Các nhân tố ảnh hưởng đến ý định ứng dụng kế toán tinh gọn trong các công ty Fintech tại Việt Nam

Working Paper 2021.2.3.08  
- Vol 2, No 3  
CÁC NHÂN TỐ ẢNH HƯỞNG ĐẾN Ý ĐỊNH NG DNG KTOÁN TINH  
GN TRONG CÁC CÔNG TY FINTECH TI VIT NAM  
Trn Nguyên Hnh1  
Sinh viên K56 CLC Kế toán kim toán định hướng ACCA - Khoa Kế toán Kim toán  
Trường Đại hc Ngoi thương, Hà Ni, Vit Nam  
Nguyn Quang Huy  
Ging viên Khoa Kế toán Kim toán  
Trường Đại học Ngoại thương, Hà Nội, Việt Nam  
Tóm tt  
Nghiên cu được thc hin nhm xác minh các nhân tố ảnh hưởng đến ý định ng dng kế toán  
tinh gn trong các công ty Fintech ti Vit Nam. Nghiên cu đã tích hp ba mô hình lý thuyết: Mô  
hình hành vi có hoạch định, mô hình khuyếch tán đổi mi đổi mi và mô hình chp nhn công  
ngh. Kết quphân tích t108 kế toán viên phn ln đang công tác tại Hà Ni cho thấy ý định ng  
dng kế toán tinh gn chu ảnh hưởng bi (1) tính dsdng được cm nhn và (2) khả năng dùng  
thử. Trong khi đó, lợi thế tương đối, thái độ và khả năng quan sát được givai trò không đáng kể.  
Kết qunghiên cu là tài liu tham kho cho các chdoanh nghip và kế toán viên hiu đúng về  
quy trình kế toán ni btinh gn. Từ đó, các nhà quản lý có thphát trin mt hthng tinh gn,  
hướng ti mc tiêu ci thin hiu sut công vic và tối đa hóa giá trị cho khách hàng.  
Tkhóa: kế toán tinh gọn, công ty fintech, ý định sdng, hoạt động tinh gn.  
FACTORS AFFECTING INTENTION TO USE LEAN ACCOUNTING AT  
FINTECH COMPANIES IN VIETNAM  
Abstract  
The aim of this study is to verify the factors affecting the intention to use lean accounting at Fintech  
companies in Vietnam. To investigate this phenomenon, the theory of planned behavior, the  
innovation diffusion theory, and the technology acceptance model had been integrated. An online  
survey was distributed to accountants, mainly accountants in Hanoi, collecting a total of 108  
respondents. From five proposed research factors, the findings show that the perceived ease of use  
and trialability had a positive and significant relationship with the intention to use lean accounting.  
Whereas, the relative advantage, attitude and observability were found to be insignificant. The  
results of this study will serve as a reference for business owners and acscountants to understand  
1 Tác giliên h, Email: k56.1718820028@ftu.edu.vn  
FTU Working Paper Series, Vol. 2 No. 3 (09/2021) | 101  
internal lean accounting processes with the right awareness and to develop a lean system while  
improving work performance and maximizing values for customers.  
Keywords: lean accounting, fintech companies, intention to use, lean operation.  
1. Introduction  
The development of the Fintech companies in Vietnam is on the rise. In 2015, the number of  
startups in the Fintech sector was 44, by 2020, this number climbed more than 2.7 times, reaching  
123 startups. This is fueled by the explosion of e-commerce as people are increasingly in favor of  
online consumption and payment. Along with that is strong support from Vietnamese State’s  
policies, especially for high-tech services industries2.  
Fintech company is considered to be a lean organization. According to Sheahan (2017), lean  
organizations are “firms that have adopted the lean methodology into their business model”. Its  
ultimate goal is to provide perfect value to the customer through a perfect value creation process  
that has zero waste.” (Lean Enterprise Institute, 2018). There is hardly any definition that can help  
readers instantly understand and clearly visualize a lean organization. However, it can be said that  
most lean organizations are clearly expressed through lean operation and management, which  
emphasizes the process speed and quality improvement through reduction of waste.  
Moreover, lean accounting is strictly integrated in these lean operation and management.  
Without a lean accounting system, there is no alignment between lean practices and the  
information company management will be receiving to understand how well the lean business is  
performing (Katko & Luca, 2020). A lean accounting process is expected to transform Fintech  
companies into true lean models, with the most modern and optimal technology applications. In  
fact, lean accounting has brought numerous benefits to Fintech companies, from receiving orders,  
billing, instant payments, bookkeepping and tax-filling, all are automated on the cloud-based  
software. This enabled fintech companies to cut manually administrative costs, reduce the  
receivable turnover cycle, and allow them to make pre-emptive decisions or to react instantly to  
evolving financial situations thanks to the ability to access real-time financial information analysis,  
forecasting, budgeting, and resource management.  
