Malaysia’s National Digital Identity Initiative (NDII) aims to
revolutionise digital services and improve citizen engagement.
This study investigates the awareness, perception and acceptance
of National Digital Identity (NDI) among the Malaysian
population. A quantitative research approach was used, employing
cross-tabulation analysis, descriptive analysis and Rasch
measurement analysis. The results show that targeted education
campaigns are needed to ensure widespread understanding and
acceptance of NDI. Demographic factors such as gender, age,
marital status, ethnicity/race, education level and place of
residence were associated with awareness of NDI. Privacy and
security concerns emerged as significant barriers to uptake,
highlighting the importance of robust security measures and
transparent data processing practices. User-friendly design and
the inclusion of biometric authentication methods were
identified as key factors influencing adoption. Based on these
findings, recommendations are made to promote awareness and
acceptance of NDI. These include education and awareness
campaigns, inclusive design, integration with existing services
and targeted outreach based on demographic factors. It also
identifies future research areas such as policy and regulatory
frameworks, user-centred design, stakeholder engagement,
implementation strategies and technological considerations to
support the successful implementation of the NDII. This study
provides valuable insights for policymakers, researchers and
stakeholders involved in the development and deployment of
digital identity systems.
Keywords: National Digital Identity, Public Awareness,
Public Perception, Public Acceptance, Descriptive Analysis,
Rasch Measurement, Cross Tabulation
02 introduction
Malaysia is preparing to launch the NDII, which aims to create a
secure and reliable digital identity system for its citizens.
The success of the NDII depends not only on a strong
technological infrastructure but also on public awareness,
perception and acceptance. This preliminary study aims to
provide insights into the expected public opinion towards the
NDII in order to support its effective planning and
implementation.
In today’s digital age, digital
identity systems are becoming increasingly important as they
provide individuals with secure access to online services and
improve administrative efficiency (Hilowle et al., 2022;
Zulkifli et al., 2023). The NDII is expected to revolutionise
service delivery, streamline processes and foster a more
connected and digitally literate nation. However, before
embarking on such a transformative project, a comprehensive
understanding of public awareness, perception and acceptance is
essential.
This study recognises that the NDII has
not yet been implemented and emphasises the need for
forward-looking research to assess public expectations,
concerns, and preferences. By collecting preliminary data, the
study aims to inform policymakers, government agencies, and
stakeholders about potential challenges and opportunities
associated with the NDII so that they can develop tailored
strategies.
Using a survey-based approach, a diverse
group of Malaysian citizens will be interviewed to measure their
awareness of digital identity concepts, their perceptions of
privacy and security, and their likely acceptance and adoption
of the NDII. Conducting this pre-implementation survey will
provide valuable insights that can support the development of
targeted awareness campaigns, the removal of potential barriers
and the improvement of user experience and satisfaction.
This
paper presents the rationale and methodology for the pre-study,
emphasising the importance of understanding public opinion
before implementing the NDII. The following sections focus on
the literature review, methodology, research findings, and
discussions that provide insight into public awareness,
perception, and acceptance of the NDII. The article concludes
with recommendations for policymakers and stakeholders,
highlighting the need for ongoing research and evaluation as the
NDII moves forward.
Our aim with this preliminary
study is to contribute to the successful implementation of the
NDII in Malaysia by ensuring that public sentiments are taken
into account, concerns are addressed and effective strategies
are developed to maximise awareness, perception and acceptance
among the Malaysian population.
03 literature review
Public Perspectives on Digital Identity and Privacy in Malaysia
Available studies on Malaysia’s NDII and related issues offer
insights into public perspectives and privacy concerns. This
section provides an overview of the research conducted in
Malaysia that addresses the NDI framework, public attitudes
towards digital applications, privacy concerns and data
security.
A 2020 public consultation report by PricewaterhouseCoopers was
the only study on the NDI framework in Malaysia
(PricewaterhouseCoopers, 2020). It aimed to introduce the NDI
concept, and gather feedback and recommendations. However, the
study primarily focused on raising awareness among public and
private sector employees through a limited survey.
Turner and Sofia Amirnuddin (2018) explored Malaysians’
perspectives on social media responsibility, privacy and
personal data security. Participants felt that multiple parties,
not just the government, should protect online privacy. They
also emphasised the responsibility of social media users to
protect their own data.
