was a positivist quantitative study based on
surveys administered to 119 professionals. The results highlight that, despite
fears regarding job displacement, accountants recognize that AI offers multiple
benefits when used as a professional support tool. The conclusions indicate
that the full adoption of AI represents a challenge but also an opportunity, and
that accountants’ individual perceptions are key to shaping the future of the
accounting profession.
Similarly, several theoretical foundations
related to the research topic were analyzed, as described below.
Artificial Intelligence
AI is a field that lacks a simple definition.
Nevertheless, it is defined as the set of tools that combines computer science
with data to facilitate problem-solving. On the other hand, in a more
traditional sense, it refers to the ability of computers or controlled robots
to perform tasks typically associated with intelligent beings.
According to Serrahima
(2022), AI relates to scientific developments in which a machine is designed to
perform actions equivalent to those carried out by human intelligence. Its
primary objective is to enable computers to perform tasks that humans also
perform.
For Latorre et al. (2024), AI is understood
as the field of study in which practice enables the creation of computer
systems capable of performing tasks that, when carried out by a human, require
intelligence. For example, these systems learn to reason, solve problems, and
even process natural language.
Based on the definitions provided, it could
be stated that AI is the set of computer techniques capable of simulating human
intelligence processes, such as reasoning, learning, perception, and
problem-solving. AI encompasses other areas such as natural language
processing, deep learning, computer vision, machine learning,
among others.
Accounting Practice
According to Vargas (2020), professional
accounting practice refers to the activities or tasks performed by an
accountant in their day-to-day work, whether within a company or organization
or as an independent professional. The scope of accounting practices varies
depending on the needs of the organization or the clients to whom accounting
services are provided.
For his part, Gallardo (2021) defines
accounting practice as the recording of changes in the net worth of an
individual or company, as well as the determination of any profits or losses
that may arise. Furthermore, it enables the maintenance of organized financial
records that are appropriately tailored to the type of business and facilitates
a planned monitoring of operations.
Accounting practice is thus considered to be
a set of technical and regulatory activities that require professional
expertise appropriate to the context—one that demands sound judgment,
adaptation to the environment, professional ethics, and the ability to provide
relevant and reliable information for sound decision-making.
Similarly, with significant technological
advancements, Accounting 5.0 has emerged prominently as a paradigm that
integrates accounting tasks with artificial intelligence (AI). This type of
accounting is characterized by a focus on automating activities, rapid
interpretation of results, and the generation of real-time accounting
information.
Within the framework of Accounting 5.0,
Bongianino et al. (2019) argue that incorporating AI is currently a key
aspect of transforming accounting management and optimizing the processes that
lead to financial decisions. With recent technological changes—particularly the
emergence of AI—organizations have redefined how they manage information and
operate in a highly automated world.
AI enables machines to learn from experience,
adapt to different contexts, and perform highly complex tasks with efficiency
and precision. Within the government sector, advances in technology and AI are
transforming the nature of public administration and how it interacts with
citizens, thereby facilitating community participation and optimizing service
delivery by bringing technology and people together. AI can be an ally in
saving resources and improving operational efficiency (Cando, 2023).
In this context, adopting artificial
intelligence does not mean the disappearance of accountants; rather, it is an
opportunity for these professionals to reinvent themselves. Through this
process, accountants can acquire new skills and competencies, adapt, and
specialize in order to remain relevant in the Fourth Industrial Revolution that
the world is currently undergoing.
Artificial Intelligence in Accounting
Practice
Accounting is considered the set of technical
processes that enable the classification and summarization (in monetary terms)
of the economic transactions of an individual or company, in addition to
contributing to the interpretation of the results obtained at the end of the
period. Industrialization and technological innovation have made enormous
global strides, resulting in a significant impact on how accounting
professionals manage their work, providing accountants with many improvements
and conveniences.
According to Fieiras et al. (2022), the use
of AI tools streamlines tasks such as verifications and detecting fraudulent
data, as well as analyzing large volumes of information in less time.
Furthermore, AI tools have evolved significantly thanks to the constant
technological development taking place in today’s world.
Sumar (2021) argues that new AI technologies
allow for a connection with accountants’ professional experience, thereby
significantly influencing business performance and the economy. This
integration is achieved through automation tools, as AI performs tasks with the
same precision as a professional by streamlining data generation to enhance
accuracy and efficiency in an accountant’s work.
