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Book ChapterDOI

Enterprise Systems for Networked Smart Cities

TLDR
This chapter addresses the challenges of the digital aspect of the smart city and introduces partial least square regression, a structural equation modeling method to explore interrelationships between different interdisciplinary constructs and show its application to studying smart city systems.
Abstract
Smart city concept redefines the urban planning and development of the existing and new cities. It drives on economic, social, and environmental sustainability of a city and attracts citizens, professionals, and corporations to build sustainable living. It portrays a city that is operationally optimal and provides a space for innovation. This is achieved through state of the art physical, institutional, and digital infrastructure. This chapter addresses the challenges of the digital aspect of the smart city. Enterprise systems technology is widely used in the organizations and will be utilized in the Smart city systems conceptualization and implementation. Smart city systems definition has been derived by analyzing the smart city requirements. Enterprise systems technology has been explained and the latest ICT trends have been explored to develop the technological foundation of smart city systems. Finally, we introduce partial least square regression, a structural equation modeling method to explore interrelationships between different interdisciplinary constructs and show its application to studying smart city systems. From the digital perspective of smart city, it may be concluded that connectedness leads to integration and integration leads to dynamism and dynamism leads to smartness and cycle continues to realize the best in class smart city.

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Citations
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Journal ArticleDOI

Sehaa: A big data analytics tool for healthcare symptoms and diseases detection using Twitter, Apache Spark, and Machine Learning

TL;DR: Sehaa, a big data analytics tool for healthcare in the Kingdom of Saudi Arabia (KSA) using Twitter data in Arabic, found that the top five diseases in Saudi Arabia in terms of the actual aicted cases are dermal diseases, heart diseases, hypertension, cancer, and diabetes.
Journal ArticleDOI

Distributed Artificial Intelligence-as-a-Service (DAIaaS) for Smarter IoE and 6G Environments.

TL;DR: A framework for Distributed AI as a Service (DAIaaS) provisioning for Internet of Everything (IoE) and 6G environments is proposed to facilitate standardization of distributed AI provisioning, allow developers to focus on the domain-specific details without worrying about distributed training and inference, and help systemize the mass-production of technologies for smarter environments.
Journal ArticleDOI

E-learning services to achieve sustainable learning and academic performance: An empirical study

TL;DR: A holistic E- learning service framework is proposed to ensure effective delivery and use of E-Learning Services that contributes to sustainable learning and academic performance and will help achieve the sustainable and successful adoption of E -Learning services.
Journal ArticleDOI

E-Learning Acceptance: The Role of Task–Technology Fit as Sustainability in Higher Education

TL;DR: In this paper, the role of task-technology fit and e-learning usage in education sustainability has been explored using the technology acceptance model (TAM), which has a positive impact on student satisfaction and academic performance as well as sustainability.
Journal ArticleDOI

Sustainable Participatory Governance: Data-Driven Discovery of Parameters for Planning Online and In-Class Education in Saudi Arabia During COVID-19

TL;DR: This study provides a case study on sustainable participatory governance using a data-driven parameter discovery for planning online, in-class, and blended learning in Saudi Arabia evidenced during the COVID-19 pandemic.
References
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ReportDOI

The NIST Definition of Cloud Computing

Peter Mell, +1 more
TL;DR: This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models.
Posted Content

The Use of Partial Least Squares Path Modeling in International Marketing

TL;DR: An evaluation of double-blind reviewed journals through important academic publishing databases revealed that more than 30 academic articles in the domain of international marketing (in a broad sense) used PLS path modeling as means of statistical analysis.
Journal ArticleDOI

Structural equation modeling and regression: guidelines for research practice

TL;DR: The article presents a running example which analyzes the same dataset via three very different statistical techniques and compares two classes of SEM: covariance-based SEM and partial-least-squaresbased SEM, and discusses linear regression models and guidelines as to when SEM techniques and when regression techniques should be used.
Journal ArticleDOI

A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study

TL;DR: A new latent variable modeling approach is provided that can give more accurate estimates of interaction effects by accounting for the measurement error that attenuates the estimated relationships.
Book ChapterDOI

The use of partial least squares path modeling in international marketing

TL;DR: In this article, the authors conducted an exhaustive literature review to determine the status quo of PLS path modeling in international marketing research and found that more than 30 academic articles in the domain of international marketing used PLS as a means of statistical analysis.
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