Chua et al. (2021) examined how Malaysians’ willingness to share
personal information varies according to demographic factors.
The study found significant differences in privacy concerns and
intentions to disclose different types of personal data. Age,
gender and industry of employment influenced willingness to
share information on tracking, finance, authentication and
health.
Nor and Fuat (2021) focused on understanding how Malaysian
teenagers and young adults present themselves on Facebook. The
study showed how individuals present themselves online and how
they portray themselves. It emphasised the importance of
educating adolescents, especially girls, about the consequences
of their online persona and guiding them towards appropriate
online behaviour.
Shalihah and Mohd Shariff (2022) explored privacy and data
protection challenges in equity crowdfunding activities in
Indonesia and Malaysia. The research aimed to improve existing
laws and regulations. While Malaysia has regulations such as the
Personal Data Protection Act (PDPA) of 2010, theft of personal
data is more prevalent in Malaysia compared to Indonesia. The
study highlights the need for ECF platform organisers to
understand the provisions of the PDPA 2010.
These studies provide insights into the public’s
perspective, privacy concerns, and data protection challenges
relevant to NDII in Malaysia. Policymakers and stakeholders can
use these insights to promote public awareness, protect privacy,
and ensure the successful implementation of the NDI
framework.
International Perspectives on National Digital Identity
Initiatives
The NDIIs have gained prominence around the world as governments
seek to provide secure and convenient digital services to their
citizens. This literature review examines the implementation and
impact of NDIIs in Singapore, Canada, Morocco and the United
Kingdom. By examining these international examples, valuable
lessons can be learned for developing and improving similar
initiatives in other countries.
The Singapore
government introduced Singpass, a robust personal authentication
system for online government services, in 2003 (Bank, 2022).
Singpass offers multiple login methods, including fingerprint,
facial recognition and passcode, and provides secure and
flexible access to digital services (Singapore, 2023). Singpass
Mobile, the country’s mobile digital identity platform, has
gained significant penetration, with over 2.1 million daily
users. In addition, SafeEntry, an extension of Singpass used for
COVID-19 check-ins, has further enhanced the platform’s
usability and reach.
In Canada, the Government of
Canada’s Digital Ambition sets the strategic vision for digital
service delivery, cybersecurity, talent recruitment and privacy
(Boysen, 2021). A survey conducted by VMware found that the use
of online government services in Canada continues to grow
(Canada, 2022). 88 per cent of Canadians have already used such
services. However, the survey also showed that public
perceptions of government digital services lag behind those of
the private sector and trust in government’s handling of
personal data remains moderate.
Morocco’s Digital
Development Agency (ADD) and the Directorate of National
Security (DGSN) have launched a national digital ID platform
based on IDEMIA’s eID card technology (The Kingdom of Morocco
Introduces a National Digital ID Programme, 2022). This
initiative aims to improve digital trust, security and
convenience for Moroccan citizens. The uptake of the new eID is
remarkable: since August 2020, more than 10 million electronic
identity cards have been issued, representing approximately
one-third of the country’s population.
The Verify
system was launched in the United Kingdom in 2016 as a digital
identity platform (DI) that allows citizens to access government
services online (Harbinja, 2017). The system worked by verifying
users’ personal data with the help of a third-party identity
provider. Although it successfully expanded access to digital
services and reduced fraud, it was criticised for its complexity
and ease of use (Forum, 2023). Concerns were also raised about
the system’s implementation costs and lack of support for
smaller businesses. As a result, it was announced that the
Verify system would be discontinued on 28 October 2022. From
mid-December 2022, no new accounts were accepted and all Verify
services were completely discontinued in April 2023.
04 methodology
This study uses a quantitative research design to measure the
extent of public awareness, perception and acceptance of the
Malaysian NDII before its official launch. This section provides
an overview of the theoretical framework used in the study,
outlines the process of developing the research instrument,
explains the sampling methodology and describes the data
collection and analysis procedures. As the NDII has not yet been
adopted in Malaysia, the results of the study will be important
in assessing the public’s readiness and identifying factors that
may influence their willingness to accept and adopt this digital
identity system.
