How Transboundary Learning Occurs: Case Study of the ASEAN Smart Cities Network (ASCN)

Tan, Si Ying; Taeihagh, Araz; Sha, Kritika

doi:10.3390/su13116502

Cited by 14 publications

(11 citation statements)

References 62 publications

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“…Critical medical capacities were augmented while early warning systems and relevant policies were established long before COVID-19 was identified [ 16 , 18 ]. In addition, they actively capitalized on technological solutions to contain the pandemic by leveraging existing regional digital infrastructure through the ASEAN Smart Cities Network (ASCN), a collaborative platform working toward a common goal of smart and sustainable urban development [ 12 , 19 , 20 ]. These experiences also created a culture of mask-wearing, solidarity, and collective responsibility in the general public [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Mobile Apps Leveraged in the COVID-19 Pandemic in East and South-East Asia: Review and Content Analysis

Lee¹,

Ibrahim²,

Zhang³

2021

JMIR Mhealth Uhealth

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Background The COVID-19 pandemic increased attention to digital tools to support governmental public health policies in East and South-East Asia. Mobile apps related to the COVID-19 pandemic continue to emerge and evolve with a wide variety of characteristics and functions. However, there is a paucity of studies evaluating such apps in this region, with most of the available studies conducted in the early days of the pandemic. Objective This study aimed to examine free apps developed or supported by governments in the East and South-East Asian region and highlight their key characteristics and functions. We also sought to interpret how the release dates of these apps were related to the commencement dates of other COVID-19 public health policies. Methods We systematically searched for apps in Apple App Store and Google Play Store and analyzed the contents of eligible apps. Mobile apps released or updated with COVID-19–related functions between March 1 and May 7, 2021, in Singapore, Taiwan, South Korea, China (mainland), Japan, Thailand, Hong Kong, Vietnam, Malaysia, Indonesia, and the Philippines were included. The CoronaNet Research Project database was also examined to determine the timeline of public health policy commencement dates in relation to the release dates of the included apps. We assessed each app’s official website, media reports, and literature through content analysis. Descriptive statistics were used to summarize relevant information gathered from the mobile apps using RStudio. Results Of the 1943 mobile apps initially identified, 46 were eligible, with almost 70% of the apps being intended for the general public. Most apps were from Vietnam (n=9, 20%), followed by Malaysia, Singapore, and Thailand (n=6 each, 13%). Of note, most apps for quarantine monitoring (n=6, 13%) were mandatory for the target users or a population subset. The most common function was health monitoring (32/46, 70%), followed by raising public health awareness (19/46, 41%) through education and information dissemination. Other functions included monitoring quarantine (12/46, 26%), providing health resources (12/46, 26%). COVID-19 vaccination management functions began to appear in parallel with vaccine rollout (7/46, 15%). Regarding the timing of the introduction of mobile solutions, the majority of mobile apps emerged close to the commencement dates of other public health policies in the early stages of the pandemic between March and April 2020. Conclusions In East and South-East Asia, most governments used mobile health apps as adjuncts to public health measures for tracking COVID-19 cases and delivering credible information. In addition, these apps have evolved by expanding their functions for COVID-19 vaccination.

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Section: Introductionmentioning

confidence: 99%

Mobile Apps Leveraged in the COVID-19 Pandemic in East and South-East Asia: Review and Content Analysis

Lee¹,

Ibrahim²,

Zhang³

2021

JMIR Mhealth Uhealth

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“…Furthermore, it reveals that the GoI did not issue an intelligent city development model as a tool to systemise control of this development (Firmanyah et al, 2017;Anindra et al, 2018b;Herdiyanti et al, 2019). Therefore, this article shows that the immediately unrealised smart city developments were solved when the central GoI shared congruent knowledge with the regions (Tan, Taeihagh, and Sha 2021;Tan and Taeihagh 2020;Yigitcanlar et al, 2019), supporting the regions' chiefs through their cognitive models. Consequently, the GoI has to dismantle its clandestine leadership for the control systems that always actively diagnose smart city development progress (Shelton et al, 2015;Silva et al, 2018;Yoshida and Thammetar, 2021).…”

Section: Introductionmentioning

confidence: 88%

“…This research contributes to the awareness of knowledge mastery and its transformation process to work on smart city development projects or others. Therefore, the authors argue that the GoI's smart city development should be about knowledge supremacy (Bosch-Mauchand et al, 2013;Yigitcanlar et al, 2019;Tan et al, 2021) as a function of constructing the cognitive agents involved. Therefore, this article considers constructivism which proposes that knowledge is the primary driver for successful development.…”

Section: Introductionmentioning

confidence: 99%

The government of Indonesia’s smart city development: Fiscal capacity, cognitive models in decision making, excessive caution about future accrual of benefits, and null regulatory leadership

Bastian¹,

Effendi²,

Susanto³

et al. 2022

Front. Built Environ.

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This article investigates the lack of certainty regarding the success of smart city development in the Government of Indonesia’s regions. The authors suspect that developing smart cities in each region ran independently and nationally, without a unifying strand of knowledge and information system leadership models. Based on these statuses and circumstances, this research examines these phenomena with two critical perspectives: The cognitive model of double-loop learning of smart city development and a dexterous strategy in terms of political economy. Consequently, this study finds that the regions developing a smart city act according to the statuses: Working with only fiscal budget readiness, cognitive models in the decisions to create future works, excessive caution about accruing potential future benefits, and null regulatory leadership in terms of guidelines. Thus, this study concludes that regions develop smart cities in their self-imagination without profound directional boundaries.

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“…In the same year, ASEAN smart cities framework was launched to serve as a non-binding guide to facilitate smart city development in each ASCN city. One of the barriers in ASCN and ASEAN smart cities framework is lack of strong political will among ASEAN countries to promote operational and regulatory mechanisms (Tan et al, 2021). Without common standards and regulations among the cities, the adoption of AI in urban mobility in this region will be slow because technocrats may not be able to collaborate with local governments in driving smart city initiatives.…”

Section: Understanding Urban Mobilitymentioning

confidence: 99%

Artificial Intelligence Policies to Enhance Urban Mobility in Southeast Asia

Chong¹,

Villanueva-Libunao²,

Chee³

et al. 2022

Front. Sustain. Cities

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Artificial intelligence (AI) is a powerful tool for technological progress with profound impacts on governments, industries, universities, and societies. In Southeast Asia, AI has presented both opportunities and challenges. Local governments are increasingly experimenting and piloting AI technology to create smart, sustainable, and inclusive cities. Nevertheless, the adoption of artificial intelligence in cities requires proper planning, management, and implementation. Consequently, there is a need for a concerted effort to establish collaboration between industries, governments, academics, and societies in Southeast Asia. This policy brief aims to provide an overview of how artificial intelligence can be implemented to enhance urban mobility in Southeast Asia. To maximize the relevance of the policy brief, experts from various fields have been consulted in its preparation.

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How Transboundary Learning Occurs: Case Study of the ASEAN Smart Cities Network (ASCN)

Cited by 14 publications

References 62 publications

Mobile Apps Leveraged in the COVID-19 Pandemic in East and South-East Asia: Review and Content Analysis

Mobile Apps Leveraged in the COVID-19 Pandemic in East and South-East Asia: Review and Content Analysis

The government of Indonesia’s smart city development: Fiscal capacity, cognitive models in decision making, excessive caution about future accrual of benefits, and null regulatory leadership

Artificial Intelligence Policies to Enhance Urban Mobility in Southeast Asia

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