To begin this section, it
is important to provide a brief description of the methodology applied in the
process of obtaining and analyzing the results of the research. The study
employed a quantitative approach, which is characterized by the collection of
numerical or statistical data to answer research questions and identify
patterns of behavior (Babativa, 2017). In this
context, the study was quantitative because it described and characterized the
perceptions of certified public accountants in the Atacames
canton regarding the integration of AI into accounting, analyzing and
interpreting statistical and numerical information.
In terms of scope, it was a descriptive
study, defined by Guevara et al. (2020) as a study aimed at specifying the
characteristics, profiles, and properties of communities, groups, processes, or
individuals that are subject to a particular analysis. Based on this
definition, the study aimed to specify the profiles and characteristics of
public accountants in the Atacames canton regarding
the integration of AI into their daily accounting activities.
Regarding the study design, this was a
non-experimental study, defined as one in which the researcher observes and
analyzes phenomena in their natural context without deliberately manipulating
variables (Arias, 2021). As stated, the research is non-experimental because it
did not seek to intervene in or alter the accountants’ working conditions, but
rather to collect direct information from their professional reality regarding
the use of AI in their work.
Regarding the type, it was a field
study, which Palella and Martins (2018) define as studies conducted directly in
the real-world setting where the phenomenon occurs, without controlling or
manipulating the variables. Based on the above, a field study was conducted in
which information was collected from accountants in their own offices where
they perform their accounting activities throughout the Atacames
canton.
Data collection was carried out using a
survey, defined by Ávila (2020) as a research method that involves
administering a questionnaire to a representative sample to gather information
on opinions, attitudes, or characteristics. In this study, a questionnaire was
used that had previously been validated in Salvador’s (2024) research, in which
he assessed the impact of AI on the accounting profession among Mexican
accountants.
In this context, to define the study
population, visits were made to the sites or locations where individuals
provide accounting services.
During the survey of the Tonsupa
and Atacames districts, 17 professionals who provide
accounting consulting services were identified.
Once the study population and the data
collection instrument were identified, the results obtained are presented
below.
Level of Knowledge and Use of Artificial
Intelligence Among Accountants
Based on the results obtained, the initial
objective was to determine the level of knowledge and use of artificial
intelligence among public accountants in the Atacames
canton. The results indicated that accountants have a general understanding of
AI but demonstrate limited proficiency, suggesting that they are in the early
stages of adopting AI in accounting practice.
Similarly, it was evident that AI is
generally used in conversational assistant applications, as the use of
professional software remains minimal. Finally, it can be inferred that AI has
indeed brought about gradual changes, particularly in tasks considered
repetitive or operational, without having completely transformed the accounting
profession.
Benefits, Challenges, Quality of Information,
and Level of Trust Generated by Artificial Intelligence in Decision-Making
When initially asked about the challenges
accountants have faced in implementing AI tools in their work, they indicated
that factors such as implementation costs, proficiency in using AI, and
resistance to change pose significant challenges to the application of
technology in accounting.
Similarly, when asked whether AI will replace
accountants in the future, the results reveal a realistic and positive
perception, in which the potential of the technology is acknowledged, though
the importance of always relying on professional judgment is also evident. This
demonstrates that, although accountants require AI tools, they do not believe
they can be replaced by these tools.
Looking ahead, respondents were also asked
which skills would be most important for accountants in the future as they
utilize AI. The results showed that accounting professionals recognize the need
to stay current with technological competencies and ethical practices, in
addition to soft skills that enable the proper use of AI tools.
Another question aimed to understand how
accountants evaluate the quality of reports and analyses generated by AI tools
compared to those produced manually. This question revealed that, despite
having a high level of confidence in the technical quality of AI for generating
financial information, accountants never disregard their own professional
judgment in their day-to-day work.
The survey then asked about the level of
confidence in AI-generated report analyses for decision-making purposes. It was
evident that there is a high level of credibility and acceptance, although
there is also considerable caution regarding the absolute reliability of
AI-automated results.
Finally, this section sought to identify
priority actions for improving the use of AI in the accounting profession.
Accountants consider training and technological education to be essential for
effectively strengthening the adoption of AI.
Based on the research
findings, it was determined that, although accounting professionals have a
basic understanding of AI and clearly recognize its benefits in making their
work more efficient and accurate, its practical application is limited due to
low levels of training, high implementation costs, and resistance to change
among professionals.
In this context, an action plan was developed
to strengthen the adoption and application of AI, as well as to develop
accountants’ digital skills. The plan aims to provide strategies considered
viable and sustainable for implementing accessible resources, as well as direct
actions without relying on external institutions.