Theoretical Framework
The methodology used in this study is based on two (2)
established theories: the Technology Acceptance Model (TAM) and
the Perception of Risks and Negative Consequences Theory. TAM
focuses on users’ attitudes and perceptions towards technology
acceptance (Alshari & Lokhande, 2022), while the Perception
of Risks and Negative Consequences Theory examines the influence
of perceived risks on the intention to adopt and use technology
(Koester et al., 2022). By integrating these theories, this
study aims to understand the factors that influence the
acceptance and adoption of NDI services by Malaysians and
contribute to the success of NDII in Malaysia.
Design of the Research Instrument
The research instrument consists of eight (8) questions
developed based on the theoretical framework. The questionnaire
aims to collect information on the public’s awareness of the NDI
system, acceptance of NDI services and perceptions of the
benefits associated with it. It also explores the motivating
factors for the adoption of the identity system and identifies
effective strategies to promote the NDII and the use of its
associated services.
Sample & Participants
The study targets adults aged 15 years and above residing in
Malaysia. Probability sampling will be used to select a
representative sample from the target population. The sample
size will be determined using statistical power analysis to
ensure that the research questions can be adequately answered.
Data Collection & Analysis
Data will be collected through an online survey addressed to the
selected sample. The questionnaire contains demographic
questions as well as questions on awareness, perception and
acceptance of the NDII in Malaysia. The questionnaire was
subjected to a pilot study with a small sample to ensure its
validity and reliability. Descriptive statistics, such as means,
modes and frequencies, are used to summarise the data.
Inferential statistics, including cross-tabulations, are used to
examine the relationships between demographic variables and
awareness, perception and acceptance of the NDII. Rasch
measurement analysis may also be used to assess the psychometric
properties of the research instrument.
Ethical Considerations
All participants will be informed of the purpose of the study,
the nature of the questions, and their right to withdraw at any
time. Informed consent will be obtained from all participants
prior to participation in the survey. The data collected will be
kept confidential and used for research purposes only.
05 findings and analysis
This section presents the comprehensive results and analysis
obtained from a combination of descriptive analysis, Rasch
measurement and cross-tabulation techniques. The aim was to
explore the relationship between respondents’ information and
their awareness, perception and acceptance of NDI services.
The
analysis began with descriptive statistics that provided an
overview of respondents’ characteristics and their level of
familiarity with different identity systems. This initial
exploration allowed us to identify trends and patterns in
demographic factors such as gender, age, ethnicity/race, work
status, employment sector, education level, income level and
country of residence.
A Rasch measurement analysis
was then conducted to gain a deeper understanding of
respondents’ attitudes, concerns and expectations regarding NDI
services. The Rasch analysis provided us with insights into how
the survey questions functioned differently and allowed us to
assess the relative difficulty and distinctiveness of each item.
This analysis helped us refine the measurement scales and ensure
the validity and reliability of the data.
Building on
the descriptive and Rasch measurement analyses, cross-tabulation
techniques were used to examine the relationships between
respondents’ statements and various aspects of NDI services.
These analyses explored the relationships between demographic
factors and awareness, perceived risks, expected benefits and
preferences for NDI services.
By combining results
from descriptive, Rasch measure and cross-tabulation analyses,
we obtained a comprehensive understanding of how different
demographic and socio-economic factors influence awareness,
perception and acceptance of NDI services. This integrated
approach allowed for a nuanced examination of the data,
revealing variations and trends that can inform targeted
strategies and interventions.
Descriptive Statistics
A total of 1,014 people participated in this study, the majority
of whom were female (77.2 per cent) and the remainder identified
as male (22.8 per cent). The age distribution showed that the
largest group fell into the 30 to 39 age group (52.8 per cent),
followed by the 15 to 29 age group (32.8 per cent). Most
participants were married (54.5 per cent), while a smaller
percentage described themselves as single (42.9 per cent) or
divorced (2.6 per cent ). In terms of ethnicity/race, the
majority of participants reported being Malay (73.5 per cent),
while a smaller percentage described themselves as Indian (3.5
per cent) or other (0.1 per cent). In terms of occupational
status, managerial occupations were the most common (57.3 per
cent), followed by skilled workers (10.1 per cent ) and
professionals (11.8 per cent). The majority of participants
worked in the private sector (79.4 per cent), while a smaller
percentage worked for the government (15.3 per cent). The
highest level of education attained was a university degree
(60.7 per cent), followed by a diploma (20.3 per cent) and a
master’s degree (12.0 per cent). Most participants lived in
rural areas (70.8 per cent), while 29.2 per cent were from urban
areas. In terms of household income, the majority reported a
monthly income of less than RM4,850 (80.4 per cent). The most
represented states of residence were Pahang (11.6 per cent),
Sarawak (10.6 per cent) and Sabah (10.1 per cent), while Pulau
Pinang (1.3 per cent), WP Kuala Lumpur (2.6 per cent), WP Labuan
(2.2 per cent) and WP Putrajaya (2.2 per cent) were the least
represented. These demographic findings provide valuable
information for understanding the differences in awareness,
perceptions and uptake of the NDII among the different groups
and allow for targeted strategies to increase uptake among the
different demographic groups and maximise the success of the NDI
system.