In the world, research on lean accounting mainly focuses on manufacturing enterprises. In  
addition, currently in the world and in Vietnam, there is no research on accounting systems in  
Fintech companies. Considering this as a research gap, as a primitive study, the author chooses the  
topic "Factors affecting intention to use lean accounting at Fintech companies in Vietnam" for the  
papper.  
2
Nation Agency for Technology Entrepreneurship and Commercialization Development is established in 2016 to  
incubate businesses and provide financial support to tech startups; Corporate income tax reduction for companies working in the  
high-tech sector or high tech zones is set at the preferential tax rate of 10% for 15 years or of 17% for 10 years compared to the  
normal tax rate of 20% (Government, 2016); Regulatory Fintech sandbox on Project "Plan on restructuring the service industry to  
2020, with an orientation to 2025" is on the process (Government, 2017).  
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2. Theoretical framework of lean accounting  
2.1. Definition and characteristics of lean accounting  
Introbooks (2015, pp.65) perceived lean accounting as the common term used for the changes  
necessary to a company’s accounting, organizing, measurement and executive process to maintain  
lean manufacturing and lean thinking. Aligning financial management with company’s Lean  
strategies, lean accounting improves not only the accounting affairs but the entire economics of  
your business.  
According to Katko (2020), lean accounting is defined as “the management accounting system  
for a lean organization. It provides the relevant financial and nonfinancial information necessary  
to execute the lean strategy and drive financial success.” With the same view, an article on  
Kanbantool website (2020) pointed out that lean accounting describes the financial reporting  
practices used by a company that embraces Lean thinking: focusing on the value delivered to the  
client and on waste elimination, through better workflow and material management.  
Among the preceding definitions, lean accounting definition mentioned by Katko and  
Kanbantool (2020) is compatible with the author's viewpoint and is used in this study. There are  
three key characteristics in it:  
Firstly, lean accounting provides both financial and non-financial information. The financial  
statements used in lean accounting are concise summaries of financial transactions over an  
accounting period, which helps analyzing company's operations, financial position and cash flows.  
(Fernado, 2021). Futhermore, lean accounting could provide a knowledge base for effectively  
making decisions about the future, which is the main feature of management accounting.  
Secondly, lean accounting focuses an organization on customer value. The deployment of lean  
tools and techniques, for example: value stream costing and visual management, that create flow  
and eliminate waste will bring in improved cost management and revenue growth. These are the  
economics of lean.  
Last but not least, lean accounting primarily focus on continuous learning. Through the use of  
various lean tools and methods, employees could learn to master their work. Each employee also  
possesses ideas and abilities that many leaders may not have. Therefore, their perspectives and  
methods to implement their duties should also be considered and discussed.  
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2.2. Lean accouting tools  
Table 2.1. Comparison of the three main lean accounting tools  
Value Stream  
Continuous  
improvement  
Tool Criteria  
Visual management  
costing  
Value stream costing  
Continuous  
is an accounting Visual Management is a improvement seeks to  
system for tracking method designed to create a improve every process  
revenues and costs visual  
for an entire value controls  
stream as opposed to without  
workplace  
communicating activities that generate  
words and value for customer  
with by enhancing the  
Definition  
individual products interruptions in process while removing as  
as with standard (Chris, A, O., Murry, P., many waste activities  
costing (Aaron, L., 2010).  
2020).  
as  
possible  
(Kabanize).  
Improves  
cross-  
Allows  
employees  
to  
functional  
collaboration  
synthesize and visualize the  
information (signals,  
The business will  
always put systems in  
place to analyze and  
enhance its operations  
on a regular basis.  
instructions,  
processes,  
Reduces costs by  
eliminating waste and  
bottlenecks  
Advantages  
measurements)  
Requires little or no prior  
training to interpret  
Cannot be used for  
products with no  
Can  
easily  
become  
overwhelming and too  
difficult to maintain  
identical  
material  
It's possible that goals  
aren't being conveyed  
flow maps  
Requires virtual systems  
with alerts and notifications  
to keep tasks moving and  
Unable to show the  
impact on WIP, order  
properly,  
managers  
or  
that  
aren't  
Disadvantages  
motivated enough to  
make changes.  
real-time  
throughput  
and  
provide  
operating expenses of  
inefficient material  
flows  
information  
Source: Syntherized by the author  
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Value Stream Costing  
Value Streams represent “the series of steps that an organization uses to  
implement solutions that provide a continuous flow of value to a customer”. A business may  
contain one or more value streams, which is dedicated to build and support a set of solutions  
delivered to the customer (SAFe, 2020). When put into lean context, value stream costing is  
directly related to lean accounting system. Following that, costs, revenues and profit or loss  
reporting are also developed (Maskell, B., H., and Kennedy, F., A., 2007).  
Instead of controlling cost of each individual products, value stream costing aims to calculate  
total cost in each value stream. There are many different ways to categorize value stream, for  
example: (1) By product; (2) By process; (3) By customer. Once value stream to be defined, it is  
important to identify costs. Below is an example of 02 different value stream by product groups:  
product family A and product family B (Figure 2.1).  
