On your marks, headset, go! Understanding the building blocks of metaverse realms

Keegan, Brendan James; McCarthy, Ian P.; Kietzmann, Jan; Canhoto, Ana Isabel

doi:10.1016/j.bushor.2023.09.002

Cited by 10 publications

(2 citation statements)

References 29 publications

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“…As these entities evolve into intelligent, autonomous, and integrated entities, a digital shadow emerges, propelling ecological and social betterment into the forefront. At the vanguard of this transformation stands the Internet of Things (IoT), serving as the conduit between the digital realm and the physical world [16]. Notably, emerging technologies such as Blockchain are poised to revolutionize secure transactions and identity management within cities, fostering trust and transparency [17][18][19][20].…”

Section: The Essence Of Smart Citiesmentioning

confidence: 99%

“…Through sophisticated algorithms and machine learning, AI sifts through vast datasets to uncover intricate patterns, autonomously refining systems with minimal human intervention. For instance, the intricate road system in Los Angeles has learned to optimize traffic flows through this autonomous self-improvement process, a testament to the potential unleashed by AI-driven urban innovations [11,15,16].…”

Section: The Essence Of Smart Citiesmentioning

confidence: 99%

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Algorithmic Innovations in Multi-Agent Reinforcement Learning: A Pathway for Smart Cities

Agbossou

2023

Artificial Intelligence Annual Volume 2024

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The concept of smart cities has emerged as an instrumental solution to tackle the intricate challenges associated with urbanization in the twenty-first century. Among the myriad of issues that smart cities aim to address, key concerns such as efficient traffic management, sustainable energy usage, resilient infrastructure, and enhanced public safety are at the forefront. Notably, the implementation of multi-agent reinforcement learning (MARL) has garnered significant attention for its potential role in realizing the vision of smart cities. This chapter serves as an exploration of the frontiers of algorithmic innovation within MARL and its direct applicability to address the complex challenges of urban smart grid systems. The integration of MARL principles is vital in comprehensively modeling the intricate, interdependent urban systems that underpin the smart city framework. Particularly, we emphasize the relevance of MARL in providing adaptive solutions to the intricate dynamics of the urban smart grid, ensuring effective management of energy resources and demand-side management.

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Section: The Essence Of Smart Citiesmentioning

confidence: 99%

Section: The Essence Of Smart Citiesmentioning

confidence: 99%

Algorithmic Innovations in Multi-Agent Reinforcement Learning: A Pathway for Smart Cities

Agbossou

2023

Artificial Intelligence Annual Volume 2024

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Purchase spillovers from the metaverse to the real world: The roles of social presence, trialability, and customer experience

Mansoor,

Rahman,

Bowden

2024

J of Consumer Behaviour

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The promise of the metaverse as a collective, virtual, and shared social space is revolutionizing digital retail. This study provides groundbreaking insights into customer experience in immersive metaverse environments, as well as into how these experiences on metaverse platforms influence customers' real‐world consumption behaviors. Drawing upon data from metaverse platform users in the US, this study identifies the specific antecedents of a positive customer experience on metaverse platforms, including the role of social presence and trialability. Further, it demonstrates the potential for purchase spillovers from the metaverse to traditional retail channels, extending the omnichannel retail literature. In addition, it examines how early‐stage versus long‐term users of the metaverse shape users' intentions to revisit metaverse platforms. Based on our results, we offer a comprehensive model of customers' metaverse behaviors, which may be used to predict and enhance customers' purchase intentions across channels. Our results also demonstrate that the metaverse is not merely a parallel digital retail channel but instead an influential extension of the customers' real‐world consumption. From a managerial perspective, we offer metaverse operators and retail brand managers insights into how an engaging and immersive customer experience in the metaverse can be developed to support metaverse platform growth, and targeted brand strategies that translate into real‐world gain for both the brand and the customer. The findings suggest that metaverse platforms must deliver customer experiences at a very high level to prevent stagnation in metaverse usage intentions; therefore, managers can confidently continue investing in relevant strategies to fuel metaverse platform growth.

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Navigating the enterprise metaverse: How virtual reality affects business agility and meeting outcomes

Aliman,

Hennig-Thurau,

Henke

2024

Business Horizons

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On your marks, headset, go! Understanding the building blocks of metaverse realms

Cited by 10 publications

References 29 publications

Algorithmic Innovations in Multi-Agent Reinforcement Learning: A Pathway for Smart Cities

Algorithmic Innovations in Multi-Agent Reinforcement Learning: A Pathway for Smart Cities

Purchase spillovers from the metaverse to the real world: The roles of social presence, trialability, and customer experience

Navigating the enterprise metaverse: How virtual reality affects business agility and meeting outcomes

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