The descriptive analysis results provide
valuable insights into respondents’ awareness, concerns,
expectations, and preferences regarding the NDII. The results
show that a high percentage of respondents are familiar with
various identity systems, such as password/ PIN, RFID,
biometrics, IP address, and electronic signatures. This
indicates that respondents have a good level of knowledge about
these systems, which is an important factor for the successful
implementation of the NDII.
When assessing the risks
associated with identification systems, it was found that the
majority of respondents expressed concerns about potential risks
such as online behaviour tracking, information being used
against them, fraudulent charges on their credit cards, identity
theft, disclosure of private information and unauthorised access
to personal data. A smaller percentage of respondents were
concerned about the risk of data compromise by hackers. These
findings highlight the need to address these concerns in order
to increase awareness, acceptance and perceived usefulness of
identification systems.
In terms of the benefits
expected from a service such as NDII, most respondents indicated
that they expected minimal user effort, ease of task completion,
secure identification, cost savings, control over personal data
and the ability to detect identity fraud. These expectations are
consistent with the potential benefits of an efficient and
secure digital identity system. These findings can be used in
developing effective promotional strategies for the NDII to
highlight the benefits to potential users.
The
analysis also explored the factors that might motivate
respondents to use identification systems. The availability of a
single data set containing all their transactions, interactions,
and traces to increase their awareness of their surroundings was
found to be the most motivating factor. Other motivating factors
included data verification, details about the identification
system, compliance with data protection regulations, a verified
security credential, and safeguards against disclosure of
information to third parties. These factors can guide the
development of the NDII to meet user expectations and increase
adoption.
In terms of awareness of the NDI, the
results showed that while a significant proportion of
respondents were aware of the initiative, a significant number
were not aware of it. This suggests that efforts to increase
awareness and promote the NDII are necessary to achieve the
intended impact. The results also indicate that the majority of
the respondents would use the NDII for various services such as
e-health records, government aid authentication, online
government services, financial institution verification,
telecommunication service verification, e-hailing verification,
education-related authentication, e-commerce verification and
pension authentication. This shows the potential impact of the
NDII on several sectors.
In terms of promotional
methods, social media advertising, particularly on platforms
such as Facebook, WhatsApp, Telegram, Twitter and TikTok, was
cited as the preferred method of informing people about NDI
services. Traditional media such as radio and television
advertisements were also cited as effective advertising
channels. These findings suggest that a combination of social
media and traditional media approaches would be beneficial in
promoting the NDII and increasing awareness and uptake among the
target group.
Rasch Measurement
The Rasch model provides a robust framework for measuring latent
characteristics and analysing item responses. The results
provide a comprehensive understanding of the participants’
characteristics and the psychometric properties of the
measurement instrument.
The mean total score of
participants was 44.5, indicating moderate levels of awareness,
perception and acceptance of NDI services. The standard error of
the mean was 0.3, indicating the accuracy of the estimated mean.
The standard deviation of the person (P. SD) and the standard
deviation (S. SD) were both 10.7, reflecting the dispersion of
participants’ responses around the mean. The maximum score of
54.0 and the minimum score of 0.0 show the full range of
responses observed in the data.
The Rasch analysis
provides several indicators of the quality of the measurement.
The real root mean square error (RMSE) was 0.81, which
represents the average amount of residual variance between the
model’s predictions and the observed data. A lower RMSE
indicates a better fit of the model to the data. The true
standard deviation, distance and person reliability provide
information about the reliability and precision of the
measurement. In this study, the true standard deviation was
1.05, the distance was 1.30 and the person reliability was 0.63,
indicating acceptable measurement properties.