Costs charged to a value stream can be divided into 3 categories: (1) purchase costs of raw  
materials and other inputs; (2) processing costs or conversion costs; (3) facility costs. Indirect cost  
could be allocated on the basis of meter square occopied by each value stream. When indirect costs  
cannot be directly allocated to value stream but are high, they can be allocated by using simplified  
version of activity-based costing. When the indirect costs’ value is low, indirect costs are simply  
recorded in the companyincome statement.  
Figure 2.1. Value Stream Costing in an auto-parts factory  
Source: Ruiz de Arbulo P., Fortuny J., García J., Díaz de Basurto P., Zarrabeitia E. (2012)  
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Visual management  
Visual management aims to provide all the information with visual and auditory methods to present  
simple, clear and easy-to-monitor information. It is considered to be one of the most effective ways for  
companies to show the highest performance with minimal error. (Uzun, T., 2015). There are five main  
purposes for using visual management: (1) Sharing information about day-to-day operation with metrics  
showinginputs, outputs, andanyproblems;(2)Buildingstandardwork;(3)SharingStandardWork toshare  
standards of how work should be completed; (4) Highlighting Problems; (5) SolvingProblems.  
Continuous improvement  
Opposed to traditional accounting, which defines perfection as meeting predetermined standards. In a  
lean company, every employee within the value stream strive to continuously improve their processes so as  
to provide perfect, high-value products and/or services to their customers. Because continuous improvement  
is permanent, the accounting and measurement systems need to actively support the quest for perfection  
(Maskell, B. H., & Kennedy, F. A, 2014). It is the primary method for driving customer value and waste  
elimination throughout the value streams. Maskell B. H., and Bruce L. Baggaley (2006) perceived target  
costing as thetool forunderstandinghowthe companycreates value forthecustomer and what must be done  
to create more value”. It is used when new products are being designed and/or when the value stream team  
needs to understand the changes required to increase value for the customers.  
3. Research model and hypothesis  
Relative Advanntage  
H1  
Trialibility  
H4  
H2  
Perceived ease of use  
Observability  
Intention  
H5  
Attitude  
H3  
Figure 3.1. Proposed research model  
Source: Syntherized bythe author  
Relative advantage (RA)  
RA was first identified in 1962 by E.M. Rogers as the “extent to which customers observe a new  
product or service as enhanced than its substitute”. Later, in 1993, he gave it anotherdefinition as “the degree  
to which an innovation is perceived as being better than the idea it overtakes”. Mostly used with  
new products or service, the term RA refers to the degree to which a particular product seems to be superior  
to another already existing product. It is most often used for new goods or services: RA have a significant  
impact on intention to use internet voting Carter, Lemuria, & Campbell, Ronald. (2011); It is a key factor to  
theintentionto adopt competingInformationandCommunicationTechnology- ICT(Wang, Y.; et al, 2008);  
and in manyother studies (Bandara, U.C. & Amarasena, S., 2018; P. W. Handayani and Z. Arifin, 2017). To  
assess the impact of RA factor on Intention, the author proposes the hypothesis:  
H1: The Relative advantage has a positive effect on the Intention to use lean accounting at  
Fintech companies  
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Perceived ease of use (PE)  
PE is defined as “the degree to which a person believes that using a particular system would  
be free of physical and mental effort” (Davis, F., 1980). The easier the use, the more likely the  
system would be adopted. PE is shown to have positive effect on behavioural intention to both  
actual and future use Statistical Software of the Slovenian Students of Social Sciences (Alenka  
Brezavšček et al, 2016). Since defined as “ease or difficulty in implementing behavior, is said to  
reflect past experience as well as predictable obstacles” (Ajzen, 1980), Perceived behavioural  
control factor in TpB model could be replaced by the term “Perceived ease of use” in TAM model.  
