Developing Smartness in Emerging Environments and Applications with a Focus on the Internet of Things

Mehmood, Rashid; Corchado, Juan M.; Yiğitcanlar, Tan

doi:10.3390/s22228939

Cited by 1 publication

(1 citation statement)

References 24 publications

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“…Examples of services in this macro-parameter include emergency and disaster response services, surface and underwater monitoring services, tourism & hospitality services, public-private partnership services, and social media and chatbot services. These services are designed to improve the overall quality of life for individuals and communities by providing them with more effective and efficient services [148].…”

Section: Smart Society and Infrastructurementioning

confidence: 99%

Autonomous and Sustainable Service Economies: Data-Driven Optimization of Design and Operations through Discovery of Multi-Perspective Parameters

Alahmari,

Mehmood,

Alzahrani

et al. 2023

Sustainability

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The rise in the service economy has been fueled by breakthroughs in technology, globalization, and evolving consumer patterns. However, this sector faces various challenges, such as issues related to service quality, innovation, efficiency, and sustainability, as well as macro-level challenges such as globalization, geopolitical risks, failures of financial institutions, technological disruptions, climate change, demographic shifts, and regulatory changes. The impacts of these challenges on society and the economy can be both significant and unpredictable, potentially endangering sustainability. Therefore, it is crucial to comprehensively study services and service economies at both holistic and local levels. To this end, the objective of this study is to develop and validate an artificial-intelligence-based methodology to gain a comprehensive understanding of the service sector by identifying key parameters from the academic literature and public opinion. This methodology aims to provide in-depth insights into the creation of smarter, more sustainable services and economies, ultimately contributing to the development of sustainable future societies. A software tool is developed that employs a data-driven approach involving the use of word embeddings, dimensionality reduction, clustering, and word importance. A large dataset comprising 175 K research articles was created from the Scopus database, and after analysis, 29 distinct parameters related to the service sector were identified and grouped into 6 macro-parameters: smart society and infrastructure, digital transformation, service lifecycle management, and others. The analysis of over 112 K tweets collected from Saudi Arabia identified 11 parameters categorized into 2 macro-parameters: private sector services and government services. The software tool was used to generate a knowledge structure, taxonomy, and framework for the service sector, in addition to a detailed literature review based on over 300 research articles. The conclusions highlight the significant theoretical and practical implications of the presented study for autonomous capabilities in systems, which can contribute to the development of sustainable, responsible, and smarter economies and societies.

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Section: Smart Society and Infrastructurementioning

confidence: 99%

Autonomous and Sustainable Service Economies: Data-Driven Optimization of Design and Operations through Discovery of Multi-Perspective Parameters

Alahmari,

Mehmood,

Alzahrani

et al. 2023

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

Developing Smartness in Emerging Environments and Applications with a Focus on the Internet of Things

Abstract: The smartness that underpins smart cities and societies is defined by our ability to engage with our environments, analyze them, and make decisions, all in a timely manner [...]

Cited by 1 publication

References 24 publications

Autonomous and Sustainable Service Economies: Data-Driven Optimization of Design and Operations through Discovery of Multi-Perspective Parameters

Autonomous and Sustainable Service Economies: Data-Driven Optimization of Design and Operations through Discovery of Multi-Perspective Parameters

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