In
addition, the model RMSE, true standard deviation, separation
and person reliability were also examined. The model RMSE, which
measures the discrepancy between the observed data and the
expected responses of the model, was 0.79, indicating a good
fit. The true standard deviation was 1.06, similar to the
previous analysis, indicating consistent measurement properties.
The separation was 1.34, indicating the ability of the
measurement instrument to discriminate between individuals with
different expressions of the latent trait. The person
reliability of 0.64 indicates an acceptable level of measurement
reliability.
The correlation between the raw score
and the measured score was 0.91, indicating a strong positive
relationship. This result indicates that the items of the
measurement instrument effectively capture the underlying
construct of awareness, perception and acceptance of NDI
services. The high Cronbach’s alpha (KR-20) of 0.92 demonstrates
the internal consistency and reliability of the measurement,
indicating that the items measure the same construct and
consistently provide reliable responses. The standardised
reliability coefficient of 0.77 further confirms the good
reliability of the measurement.
The analysis also
identified certain items that were misfits in relation to the
Rasch model. These inappropriate items, ranked by their degree
of misfit, can be revised or removed to improve the validity of
the measurement instrument. In addition, Differential Item
Functioning (DIF) analysis revealed significant differences in
item performance between men and women on several items. This
suggests that gender factors may influence people’s responses to
the items and should be taken into account in further research
or when interpreting the results.
cross tabulation
The cross-tabulation analysis between the respondents’
statements and the questions on awareness, perception and
acceptance of NDI services revealed several important findings.
Significant differences were found in the use of identity
systems, particularly RFID, biometrics, and electronic
signatures, based on demographic and socio-economic factors.
Gender, marital status, ethnicity/race, work status, employment
sector, education level, place of residence, income level, and
country of residence were found to play a role in the use of
identity systems. However, factors such as password/ PIN and IP
address were not influenced by demographic factors.
In terms of the warned risks of identification systems, most
factors showed no significant association, with the exception of
gender, which was associated with the risk of unauthorised
access to personal data.
Awareness of the NDII was significantly related to gender, age,
ethnicity/ race, work status, employment sector, education
level, income level and country of residence. Targeted efforts
are needed to increase awareness of specific demographic groups.
Across all demographics, the expected benefits of services such
as the NDI, such as minimal user burden, ease of task
completion, secure identification, cost savings, control of
personal information and identity fraud, were found to be
significant. Demographic considerations are important for the
development and marketing of similar services.
Factors such as ethnicity/race, work status and income level had
the greatest impact on the attractiveness of NDI users.
Providing options for managing personal data, ensuring complete
confidentiality and using biometrics were identified as
effective strategies. Gender, age, marital status, education
level and place of residence were less important in attracting
users. To attract more users, the NDI service should prioritise
the management of personal information, confidentiality and the
integration of biometric data, while taking into account factors
such as ethnicity/race, work status and income level.
In terms of gender, women were more familiar with identity
systems, with the exception of IP addresses. Password/ PIN and
biometrics were the most familiar, while RFID and electronic
signatures were the least familiar. Women also expressed more
concern about risks and expected more benefits from NDI.
Preferences for a free service with options to manage personal
data, shorter waiting times, a simple registration process,
complete confidentiality, annual system audits and the
integration of biometrics were expressed more often by women
than by men.
In terms of age, the 15 to 29 age group was familiar with
passwords/ PIN, RFID and biometrics, while the 30 to 39 age
group was well familiar with all identity systems. Familiarity
decreased with age and concern about risk was high across all
age groups, with the 30 to 39 age group showing the greatest
concern. Those aged 30 to 39 also gave the most positive
responses about the benefits of NDI. Across all age groups, the
reasons cited for attracting more users were the free provision
of the service, control of personal data, shorter waiting times,
an easy sign-up process, confidentiality, system audits and the
integration of biometrics. Those aged 30 to 39 and 40 to 49 gave
more positive responses for control of personal information,
ease of subscription and system audits.
Among the different marital status groups, married people had
the highest positive responses for all identity systems and
risks. Divorced participants showed the lowest positive
responses and a lower preference for biometrics.