In addition, factor “Ease of use” could replace Complexity determinant in Innovation diffusion  
theory (Huang, C.-Y et al, 2020; Lee, Y-H. et al, 2011). Thus, the following hypothese is formed:  
H2: The Perceived ease of use has a positive effect on the Intention to use lean accounting  
at Fintech companies  
Observability (OB)  
The degree to which the effects of an innovation are apparent to the adopters is referred to as  
observability. If the implementation of the innovation produces observable positive results, the  
innovation is more likely to be adopted. The index of opportunities to observe other people's  
interactions, as well as the visibility of advantages, can be used to analyze respondents' perceptions  
of observability (Lingxian, Z., et al, 2010). Observability has significant positive influence on  
behavioral intention to use online services in Saudi Arabia (Alghaith, W. et al, 2010), to use mobile  
payment (Lin, W.R. et al, 2020), to adopt E-learning adoption (Lingxian, Z., et al, 2010),…There  
is a scarcity of studies on the effects of observability in the field of accounting. However,  
considering that Lean accounting is bringing in innovation in accounting technology, the author  
proposed hypothesis:  
H3: The observability has a significant positive influence on the Intention to use lean  
accounting at Fintech companies  
Trialibility (TR)  
Trialibility is also an attribute of an innovation in Innovation diffusion theory. Trialability  
refers to how likely people think they will be able to try out an innovation before determining  
whether or not to implement it. Trialibility has been proved to directly affect the Intention to adopt  
innovation on health (Scott, S.D, et al., 2008); on Intention to Adopt Mobile Banking Services in  
Jordan (Awwad, M., & Ghadi, M., 2009); on e-book purchase intention (Hsiuli, Liao., 2016); In  
some other studies, Trialability has no direct effect on the intention, but it has through Perceived  
usefulness and PE (Shahrokh, N., (2019) or through Perceived usefulness and Enjoyment  
(Cheolho, Y., & Dongsup, L., 2020). Accordingly, the author proposed the following hypothesis:  
H4: The Trialibility is positively related the Intention to use lean accounting at Fintech  
companies  
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Attitude (AT)  
In the original TpB model, Attitude is created by a set of beliefs that result in the behavior's  
outcome through meditating factor Intention. If the outcome or consequence of a behavior is  
viewed as favorable, useful or advantageous, a person's attitude will be positive, and the intention  
to engage in the behavior will be higher. The effect of attitude on intention is commonly applicable  
to the study of accounting information systems (Qi, L., Ismail, S., 2019; Amin, Md., et al, 2016).  
Intention factor in TAM model has also proved to be applicable to explaining consumer intention  
in various technological contexts and areas. For example, attitude plays a significant role in  
persuading the students' intention to use E-learning (Husseina, Z, 2016); Attitude is positively and  
significantly correlated with consumer’s intention to use mobile health technology (Hussein, Z.,  
et al, 2017) From previous empirical studies, the author proposes hypothesis:  
H5: The Attitude has a positive effect on the Intention to use lean accounting at Fintech  
companies  
4. Research findings and discussion  
Group  
Opinion  
Female  
Frequency Percentage  
87,0  
12,0  
1
87,0  
12,0  
0,9  
Male  
GENDER  
Blank  
18 - 25 years old  
26 - 35 years old  
36 - 45 years old  
Over 45 years old  
85  
18  
1
78,7  
16,7  
,9  
AGE  
4
3,7  
Bachelor's  
Master's or higher  
Fintech  
107  
1
99,1  
,9  
EDUCATION  
20  
18,5  
BUSINESS  
FIELD  
Other  
Accounting - Finance  
Other  
88  
104  
4
81,5  
96,3  
3,7  
DEPARTMENT  
Hanoi  
79  
22  
1
73,1  
20,4  
,9  
Ho Chi Minh  
Long An  
LOCATION  
Blank  
6
5,6  
Table 4.1. Results of demographic descriptive analysis  
Source: Syntherized by the author  
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The data collection method for the official investigation is entirely online. After a month, the  
author collected 108 valid samples. Research data were coded and cleaned on Excel, analyzed and  
evaluated on SPSS software.  
Results of the study showed that the number of respondents who were female was up to seven  
times that of respondents who were male. Demographic statistics also show that most of the  
surveyed people are very young, 78.8% are in 18-25 years old. At the same time, up to 99% of  
respondents with education level is Bachelor. Thus, it can be seen that these people have a few  
years of experience in the profession.  
96.3% of respondents are working in the accounting department. Just a small number of  
respondents, however, work for Fintech firms (18.5%). This is the most unfavorable point, as it  
contradicts the author's initial emphasis on the target community of Fintech accounting-financial  
staff. This can partly be attributed to the objective reason that the current proportion of Fintech  
companies is extremely small compared to other businesses.  
Concerning the surveyors' perceptions of impact investing. Lean accounting has been heard  
of by 89.8% of survey respondents, and 80.6% understand the definition. This demonstrates that  
Lean accounting is a well-known and simple term. However, this statistic does not guarantee that  
the surveyor comprehends the principle of lean accounting as well as other practical applications.  
Relative  
Trialibility  
Intentio  
Attitude  
Perceived ease of  
Figure 4.1. Results of the research model  
Source: Syntherized by the author  
Shown by linear regression analysis and multivariate regression, PE is the component that has  
the closest relationship with IN. This can be explained by the fact that the ease with which  
accounting approaches and lean accounting reporting can be implemented has a significant impact  
on survey respondents' intentions to use Lean accounting. When implementing an innovation in  
an organization, this often indicaties a worry about its complexity. TR, or the desire to try the lean  
accounting system, is the second element influencing IN, aligning with the author's hypothesis.  
Although 77.8% of survey respondents say that their businesses apply Lean accounting, these  
businesses may not fully exploit the potential of this system. Therefore, surveyors want to have a  
chance to experience the system before use.  
