Analyzing the Evolution of Interdisciplinary Areas

Lee, Won Sang

doi:10.4018/jgim.304062

Cited by 9 publications

(6 citation statements)

References 49 publications

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“…This is particularly true when a country seeks to transition its social and governmental infrastructure to Society 5.0, i.e., to shift from an information society (Society 4.0) to a super smart society. Ultimately, open data are the driving force behind the development of a human-centred society that resolves social and economic challenges using the technological breakthroughs of Society 4.0 [4,6,27] This, of course, raises the question of what 'open government data' actually is. How, in other words, is it defined?…”

Section: Literature Reviewmentioning

confidence: 99%

“…To optimise their efficiency and benefits, which include social, economic and environmental value [4,6], smart cities need to be built around infrastructures that encourage and allow for the free interchange of non-sensitive data by all public and private organisations. In fact, the need for governments to share information as part of smart city realisation is critical.…”

Section: Introductionmentioning

confidence: 99%

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Transitioning to Smart Cities in Gulf Cooperation Council Countries: The Role of Leadership and Organisational Culture

et al. 2023

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The concept of Society 5.0, first introduced by Japan in 2016, has become a widely accepted model for the development of social infrastructures across the world. It is a model which is expected to take root globally over the next few years. It is also a model which has smart cities, which are connected and inclusive, at its core. The role of open data is critical to smart cities, and the ability to design and implement strategies for its use is a crucial element in their growth and success. This requires a leadership and organisational culture that embraces the concept of open government data (OGD) and understands its key role in the development of smart cities. In this paper, we examine how the leadership and organisational culture in Gulf Cooperation Council (GCC) Countries has impacted the progress of OGD initiatives and, therefore, the transition to smart cities. This is approached via a re-analysis of data from an earlier study in which semi-structured interviews were used to understand the views and attitudes of a range of senior government department personnel in OGD-related roles, where here a new thematic analysis seeks to identify clearer pointers to attitudes and practices directly relating to smart cities and Society 5.0. The focus on internal factors, such as leadership attitudes and organisational culture, as opposed to external factors, such as technology and resources, differentiates this research from previous studies and adds to our current knowledge. The findings lead to a discussion that identifies a likely gap in the leadership provided by more senior figures. A pilot study of a group of these leaders suggests a generalised problem with communication of policy, objectives and strategies, which is crucial to overcoming cultural impediments to smart city development. While further research is required, a need clearly emerges for significant changes in attitude and application at senior managerial and leadership levels if strategic goals are to be achieved. The paper also makes a number of specific recommendations for activities that could improve progress and indicate areas where more research would be beneficial.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transitioning to Smart Cities in Gulf Cooperation Council Countries: The Role of Leadership and Organisational Culture

et al. 2023

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“…Understanding this interdisciplinary aspect of AI is likely to be a focus of future work to expand its applications to various data-driven problems. In particular, the interdisciplinary area could experience a rapid change and sudden development as Lee (2022) indicated and this development could affect academia as well as industries. Such interdisciplinary areas have attracted considerable interest among researchers in many ways [15].…”

Section: Tracking Ai Convergencesmentioning

confidence: 99%

“…Unfortunately, for AI, tracing the evolutionary trajectory of interdisciplinary aspects might be challenging as many interdisciplinary domains contribute towards vigorous interactions and changes. To elaborate on this, Langer et al (2021) further analyzed the stakeholders of AI and its ecosystem in terms of an explanation using an explicit model that emphasizes the presence of interdisciplinary opportunities [16].…”

Section: Tracking Ai Convergencesmentioning

confidence: 99%

Discovering AI-enabled convergences based on BERT and topic network

2023

KSII TIIS

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Various aspects of artificial intelligence (AI) have become of significant interest to academia and industry in recent times. To satisfy these academic and industrial interests, it is necessary to comprehensively investigate trends in AI-related changes of diverse areas. In this study, we identified and predicted emerging convergences with the help of AI-associated research abstracts collected from the SCOPUS database. The bidirectional encoder representations obtained via the transformers-based topic discovery technique were subsequently deployed to identify emerging topics related to AI. The topics discovered concern edge computing, biomedical algorithms, predictive defect maintenance, medical applications, fake news detection with block chain, explainable AI and COVID-19 applications. Their convergences were further analyzed based on the shortest path between topics to predict emerging convergences. Our findings indicated emerging AI convergences towards healthcare, manufacturing, legal applications, and marketing. These findings are expected to have policy implications for facilitating the convergences in diverse industries. Potentially, this study could contribute to the exploitation and adoption of AI-enabled convergences from a practical perspective.

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“…Lee [22] applied an LDA topic modeling algorithm to detect emerging topics in smart cities. Subsequently, a temporal analysis of the topic networks was conducted to gain deeper insights into the evolutionary curve of smart city research.…”

Section: Related Workmentioning

confidence: 99%

Investigating the Key Aspects of a Smart City through Topic Modeling and Thematic Analysis

Kousis,

Tjortjis

2023

Future Internet

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In recent years, the emergence of the smart city concept has garnered attention as a promising innovation aimed at addressing the multifactorial challenges arising from the concurrent trends of urban population growth and the climate crisis. In this study, we delve into the multifaceted dimensions of the smart city paradigm to unveil its underlying structure, employing a combination of quantitative and qualitative techniques. To achieve this, we collected textual data from three sources: scientific publication abstracts, news blog posts, and social media entries. For the analysis of this textual data, we introduce an innovative semi-automated methodology that integrates topic modeling and thematic analysis. Our findings highlight the intricate nature of the smart city domain, which necessitates examination from three perspectives: applications, technology, and socio-economic perspective. Through our analysis, we identified ten distinct aspects of the smart city paradigm, encompassing mobility, energy, infrastructure, environment, IoT, data, business, planning and administration, security, and people. When comparing the outcomes across the three diverse datasets, we noted a relative lack of attention within the scientific community towards certain aspects, notably in the realm of business, as well as themes relevant to citizens’ everyday lives, such as food, shopping, and green spaces. This work reveals the underlying thematic structure of the smart city concept to help researchers, practitioners, and public administrators participate effectively in smart city transformation initiatives. Furthermore, it introduces a novel data-driven method for conducting thematic analysis on large text datasets.

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Analyzing the Evolution of Interdisciplinary Areas

Cited by 9 publications

References 49 publications

Transitioning to Smart Cities in Gulf Cooperation Council Countries: The Role of Leadership and Organisational Culture

Transitioning to Smart Cities in Gulf Cooperation Council Countries: The Role of Leadership and Organisational Culture

Discovering AI-enabled convergences based on BERT and topic network

Investigating the Key Aspects of a Smart City through Topic Modeling and Thematic Analysis

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