In terms of race/ethnicity, Malays had the highest familiarity
and most positive responses for multiple systems and risks,
while Chinese respondents showed scepticism in certain areas.
Malays also gave the most positive responses on benefits,
followed by Bumiputra from Sabah/Sarawak. All ethnic groups
preferred a free service and absolute confidentiality.
Biometrics, personal information management, shorter waiting
times, an easy registration process and system audits were only
moderately important.
In terms of occupational status, respondents in managerial
positions were the most familiar with identity systems, while
pensioners had the least familiarity with them. Skilled workers
had the highest number of respondents who were not familiar with
any system. All occupational groups were aware of the risks
associated with identification systems, with hacking being the
biggest problem. Respondents in managerial positions showed the
highest awareness of risk, while pensioners and
non-professionals showed the lowest. Respondents in senior
positions also gave the most positive responses for all
benefits, and preferences for a free service, control of
personal data, shorter waiting times, an easy login process,
confidentiality, system audits and biometrics were the same
across employment, with respondents in senior positions giving
the most positive responses.
Among the different employment sectors, the private sector had
the highest familiarity with all identity systems, followed by
the government sector. Perceptions of risk varied across
sectors. The private sector expressed more concern about
embarrassing details and credit card fraud, while the government
sector focused on unauthorised access and misuse of information.
Private sector respondents gave the most positive responses for
all benefits. Preferences for a free service, control over
personal data, shorter waiting times, an easy sign-up process,
confidentiality, system audits and biometrics were the same
across all sectors, with the private sector giving the most
positive responses.
Respondents with higher levels of education, especially diploma
and university graduates, were more positive about all identity
systems. Higher levels of education were also associated with
greater awareness of the risks associated with identification
systems. However, a significant proportion of respondents at all
education levels expressed uncertainty about the risks,
indicating a need for further education and awareness-raising.
Among the education groups, respondents with a university degree
had the highest number of positive responses and showed the most
positive attitudes towards the benefits and policies of the NDI
service.
In terms of place of residence, both urban and rural residents
reported being familiar with passwords/PINs, but were mostly
unaware of RFID. Biometrics and IP addresses were more familiar
to rural residents. In terms of benefits, rural respondents were
more likely to agree with minimal user effort, simplification of
tasks, secure identification, cost savings, control of personal
data and detection of identity fraud. Both urban and rural
respondents agreed that providing the service for free, managing
personal data, reducing waiting time, simplifying the enrolment
process, ensuring confidentiality, conducting system checks and
using biometrics for selfverification attracted more users.
Respondents showed familiarity with different identity systems,
with passwords/PINs and RFID being the most familiar.
Familiarity varied by income level, with higher-income
individuals more familiar with most systems. Respondents with
higher incomes were more aware of the risks associated with
identification systems. Respondents with a household income of
less than RM4,850 had the most positive responses. Most
respondents from all income levels believed in the benefits of
NDI-like services. The factors that attract more users were the
same across all income strata.
In terms of state of residence, passwords/ PINs were the most
popular identity system in all states, with Pahang having the
highest usage. RFID, biometrics, IP addresses and electronic
signatures were less popular. Respondents were aware of the
risks, with differences between states. Kelantan had the highest
number of positive responses among the resident state groups.
Most respondents agreed with the benefits, such as minimal user
effort, simplicity of tasks, secure identification, cost
savings, control of personal information and detection of
identity fraud. Responses varied by strategy, with Pahang and
Kelantan receiving the most positive responses in some cases.
Biometrics for self-verification was generally preferred, with
differences between states.
06 recommendations
The study’s findings and analysis have significant implications
for promoting awareness and adoption of the Malaysian NDII.
Targeted awareness campaigns are essential to ensure widespread
understanding and acceptance of the NDI. The study shows that
demographic factors such as gender, age, marital status,
ethnicity/race, education level, and place of residence are
associated with awareness levels. Policymakers should tailor
their outreach efforts to specific demographic groups, drawing
on the effectiveness of targeted campaigns demonstrated in
previous research.
Addressing privacy and security concerns is critical to building
trust and acceptance of the NDII. Participants expressed
significant concerns about online privacy and data security. To
address these concerns and build public trust, policymakers
should prioritise robust security measures, transparent data
processing practises and clear privacy information. This is in
line with the findings of previous research, such as the study
by Elaswad and Jensen (2016), which highlights the importance of
addressing privacy and security concerns in strengthening public
trust in digital identity systems. Policymakers should
prioritise the implementation of robust security measures,
transparent data processing practises and clear privacy
information to address concerns and increase trust in the NDII.