Although there is a quite high Pearson Correlation with IN, the AT factor is excluded from  
the model since the significance of Coefficients lower than 0.05. This shows that there is linear  
relationship between IN and AT because the factor IN has a positive effect on AT. The regression  
coefficient of RA < 0, negatively affects dependent variable IN. This is unreasonable and contrary  
to the results from all previous studies.  
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According to the findings of the empirical study, perceived ease of use and trialability are two  
variables that influence the intention to use lean accounting, with perceived ease of use having a  
higher impact level. Meanwhile, the three initial hypotheses that the relative advantage, trialability,  
and observability have a positive impact on intention are all rejected.  
5. Suggestion and implications to develop lean accounting at fintech companies in vietnam  
5.1. Suggestion to develop lean accounting at fintech companies in vietnam  
Recommendations for the internal accounting process  
As previously stated, lean accounting cannot be isolated from a company's operations. If a  
company runs a lean business model, lean accounting will play a more significant role and  
becomes more valuable. Fintech companies typically fall into one of two categories: (1) companies  
that specifically provide technology and digital utilities (Blockchain, Crowdfunding, Lending,  
Fund management, etc. ); and (2) companies that specialize in back-office services, such as  
assisting financial institutions in integrating and improving payment functions, data management,  
Insuretech, and so on. While the organizational structure, complexity, and flexibility of the  
departmental structure and employees of these two types of businesses vary, they are all service  
businesses with a technology-based final product.  
Manufacturing companies will concentrate on implementing lean accounting in inventory  
management and the factory production process. Meanwhile, the activities of Fintech firms have  
been a suitable platform to become lean due to the absence of raw materials, inventory, and storage  
of products, among other factors. The author suggested that costs in Fintech companies be handled  
according to the value stream of each client/order, based on the Value Stream Costing tool, which  
means that the resource requirements for each customer/order will be different. Only by  
concentrating on cost statistics by product/order would the organization be able to efficiently  
monitor prices, track and compare resources of orders of the same/different characteristics, thus  
appropriately determining the resources allocated.  
To better manage operational performance, capacity (percentage of productive or non-  
productive time lead), and to link financial performance to the flow, the author suggests Fintech  
companies focus on recording, tracking, and reporting some criteria on Box score as follows:  
+ The productivity of employees (number): Unit per person;  
+ On-time shipment (%): The ability to meet customer demand;  
+ First time through (%): Measure of quality through the entire process, whether there is any rework;  
+ Dock-to-dock days (days): Flow time from initiation of the order to delivery to the customer;  
+ Productive (%): Time spent adding value during profitable work;  
+ Non-productive (%): Time lost to non-added value activities (waste, rework, scrap, downtime,...);  
+ Available capacity: Time that is available to new profitable work. Only when lean improvement  
releases capacity, the companies would accept more customer’s orders to reap the benefits of  
increased profitability;  
+ Revenue, cost and profit.  
Raising awareness and transparent information about Lean accounting  
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According to the results of the study, a reasonably high percentage of survey respondents  
agree that their company uses the Lean accounting method. However, whether or not the  
perception of lean accounting is right needs to be investigated further. The author recommends  
that businesses in general, and Fintech firms in particular, be encouraged to engage in a lean  
accounting forum. Not only will technical insights and widely used Lean Accounting tools be  
shared at that forum, but accountants will also have the opportunity to discuss lean accounting  
activities in their companies. Lean accounting does not require a high level of methodology;  
instead, it can be as simple as finding small ways to increase work performance. Accountants will  
no longer be concerned about the complexities of the lean accounting principle after the proofs  
have been shared, and they will be able to try flexible implementation in practice.  
The problem of labour power in a lean company must fully be understood by business owners  
and accountants in particular. To generate and maintain lean processes in the workplace,  
employees must minimize non-value-added lead time. This is not exploitative since the employees  
can have full control over his or her schedule, and set the deadline for completing each job after  
the agreement with employers. The employers should, in the meantime, fully publicize policies  
for evaluating performance metrics based on quality and quantity parameters. As a result, labor  
rates will become more equitable. In addition, it must be emphasized that one of the main  
foundations of lean is human and involving people in lean is as important as lean tools. Lean  
accounting needs a human system that produces people who are willing and able to identify and  
solve them. Therefore, each accountant needs to train themself collaborative behaviors that focus  
on continuous improvement and problem-solving.  
5.2. Implications of the study  
The topic is one of the pioneering studies on Lean accounting with quantitative research  
method in Vietnam. First, the topic synthesizes the theoretical framework from many reliable  
sources, providing general insights for readers. Second, the topic applies the model of the Theory  
of planned behavior TPB, Innovation Diffusion Theory IDT, and Technology Acceptance  
Model - TAM, discuss and select factors for a new research model. Third, based on data collected  
and analyzed, the topic verifies the model's reliability, suitability of the scale and Multivariate  
regression of research factors. Fourth, the subject serves as a useful reference for potential research  
in the path of psychological-behavioral research in Vietnamese Fintech companies that are  
implementing lean accounting model.  