The proposed lines of action are intended to
promote self-directed learning, facilitate the practical application of AI
tools, disseminate technological knowledge, and design educational materials
that strengthen a culture of digital innovation within the accounting
profession. The plan serves as a professional and academic contribution aimed
at driving the modernization and competitiveness of accounting activities in
the Atacames canton, addressing the challenges posed
by digital transformation in businesses and institutions.
The objective of the plan is to present
practical strategies that strengthen the adoption of AI in accounting, as well
as the development of digital competencies among certified public accountants
in the Atacames canton. The lines of action are
detailed below.
Line of Action 1
Line of Action 1: Development of a
self-directed training program
Specific objective: To develop
instructional materials whose content guides accountants in the use of AI tools
applied to their professional practice.
Proposed Actions:§ Design a practical
manual on topics related to artificial intelligence applied to accounting
management, containing easy-to-understand examples and free resources.§ Create
a digital guide containing direct links to platforms, tools, or courses so that
accountants can train themselves in AI.§ Propose a gradual self-training
plan(basic, intermediate, and advanced) focused on automatable accounting
tasks.
Expected outcome: Accountants who are
better informed and sufficiently motivated to pursue their own professional
development.
Line of Action 2
Line of Action 2: Design of
a pilot workshop on AI in accounting
Specific objective: To provide a
practical introduction to the use of AI within the professional accounting
context.
Proposed Actions:§ Plan the development of a workshop
that, as an introduction, applies tools such as ChatGPT, AI-powered Excel,
and automated accounting software.§ Develop practical exercises to demonstrate
the benefits that AI can provide in processes such as financial reporting or
bank reconciliations.§ Evaluate participants’ perceived levels of usefulness
and satisfaction through a survey to be conducted afterward.
Expected outcome: Accountants
understanding and applying AI in real-world accounting activities, motivated to
continue using it.
Action Line 3
Action Line 3: Creation of a blog or digital
newsletter for professional outreach
Specific objective: Publish the
knowledge being shared and acquired regarding AI and digital transformation in
accounting.
Proposed Actions:§ Design an informational
blog featuring monthly short articles on the application of AI, trends, and
case studies.§ Encourage participation from accounting professionals by sharing
their experiences with AI.§ Publish articles with infographics highlighting the
challenges, benefits, and ethical considerations of using AI.
Expected outcome: Platforms for
promoting collaborative learning.
Action Line 4
Action Line 4: Development of
complementary academic materials
Specific objective: Develop theoretical
and practical resources to facilitate understanding of the connection between
accounting and AI.
Proposed actions:§ Design an informational
booklet containing key definitions, examples of accounting AI tools, and the
benefits of their implementation.§ Create short videos or easy-to-understand
presentations that can be shared on digital media.§ Include a section presenting
ethical recommendations, as well as best accounting practices involving the use
of AI.
Expected outcome: Easily accessible
educational materials to support the continuing education of certified public
accountants.
Action Line 5
Action Line 5: Training Plan for Local
Institutions
Specific objective: To present a digital
skills training project for accountants in the Atacames canton.
Proposed Actions:§ Develop a document with
proposals for training accountants that includes objectives, methodologies,
content, and timelines.§ Present the plan to interested accounting
associations.§ Provide voluntary consulting services for the initial
implementation of the plan.
Expected Outcome: Formal documentation
to serve as the basis for conducting training in AI and digital accounting.
The results obtained during the research process
revealed that certified public accountants in the Atacames canton have general knowledge of
AI, and therefore its application in their profession remains limited. It was
found that the use of AI is primarily focused on basic or support functions,
reflecting a minimal level of technology adoption and highlighting the need to
strengthen the technical and digital training of accounting professionals to
enable the effective integration of AI into their professional activities.
Furthermore, it was concluded that
accountants have broadly recognized the benefits of AI, particularly in
optimizing tasks, reducing errors, and improving the quality of financial
accounting information. Despite this, many challenges remain, such as resistance
to change, a lack of training, and limited trust in the automated results
produced by AI tools. Despite these challenges, accounting professionals value
AI as a tool that complements and enhances accounting analysis and,
consequently, decision-making. Finally, several courses of action were defined
to serve as practical guidance to promote the adoption of AI in accounting and
the development of digital skills among accountants in the Atacames
canton. The proposed strategies aim to promote self-directed learning,
gradually implement digital tools, and create spaces for autonomous learning.
The proposed actions are intended to strengthen accounting professionals’
capacity to adopt AI-based technological tools, as well as to foster a culture
of innovation within the local accounting profession.
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