The study highlights the importance of a user-friendly design
for the NDII. Participants emphasised minimal user effort, ease
of task execution and secure identification. Policymakers should
prioritise intuitive interfaces, streamlined processes and clear
instructions to ensure easy navigation and use of NDI services.
This emphasis on ease of use and usability is consistent with
previous studies that have shown it to have a significant impact
on the adoption and acceptance of digital identity systems (Sule
et al., 2021). Policymakers should prioritise intuitive
interfaces, streamlined processes and clear instructions to
ensure that citizens can easily navigate and use NDI services,
thus improving user acceptance and adoption.
The use of biometric technologies in the NDII can increase
security and user convenience, leading to greater adoption.
Participants were positive about identification systems that
incorporate biometrics. Policymakers should consider
incorporating biometric authentication methods such as
fingerprint or facial recognition based on the findings and
recommendations of previous research. Previous research, such as
the study by Nnamoko et al. (2022), suggests that the inclusion
of biometrics in digital identity systems can increase security
and user convenience, leading to greater adoption. Policymakers
should consider using biometric technologies such as fingerprint
or facial recognition as part of the NDII to provide secure and
user-friendly authentication methods.
Several recommendations are made to promote awareness and
acceptance of the NDII. First, the Malaysian government should
launch a comprehensive education and awareness campaign
targeting all age groups, genders, and income levels. Messages
should be tailored to the needs of specific groups to maximise
effectiveness. In addition, the NDII should be inclusive and
accessible to all. People with disabilities and those who are
not computer literate should receive support. User-friendly
interfaces and assistance should be provided to facilitate use.
Integrating the NDII with existing services such as banking and
health services would increase convenience and reduce
duplication of personal data. This integration would result in
faster service and less paperwork for citizens. In addition,
demographic-specific recommendations can optimise awareness and
acceptance efforts. Targeted outreach programmes should be
implemented for women, different age groups, couples and
families, different ethnic groups and communities, employed and
unemployed people, specific employment sectors, different levels
of education and regions with lower digital literacy.
The implementation of these recommendations will help overcome
barriers, raise awareness, address concerns and promote
acceptance and adoption of the NDII. In this way, Malaysia can
create a secure and user-friendly digital identity ecosystem
that benefits all citizens.
07 conclusion
In conclusion, the study’s findings and analysis provide
valuable insights into the factors that influence awareness,
perception, and acceptance of the Malaysian NDII. The study
highlights the need for targeted awareness campaigns aimed at
specific demographic groups, building on previous research that
emphasises the effectiveness of such campaigns in increasing
public awareness and knowledge of digital identity schemes.
Privacy and security concerns emerged as significant barriers to
the adoption of the NDII. This highlights the importance of
implementing robust security measures, transparent data
processing practices and clear communication about privacy. The
study also highlights the importance of user-friendly design.
Participants emphasised minimal user effort, ease of task
completion and secure identification. The use of biometric
technologies in the NDII is recommended due to the positive
perception of such authentication methods by the participants.
To promote awareness and acceptance of the NDII, it is
recommended to launch comprehensive education and awareness
campaigns for all demographic groups, ensure inclusion and
accessibility through user-friendly interfaces and support for
people with disabilities, and integrate the NDII into existing
services to increase convenience. Demographic-specific
recommendations further optimise awareness and acceptance
efforts.
As the Malaysian government prepares to implement the NDII,
future research is recommended to address various aspects and
challenges. These include exploring the policy and regulatory
frameworks needed to support the initiative, focusing on
user-centred design to improve the user experience, engaging
stakeholders and conducting public awareness campaigns,
developing implementation strategies and a comprehensive
roadmap, and considering technological aspects such as digital
infrastructure, interoperability and emerging technologies.
Addressing these research areas can help policymakers and
stakeholders gain valuable insights into the development,
implementation, and roll-out of the NDII in Malaysia. This will
help create a secure and user-friendly digital identity
ecosystem that benefits all citizens by providing convenient
access to services and promoting trust in the digital world.
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