In practical terms, research shows that to promote the intention of applying Lean accounting:  
First, the accounting functions must be closely linked to the operation of departments in the  
company. Accountants should apply Lean accounting tools such as Value Stream Costing and Box  
score with criteria that are relevant to the product (services) of Fintech companies. Second, the  
selection of the appropriate application of lean accounting should be discussed and evaluated  
through the opinions of consultants, communities with experience in lean accounting. Third,  
business owners, accountants, and all employees in the company need to correctly understand the  
nature of Lean accounting, so that they will be ready to participate in the lean system while  
ensuring labor equity and improving work performance and maximizing benefits for customers  
and achieving financial benefits.  
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5.3. Limitations for further study  
The biggest limitation of the study is survey forms from Fintech companies only account for  
18.5%, not ensuring research scope. The limited number of research samples has not met the  
requirements of the factor discovery analysis EFA. Although this sampling defect is influenced by  
objective factors, this is a significant weakness that affects the research results. To overcome this  
limitation in future studies, the author suggests using Smart PLS software.  
Through reliability analysis, there are quite a few observed variables that have been removed  
due to the failure to meet the correlation standard. As a result, the questionnaire should be re-  
evaluated, and the author should perform a small-scale trial survey to refine the scale. Although  
the Trialability factor is sufficient to explain the impact on the Intention factor, the correlation  
level is still poor, and the observed variables account for only 52% of the factor. This means that  
Trialability has several other manifestations causes that need to be investigated, and that study  
needs to broaden the scope of variables observed.  
The two limitations listed above are suggestions for future study. Instead of online surveys,  
the following research can be conducted directly at Fintech firms to ensure the appropriate subject  
of research to be examined. Alternatively, rather than pursuing factor verification in the model,  
the study may establish questionnaires for face-to-face interviews to obtain qualitative information  
and collect more practical assessments about lean accounting practice in Vietnam before verifying  
a specific model.  
Reference  
Aaron, L. (2020), “Lean accounting – Value stream costing”, https://falconfastening.com/lean-  
learning/lean-accounting-value-stream-costing/  
Ajzen, I. & Fishbein, M. (1980), Understanding Attitudes and Predicting Social Behaviour,  
Englewood Cliffs, NJ: Prentice-Hall, Inc  
Ajzen, I (1991), Organizational behavior and human decision processes, pp. 179 211.  
Amin, Md., Munira, S., Azhar, A., Amin, A. & Karim, M. (2016), Factors Affecting Employees’  
Behavioral Intention to Adopt Accounting Information System (AIS) in Bangladesh.  
Alghaith, W. et al (2010), Factors Influencing the Adoption and Usage of Online Services in  
Saudi Arabia, The Electronic Journal of Information Systems in Developing Countries.  
Arner, D. W., Barberis, J. N. & Buckley, R. P. (2015), The Evolution of Fintech: A New Post-  
Crisis Paradigm?.  
Awwad, M. & Ghadi, M. (2009). Investigation of Factors Influencing the Intention to Adopt  
Mobile Banking Services in Jordan”, Dirasat: Administrative Sciences, Vol. 37, pp. 545 - 2010.  
Bandara, U.C. & Amarasena, S. (2018), Impact of Relative Advantage, Perceived Behavioural  
Control and Perceived Ease of Use on Intention to Adopt with Solar Energy Technology in Sri  
Lanka.  
Bandura, A. (1982), “Self-efficacy mechanism in human agency. American Psychologist, Vol. 37  
No. 2, pp. 122 147.  
FTU Working Paper Series, Vol. 2 No. 3 (09/2021) | 112  
Bátiz-Lazo, B. & Wood, D. (2001), Management of core capabilities in Mexican and European  
banks, International Journal of Bank Marketing, Vol. 19 No. 2.  
Berger, A. (1997), "Continuous improvement and kaizen: standardization and organizational  
designs", Integrated Manufacturing Systems, Vol. 8 No. 2, pp. 110 - 117.  
Canepari, A. (2006), “Lean Accounting”, Come gestire la transizione dalla fabbrica snella  
all’azienda snella, pp. 13 19.  
Cardona, J. & Bribiescas, F. (2015), Respect for people: the forgotten principle in lean  
manufacturing implementation”, European Scientific Journal, Vol. 11, pp. 45 - 61.  
Carter, L. & Campbell, R. (2011), The Impact of Trust and Relative Advantage on Internet  
Voting Diffusion”, Journal of theoretical and applied electronic commerce research, Vol. 6 No.  
3, pp. 28 - 42.  
Chris, A, O. & Murry, P. (2010), Visual Controls: Applying Visual Management to the Factory,  
Productivity Press.  
Cheolho, Y., Dongsup, L. & Albert W. K. Tan (2020), An empirical study on factors affecting  
customers’ acceptance of internet-only banks in Korea, Cogent Business & Management.  
Cocheo, S. (1995), Test-driving' OCC's streamlined exam, ABA Banking Journal, Vol. 87 No.  
