Artificial intelligence in urban services in Malaysia: a review

Samsurijan, Mohamad Shaharudin; Ebekozien, Andrew; Azazi, Noor Alyani Nor; Shaed, Maslina Mohammed; Firdaus, R. B. Radin

doi:10.1108/prr-07-2021-0034

Cited by 14 publications

(9 citation statements)

References 28 publications

(26 reference statements)

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“…The combined intellect of neuroscientists, engineers and mathematicians has led the modern AI and big data applications toward solving every issue in various sectors of the economy like education (Chaurasia et al, 2018), health (Anam and Haque, 2020), tourism (Tian et al, 2021), hospitality (Zarezadeh et al, 2022), supply chain management, (Del Giudice et al, 2021) etc. In the area of financial services also AI is being used extensively and the onus of development as well as deployment of AI for marketing such financial services lie on managers majorly (Mogaji and Nguyen, 2021).To adopt AI systems in industry government interventions at various levels are required to improve their implications for the society as a whole (Chatterjee, 2020;Samsurijan et al, 2022). The core of business decisions lie on gaining strategic advancements over the competitors and after a point of time cost control and reduction of cost becomes the objective.…”

Section: Introductionmentioning

confidence: 99%

“…In the area of financial services also AI is being used extensively and the onus of development as well as deployment of AI for marketing such financial services lie on managers majorly (Mogaji and Nguyen, 2021). To adopt AI systems in industry government interventions at various levels are required to improve their implications for the society as a whole (Chatterjee, 2020; Samsurijan et al , 2022). The core of business decisions lie on gaining strategic advancements over the competitors and after a point of time cost control and reduction of cost becomes the objective.…”

Section: Introductionmentioning

confidence: 99%

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Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses

Arora

Sharma

2022

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Purpose The purpose of this paper is to see how critical and vital artificial intelligence (AI) and big data are in today’s world. Besides this, this paper also seeks to explore qualitative and theoretical perspectives to underscore the importance of AI and big data applications in multi-sectoral scenarios of businesses across the world. Moreover, this paper also aims at working out the scope of ontological communicative perspectives based on AI alongside emphasizing their relevance in business organizations that need to survive and sustain with a view to achieve their strategic goals. Design/methodology/approach This paper attempts to explore the qualitative perspectives to build a direction for strategic management via addressing the following research questions concerned with assessing the scope of ontological communicative perspectives in AI relevant to business organizations; exploring benefits of big data combined with AI in modern businesses; and underscoring the importance of AI and big data applications in multi-sectoral scenarios of businesses in today’s world. Employing bibliometric analysis along with NVivo software to do sentiment analysis, this paper attempts to develop an understanding of what happens when AI and big data are combined in businesses. Findings AI and big data have tremendous bearing on modern businesses. Because big data comprises enormous information of diverse sorts, AI-assisted machines, tools and devices help modern businesses process it quickly, efficiently and meaningfully. Therefore, business leaders and entrepreneurs need to focus heavily on ontological and communicative perspectives to deal with diverse range of challenges and problems particularly in the context of recent crises caused by COVID-19 pandemic. Research limitations/implications There is hardly any arena of human activity wherein AI and big data are not relevant. The implication of this paper is that of combining both well so that we may find answers to the difficult and challenging multi-sectoral scenarios concerning not just businesses but life at large. Moreover, automated tools based on AI such as natural language processing and speech to text also facilitate meaningful communication at various levels not just in business organizations but other fields of human activities as well. Social implications This paper has layered social implications, as it conceptually works out as to how strategically we may combine AI and big data to benefit modern business scenarios dealing with service providers, manufacturers, entrepreneurs, business leaders, customers and consumers. All the stakeholders are socio-culturally and contextually rooted/situated, and that is how this study becomes socially relevant. Originality/value This paper is an original piece of research and has been envisioned in view of the challenging business scenarios across the world today. This paper underscores the importance of strategically combining AI and big data, as they have enormous bearing on modern businesses. The insights arrived at in this paper have implications for business leaders and entrepreneurs across the globe who could focus more on ontological and communicative perspectives of AI combined with Big Data to deal with diverse range of challenges and problems that modern businesses have been facing particularly in recent times.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses

Arora

Sharma

2022

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“…The fourth industrial revolution (4IR) of today necessitates an openness to the practical implications of recent developments in computing (Samsurijan et al, 2022). Data analytics tools and AI are being used by emerging technologies like the Internet of Things to predict and warn of potential disasters.…”

Section: Discussionmentioning

confidence: 99%

The Disaster-Resilient Smart City in Malaysia: The Use of Technology in Flood Management

Ridzuan¹,

Razali²,

Ju³

et al. 2022

IJARBSS

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Growth in metropolitan areas is occurring at a rate never seen before in human history. Almost two-thirds of the world's population is expected to reside in cities by the year 2050, up from a current percentage of more than half. Floods provide new risks and uncertainties at a time when growing urbanization is already putting a strain on finite resources and infrastructure. With the rise of smart cities as a solution to urban problems like flooding, many nations have made their largest cities more advanced than before. This study has accomplished its goal of generating interest in smart cities as a research topic by examining the use of smart city applications on flood management in Malaysia. It is hoped that this research would help policymakers develop a meaningful public policy and program to enhance smart city technologies, particularly for flood management.

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“…The policies and plans implemented by local governments in terms of infrastructure and municipal services as UEM affect how individuals view and judge governments (Samsurijan et al 2022). Their actions, as a policy tool, can affect the QOL of individuals and lead to their satisfaction (Majumdar et al 2021).…”

Section: Urban Infrastructure and Facilities (Urban Services)mentioning

confidence: 99%

Environmental social science and urban environment management: A review of pathways link- ing policies and planning to citizens living by the river

Mousazadeh

2022

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Urban environment management (UEM) and environmental social science (ESS) are two interconnected approaches that show significant potential for creating more sustainable and liveable cities. Their research has, however, been mainly disjointed, which may be because planning and policy have placed more emphasis on UEM than ESS at the same time. This research examined ESS in terms of the quality of life (QOL) criteria and sense of place (SOP) of citizens living by the river with the UEM intervention in the form of policies and programmes. The effects of fieldwork in the form of specialised and spatial interviews are presented in this research, which is usually ignored in the literature review of this type of analysis. The study aims to fill the current gap in this field in three European capitals by providing a reflective methodological account of fieldwork and the ‘elite interviewing’ approach. This paper produces a distinct form of the localisation of the research and sampling techniques and is as new, interactive and developing as possible. The results of the present study are underpinned by the conceptual model of research, which supports the main aim of this analysis and tries to examine the components of research in a new perspective. The findings high- lighted that maintaining and strengthening ESS for citizens living next to rivers require innovative UEM, which uses urban creativity in the field of goals, urban settlements, strategies and management solutions to provide the base for increasing the liveability of the city and improving the quality of urban life.

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Artificial intelligence in urban services in Malaysia: a review

Cited by 14 publications

References 28 publications

Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses

Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses

The Disaster-Resilient Smart City in Malaysia: The Use of Technology in Flood Management

Environmental social science and urban environment management: A review of pathways link- ing policies and planning to citizens living by the river

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