Topic 03: Public Awareness, Perception, and Acceptance of Malaysia's National Digital Identity Initiative

Public Awareness, Perception, and Acceptance of Malaysia's National Digital Identity Initiative

Dr. Faiz Zulkifli

Lead Researcher
Universiti Teknologi MARA

Puan Rozaimah Zainal Abidin

Team Member
Universiti Teknologi MARA

01 ABSTRACT

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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How Ready Are Higher Education Providers to Implement Communications and Multimedia Micro-Credentials?

by Assoc. Prof. Dr Keoy Kay Hooi, Ms. Koh Yung Jing, Asst. Prof. Dr Javid Iqbal, Asst. Prof Dr. Shaik Shabana Anjum, Asst. Prof. Dr. Ho Meng Chuan, Ms. Teoh Wai Yee, Madam Lilian Kek Siew Yick, Asst. Prof. Dr Neesha Jothi, Asst. Prof. Dr Heshalini A/P Rajagopal @ Ramasamy, Prof. Datuk. Dr. Rohana Binti Yusof, Assoc Prof. Dr. Lionel In Lian Aun, Dr. Tan Siew Tin, Assoc Prof. Dr Ooi Pei Boon, Assoc. Prof. Dr Pek Chuen Khee and Dr Yeo Sook Fern
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