2, pp. 26 - 28.  
Damrath, F. (2012). Increasing competitiveness of service companies: developing conceptual  
models for implementing Lean Management in service companies”, Semanticscholar, Available  
at:  
companies%3A-in-Damrath/932957c452645e325ea39397a636586b14b60f74.  
Darabi, R., Moradi, R. & Toomari, U., (2012), Barriers to Implementation of Lean Accounting  
in Manufacturing Companies, International Journal of Business and Commerce, Vol. 1, No. 9,  
pp. 38 51.  
Davis, F. (1986), A technology acceptance model for empirically testing new end-user information  
systems: Theory and results, Sloan School of Management, Massachusetts Institute of Technology,  
Massachusetts, United States.  
Davis, F. (1980), Perceived Usefulness, Perceived Ease of Use, and User Acceptance of  
Information Technology”, Vol. 13, pp. 318 341.  
Davis, F., Bogozzi, R., P. & Warshaw, P., R. (1989), User acceptance of computer technology:  
A comparison of two theoretical models, Management Science, Vol. 35, pp. 982 1003.  
DeLuzio, M. (2008), Accounting for Lean: Adopting Lean Accounting to Promote Lean  
Behaviors.  
Eslami, K., Moradi, Z. & Khanmohammadi, M. (2019), Value Stream Costing using a New  
Theory: Technology Acceptance Model, International Journal of Finance & Managerial  
Accounting, Vol. 4 No. 15, pp. 115 - 126.  
FTU Working Paper Series, Vol. 2 No. 3 (09/2021) | 113  
Fernado, J. (2021), Guide to Accounting, Investopedia,  
Available at:  
Fishbein, M. & Ajzen, I. (1975), Belief, attitude, intention, and behaviour: An introduction to  
theory and research, Reading, MA:Addison-Wesley.  
George, M. L. (2003), Lean Six Sigma for service : How to use Lean speed and Six Sigma quality  
to improve services and transaction, The McGraw-Hill companies  
Government (2016), Resolution 41/NQ-CP. Resolution on tax incentives for development and  
application of information technology in Vietnam.  
Government (2017), Decisions 283/QĐ-Ttg. Decision on "Plan on restructuring the service  
industry to 2020, with an orientation to 2025.  
Grasso, L. (2015), “Obstacles to Lean Accountancy”, Lean Accounting, pp. 177 207.  
Handayani, P. & Arifin, Z. (2017). Factors affecting purchase intention in tourism e-  
marketplace”, 2017 International Conference on Research and Innovation in Information Systems  
(ICRIIS).  
Hair, J., Black, W., Babin, B. & Anderson, R. (2010), Multivariate Data Analysis, Prentice-Hall.  
Hsiuli, L. (2016), “The Effect of Presentation Types and Flow on E-Book Purchase Intention.  
EURASIA”, Journal of Mathematics, Science and Technology Education, Vol. 12, pp. 669 - 686.  
Huang, C.-Y., et al (2020), A Derivation of Factors Influencing the Diffusion and Adoption of an  
Open Source Learning Platform”, Sustainability, Vol. 12 No. 18, pp. 7532.  
Hussein, Z. (2017), Leading to Intention: The Role of Attitude in Relation to Technology  
Acceptance Model in E-Learning, Procedia Computer Science, Vol. 105, pp. 159 - 164.  
Hussein, Z., Oon, W. & Fikry, A.(2017), Consumer Attitude: Does It Influencing the Intention to  
Use mHealth?, Procedia Computer Science, Vol. 105, pp. 340 - 344.  
Introbooks, (2015), Introduction to lean accounting.  
John, B, & Mike, F. (2007), Accounting for Lean Success.  
Kabanize, What Is Continuous Improvement? Definition and Tools.  
Katko, N. & Luca M. (2020). Lean Accounting: Aligning Financial Management Practices”,  
Katko, N (2020), “Lean Accounting: Aligning the Lean Organization”, Available at:  
Karla, S-B., Guillermo, H-M., Paulina, G-Z., & Julián, G-R., (2017), Prior Exposure and  
Educational Environment towards Entrepreneurial Intention, Journal of technology management  
& innovation, Vol. 12 No.2, pp. 45 - 58.  
Kato, S. (1981), My years with Toyota, Toyota Motor Sales Company.  
Lee, Y-H. et al (2011). Adding Innovation Diffusion Theory to the Technology Acceptance  
Model: Supporting Employees' Intentions to use E-Learning Systems”, Educational Technology  
& Society, Vol. 14, pp. 124 - 137.  
FTU Working Paper Series, Vol. 2 No. 3 (09/2021) | 114  
Leong, K. FinTech (2018), What is it and how to use technologies to create business value in  
fintech way?”, Int. J. Innov. Manag. Technol, Vol. 9, pp. 74 78.  
Levitt, T. (1972), Production line approach to service, Harvard Business Review, Vol. 50 No. 5,  
pp. 22 - 31.  
