Towards Marketing 4.0: Vision and Survey on the Role of IoT and Data Science

Khargharia, Himadri Sikhar; Rehman, Muhammad Habib ur; Banerjee, Abhik; Montori, Federico; Forkan, Abdur Rahim Mohammad; Jayaraman, Prem Prakash

doi:10.3390/soc13040100

Cited by 3 publications

(1 citation statement)

References 58 publications

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“…UAVs can be used to transport products from warehouses or distribution centers to retail stores, improving the efficiency of the supply chain [163]. The benefits of using UAVs for retail delivery may include increased customer satisfaction by delivering products faster, reducing delivery cost, and improving environmental impact [164].…”

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confidence: 99%

Global Models of Smart Cities and Potential IoT Applications: A Review

Hassebo,

Tealab

2023

IoT

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As the world becomes increasingly urbanized, the development of smart cities and the deployment of IoT applications will play an essential role in addressing urban challenges and shaping sustainable and resilient urban environments. However, there are also challenges to overcome, including privacy and security concerns, and interoperability issues. Addressing these challenges requires collaboration between governments, industry stakeholders, and citizens to ensure the responsible and equitable implementation of IoT technologies in smart cities. The IoT offers a vast array of possibilities for smart city applications, enabling the integration of various devices, sensors, and networks to collect and analyze data in real time. These applications span across different sectors, including transportation, energy management, waste management, public safety, healthcare, and more. By leveraging IoT technologies, cities can optimize their infrastructure, enhance resource allocation, and improve the quality of life for their citizens. In this paper, eight smart city global models have been proposed to guide the development and implementation of IoT applications in smart cities. These models provide frameworks and standards for city planners and stakeholders to design and deploy IoT solutions effectively. We provide a detailed evaluation of these models based on nine smart city evaluation metrics. The challenges to implement smart cities have been mentioned, and recommendations have been stated to overcome these challenges.

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confidence: 99%

Global Models of Smart Cities and Potential IoT Applications: A Review

Hassebo,

Tealab

2023

IoT

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Securing internet of things using machine and deep learning methods: a survey

Ghaffari,

Jelodari,

pouralish

et al. 2024

Cluster Comput

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The Internet of Things (IoT) is a vast network of devices with sensors or actuators connected through wired or wireless networks. It has a transformative effect on integrating technology into people’s daily lives. IoT covers essential areas such as smart cities, smart homes, and health-based industries. However, security and privacy challenges arise with the rapid growth of IoT devices and applications. Vulnerabilities such as node spoofing, unauthorized access to data, and cyberattacks such as denial of service (DoS), eavesdropping, and intrusion detection have emerged as significant concerns. Recently, machine learning (ML) and deep learning (DL) methods have significantly progressed and are robust solutions to address these security issues in IoT devices. This paper comprehensively reviews IoT security research focusing on ML/DL approaches. It also categorizes recent studies on security issues based on ML/DL solutions and highlights their opportunities, advantages, and limitations. These insights provide potential directions for future research challenges.

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Marketing Applications of Emerging Technologies

Aarabe,

Ben Khizzou,

Alla

et al. 2024

AI and Data Engineering Solutions for Effective Marketing

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In today's global environment, integrating emerging technologies has become a necessity. This book explores the intersection of technology and marketing, providing an overview of technological advancements and their impact on marketing practices. This chapter proposes a systematic literature review following the PRISMA protocol to explore the breadth and scope of applicability of emerging technology solutions in marketing. The aim is to highlight the key opportunities and challenges for marketing applications of such technologies. This analysis, conducted using Nvivo V12 software, indicates that emerging technologies such as artificial intelligence, augmented reality, the internet of things, blockchain, and data analytics are increasingly important in marketing practices and strategies. These technologies are primarily used to understand and satisfy individual customer needs and improve the customer experience.

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Towards Marketing 4.0: Vision and Survey on the Role of IoT and Data Science

Cited by 3 publications

References 58 publications

Global Models of Smart Cities and Potential IoT Applications: A Review

Global Models of Smart Cities and Potential IoT Applications: A Review

Securing internet of things using machine and deep learning methods: a survey

Marketing Applications of Emerging Technologies

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