Lingxian, Z., Haojie, W., Daoliang, L., Zetian, F., Shuang, C. (2010), E-learning adoption  
intention and its key influence factors based on innovation adoption theory”, Mathematical and  
Computer Modelling, Vol. 51, pp. 11 12.  
Lin, W.R, et al (2020), “Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An  
Empirical Study in Taiwan”, Mathematics, Vol. 8 No. 10.  
Monden, Y. (1995), Cost Reduction Systems: Target Costing and Kaizen Costing, Productivity  
Press, Portland, Oregon,.  
Monteiro, J. (2012), Improve Quality of Life - additional criteria for health and social care  
information technology acceptance in an ageing world, Study Health Technol Inform.  
Maskell, B. & Baggaley. B. (2004), Practical Lean Accounting: A Proven System for Measuring  
and Managing the Lean Enterprise, New York: Productivity Press.  
Maskell, B., H. & Baggaley, B. (2006), Lean accounting: What's it all about?, Target Magazine,  
Vol. 22 No.1, pp. 35 43.  
Maskell, B., H. & Kennedy, F.A. (2007), Why do we need lean accounting and how does it  
work?”, Journal of Corporate Accounting & Finance, Vol. 18 No. 3, pp. 59 73.  
Maskell, B., H. & Kennedy, F.A. (2014), Accounting for the lean enterprise: Major changes in  
the accounting paradigm, Institute of Management Accountants, 10 Paragon Drive.  
Qi, L. & Ismail, S. (2019), Factors Influencing Small And Medium Enterprises' Behavior And  
Intention To Adopt Accounting Information System (AIS) Based Information Technology (IT),  
2nd International Conference on E-Business, Information Management and Computer Science.  
Rao, M. H. & Bargerstock A. (2011), Exploring the Role of Standard Costing in Lean  
Manufacturing Enterprises, Management Accounting Quarterly.  
Rogers (1962), Diffusion of Innovations.  
Rogers (2003), Diffusion of Innovation fifth edition, The Free Press.  
Ruiz de Arbulo P., Fortuny J., García J., Díaz de Basurto P. & Zarrabeitia E. (2012), Innovation  
in Cost Management. A Comparison Between Time-Driven Activity-Based Costing (TDABC) and  
Value Stream Costing (VSC) in an Auto-Parts Factory.  
streams/  
Scott, S.D. et al. (2008), Factors influencing the adoption of an innovation: An examination of  
the uptake of the Canadian Heart Health Kit (HHK), Implementation Sci, Vol. 3, pp. 41.  
Septiani, R., Handayani, P. & Azzahro, F. (2017), Factors that Affecting Behavioral Intention in  
Online Transportation Service: Case study of GO-JEK”, Procedia Computer Science, Vol. 124,  
pp. 504 - 512.  
FTU Working Paper Series, Vol. 2 No. 3 (09/2021) | 115  
Shahrokh, N. (2019), Factors driving the adoption of smart home technology: An empirical  
assessment”, Telematics and Informatics, Vol. 45.  
Sheahan, K. (2017), “Lean organization definition, Available at: https://bizfluent.com/facts-  
6834186-lean-organization-definition.html  
Skinner, W. (1969), “Manufacturing-missing link in corporate strategy, Harvard Business  
Review, Vol. 47 No. 3, pp. 136 - 145.  
Swank, C. K. (2003), The Lean Service Machine, Harvard Business Review, Vol. 81, pp. 123 –  
129.  
Stone, W. (2017), Lean Accounting Comes to Lean Software Development”, Seventh  
International Engaged Management Scholarship Conference, Fox School of Business Research,  
No. 17, pp. 30.  
Suarez-Barraza, M. & Miguel-Davila, J. (2009), Encontrando al Kaizen: Un análisis teórico de  
la Mejora Continua, Pecvnia, Vol. 7, pp. 285 - 311.  
Tabachnick, B. G. & Fidell, L.S. (1996), Using Multivariate Statistics (3rd ed.), New York: Harper  
Collins.  
Tan, M. & Teo, T. (2000), Factors Influencing the Adoption of Internet Banking, Journal for  
association of information system, Vol. 1, No. 5, Available at: WWW.isworld.org.  
Terziovski, M. (2002), Achieving performance excellence through an integrated strategy of  
radical innovation and continuous improvement, Measuring Business Excellence, Vol. 6, pp. 5 -  
14.  
Uzun, T. (2015), Lean Accounting Method for Reduction in Production Costs in Companies,  
International Journal of Business and Social Science, Vol. 6 No. 9.  
Venkatesh, V. & Davis, F. D. (1996), A model of the antecedents of perceived ease of use.  
Wang, Y., Meister, D. & Wang, Y. (2008), Relative Advantage and Perceived Usefulness: The  
Adoption of Competing.  
FTU Working Paper Series, Vol. 2 No. 3 (09/2021) | 116  
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